diff --git "a/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32_2023-07-25-20-23_train.log" "b/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32_2023-07-25-20-23_train.log" deleted file mode 100644--- "a/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32_2023-07-25-20-23_train.log" +++ /dev/null @@ -1,12530 +0,0 @@ -2023-07-25 20:23:48,898 torch version: 1.9.1+cu102 -2023-07-25 20:23:48,898 torchvision version: 0.10.1+cu102 -2023-07-25 20:23:48,899 Namespace(NoDebug='', batch_size=32, cfg='experiments/mix_coco_coco/res101/256x192_COCO_COCOunlabel_AS.yaml', cm_aug=False, co_aug=False, conf_masking=False, conf_thresh=0.5, dataDir='', data_format='', distributed=True, epochs=400, exp_subname='baseline8_e400_b32', frequent=100, gpus='0,1,2,3,4,5,6,7', heat_fusion=False, jc_aug=False, jccm_aug=True, jo_aug=False, joco_aug=True, local_rank=0, logDir='', lr=0.001, lr_steps=[300, 350], modelDir='', mu_aug=False, multi_augs=True, num_gpus=None, pretrained_model='', prog_mode='', ra_aug=False, sharpen_pred=False, stepwise=False, train_len=None, workers=24) -2023-07-25 20:23:48,901 {'AUG_EASY_HARD_COUPLES': {'PROG_1': [['A30', 'A60'], - ['A30', 'MU'], - ['A30', 'CM'], - ['A30', 'CO'], - ['A30', 'JO'], - ['A30', 'JC']], - 'PROG_2': [['A30', 'JC'], - ['A30', 'JO'], - ['A30', 'CO'], - ['A30', 'CM'], - ['A30', 'MU'], - ['A30', 'A60']], - 'PROG_3': [['A30', 'A60'], - ['A60', 'MU'], - ['MU', 'CM'], - ['CM', 'CO'], - ['CO', 'JO'], - ['JO', 'JC']], - 'PROG_4': [['JO', 'JC'], - ['CO', 'JO'], - ['CM', 'CO'], - ['MU', 'CM'], - ['A60', 'MU'], - ['A30', 'A60']], - 'PROG_5': [['A30', 'A60'], - ['A30', 'CM'], - ['A30', 'JC'], - ['A30', 'JC+CM']], - 'PROG_6': [['A30', 'A60'], - ['A30', 'CO'], - ['A30', 'JO'], - ['A30', 'JO+CO']], - 'PROG_7': [['A30', 'JC+CM'], - ['A30', 'JC'], - ['A30', 'CM'], - ['A30', 'A60']], - 'PROG_8': [['A30', 'JO+CO'], - ['A30', 'JO'], - ['A30', 'CO'], - ['A30', 'A60']]}, - 'CONF_MASKING': False, - 'CONF_THRESH': 0.5, - 'CONS_RAND_AUG': False, - 'CUDNN': {'BENCHMARK': True, 'DETERMINISTIC': False, 'ENABLED': True}, - 'DATASET': {'AI_ROOT': '', - 'BOX_THRE': [0, 0], - 'COLOR_RGB': False, - 'DATA_FORMAT': 'jpg', - 'FLIP': True, - 'HYBRID_JOINTS_TYPE': '', - 'NUM_JOINTS_HALF_BODY': 8, - 'PROB_HALF_BODY': 0.0, - 'PSEUDO_ANNO': '', - 'ROOT': 'data/', - 'ROT_FACTOR': 30, - 'SCALE_FACTOR': 0.25, - 'SCORE_THRE': [0], - 'SELECT_DATA': False, - 'TEST_DATASET': 'coco', - 'TEST_SET': 'validation', - 'TRAIN_DATASET': 'mix_coco_coco', - 'TRAIN_LEN': -1, - 'TRAIN_SET': 'train', - 'TRAIN_UNSUP_SET': 'unlabeled2017'}, - 'DATA_DIR': '', - 'DEBUG': {'DEBUG': False, - 'SAVE_BATCH_IMAGES_GT': True, - 'SAVE_BATCH_IMAGES_PRED': True, - 'SAVE_HEATMAPS_GT': True, - 'SAVE_HEATMAPS_PRED': True}, - 'EXP_SUB_NAME': 'baseline8_e400_b32', - 'GPUS': '0,1,2,3,4,5,6,7', - 'HEAT_FUSION': False, - 'KP_CutMix_JOINT_NUM': 2, - 'LOCAL_RANK': 0, - 'LOG_DIR': 'log', - 'LOSS': {'USE_TARGET_WEIGHT': True}, - 'MASK_HOLES_NUM_CM': 2, - 'MASK_HOLES_NUM_CO': 5, - 'MASK_JOINT_NUM': 5, - 'MODEL': {'BACKBONE': 'resnet', - 'EXTRA': {'DECONV_WITH_BIAS': False, - 'FINAL_CONV_KERNEL': 1, - 'HEATMAP_SIZE': array([48, 64]), - 'NUM_DECONV_FILTERS': [256, 256, 256], - 'NUM_DECONV_KERNELS': [4, 4, 4], - 'NUM_DECONV_LAYERS': 3, - 'NUM_LAYERS': 101, - 'SIGMA': 2, - 'TARGET_TYPE': 'gaussian'}, - 'GROUPS': 1, - 'IMAGE_SIZE': array([192, 256]), - 'INIT_WEIGHTS': True, - 'NAME': 'pose_dual', - 'NUM_JOINTS': 24, - 'PRETRAINED': 'models/pytorch/imagenet/resnet101-5d3b4d8f.pth', - 'PRM': False, - 'SEG_PRETRAINED': '', - 'STYLE': 'pytorch', - 'TCH_PRETRAINED': '', - 'WIDTH_PER_GROUP': 64}, - 'MULTI_AUGS': True, - 'OUTPUT_DIR': 'output', - 'PRINT_FREQ': 100, - 'PROG_MODE': '', - 'RAND_MAGNITUDE': 20, - 'RAW_INPUT': False, - 'SAVE_INTER': 0, - 'SHARPEN_PRED': False, - 'STEP_WISE': False, - 'TEST': {'BATCH_SIZE': 32, - 'BBOX_THRE': 1.0, - 'COCO_BBOX_FILE': 'data/coco/person_detection_results/COCO_unlabeled2017_detections_person_faster_rcnn.json', - 'FLIP_TEST': False, - 'IMAGE_THRE': 0.0, - 'INTERVAL': 1, - 'IN_VIS_THRE': 0.2, - 'MODEL_FILE': 'models/pytorch/pose_dual/COCO_COCOwild/Res101_COCO_PoseDual_JointCut.pth.tar', - 'NMS_THRE': 1.0, - 'OKS_THRE': 0.9, - 'POST_PROCESS': True, - 'POST_TYPE': 'shift', - 'SAVE_RESULT': True, - 'SHIFT_HEATMAP': True, - 'USE_GT_BBOX': True}, - 'TRAIN': {'BATCH_SIZE': 32, - 'BEGIN_EPOCH': 0, - 'CHECKPOINT': '', - 'END_EPOCH': 400, - 'GAMMA1': 0.99, - 'GAMMA2': 0.0, - 'LR': 0.001, - 'LR_FACTOR': 0.1, - 'LR_STEP': [300, 350], - 'MOMENTUM': 0.9, - 'NESTEROV': False, - 'OPTIMIZER': 'adam', - 'RESUME': True, - 'SHUFFLE': True, - 'WD': 0.0001}, - 'UNSUP_TRANSFORM': True, - 'USE_CutMix_AUG': False, - 'USE_Cutout_AUG': False, - 'USE_JointCutMix_AUG': False, - 'USE_JointCutMix_CutOut_AUG': True, - 'USE_JointCutout_AUG': False, - 'USE_JointCutout_CutMix_AUG': True, - 'USE_MixUp_AUG': False, - 'USE_RandAug_AUG': False, - 'WORKERS': 24} -2023-07-25 20:23:56,873 => classes: ['__background__', 'person'] -2023-07-25 20:23:56,894 => num_images: 118287 -2023-07-25 20:23:57,163 => classes: ['__background__', 'person'] -2023-07-25 20:23:57,182 => num_images: 118287 -2023-07-25 20:23:57,186 => classes: ['__background__', 'person'] -2023-07-25 20:23:57,205 => num_images: 118287 -2023-07-25 20:23:57,221 => classes: ['__background__', 'person'] -2023-07-25 20:23:57,232 => classes: ['__background__', 'person'] -2023-07-25 20:23:57,238 => classes: ['__background__', 'person'] -2023-07-25 20:23:57,240 => num_images: 118287 -2023-07-25 20:23:57,252 => num_images: 118287 -2023-07-25 20:23:57,257 => num_images: 118287 -2023-07-25 20:23:57,936 => classes: ['__background__', 'person'] -2023-07-25 20:23:57,964 => num_images: 118287 -2023-07-25 20:23:58,200 => classes: ['__background__', 'person'] -2023-07-25 20:23:58,219 => num_images: 118287 -2023-07-25 20:24:19,311 => load 149813 samples -2023-07-25 20:24:19,349 => load 149813 samples -2023-07-25 20:24:19,417 => load 149813 samples -2023-07-25 20:24:19,507 => load 149813 samples -2023-07-25 20:24:19,635 => classes: ['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'] -2023-07-25 20:24:19,659 => num_images: 123403 -2023-07-25 20:24:19,660 => load 149813 samples -2023-07-25 20:24:19,670 => classes: ['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'] -2023-07-25 20:24:19,693 => num_images: 123403 -2023-07-25 20:24:19,739 => classes: ['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'] -2023-07-25 20:24:19,763 => num_images: 123403 -2023-07-25 20:24:19,830 => classes: ['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'] -2023-07-25 20:24:19,853 => num_images: 123403 -2023-07-25 20:24:19,902 => load 149813 samples -2023-07-25 20:24:19,979 => classes: ['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'] -2023-07-25 20:24:20,003 => num_images: 123403 -2023-07-25 20:24:20,223 => classes: ['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'] -2023-07-25 20:24:20,246 => num_images: 123403 -2023-07-25 20:24:21,009 => load 149813 samples -2023-07-25 20:24:21,334 => classes: ['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'] -2023-07-25 20:24:21,360 => num_images: 123403 -2023-07-25 20:24:22,990 => Total boxes: 161534 -2023-07-25 20:24:23,080 => Total boxes: 161534 -2023-07-25 20:24:23,127 => Total boxes: 161534 -2023-07-25 20:24:23,217 => Total boxes: 161534 -2023-07-25 20:24:23,323 => Total boxes: 161534 -2023-07-25 20:24:23,520 => Total boxes: 161534 -2023-07-25 20:24:23,750 => load 149813 samples -2023-07-25 20:24:24,068 => classes: ['__background__', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'] -2023-07-25 20:24:24,092 => num_images: 123403 -2023-07-25 20:24:24,844 => Total boxes: 161534 -2023-07-25 20:24:27,544 => Total boxes: 161534 -2023-07-25 20:24:27,633 => Total boxes after fliter low score@0.0: 161534 -2023-07-25 20:24:27,643 => Total boxes after fliter low score@0.0: 161534 -2023-07-25 20:24:27,729 => Total boxes after fliter low score@0.0: 161534 -2023-07-25 20:24:27,855 => Total boxes after fliter low score@0.0: 161534 -2023-07-25 20:24:28,033 => Total boxes after fliter low score@0.0: 161534 -2023-07-25 20:24:28,168 => Total boxes after fliter low score@0.0: 161534 -2023-07-25 20:24:29,490 => Total boxes after fliter low score@0.0: 161534 -2023-07-25 20:24:30,601 => load 161534 samples -2023-07-25 20:24:30,604 => Total load 161534 unlabeled samples -2023-07-25 20:24:30,670 => load 161534 samples -2023-07-25 20:24:30,674 => Total load 161534 unlabeled samples -2023-07-25 20:24:30,748 => load 161534 samples -2023-07-25 20:24:30,752 => Total load 161534 unlabeled samples -2023-07-25 20:24:30,793 => classes: ['__background__', 'person'] -2023-07-25 20:24:30,794 => num_images: 5000 -2023-07-25 20:24:30,801 => load 161534 samples -2023-07-25 20:24:30,805 => Total load 161534 unlabeled samples -2023-07-25 20:24:30,862 => classes: ['__background__', 'person'] -2023-07-25 20:24:30,863 => num_images: 5000 -2023-07-25 20:24:30,945 => classes: ['__background__', 'person'] -2023-07-25 20:24:30,946 => num_images: 5000 -2023-07-25 20:24:30,993 => classes: ['__background__', 'person'] -2023-07-25 20:24:30,994 => num_images: 5000 -2023-07-25 20:24:31,004 => load 161534 samples -2023-07-25 20:24:31,008 => Total load 161534 unlabeled samples -2023-07-25 20:24:31,130 => load 161534 samples -2023-07-25 20:24:31,134 => Total load 161534 unlabeled samples -2023-07-25 20:24:31,195 => classes: ['__background__', 'person'] -2023-07-25 20:24:31,196 => num_images: 5000 -2023-07-25 20:24:31,323 => classes: ['__background__', 'person'] -2023-07-25 20:24:31,324 => num_images: 5000 -2023-07-25 20:24:31,652 => load 6352 samples -2023-07-25 20:24:31,728 => load 6352 samples -2023-07-25 20:24:31,806 => load 6352 samples -2023-07-25 20:24:31,852 => load 6352 samples -2023-07-25 20:24:32,053 => load 6352 samples -2023-07-25 20:24:32,194 => load 6352 samples -2023-07-25 20:24:32,456 => load 161534 samples -2023-07-25 20:24:32,459 => Total load 161534 unlabeled samples -2023-07-25 20:24:32,483 => init deconv weights from normal distribution -2023-07-25 20:24:32,483 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:32,483 => init 0.bias as 0 -2023-07-25 20:24:32,532 => init 1.weight as 1 -2023-07-25 20:24:32,532 => init 1.bias as 0 -2023-07-25 20:24:32,532 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:32,532 => init 3.bias as 0 -2023-07-25 20:24:32,539 => init 4.weight as 1 -2023-07-25 20:24:32,539 => init 4.bias as 0 -2023-07-25 20:24:32,539 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:32,539 => init 6.bias as 0 -2023-07-25 20:24:32,545 => init 7.weight as 1 -2023-07-25 20:24:32,545 => init 7.bias as 0 -2023-07-25 20:24:32,545 => init final conv weights from normal distribution -2023-07-25 20:24:32,545 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:32,545 => init 8.bias as 0 -2023-07-25 20:24:32,546 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:32,551 => init deconv weights from normal distribution -2023-07-25 20:24:32,551 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:32,551 => init 0.bias as 0 -2023-07-25 20:24:32,600 => init 1.weight as 1 -2023-07-25 20:24:32,600 => init 1.bias as 0 -2023-07-25 20:24:32,600 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:32,600 => init 3.bias as 0 -2023-07-25 20:24:32,607 => init 4.weight as 1 -2023-07-25 20:24:32,607 => init 4.bias as 0 -2023-07-25 20:24:32,607 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:32,607 => init 6.bias as 0 -2023-07-25 20:24:32,613 => init 7.weight as 1 -2023-07-25 20:24:32,613 => init 7.bias as 0 -2023-07-25 20:24:32,613 => init final conv weights from normal distribution -2023-07-25 20:24:32,613 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:32,614 => init 8.bias as 0 -2023-07-25 20:24:32,614 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:32,631 => init deconv weights from normal distribution -2023-07-25 20:24:32,631 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:32,631 => init 0.bias as 0 -2023-07-25 20:24:32,649 => classes: ['__background__', 'person'] -2023-07-25 20:24:32,650 => num_images: 5000 -2023-07-25 20:24:32,676 => init deconv weights from normal distribution -2023-07-25 20:24:32,676 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:32,676 => init 0.bias as 0 -2023-07-25 20:24:32,681 => init 1.weight as 1 -2023-07-25 20:24:32,682 => init 1.bias as 0 -2023-07-25 20:24:32,682 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:32,682 => init 3.bias as 0 -2023-07-25 20:24:32,688 => init 4.weight as 1 -2023-07-25 20:24:32,688 => init 4.bias as 0 -2023-07-25 20:24:32,688 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:32,688 => init 6.bias as 0 -2023-07-25 20:24:32,695 => init 7.weight as 1 -2023-07-25 20:24:32,695 => init 7.bias as 0 -2023-07-25 20:24:32,695 => init final conv weights from normal distribution -2023-07-25 20:24:32,695 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:32,695 => init 8.bias as 0 -2023-07-25 20:24:32,695 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:32,727 => init 1.weight as 1 -2023-07-25 20:24:32,727 => init 1.bias as 0 -2023-07-25 20:24:32,727 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:32,727 => init 3.bias as 0 -2023-07-25 20:24:32,733 => init 4.weight as 1 -2023-07-25 20:24:32,733 => init 4.bias as 0 -2023-07-25 20:24:32,733 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:32,733 => init 6.bias as 0 -2023-07-25 20:24:32,740 => init 7.weight as 1 -2023-07-25 20:24:32,740 => init 7.bias as 0 -2023-07-25 20:24:32,740 => init final conv weights from normal distribution -2023-07-25 20:24:32,740 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:32,740 => init 8.bias as 0 -2023-07-25 20:24:32,740 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:32,875 => init deconv weights from normal distribution -2023-07-25 20:24:32,875 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:32,875 => init 0.bias as 0 -2023-07-25 20:24:32,925 => init 1.weight as 1 -2023-07-25 20:24:32,925 => init 1.bias as 0 -2023-07-25 20:24:32,925 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:32,925 => init 3.bias as 0 -2023-07-25 20:24:32,931 => init 4.weight as 1 -2023-07-25 20:24:32,931 => init 4.bias as 0 -2023-07-25 20:24:32,931 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:32,931 => init 6.bias as 0 -2023-07-25 20:24:32,938 => init 7.weight as 1 -2023-07-25 20:24:32,938 => init 7.bias as 0 -2023-07-25 20:24:32,938 => init final conv weights from normal distribution -2023-07-25 20:24:32,938 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:32,938 => init 8.bias as 0 -2023-07-25 20:24:32,938 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:32,961 Model 2 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:32,961 => init deconv weights from normal distribution -2023-07-25 20:24:32,961 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:32,961 => init 0.bias as 0 -2023-07-25 20:24:33,010 => init 1.weight as 1 -2023-07-25 20:24:33,010 => init 1.bias as 0 -2023-07-25 20:24:33,011 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:33,011 => init 3.bias as 0 -2023-07-25 20:24:33,016 => init deconv weights from normal distribution -2023-07-25 20:24:33,016 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:33,016 => init 0.bias as 0 -2023-07-25 20:24:33,017 => init 4.weight as 1 -2023-07-25 20:24:33,017 => init 4.bias as 0 -2023-07-25 20:24:33,017 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:33,017 => init 6.bias as 0 -2023-07-25 20:24:33,023 => init 7.weight as 1 -2023-07-25 20:24:33,024 => init 7.bias as 0 -2023-07-25 20:24:33,024 => init final conv weights from normal distribution -2023-07-25 20:24:33,024 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:33,024 => init 8.bias as 0 -2023-07-25 20:24:33,024 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,029 => Total boxes after fliter low score@0.0: 161534 -2023-07-25 20:24:33,031 Model 2 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,032 => init deconv weights from normal distribution -2023-07-25 20:24:33,032 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:33,032 => init 0.bias as 0 -2023-07-25 20:24:33,066 => init 1.weight as 1 -2023-07-25 20:24:33,066 => init 1.bias as 0 -2023-07-25 20:24:33,066 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:33,066 => init 3.bias as 0 -2023-07-25 20:24:33,072 => init 4.weight as 1 -2023-07-25 20:24:33,073 => init 4.bias as 0 -2023-07-25 20:24:33,073 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:33,073 => init 6.bias as 0 -2023-07-25 20:24:33,079 => init 7.weight as 1 -2023-07-25 20:24:33,079 => init 7.bias as 0 -2023-07-25 20:24:33,079 => init final conv weights from normal distribution -2023-07-25 20:24:33,079 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:33,079 => init 8.bias as 0 -2023-07-25 20:24:33,079 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,081 => init 1.weight as 1 -2023-07-25 20:24:33,081 => init 1.bias as 0 -2023-07-25 20:24:33,081 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:33,081 => init 3.bias as 0 -2023-07-25 20:24:33,088 => init 4.weight as 1 -2023-07-25 20:24:33,088 => init 4.bias as 0 -2023-07-25 20:24:33,088 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:33,088 => init 6.bias as 0 -2023-07-25 20:24:33,094 => init 7.weight as 1 -2023-07-25 20:24:33,094 => init 7.bias as 0 -2023-07-25 20:24:33,095 => init final conv weights from normal distribution -2023-07-25 20:24:33,095 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:33,095 => init 8.bias as 0 -2023-07-25 20:24:33,095 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,108 Model 2 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,108 => init deconv weights from normal distribution -2023-07-25 20:24:33,108 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:33,108 => init 0.bias as 0 -2023-07-25 20:24:33,152 Model 2 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,152 => init deconv weights from normal distribution -2023-07-25 20:24:33,152 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:33,152 => init 0.bias as 0 -2023-07-25 20:24:33,158 => init 1.weight as 1 -2023-07-25 20:24:33,159 => init 1.bias as 0 -2023-07-25 20:24:33,159 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:33,159 => init 3.bias as 0 -2023-07-25 20:24:33,165 => init 4.weight as 1 -2023-07-25 20:24:33,165 => init 4.bias as 0 -2023-07-25 20:24:33,165 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:33,165 => init 6.bias as 0 -2023-07-25 20:24:33,172 => init 7.weight as 1 -2023-07-25 20:24:33,172 => init 7.bias as 0 -2023-07-25 20:24:33,172 => init final conv weights from normal distribution -2023-07-25 20:24:33,172 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:33,172 => init 8.bias as 0 -2023-07-25 20:24:33,172 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,202 => init 1.weight as 1 -2023-07-25 20:24:33,202 => init 1.bias as 0 -2023-07-25 20:24:33,202 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:33,202 => init 3.bias as 0 -2023-07-25 20:24:33,208 => init 4.weight as 1 -2023-07-25 20:24:33,209 => init 4.bias as 0 -2023-07-25 20:24:33,209 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:33,209 => init 6.bias as 0 -2023-07-25 20:24:33,215 => init 7.weight as 1 -2023-07-25 20:24:33,215 => init 7.bias as 0 -2023-07-25 20:24:33,215 => init final conv weights from normal distribution -2023-07-25 20:24:33,215 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:33,215 => init 8.bias as 0 -2023-07-25 20:24:33,215 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,334 Model 2 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,335 => init deconv weights from normal distribution -2023-07-25 20:24:33,335 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:33,335 => init 0.bias as 0 -2023-07-25 20:24:33,384 => init 1.weight as 1 -2023-07-25 20:24:33,384 => init 1.bias as 0 -2023-07-25 20:24:33,384 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:33,384 => init 3.bias as 0 -2023-07-25 20:24:33,391 => init 4.weight as 1 -2023-07-25 20:24:33,391 => init 4.bias as 0 -2023-07-25 20:24:33,391 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:33,391 => init 6.bias as 0 -2023-07-25 20:24:33,397 => init 7.weight as 1 -2023-07-25 20:24:33,397 => init 7.bias as 0 -2023-07-25 20:24:33,397 => init final conv weights from normal distribution -2023-07-25 20:24:33,397 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:33,397 => init 8.bias as 0 -2023-07-25 20:24:33,397 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,496 Model 2 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:33,496 => init deconv weights from normal distribution -2023-07-25 20:24:33,496 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:33,496 => init 0.bias as 0 -2023-07-25 20:24:33,528 => load 6352 samples -2023-07-25 20:24:33,545 => init 1.weight as 1 -2023-07-25 20:24:33,545 => init 1.bias as 0 -2023-07-25 20:24:33,545 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:33,545 => init 3.bias as 0 -2023-07-25 20:24:33,552 => init 4.weight as 1 -2023-07-25 20:24:33,552 => init 4.bias as 0 -2023-07-25 20:24:33,552 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:33,552 => init 6.bias as 0 -2023-07-25 20:24:33,558 => init 7.weight as 1 -2023-07-25 20:24:33,558 => init 7.bias as 0 -2023-07-25 20:24:33,559 => init final conv weights from normal distribution -2023-07-25 20:24:33,559 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:33,559 => init 8.bias as 0 -2023-07-25 20:24:33,559 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:34,380 => init deconv weights from normal distribution -2023-07-25 20:24:34,380 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:34,380 => init 0.bias as 0 -2023-07-25 20:24:34,430 => init 1.weight as 1 -2023-07-25 20:24:34,430 => init 1.bias as 0 -2023-07-25 20:24:34,430 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:34,430 => init 3.bias as 0 -2023-07-25 20:24:34,437 => init 4.weight as 1 -2023-07-25 20:24:34,437 => init 4.bias as 0 -2023-07-25 20:24:34,437 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:34,437 => init 6.bias as 0 -2023-07-25 20:24:34,443 => init 7.weight as 1 -2023-07-25 20:24:34,444 => init 7.bias as 0 -2023-07-25 20:24:34,444 => init final conv weights from normal distribution -2023-07-25 20:24:34,444 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:34,444 => init 8.bias as 0 -2023-07-25 20:24:34,444 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:34,848 Model 2 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:34,849 => init deconv weights from normal distribution -2023-07-25 20:24:34,849 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:34,849 => init 0.bias as 0 -2023-07-25 20:24:34,898 => init 1.weight as 1 -2023-07-25 20:24:34,899 => init 1.bias as 0 -2023-07-25 20:24:34,899 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:34,899 => init 3.bias as 0 -2023-07-25 20:24:34,905 => init 4.weight as 1 -2023-07-25 20:24:34,905 => init 4.bias as 0 -2023-07-25 20:24:34,905 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:34,905 => init 6.bias as 0 -2023-07-25 20:24:34,912 => init 7.weight as 1 -2023-07-25 20:24:34,912 => init 7.bias as 0 -2023-07-25 20:24:34,912 => init final conv weights from normal distribution -2023-07-25 20:24:34,912 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:34,912 => init 8.bias as 0 -2023-07-25 20:24:34,912 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:36,116 => load 161534 samples -2023-07-25 20:24:36,120 => Total load 161534 unlabeled samples -2023-07-25 20:24:36,311 => classes: ['__background__', 'person'] -2023-07-25 20:24:36,313 => num_images: 5000 -2023-07-25 20:24:37,237 => load 6352 samples -2023-07-25 20:24:38,074 => init deconv weights from normal distribution -2023-07-25 20:24:38,074 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:38,075 => init 0.bias as 0 -2023-07-25 20:24:38,128 => init 1.weight as 1 -2023-07-25 20:24:38,128 => init 1.bias as 0 -2023-07-25 20:24:38,128 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:38,128 => init 3.bias as 0 -2023-07-25 20:24:38,135 => init 4.weight as 1 -2023-07-25 20:24:38,135 => init 4.bias as 0 -2023-07-25 20:24:38,135 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:38,135 => init 6.bias as 0 -2023-07-25 20:24:38,142 => init 7.weight as 1 -2023-07-25 20:24:38,142 => init 7.bias as 0 -2023-07-25 20:24:38,142 => init final conv weights from normal distribution -2023-07-25 20:24:38,142 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:38,142 => init 8.bias as 0 -2023-07-25 20:24:38,142 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:38,574 Model 2 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:24:38,574 => init deconv weights from normal distribution -2023-07-25 20:24:38,574 => init 0.weight as normal(0, 0.001) -2023-07-25 20:24:38,574 => init 0.bias as 0 -2023-07-25 20:24:38,623 => init 1.weight as 1 -2023-07-25 20:24:38,623 => init 1.bias as 0 -2023-07-25 20:24:38,623 => init 3.weight as normal(0, 0.001) -2023-07-25 20:24:38,623 => init 3.bias as 0 -2023-07-25 20:24:38,630 => init 4.weight as 1 -2023-07-25 20:24:38,630 => init 4.bias as 0 -2023-07-25 20:24:38,630 => init 6.weight as normal(0, 0.001) -2023-07-25 20:24:38,630 => init 6.bias as 0 -2023-07-25 20:24:38,636 => init 7.weight as 1 -2023-07-25 20:24:38,636 => init 7.bias as 0 -2023-07-25 20:24:38,636 => init final conv weights from normal distribution -2023-07-25 20:24:38,636 => init 8.weight as normal(0, 0.001) -2023-07-25 20:24:38,636 => init 8.bias as 0 -2023-07-25 20:24:38,636 => loading pretrained model models/pytorch/imagenet/resnet101-5d3b4d8f.pth -2023-07-25 20:25:08,066 Epoch: [0][0/631] Time 23.611s (23.611s) Speed 1.4 samples/s Data 14.772s (14.772s) Loss 0.001193 (0.001193) Accuracy 0.010 (0.010) loss_pose: 0.000936 loss_cons: 0.000257 -2023-07-25 20:27:41,123 Epoch: [0][100/631] Time 1.496s (1.749s) Speed 21.4 samples/s Data 0.000s (0.147s) Loss 0.000972 (0.001970) Accuracy 0.000 (0.001) loss_pose: 0.000954 loss_cons: 0.000018 -2023-07-25 20:30:13,234 Epoch: [0][200/631] Time 1.562s (1.636s) Speed 20.5 samples/s Data 0.000s (0.074s) Loss 0.000926 (0.001449) Accuracy 0.000 (0.001) loss_pose: 0.000919 loss_cons: 0.000007 -2023-07-25 20:32:44,867 Epoch: [0][300/631] Time 1.495s (1.596s) Speed 21.4 samples/s Data 0.000s (0.050s) Loss 0.000978 (0.001270) Accuracy 0.000 (0.001) loss_pose: 0.000964 loss_cons: 0.000014 -2023-07-25 20:35:15,476 Epoch: [0][400/631] Time 1.489s (1.574s) Speed 21.5 samples/s Data 0.000s (0.037s) Loss 0.000948 (0.001185) Accuracy 0.003 (0.001) loss_pose: 0.000942 loss_cons: 0.000006 -2023-07-25 20:37:45,971 Epoch: [0][500/631] Time 1.488s (1.560s) Speed 21.5 samples/s Data 0.000s (0.030s) Loss 0.000907 (0.001132) Accuracy 0.000 (0.001) loss_pose: 0.000898 loss_cons: 0.000008 -2023-07-25 20:40:16,417 Epoch: [0][600/631] Time 1.470s (1.551s) Speed 21.8 samples/s Data 0.000s (0.025s) Loss 0.000912 (0.001095) Accuracy 0.000 (0.001) loss_pose: 0.000908 loss_cons: 0.000004 -2023-07-25 20:41:01,136 Epoch: [0][630/631] Time 1.539s (1.548s) Speed 20.8 samples/s Data 0.000s (0.024s) Loss 0.000929 (0.001086) Accuracy 0.000 (0.001) loss_pose: 0.000925 loss_cons: 0.000004 -2023-07-25 20:41:07,252 Test: [0/199] Time 4.154 (4.154) Loss 0.0009 (0.0009) Accuracy 0.000 (0.000) -2023-07-25 20:41:27,215 Test: [100/199] Time 0.188 (0.241) Loss 0.0010 (0.0009) Accuracy 0.000 (0.000) -2023-07-25 20:41:47,312 Test: [198/199] Time 2.030 (0.224) Loss 0.0007 (0.0009) Accuracy 0.000 (0.000) -2023-07-25 20:41:49,208 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 20:41:57,784 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 20:41:57,819 The Predictions of Net 1 -2023-07-25 20:41:57,820 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 20:41:57,821 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 20:41:57,821 | 256x192_pose_dual_101_d256d256d256 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | -2023-07-25 20:41:58,476 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 20:42:03,180 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 20:42:03,215 The Predictions of Net 2 -2023-07-25 20:42:03,216 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 20:42:03,216 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 20:42:03,216 | 256x192_pose_dual_101_d256d256d256 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0001 | 0.0003 | 0.0000 | 0.0001 | 0.0000 | -2023-07-25 20:42:03,866 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 20:42:10,720 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 20:42:10,754 Ensemble Predictions -2023-07-25 20:42:10,754 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 20:42:10,755 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 20:42:10,755 | 256x192_pose_dual_101_d256d256d256 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0001 | 0.0003 | 0.0000 | 0.0001 | 0.0000 | -2023-07-25 20:42:10,756 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 20:42:19,234 Epoch: [1][0/631] Time 5.951s (5.951s) Speed 5.4 samples/s Data 4.032s (4.032s) Loss 0.000874 (0.000874) Accuracy 0.005 (0.005) loss_pose: 0.000870 loss_cons: 0.000004 -2023-07-25 20:44:49,601 Epoch: [1][100/631] Time 1.484s (1.548s) Speed 21.6 samples/s Data 0.000s (0.040s) Loss 0.000868 (0.000897) Accuracy 0.002 (0.001) loss_pose: 0.000863 loss_cons: 0.000005 -2023-07-25 20:47:19,423 Epoch: [1][200/631] Time 1.488s (1.523s) Speed 21.5 samples/s Data 0.000s (0.020s) Loss 0.001034 (0.000908) Accuracy 0.003 (0.001) loss_pose: 0.001028 loss_cons: 0.000006 -2023-07-25 20:49:50,867 Epoch: [1][300/631] Time 1.499s (1.520s) Speed 21.4 samples/s Data 0.000s (0.014s) Loss 0.000956 (0.000909) Accuracy 0.000 (0.001) loss_pose: 0.000950 loss_cons: 0.000006 -2023-07-25 20:52:23,401 Epoch: [1][400/631] Time 1.518s (1.521s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000816 (0.000909) Accuracy 0.000 (0.001) loss_pose: 0.000811 loss_cons: 0.000005 -2023-07-25 20:54:55,318 Epoch: [1][500/631] Time 1.569s (1.521s) Speed 20.4 samples/s Data 0.000s (0.008s) Loss 0.000830 (0.000908) Accuracy 0.014 (0.001) loss_pose: 0.000823 loss_cons: 0.000007 -2023-07-25 20:57:26,402 Epoch: [1][600/631] Time 1.482s (1.519s) Speed 21.6 samples/s Data 0.000s (0.007s) Loss 0.000894 (0.000909) Accuracy 0.003 (0.002) loss_pose: 0.000878 loss_cons: 0.000016 -2023-07-25 20:58:10,689 Epoch: [1][630/631] Time 1.482s (1.517s) Speed 21.6 samples/s Data 0.000s (0.007s) Loss 0.000948 (0.000908) Accuracy 0.022 (0.003) loss_pose: 0.000936 loss_cons: 0.000012 -2023-07-25 20:58:17,609 Test: [0/199] Time 4.808 (4.808) Loss 0.0009 (0.0009) Accuracy 0.021 (0.021) -2023-07-25 20:58:37,943 Test: [100/199] Time 0.209 (0.253) Loss 0.0010 (0.0009) Accuracy 0.024 (0.016) -2023-07-25 20:58:56,486 Test: [198/199] Time 0.144 (0.221) Loss 0.0007 (0.0009) Accuracy 0.020 (0.016) -2023-07-25 20:58:57,985 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 20:59:07,643 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 20:59:07,685 The Predictions of Net 1 -2023-07-25 20:59:07,686 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 20:59:07,686 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 20:59:07,687 | 256x192_pose_dual_101_d256d256d256 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0002 | 0.0006 | 0.0002 | 0.0003 | 0.0001 | -2023-07-25 20:59:08,346 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 20:59:13,015 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 20:59:13,048 The Predictions of Net 2 -2023-07-25 20:59:13,048 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 20:59:13,049 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 20:59:13,049 | 256x192_pose_dual_101_d256d256d256 | 0.0001 | 0.0001 | 0.0001 | 0.0002 | 0.0000 | 0.0003 | 0.0005 | 0.0002 | 0.0002 | 0.0003 | -2023-07-25 20:59:13,703 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 20:59:18,340 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 20:59:18,372 Ensemble Predictions -2023-07-25 20:59:18,373 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 20:59:18,373 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 20:59:18,373 | 256x192_pose_dual_101_d256d256d256 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0002 | 0.0005 | 0.0002 | 0.0002 | 0.0002 | -2023-07-25 20:59:18,374 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 20:59:27,925 Epoch: [2][0/631] Time 5.482s (5.482s) Speed 5.8 samples/s Data 3.843s (3.843s) Loss 0.000918 (0.000918) Accuracy 0.023 (0.023) loss_pose: 0.000906 loss_cons: 0.000012 -2023-07-25 21:02:01,636 Epoch: [2][100/631] Time 1.597s (1.576s) Speed 20.0 samples/s Data 0.000s (0.038s) Loss 0.000852 (0.000906) Accuracy 0.022 (0.022) loss_pose: 0.000840 loss_cons: 0.000011 -2023-07-25 21:04:36,691 Epoch: [2][200/631] Time 1.596s (1.563s) Speed 20.1 samples/s Data 0.000s (0.019s) Loss 0.000881 (0.000902) Accuracy 0.029 (0.025) loss_pose: 0.000873 loss_cons: 0.000008 -2023-07-25 21:07:13,122 Epoch: [2][300/631] Time 1.513s (1.564s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000937 (0.000900) Accuracy 0.069 (0.027) loss_pose: 0.000922 loss_cons: 0.000015 -2023-07-25 21:09:50,899 Epoch: [2][400/631] Time 1.616s (1.567s) Speed 19.8 samples/s Data 0.001s (0.010s) Loss 0.000905 (0.000899) Accuracy 0.055 (0.033) loss_pose: 0.000867 loss_cons: 0.000037 -2023-07-25 21:12:27,574 Epoch: [2][500/631] Time 1.622s (1.567s) Speed 19.7 samples/s Data 0.000s (0.008s) Loss 0.000866 (0.000902) Accuracy 0.099 (0.043) loss_pose: 0.000719 loss_cons: 0.000147 -2023-07-25 21:15:03,294 Epoch: [2][600/631] Time 1.547s (1.565s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.001021 (0.000915) Accuracy 0.128 (0.058) loss_pose: 0.000837 loss_cons: 0.000184 -2023-07-25 21:15:49,111 Epoch: [2][630/631] Time 1.535s (1.564s) Speed 20.8 samples/s Data 0.000s (0.006s) Loss 0.001060 (0.000920) Accuracy 0.176 (0.063) loss_pose: 0.000770 loss_cons: 0.000291 -2023-07-25 21:15:56,072 Test: [0/199] Time 5.013 (5.013) Loss 0.0008 (0.0008) Accuracy 0.176 (0.176) -2023-07-25 21:16:16,747 Test: [100/199] Time 0.202 (0.255) Loss 0.0009 (0.0008) Accuracy 0.180 (0.169) -2023-07-25 21:16:35,947 Test: [198/199] Time 0.200 (0.226) Loss 0.0007 (0.0008) Accuracy 0.068 (0.166) -2023-07-25 21:16:36,936 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 21:16:46,687 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:16:46,725 The Predictions of Net 1 -2023-07-25 21:16:46,726 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:16:46,726 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:16:46,727 | 256x192_pose_dual_101_d256d256d256 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0009 | 0.0020 | 0.0008 | 0.0009 | 0.0010 | -2023-07-25 21:16:47,409 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 21:16:52,192 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:16:52,227 The Predictions of Net 2 -2023-07-25 21:16:52,227 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:16:52,228 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:16:52,228 | 256x192_pose_dual_101_d256d256d256 | 0.0000 | 0.0002 | 0.0000 | 0.0001 | 0.0000 | 0.0009 | 0.0024 | 0.0006 | 0.0006 | 0.0014 | -2023-07-25 21:16:52,905 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 21:16:57,593 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:16:57,630 Ensemble Predictions -2023-07-25 21:16:57,631 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:16:57,631 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:16:57,631 | 256x192_pose_dual_101_d256d256d256 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0008 | 0.0020 | 0.0005 | 0.0004 | 0.0012 | -2023-07-25 21:16:57,632 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 21:17:06,280 Epoch: [3][0/631] Time 5.734s (5.734s) Speed 5.6 samples/s Data 4.043s (4.043s) Loss 0.000975 (0.000975) Accuracy 0.164 (0.164) loss_pose: 0.000745 loss_cons: 0.000230 -2023-07-25 21:19:42,157 Epoch: [3][100/631] Time 1.598s (1.600s) Speed 20.0 samples/s Data 0.000s (0.040s) Loss 0.000904 (0.000995) Accuracy 0.189 (0.182) loss_pose: 0.000725 loss_cons: 0.000179 -2023-07-25 21:22:17,694 Epoch: [3][200/631] Time 1.619s (1.578s) Speed 19.8 samples/s Data 0.000s (0.021s) Loss 0.001235 (0.000997) Accuracy 0.273 (0.203) loss_pose: 0.000784 loss_cons: 0.000451 -2023-07-25 21:24:53,112 Epoch: [3][300/631] Time 1.523s (1.570s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000884 (0.001002) Accuracy 0.274 (0.229) loss_pose: 0.000671 loss_cons: 0.000212 -2023-07-25 21:27:27,264 Epoch: [3][400/631] Time 1.520s (1.563s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.001012 (0.001008) Accuracy 0.383 (0.258) loss_pose: 0.000699 loss_cons: 0.000314 -2023-07-25 21:30:01,673 Epoch: [3][500/631] Time 1.524s (1.559s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.001008 (0.001014) Accuracy 0.464 (0.286) loss_pose: 0.000597 loss_cons: 0.000410 -2023-07-25 21:32:38,423 Epoch: [3][600/631] Time 1.517s (1.561s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.001106 (0.001023) Accuracy 0.484 (0.313) loss_pose: 0.000633 loss_cons: 0.000473 -2023-07-25 21:33:25,300 Epoch: [3][630/631] Time 1.614s (1.561s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.001201 (0.001026) Accuracy 0.503 (0.320) loss_pose: 0.000627 loss_cons: 0.000574 -2023-07-25 21:33:32,714 Test: [0/199] Time 5.313 (5.313) Loss 0.0006 (0.0006) Accuracy 0.544 (0.544) -2023-07-25 21:33:52,763 Test: [100/199] Time 0.198 (0.252) Loss 0.0006 (0.0006) Accuracy 0.530 (0.486) -2023-07-25 21:34:11,367 Test: [198/199] Time 0.144 (0.222) Loss 0.0005 (0.0006) Accuracy 0.362 (0.483) -2023-07-25 21:34:13,163 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 21:34:24,773 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:34:24,808 The Predictions of Net 1 -2023-07-25 21:34:24,808 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:34:24,809 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:34:24,810 | 256x192_pose_dual_101_d256d256d256 | 0.1424 | 0.5027 | 0.0244 | 0.1609 | 0.1338 | 0.2162 | 0.5902 | 0.1064 | 0.2104 | 0.2247 | -2023-07-25 21:34:25,488 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 21:34:30,192 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:34:30,224 The Predictions of Net 2 -2023-07-25 21:34:30,224 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:34:30,225 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:34:30,225 | 256x192_pose_dual_101_d256d256d256 | 0.1377 | 0.4773 | 0.0233 | 0.1529 | 0.1305 | 0.2106 | 0.5743 | 0.1030 | 0.2028 | 0.2221 | -2023-07-25 21:34:30,905 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 21:34:35,617 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:34:35,649 Ensemble Predictions -2023-07-25 21:34:35,650 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:34:35,651 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:34:35,651 | 256x192_pose_dual_101_d256d256d256 | 0.1493 | 0.5070 | 0.0294 | 0.1663 | 0.1415 | 0.2236 | 0.5986 | 0.1152 | 0.2169 | 0.2334 | -2023-07-25 21:34:35,652 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 21:34:45,828 Epoch: [4][0/631] Time 6.075s (6.075s) Speed 5.3 samples/s Data 4.356s (4.356s) Loss 0.001244 (0.001244) Accuracy 0.460 (0.460) loss_pose: 0.000621 loss_cons: 0.000623 -2023-07-25 21:37:20,420 Epoch: [4][100/631] Time 1.520s (1.591s) Speed 21.1 samples/s Data 0.000s (0.044s) Loss 0.000958 (0.001081) Accuracy 0.512 (0.491) loss_pose: 0.000535 loss_cons: 0.000422 -2023-07-25 21:39:55,715 Epoch: [4][200/631] Time 1.588s (1.572s) Speed 20.2 samples/s Data 0.000s (0.022s) Loss 0.001170 (0.001071) Accuracy 0.531 (0.505) loss_pose: 0.000509 loss_cons: 0.000661 -2023-07-25 21:42:31,726 Epoch: [4][300/631] Time 1.608s (1.568s) Speed 19.9 samples/s Data 0.000s (0.015s) Loss 0.001085 (0.001062) Accuracy 0.487 (0.518) loss_pose: 0.000593 loss_cons: 0.000492 -2023-07-25 21:45:08,221 Epoch: [4][400/631] Time 1.620s (1.567s) Speed 19.7 samples/s Data 0.000s (0.011s) Loss 0.001021 (0.001059) Accuracy 0.581 (0.529) loss_pose: 0.000505 loss_cons: 0.000515 -2023-07-25 21:47:43,630 Epoch: [4][500/631] Time 1.616s (1.565s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.001033 (0.001059) Accuracy 0.551 (0.537) loss_pose: 0.000544 loss_cons: 0.000489 -2023-07-25 21:50:18,930 Epoch: [4][600/631] Time 1.513s (1.563s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.001164 (0.001061) Accuracy 0.532 (0.547) loss_pose: 0.000570 loss_cons: 0.000594 -2023-07-25 21:51:05,148 Epoch: [4][630/631] Time 1.521s (1.562s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000885 (0.001061) Accuracy 0.631 (0.550) loss_pose: 0.000478 loss_cons: 0.000407 -2023-07-25 21:51:12,664 Test: [0/199] Time 5.351 (5.351) Loss 0.0005 (0.0005) Accuracy 0.701 (0.701) -2023-07-25 21:51:32,588 Test: [100/199] Time 0.197 (0.251) Loss 0.0005 (0.0005) Accuracy 0.669 (0.635) -2023-07-25 21:51:51,184 Test: [198/199] Time 0.134 (0.221) Loss 0.0004 (0.0005) Accuracy 0.580 (0.628) -2023-07-25 21:51:53,042 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 21:52:02,696 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:52:02,732 The Predictions of Net 1 -2023-07-25 21:52:02,733 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:52:02,733 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:52:02,733 | 256x192_pose_dual_101_d256d256d256 | 0.3236 | 0.7048 | 0.2462 | 0.3298 | 0.3241 | 0.3991 | 0.7459 | 0.3791 | 0.3829 | 0.4228 | -2023-07-25 21:52:03,420 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 21:52:10,264 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:52:10,301 The Predictions of Net 2 -2023-07-25 21:52:10,301 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:52:10,302 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:52:10,302 | 256x192_pose_dual_101_d256d256d256 | 0.3296 | 0.7213 | 0.2579 | 0.3301 | 0.3375 | 0.4015 | 0.7530 | 0.3804 | 0.3825 | 0.4290 | -2023-07-25 21:52:10,985 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 21:52:15,681 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 21:52:15,713 Ensemble Predictions -2023-07-25 21:52:15,714 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 21:52:15,714 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 21:52:15,714 | 256x192_pose_dual_101_d256d256d256 | 0.3432 | 0.7307 | 0.2784 | 0.3456 | 0.3470 | 0.4155 | 0.7624 | 0.4027 | 0.3972 | 0.4424 | -2023-07-25 21:52:15,715 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 21:52:24,739 Epoch: [5][0/631] Time 5.136s (5.136s) Speed 6.2 samples/s Data 3.455s (3.455s) Loss 0.000943 (0.000943) Accuracy 0.578 (0.578) loss_pose: 0.000505 loss_cons: 0.000438 -2023-07-25 21:55:01,237 Epoch: [5][100/631] Time 1.526s (1.600s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.001002 (0.001044) Accuracy 0.654 (0.623) loss_pose: 0.000458 loss_cons: 0.000544 -2023-07-25 21:57:35,964 Epoch: [5][200/631] Time 1.531s (1.574s) Speed 20.9 samples/s Data 0.000s (0.018s) Loss 0.001037 (0.001055) Accuracy 0.638 (0.628) loss_pose: 0.000437 loss_cons: 0.000600 -2023-07-25 22:00:11,176 Epoch: [5][300/631] Time 1.528s (1.567s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000992 (0.001056) Accuracy 0.614 (0.637) loss_pose: 0.000491 loss_cons: 0.000501 -2023-07-25 22:02:46,925 Epoch: [5][400/631] Time 1.553s (1.564s) Speed 20.6 samples/s Data 0.000s (0.009s) Loss 0.001140 (0.001068) Accuracy 0.632 (0.641) loss_pose: 0.000465 loss_cons: 0.000674 -2023-07-25 22:05:36,559 Epoch: [5][500/631] Time 1.525s (1.591s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.001176 (0.001070) Accuracy 0.699 (0.647) loss_pose: 0.000460 loss_cons: 0.000717 -2023-07-25 22:08:10,834 Epoch: [5][600/631] Time 1.511s (1.583s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000987 (0.001067) Accuracy 0.666 (0.652) loss_pose: 0.000443 loss_cons: 0.000543 -2023-07-25 22:08:56,615 Epoch: [5][630/631] Time 1.507s (1.580s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.001155 (0.001065) Accuracy 0.671 (0.654) loss_pose: 0.000497 loss_cons: 0.000657 -2023-07-25 22:09:04,415 Test: [0/199] Time 5.784 (5.784) Loss 0.0004 (0.0004) Accuracy 0.702 (0.702) -2023-07-25 22:09:23,911 Test: [100/199] Time 0.192 (0.251) Loss 0.0004 (0.0004) Accuracy 0.737 (0.686) -2023-07-25 22:09:42,460 Test: [198/199] Time 0.145 (0.221) Loss 0.0004 (0.0004) Accuracy 0.640 (0.679) -2023-07-25 22:09:43,978 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 22:09:53,255 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:09:53,292 The Predictions of Net 1 -2023-07-25 22:09:53,294 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:09:53,294 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:09:53,294 | 256x192_pose_dual_101_d256d256d256 | 0.4167 | 0.7615 | 0.4028 | 0.4094 | 0.4360 | 0.4686 | 0.7827 | 0.4798 | 0.4441 | 0.5043 | -2023-07-25 22:09:53,984 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 22:09:58,702 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:09:58,734 The Predictions of Net 2 -2023-07-25 22:09:58,735 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:09:58,736 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:09:58,736 | 256x192_pose_dual_101_d256d256d256 | 0.4143 | 0.7626 | 0.3982 | 0.4098 | 0.4308 | 0.4674 | 0.7883 | 0.4754 | 0.4450 | 0.4994 | -2023-07-25 22:09:59,419 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 22:10:06,330 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:10:06,365 Ensemble Predictions -2023-07-25 22:10:06,366 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:10:06,367 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:10:06,367 | 256x192_pose_dual_101_d256d256d256 | 0.4326 | 0.7816 | 0.4284 | 0.4245 | 0.4495 | 0.4845 | 0.8005 | 0.5003 | 0.4613 | 0.5182 | -2023-07-25 22:10:06,367 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 22:10:16,211 Epoch: [6][0/631] Time 5.503s (5.503s) Speed 5.8 samples/s Data 3.791s (3.791s) Loss 0.001021 (0.001021) Accuracy 0.674 (0.674) loss_pose: 0.000435 loss_cons: 0.000585 -2023-07-25 22:12:50,780 Epoch: [6][100/631] Time 1.599s (1.585s) Speed 20.0 samples/s Data 0.000s (0.038s) Loss 0.000977 (0.001047) Accuracy 0.615 (0.684) loss_pose: 0.000485 loss_cons: 0.000492 -2023-07-25 22:15:26,646 Epoch: [6][200/631] Time 1.519s (1.572s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000950 (0.001046) Accuracy 0.714 (0.682) loss_pose: 0.000408 loss_cons: 0.000542 -2023-07-25 22:18:02,276 Epoch: [6][300/631] Time 1.530s (1.567s) Speed 20.9 samples/s Data 0.000s (0.013s) Loss 0.001022 (0.001042) Accuracy 0.700 (0.687) loss_pose: 0.000419 loss_cons: 0.000604 -2023-07-25 22:20:37,761 Epoch: [6][400/631] Time 1.536s (1.564s) Speed 20.8 samples/s Data 0.000s (0.010s) Loss 0.000979 (0.001037) Accuracy 0.720 (0.692) loss_pose: 0.000355 loss_cons: 0.000625 -2023-07-25 22:23:13,634 Epoch: [6][500/631] Time 1.538s (1.563s) Speed 20.8 samples/s Data 0.000s (0.008s) Loss 0.001020 (0.001034) Accuracy 0.638 (0.695) loss_pose: 0.000418 loss_cons: 0.000603 -2023-07-25 22:25:47,823 Epoch: [6][600/631] Time 1.511s (1.559s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.001108 (0.001033) Accuracy 0.664 (0.697) loss_pose: 0.000424 loss_cons: 0.000684 -2023-07-25 22:26:33,385 Epoch: [6][630/631] Time 1.512s (1.557s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000970 (0.001033) Accuracy 0.787 (0.698) loss_pose: 0.000341 loss_cons: 0.000629 -2023-07-25 22:26:40,694 Test: [0/199] Time 5.219 (5.219) Loss 0.0004 (0.0004) Accuracy 0.757 (0.757) -2023-07-25 22:27:01,106 Test: [100/199] Time 0.198 (0.255) Loss 0.0004 (0.0004) Accuracy 0.782 (0.724) -2023-07-25 22:27:19,656 Test: [198/199] Time 0.132 (0.223) Loss 0.0004 (0.0004) Accuracy 0.676 (0.721) -2023-07-25 22:27:21,520 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 22:27:31,374 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:27:31,413 The Predictions of Net 1 -2023-07-25 22:27:31,414 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:27:31,415 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:27:31,415 | 256x192_pose_dual_101_d256d256d256 | 0.4836 | 0.8069 | 0.5059 | 0.4759 | 0.5053 | 0.5326 | 0.8254 | 0.5680 | 0.5078 | 0.5687 | -2023-07-25 22:27:32,111 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 22:27:36,847 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:27:36,878 The Predictions of Net 2 -2023-07-25 22:27:36,879 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:27:36,880 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:27:36,880 | 256x192_pose_dual_101_d256d256d256 | 0.4786 | 0.8087 | 0.4941 | 0.4683 | 0.5060 | 0.5281 | 0.8290 | 0.5587 | 0.5021 | 0.5656 | -2023-07-25 22:27:37,568 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 22:27:42,343 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:27:42,377 Ensemble Predictions -2023-07-25 22:27:42,378 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:27:42,378 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:27:42,378 | 256x192_pose_dual_101_d256d256d256 | 0.4979 | 0.8192 | 0.5254 | 0.4866 | 0.5242 | 0.5464 | 0.8380 | 0.5849 | 0.5200 | 0.5847 | -2023-07-25 22:27:42,379 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 22:27:51,843 Epoch: [7][0/631] Time 5.222s (5.222s) Speed 6.1 samples/s Data 3.498s (3.498s) Loss 0.001107 (0.001107) Accuracy 0.669 (0.669) loss_pose: 0.000459 loss_cons: 0.000648 -2023-07-25 22:30:26,407 Epoch: [7][100/631] Time 1.520s (1.582s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000859 (0.001005) Accuracy 0.770 (0.719) loss_pose: 0.000335 loss_cons: 0.000524 -2023-07-25 22:33:01,525 Epoch: [7][200/631] Time 1.535s (1.567s) Speed 20.8 samples/s Data 0.000s (0.018s) Loss 0.001121 (0.001013) Accuracy 0.683 (0.718) loss_pose: 0.000439 loss_cons: 0.000682 -2023-07-25 22:35:35,852 Epoch: [7][300/631] Time 1.523s (1.559s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000955 (0.001011) Accuracy 0.730 (0.717) loss_pose: 0.000379 loss_cons: 0.000576 -2023-07-25 22:38:11,466 Epoch: [7][400/631] Time 1.613s (1.558s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.001287 (0.001009) Accuracy 0.658 (0.720) loss_pose: 0.000441 loss_cons: 0.000846 -2023-07-25 22:40:45,674 Epoch: [7][500/631] Time 1.521s (1.555s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000892 (0.001006) Accuracy 0.727 (0.720) loss_pose: 0.000342 loss_cons: 0.000549 -2023-07-25 22:43:20,214 Epoch: [7][600/631] Time 1.515s (1.553s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.001162 (0.001004) Accuracy 0.776 (0.722) loss_pose: 0.000368 loss_cons: 0.000794 -2023-07-25 22:44:05,686 Epoch: [7][630/631] Time 1.513s (1.552s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000864 (0.001003) Accuracy 0.758 (0.722) loss_pose: 0.000358 loss_cons: 0.000506 -2023-07-25 22:44:11,749 Test: [0/199] Time 3.903 (3.903) Loss 0.0004 (0.0004) Accuracy 0.772 (0.772) -2023-07-25 22:44:33,146 Test: [100/199] Time 0.198 (0.254) Loss 0.0004 (0.0004) Accuracy 0.815 (0.735) -2023-07-25 22:44:51,866 Test: [198/199] Time 0.144 (0.223) Loss 0.0003 (0.0004) Accuracy 0.726 (0.732) -2023-07-25 22:44:53,934 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 22:45:05,754 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:45:05,796 The Predictions of Net 1 -2023-07-25 22:45:05,796 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:45:05,797 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:45:05,798 | 256x192_pose_dual_101_d256d256d256 | 0.4983 | 0.8076 | 0.5301 | 0.4828 | 0.5265 | 0.5426 | 0.8254 | 0.5838 | 0.5132 | 0.5848 | -2023-07-25 22:45:06,511 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 22:45:11,402 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:45:11,440 The Predictions of Net 2 -2023-07-25 22:45:11,441 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:45:11,442 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:45:11,442 | 256x192_pose_dual_101_d256d256d256 | 0.5121 | 0.8195 | 0.5451 | 0.4984 | 0.5395 | 0.5546 | 0.8378 | 0.5949 | 0.5264 | 0.5958 | -2023-07-25 22:45:12,128 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 22:45:16,942 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 22:45:16,979 Ensemble Predictions -2023-07-25 22:45:16,980 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 22:45:16,980 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 22:45:16,981 | 256x192_pose_dual_101_d256d256d256 | 0.5247 | 0.8302 | 0.5652 | 0.5107 | 0.5518 | 0.5681 | 0.8484 | 0.6157 | 0.5401 | 0.6090 | -2023-07-25 22:45:16,982 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 22:45:27,171 Epoch: [8][0/631] Time 6.122s (6.122s) Speed 5.2 samples/s Data 4.452s (4.452s) Loss 0.000975 (0.000975) Accuracy 0.775 (0.775) loss_pose: 0.000365 loss_cons: 0.000610 -2023-07-25 22:48:02,446 Epoch: [8][100/631] Time 1.621s (1.598s) Speed 19.7 samples/s Data 0.000s (0.044s) Loss 0.000967 (0.000979) Accuracy 0.771 (0.740) loss_pose: 0.000368 loss_cons: 0.000599 -2023-07-25 22:50:37,114 Epoch: [8][200/631] Time 1.525s (1.572s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.001044 (0.000987) Accuracy 0.730 (0.737) loss_pose: 0.000372 loss_cons: 0.000672 -2023-07-25 22:53:13,528 Epoch: [8][300/631] Time 1.519s (1.570s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000995 (0.000987) Accuracy 0.723 (0.738) loss_pose: 0.000389 loss_cons: 0.000607 -2023-07-25 22:55:48,253 Epoch: [8][400/631] Time 1.519s (1.564s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000961 (0.000984) Accuracy 0.798 (0.738) loss_pose: 0.000282 loss_cons: 0.000679 -2023-07-25 22:58:22,005 Epoch: [8][500/631] Time 1.519s (1.559s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000780 (0.000980) Accuracy 0.810 (0.740) loss_pose: 0.000321 loss_cons: 0.000459 -2023-07-25 23:00:56,812 Epoch: [8][600/631] Time 1.583s (1.557s) Speed 20.2 samples/s Data 0.000s (0.008s) Loss 0.001087 (0.000981) Accuracy 0.794 (0.740) loss_pose: 0.000334 loss_cons: 0.000753 -2023-07-25 23:01:43,172 Epoch: [8][630/631] Time 1.512s (1.556s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000928 (0.000979) Accuracy 0.792 (0.741) loss_pose: 0.000344 loss_cons: 0.000584 -2023-07-25 23:01:50,584 Test: [0/199] Time 5.504 (5.504) Loss 0.0004 (0.0004) Accuracy 0.756 (0.756) -2023-07-25 23:02:11,207 Test: [100/199] Time 0.198 (0.259) Loss 0.0004 (0.0004) Accuracy 0.826 (0.754) -2023-07-25 23:02:30,200 Test: [198/199] Time 0.222 (0.227) Loss 0.0003 (0.0004) Accuracy 0.721 (0.752) -2023-07-25 23:02:31,502 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 23:02:41,009 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:02:41,049 The Predictions of Net 1 -2023-07-25 23:02:41,049 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:02:41,050 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:02:41,050 | 256x192_pose_dual_101_d256d256d256 | 0.5275 | 0.8312 | 0.5628 | 0.5099 | 0.5592 | 0.5729 | 0.8487 | 0.6160 | 0.5423 | 0.6171 | -2023-07-25 23:02:41,741 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 23:02:48,846 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:02:48,887 The Predictions of Net 2 -2023-07-25 23:02:48,889 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:02:48,890 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:02:48,890 | 256x192_pose_dual_101_d256d256d256 | 0.5174 | 0.8291 | 0.5504 | 0.5006 | 0.5467 | 0.5624 | 0.8404 | 0.6039 | 0.5325 | 0.6061 | -2023-07-25 23:02:49,572 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 23:02:54,263 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:02:54,297 Ensemble Predictions -2023-07-25 23:02:54,298 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:02:54,298 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:02:54,298 | 256x192_pose_dual_101_d256d256d256 | 0.5401 | 0.8420 | 0.5846 | 0.5229 | 0.5700 | 0.5849 | 0.8553 | 0.6359 | 0.5549 | 0.6289 | -2023-07-25 23:02:54,299 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 23:03:04,345 Epoch: [9][0/631] Time 6.063s (6.063s) Speed 5.3 samples/s Data 4.357s (4.357s) Loss 0.001025 (0.001025) Accuracy 0.751 (0.751) loss_pose: 0.000347 loss_cons: 0.000678 -2023-07-25 23:05:41,820 Epoch: [9][100/631] Time 1.600s (1.619s) Speed 20.0 samples/s Data 0.000s (0.044s) Loss 0.001050 (0.000968) Accuracy 0.748 (0.750) loss_pose: 0.000392 loss_cons: 0.000658 -2023-07-25 23:08:18,464 Epoch: [9][200/631] Time 1.599s (1.593s) Speed 20.0 samples/s Data 0.000s (0.022s) Loss 0.000977 (0.000969) Accuracy 0.747 (0.750) loss_pose: 0.000343 loss_cons: 0.000635 -2023-07-25 23:10:54,873 Epoch: [9][300/631] Time 1.598s (1.583s) Speed 20.0 samples/s Data 0.000s (0.015s) Loss 0.001173 (0.000970) Accuracy 0.737 (0.752) loss_pose: 0.000348 loss_cons: 0.000824 -2023-07-25 23:13:30,495 Epoch: [9][400/631] Time 1.520s (1.577s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.001207 (0.000968) Accuracy 0.603 (0.751) loss_pose: 0.000416 loss_cons: 0.000791 -2023-07-25 23:16:04,938 Epoch: [9][500/631] Time 1.521s (1.570s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000887 (0.000968) Accuracy 0.748 (0.751) loss_pose: 0.000361 loss_cons: 0.000526 -2023-07-25 23:18:39,755 Epoch: [9][600/631] Time 1.513s (1.567s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000974 (0.000967) Accuracy 0.763 (0.751) loss_pose: 0.000344 loss_cons: 0.000630 -2023-07-25 23:19:25,151 Epoch: [9][630/631] Time 1.504s (1.564s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000966 (0.000967) Accuracy 0.699 (0.751) loss_pose: 0.000372 loss_cons: 0.000594 -2023-07-25 23:19:32,714 Test: [0/199] Time 5.265 (5.265) Loss 0.0003 (0.0003) Accuracy 0.788 (0.788) -2023-07-25 23:19:53,095 Test: [100/199] Time 0.198 (0.255) Loss 0.0003 (0.0003) Accuracy 0.817 (0.761) -2023-07-25 23:20:11,924 Test: [198/199] Time 0.265 (0.224) Loss 0.0003 (0.0003) Accuracy 0.811 (0.760) -2023-07-25 23:20:13,134 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 23:20:22,002 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:20:22,044 The Predictions of Net 1 -2023-07-25 23:20:22,045 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:20:22,046 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:20:22,046 | 256x192_pose_dual_101_d256d256d256 | 0.5432 | 0.8401 | 0.5875 | 0.5278 | 0.5683 | 0.5851 | 0.8542 | 0.6378 | 0.5574 | 0.6256 | -2023-07-25 23:20:22,740 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 23:20:27,426 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:20:27,459 The Predictions of Net 2 -2023-07-25 23:20:27,460 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:20:27,460 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:20:27,460 | 256x192_pose_dual_101_d256d256d256 | 0.5293 | 0.8390 | 0.5735 | 0.5166 | 0.5534 | 0.5719 | 0.8525 | 0.6225 | 0.5464 | 0.6094 | -2023-07-25 23:20:28,152 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 23:20:34,909 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:20:34,944 Ensemble Predictions -2023-07-25 23:20:34,945 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:20:34,945 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:20:34,946 | 256x192_pose_dual_101_d256d256d256 | 0.5536 | 0.8504 | 0.6069 | 0.5395 | 0.5771 | 0.5958 | 0.8651 | 0.6526 | 0.5706 | 0.6327 | -2023-07-25 23:20:34,946 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 23:20:44,577 Epoch: [10][0/631] Time 5.629s (5.629s) Speed 5.7 samples/s Data 3.943s (3.943s) Loss 0.000961 (0.000961) Accuracy 0.798 (0.798) loss_pose: 0.000310 loss_cons: 0.000651 -2023-07-25 23:23:19,670 Epoch: [10][100/631] Time 1.528s (1.591s) Speed 20.9 samples/s Data 0.000s (0.039s) Loss 0.000957 (0.000947) Accuracy 0.760 (0.752) loss_pose: 0.000331 loss_cons: 0.000626 -2023-07-25 23:25:55,579 Epoch: [10][200/631] Time 1.538s (1.575s) Speed 20.8 samples/s Data 0.000s (0.020s) Loss 0.000942 (0.000944) Accuracy 0.812 (0.758) loss_pose: 0.000294 loss_cons: 0.000648 -2023-07-25 23:28:31,295 Epoch: [10][300/631] Time 1.593s (1.569s) Speed 20.1 samples/s Data 0.000s (0.013s) Loss 0.000951 (0.000951) Accuracy 0.735 (0.759) loss_pose: 0.000394 loss_cons: 0.000557 -2023-07-25 23:31:06,180 Epoch: [10][400/631] Time 1.540s (1.564s) Speed 20.8 samples/s Data 0.000s (0.010s) Loss 0.000865 (0.000949) Accuracy 0.832 (0.763) loss_pose: 0.000315 loss_cons: 0.000550 -2023-07-25 23:33:41,443 Epoch: [10][500/631] Time 1.532s (1.562s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000910 (0.000948) Accuracy 0.784 (0.763) loss_pose: 0.000320 loss_cons: 0.000589 -2023-07-25 23:36:14,641 Epoch: [10][600/631] Time 1.516s (1.557s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000936 (0.000946) Accuracy 0.826 (0.764) loss_pose: 0.000314 loss_cons: 0.000622 -2023-07-25 23:37:00,120 Epoch: [10][630/631] Time 1.514s (1.555s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.001081 (0.000946) Accuracy 0.731 (0.763) loss_pose: 0.000365 loss_cons: 0.000716 -2023-07-25 23:37:06,883 Test: [0/199] Time 4.688 (4.688) Loss 0.0003 (0.0003) Accuracy 0.806 (0.806) -2023-07-25 23:37:26,928 Test: [100/199] Time 0.193 (0.247) Loss 0.0003 (0.0003) Accuracy 0.794 (0.771) -2023-07-25 23:37:45,518 Test: [198/199] Time 0.133 (0.219) Loss 0.0003 (0.0003) Accuracy 0.766 (0.768) -2023-07-25 23:37:46,681 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 23:37:56,210 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:37:56,247 The Predictions of Net 1 -2023-07-25 23:37:56,248 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:37:56,248 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:37:56,248 | 256x192_pose_dual_101_d256d256d256 | 0.5665 | 0.8522 | 0.6263 | 0.5468 | 0.6011 | 0.6042 | 0.8657 | 0.6620 | 0.5721 | 0.6515 | -2023-07-25 23:37:57,010 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 23:38:01,788 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:38:01,824 The Predictions of Net 2 -2023-07-25 23:38:01,825 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:38:01,826 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:38:01,826 | 256x192_pose_dual_101_d256d256d256 | 0.5628 | 0.8515 | 0.6135 | 0.5491 | 0.5888 | 0.6031 | 0.8626 | 0.6596 | 0.5761 | 0.6426 | -2023-07-25 23:38:02,514 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 23:38:07,261 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:38:07,294 Ensemble Predictions -2023-07-25 23:38:07,294 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:38:07,295 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:38:07,295 | 256x192_pose_dual_101_d256d256d256 | 0.5851 | 0.8636 | 0.6463 | 0.5670 | 0.6131 | 0.6235 | 0.8772 | 0.6861 | 0.5946 | 0.6660 | -2023-07-25 23:38:07,296 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 23:38:17,053 Epoch: [11][0/631] Time 5.470s (5.470s) Speed 5.8 samples/s Data 3.798s (3.798s) Loss 0.000846 (0.000846) Accuracy 0.769 (0.769) loss_pose: 0.000321 loss_cons: 0.000526 -2023-07-25 23:40:54,600 Epoch: [11][100/631] Time 1.528s (1.614s) Speed 20.9 samples/s Data 0.000s (0.038s) Loss 0.000758 (0.000918) Accuracy 0.772 (0.768) loss_pose: 0.000314 loss_cons: 0.000444 -2023-07-25 23:43:28,316 Epoch: [11][200/631] Time 1.604s (1.576s) Speed 20.0 samples/s Data 0.000s (0.019s) Loss 0.001041 (0.000925) Accuracy 0.793 (0.770) loss_pose: 0.000338 loss_cons: 0.000703 -2023-07-25 23:46:03,421 Epoch: [11][300/631] Time 1.535s (1.568s) Speed 20.8 samples/s Data 0.000s (0.013s) Loss 0.000892 (0.000928) Accuracy 0.781 (0.771) loss_pose: 0.000341 loss_cons: 0.000551 -2023-07-25 23:48:38,353 Epoch: [11][400/631] Time 1.591s (1.563s) Speed 20.1 samples/s Data 0.000s (0.010s) Loss 0.000921 (0.000930) Accuracy 0.721 (0.772) loss_pose: 0.000352 loss_cons: 0.000569 -2023-07-25 23:51:13,335 Epoch: [11][500/631] Time 1.598s (1.560s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000903 (0.000928) Accuracy 0.701 (0.771) loss_pose: 0.000385 loss_cons: 0.000518 -2023-07-25 23:53:46,145 Epoch: [11][600/631] Time 1.512s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.001023 (0.000926) Accuracy 0.735 (0.772) loss_pose: 0.000369 loss_cons: 0.000654 -2023-07-25 23:54:31,508 Epoch: [11][630/631] Time 1.512s (1.553s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000847 (0.000926) Accuracy 0.821 (0.772) loss_pose: 0.000286 loss_cons: 0.000561 -2023-07-25 23:54:38,018 Test: [0/199] Time 3.867 (3.867) Loss 0.0003 (0.0003) Accuracy 0.808 (0.808) -2023-07-25 23:54:58,530 Test: [100/199] Time 0.197 (0.248) Loss 0.0003 (0.0004) Accuracy 0.833 (0.772) -2023-07-25 23:55:17,080 Test: [198/199] Time 0.137 (0.219) Loss 0.0003 (0.0004) Accuracy 0.785 (0.771) -2023-07-25 23:55:20,844 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-25 23:55:29,873 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:55:29,905 The Predictions of Net 1 -2023-07-25 23:55:29,906 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:55:29,907 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:55:29,907 | 256x192_pose_dual_101_d256d256d256 | 0.5668 | 0.8514 | 0.6247 | 0.5530 | 0.5948 | 0.6063 | 0.8663 | 0.6628 | 0.5785 | 0.6475 | -2023-07-25 23:55:30,594 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-25 23:55:35,335 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:55:35,368 The Predictions of Net 2 -2023-07-25 23:55:35,369 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:55:35,369 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:55:35,369 | 256x192_pose_dual_101_d256d256d256 | 0.5659 | 0.8513 | 0.6225 | 0.5493 | 0.5934 | 0.6075 | 0.8693 | 0.6642 | 0.5791 | 0.6492 | -2023-07-25 23:55:36,057 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-25 23:55:40,801 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-25 23:55:40,835 Ensemble Predictions -2023-07-25 23:55:40,836 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-25 23:55:40,836 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-25 23:55:40,836 | 256x192_pose_dual_101_d256d256d256 | 0.5857 | 0.8624 | 0.6467 | 0.5701 | 0.6147 | 0.6248 | 0.8772 | 0.6875 | 0.5975 | 0.6653 | -2023-07-25 23:55:40,837 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-25 23:55:49,635 Epoch: [12][0/631] Time 4.838s (4.838s) Speed 6.6 samples/s Data 3.043s (3.043s) Loss 0.000929 (0.000929) Accuracy 0.794 (0.794) loss_pose: 0.000301 loss_cons: 0.000628 -2023-07-25 23:58:24,565 Epoch: [12][100/631] Time 1.630s (1.582s) Speed 19.6 samples/s Data 0.000s (0.031s) Loss 0.000894 (0.000925) Accuracy 0.794 (0.782) loss_pose: 0.000359 loss_cons: 0.000535 -2023-07-26 00:01:00,570 Epoch: [12][200/631] Time 1.604s (1.571s) Speed 19.9 samples/s Data 0.000s (0.016s) Loss 0.000948 (0.000929) Accuracy 0.752 (0.780) loss_pose: 0.000294 loss_cons: 0.000654 -2023-07-26 00:03:35,729 Epoch: [12][300/631] Time 1.532s (1.565s) Speed 20.9 samples/s Data 0.000s (0.010s) Loss 0.000893 (0.000926) Accuracy 0.795 (0.778) loss_pose: 0.000314 loss_cons: 0.000579 -2023-07-26 00:06:11,410 Epoch: [12][400/631] Time 1.523s (1.563s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000896 (0.000923) Accuracy 0.824 (0.779) loss_pose: 0.000282 loss_cons: 0.000615 -2023-07-26 00:08:44,541 Epoch: [12][500/631] Time 1.521s (1.556s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000784 (0.000919) Accuracy 0.804 (0.779) loss_pose: 0.000300 loss_cons: 0.000484 -2023-07-26 00:11:18,386 Epoch: [12][600/631] Time 1.510s (1.553s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.001049 (0.000919) Accuracy 0.772 (0.779) loss_pose: 0.000337 loss_cons: 0.000712 -2023-07-26 00:12:03,848 Epoch: [12][630/631] Time 1.510s (1.552s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000897 (0.000919) Accuracy 0.787 (0.779) loss_pose: 0.000329 loss_cons: 0.000569 -2023-07-26 00:12:11,647 Test: [0/199] Time 5.940 (5.940) Loss 0.0003 (0.0003) Accuracy 0.805 (0.805) -2023-07-26 00:12:31,528 Test: [100/199] Time 0.200 (0.256) Loss 0.0003 (0.0003) Accuracy 0.839 (0.783) -2023-07-26 00:12:50,217 Test: [198/199] Time 0.137 (0.224) Loss 0.0003 (0.0003) Accuracy 0.792 (0.782) -2023-07-26 00:12:52,217 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 00:13:02,163 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:13:02,203 The Predictions of Net 1 -2023-07-26 00:13:02,204 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:13:02,204 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:13:02,204 | 256x192_pose_dual_101_d256d256d256 | 0.5842 | 0.8634 | 0.6437 | 0.5652 | 0.6183 | 0.6241 | 0.8763 | 0.6829 | 0.5939 | 0.6689 | -2023-07-26 00:13:04,976 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 00:13:09,813 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:13:09,850 The Predictions of Net 2 -2023-07-26 00:13:09,851 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:13:09,851 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:13:09,851 | 256x192_pose_dual_101_d256d256d256 | 0.5807 | 0.8609 | 0.6346 | 0.5628 | 0.6113 | 0.6219 | 0.8739 | 0.6755 | 0.5913 | 0.6667 | -2023-07-26 00:13:10,543 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 00:13:15,297 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:13:15,331 Ensemble Predictions -2023-07-26 00:13:15,332 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:13:15,332 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:13:15,332 | 256x192_pose_dual_101_d256d256d256 | 0.6013 | 0.8734 | 0.6682 | 0.5820 | 0.6343 | 0.6414 | 0.8863 | 0.7043 | 0.6114 | 0.6856 | -2023-07-26 00:13:15,334 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 00:13:24,244 Epoch: [13][0/631] Time 4.910s (4.910s) Speed 6.5 samples/s Data 3.175s (3.175s) Loss 0.000951 (0.000951) Accuracy 0.749 (0.749) loss_pose: 0.000296 loss_cons: 0.000654 -2023-07-26 00:15:59,216 Epoch: [13][100/631] Time 1.517s (1.583s) Speed 21.1 samples/s Data 0.000s (0.032s) Loss 0.000723 (0.000923) Accuracy 0.807 (0.778) loss_pose: 0.000333 loss_cons: 0.000390 -2023-07-26 00:18:33,027 Epoch: [13][200/631] Time 1.547s (1.561s) Speed 20.7 samples/s Data 0.000s (0.016s) Loss 0.000805 (0.000910) Accuracy 0.769 (0.778) loss_pose: 0.000306 loss_cons: 0.000499 -2023-07-26 00:21:07,293 Epoch: [13][300/631] Time 1.516s (1.555s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000986 (0.000910) Accuracy 0.765 (0.781) loss_pose: 0.000324 loss_cons: 0.000662 -2023-07-26 00:23:41,226 Epoch: [13][400/631] Time 1.515s (1.551s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000901 (0.000909) Accuracy 0.771 (0.781) loss_pose: 0.000260 loss_cons: 0.000640 -2023-07-26 00:26:17,175 Epoch: [13][500/631] Time 1.535s (1.553s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000854 (0.000905) Accuracy 0.794 (0.781) loss_pose: 0.000360 loss_cons: 0.000494 -2023-07-26 00:28:50,725 Epoch: [13][600/631] Time 1.597s (1.550s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000945 (0.000906) Accuracy 0.814 (0.781) loss_pose: 0.000353 loss_cons: 0.000592 -2023-07-26 00:29:38,935 Epoch: [13][630/631] Time 1.602s (1.552s) Speed 20.0 samples/s Data 0.000s (0.005s) Loss 0.000839 (0.000905) Accuracy 0.778 (0.781) loss_pose: 0.000319 loss_cons: 0.000520 -2023-07-26 00:29:46,084 Test: [0/199] Time 5.066 (5.066) Loss 0.0003 (0.0003) Accuracy 0.817 (0.817) -2023-07-26 00:30:06,055 Test: [100/199] Time 0.201 (0.249) Loss 0.0003 (0.0003) Accuracy 0.850 (0.785) -2023-07-26 00:30:24,672 Test: [198/199] Time 0.135 (0.220) Loss 0.0003 (0.0003) Accuracy 0.768 (0.785) -2023-07-26 00:30:25,918 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 00:30:34,630 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:30:34,675 The Predictions of Net 1 -2023-07-26 00:30:34,677 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:30:34,678 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:30:34,678 | 256x192_pose_dual_101_d256d256d256 | 0.5933 | 0.8630 | 0.6599 | 0.5733 | 0.6263 | 0.6315 | 0.8786 | 0.6951 | 0.6006 | 0.6769 | -2023-07-26 00:30:35,380 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 00:30:42,251 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:30:42,291 The Predictions of Net 2 -2023-07-26 00:30:42,292 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:30:42,293 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:30:42,293 | 256x192_pose_dual_101_d256d256d256 | 0.5916 | 0.8723 | 0.6487 | 0.5746 | 0.6226 | 0.6312 | 0.8818 | 0.6895 | 0.6018 | 0.6748 | -2023-07-26 00:30:42,980 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 00:30:47,653 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:30:47,686 Ensemble Predictions -2023-07-26 00:30:47,687 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:30:47,687 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:30:47,688 | 256x192_pose_dual_101_d256d256d256 | 0.6076 | 0.8734 | 0.6702 | 0.5893 | 0.6409 | 0.6467 | 0.8884 | 0.7095 | 0.6166 | 0.6911 | -2023-07-26 00:30:47,688 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 00:30:56,646 Epoch: [14][0/631] Time 4.946s (4.946s) Speed 6.5 samples/s Data 3.236s (3.236s) Loss 0.000910 (0.000910) Accuracy 0.791 (0.791) loss_pose: 0.000290 loss_cons: 0.000619 -2023-07-26 00:33:31,472 Epoch: [14][100/631] Time 1.522s (1.582s) Speed 21.0 samples/s Data 0.000s (0.032s) Loss 0.000779 (0.000890) Accuracy 0.748 (0.792) loss_pose: 0.000334 loss_cons: 0.000445 -2023-07-26 00:36:05,982 Epoch: [14][200/631] Time 1.519s (1.564s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000851 (0.000886) Accuracy 0.787 (0.792) loss_pose: 0.000297 loss_cons: 0.000554 -2023-07-26 00:38:40,091 Epoch: [14][300/631] Time 1.590s (1.556s) Speed 20.1 samples/s Data 0.000s (0.011s) Loss 0.000852 (0.000885) Accuracy 0.818 (0.791) loss_pose: 0.000274 loss_cons: 0.000578 -2023-07-26 00:41:23,005 Epoch: [14][400/631] Time 4.298s (1.574s) Speed 7.4 samples/s Data 0.000s (0.008s) Loss 0.001042 (0.000888) Accuracy 0.742 (0.791) loss_pose: 0.000367 loss_cons: 0.000675 -2023-07-26 00:44:06,507 Epoch: [14][500/631] Time 1.515s (1.586s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000788 (0.000888) Accuracy 0.768 (0.791) loss_pose: 0.000346 loss_cons: 0.000442 -2023-07-26 00:46:39,339 Epoch: [14][600/631] Time 1.517s (1.577s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000853 (0.000889) Accuracy 0.805 (0.791) loss_pose: 0.000269 loss_cons: 0.000584 -2023-07-26 00:47:24,811 Epoch: [14][630/631] Time 1.507s (1.574s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000913 (0.000888) Accuracy 0.853 (0.792) loss_pose: 0.000288 loss_cons: 0.000625 -2023-07-26 00:47:32,759 Test: [0/199] Time 5.971 (5.971) Loss 0.0003 (0.0003) Accuracy 0.838 (0.838) -2023-07-26 00:47:52,438 Test: [100/199] Time 0.205 (0.254) Loss 0.0003 (0.0003) Accuracy 0.847 (0.794) -2023-07-26 00:48:11,396 Test: [198/199] Time 0.251 (0.224) Loss 0.0002 (0.0003) Accuracy 0.813 (0.795) -2023-07-26 00:48:13,089 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 00:48:22,539 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:48:22,576 The Predictions of Net 1 -2023-07-26 00:48:22,576 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:48:22,577 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:48:22,578 | 256x192_pose_dual_101_d256d256d256 | 0.6006 | 0.8737 | 0.6668 | 0.5835 | 0.6313 | 0.6425 | 0.8857 | 0.7069 | 0.6149 | 0.6840 | -2023-07-26 00:48:23,275 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 00:48:28,054 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:48:28,091 The Predictions of Net 2 -2023-07-26 00:48:28,091 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:48:28,092 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:48:28,092 | 256x192_pose_dual_101_d256d256d256 | 0.5803 | 0.8615 | 0.6409 | 0.5642 | 0.6106 | 0.6231 | 0.8758 | 0.6832 | 0.5953 | 0.6647 | -2023-07-26 00:48:28,780 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 00:48:33,582 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 00:48:33,617 Ensemble Predictions -2023-07-26 00:48:33,617 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 00:48:33,618 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 00:48:33,618 | 256x192_pose_dual_101_d256d256d256 | 0.6094 | 0.8820 | 0.6761 | 0.5943 | 0.6390 | 0.6505 | 0.8903 | 0.7151 | 0.6242 | 0.6903 | -2023-07-26 00:48:33,619 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 00:48:42,390 Epoch: [15][0/631] Time 5.800s (5.800s) Speed 5.5 samples/s Data 4.086s (4.086s) Loss 0.000920 (0.000920) Accuracy 0.804 (0.804) loss_pose: 0.000285 loss_cons: 0.000635 -2023-07-26 00:51:19,336 Epoch: [15][100/631] Time 1.528s (1.611s) Speed 20.9 samples/s Data 0.000s (0.041s) Loss 0.000807 (0.000885) Accuracy 0.835 (0.795) loss_pose: 0.000264 loss_cons: 0.000543 -2023-07-26 00:53:53,300 Epoch: [15][200/631] Time 1.585s (1.576s) Speed 20.2 samples/s Data 0.000s (0.021s) Loss 0.000883 (0.000888) Accuracy 0.800 (0.793) loss_pose: 0.000313 loss_cons: 0.000569 -2023-07-26 00:56:28,290 Epoch: [15][300/631] Time 1.610s (1.567s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000995 (0.000887) Accuracy 0.735 (0.794) loss_pose: 0.000337 loss_cons: 0.000657 -2023-07-26 00:59:03,585 Epoch: [15][400/631] Time 1.519s (1.564s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000895 (0.000883) Accuracy 0.841 (0.794) loss_pose: 0.000291 loss_cons: 0.000604 -2023-07-26 01:01:38,089 Epoch: [15][500/631] Time 1.530s (1.560s) Speed 20.9 samples/s Data 0.001s (0.009s) Loss 0.000803 (0.000883) Accuracy 0.786 (0.793) loss_pose: 0.000287 loss_cons: 0.000517 -2023-07-26 01:04:12,642 Epoch: [15][600/631] Time 1.524s (1.557s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000952 (0.000882) Accuracy 0.736 (0.793) loss_pose: 0.000397 loss_cons: 0.000556 -2023-07-26 01:04:58,044 Epoch: [15][630/631] Time 1.510s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000820 (0.000881) Accuracy 0.848 (0.794) loss_pose: 0.000276 loss_cons: 0.000544 -2023-07-26 01:05:05,532 Test: [0/199] Time 5.185 (5.185) Loss 0.0003 (0.0003) Accuracy 0.810 (0.810) -2023-07-26 01:05:25,968 Test: [100/199] Time 0.206 (0.255) Loss 0.0003 (0.0003) Accuracy 0.839 (0.797) -2023-07-26 01:05:44,660 Test: [198/199] Time 0.144 (0.223) Loss 0.0002 (0.0003) Accuracy 0.823 (0.796) -2023-07-26 01:05:46,334 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 01:05:55,303 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:05:55,338 The Predictions of Net 1 -2023-07-26 01:05:55,339 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:05:55,339 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:05:55,339 | 256x192_pose_dual_101_d256d256d256 | 0.6092 | 0.8739 | 0.6803 | 0.5924 | 0.6410 | 0.6466 | 0.8878 | 0.7103 | 0.6172 | 0.6901 | -2023-07-26 01:05:56,030 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 01:06:00,785 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:06:00,821 The Predictions of Net 2 -2023-07-26 01:06:00,822 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:06:00,822 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:06:00,822 | 256x192_pose_dual_101_d256d256d256 | 0.6027 | 0.8731 | 0.6726 | 0.5869 | 0.6345 | 0.6419 | 0.8859 | 0.7086 | 0.6130 | 0.6852 | -2023-07-26 01:06:01,505 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 01:06:06,229 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:06:06,263 Ensemble Predictions -2023-07-26 01:06:06,264 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:06:06,264 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:06:06,264 | 256x192_pose_dual_101_d256d256d256 | 0.6224 | 0.8840 | 0.6935 | 0.6024 | 0.6533 | 0.6579 | 0.8936 | 0.7220 | 0.6289 | 0.7015 | -2023-07-26 01:06:06,265 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 01:06:15,477 Epoch: [16][0/631] Time 5.134s (5.134s) Speed 6.2 samples/s Data 3.422s (3.422s) Loss 0.000816 (0.000816) Accuracy 0.804 (0.804) loss_pose: 0.000303 loss_cons: 0.000513 -2023-07-26 01:08:51,161 Epoch: [16][100/631] Time 1.520s (1.592s) Speed 21.1 samples/s Data 0.000s (0.034s) Loss 0.000829 (0.000849) Accuracy 0.764 (0.800) loss_pose: 0.000291 loss_cons: 0.000538 -2023-07-26 01:11:27,179 Epoch: [16][200/631] Time 1.602s (1.576s) Speed 20.0 samples/s Data 0.001s (0.017s) Loss 0.000772 (0.000864) Accuracy 0.780 (0.799) loss_pose: 0.000291 loss_cons: 0.000480 -2023-07-26 01:14:02,931 Epoch: [16][300/631] Time 1.619s (1.570s) Speed 19.8 samples/s Data 0.000s (0.012s) Loss 0.000810 (0.000866) Accuracy 0.782 (0.799) loss_pose: 0.000268 loss_cons: 0.000542 -2023-07-26 01:16:37,931 Epoch: [16][400/631] Time 1.522s (1.565s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000964 (0.000864) Accuracy 0.782 (0.799) loss_pose: 0.000309 loss_cons: 0.000655 -2023-07-26 01:19:12,288 Epoch: [16][500/631] Time 1.519s (1.561s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000854 (0.000862) Accuracy 0.805 (0.798) loss_pose: 0.000273 loss_cons: 0.000581 -2023-07-26 01:21:45,508 Epoch: [16][600/631] Time 1.507s (1.556s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000754 (0.000861) Accuracy 0.817 (0.798) loss_pose: 0.000277 loss_cons: 0.000477 -2023-07-26 01:22:31,007 Epoch: [16][630/631] Time 1.547s (1.554s) Speed 20.7 samples/s Data 0.000s (0.006s) Loss 0.000808 (0.000863) Accuracy 0.759 (0.798) loss_pose: 0.000319 loss_cons: 0.000489 -2023-07-26 01:22:38,685 Test: [0/199] Time 5.548 (5.548) Loss 0.0003 (0.0003) Accuracy 0.824 (0.824) -2023-07-26 01:22:58,598 Test: [100/199] Time 0.211 (0.253) Loss 0.0003 (0.0003) Accuracy 0.844 (0.802) -2023-07-26 01:23:17,132 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0003) Accuracy 0.832 (0.801) -2023-07-26 01:23:19,109 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 01:23:30,270 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:23:30,307 The Predictions of Net 1 -2023-07-26 01:23:30,308 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:23:30,308 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:23:30,308 | 256x192_pose_dual_101_d256d256d256 | 0.6130 | 0.8733 | 0.6886 | 0.5968 | 0.6471 | 0.6531 | 0.8878 | 0.7220 | 0.6238 | 0.6971 | -2023-07-26 01:23:30,994 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 01:23:35,818 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:23:35,850 The Predictions of Net 2 -2023-07-26 01:23:35,851 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:23:35,851 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:23:35,851 | 256x192_pose_dual_101_d256d256d256 | 0.6117 | 0.8729 | 0.6793 | 0.5929 | 0.6433 | 0.6498 | 0.8868 | 0.7146 | 0.6203 | 0.6936 | -2023-07-26 01:23:36,541 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 01:23:41,269 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:23:41,310 Ensemble Predictions -2023-07-26 01:23:41,311 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:23:41,311 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:23:41,311 | 256x192_pose_dual_101_d256d256d256 | 0.6279 | 0.8834 | 0.7020 | 0.6069 | 0.6613 | 0.6654 | 0.8948 | 0.7324 | 0.6360 | 0.7095 | -2023-07-26 01:23:41,312 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 01:23:51,337 Epoch: [17][0/631] Time 6.009s (6.009s) Speed 5.3 samples/s Data 4.234s (4.234s) Loss 0.001008 (0.001008) Accuracy 0.809 (0.809) loss_pose: 0.000322 loss_cons: 0.000686 -2023-07-26 01:26:27,437 Epoch: [17][100/631] Time 1.605s (1.605s) Speed 19.9 samples/s Data 0.000s (0.042s) Loss 0.000836 (0.000840) Accuracy 0.766 (0.800) loss_pose: 0.000376 loss_cons: 0.000460 -2023-07-26 01:29:03,109 Epoch: [17][200/631] Time 1.515s (1.581s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000997 (0.000850) Accuracy 0.779 (0.797) loss_pose: 0.000370 loss_cons: 0.000627 -2023-07-26 01:31:36,269 Epoch: [17][300/631] Time 1.528s (1.565s) Speed 20.9 samples/s Data 0.000s (0.014s) Loss 0.000783 (0.000850) Accuracy 0.805 (0.798) loss_pose: 0.000266 loss_cons: 0.000517 -2023-07-26 01:34:10,098 Epoch: [17][400/631] Time 1.534s (1.558s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000829 (0.000849) Accuracy 0.832 (0.799) loss_pose: 0.000283 loss_cons: 0.000546 -2023-07-26 01:36:43,739 Epoch: [17][500/631] Time 1.521s (1.554s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000729 (0.000848) Accuracy 0.791 (0.801) loss_pose: 0.000289 loss_cons: 0.000440 -2023-07-26 01:39:17,576 Epoch: [17][600/631] Time 1.517s (1.551s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000854 (0.000848) Accuracy 0.770 (0.801) loss_pose: 0.000365 loss_cons: 0.000490 -2023-07-26 01:40:03,156 Epoch: [17][630/631] Time 1.520s (1.550s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000896 (0.000848) Accuracy 0.757 (0.801) loss_pose: 0.000330 loss_cons: 0.000565 -2023-07-26 01:40:10,880 Test: [0/199] Time 5.849 (5.849) Loss 0.0003 (0.0003) Accuracy 0.838 (0.838) -2023-07-26 01:40:30,540 Test: [100/199] Time 0.209 (0.253) Loss 0.0003 (0.0003) Accuracy 0.870 (0.807) -2023-07-26 01:40:49,054 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0003) Accuracy 0.812 (0.806) -2023-07-26 01:40:50,507 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 01:41:00,365 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:41:00,409 The Predictions of Net 1 -2023-07-26 01:41:00,410 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:41:00,411 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:41:00,411 | 256x192_pose_dual_101_d256d256d256 | 0.6211 | 0.8827 | 0.6905 | 0.6031 | 0.6534 | 0.6612 | 0.8958 | 0.7270 | 0.6323 | 0.7042 | -2023-07-26 01:41:01,133 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 01:41:07,999 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:41:08,034 The Predictions of Net 2 -2023-07-26 01:41:08,034 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:41:08,035 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:41:08,035 | 256x192_pose_dual_101_d256d256d256 | 0.6165 | 0.8824 | 0.6863 | 0.5956 | 0.6495 | 0.6565 | 0.8925 | 0.7224 | 0.6269 | 0.7006 | -2023-07-26 01:41:08,722 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 01:41:13,476 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:41:13,510 Ensemble Predictions -2023-07-26 01:41:13,512 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:41:13,512 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:41:13,512 | 256x192_pose_dual_101_d256d256d256 | 0.6324 | 0.8925 | 0.7006 | 0.6119 | 0.6657 | 0.6719 | 0.9000 | 0.7390 | 0.6420 | 0.7166 | -2023-07-26 01:41:13,513 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 01:41:23,027 Epoch: [18][0/631] Time 5.472s (5.472s) Speed 5.8 samples/s Data 3.743s (3.743s) Loss 0.000892 (0.000892) Accuracy 0.809 (0.809) loss_pose: 0.000310 loss_cons: 0.000582 -2023-07-26 01:43:59,365 Epoch: [18][100/631] Time 1.625s (1.602s) Speed 19.7 samples/s Data 0.000s (0.037s) Loss 0.000825 (0.000839) Accuracy 0.783 (0.799) loss_pose: 0.000330 loss_cons: 0.000495 -2023-07-26 01:46:33,518 Epoch: [18][200/631] Time 1.532s (1.572s) Speed 20.9 samples/s Data 0.000s (0.019s) Loss 0.000898 (0.000857) Accuracy 0.754 (0.800) loss_pose: 0.000363 loss_cons: 0.000535 -2023-07-26 01:49:08,294 Epoch: [18][300/631] Time 1.540s (1.564s) Speed 20.8 samples/s Data 0.000s (0.013s) Loss 0.000865 (0.000858) Accuracy 0.744 (0.799) loss_pose: 0.000314 loss_cons: 0.000552 -2023-07-26 01:51:44,050 Epoch: [18][400/631] Time 1.518s (1.562s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.001049 (0.000857) Accuracy 0.825 (0.799) loss_pose: 0.000315 loss_cons: 0.000733 -2023-07-26 01:54:19,157 Epoch: [18][500/631] Time 1.519s (1.560s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000845 (0.000854) Accuracy 0.834 (0.801) loss_pose: 0.000253 loss_cons: 0.000592 -2023-07-26 01:56:53,216 Epoch: [18][600/631] Time 1.511s (1.557s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000973 (0.000850) Accuracy 0.744 (0.802) loss_pose: 0.000331 loss_cons: 0.000643 -2023-07-26 01:57:39,592 Epoch: [18][630/631] Time 1.595s (1.556s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000750 (0.000850) Accuracy 0.800 (0.802) loss_pose: 0.000307 loss_cons: 0.000443 -2023-07-26 01:57:46,594 Test: [0/199] Time 4.839 (4.839) Loss 0.0003 (0.0003) Accuracy 0.835 (0.835) -2023-07-26 01:58:07,430 Test: [100/199] Time 0.207 (0.257) Loss 0.0003 (0.0003) Accuracy 0.876 (0.807) -2023-07-26 01:58:26,191 Test: [198/199] Time 0.199 (0.225) Loss 0.0002 (0.0003) Accuracy 0.833 (0.805) -2023-07-26 01:58:27,811 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 01:58:37,643 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:58:37,679 The Predictions of Net 1 -2023-07-26 01:58:37,680 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:58:37,680 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:58:37,680 | 256x192_pose_dual_101_d256d256d256 | 0.6241 | 0.8837 | 0.6945 | 0.6037 | 0.6584 | 0.6603 | 0.8912 | 0.7292 | 0.6295 | 0.7057 | -2023-07-26 01:58:38,373 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 01:58:43,277 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:58:43,316 The Predictions of Net 2 -2023-07-26 01:58:43,318 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:58:43,318 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:58:43,318 | 256x192_pose_dual_101_d256d256d256 | 0.6211 | 0.8843 | 0.6914 | 0.6021 | 0.6511 | 0.6576 | 0.8939 | 0.7239 | 0.6296 | 0.6993 | -2023-07-26 01:58:44,008 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 01:58:50,951 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 01:58:50,988 Ensemble Predictions -2023-07-26 01:58:50,988 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 01:58:50,989 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 01:58:50,989 | 256x192_pose_dual_101_d256d256d256 | 0.6390 | 0.8942 | 0.7136 | 0.6187 | 0.6697 | 0.6739 | 0.9008 | 0.7402 | 0.6454 | 0.7161 | -2023-07-26 01:58:50,990 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 01:59:00,924 Epoch: [19][0/631] Time 5.930s (5.930s) Speed 5.4 samples/s Data 4.239s (4.239s) Loss 0.000854 (0.000854) Accuracy 0.814 (0.814) loss_pose: 0.000321 loss_cons: 0.000533 -2023-07-26 02:01:37,634 Epoch: [19][100/631] Time 1.513s (1.610s) Speed 21.1 samples/s Data 0.000s (0.042s) Loss 0.000708 (0.000839) Accuracy 0.749 (0.809) loss_pose: 0.000330 loss_cons: 0.000378 -2023-07-26 02:04:13,333 Epoch: [19][200/631] Time 1.521s (1.584s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000811 (0.000837) Accuracy 0.843 (0.808) loss_pose: 0.000269 loss_cons: 0.000542 -2023-07-26 02:06:49,175 Epoch: [19][300/631] Time 1.523s (1.575s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000923 (0.000835) Accuracy 0.812 (0.809) loss_pose: 0.000312 loss_cons: 0.000611 -2023-07-26 02:09:23,441 Epoch: [19][400/631] Time 1.524s (1.567s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000912 (0.000837) Accuracy 0.774 (0.809) loss_pose: 0.000311 loss_cons: 0.000601 -2023-07-26 02:11:59,114 Epoch: [19][500/631] Time 1.517s (1.565s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000768 (0.000836) Accuracy 0.856 (0.810) loss_pose: 0.000280 loss_cons: 0.000488 -2023-07-26 02:14:32,829 Epoch: [19][600/631] Time 1.522s (1.560s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000829 (0.000838) Accuracy 0.788 (0.810) loss_pose: 0.000305 loss_cons: 0.000524 -2023-07-26 02:15:18,301 Epoch: [19][630/631] Time 1.523s (1.558s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000880 (0.000837) Accuracy 0.822 (0.810) loss_pose: 0.000290 loss_cons: 0.000590 -2023-07-26 02:15:24,936 Test: [0/199] Time 4.562 (4.562) Loss 0.0003 (0.0003) Accuracy 0.836 (0.836) -2023-07-26 02:15:45,571 Test: [100/199] Time 0.196 (0.250) Loss 0.0003 (0.0003) Accuracy 0.848 (0.810) -2023-07-26 02:16:04,331 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0003) Accuracy 0.825 (0.809) -2023-07-26 02:16:05,580 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 02:16:15,061 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:16:15,099 The Predictions of Net 1 -2023-07-26 02:16:15,100 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:16:15,100 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:16:15,100 | 256x192_pose_dual_101_d256d256d256 | 0.6258 | 0.8840 | 0.6955 | 0.6072 | 0.6610 | 0.6633 | 0.8972 | 0.7298 | 0.6322 | 0.7091 | -2023-07-26 02:16:15,802 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 02:16:20,614 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:16:20,651 The Predictions of Net 2 -2023-07-26 02:16:20,652 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:16:20,652 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:16:20,652 | 256x192_pose_dual_101_d256d256d256 | 0.6272 | 0.8831 | 0.7034 | 0.6068 | 0.6627 | 0.6639 | 0.8931 | 0.7322 | 0.6321 | 0.7106 | -2023-07-26 02:16:21,358 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 02:16:26,224 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:16:26,259 Ensemble Predictions -2023-07-26 02:16:26,260 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:16:26,261 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:16:26,261 | 256x192_pose_dual_101_d256d256d256 | 0.6402 | 0.8940 | 0.7164 | 0.6194 | 0.6750 | 0.6763 | 0.9022 | 0.7467 | 0.6453 | 0.7220 | -2023-07-26 02:16:26,262 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 02:16:36,471 Epoch: [20][0/631] Time 6.205s (6.205s) Speed 5.2 samples/s Data 4.516s (4.516s) Loss 0.000782 (0.000782) Accuracy 0.871 (0.871) loss_pose: 0.000231 loss_cons: 0.000551 -2023-07-26 02:19:11,952 Epoch: [20][100/631] Time 1.528s (1.601s) Speed 20.9 samples/s Data 0.000s (0.045s) Loss 0.000879 (0.000833) Accuracy 0.830 (0.807) loss_pose: 0.000261 loss_cons: 0.000619 -2023-07-26 02:21:47,430 Epoch: [20][200/631] Time 1.520s (1.578s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000749 (0.000826) Accuracy 0.836 (0.808) loss_pose: 0.000273 loss_cons: 0.000476 -2023-07-26 02:24:22,069 Epoch: [20][300/631] Time 1.513s (1.567s) Speed 21.2 samples/s Data 0.000s (0.015s) Loss 0.000841 (0.000829) Accuracy 0.848 (0.807) loss_pose: 0.000219 loss_cons: 0.000622 -2023-07-26 02:26:58,533 Epoch: [20][400/631] Time 1.520s (1.567s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000914 (0.000830) Accuracy 0.842 (0.808) loss_pose: 0.000313 loss_cons: 0.000601 -2023-07-26 02:29:32,261 Epoch: [20][500/631] Time 1.520s (1.561s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000715 (0.000829) Accuracy 0.798 (0.809) loss_pose: 0.000293 loss_cons: 0.000422 -2023-07-26 02:32:06,134 Epoch: [20][600/631] Time 1.508s (1.557s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000821 (0.000829) Accuracy 0.794 (0.809) loss_pose: 0.000345 loss_cons: 0.000476 -2023-07-26 02:32:51,536 Epoch: [20][630/631] Time 1.512s (1.555s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000718 (0.000829) Accuracy 0.796 (0.809) loss_pose: 0.000285 loss_cons: 0.000434 -2023-07-26 02:32:58,274 Test: [0/199] Time 4.609 (4.609) Loss 0.0003 (0.0003) Accuracy 0.845 (0.845) -2023-07-26 02:33:19,444 Test: [100/199] Time 0.206 (0.257) Loss 0.0003 (0.0003) Accuracy 0.879 (0.812) -2023-07-26 02:33:38,505 Test: [198/199] Time 0.254 (0.226) Loss 0.0002 (0.0003) Accuracy 0.877 (0.811) -2023-07-26 02:33:43,151 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 02:33:51,177 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:33:51,212 The Predictions of Net 1 -2023-07-26 02:33:51,213 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:33:51,214 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:33:51,214 | 256x192_pose_dual_101_d256d256d256 | 0.6333 | 0.8840 | 0.7038 | 0.6144 | 0.6663 | 0.6696 | 0.8961 | 0.7390 | 0.6411 | 0.7117 | -2023-07-26 02:33:51,902 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 02:33:56,687 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:33:56,723 The Predictions of Net 2 -2023-07-26 02:33:56,723 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:33:56,723 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:33:56,724 | 256x192_pose_dual_101_d256d256d256 | 0.6324 | 0.8838 | 0.7044 | 0.6141 | 0.6661 | 0.6690 | 0.8969 | 0.7388 | 0.6402 | 0.7119 | -2023-07-26 02:33:57,411 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 02:34:02,133 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:34:02,168 Ensemble Predictions -2023-07-26 02:34:02,169 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:34:02,169 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:34:02,169 | 256x192_pose_dual_101_d256d256d256 | 0.6485 | 0.8943 | 0.7264 | 0.6306 | 0.6819 | 0.6852 | 0.9054 | 0.7577 | 0.6566 | 0.7279 | -2023-07-26 02:34:02,170 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 02:34:12,162 Epoch: [21][0/631] Time 5.994s (5.994s) Speed 5.3 samples/s Data 4.316s (4.316s) Loss 0.000762 (0.000762) Accuracy 0.874 (0.874) loss_pose: 0.000237 loss_cons: 0.000525 -2023-07-26 02:36:46,806 Epoch: [21][100/631] Time 1.522s (1.591s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000758 (0.000804) Accuracy 0.808 (0.812) loss_pose: 0.000295 loss_cons: 0.000462 -2023-07-26 02:39:22,160 Epoch: [21][200/631] Time 1.518s (1.572s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000855 (0.000815) Accuracy 0.774 (0.812) loss_pose: 0.000289 loss_cons: 0.000565 -2023-07-26 02:41:56,639 Epoch: [21][300/631] Time 1.514s (1.563s) Speed 21.1 samples/s Data 0.001s (0.015s) Loss 0.000801 (0.000817) Accuracy 0.843 (0.811) loss_pose: 0.000245 loss_cons: 0.000556 -2023-07-26 02:44:30,891 Epoch: [21][400/631] Time 1.642s (1.558s) Speed 19.5 samples/s Data 0.000s (0.011s) Loss 0.000833 (0.000819) Accuracy 0.847 (0.814) loss_pose: 0.000291 loss_cons: 0.000542 -2023-07-26 02:47:06,674 Epoch: [21][500/631] Time 1.526s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000834 (0.000817) Accuracy 0.796 (0.814) loss_pose: 0.000263 loss_cons: 0.000571 -2023-07-26 02:49:42,340 Epoch: [21][600/631] Time 1.599s (1.558s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000793 (0.000819) Accuracy 0.810 (0.814) loss_pose: 0.000283 loss_cons: 0.000510 -2023-07-26 02:50:28,743 Epoch: [21][630/631] Time 1.522s (1.557s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000709 (0.000820) Accuracy 0.779 (0.813) loss_pose: 0.000305 loss_cons: 0.000404 -2023-07-26 02:50:36,287 Test: [0/199] Time 5.364 (5.364) Loss 0.0003 (0.0003) Accuracy 0.855 (0.855) -2023-07-26 02:50:56,262 Test: [100/199] Time 0.200 (0.252) Loss 0.0003 (0.0003) Accuracy 0.873 (0.816) -2023-07-26 02:51:15,067 Test: [198/199] Time 0.136 (0.222) Loss 0.0002 (0.0003) Accuracy 0.835 (0.816) -2023-07-26 02:51:16,995 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 02:51:26,846 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:51:26,889 The Predictions of Net 1 -2023-07-26 02:51:26,890 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:51:26,891 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:51:26,891 | 256x192_pose_dual_101_d256d256d256 | 0.6410 | 0.8845 | 0.7234 | 0.6224 | 0.6747 | 0.6788 | 0.8996 | 0.7516 | 0.6484 | 0.7240 | -2023-07-26 02:51:29,703 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 02:51:34,678 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:51:34,718 The Predictions of Net 2 -2023-07-26 02:51:34,719 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:51:34,720 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:51:34,720 | 256x192_pose_dual_101_d256d256d256 | 0.6360 | 0.8841 | 0.7126 | 0.6174 | 0.6658 | 0.6721 | 0.8948 | 0.7404 | 0.6445 | 0.7137 | -2023-07-26 02:51:35,413 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 02:51:40,264 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 02:51:40,303 Ensemble Predictions -2023-07-26 02:51:40,304 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 02:51:40,304 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 02:51:40,304 | 256x192_pose_dual_101_d256d256d256 | 0.6507 | 0.8948 | 0.7256 | 0.6314 | 0.6849 | 0.6879 | 0.9032 | 0.7579 | 0.6589 | 0.7314 | -2023-07-26 02:51:40,306 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 02:51:50,488 Epoch: [22][0/631] Time 6.222s (6.222s) Speed 5.1 samples/s Data 4.514s (4.514s) Loss 0.000768 (0.000768) Accuracy 0.806 (0.806) loss_pose: 0.000298 loss_cons: 0.000471 -2023-07-26 02:54:24,454 Epoch: [22][100/631] Time 1.551s (1.586s) Speed 20.6 samples/s Data 0.000s (0.045s) Loss 0.000811 (0.000814) Accuracy 0.816 (0.811) loss_pose: 0.000267 loss_cons: 0.000544 -2023-07-26 02:56:58,793 Epoch: [22][200/631] Time 1.517s (1.565s) Speed 21.1 samples/s Data 0.000s (0.023s) Loss 0.001323 (0.000846) Accuracy 0.601 (0.797) loss_pose: 0.000403 loss_cons: 0.000920 -2023-07-26 02:59:33,081 Epoch: [22][300/631] Time 1.640s (1.558s) Speed 19.5 samples/s Data 0.001s (0.015s) Loss 0.000916 (0.000872) Accuracy 0.710 (0.781) loss_pose: 0.000340 loss_cons: 0.000575 -2023-07-26 03:02:07,129 Epoch: [22][400/631] Time 1.517s (1.553s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000795 (0.000871) Accuracy 0.822 (0.782) loss_pose: 0.000281 loss_cons: 0.000514 -2023-07-26 03:04:41,583 Epoch: [22][500/631] Time 1.523s (1.552s) Speed 21.0 samples/s Data 0.001s (0.009s) Loss 0.000677 (0.000862) Accuracy 0.827 (0.786) loss_pose: 0.000261 loss_cons: 0.000416 -2023-07-26 03:07:15,388 Epoch: [22][600/631] Time 1.524s (1.549s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000826 (0.000856) Accuracy 0.859 (0.790) loss_pose: 0.000262 loss_cons: 0.000564 -2023-07-26 03:08:00,829 Epoch: [22][630/631] Time 1.514s (1.548s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000851 (0.000854) Accuracy 0.740 (0.790) loss_pose: 0.000323 loss_cons: 0.000528 -2023-07-26 03:08:07,072 Test: [0/199] Time 4.040 (4.040) Loss 0.0003 (0.0003) Accuracy 0.843 (0.843) -2023-07-26 03:08:28,290 Test: [100/199] Time 0.202 (0.253) Loss 0.0003 (0.0003) Accuracy 0.879 (0.811) -2023-07-26 03:08:46,966 Test: [198/199] Time 0.138 (0.222) Loss 0.0002 (0.0003) Accuracy 0.817 (0.810) -2023-07-26 03:08:48,609 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 03:08:57,541 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:08:57,579 The Predictions of Net 1 -2023-07-26 03:08:57,580 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:08:57,581 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:08:57,581 | 256x192_pose_dual_101_d256d256d256 | 0.6293 | 0.8841 | 0.7026 | 0.6074 | 0.6653 | 0.6676 | 0.8958 | 0.7358 | 0.6355 | 0.7150 | -2023-07-26 03:08:58,282 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 03:09:03,087 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:09:03,123 The Predictions of Net 2 -2023-07-26 03:09:03,123 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:09:03,124 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:09:03,125 | 256x192_pose_dual_101_d256d256d256 | 0.6281 | 0.8836 | 0.7030 | 0.6077 | 0.6640 | 0.6666 | 0.8944 | 0.7333 | 0.6369 | 0.7108 | -2023-07-26 03:09:03,818 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 03:09:10,704 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:09:10,739 Ensemble Predictions -2023-07-26 03:09:10,739 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:09:10,740 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:09:10,741 | 256x192_pose_dual_101_d256d256d256 | 0.6457 | 0.8944 | 0.7223 | 0.6258 | 0.6790 | 0.6826 | 0.9018 | 0.7502 | 0.6538 | 0.7257 | -2023-07-26 03:09:10,742 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 03:09:19,563 Epoch: [23][0/631] Time 5.789s (5.789s) Speed 5.5 samples/s Data 4.123s (4.123s) Loss 0.000904 (0.000904) Accuracy 0.633 (0.633) loss_pose: 0.000366 loss_cons: 0.000538 -2023-07-26 03:11:56,266 Epoch: [23][100/631] Time 1.519s (1.609s) Speed 21.1 samples/s Data 0.000s (0.041s) Loss 0.000831 (0.000821) Accuracy 0.724 (0.802) loss_pose: 0.000344 loss_cons: 0.000487 -2023-07-26 03:14:29,983 Epoch: [23][200/631] Time 1.512s (1.573s) Speed 21.2 samples/s Data 0.000s (0.021s) Loss 0.000901 (0.000820) Accuracy 0.769 (0.805) loss_pose: 0.000283 loss_cons: 0.000617 -2023-07-26 03:17:04,491 Epoch: [23][300/631] Time 1.513s (1.564s) Speed 21.2 samples/s Data 0.001s (0.014s) Loss 0.000891 (0.000814) Accuracy 0.910 (0.807) loss_pose: 0.000209 loss_cons: 0.000682 -2023-07-26 03:19:48,781 Epoch: [23][400/631] Time 1.524s (1.584s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000849 (0.000815) Accuracy 0.807 (0.808) loss_pose: 0.000309 loss_cons: 0.000540 -2023-07-26 03:22:29,658 Epoch: [23][500/631] Time 1.514s (1.589s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000866 (0.000812) Accuracy 0.800 (0.810) loss_pose: 0.000311 loss_cons: 0.000555 -2023-07-26 03:25:05,011 Epoch: [23][600/631] Time 1.594s (1.583s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000903 (0.000813) Accuracy 0.782 (0.810) loss_pose: 0.000319 loss_cons: 0.000584 -2023-07-26 03:25:50,867 Epoch: [23][630/631] Time 1.524s (1.580s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000812 (0.000812) Accuracy 0.786 (0.811) loss_pose: 0.000284 loss_cons: 0.000527 -2023-07-26 03:25:58,373 Test: [0/199] Time 5.427 (5.427) Loss 0.0003 (0.0003) Accuracy 0.845 (0.845) -2023-07-26 03:26:18,248 Test: [100/199] Time 0.196 (0.252) Loss 0.0003 (0.0003) Accuracy 0.869 (0.817) -2023-07-26 03:26:37,002 Test: [198/199] Time 0.138 (0.222) Loss 0.0002 (0.0003) Accuracy 0.798 (0.816) -2023-07-26 03:26:38,826 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 03:26:48,400 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:26:48,433 The Predictions of Net 1 -2023-07-26 03:26:48,434 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:26:48,434 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:26:48,434 | 256x192_pose_dual_101_d256d256d256 | 0.6431 | 0.8937 | 0.7170 | 0.6238 | 0.6757 | 0.6795 | 0.9014 | 0.7487 | 0.6497 | 0.7240 | -2023-07-26 03:26:49,124 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 03:26:53,830 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:26:53,866 The Predictions of Net 2 -2023-07-26 03:26:53,867 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:26:53,867 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:26:53,867 | 256x192_pose_dual_101_d256d256d256 | 0.6431 | 0.8941 | 0.7174 | 0.6233 | 0.6756 | 0.6782 | 0.9000 | 0.7475 | 0.6498 | 0.7204 | -2023-07-26 03:26:54,554 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 03:26:59,240 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:26:59,275 Ensemble Predictions -2023-07-26 03:26:59,276 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:26:59,276 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:26:59,276 | 256x192_pose_dual_101_d256d256d256 | 0.6567 | 0.8946 | 0.7374 | 0.6363 | 0.6916 | 0.6920 | 0.9077 | 0.7642 | 0.6626 | 0.7359 | -2023-07-26 03:26:59,277 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 03:27:08,353 Epoch: [24][0/631] Time 5.173s (5.173s) Speed 6.2 samples/s Data 3.463s (3.463s) Loss 0.000963 (0.000963) Accuracy 0.822 (0.822) loss_pose: 0.000277 loss_cons: 0.000686 -2023-07-26 03:29:44,927 Epoch: [24][100/631] Time 1.610s (1.601s) Speed 19.9 samples/s Data 0.000s (0.035s) Loss 0.000719 (0.000804) Accuracy 0.837 (0.817) loss_pose: 0.000276 loss_cons: 0.000443 -2023-07-26 03:32:19,733 Epoch: [24][200/631] Time 1.577s (1.575s) Speed 20.3 samples/s Data 0.000s (0.018s) Loss 0.000933 (0.000808) Accuracy 0.825 (0.813) loss_pose: 0.000292 loss_cons: 0.000640 -2023-07-26 03:34:57,920 Epoch: [24][300/631] Time 1.629s (1.577s) Speed 19.6 samples/s Data 0.000s (0.012s) Loss 0.000761 (0.000804) Accuracy 0.734 (0.814) loss_pose: 0.000300 loss_cons: 0.000460 -2023-07-26 03:37:33,298 Epoch: [24][400/631] Time 1.524s (1.571s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000842 (0.000806) Accuracy 0.804 (0.814) loss_pose: 0.000314 loss_cons: 0.000528 -2023-07-26 03:40:07,664 Epoch: [24][500/631] Time 1.523s (1.566s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000785 (0.000803) Accuracy 0.815 (0.814) loss_pose: 0.000294 loss_cons: 0.000491 -2023-07-26 03:42:41,490 Epoch: [24][600/631] Time 1.507s (1.561s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000905 (0.000804) Accuracy 0.767 (0.815) loss_pose: 0.000284 loss_cons: 0.000621 -2023-07-26 03:43:26,913 Epoch: [24][630/631] Time 1.526s (1.559s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000678 (0.000805) Accuracy 0.875 (0.816) loss_pose: 0.000236 loss_cons: 0.000443 -2023-07-26 03:43:34,460 Test: [0/199] Time 5.336 (5.336) Loss 0.0003 (0.0003) Accuracy 0.839 (0.839) -2023-07-26 03:43:54,276 Test: [100/199] Time 0.199 (0.249) Loss 0.0003 (0.0003) Accuracy 0.884 (0.817) -2023-07-26 03:44:12,865 Test: [198/199] Time 0.135 (0.220) Loss 0.0002 (0.0003) Accuracy 0.847 (0.819) -2023-07-26 03:44:14,612 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 03:44:24,093 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:44:24,157 The Predictions of Net 1 -2023-07-26 03:44:24,158 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:44:24,159 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:44:24,160 | 256x192_pose_dual_101_d256d256d256 | 0.6451 | 0.8943 | 0.7154 | 0.6256 | 0.6779 | 0.6808 | 0.9013 | 0.7461 | 0.6509 | 0.7256 | -2023-07-26 03:44:24,863 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 03:44:29,625 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:44:29,661 The Predictions of Net 2 -2023-07-26 03:44:29,662 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:44:29,663 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:44:29,663 | 256x192_pose_dual_101_d256d256d256 | 0.6370 | 0.8835 | 0.7141 | 0.6174 | 0.6714 | 0.6727 | 0.8970 | 0.7421 | 0.6435 | 0.7165 | -2023-07-26 03:44:30,352 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 03:44:35,093 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 03:44:35,126 Ensemble Predictions -2023-07-26 03:44:35,127 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 03:44:35,128 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 03:44:35,128 | 256x192_pose_dual_101_d256d256d256 | 0.6542 | 0.8952 | 0.7277 | 0.6354 | 0.6882 | 0.6899 | 0.9057 | 0.7585 | 0.6605 | 0.7339 | -2023-07-26 03:44:35,128 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 03:44:43,942 Epoch: [25][0/631] Time 5.890s (5.890s) Speed 5.4 samples/s Data 4.217s (4.217s) Loss 0.000717 (0.000717) Accuracy 0.828 (0.828) loss_pose: 0.000273 loss_cons: 0.000444 -2023-07-26 03:47:18,488 Epoch: [25][100/631] Time 1.537s (1.588s) Speed 20.8 samples/s Data 0.000s (0.042s) Loss 0.000711 (0.000784) Accuracy 0.843 (0.815) loss_pose: 0.000290 loss_cons: 0.000422 -2023-07-26 03:49:54,694 Epoch: [25][200/631] Time 1.516s (1.575s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000738 (0.000793) Accuracy 0.812 (0.817) loss_pose: 0.000315 loss_cons: 0.000423 -2023-07-26 03:52:27,481 Epoch: [25][300/631] Time 1.514s (1.560s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000773 (0.000791) Accuracy 0.792 (0.817) loss_pose: 0.000315 loss_cons: 0.000458 -2023-07-26 03:55:02,274 Epoch: [25][400/631] Time 1.517s (1.557s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000954 (0.000792) Accuracy 0.768 (0.817) loss_pose: 0.000329 loss_cons: 0.000625 -2023-07-26 03:57:36,851 Epoch: [25][500/631] Time 1.523s (1.554s) Speed 21.0 samples/s Data 0.001s (0.009s) Loss 0.000856 (0.000790) Accuracy 0.878 (0.819) loss_pose: 0.000265 loss_cons: 0.000591 -2023-07-26 04:00:11,086 Epoch: [25][600/631] Time 1.505s (1.552s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000801 (0.000791) Accuracy 0.753 (0.819) loss_pose: 0.000342 loss_cons: 0.000459 -2023-07-26 04:00:56,587 Epoch: [25][630/631] Time 1.509s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000720 (0.000791) Accuracy 0.841 (0.819) loss_pose: 0.000269 loss_cons: 0.000450 -2023-07-26 04:01:03,711 Test: [0/199] Time 4.954 (4.954) Loss 0.0003 (0.0003) Accuracy 0.838 (0.838) -2023-07-26 04:01:23,569 Test: [100/199] Time 0.202 (0.247) Loss 0.0003 (0.0003) Accuracy 0.861 (0.818) -2023-07-26 04:01:42,033 Test: [198/199] Time 0.134 (0.218) Loss 0.0003 (0.0003) Accuracy 0.797 (0.819) -2023-07-26 04:01:43,466 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 04:01:54,895 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:01:54,931 The Predictions of Net 1 -2023-07-26 04:01:54,931 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:01:54,932 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:01:54,932 | 256x192_pose_dual_101_d256d256d256 | 0.6482 | 0.8938 | 0.7270 | 0.6276 | 0.6835 | 0.6841 | 0.9013 | 0.7528 | 0.6532 | 0.7301 | -2023-07-26 04:01:55,616 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 04:02:00,352 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:02:00,387 The Predictions of Net 2 -2023-07-26 04:02:00,387 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:02:00,388 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:02:00,388 | 256x192_pose_dual_101_d256d256d256 | 0.6516 | 0.8932 | 0.7265 | 0.6301 | 0.6842 | 0.6866 | 0.9021 | 0.7571 | 0.6568 | 0.7310 | -2023-07-26 04:02:01,080 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 04:02:05,819 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:02:05,853 Ensemble Predictions -2023-07-26 04:02:05,854 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:02:05,855 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:02:05,855 | 256x192_pose_dual_101_d256d256d256 | 0.6623 | 0.8948 | 0.7379 | 0.6435 | 0.6992 | 0.6975 | 0.9065 | 0.7673 | 0.6675 | 0.7426 | -2023-07-26 04:02:05,855 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 04:02:15,840 Epoch: [26][0/631] Time 5.942s (5.942s) Speed 5.4 samples/s Data 4.261s (4.261s) Loss 0.000932 (0.000932) Accuracy 0.831 (0.831) loss_pose: 0.000262 loss_cons: 0.000670 -2023-07-26 04:04:50,599 Epoch: [26][100/631] Time 1.519s (1.591s) Speed 21.1 samples/s Data 0.000s (0.043s) Loss 0.000630 (0.000775) Accuracy 0.895 (0.825) loss_pose: 0.000246 loss_cons: 0.000384 -2023-07-26 04:07:26,066 Epoch: [26][200/631] Time 1.515s (1.573s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000770 (0.000782) Accuracy 0.846 (0.824) loss_pose: 0.000247 loss_cons: 0.000523 -2023-07-26 04:10:00,228 Epoch: [26][300/631] Time 1.524s (1.563s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000663 (0.000785) Accuracy 0.809 (0.823) loss_pose: 0.000252 loss_cons: 0.000411 -2023-07-26 04:12:35,557 Epoch: [26][400/631] Time 1.539s (1.560s) Speed 20.8 samples/s Data 0.000s (0.011s) Loss 0.000768 (0.000789) Accuracy 0.832 (0.822) loss_pose: 0.000250 loss_cons: 0.000517 -2023-07-26 04:15:10,746 Epoch: [26][500/631] Time 1.518s (1.559s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000908 (0.000786) Accuracy 0.810 (0.823) loss_pose: 0.000274 loss_cons: 0.000634 -2023-07-26 04:17:44,934 Epoch: [26][600/631] Time 1.509s (1.556s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000715 (0.000786) Accuracy 0.836 (0.824) loss_pose: 0.000271 loss_cons: 0.000444 -2023-07-26 04:18:30,767 Epoch: [26][630/631] Time 1.511s (1.554s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000704 (0.000785) Accuracy 0.882 (0.824) loss_pose: 0.000236 loss_cons: 0.000468 -2023-07-26 04:18:38,726 Test: [0/199] Time 5.799 (5.799) Loss 0.0003 (0.0003) Accuracy 0.849 (0.849) -2023-07-26 04:18:58,532 Test: [100/199] Time 0.204 (0.254) Loss 0.0003 (0.0003) Accuracy 0.885 (0.820) -2023-07-26 04:19:17,137 Test: [198/199] Time 0.139 (0.222) Loss 0.0002 (0.0003) Accuracy 0.817 (0.819) -2023-07-26 04:19:18,799 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 04:19:28,475 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:19:28,511 The Predictions of Net 1 -2023-07-26 04:19:28,512 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:19:28,513 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:19:28,513 | 256x192_pose_dual_101_d256d256d256 | 0.6408 | 0.8844 | 0.7159 | 0.6237 | 0.6752 | 0.6787 | 0.8981 | 0.7481 | 0.6496 | 0.7221 | -2023-07-26 04:19:29,208 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 04:19:36,132 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:19:36,168 The Predictions of Net 2 -2023-07-26 04:19:36,168 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:19:36,169 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:19:36,169 | 256x192_pose_dual_101_d256d256d256 | 0.6522 | 0.8942 | 0.7269 | 0.6321 | 0.6881 | 0.6881 | 0.9059 | 0.7572 | 0.6579 | 0.7334 | -2023-07-26 04:19:36,853 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 04:19:41,675 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:19:41,710 Ensemble Predictions -2023-07-26 04:19:41,711 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:19:41,712 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:19:41,712 | 256x192_pose_dual_101_d256d256d256 | 0.6598 | 0.8954 | 0.7380 | 0.6421 | 0.6941 | 0.6957 | 0.9081 | 0.7662 | 0.6670 | 0.7389 | -2023-07-26 04:19:41,713 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 04:19:50,958 Epoch: [27][0/631] Time 6.023s (6.023s) Speed 5.3 samples/s Data 4.340s (4.340s) Loss 0.000840 (0.000840) Accuracy 0.854 (0.854) loss_pose: 0.000259 loss_cons: 0.000581 -2023-07-26 04:22:25,251 Epoch: [27][100/631] Time 1.523s (1.587s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000776 (0.000791) Accuracy 0.864 (0.830) loss_pose: 0.000236 loss_cons: 0.000540 -2023-07-26 04:25:01,990 Epoch: [27][200/631] Time 1.533s (1.577s) Speed 20.9 samples/s Data 0.000s (0.022s) Loss 0.000877 (0.000793) Accuracy 0.832 (0.826) loss_pose: 0.000286 loss_cons: 0.000591 -2023-07-26 04:27:35,802 Epoch: [27][300/631] Time 1.511s (1.564s) Speed 21.2 samples/s Data 0.000s (0.015s) Loss 0.000885 (0.000789) Accuracy 0.866 (0.824) loss_pose: 0.000268 loss_cons: 0.000618 -2023-07-26 04:30:10,803 Epoch: [27][400/631] Time 1.635s (1.561s) Speed 19.6 samples/s Data 0.000s (0.011s) Loss 0.000771 (0.000789) Accuracy 0.874 (0.824) loss_pose: 0.000225 loss_cons: 0.000545 -2023-07-26 04:32:45,840 Epoch: [27][500/631] Time 1.587s (1.559s) Speed 20.2 samples/s Data 0.000s (0.009s) Loss 0.000782 (0.000786) Accuracy 0.831 (0.824) loss_pose: 0.000263 loss_cons: 0.000519 -2023-07-26 04:35:19,959 Epoch: [27][600/631] Time 1.506s (1.556s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000721 (0.000787) Accuracy 0.864 (0.825) loss_pose: 0.000264 loss_cons: 0.000457 -2023-07-26 04:36:05,371 Epoch: [27][630/631] Time 1.525s (1.554s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000888 (0.000788) Accuracy 0.822 (0.825) loss_pose: 0.000271 loss_cons: 0.000616 -2023-07-26 04:36:11,154 Test: [0/199] Time 3.528 (3.528) Loss 0.0003 (0.0003) Accuracy 0.832 (0.832) -2023-07-26 04:36:32,914 Test: [100/199] Time 0.195 (0.253) Loss 0.0003 (0.0003) Accuracy 0.881 (0.822) -2023-07-26 04:36:51,453 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0003) Accuracy 0.816 (0.821) -2023-07-26 04:36:53,228 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 04:37:02,171 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:37:02,227 The Predictions of Net 1 -2023-07-26 04:37:02,227 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:37:02,229 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:37:02,230 | 256x192_pose_dual_101_d256d256d256 | 0.6482 | 0.8943 | 0.7265 | 0.6291 | 0.6797 | 0.6837 | 0.9026 | 0.7543 | 0.6550 | 0.7264 | -2023-07-26 04:37:02,942 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 04:37:07,771 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:37:07,803 The Predictions of Net 2 -2023-07-26 04:37:07,804 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:37:07,805 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:37:07,805 | 256x192_pose_dual_101_d256d256d256 | 0.6545 | 0.8943 | 0.7272 | 0.6345 | 0.6887 | 0.6900 | 0.9063 | 0.7596 | 0.6605 | 0.7338 | -2023-07-26 04:37:08,496 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 04:37:15,403 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:37:15,437 Ensemble Predictions -2023-07-26 04:37:15,438 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:37:15,439 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:37:15,439 | 256x192_pose_dual_101_d256d256d256 | 0.6665 | 0.9048 | 0.7475 | 0.6457 | 0.6994 | 0.7005 | 0.9114 | 0.7713 | 0.6716 | 0.7434 | -2023-07-26 04:37:15,440 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 04:37:25,078 Epoch: [28][0/631] Time 5.604s (5.604s) Speed 5.7 samples/s Data 3.901s (3.901s) Loss 0.000801 (0.000801) Accuracy 0.836 (0.836) loss_pose: 0.000271 loss_cons: 0.000530 -2023-07-26 04:39:59,567 Epoch: [28][100/631] Time 1.518s (1.585s) Speed 21.1 samples/s Data 0.000s (0.039s) Loss 0.000647 (0.000784) Accuracy 0.858 (0.823) loss_pose: 0.000225 loss_cons: 0.000422 -2023-07-26 04:42:34,453 Epoch: [28][200/631] Time 1.592s (1.567s) Speed 20.1 samples/s Data 0.000s (0.020s) Loss 0.000792 (0.000783) Accuracy 0.829 (0.825) loss_pose: 0.000257 loss_cons: 0.000536 -2023-07-26 04:45:08,204 Epoch: [28][300/631] Time 1.656s (1.557s) Speed 19.3 samples/s Data 0.000s (0.013s) Loss 0.000752 (0.000780) Accuracy 0.803 (0.826) loss_pose: 0.000291 loss_cons: 0.000461 -2023-07-26 04:47:42,469 Epoch: [28][400/631] Time 1.525s (1.554s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000800 (0.000784) Accuracy 0.864 (0.825) loss_pose: 0.000275 loss_cons: 0.000524 -2023-07-26 04:50:17,614 Epoch: [28][500/631] Time 1.598s (1.553s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000745 (0.000783) Accuracy 0.782 (0.825) loss_pose: 0.000301 loss_cons: 0.000444 -2023-07-26 04:52:51,889 Epoch: [28][600/631] Time 1.506s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000738 (0.000785) Accuracy 0.834 (0.826) loss_pose: 0.000265 loss_cons: 0.000474 -2023-07-26 04:53:37,418 Epoch: [28][630/631] Time 1.556s (1.550s) Speed 20.6 samples/s Data 0.000s (0.007s) Loss 0.000807 (0.000786) Accuracy 0.811 (0.827) loss_pose: 0.000296 loss_cons: 0.000512 -2023-07-26 04:53:44,083 Test: [0/199] Time 4.322 (4.322) Loss 0.0003 (0.0003) Accuracy 0.830 (0.830) -2023-07-26 04:54:04,891 Test: [100/199] Time 0.196 (0.251) Loss 0.0003 (0.0003) Accuracy 0.869 (0.829) -2023-07-26 04:54:23,545 Test: [198/199] Time 0.146 (0.221) Loss 0.0002 (0.0003) Accuracy 0.869 (0.827) -2023-07-26 04:54:25,415 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 04:54:35,276 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:54:35,316 The Predictions of Net 1 -2023-07-26 04:54:35,317 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:54:35,317 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:54:35,318 | 256x192_pose_dual_101_d256d256d256 | 0.6618 | 0.8946 | 0.7369 | 0.6410 | 0.6977 | 0.6970 | 0.9051 | 0.7659 | 0.6660 | 0.7431 | -2023-07-26 04:54:36,029 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 04:54:40,908 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:54:40,945 The Predictions of Net 2 -2023-07-26 04:54:40,946 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:54:40,946 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:54:40,946 | 256x192_pose_dual_101_d256d256d256 | 0.6585 | 0.8944 | 0.7375 | 0.6356 | 0.6949 | 0.6921 | 0.9071 | 0.7626 | 0.6602 | 0.7397 | -2023-07-26 04:54:41,635 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 04:54:46,411 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 04:54:46,445 Ensemble Predictions -2023-07-26 04:54:46,446 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 04:54:46,447 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 04:54:46,447 | 256x192_pose_dual_101_d256d256d256 | 0.6729 | 0.9043 | 0.7506 | 0.6511 | 0.7101 | 0.7063 | 0.9101 | 0.7776 | 0.6754 | 0.7525 | -2023-07-26 04:54:46,448 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 04:54:55,426 Epoch: [29][0/631] Time 4.931s (4.931s) Speed 6.5 samples/s Data 3.121s (3.121s) Loss 0.000660 (0.000660) Accuracy 0.853 (0.853) loss_pose: 0.000257 loss_cons: 0.000404 -2023-07-26 04:57:31,689 Epoch: [29][100/631] Time 1.635s (1.596s) Speed 19.6 samples/s Data 0.000s (0.031s) Loss 0.000749 (0.000777) Accuracy 0.867 (0.825) loss_pose: 0.000263 loss_cons: 0.000486 -2023-07-26 05:00:06,485 Epoch: [29][200/631] Time 1.515s (1.572s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000802 (0.000793) Accuracy 0.826 (0.823) loss_pose: 0.000271 loss_cons: 0.000532 -2023-07-26 05:02:42,174 Epoch: [29][300/631] Time 1.607s (1.567s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000700 (0.000795) Accuracy 0.888 (0.825) loss_pose: 0.000286 loss_cons: 0.000414 -2023-07-26 05:05:16,345 Epoch: [29][400/631] Time 1.520s (1.561s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000723 (0.000795) Accuracy 0.856 (0.826) loss_pose: 0.000247 loss_cons: 0.000476 -2023-07-26 05:07:50,651 Epoch: [29][500/631] Time 1.521s (1.557s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000693 (0.000794) Accuracy 0.851 (0.827) loss_pose: 0.000256 loss_cons: 0.000437 -2023-07-26 05:10:24,451 Epoch: [29][600/631] Time 1.540s (1.554s) Speed 20.8 samples/s Data 0.000s (0.006s) Loss 0.000770 (0.000793) Accuracy 0.837 (0.826) loss_pose: 0.000254 loss_cons: 0.000515 -2023-07-26 05:11:09,984 Epoch: [29][630/631] Time 1.509s (1.552s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000721 (0.000793) Accuracy 0.909 (0.827) loss_pose: 0.000236 loss_cons: 0.000486 -2023-07-26 05:11:17,613 Test: [0/199] Time 5.331 (5.331) Loss 0.0003 (0.0003) Accuracy 0.856 (0.856) -2023-07-26 05:11:37,740 Test: [100/199] Time 0.198 (0.253) Loss 0.0003 (0.0003) Accuracy 0.874 (0.828) -2023-07-26 05:11:56,429 Test: [198/199] Time 0.180 (0.223) Loss 0.0002 (0.0003) Accuracy 0.856 (0.827) -2023-07-26 05:11:57,964 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 05:12:09,164 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:12:09,201 The Predictions of Net 1 -2023-07-26 05:12:09,202 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:12:09,202 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:12:09,202 | 256x192_pose_dual_101_d256d256d256 | 0.6614 | 0.8956 | 0.7374 | 0.6427 | 0.6964 | 0.6958 | 0.9076 | 0.7637 | 0.6670 | 0.7391 | -2023-07-26 05:12:09,893 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 05:12:14,708 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:12:14,746 The Predictions of Net 2 -2023-07-26 05:12:14,747 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:12:14,747 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:12:14,748 | 256x192_pose_dual_101_d256d256d256 | 0.6587 | 0.8944 | 0.7376 | 0.6360 | 0.6969 | 0.6926 | 0.9060 | 0.7613 | 0.6600 | 0.7409 | -2023-07-26 05:12:15,437 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 05:12:20,227 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:12:20,260 Ensemble Predictions -2023-07-26 05:12:20,261 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:12:20,262 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:12:20,262 | 256x192_pose_dual_101_d256d256d256 | 0.6743 | 0.9053 | 0.7493 | 0.6549 | 0.7093 | 0.7089 | 0.9140 | 0.7780 | 0.6799 | 0.7527 | -2023-07-26 05:12:20,263 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 05:12:28,956 Epoch: [30][0/631] Time 5.707s (5.707s) Speed 5.6 samples/s Data 4.023s (4.023s) Loss 0.000774 (0.000774) Accuracy 0.788 (0.788) loss_pose: 0.000274 loss_cons: 0.000500 -2023-07-26 05:15:03,419 Epoch: [30][100/631] Time 1.592s (1.586s) Speed 20.1 samples/s Data 0.000s (0.040s) Loss 0.000779 (0.000761) Accuracy 0.793 (0.825) loss_pose: 0.000271 loss_cons: 0.000508 -2023-07-26 05:17:37,033 Epoch: [30][200/631] Time 1.570s (1.561s) Speed 20.4 samples/s Data 0.000s (0.020s) Loss 0.000844 (0.000763) Accuracy 0.806 (0.830) loss_pose: 0.000314 loss_cons: 0.000529 -2023-07-26 05:20:11,611 Epoch: [30][300/631] Time 1.510s (1.556s) Speed 21.2 samples/s Data 0.000s (0.014s) Loss 0.000741 (0.000761) Accuracy 0.829 (0.830) loss_pose: 0.000288 loss_cons: 0.000453 -2023-07-26 05:22:45,066 Epoch: [30][400/631] Time 1.572s (1.551s) Speed 20.4 samples/s Data 0.000s (0.010s) Loss 0.000700 (0.000763) Accuracy 0.903 (0.830) loss_pose: 0.000230 loss_cons: 0.000471 -2023-07-26 05:25:18,884 Epoch: [30][500/631] Time 1.523s (1.548s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000674 (0.000762) Accuracy 0.895 (0.832) loss_pose: 0.000238 loss_cons: 0.000436 -2023-07-26 05:27:51,365 Epoch: [30][600/631] Time 1.513s (1.544s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000738 (0.000761) Accuracy 0.841 (0.832) loss_pose: 0.000259 loss_cons: 0.000479 -2023-07-26 05:28:36,785 Epoch: [30][630/631] Time 1.511s (1.543s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000734 (0.000762) Accuracy 0.805 (0.832) loss_pose: 0.000243 loss_cons: 0.000491 -2023-07-26 05:28:44,149 Test: [0/199] Time 5.009 (5.009) Loss 0.0002 (0.0002) Accuracy 0.861 (0.861) -2023-07-26 05:29:04,456 Test: [100/199] Time 0.210 (0.252) Loss 0.0003 (0.0003) Accuracy 0.871 (0.829) -2023-07-26 05:29:23,152 Test: [198/199] Time 0.146 (0.222) Loss 0.0002 (0.0003) Accuracy 0.858 (0.829) -2023-07-26 05:29:24,844 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 05:29:34,175 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:29:34,216 The Predictions of Net 1 -2023-07-26 05:29:34,217 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:29:34,217 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:29:34,217 | 256x192_pose_dual_101_d256d256d256 | 0.6596 | 0.8946 | 0.7366 | 0.6380 | 0.6975 | 0.6964 | 0.9096 | 0.7668 | 0.6643 | 0.7437 | -2023-07-26 05:29:34,912 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 05:29:41,724 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:29:41,758 The Predictions of Net 2 -2023-07-26 05:29:41,759 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:29:41,759 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:29:41,759 | 256x192_pose_dual_101_d256d256d256 | 0.6516 | 0.8936 | 0.7338 | 0.6296 | 0.6898 | 0.6918 | 0.9057 | 0.7612 | 0.6590 | 0.7405 | -2023-07-26 05:29:42,446 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 05:29:47,226 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:29:47,261 Ensemble Predictions -2023-07-26 05:29:47,262 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:29:47,263 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:29:47,263 | 256x192_pose_dual_101_d256d256d256 | 0.6717 | 0.9046 | 0.7477 | 0.6495 | 0.7080 | 0.7077 | 0.9128 | 0.7742 | 0.6765 | 0.7542 | -2023-07-26 05:29:47,264 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 05:29:55,350 Epoch: [31][0/631] Time 5.114s (5.114s) Speed 6.3 samples/s Data 3.336s (3.336s) Loss 0.000780 (0.000780) Accuracy 0.823 (0.823) loss_pose: 0.000294 loss_cons: 0.000486 -2023-07-26 05:32:29,890 Epoch: [31][100/631] Time 1.551s (1.581s) Speed 20.6 samples/s Data 0.000s (0.033s) Loss 0.000786 (0.000772) Accuracy 0.882 (0.829) loss_pose: 0.000261 loss_cons: 0.000524 -2023-07-26 05:35:05,484 Epoch: [31][200/631] Time 1.529s (1.568s) Speed 20.9 samples/s Data 0.000s (0.017s) Loss 0.000831 (0.000771) Accuracy 0.825 (0.829) loss_pose: 0.000251 loss_cons: 0.000579 -2023-07-26 05:37:39,213 Epoch: [31][300/631] Time 1.515s (1.558s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000850 (0.000767) Accuracy 0.792 (0.829) loss_pose: 0.000271 loss_cons: 0.000579 -2023-07-26 05:40:14,465 Epoch: [31][400/631] Time 1.535s (1.557s) Speed 20.8 samples/s Data 0.000s (0.009s) Loss 0.000856 (0.000771) Accuracy 0.808 (0.830) loss_pose: 0.000304 loss_cons: 0.000553 -2023-07-26 05:42:49,147 Epoch: [31][500/631] Time 1.518s (1.555s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000725 (0.000773) Accuracy 0.856 (0.830) loss_pose: 0.000229 loss_cons: 0.000495 -2023-07-26 05:45:23,918 Epoch: [31][600/631] Time 1.589s (1.554s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000925 (0.000772) Accuracy 0.752 (0.831) loss_pose: 0.000298 loss_cons: 0.000627 -2023-07-26 05:46:11,651 Epoch: [31][630/631] Time 1.589s (1.555s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000705 (0.000772) Accuracy 0.799 (0.830) loss_pose: 0.000242 loss_cons: 0.000463 -2023-07-26 05:46:19,789 Test: [0/199] Time 5.931 (5.931) Loss 0.0003 (0.0003) Accuracy 0.843 (0.843) -2023-07-26 05:46:39,512 Test: [100/199] Time 0.197 (0.254) Loss 0.0003 (0.0003) Accuracy 0.890 (0.832) -2023-07-26 05:46:58,298 Test: [198/199] Time 0.135 (0.224) Loss 0.0002 (0.0003) Accuracy 0.878 (0.830) -2023-07-26 05:46:59,972 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 05:47:09,214 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:47:09,256 The Predictions of Net 1 -2023-07-26 05:47:09,256 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:47:09,258 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:47:09,258 | 256x192_pose_dual_101_d256d256d256 | 0.6641 | 0.8946 | 0.7464 | 0.6444 | 0.6992 | 0.6995 | 0.9079 | 0.7703 | 0.6690 | 0.7448 | -2023-07-26 05:47:09,952 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 05:47:14,800 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:47:14,836 The Predictions of Net 2 -2023-07-26 05:47:14,836 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:47:14,837 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:47:14,837 | 256x192_pose_dual_101_d256d256d256 | 0.6693 | 0.9046 | 0.7474 | 0.6481 | 0.7013 | 0.7029 | 0.9129 | 0.7713 | 0.6731 | 0.7472 | -2023-07-26 05:47:15,528 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 05:47:22,428 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 05:47:22,464 Ensemble Predictions -2023-07-26 05:47:22,464 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 05:47:22,465 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 05:47:22,466 | 256x192_pose_dual_101_d256d256d256 | 0.6791 | 0.9048 | 0.7588 | 0.6595 | 0.7128 | 0.7135 | 0.9144 | 0.7831 | 0.6836 | 0.7582 | -2023-07-26 05:47:22,467 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 05:47:32,490 Epoch: [32][0/631] Time 5.876s (5.876s) Speed 5.4 samples/s Data 4.205s (4.205s) Loss 0.000868 (0.000868) Accuracy 0.875 (0.875) loss_pose: 0.000214 loss_cons: 0.000654 -2023-07-26 05:50:07,931 Epoch: [32][100/631] Time 1.536s (1.597s) Speed 20.8 samples/s Data 0.000s (0.042s) Loss 0.000685 (0.000753) Accuracy 0.827 (0.832) loss_pose: 0.000266 loss_cons: 0.000419 -2023-07-26 05:52:42,405 Epoch: [32][200/631] Time 1.517s (1.571s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000688 (0.000754) Accuracy 0.781 (0.831) loss_pose: 0.000309 loss_cons: 0.000379 -2023-07-26 05:55:18,901 Epoch: [32][300/631] Time 1.519s (1.569s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000850 (0.000756) Accuracy 0.744 (0.833) loss_pose: 0.000306 loss_cons: 0.000544 -2023-07-26 05:58:03,486 Epoch: [32][400/631] Time 1.521s (1.588s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000862 (0.000761) Accuracy 0.850 (0.832) loss_pose: 0.000272 loss_cons: 0.000590 -2023-07-26 06:00:45,168 Epoch: [32][500/631] Time 1.599s (1.594s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000753 (0.000763) Accuracy 0.838 (0.832) loss_pose: 0.000275 loss_cons: 0.000478 -2023-07-26 06:03:19,610 Epoch: [32][600/631] Time 1.513s (1.586s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000732 (0.000763) Accuracy 0.835 (0.832) loss_pose: 0.000268 loss_cons: 0.000464 -2023-07-26 06:04:07,062 Epoch: [32][630/631] Time 1.601s (1.585s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000852 (0.000762) Accuracy 0.851 (0.832) loss_pose: 0.000277 loss_cons: 0.000576 -2023-07-26 06:04:14,785 Test: [0/199] Time 5.388 (5.388) Loss 0.0003 (0.0003) Accuracy 0.848 (0.848) -2023-07-26 06:04:34,891 Test: [100/199] Time 0.200 (0.254) Loss 0.0003 (0.0003) Accuracy 0.875 (0.834) -2023-07-26 06:04:53,608 Test: [198/199] Time 0.139 (0.223) Loss 0.0002 (0.0003) Accuracy 0.892 (0.833) -2023-07-26 06:04:55,366 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 06:05:05,169 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:05:05,212 The Predictions of Net 1 -2023-07-26 06:05:05,213 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:05:05,214 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:05:05,214 | 256x192_pose_dual_101_d256d256d256 | 0.6686 | 0.9041 | 0.7496 | 0.6513 | 0.7003 | 0.7034 | 0.9109 | 0.7769 | 0.6746 | 0.7467 | -2023-07-26 06:05:05,921 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 06:05:10,864 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:05:10,902 The Predictions of Net 2 -2023-07-26 06:05:10,903 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:05:10,903 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:05:10,903 | 256x192_pose_dual_101_d256d256d256 | 0.6625 | 0.9039 | 0.7391 | 0.6471 | 0.6939 | 0.6977 | 0.9104 | 0.7679 | 0.6704 | 0.7385 | -2023-07-26 06:05:11,601 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 06:05:16,503 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:05:16,544 Ensemble Predictions -2023-07-26 06:05:16,545 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:05:16,545 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:05:16,545 | 256x192_pose_dual_101_d256d256d256 | 0.6811 | 0.9050 | 0.7616 | 0.6619 | 0.7119 | 0.7135 | 0.9144 | 0.7867 | 0.6858 | 0.7555 | -2023-07-26 06:05:16,546 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 06:05:25,820 Epoch: [33][0/631] Time 6.213s (6.213s) Speed 5.2 samples/s Data 4.498s (4.498s) Loss 0.000776 (0.000776) Accuracy 0.824 (0.824) loss_pose: 0.000270 loss_cons: 0.000506 -2023-07-26 06:08:02,540 Epoch: [33][100/631] Time 1.515s (1.613s) Speed 21.1 samples/s Data 0.000s (0.045s) Loss 0.000701 (0.000756) Accuracy 0.764 (0.829) loss_pose: 0.000290 loss_cons: 0.000411 -2023-07-26 06:10:38,738 Epoch: [33][200/631] Time 1.523s (1.588s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000767 (0.000753) Accuracy 0.764 (0.831) loss_pose: 0.000286 loss_cons: 0.000481 -2023-07-26 06:13:14,290 Epoch: [33][300/631] Time 1.605s (1.577s) Speed 19.9 samples/s Data 0.000s (0.015s) Loss 0.000712 (0.000753) Accuracy 0.860 (0.833) loss_pose: 0.000254 loss_cons: 0.000458 -2023-07-26 06:15:49,162 Epoch: [33][400/631] Time 1.549s (1.570s) Speed 20.7 samples/s Data 0.000s (0.012s) Loss 0.000854 (0.000764) Accuracy 0.807 (0.831) loss_pose: 0.000263 loss_cons: 0.000591 -2023-07-26 06:18:24,155 Epoch: [33][500/631] Time 1.528s (1.566s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000748 (0.000766) Accuracy 0.798 (0.831) loss_pose: 0.000290 loss_cons: 0.000458 -2023-07-26 06:20:59,376 Epoch: [33][600/631] Time 1.507s (1.564s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000674 (0.000768) Accuracy 0.887 (0.831) loss_pose: 0.000232 loss_cons: 0.000443 -2023-07-26 06:21:44,839 Epoch: [33][630/631] Time 1.514s (1.561s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000606 (0.000766) Accuracy 0.875 (0.831) loss_pose: 0.000205 loss_cons: 0.000401 -2023-07-26 06:21:52,886 Test: [0/199] Time 5.746 (5.746) Loss 0.0003 (0.0003) Accuracy 0.845 (0.845) -2023-07-26 06:22:12,625 Test: [100/199] Time 0.196 (0.253) Loss 0.0003 (0.0003) Accuracy 0.870 (0.832) -2023-07-26 06:22:31,321 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0003) Accuracy 0.905 (0.831) -2023-07-26 06:22:35,811 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 06:22:45,070 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:22:45,105 The Predictions of Net 1 -2023-07-26 06:22:45,106 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:22:45,106 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:22:45,106 | 256x192_pose_dual_101_d256d256d256 | 0.6692 | 0.8948 | 0.7500 | 0.6497 | 0.7043 | 0.7033 | 0.9093 | 0.7741 | 0.6724 | 0.7498 | -2023-07-26 06:22:45,798 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 06:22:50,650 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:22:50,684 The Predictions of Net 2 -2023-07-26 06:22:50,684 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:22:50,685 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:22:50,685 | 256x192_pose_dual_101_d256d256d256 | 0.6667 | 0.9040 | 0.7472 | 0.6475 | 0.7014 | 0.7021 | 0.9101 | 0.7714 | 0.6726 | 0.7463 | -2023-07-26 06:22:51,382 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 06:22:56,189 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:22:56,226 Ensemble Predictions -2023-07-26 06:22:56,227 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:22:56,227 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:22:56,227 | 256x192_pose_dual_101_d256d256d256 | 0.6813 | 0.9054 | 0.7608 | 0.6595 | 0.7172 | 0.7147 | 0.9167 | 0.7868 | 0.6840 | 0.7609 | -2023-07-26 06:22:56,229 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 06:23:06,476 Epoch: [34][0/631] Time 6.214s (6.214s) Speed 5.1 samples/s Data 4.551s (4.551s) Loss 0.000877 (0.000877) Accuracy 0.801 (0.801) loss_pose: 0.000284 loss_cons: 0.000593 -2023-07-26 06:25:42,627 Epoch: [34][100/631] Time 1.600s (1.608s) Speed 20.0 samples/s Data 0.000s (0.045s) Loss 0.000622 (0.000760) Accuracy 0.824 (0.825) loss_pose: 0.000275 loss_cons: 0.000347 -2023-07-26 06:28:19,008 Epoch: [34][200/631] Time 1.511s (1.586s) Speed 21.2 samples/s Data 0.000s (0.023s) Loss 0.000866 (0.000757) Accuracy 0.877 (0.831) loss_pose: 0.000270 loss_cons: 0.000596 -2023-07-26 06:30:54,421 Epoch: [34][300/631] Time 1.517s (1.575s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000645 (0.000753) Accuracy 0.866 (0.833) loss_pose: 0.000232 loss_cons: 0.000413 -2023-07-26 06:33:29,452 Epoch: [34][400/631] Time 1.536s (1.569s) Speed 20.8 samples/s Data 0.000s (0.012s) Loss 0.000821 (0.000757) Accuracy 0.868 (0.834) loss_pose: 0.000252 loss_cons: 0.000569 -2023-07-26 06:36:04,837 Epoch: [34][500/631] Time 1.564s (1.566s) Speed 20.5 samples/s Data 0.000s (0.009s) Loss 0.000829 (0.000757) Accuracy 0.785 (0.834) loss_pose: 0.000250 loss_cons: 0.000579 -2023-07-26 06:38:41,112 Epoch: [34][600/631] Time 1.608s (1.565s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000771 (0.000757) Accuracy 0.876 (0.834) loss_pose: 0.000251 loss_cons: 0.000520 -2023-07-26 06:39:26,714 Epoch: [34][630/631] Time 1.509s (1.563s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000651 (0.000756) Accuracy 0.823 (0.834) loss_pose: 0.000270 loss_cons: 0.000382 -2023-07-26 06:39:34,054 Test: [0/199] Time 4.857 (4.857) Loss 0.0003 (0.0003) Accuracy 0.863 (0.863) -2023-07-26 06:39:54,544 Test: [100/199] Time 0.200 (0.252) Loss 0.0003 (0.0003) Accuracy 0.878 (0.835) -2023-07-26 06:40:13,168 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0003) Accuracy 0.857 (0.833) -2023-07-26 06:40:15,208 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 06:40:24,648 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:40:24,688 The Predictions of Net 1 -2023-07-26 06:40:24,689 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:40:24,690 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:40:24,690 | 256x192_pose_dual_101_d256d256d256 | 0.6723 | 0.9046 | 0.7591 | 0.6508 | 0.7053 | 0.7058 | 0.9106 | 0.7805 | 0.6757 | 0.7507 | -2023-07-26 06:40:27,496 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 06:40:32,292 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:40:32,327 The Predictions of Net 2 -2023-07-26 06:40:32,327 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:40:32,328 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:40:32,328 | 256x192_pose_dual_101_d256d256d256 | 0.6724 | 0.9053 | 0.7511 | 0.6527 | 0.7074 | 0.7064 | 0.9122 | 0.7777 | 0.6776 | 0.7499 | -2023-07-26 06:40:33,017 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 06:40:37,997 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:40:38,041 Ensemble Predictions -2023-07-26 06:40:38,042 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:40:38,042 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:40:38,042 | 256x192_pose_dual_101_d256d256d256 | 0.6845 | 0.9060 | 0.7703 | 0.6630 | 0.7186 | 0.7179 | 0.9170 | 0.7917 | 0.6884 | 0.7621 | -2023-07-26 06:40:38,044 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 06:40:48,033 Epoch: [35][0/631] Time 5.900s (5.900s) Speed 5.4 samples/s Data 4.207s (4.207s) Loss 0.000736 (0.000736) Accuracy 0.872 (0.872) loss_pose: 0.000236 loss_cons: 0.000499 -2023-07-26 06:43:23,067 Epoch: [35][100/631] Time 1.518s (1.593s) Speed 21.1 samples/s Data 0.000s (0.042s) Loss 0.000817 (0.000742) Accuracy 0.806 (0.837) loss_pose: 0.000297 loss_cons: 0.000521 -2023-07-26 06:45:57,370 Epoch: [35][200/631] Time 1.537s (1.568s) Speed 20.8 samples/s Data 0.000s (0.021s) Loss 0.000843 (0.000750) Accuracy 0.831 (0.838) loss_pose: 0.000261 loss_cons: 0.000582 -2023-07-26 06:48:31,298 Epoch: [35][300/631] Time 1.609s (1.559s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000704 (0.000752) Accuracy 0.860 (0.839) loss_pose: 0.000237 loss_cons: 0.000467 -2023-07-26 06:51:06,383 Epoch: [35][400/631] Time 1.604s (1.557s) Speed 20.0 samples/s Data 0.000s (0.011s) Loss 0.000778 (0.000753) Accuracy 0.836 (0.837) loss_pose: 0.000271 loss_cons: 0.000507 -2023-07-26 06:53:40,694 Epoch: [35][500/631] Time 1.520s (1.554s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000714 (0.000755) Accuracy 0.889 (0.836) loss_pose: 0.000207 loss_cons: 0.000508 -2023-07-26 06:56:14,907 Epoch: [35][600/631] Time 1.603s (1.552s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000863 (0.000755) Accuracy 0.770 (0.837) loss_pose: 0.000273 loss_cons: 0.000590 -2023-07-26 06:57:02,559 Epoch: [35][630/631] Time 1.528s (1.554s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000698 (0.000754) Accuracy 0.905 (0.837) loss_pose: 0.000209 loss_cons: 0.000489 -2023-07-26 06:57:09,227 Test: [0/199] Time 4.504 (4.504) Loss 0.0003 (0.0003) Accuracy 0.864 (0.864) -2023-07-26 06:57:29,876 Test: [100/199] Time 0.198 (0.251) Loss 0.0003 (0.0003) Accuracy 0.886 (0.837) -2023-07-26 06:57:48,476 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0003) Accuracy 0.856 (0.835) -2023-07-26 06:57:49,874 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 06:57:59,583 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:57:59,655 The Predictions of Net 1 -2023-07-26 06:57:59,657 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:57:59,657 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:57:59,657 | 256x192_pose_dual_101_d256d256d256 | 0.6756 | 0.9041 | 0.7604 | 0.6542 | 0.7112 | 0.7097 | 0.9107 | 0.7832 | 0.6795 | 0.7547 | -2023-07-26 06:58:00,405 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 06:58:05,367 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:58:05,406 The Predictions of Net 2 -2023-07-26 06:58:05,407 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:58:05,408 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:58:05,408 | 256x192_pose_dual_101_d256d256d256 | 0.6722 | 0.9044 | 0.7501 | 0.6498 | 0.7061 | 0.7066 | 0.9144 | 0.7780 | 0.6759 | 0.7518 | -2023-07-26 06:58:08,437 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 06:58:13,352 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 06:58:13,389 Ensemble Predictions -2023-07-26 06:58:13,390 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 06:58:13,390 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 06:58:13,391 | 256x192_pose_dual_101_d256d256d256 | 0.6852 | 0.9054 | 0.7708 | 0.6643 | 0.7218 | 0.7195 | 0.9183 | 0.7916 | 0.6892 | 0.7643 | -2023-07-26 06:58:13,391 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 06:58:23,647 Epoch: [36][0/631] Time 6.209s (6.209s) Speed 5.2 samples/s Data 4.545s (4.545s) Loss 0.000695 (0.000695) Accuracy 0.874 (0.874) loss_pose: 0.000215 loss_cons: 0.000479 -2023-07-26 07:00:59,411 Epoch: [36][100/631] Time 1.512s (1.604s) Speed 21.2 samples/s Data 0.000s (0.045s) Loss 0.000772 (0.000738) Accuracy 0.832 (0.835) loss_pose: 0.000263 loss_cons: 0.000508 -2023-07-26 07:03:34,388 Epoch: [36][200/631] Time 1.536s (1.577s) Speed 20.8 samples/s Data 0.001s (0.023s) Loss 0.000735 (0.000739) Accuracy 0.857 (0.837) loss_pose: 0.000271 loss_cons: 0.000464 -2023-07-26 07:06:08,954 Epoch: [36][300/631] Time 1.610s (1.566s) Speed 19.9 samples/s Data 0.000s (0.015s) Loss 0.000755 (0.000743) Accuracy 0.859 (0.836) loss_pose: 0.000251 loss_cons: 0.000504 -2023-07-26 07:08:42,894 Epoch: [36][400/631] Time 1.544s (1.560s) Speed 20.7 samples/s Data 0.000s (0.012s) Loss 0.000799 (0.000745) Accuracy 0.840 (0.836) loss_pose: 0.000236 loss_cons: 0.000563 -2023-07-26 07:11:16,172 Epoch: [36][500/631] Time 1.521s (1.554s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000675 (0.000746) Accuracy 0.832 (0.835) loss_pose: 0.000283 loss_cons: 0.000392 -2023-07-26 07:13:49,628 Epoch: [36][600/631] Time 1.516s (1.551s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000722 (0.000746) Accuracy 0.806 (0.835) loss_pose: 0.000267 loss_cons: 0.000454 -2023-07-26 07:14:35,121 Epoch: [36][630/631] Time 1.525s (1.549s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000783 (0.000747) Accuracy 0.874 (0.835) loss_pose: 0.000252 loss_cons: 0.000531 -2023-07-26 07:14:43,075 Test: [0/199] Time 5.901 (5.901) Loss 0.0003 (0.0003) Accuracy 0.863 (0.863) -2023-07-26 07:15:02,978 Test: [100/199] Time 0.213 (0.255) Loss 0.0003 (0.0003) Accuracy 0.878 (0.834) -2023-07-26 07:15:21,789 Test: [198/199] Time 0.135 (0.224) Loss 0.0002 (0.0003) Accuracy 0.824 (0.833) -2023-07-26 07:15:23,742 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 07:15:32,946 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:15:32,986 The Predictions of Net 1 -2023-07-26 07:15:32,987 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:15:32,988 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:15:32,988 | 256x192_pose_dual_101_d256d256d256 | 0.6719 | 0.9045 | 0.7490 | 0.6506 | 0.7070 | 0.7069 | 0.9104 | 0.7776 | 0.6763 | 0.7527 | -2023-07-26 07:15:33,690 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 07:15:38,526 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:15:38,565 The Predictions of Net 2 -2023-07-26 07:15:38,565 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:15:38,566 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:15:38,566 | 256x192_pose_dual_101_d256d256d256 | 0.6800 | 0.9050 | 0.7597 | 0.6601 | 0.7126 | 0.7137 | 0.9173 | 0.7843 | 0.6855 | 0.7566 | -2023-07-26 07:15:39,256 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 07:15:44,012 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:15:44,048 Ensemble Predictions -2023-07-26 07:15:44,048 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:15:44,049 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:15:44,049 | 256x192_pose_dual_101_d256d256d256 | 0.6912 | 0.9148 | 0.7716 | 0.6694 | 0.7260 | 0.7239 | 0.9210 | 0.7961 | 0.6941 | 0.7688 | -2023-07-26 07:15:44,051 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 07:15:52,981 Epoch: [37][0/631] Time 4.881s (4.881s) Speed 6.6 samples/s Data 3.115s (3.115s) Loss 0.000899 (0.000899) Accuracy 0.830 (0.830) loss_pose: 0.000244 loss_cons: 0.000655 -2023-07-26 07:18:29,416 Epoch: [37][100/631] Time 1.589s (1.597s) Speed 20.1 samples/s Data 0.000s (0.031s) Loss 0.000763 (0.000739) Accuracy 0.809 (0.841) loss_pose: 0.000265 loss_cons: 0.000498 -2023-07-26 07:21:07,779 Epoch: [37][200/631] Time 1.616s (1.590s) Speed 19.8 samples/s Data 0.000s (0.016s) Loss 0.000851 (0.000738) Accuracy 0.793 (0.839) loss_pose: 0.000235 loss_cons: 0.000616 -2023-07-26 07:23:44,491 Epoch: [37][300/631] Time 1.609s (1.583s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000711 (0.000739) Accuracy 0.867 (0.839) loss_pose: 0.000236 loss_cons: 0.000475 -2023-07-26 07:26:21,493 Epoch: [37][400/631] Time 1.573s (1.580s) Speed 20.3 samples/s Data 0.000s (0.008s) Loss 0.000822 (0.000742) Accuracy 0.822 (0.840) loss_pose: 0.000301 loss_cons: 0.000520 -2023-07-26 07:28:55,655 Epoch: [37][500/631] Time 1.597s (1.572s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.001109 (0.000817) Accuracy 0.800 (0.838) loss_pose: 0.000353 loss_cons: 0.000756 -2023-07-26 07:31:30,783 Epoch: [37][600/631] Time 1.595s (1.569s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000982 (0.000870) Accuracy 0.835 (0.838) loss_pose: 0.000279 loss_cons: 0.000703 -2023-07-26 07:32:18,811 Epoch: [37][630/631] Time 1.593s (1.570s) Speed 20.1 samples/s Data 0.000s (0.005s) Loss 0.000890 (0.000875) Accuracy 0.894 (0.838) loss_pose: 0.000265 loss_cons: 0.000626 -2023-07-26 07:32:25,853 Test: [0/199] Time 4.416 (4.416) Loss 0.0003 (0.0003) Accuracy 0.836 (0.836) -2023-07-26 07:32:46,073 Test: [100/199] Time 0.205 (0.247) Loss 0.0003 (0.0003) Accuracy 0.879 (0.832) -2023-07-26 07:33:04,681 Test: [198/199] Time 0.135 (0.219) Loss 0.0002 (0.0003) Accuracy 0.860 (0.831) -2023-07-26 07:33:06,177 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 07:33:15,963 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:33:15,997 The Predictions of Net 1 -2023-07-26 07:33:15,998 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:33:15,999 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:33:15,999 | 256x192_pose_dual_101_d256d256d256 | 0.6674 | 0.9043 | 0.7399 | 0.6416 | 0.7041 | 0.7000 | 0.9104 | 0.7697 | 0.6663 | 0.7498 | -2023-07-26 07:33:16,689 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 07:33:21,481 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:33:21,514 The Predictions of Net 2 -2023-07-26 07:33:21,515 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:33:21,515 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:33:21,515 | 256x192_pose_dual_101_d256d256d256 | 0.5859 | 0.8526 | 0.6497 | 0.5667 | 0.6197 | 0.6230 | 0.8646 | 0.6856 | 0.5916 | 0.6697 | -2023-07-26 07:33:22,202 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 07:33:26,983 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:33:27,026 Ensemble Predictions -2023-07-26 07:33:27,026 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:33:27,027 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:33:27,027 | 256x192_pose_dual_101_d256d256d256 | 0.6488 | 0.8937 | 0.7271 | 0.6264 | 0.6873 | 0.6843 | 0.9016 | 0.7561 | 0.6513 | 0.7331 | -2023-07-26 07:33:27,028 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 07:33:35,231 Epoch: [38][0/631] Time 5.307s (5.307s) Speed 6.0 samples/s Data 3.537s (3.537s) Loss 0.000941 (0.000941) Accuracy 0.795 (0.795) loss_pose: 0.000318 loss_cons: 0.000623 -2023-07-26 07:36:08,807 Epoch: [38][100/631] Time 1.515s (1.573s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000809 (0.000943) Accuracy 0.875 (0.831) loss_pose: 0.000265 loss_cons: 0.000545 -2023-07-26 07:38:43,615 Epoch: [38][200/631] Time 1.515s (1.561s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000961 (0.000915) Accuracy 0.882 (0.837) loss_pose: 0.000257 loss_cons: 0.000704 -2023-07-26 07:41:16,438 Epoch: [38][300/631] Time 1.520s (1.550s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000801 (0.000898) Accuracy 0.851 (0.836) loss_pose: 0.000280 loss_cons: 0.000520 -2023-07-26 07:43:52,094 Epoch: [38][400/631] Time 1.523s (1.552s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000873 (0.000885) Accuracy 0.817 (0.836) loss_pose: 0.000293 loss_cons: 0.000580 -2023-07-26 07:46:26,988 Epoch: [38][500/631] Time 1.613s (1.551s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000847 (0.000874) Accuracy 0.868 (0.837) loss_pose: 0.000256 loss_cons: 0.000591 -2023-07-26 07:49:01,532 Epoch: [38][600/631] Time 1.512s (1.550s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000981 (0.000885) Accuracy 0.798 (0.836) loss_pose: 0.000300 loss_cons: 0.000681 -2023-07-26 07:49:46,873 Epoch: [38][630/631] Time 1.518s (1.548s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000862 (0.000888) Accuracy 0.860 (0.836) loss_pose: 0.000280 loss_cons: 0.000582 -2023-07-26 07:49:52,764 Test: [0/199] Time 3.822 (3.822) Loss 0.0003 (0.0003) Accuracy 0.843 (0.843) -2023-07-26 07:50:14,039 Test: [100/199] Time 0.204 (0.251) Loss 0.0003 (0.0003) Accuracy 0.880 (0.831) -2023-07-26 07:50:32,816 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0003) Accuracy 0.858 (0.830) -2023-07-26 07:50:34,680 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 07:50:45,786 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:50:45,820 The Predictions of Net 1 -2023-07-26 07:50:45,821 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:50:45,822 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:50:45,822 | 256x192_pose_dual_101_d256d256d256 | 0.6646 | 0.8947 | 0.7482 | 0.6419 | 0.7015 | 0.6998 | 0.9073 | 0.7752 | 0.6690 | 0.7455 | -2023-07-26 07:50:46,509 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 07:50:51,323 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:50:51,357 The Predictions of Net 2 -2023-07-26 07:50:51,358 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:50:51,358 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:50:51,359 | 256x192_pose_dual_101_d256d256d256 | 0.5857 | 0.8527 | 0.6577 | 0.5659 | 0.6194 | 0.6241 | 0.8700 | 0.6900 | 0.5923 | 0.6702 | -2023-07-26 07:50:52,064 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 07:50:56,770 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 07:50:56,804 Ensemble Predictions -2023-07-26 07:50:56,805 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 07:50:56,805 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 07:50:56,805 | 256x192_pose_dual_101_d256d256d256 | 0.6467 | 0.8939 | 0.7267 | 0.6266 | 0.6812 | 0.6826 | 0.9011 | 0.7560 | 0.6526 | 0.7266 | -2023-07-26 07:50:56,806 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 07:51:05,108 Epoch: [39][0/631] Time 5.398s (5.398s) Speed 5.9 samples/s Data 3.684s (3.684s) Loss 0.001016 (0.001016) Accuracy 0.844 (0.844) loss_pose: 0.000280 loss_cons: 0.000737 -2023-07-26 07:53:41,384 Epoch: [39][100/631] Time 1.621s (1.601s) Speed 19.7 samples/s Data 0.000s (0.037s) Loss 0.000803 (0.000920) Accuracy 0.808 (0.840) loss_pose: 0.000271 loss_cons: 0.000532 -2023-07-26 07:56:17,806 Epoch: [39][200/631] Time 1.518s (1.583s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000980 (0.000896) Accuracy 0.827 (0.838) loss_pose: 0.000292 loss_cons: 0.000688 -2023-07-26 07:58:52,560 Epoch: [39][300/631] Time 1.529s (1.571s) Speed 20.9 samples/s Data 0.000s (0.013s) Loss 0.000785 (0.000883) Accuracy 0.808 (0.839) loss_pose: 0.000289 loss_cons: 0.000496 -2023-07-26 08:01:28,980 Epoch: [39][400/631] Time 1.632s (1.569s) Speed 19.6 samples/s Data 0.000s (0.010s) Loss 0.000827 (0.000874) Accuracy 0.812 (0.839) loss_pose: 0.000258 loss_cons: 0.000569 -2023-07-26 08:04:04,539 Epoch: [39][500/631] Time 1.606s (1.567s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000875 (0.000864) Accuracy 0.818 (0.839) loss_pose: 0.000295 loss_cons: 0.000580 -2023-07-26 08:06:40,189 Epoch: [39][600/631] Time 1.512s (1.565s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000939 (0.000857) Accuracy 0.817 (0.841) loss_pose: 0.000282 loss_cons: 0.000657 -2023-07-26 08:07:26,358 Epoch: [39][630/631] Time 1.599s (1.564s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000744 (0.000855) Accuracy 0.871 (0.841) loss_pose: 0.000258 loss_cons: 0.000486 -2023-07-26 08:07:32,871 Test: [0/199] Time 4.265 (4.265) Loss 0.0003 (0.0003) Accuracy 0.856 (0.856) -2023-07-26 08:07:53,583 Test: [100/199] Time 0.200 (0.249) Loss 0.0003 (0.0003) Accuracy 0.882 (0.836) -2023-07-26 08:08:12,085 Test: [198/199] Time 0.133 (0.220) Loss 0.0002 (0.0003) Accuracy 0.857 (0.836) -2023-07-26 08:08:13,426 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 08:08:23,334 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:08:23,382 The Predictions of Net 1 -2023-07-26 08:08:23,383 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:08:23,383 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:08:23,383 | 256x192_pose_dual_101_d256d256d256 | 0.6792 | 0.9045 | 0.7599 | 0.6541 | 0.7170 | 0.7122 | 0.9133 | 0.7849 | 0.6793 | 0.7610 | -2023-07-26 08:08:24,079 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 08:08:31,371 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:08:31,412 The Predictions of Net 2 -2023-07-26 08:08:31,414 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:08:31,414 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:08:31,414 | 256x192_pose_dual_101_d256d256d256 | 0.6512 | 0.8940 | 0.7369 | 0.6331 | 0.6839 | 0.6867 | 0.9021 | 0.7615 | 0.6583 | 0.7290 | -2023-07-26 08:08:32,099 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 08:08:36,931 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:08:36,967 Ensemble Predictions -2023-07-26 08:08:36,967 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:08:36,968 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:08:36,968 | 256x192_pose_dual_101_d256d256d256 | 0.6803 | 0.9054 | 0.7620 | 0.6606 | 0.7149 | 0.7147 | 0.9172 | 0.7895 | 0.6850 | 0.7592 | -2023-07-26 08:08:36,970 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 08:08:46,062 Epoch: [40][0/631] Time 6.036s (6.036s) Speed 5.3 samples/s Data 4.361s (4.361s) Loss 0.000855 (0.000855) Accuracy 0.877 (0.877) loss_pose: 0.000262 loss_cons: 0.000592 -2023-07-26 08:11:20,724 Epoch: [40][100/631] Time 1.536s (1.591s) Speed 20.8 samples/s Data 0.000s (0.044s) Loss 0.000826 (0.000790) Accuracy 0.808 (0.836) loss_pose: 0.000308 loss_cons: 0.000518 -2023-07-26 08:13:56,660 Epoch: [40][200/631] Time 1.513s (1.575s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000874 (0.000795) Accuracy 0.859 (0.838) loss_pose: 0.000249 loss_cons: 0.000624 -2023-07-26 08:16:31,842 Epoch: [40][300/631] Time 1.519s (1.567s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000754 (0.000793) Accuracy 0.868 (0.839) loss_pose: 0.000234 loss_cons: 0.000520 -2023-07-26 08:19:07,005 Epoch: [40][400/631] Time 1.528s (1.564s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000795 (0.000793) Accuracy 0.827 (0.840) loss_pose: 0.000254 loss_cons: 0.000541 -2023-07-26 08:21:44,193 Epoch: [40][500/631] Time 1.518s (1.565s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000720 (0.000789) Accuracy 0.912 (0.841) loss_pose: 0.000194 loss_cons: 0.000526 -2023-07-26 08:24:18,470 Epoch: [40][600/631] Time 1.509s (1.561s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000811 (0.000787) Accuracy 0.837 (0.841) loss_pose: 0.000250 loss_cons: 0.000561 -2023-07-26 08:25:03,896 Epoch: [40][630/631] Time 1.510s (1.559s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000752 (0.000787) Accuracy 0.781 (0.842) loss_pose: 0.000293 loss_cons: 0.000459 -2023-07-26 08:25:10,586 Test: [0/199] Time 4.245 (4.245) Loss 0.0003 (0.0003) Accuracy 0.869 (0.869) -2023-07-26 08:25:31,497 Test: [100/199] Time 0.219 (0.252) Loss 0.0002 (0.0003) Accuracy 0.902 (0.840) -2023-07-26 08:25:50,132 Test: [198/199] Time 0.133 (0.221) Loss 0.0002 (0.0003) Accuracy 0.907 (0.838) -2023-07-26 08:25:51,579 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 08:26:01,129 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:26:01,171 The Predictions of Net 1 -2023-07-26 08:26:01,172 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:26:01,173 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:26:01,173 | 256x192_pose_dual_101_d256d256d256 | 0.6779 | 0.9052 | 0.7598 | 0.6548 | 0.7195 | 0.7132 | 0.9139 | 0.7848 | 0.6807 | 0.7613 | -2023-07-26 08:26:01,876 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 08:26:06,672 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:26:06,706 The Predictions of Net 2 -2023-07-26 08:26:06,707 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:26:06,707 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:26:06,707 | 256x192_pose_dual_101_d256d256d256 | 0.6658 | 0.9043 | 0.7479 | 0.6471 | 0.6961 | 0.6997 | 0.9109 | 0.7730 | 0.6723 | 0.7405 | -2023-07-26 08:26:07,398 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 08:26:14,462 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:26:14,498 Ensemble Predictions -2023-07-26 08:26:14,499 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:26:14,500 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:26:14,500 | 256x192_pose_dual_101_d256d256d256 | 0.6863 | 0.9056 | 0.7706 | 0.6671 | 0.7224 | 0.7208 | 0.9181 | 0.7941 | 0.6912 | 0.7651 | -2023-07-26 08:26:14,501 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 08:26:23,708 Epoch: [41][0/631] Time 6.003s (6.003s) Speed 5.3 samples/s Data 4.279s (4.279s) Loss 0.000756 (0.000756) Accuracy 0.840 (0.840) loss_pose: 0.000262 loss_cons: 0.000494 -2023-07-26 08:28:58,944 Epoch: [41][100/631] Time 1.621s (1.596s) Speed 19.7 samples/s Data 0.000s (0.043s) Loss 0.000714 (0.000763) Accuracy 0.856 (0.847) loss_pose: 0.000255 loss_cons: 0.000459 -2023-07-26 08:31:34,092 Epoch: [41][200/631] Time 1.510s (1.574s) Speed 21.2 samples/s Data 0.000s (0.022s) Loss 0.000707 (0.000768) Accuracy 0.834 (0.845) loss_pose: 0.000272 loss_cons: 0.000435 -2023-07-26 08:34:13,721 Epoch: [41][300/631] Time 1.512s (1.581s) Speed 21.2 samples/s Data 0.000s (0.015s) Loss 0.000775 (0.000766) Accuracy 0.807 (0.844) loss_pose: 0.000275 loss_cons: 0.000499 -2023-07-26 08:36:58,863 Epoch: [41][400/631] Time 1.546s (1.599s) Speed 20.7 samples/s Data 0.000s (0.011s) Loss 0.000872 (0.000766) Accuracy 0.829 (0.841) loss_pose: 0.000292 loss_cons: 0.000580 -2023-07-26 08:39:36,315 Epoch: [41][500/631] Time 1.617s (1.594s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000706 (0.000767) Accuracy 0.844 (0.841) loss_pose: 0.000266 loss_cons: 0.000440 -2023-07-26 08:42:10,949 Epoch: [41][600/631] Time 1.510s (1.586s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000787 (0.000768) Accuracy 0.814 (0.841) loss_pose: 0.000257 loss_cons: 0.000530 -2023-07-26 08:42:56,417 Epoch: [41][630/631] Time 1.521s (1.583s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000902 (0.000768) Accuracy 0.842 (0.840) loss_pose: 0.000231 loss_cons: 0.000671 -2023-07-26 08:43:03,818 Test: [0/199] Time 4.983 (4.983) Loss 0.0003 (0.0003) Accuracy 0.855 (0.855) -2023-07-26 08:43:23,910 Test: [100/199] Time 0.195 (0.250) Loss 0.0003 (0.0003) Accuracy 0.891 (0.833) -2023-07-26 08:43:42,502 Test: [198/199] Time 0.133 (0.220) Loss 0.0002 (0.0003) Accuracy 0.876 (0.832) -2023-07-26 08:43:44,304 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 08:43:54,399 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:43:54,437 The Predictions of Net 1 -2023-07-26 08:43:54,438 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:43:54,438 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:43:54,438 | 256x192_pose_dual_101_d256d256d256 | 0.6687 | 0.9047 | 0.7495 | 0.6496 | 0.7027 | 0.7035 | 0.9106 | 0.7753 | 0.6719 | 0.7508 | -2023-07-26 08:43:55,134 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 08:43:59,980 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:44:00,016 The Predictions of Net 2 -2023-07-26 08:44:00,017 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:44:00,017 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:44:00,017 | 256x192_pose_dual_101_d256d256d256 | 0.6690 | 0.9052 | 0.7507 | 0.6536 | 0.6996 | 0.7043 | 0.9144 | 0.7777 | 0.6778 | 0.7441 | -2023-07-26 08:44:00,704 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 08:44:05,456 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 08:44:05,494 Ensemble Predictions -2023-07-26 08:44:05,495 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 08:44:05,495 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 08:44:05,495 | 256x192_pose_dual_101_d256d256d256 | 0.6834 | 0.9057 | 0.7713 | 0.6646 | 0.7161 | 0.7172 | 0.9178 | 0.7917 | 0.6891 | 0.7595 | -2023-07-26 08:44:05,496 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 08:44:13,692 Epoch: [42][0/631] Time 5.211s (5.211s) Speed 6.1 samples/s Data 3.534s (3.534s) Loss 0.000879 (0.000879) Accuracy 0.877 (0.877) loss_pose: 0.000243 loss_cons: 0.000636 -2023-07-26 08:46:49,379 Epoch: [42][100/631] Time 1.517s (1.593s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000742 (0.000766) Accuracy 0.809 (0.835) loss_pose: 0.000315 loss_cons: 0.000428 -2023-07-26 08:49:24,175 Epoch: [42][200/631] Time 1.588s (1.571s) Speed 20.1 samples/s Data 0.000s (0.018s) Loss 0.000818 (0.000763) Accuracy 0.831 (0.837) loss_pose: 0.000268 loss_cons: 0.000550 -2023-07-26 08:51:58,292 Epoch: [42][300/631] Time 1.532s (1.561s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000710 (0.000755) Accuracy 0.855 (0.840) loss_pose: 0.000282 loss_cons: 0.000428 -2023-07-26 08:54:32,444 Epoch: [42][400/631] Time 1.523s (1.556s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000714 (0.000755) Accuracy 0.784 (0.840) loss_pose: 0.000304 loss_cons: 0.000409 -2023-07-26 08:57:05,823 Epoch: [42][500/631] Time 1.516s (1.552s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000873 (0.000753) Accuracy 0.846 (0.840) loss_pose: 0.000263 loss_cons: 0.000611 -2023-07-26 08:59:38,466 Epoch: [42][600/631] Time 1.518s (1.547s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000697 (0.000751) Accuracy 0.835 (0.840) loss_pose: 0.000245 loss_cons: 0.000452 -2023-07-26 09:00:23,908 Epoch: [42][630/631] Time 1.508s (1.546s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000739 (0.000752) Accuracy 0.893 (0.840) loss_pose: 0.000226 loss_cons: 0.000513 -2023-07-26 09:00:31,072 Test: [0/199] Time 4.850 (4.850) Loss 0.0002 (0.0002) Accuracy 0.898 (0.898) -2023-07-26 09:00:51,197 Test: [100/199] Time 0.195 (0.250) Loss 0.0003 (0.0003) Accuracy 0.883 (0.841) -2023-07-26 09:01:09,829 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0003) Accuracy 0.878 (0.839) -2023-07-26 09:01:11,062 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 09:01:22,987 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:01:23,028 The Predictions of Net 1 -2023-07-26 09:01:23,029 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:01:23,029 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:01:23,029 | 256x192_pose_dual_101_d256d256d256 | 0.6798 | 0.9046 | 0.7601 | 0.6592 | 0.7149 | 0.7134 | 0.9151 | 0.7845 | 0.6839 | 0.7575 | -2023-07-26 09:01:23,715 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 09:01:28,488 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:01:28,521 The Predictions of Net 2 -2023-07-26 09:01:28,522 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:01:28,523 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:01:28,523 | 256x192_pose_dual_101_d256d256d256 | 0.6755 | 0.9052 | 0.7595 | 0.6568 | 0.7100 | 0.7113 | 0.9166 | 0.7853 | 0.6813 | 0.7557 | -2023-07-26 09:01:29,221 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 09:01:34,027 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:01:34,062 Ensemble Predictions -2023-07-26 09:01:34,063 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:01:34,063 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:01:34,063 | 256x192_pose_dual_101_d256d256d256 | 0.6929 | 0.9154 | 0.7725 | 0.6743 | 0.7273 | 0.7264 | 0.9230 | 0.7997 | 0.6967 | 0.7709 | -2023-07-26 09:01:34,064 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 09:01:43,361 Epoch: [43][0/631] Time 5.158s (5.158s) Speed 6.2 samples/s Data 3.437s (3.437s) Loss 0.000740 (0.000740) Accuracy 0.842 (0.842) loss_pose: 0.000272 loss_cons: 0.000468 -2023-07-26 09:04:18,458 Epoch: [43][100/631] Time 1.522s (1.587s) Speed 21.0 samples/s Data 0.000s (0.034s) Loss 0.000706 (0.000744) Accuracy 0.864 (0.841) loss_pose: 0.000253 loss_cons: 0.000453 -2023-07-26 09:06:53,018 Epoch: [43][200/631] Time 1.607s (1.566s) Speed 19.9 samples/s Data 0.000s (0.017s) Loss 0.000855 (0.000740) Accuracy 0.822 (0.841) loss_pose: 0.000264 loss_cons: 0.000591 -2023-07-26 09:09:28,364 Epoch: [43][300/631] Time 1.519s (1.562s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000819 (0.000740) Accuracy 0.785 (0.841) loss_pose: 0.000284 loss_cons: 0.000534 -2023-07-26 09:12:03,855 Epoch: [43][400/631] Time 1.522s (1.560s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000716 (0.000743) Accuracy 0.883 (0.843) loss_pose: 0.000244 loss_cons: 0.000472 -2023-07-26 09:14:37,845 Epoch: [43][500/631] Time 1.610s (1.556s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000712 (0.000742) Accuracy 0.863 (0.844) loss_pose: 0.000269 loss_cons: 0.000442 -2023-07-26 09:17:12,614 Epoch: [43][600/631] Time 1.573s (1.555s) Speed 20.3 samples/s Data 0.000s (0.006s) Loss 0.000702 (0.000741) Accuracy 0.904 (0.844) loss_pose: 0.000196 loss_cons: 0.000506 -2023-07-26 09:18:00,333 Epoch: [43][630/631] Time 1.593s (1.556s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000727 (0.000741) Accuracy 0.799 (0.844) loss_pose: 0.000292 loss_cons: 0.000435 -2023-07-26 09:18:08,165 Test: [0/199] Time 5.831 (5.831) Loss 0.0002 (0.0002) Accuracy 0.875 (0.875) -2023-07-26 09:18:28,400 Test: [100/199] Time 0.217 (0.258) Loss 0.0003 (0.0003) Accuracy 0.865 (0.844) -2023-07-26 09:18:47,490 Test: [198/199] Time 0.146 (0.227) Loss 0.0002 (0.0003) Accuracy 0.922 (0.841) -2023-07-26 09:18:48,544 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 09:18:57,803 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:18:57,846 The Predictions of Net 1 -2023-07-26 09:18:57,847 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:18:57,847 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:18:57,847 | 256x192_pose_dual_101_d256d256d256 | 0.6843 | 0.9052 | 0.7706 | 0.6636 | 0.7196 | 0.7173 | 0.9159 | 0.7923 | 0.6875 | 0.7618 | -2023-07-26 09:18:58,540 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 09:19:05,488 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:19:05,529 The Predictions of Net 2 -2023-07-26 09:19:05,530 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:19:05,530 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:19:05,530 | 256x192_pose_dual_101_d256d256d256 | 0.6820 | 0.9049 | 0.7705 | 0.6614 | 0.7176 | 0.7151 | 0.9173 | 0.7919 | 0.6860 | 0.7590 | -2023-07-26 09:19:06,217 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 09:19:10,954 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:19:10,989 Ensemble Predictions -2023-07-26 09:19:10,990 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:19:10,990 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:19:10,990 | 256x192_pose_dual_101_d256d256d256 | 0.6950 | 0.9148 | 0.7720 | 0.6716 | 0.7294 | 0.7264 | 0.9203 | 0.7977 | 0.6972 | 0.7702 | -2023-07-26 09:19:10,992 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 09:19:21,037 Epoch: [44][0/631] Time 5.877s (5.877s) Speed 5.4 samples/s Data 4.193s (4.193s) Loss 0.000653 (0.000653) Accuracy 0.858 (0.858) loss_pose: 0.000280 loss_cons: 0.000373 -2023-07-26 09:21:56,045 Epoch: [44][100/631] Time 1.536s (1.593s) Speed 20.8 samples/s Data 0.001s (0.042s) Loss 0.000688 (0.000736) Accuracy 0.823 (0.837) loss_pose: 0.000258 loss_cons: 0.000430 -2023-07-26 09:24:31,867 Epoch: [44][200/631] Time 1.599s (1.576s) Speed 20.0 samples/s Data 0.000s (0.021s) Loss 0.000684 (0.000733) Accuracy 0.816 (0.840) loss_pose: 0.000256 loss_cons: 0.000428 -2023-07-26 09:27:06,643 Epoch: [44][300/631] Time 1.517s (1.566s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000773 (0.000732) Accuracy 0.870 (0.843) loss_pose: 0.000207 loss_cons: 0.000566 -2023-07-26 09:29:39,848 Epoch: [44][400/631] Time 1.515s (1.558s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000790 (0.000731) Accuracy 0.826 (0.843) loss_pose: 0.000268 loss_cons: 0.000523 -2023-07-26 09:32:13,919 Epoch: [44][500/631] Time 1.538s (1.554s) Speed 20.8 samples/s Data 0.000s (0.009s) Loss 0.000709 (0.000734) Accuracy 0.844 (0.842) loss_pose: 0.000301 loss_cons: 0.000408 -2023-07-26 09:34:47,697 Epoch: [44][600/631] Time 1.517s (1.552s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000750 (0.000733) Accuracy 0.813 (0.843) loss_pose: 0.000291 loss_cons: 0.000458 -2023-07-26 09:35:33,153 Epoch: [44][630/631] Time 1.512s (1.550s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000715 (0.000733) Accuracy 0.884 (0.843) loss_pose: 0.000249 loss_cons: 0.000466 -2023-07-26 09:35:39,223 Test: [0/199] Time 3.891 (3.891) Loss 0.0002 (0.0002) Accuracy 0.869 (0.869) -2023-07-26 09:36:00,628 Test: [100/199] Time 0.205 (0.252) Loss 0.0002 (0.0003) Accuracy 0.882 (0.844) -2023-07-26 09:36:19,181 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0003) Accuracy 0.866 (0.843) -2023-07-26 09:36:21,489 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 09:36:30,664 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:36:30,714 The Predictions of Net 1 -2023-07-26 09:36:30,716 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:36:30,717 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:36:30,717 | 256x192_pose_dual_101_d256d256d256 | 0.6866 | 0.9053 | 0.7695 | 0.6653 | 0.7236 | 0.7200 | 0.9151 | 0.7903 | 0.6895 | 0.7659 | -2023-07-26 09:36:31,418 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 09:36:36,285 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:36:36,319 The Predictions of Net 2 -2023-07-26 09:36:36,319 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:36:36,320 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:36:36,320 | 256x192_pose_dual_101_d256d256d256 | 0.6838 | 0.9054 | 0.7621 | 0.6639 | 0.7227 | 0.7185 | 0.9175 | 0.7897 | 0.6875 | 0.7653 | -2023-07-26 09:36:37,012 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 09:36:43,744 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:36:43,777 Ensemble Predictions -2023-07-26 09:36:43,777 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:36:43,778 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:36:43,778 | 256x192_pose_dual_101_d256d256d256 | 0.6988 | 0.9151 | 0.7821 | 0.6783 | 0.7341 | 0.7310 | 0.9219 | 0.8027 | 0.7007 | 0.7765 | -2023-07-26 09:36:43,779 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 09:36:53,596 Epoch: [45][0/631] Time 5.774s (5.774s) Speed 5.5 samples/s Data 4.057s (4.057s) Loss 0.000710 (0.000710) Accuracy 0.884 (0.884) loss_pose: 0.000251 loss_cons: 0.000458 -2023-07-26 09:39:27,661 Epoch: [45][100/631] Time 1.578s (1.583s) Speed 20.3 samples/s Data 0.000s (0.041s) Loss 0.000716 (0.000719) Accuracy 0.844 (0.849) loss_pose: 0.000281 loss_cons: 0.000435 -2023-07-26 09:42:02,381 Epoch: [45][200/631] Time 1.513s (1.565s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000682 (0.000729) Accuracy 0.868 (0.845) loss_pose: 0.000223 loss_cons: 0.000459 -2023-07-26 09:44:37,428 Epoch: [45][300/631] Time 1.515s (1.560s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000645 (0.000726) Accuracy 0.866 (0.845) loss_pose: 0.000224 loss_cons: 0.000420 -2023-07-26 09:47:10,644 Epoch: [45][400/631] Time 1.606s (1.553s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000880 (0.000726) Accuracy 0.790 (0.845) loss_pose: 0.000272 loss_cons: 0.000608 -2023-07-26 09:49:44,090 Epoch: [45][500/631] Time 1.526s (1.549s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000633 (0.000725) Accuracy 0.829 (0.846) loss_pose: 0.000219 loss_cons: 0.000413 -2023-07-26 09:52:18,362 Epoch: [45][600/631] Time 1.521s (1.548s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000748 (0.000727) Accuracy 0.822 (0.846) loss_pose: 0.000230 loss_cons: 0.000518 -2023-07-26 09:53:03,760 Epoch: [45][630/631] Time 1.507s (1.547s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000789 (0.000727) Accuracy 0.859 (0.846) loss_pose: 0.000259 loss_cons: 0.000530 -2023-07-26 09:53:10,173 Test: [0/199] Time 3.903 (3.903) Loss 0.0003 (0.0003) Accuracy 0.874 (0.874) -2023-07-26 09:53:31,398 Test: [100/199] Time 0.198 (0.254) Loss 0.0002 (0.0003) Accuracy 0.892 (0.844) -2023-07-26 09:53:50,060 Test: [198/199] Time 0.134 (0.223) Loss 0.0002 (0.0003) Accuracy 0.831 (0.842) -2023-07-26 09:53:52,053 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 09:54:01,821 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:54:01,858 The Predictions of Net 1 -2023-07-26 09:54:01,859 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:54:01,860 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:54:01,860 | 256x192_pose_dual_101_d256d256d256 | 0.6828 | 0.9051 | 0.7599 | 0.6602 | 0.7186 | 0.7168 | 0.9185 | 0.7887 | 0.6865 | 0.7621 | -2023-07-26 09:54:02,568 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 09:54:07,417 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:54:07,452 The Predictions of Net 2 -2023-07-26 09:54:07,453 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:54:07,454 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:54:07,454 | 256x192_pose_dual_101_d256d256d256 | 0.6840 | 0.9150 | 0.7699 | 0.6630 | 0.7200 | 0.7184 | 0.9205 | 0.7917 | 0.6892 | 0.7627 | -2023-07-26 09:54:08,161 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 09:54:12,965 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 09:54:13,000 Ensemble Predictions -2023-07-26 09:54:13,000 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 09:54:13,001 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 09:54:13,001 | 256x192_pose_dual_101_d256d256d256 | 0.6964 | 0.9156 | 0.7813 | 0.6738 | 0.7313 | 0.7285 | 0.9235 | 0.8005 | 0.6988 | 0.7731 | -2023-07-26 09:54:13,003 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 09:54:21,657 Epoch: [46][0/631] Time 5.724s (5.724s) Speed 5.6 samples/s Data 4.014s (4.014s) Loss 0.000745 (0.000745) Accuracy 0.842 (0.842) loss_pose: 0.000226 loss_cons: 0.000519 -2023-07-26 09:56:57,442 Epoch: [46][100/631] Time 1.514s (1.599s) Speed 21.1 samples/s Data 0.000s (0.040s) Loss 0.000828 (0.000713) Accuracy 0.850 (0.845) loss_pose: 0.000276 loss_cons: 0.000552 -2023-07-26 09:59:30,950 Epoch: [46][200/631] Time 1.612s (1.567s) Speed 19.8 samples/s Data 0.000s (0.020s) Loss 0.000691 (0.000722) Accuracy 0.861 (0.844) loss_pose: 0.000239 loss_cons: 0.000452 -2023-07-26 10:02:06,217 Epoch: [46][300/631] Time 1.539s (1.562s) Speed 20.8 samples/s Data 0.000s (0.014s) Loss 0.000768 (0.000720) Accuracy 0.790 (0.845) loss_pose: 0.000272 loss_cons: 0.000496 -2023-07-26 10:04:40,858 Epoch: [46][400/631] Time 1.510s (1.558s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000665 (0.000721) Accuracy 0.868 (0.847) loss_pose: 0.000253 loss_cons: 0.000412 -2023-07-26 10:07:15,590 Epoch: [46][500/631] Time 1.516s (1.556s) Speed 21.1 samples/s Data 0.001s (0.008s) Loss 0.000790 (0.000724) Accuracy 0.827 (0.847) loss_pose: 0.000289 loss_cons: 0.000501 -2023-07-26 10:09:51,353 Epoch: [46][600/631] Time 1.509s (1.556s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000570 (0.000725) Accuracy 0.898 (0.848) loss_pose: 0.000222 loss_cons: 0.000348 -2023-07-26 10:10:36,921 Epoch: [46][630/631] Time 1.545s (1.555s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.000664 (0.000725) Accuracy 0.827 (0.848) loss_pose: 0.000252 loss_cons: 0.000411 -2023-07-26 10:10:43,825 Test: [0/199] Time 4.606 (4.606) Loss 0.0003 (0.0003) Accuracy 0.853 (0.853) -2023-07-26 10:11:04,328 Test: [100/199] Time 0.197 (0.252) Loss 0.0002 (0.0003) Accuracy 0.874 (0.844) -2023-07-26 10:11:22,922 Test: [198/199] Time 0.137 (0.222) Loss 0.0002 (0.0003) Accuracy 0.894 (0.843) -2023-07-26 10:11:24,598 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 10:11:34,012 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:11:34,049 The Predictions of Net 1 -2023-07-26 10:11:34,050 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:11:34,051 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:11:34,051 | 256x192_pose_dual_101_d256d256d256 | 0.6851 | 0.9054 | 0.7698 | 0.6652 | 0.7199 | 0.7187 | 0.9169 | 0.7906 | 0.6889 | 0.7636 | -2023-07-26 10:11:34,747 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 10:11:39,556 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:11:39,590 The Predictions of Net 2 -2023-07-26 10:11:39,591 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:11:39,592 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:11:39,592 | 256x192_pose_dual_101_d256d256d256 | 0.6821 | 0.9052 | 0.7616 | 0.6622 | 0.7183 | 0.7165 | 0.9181 | 0.7897 | 0.6869 | 0.7613 | -2023-07-26 10:11:40,293 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 10:11:45,151 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:11:45,186 Ensemble Predictions -2023-07-26 10:11:45,187 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:11:45,187 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:11:45,187 | 256x192_pose_dual_101_d256d256d256 | 0.6983 | 0.9156 | 0.7825 | 0.6772 | 0.7322 | 0.7295 | 0.9235 | 0.8040 | 0.7002 | 0.7737 | -2023-07-26 10:11:45,188 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 10:11:53,709 Epoch: [47][0/631] Time 5.529s (5.529s) Speed 5.8 samples/s Data 3.841s (3.841s) Loss 0.000723 (0.000723) Accuracy 0.797 (0.797) loss_pose: 0.000233 loss_cons: 0.000491 -2023-07-26 10:14:28,060 Epoch: [47][100/631] Time 1.518s (1.583s) Speed 21.1 samples/s Data 0.000s (0.038s) Loss 0.000707 (0.000719) Accuracy 0.881 (0.846) loss_pose: 0.000229 loss_cons: 0.000478 -2023-07-26 10:17:03,927 Epoch: [47][200/631] Time 1.614s (1.571s) Speed 19.8 samples/s Data 0.000s (0.019s) Loss 0.000710 (0.000715) Accuracy 0.902 (0.849) loss_pose: 0.000210 loss_cons: 0.000500 -2023-07-26 10:19:39,463 Epoch: [47][300/631] Time 1.626s (1.566s) Speed 19.7 samples/s Data 0.000s (0.013s) Loss 0.000666 (0.000714) Accuracy 0.860 (0.849) loss_pose: 0.000214 loss_cons: 0.000452 -2023-07-26 10:22:14,890 Epoch: [47][400/631] Time 1.613s (1.563s) Speed 19.8 samples/s Data 0.000s (0.010s) Loss 0.000775 (0.000718) Accuracy 0.829 (0.848) loss_pose: 0.000271 loss_cons: 0.000504 -2023-07-26 10:24:51,061 Epoch: [47][500/631] Time 1.555s (1.563s) Speed 20.6 samples/s Data 0.000s (0.008s) Loss 0.000779 (0.000716) Accuracy 0.859 (0.849) loss_pose: 0.000236 loss_cons: 0.000543 -2023-07-26 10:27:25,247 Epoch: [47][600/631] Time 1.510s (1.559s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000770 (0.000716) Accuracy 0.860 (0.850) loss_pose: 0.000242 loss_cons: 0.000528 -2023-07-26 10:28:10,619 Epoch: [47][630/631] Time 1.509s (1.557s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000753 (0.000716) Accuracy 0.890 (0.850) loss_pose: 0.000227 loss_cons: 0.000526 -2023-07-26 10:28:18,435 Test: [0/199] Time 5.593 (5.593) Loss 0.0003 (0.0003) Accuracy 0.870 (0.870) -2023-07-26 10:28:38,208 Test: [100/199] Time 0.196 (0.251) Loss 0.0002 (0.0003) Accuracy 0.883 (0.845) -2023-07-26 10:28:56,749 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0003) Accuracy 0.878 (0.844) -2023-07-26 10:28:58,356 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 10:29:09,975 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:29:10,010 The Predictions of Net 1 -2023-07-26 10:29:10,011 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:29:10,012 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:29:10,012 | 256x192_pose_dual_101_d256d256d256 | 0.6881 | 0.9052 | 0.7691 | 0.6664 | 0.7250 | 0.7226 | 0.9191 | 0.7930 | 0.6923 | 0.7680 | -2023-07-26 10:29:10,697 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 10:29:15,453 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:29:15,487 The Predictions of Net 2 -2023-07-26 10:29:15,488 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:29:15,489 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:29:15,489 | 256x192_pose_dual_101_d256d256d256 | 0.6838 | 0.9049 | 0.7691 | 0.6639 | 0.7173 | 0.7195 | 0.9180 | 0.7938 | 0.6903 | 0.7633 | -2023-07-26 10:29:16,174 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 10:29:20,893 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:29:20,929 Ensemble Predictions -2023-07-26 10:29:20,930 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:29:20,931 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:29:20,931 | 256x192_pose_dual_101_d256d256d256 | 0.6989 | 0.9151 | 0.7814 | 0.6781 | 0.7331 | 0.7320 | 0.9232 | 0.8049 | 0.7024 | 0.7765 | -2023-07-26 10:29:20,932 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 10:29:29,975 Epoch: [48][0/631] Time 5.007s (5.007s) Speed 6.4 samples/s Data 3.290s (3.290s) Loss 0.000608 (0.000608) Accuracy 0.890 (0.890) loss_pose: 0.000220 loss_cons: 0.000388 -2023-07-26 10:32:05,183 Epoch: [48][100/631] Time 1.593s (1.586s) Speed 20.1 samples/s Data 0.000s (0.033s) Loss 0.000822 (0.000719) Accuracy 0.797 (0.846) loss_pose: 0.000242 loss_cons: 0.000579 -2023-07-26 10:34:39,224 Epoch: [48][200/631] Time 1.522s (1.563s) Speed 21.0 samples/s Data 0.000s (0.017s) Loss 0.000752 (0.000718) Accuracy 0.883 (0.845) loss_pose: 0.000227 loss_cons: 0.000525 -2023-07-26 10:37:12,972 Epoch: [48][300/631] Time 1.529s (1.555s) Speed 20.9 samples/s Data 0.001s (0.011s) Loss 0.000785 (0.000721) Accuracy 0.809 (0.846) loss_pose: 0.000278 loss_cons: 0.000508 -2023-07-26 10:39:47,201 Epoch: [48][400/631] Time 1.517s (1.552s) Speed 21.1 samples/s Data 0.001s (0.009s) Loss 0.000747 (0.000720) Accuracy 0.836 (0.847) loss_pose: 0.000272 loss_cons: 0.000475 -2023-07-26 10:42:20,976 Epoch: [48][500/631] Time 1.614s (1.549s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000754 (0.000720) Accuracy 0.823 (0.847) loss_pose: 0.000261 loss_cons: 0.000492 -2023-07-26 10:44:54,161 Epoch: [48][600/631] Time 1.506s (1.546s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000745 (0.000718) Accuracy 0.859 (0.848) loss_pose: 0.000244 loss_cons: 0.000502 -2023-07-26 10:45:39,565 Epoch: [48][630/631] Time 1.511s (1.545s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000753 (0.000719) Accuracy 0.825 (0.848) loss_pose: 0.000286 loss_cons: 0.000466 -2023-07-26 10:45:45,608 Test: [0/199] Time 3.853 (3.853) Loss 0.0003 (0.0003) Accuracy 0.841 (0.841) -2023-07-26 10:46:06,639 Test: [100/199] Time 0.206 (0.249) Loss 0.0003 (0.0003) Accuracy 0.880 (0.844) -2023-07-26 10:46:25,318 Test: [198/199] Time 0.135 (0.220) Loss 0.0002 (0.0003) Accuracy 0.893 (0.843) -2023-07-26 10:46:27,171 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 10:46:36,826 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:46:36,869 The Predictions of Net 1 -2023-07-26 10:46:36,869 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:46:36,870 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:46:36,870 | 256x192_pose_dual_101_d256d256d256 | 0.6843 | 0.9051 | 0.7614 | 0.6618 | 0.7242 | 0.7193 | 0.9169 | 0.7898 | 0.6872 | 0.7674 | -2023-07-26 10:46:37,563 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 10:46:42,297 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:46:42,329 The Predictions of Net 2 -2023-07-26 10:46:42,330 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:46:42,330 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:46:42,330 | 256x192_pose_dual_101_d256d256d256 | 0.6850 | 0.9054 | 0.7695 | 0.6634 | 0.7212 | 0.7191 | 0.9180 | 0.7916 | 0.6892 | 0.7638 | -2023-07-26 10:46:45,063 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 10:46:49,878 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 10:46:49,914 Ensemble Predictions -2023-07-26 10:46:49,915 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 10:46:49,915 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 10:46:49,915 | 256x192_pose_dual_101_d256d256d256 | 0.6980 | 0.9149 | 0.7815 | 0.6785 | 0.7329 | 0.7314 | 0.9214 | 0.8045 | 0.7021 | 0.7755 | -2023-07-26 10:46:49,916 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 10:46:58,848 Epoch: [49][0/631] Time 5.855s (5.855s) Speed 5.5 samples/s Data 4.218s (4.218s) Loss 0.000679 (0.000679) Accuracy 0.897 (0.897) loss_pose: 0.000199 loss_cons: 0.000480 -2023-07-26 10:49:34,125 Epoch: [49][100/631] Time 1.609s (1.595s) Speed 19.9 samples/s Data 0.000s (0.042s) Loss 0.000635 (0.000720) Accuracy 0.840 (0.844) loss_pose: 0.000271 loss_cons: 0.000364 -2023-07-26 10:52:10,800 Epoch: [49][200/631] Time 1.519s (1.581s) Speed 21.1 samples/s Data 0.001s (0.021s) Loss 0.000781 (0.000717) Accuracy 0.835 (0.846) loss_pose: 0.000270 loss_cons: 0.000511 -2023-07-26 10:54:46,537 Epoch: [49][300/631] Time 1.523s (1.573s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000800 (0.000714) Accuracy 0.859 (0.848) loss_pose: 0.000232 loss_cons: 0.000568 -2023-07-26 10:57:20,736 Epoch: [49][400/631] Time 1.630s (1.565s) Speed 19.6 samples/s Data 0.000s (0.011s) Loss 0.000715 (0.000718) Accuracy 0.824 (0.848) loss_pose: 0.000292 loss_cons: 0.000423 -2023-07-26 10:59:54,278 Epoch: [49][500/631] Time 1.528s (1.559s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000777 (0.000716) Accuracy 0.830 (0.850) loss_pose: 0.000281 loss_cons: 0.000496 -2023-07-26 11:02:27,071 Epoch: [49][600/631] Time 1.512s (1.554s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000761 (0.000717) Accuracy 0.861 (0.849) loss_pose: 0.000256 loss_cons: 0.000504 -2023-07-26 11:03:14,271 Epoch: [49][630/631] Time 1.591s (1.555s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000561 (0.000717) Accuracy 0.847 (0.849) loss_pose: 0.000234 loss_cons: 0.000326 -2023-07-26 11:03:21,714 Test: [0/199] Time 5.010 (5.010) Loss 0.0002 (0.0002) Accuracy 0.884 (0.884) -2023-07-26 11:03:42,176 Test: [100/199] Time 0.199 (0.254) Loss 0.0002 (0.0003) Accuracy 0.892 (0.847) -2023-07-26 11:04:00,899 Test: [198/199] Time 0.145 (0.223) Loss 0.0002 (0.0003) Accuracy 0.927 (0.846) -2023-07-26 11:04:02,863 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 11:04:12,704 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:04:12,738 The Predictions of Net 1 -2023-07-26 11:04:12,739 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:04:12,739 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:04:12,739 | 256x192_pose_dual_101_d256d256d256 | 0.6941 | 0.9143 | 0.7803 | 0.6725 | 0.7288 | 0.7267 | 0.9203 | 0.8016 | 0.6963 | 0.7726 | -2023-07-26 11:04:13,426 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 11:04:18,275 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:04:18,311 The Predictions of Net 2 -2023-07-26 11:04:18,312 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:04:18,312 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:04:18,312 | 256x192_pose_dual_101_d256d256d256 | 0.6852 | 0.9048 | 0.7708 | 0.6645 | 0.7241 | 0.7210 | 0.9186 | 0.7941 | 0.6890 | 0.7684 | -2023-07-26 11:04:19,001 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 11:04:23,761 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:04:23,795 Ensemble Predictions -2023-07-26 11:04:23,796 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:04:23,796 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:04:23,796 | 256x192_pose_dual_101_d256d256d256 | 0.7017 | 0.9152 | 0.7822 | 0.6827 | 0.7392 | 0.7363 | 0.9249 | 0.8087 | 0.7063 | 0.7815 | -2023-07-26 11:04:23,797 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 11:04:36,446 Epoch: [50][0/631] Time 8.383s (8.383s) Speed 3.8 samples/s Data 4.087s (4.087s) Loss 0.000638 (0.000638) Accuracy 0.862 (0.862) loss_pose: 0.000210 loss_cons: 0.000428 -2023-07-26 11:07:10,622 Epoch: [50][100/631] Time 1.520s (1.609s) Speed 21.1 samples/s Data 0.000s (0.041s) Loss 0.000617 (0.000710) Accuracy 0.930 (0.851) loss_pose: 0.000188 loss_cons: 0.000429 -2023-07-26 11:09:46,162 Epoch: [50][200/631] Time 1.514s (1.583s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000739 (0.000717) Accuracy 0.832 (0.845) loss_pose: 0.000241 loss_cons: 0.000498 -2023-07-26 11:12:25,500 Epoch: [50][300/631] Time 1.605s (1.586s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000756 (0.000718) Accuracy 0.865 (0.847) loss_pose: 0.000247 loss_cons: 0.000509 -2023-07-26 11:15:11,498 Epoch: [50][400/631] Time 1.562s (1.605s) Speed 20.5 samples/s Data 0.000s (0.011s) Loss 0.000723 (0.000719) Accuracy 0.898 (0.847) loss_pose: 0.000209 loss_cons: 0.000514 -2023-07-26 11:17:46,296 Epoch: [50][500/631] Time 1.599s (1.593s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000627 (0.000721) Accuracy 0.857 (0.847) loss_pose: 0.000251 loss_cons: 0.000376 -2023-07-26 11:20:22,425 Epoch: [50][600/631] Time 1.602s (1.588s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000669 (0.000720) Accuracy 0.871 (0.848) loss_pose: 0.000237 loss_cons: 0.000432 -2023-07-26 11:21:10,493 Epoch: [50][630/631] Time 1.601s (1.589s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000769 (0.000720) Accuracy 0.784 (0.848) loss_pose: 0.000281 loss_cons: 0.000488 -2023-07-26 11:21:18,115 Test: [0/199] Time 5.269 (5.269) Loss 0.0002 (0.0002) Accuracy 0.882 (0.882) -2023-07-26 11:21:38,006 Test: [100/199] Time 0.194 (0.250) Loss 0.0002 (0.0003) Accuracy 0.890 (0.851) -2023-07-26 11:21:56,598 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0003) Accuracy 0.891 (0.848) -2023-07-26 11:21:58,663 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 11:22:08,105 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:22:08,139 The Predictions of Net 1 -2023-07-26 11:22:08,140 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:22:08,141 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:22:08,141 | 256x192_pose_dual_101_d256d256d256 | 0.6968 | 0.9149 | 0.7798 | 0.6745 | 0.7298 | 0.7286 | 0.9214 | 0.8015 | 0.6980 | 0.7747 | -2023-07-26 11:22:08,833 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 11:22:13,534 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:22:13,567 The Predictions of Net 2 -2023-07-26 11:22:13,568 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:22:13,569 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:22:13,569 | 256x192_pose_dual_101_d256d256d256 | 0.6913 | 0.9145 | 0.7712 | 0.6724 | 0.7263 | 0.7246 | 0.9214 | 0.7946 | 0.6944 | 0.7698 | -2023-07-26 11:22:14,255 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 11:22:19,048 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:22:19,083 Ensemble Predictions -2023-07-26 11:22:19,084 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:22:19,084 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:22:19,084 | 256x192_pose_dual_101_d256d256d256 | 0.7042 | 0.9151 | 0.7914 | 0.6824 | 0.7399 | 0.7377 | 0.9246 | 0.8112 | 0.7079 | 0.7828 | -2023-07-26 11:22:19,085 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 11:22:28,752 Epoch: [51][0/631] Time 5.711s (5.711s) Speed 5.6 samples/s Data 4.008s (4.008s) Loss 0.000605 (0.000605) Accuracy 0.879 (0.879) loss_pose: 0.000210 loss_cons: 0.000394 -2023-07-26 11:25:04,857 Epoch: [51][100/631] Time 1.517s (1.602s) Speed 21.1 samples/s Data 0.000s (0.040s) Loss 0.000723 (0.000711) Accuracy 0.876 (0.852) loss_pose: 0.000237 loss_cons: 0.000486 -2023-07-26 11:27:40,216 Epoch: [51][200/631] Time 1.529s (1.578s) Speed 20.9 samples/s Data 0.000s (0.020s) Loss 0.000674 (0.000710) Accuracy 0.834 (0.852) loss_pose: 0.000251 loss_cons: 0.000423 -2023-07-26 11:30:13,827 Epoch: [51][300/631] Time 1.601s (1.564s) Speed 20.0 samples/s Data 0.000s (0.014s) Loss 0.000726 (0.000709) Accuracy 0.877 (0.853) loss_pose: 0.000231 loss_cons: 0.000495 -2023-07-26 11:32:49,425 Epoch: [51][400/631] Time 1.592s (1.562s) Speed 20.1 samples/s Data 0.000s (0.010s) Loss 0.000722 (0.000709) Accuracy 0.883 (0.853) loss_pose: 0.000250 loss_cons: 0.000471 -2023-07-26 11:35:23,970 Epoch: [51][500/631] Time 1.511s (1.559s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000708 (0.000710) Accuracy 0.832 (0.852) loss_pose: 0.000277 loss_cons: 0.000431 -2023-07-26 11:37:58,474 Epoch: [51][600/631] Time 1.609s (1.556s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000716 (0.000711) Accuracy 0.826 (0.851) loss_pose: 0.000266 loss_cons: 0.000450 -2023-07-26 11:38:45,082 Epoch: [51][630/631] Time 1.520s (1.556s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000700 (0.000711) Accuracy 0.830 (0.852) loss_pose: 0.000275 loss_cons: 0.000425 -2023-07-26 11:38:51,833 Test: [0/199] Time 4.216 (4.216) Loss 0.0002 (0.0002) Accuracy 0.860 (0.860) -2023-07-26 11:39:12,547 Test: [100/199] Time 0.191 (0.249) Loss 0.0002 (0.0002) Accuracy 0.860 (0.848) -2023-07-26 11:39:31,189 Test: [198/199] Time 0.135 (0.220) Loss 0.0002 (0.0003) Accuracy 0.893 (0.847) -2023-07-26 11:39:32,871 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 11:39:44,231 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:39:44,267 The Predictions of Net 1 -2023-07-26 11:39:44,267 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:39:44,268 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:39:44,268 | 256x192_pose_dual_101_d256d256d256 | 0.6948 | 0.9157 | 0.7703 | 0.6736 | 0.7306 | 0.7285 | 0.9268 | 0.7957 | 0.6971 | 0.7754 | -2023-07-26 11:39:44,954 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 11:39:49,686 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:39:49,720 The Predictions of Net 2 -2023-07-26 11:39:49,721 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:39:49,721 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:39:49,721 | 256x192_pose_dual_101_d256d256d256 | 0.6869 | 0.9047 | 0.7698 | 0.6672 | 0.7233 | 0.7216 | 0.9175 | 0.7925 | 0.6913 | 0.7671 | -2023-07-26 11:39:50,406 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 11:39:55,152 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:39:55,190 Ensemble Predictions -2023-07-26 11:39:55,191 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:39:55,192 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:39:55,192 | 256x192_pose_dual_101_d256d256d256 | 0.7023 | 0.9156 | 0.7825 | 0.6812 | 0.7400 | 0.7360 | 0.9260 | 0.8070 | 0.7054 | 0.7823 | -2023-07-26 11:39:55,193 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 11:40:04,264 Epoch: [52][0/631] Time 6.136s (6.136s) Speed 5.2 samples/s Data 4.414s (4.414s) Loss 0.000654 (0.000654) Accuracy 0.855 (0.855) loss_pose: 0.000254 loss_cons: 0.000400 -2023-07-26 11:42:39,341 Epoch: [52][100/631] Time 1.619s (1.596s) Speed 19.8 samples/s Data 0.000s (0.044s) Loss 0.000613 (0.000691) Accuracy 0.867 (0.851) loss_pose: 0.000242 loss_cons: 0.000371 -2023-07-26 11:45:14,750 Epoch: [52][200/631] Time 1.533s (1.575s) Speed 20.9 samples/s Data 0.000s (0.022s) Loss 0.000728 (0.000701) Accuracy 0.857 (0.851) loss_pose: 0.000207 loss_cons: 0.000521 -2023-07-26 11:47:49,960 Epoch: [52][300/631] Time 1.515s (1.568s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000879 (0.000705) Accuracy 0.833 (0.851) loss_pose: 0.000300 loss_cons: 0.000579 -2023-07-26 11:50:23,332 Epoch: [52][400/631] Time 1.518s (1.559s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000715 (0.000709) Accuracy 0.837 (0.850) loss_pose: 0.000226 loss_cons: 0.000489 -2023-07-26 11:52:57,881 Epoch: [52][500/631] Time 1.602s (1.556s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000788 (0.000716) Accuracy 0.764 (0.847) loss_pose: 0.000320 loss_cons: 0.000468 -2023-07-26 11:55:32,679 Epoch: [52][600/631] Time 1.521s (1.555s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000811 (0.000718) Accuracy 0.823 (0.846) loss_pose: 0.000276 loss_cons: 0.000535 -2023-07-26 11:56:18,222 Epoch: [52][630/631] Time 1.525s (1.553s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000720 (0.000718) Accuracy 0.827 (0.845) loss_pose: 0.000266 loss_cons: 0.000453 -2023-07-26 11:56:25,760 Test: [0/199] Time 5.503 (5.503) Loss 0.0003 (0.0003) Accuracy 0.881 (0.881) -2023-07-26 11:56:45,872 Test: [100/199] Time 0.200 (0.254) Loss 0.0003 (0.0003) Accuracy 0.888 (0.845) -2023-07-26 11:57:04,723 Test: [198/199] Time 0.217 (0.224) Loss 0.0002 (0.0003) Accuracy 0.851 (0.844) -2023-07-26 11:57:06,061 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 11:57:15,543 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:57:15,582 The Predictions of Net 1 -2023-07-26 11:57:15,583 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:57:15,583 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:57:15,583 | 256x192_pose_dual_101_d256d256d256 | 0.6836 | 0.9047 | 0.7679 | 0.6615 | 0.7196 | 0.7185 | 0.9166 | 0.7909 | 0.6875 | 0.7649 | -2023-07-26 11:57:16,276 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 11:57:23,283 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:57:23,319 The Predictions of Net 2 -2023-07-26 11:57:23,320 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:57:23,320 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:57:23,320 | 256x192_pose_dual_101_d256d256d256 | 0.6887 | 0.9053 | 0.7713 | 0.6692 | 0.7264 | 0.7231 | 0.9189 | 0.7979 | 0.6930 | 0.7682 | -2023-07-26 11:57:24,004 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 11:57:28,742 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 11:57:28,778 Ensemble Predictions -2023-07-26 11:57:28,779 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 11:57:28,779 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 11:57:28,780 | 256x192_pose_dual_101_d256d256d256 | 0.6983 | 0.9151 | 0.7809 | 0.6762 | 0.7336 | 0.7314 | 0.9243 | 0.8049 | 0.7007 | 0.7770 | -2023-07-26 11:57:28,781 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 11:57:37,132 Epoch: [53][0/631] Time 5.401s (5.401s) Speed 5.9 samples/s Data 3.710s (3.710s) Loss 0.000816 (0.000816) Accuracy 0.828 (0.828) loss_pose: 0.000302 loss_cons: 0.000514 -2023-07-26 12:00:11,852 Epoch: [53][100/631] Time 1.520s (1.585s) Speed 21.1 samples/s Data 0.000s (0.037s) Loss 0.000688 (0.000715) Accuracy 0.849 (0.832) loss_pose: 0.000254 loss_cons: 0.000433 -2023-07-26 12:02:45,587 Epoch: [53][200/631] Time 1.590s (1.561s) Speed 20.1 samples/s Data 0.000s (0.019s) Loss 0.000736 (0.000711) Accuracy 0.856 (0.841) loss_pose: 0.000258 loss_cons: 0.000477 -2023-07-26 12:05:20,501 Epoch: [53][300/631] Time 1.522s (1.557s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000781 (0.000705) Accuracy 0.842 (0.846) loss_pose: 0.000269 loss_cons: 0.000512 -2023-07-26 12:07:53,686 Epoch: [53][400/631] Time 1.527s (1.551s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000630 (0.000705) Accuracy 0.908 (0.847) loss_pose: 0.000197 loss_cons: 0.000432 -2023-07-26 12:10:28,204 Epoch: [53][500/631] Time 1.516s (1.550s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000625 (0.000706) Accuracy 0.871 (0.847) loss_pose: 0.000225 loss_cons: 0.000400 -2023-07-26 12:13:02,364 Epoch: [53][600/631] Time 1.530s (1.548s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000700 (0.000708) Accuracy 0.848 (0.847) loss_pose: 0.000241 loss_cons: 0.000459 -2023-07-26 12:13:47,768 Epoch: [53][630/631] Time 1.514s (1.547s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000711 (0.000708) Accuracy 0.828 (0.847) loss_pose: 0.000246 loss_cons: 0.000465 -2023-07-26 12:13:55,516 Test: [0/199] Time 5.736 (5.736) Loss 0.0002 (0.0002) Accuracy 0.883 (0.883) -2023-07-26 12:14:15,562 Test: [100/199] Time 0.204 (0.255) Loss 0.0002 (0.0002) Accuracy 0.908 (0.849) -2023-07-26 12:14:34,433 Test: [198/199] Time 0.194 (0.224) Loss 0.0002 (0.0002) Accuracy 0.904 (0.846) -2023-07-26 12:14:36,093 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 12:14:45,859 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:14:45,900 The Predictions of Net 1 -2023-07-26 12:14:45,900 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:14:45,901 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:14:45,901 | 256x192_pose_dual_101_d256d256d256 | 0.6947 | 0.9151 | 0.7712 | 0.6701 | 0.7310 | 0.7257 | 0.9208 | 0.7939 | 0.6940 | 0.7733 | -2023-07-26 12:14:46,597 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 12:14:51,327 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:14:51,359 The Predictions of Net 2 -2023-07-26 12:14:51,360 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:14:51,361 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:14:51,361 | 256x192_pose_dual_101_d256d256d256 | 0.6959 | 0.9155 | 0.7813 | 0.6746 | 0.7317 | 0.7286 | 0.9233 | 0.8002 | 0.6986 | 0.7734 | -2023-07-26 12:14:52,052 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 12:14:59,028 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:14:59,079 Ensemble Predictions -2023-07-26 12:14:59,080 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:14:59,080 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:14:59,080 | 256x192_pose_dual_101_d256d256d256 | 0.7088 | 0.9160 | 0.7921 | 0.6867 | 0.7443 | 0.7400 | 0.9279 | 0.8109 | 0.7105 | 0.7842 | -2023-07-26 12:14:59,082 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 12:15:08,342 Epoch: [54][0/631] Time 5.214s (5.214s) Speed 6.1 samples/s Data 3.539s (3.539s) Loss 0.000688 (0.000688) Accuracy 0.836 (0.836) loss_pose: 0.000245 loss_cons: 0.000443 -2023-07-26 12:17:43,063 Epoch: [54][100/631] Time 1.518s (1.584s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000695 (0.000705) Accuracy 0.852 (0.847) loss_pose: 0.000238 loss_cons: 0.000457 -2023-07-26 12:20:19,367 Epoch: [54][200/631] Time 1.527s (1.573s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000763 (0.000703) Accuracy 0.784 (0.848) loss_pose: 0.000283 loss_cons: 0.000480 -2023-07-26 12:22:54,512 Epoch: [54][300/631] Time 1.524s (1.566s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000670 (0.000705) Accuracy 0.838 (0.849) loss_pose: 0.000255 loss_cons: 0.000416 -2023-07-26 12:25:28,990 Epoch: [54][400/631] Time 1.591s (1.561s) Speed 20.1 samples/s Data 0.000s (0.009s) Loss 0.000749 (0.000705) Accuracy 0.879 (0.851) loss_pose: 0.000245 loss_cons: 0.000503 -2023-07-26 12:28:03,630 Epoch: [54][500/631] Time 1.513s (1.558s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000710 (0.000702) Accuracy 0.869 (0.852) loss_pose: 0.000257 loss_cons: 0.000453 -2023-07-26 12:30:38,842 Epoch: [54][600/631] Time 1.601s (1.557s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000708 (0.000702) Accuracy 0.903 (0.852) loss_pose: 0.000206 loss_cons: 0.000502 -2023-07-26 12:31:24,706 Epoch: [54][630/631] Time 1.510s (1.556s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000679 (0.000703) Accuracy 0.869 (0.852) loss_pose: 0.000205 loss_cons: 0.000473 -2023-07-26 12:31:33,208 Test: [0/199] Time 6.387 (6.387) Loss 0.0002 (0.0002) Accuracy 0.886 (0.886) -2023-07-26 12:31:53,050 Test: [100/199] Time 0.204 (0.260) Loss 0.0002 (0.0002) Accuracy 0.898 (0.850) -2023-07-26 12:32:12,037 Test: [198/199] Time 0.315 (0.227) Loss 0.0002 (0.0002) Accuracy 0.940 (0.849) -2023-07-26 12:32:13,428 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 12:32:22,800 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:32:22,842 The Predictions of Net 1 -2023-07-26 12:32:22,844 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:32:22,844 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:32:22,844 | 256x192_pose_dual_101_d256d256d256 | 0.6953 | 0.9147 | 0.7722 | 0.6757 | 0.7295 | 0.7277 | 0.9213 | 0.7979 | 0.6978 | 0.7725 | -2023-07-26 12:32:23,545 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 12:32:28,295 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:32:28,328 The Predictions of Net 2 -2023-07-26 12:32:28,329 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:32:28,330 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:32:28,330 | 256x192_pose_dual_101_d256d256d256 | 0.6947 | 0.9146 | 0.7727 | 0.6723 | 0.7302 | 0.7270 | 0.9208 | 0.7996 | 0.6957 | 0.7737 | -2023-07-26 12:32:29,015 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 12:32:33,854 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:32:33,890 Ensemble Predictions -2023-07-26 12:32:33,890 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:32:33,891 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:32:33,891 | 256x192_pose_dual_101_d256d256d256 | 0.7084 | 0.9153 | 0.7932 | 0.6872 | 0.7447 | 0.7397 | 0.9255 | 0.8133 | 0.7098 | 0.7847 | -2023-07-26 12:32:33,892 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 12:32:42,842 Epoch: [55][0/631] Time 5.959s (5.959s) Speed 5.4 samples/s Data 4.246s (4.246s) Loss 0.000705 (0.000705) Accuracy 0.828 (0.828) loss_pose: 0.000275 loss_cons: 0.000430 -2023-07-26 12:35:17,269 Epoch: [55][100/631] Time 1.533s (1.588s) Speed 20.9 samples/s Data 0.000s (0.042s) Loss 0.000739 (0.000691) Accuracy 0.840 (0.850) loss_pose: 0.000276 loss_cons: 0.000464 -2023-07-26 12:37:52,024 Epoch: [55][200/631] Time 1.600s (1.568s) Speed 20.0 samples/s Data 0.000s (0.022s) Loss 0.000765 (0.000696) Accuracy 0.833 (0.852) loss_pose: 0.000259 loss_cons: 0.000506 -2023-07-26 12:40:25,485 Epoch: [55][300/631] Time 1.516s (1.557s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000759 (0.000699) Accuracy 0.832 (0.852) loss_pose: 0.000303 loss_cons: 0.000457 -2023-07-26 12:43:01,334 Epoch: [55][400/631] Time 1.605s (1.557s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000639 (0.000701) Accuracy 0.871 (0.851) loss_pose: 0.000235 loss_cons: 0.000404 -2023-07-26 12:45:35,573 Epoch: [55][500/631] Time 1.524s (1.554s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000773 (0.000701) Accuracy 0.887 (0.852) loss_pose: 0.000211 loss_cons: 0.000562 -2023-07-26 12:48:08,673 Epoch: [55][600/631] Time 1.505s (1.550s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000755 (0.000699) Accuracy 0.820 (0.852) loss_pose: 0.000283 loss_cons: 0.000472 -2023-07-26 12:48:54,083 Epoch: [55][630/631] Time 1.514s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000632 (0.000699) Accuracy 0.843 (0.853) loss_pose: 0.000257 loss_cons: 0.000375 -2023-07-26 12:49:02,102 Test: [0/199] Time 5.936 (5.936) Loss 0.0002 (0.0002) Accuracy 0.870 (0.870) -2023-07-26 12:49:21,918 Test: [100/199] Time 0.201 (0.255) Loss 0.0002 (0.0002) Accuracy 0.907 (0.850) -2023-07-26 12:49:40,547 Test: [198/199] Time 0.141 (0.223) Loss 0.0002 (0.0003) Accuracy 0.895 (0.848) -2023-07-26 12:49:46,162 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 12:49:54,208 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:49:54,245 The Predictions of Net 1 -2023-07-26 12:49:54,246 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:49:54,247 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:49:54,247 | 256x192_pose_dual_101_d256d256d256 | 0.6969 | 0.9053 | 0.7813 | 0.6701 | 0.7370 | 0.7292 | 0.9183 | 0.8005 | 0.6949 | 0.7802 | -2023-07-26 12:49:54,931 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 12:49:59,645 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:49:59,679 The Predictions of Net 2 -2023-07-26 12:49:59,680 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:49:59,680 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:49:59,680 | 256x192_pose_dual_101_d256d256d256 | 0.6963 | 0.9156 | 0.7802 | 0.6734 | 0.7332 | 0.7293 | 0.9243 | 0.8013 | 0.6977 | 0.7763 | -2023-07-26 12:50:00,368 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 12:50:05,224 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 12:50:05,264 Ensemble Predictions -2023-07-26 12:50:05,265 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 12:50:05,265 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 12:50:05,265 | 256x192_pose_dual_101_d256d256d256 | 0.7107 | 0.9159 | 0.7926 | 0.6841 | 0.7498 | 0.7420 | 0.9263 | 0.8131 | 0.7089 | 0.7913 | -2023-07-26 12:50:05,266 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 12:50:14,959 Epoch: [56][0/631] Time 5.542s (5.542s) Speed 5.8 samples/s Data 3.821s (3.821s) Loss 0.000707 (0.000707) Accuracy 0.872 (0.872) loss_pose: 0.000238 loss_cons: 0.000469 -2023-07-26 12:52:49,765 Epoch: [56][100/631] Time 1.554s (1.588s) Speed 20.6 samples/s Data 0.000s (0.038s) Loss 0.000616 (0.000694) Accuracy 0.865 (0.858) loss_pose: 0.000241 loss_cons: 0.000375 -2023-07-26 12:55:24,226 Epoch: [56][200/631] Time 1.597s (1.566s) Speed 20.0 samples/s Data 0.000s (0.019s) Loss 0.000782 (0.000695) Accuracy 0.855 (0.860) loss_pose: 0.000255 loss_cons: 0.000528 -2023-07-26 12:57:58,772 Epoch: [56][300/631] Time 1.594s (1.559s) Speed 20.1 samples/s Data 0.000s (0.013s) Loss 0.000579 (0.000693) Accuracy 0.909 (0.859) loss_pose: 0.000190 loss_cons: 0.000389 -2023-07-26 13:00:35,148 Epoch: [56][400/631] Time 1.607s (1.560s) Speed 19.9 samples/s Data 0.000s (0.010s) Loss 0.000632 (0.000695) Accuracy 0.886 (0.858) loss_pose: 0.000206 loss_cons: 0.000426 -2023-07-26 13:03:08,874 Epoch: [56][500/631] Time 1.520s (1.556s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000700 (0.000694) Accuracy 0.879 (0.857) loss_pose: 0.000239 loss_cons: 0.000461 -2023-07-26 13:05:43,637 Epoch: [56][600/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000660 (0.000695) Accuracy 0.855 (0.857) loss_pose: 0.000280 loss_cons: 0.000380 -2023-07-26 13:06:28,996 Epoch: [56][630/631] Time 1.511s (1.552s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000679 (0.000696) Accuracy 0.837 (0.857) loss_pose: 0.000222 loss_cons: 0.000456 -2023-07-26 13:06:35,599 Test: [0/199] Time 4.144 (4.144) Loss 0.0002 (0.0002) Accuracy 0.901 (0.901) -2023-07-26 13:06:56,328 Test: [100/199] Time 0.199 (0.248) Loss 0.0002 (0.0002) Accuracy 0.889 (0.851) -2023-07-26 13:07:14,924 Test: [198/199] Time 0.135 (0.220) Loss 0.0002 (0.0002) Accuracy 0.893 (0.849) -2023-07-26 13:07:16,416 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 13:07:25,834 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:07:25,883 The Predictions of Net 1 -2023-07-26 13:07:25,884 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:07:25,885 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:07:25,885 | 256x192_pose_dual_101_d256d256d256 | 0.6944 | 0.9152 | 0.7728 | 0.6714 | 0.7342 | 0.7271 | 0.9213 | 0.7980 | 0.6946 | 0.7759 | -2023-07-26 13:07:28,671 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 13:07:33,454 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:07:33,487 The Predictions of Net 2 -2023-07-26 13:07:33,487 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:07:33,488 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:07:33,488 | 256x192_pose_dual_101_d256d256d256 | 0.7000 | 0.9149 | 0.7827 | 0.6745 | 0.7373 | 0.7307 | 0.9229 | 0.8048 | 0.6989 | 0.7784 | -2023-07-26 13:07:34,178 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 13:07:38,922 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:07:38,956 Ensemble Predictions -2023-07-26 13:07:38,956 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:07:38,957 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:07:38,957 | 256x192_pose_dual_101_d256d256d256 | 0.7087 | 0.9157 | 0.7935 | 0.6847 | 0.7477 | 0.7402 | 0.9270 | 0.8108 | 0.7090 | 0.7870 | -2023-07-26 13:07:38,958 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 13:07:49,052 Epoch: [57][0/631] Time 6.043s (6.043s) Speed 5.3 samples/s Data 4.274s (4.274s) Loss 0.000671 (0.000671) Accuracy 0.864 (0.864) loss_pose: 0.000234 loss_cons: 0.000437 -2023-07-26 13:10:24,088 Epoch: [57][100/631] Time 1.521s (1.595s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000570 (0.000686) Accuracy 0.884 (0.853) loss_pose: 0.000228 loss_cons: 0.000341 -2023-07-26 13:12:59,350 Epoch: [57][200/631] Time 1.517s (1.574s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000670 (0.000696) Accuracy 0.860 (0.851) loss_pose: 0.000230 loss_cons: 0.000439 -2023-07-26 13:15:34,449 Epoch: [57][300/631] Time 1.610s (1.566s) Speed 19.9 samples/s Data 0.000s (0.015s) Loss 0.000762 (0.000697) Accuracy 0.815 (0.850) loss_pose: 0.000266 loss_cons: 0.000496 -2023-07-26 13:18:08,380 Epoch: [57][400/631] Time 1.517s (1.560s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000671 (0.000698) Accuracy 0.849 (0.851) loss_pose: 0.000240 loss_cons: 0.000431 -2023-07-26 13:20:41,632 Epoch: [57][500/631] Time 1.516s (1.554s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000707 (0.000696) Accuracy 0.828 (0.852) loss_pose: 0.000268 loss_cons: 0.000439 -2023-07-26 13:23:15,236 Epoch: [57][600/631] Time 1.509s (1.551s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000675 (0.000696) Accuracy 0.850 (0.853) loss_pose: 0.000260 loss_cons: 0.000415 -2023-07-26 13:24:00,702 Epoch: [57][630/631] Time 1.503s (1.549s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000667 (0.000697) Accuracy 0.919 (0.853) loss_pose: 0.000204 loss_cons: 0.000463 -2023-07-26 13:24:07,391 Test: [0/199] Time 4.539 (4.539) Loss 0.0002 (0.0002) Accuracy 0.885 (0.885) -2023-07-26 13:24:28,217 Test: [100/199] Time 0.199 (0.252) Loss 0.0002 (0.0003) Accuracy 0.889 (0.852) -2023-07-26 13:24:46,947 Test: [198/199] Time 0.137 (0.222) Loss 0.0002 (0.0003) Accuracy 0.884 (0.849) -2023-07-26 13:24:48,838 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 13:24:58,641 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:24:58,694 The Predictions of Net 1 -2023-07-26 13:24:58,695 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:24:58,695 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:24:58,695 | 256x192_pose_dual_101_d256d256d256 | 0.6951 | 0.9149 | 0.7799 | 0.6733 | 0.7287 | 0.7283 | 0.9227 | 0.8004 | 0.7001 | 0.7712 | -2023-07-26 13:24:59,390 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 13:25:06,377 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:25:06,413 The Predictions of Net 2 -2023-07-26 13:25:06,414 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:25:06,414 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:25:06,415 | 256x192_pose_dual_101_d256d256d256 | 0.6933 | 0.9148 | 0.7814 | 0.6705 | 0.7281 | 0.7272 | 0.9216 | 0.8013 | 0.6974 | 0.7721 | -2023-07-26 13:25:07,104 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 13:25:11,882 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:25:11,918 Ensemble Predictions -2023-07-26 13:25:11,919 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:25:11,919 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:25:11,919 | 256x192_pose_dual_101_d256d256d256 | 0.7044 | 0.9157 | 0.7932 | 0.6859 | 0.7409 | 0.7393 | 0.9268 | 0.8131 | 0.7112 | 0.7822 | -2023-07-26 13:25:11,920 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 13:25:20,136 Epoch: [58][0/631] Time 5.195s (5.195s) Speed 6.2 samples/s Data 3.510s (3.510s) Loss 0.000737 (0.000737) Accuracy 0.861 (0.861) loss_pose: 0.000243 loss_cons: 0.000494 -2023-07-26 13:27:54,296 Epoch: [58][100/631] Time 1.518s (1.578s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000708 (0.000688) Accuracy 0.816 (0.857) loss_pose: 0.000255 loss_cons: 0.000453 -2023-07-26 13:30:29,121 Epoch: [58][200/631] Time 1.611s (1.563s) Speed 19.9 samples/s Data 0.000s (0.018s) Loss 0.000760 (0.000685) Accuracy 0.827 (0.858) loss_pose: 0.000263 loss_cons: 0.000496 -2023-07-26 13:33:03,631 Epoch: [58][300/631] Time 1.636s (1.557s) Speed 19.6 samples/s Data 0.000s (0.012s) Loss 0.000689 (0.000687) Accuracy 0.875 (0.858) loss_pose: 0.000258 loss_cons: 0.000431 -2023-07-26 13:35:38,045 Epoch: [58][400/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000710 (0.000692) Accuracy 0.841 (0.857) loss_pose: 0.000241 loss_cons: 0.000469 -2023-07-26 13:38:15,103 Epoch: [58][500/631] Time 1.517s (1.557s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000650 (0.000692) Accuracy 0.830 (0.858) loss_pose: 0.000260 loss_cons: 0.000390 -2023-07-26 13:40:49,203 Epoch: [58][600/631] Time 1.512s (1.555s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000682 (0.000693) Accuracy 0.870 (0.857) loss_pose: 0.000230 loss_cons: 0.000452 -2023-07-26 13:41:34,676 Epoch: [58][630/631] Time 1.519s (1.553s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000656 (0.000694) Accuracy 0.885 (0.857) loss_pose: 0.000244 loss_cons: 0.000411 -2023-07-26 13:41:41,735 Test: [0/199] Time 4.889 (4.889) Loss 0.0002 (0.0002) Accuracy 0.873 (0.873) -2023-07-26 13:42:01,962 Test: [100/199] Time 0.204 (0.249) Loss 0.0002 (0.0002) Accuracy 0.892 (0.851) -2023-07-26 13:42:20,631 Test: [198/199] Time 0.136 (0.221) Loss 0.0002 (0.0003) Accuracy 0.930 (0.850) -2023-07-26 13:42:22,373 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 13:42:31,959 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:42:32,003 The Predictions of Net 1 -2023-07-26 13:42:32,005 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:42:32,005 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:42:32,005 | 256x192_pose_dual_101_d256d256d256 | 0.6990 | 0.9155 | 0.7825 | 0.6770 | 0.7348 | 0.7306 | 0.9277 | 0.8021 | 0.6996 | 0.7772 | -2023-07-26 13:42:32,701 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 13:42:37,513 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:42:37,549 The Predictions of Net 2 -2023-07-26 13:42:37,550 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:42:37,551 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:42:37,551 | 256x192_pose_dual_101_d256d256d256 | 0.6972 | 0.9154 | 0.7823 | 0.6724 | 0.7358 | 0.7290 | 0.9230 | 0.8010 | 0.6955 | 0.7789 | -2023-07-26 13:42:38,245 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 13:42:42,987 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 13:42:43,019 Ensemble Predictions -2023-07-26 13:42:43,020 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 13:42:43,020 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 13:42:43,020 | 256x192_pose_dual_101_d256d256d256 | 0.7120 | 0.9253 | 0.7943 | 0.6897 | 0.7488 | 0.7429 | 0.9307 | 0.8145 | 0.7119 | 0.7893 | -2023-07-26 13:42:43,021 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 13:42:52,395 Epoch: [59][0/631] Time 5.241s (5.241s) Speed 6.1 samples/s Data 3.559s (3.559s) Loss 0.000701 (0.000701) Accuracy 0.893 (0.893) loss_pose: 0.000217 loss_cons: 0.000483 -2023-07-26 13:45:30,292 Epoch: [59][100/631] Time 1.516s (1.615s) Speed 21.1 samples/s Data 0.000s (0.036s) Loss 0.000752 (0.000695) Accuracy 0.847 (0.854) loss_pose: 0.000276 loss_cons: 0.000475 -2023-07-26 13:48:04,633 Epoch: [59][200/631] Time 1.512s (1.579s) Speed 21.2 samples/s Data 0.000s (0.018s) Loss 0.000804 (0.000689) Accuracy 0.836 (0.857) loss_pose: 0.000259 loss_cons: 0.000545 -2023-07-26 13:50:44,250 Epoch: [59][300/631] Time 1.605s (1.585s) Speed 19.9 samples/s Data 0.000s (0.012s) Loss 0.000702 (0.000689) Accuracy 0.898 (0.855) loss_pose: 0.000220 loss_cons: 0.000482 -2023-07-26 13:53:30,719 Epoch: [59][400/631] Time 1.518s (1.605s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000764 (0.000693) Accuracy 0.837 (0.856) loss_pose: 0.000256 loss_cons: 0.000509 -2023-07-26 13:56:05,180 Epoch: [59][500/631] Time 1.521s (1.593s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000628 (0.000692) Accuracy 0.844 (0.856) loss_pose: 0.000242 loss_cons: 0.000386 -2023-07-26 13:58:38,477 Epoch: [59][600/631] Time 1.506s (1.583s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000710 (0.000692) Accuracy 0.894 (0.857) loss_pose: 0.000214 loss_cons: 0.000496 -2023-07-26 13:59:23,823 Epoch: [59][630/631] Time 1.508s (1.580s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000657 (0.000692) Accuracy 0.873 (0.857) loss_pose: 0.000216 loss_cons: 0.000441 -2023-07-26 13:59:31,459 Test: [0/199] Time 5.596 (5.596) Loss 0.0002 (0.0002) Accuracy 0.868 (0.868) -2023-07-26 13:59:51,587 Test: [100/199] Time 0.199 (0.255) Loss 0.0002 (0.0002) Accuracy 0.905 (0.853) -2023-07-26 14:00:10,525 Test: [198/199] Time 0.276 (0.225) Loss 0.0002 (0.0002) Accuracy 0.897 (0.851) -2023-07-26 14:00:12,007 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 14:00:21,072 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:00:21,112 The Predictions of Net 1 -2023-07-26 14:00:21,114 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:00:21,114 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:00:21,114 | 256x192_pose_dual_101_d256d256d256 | 0.6984 | 0.9152 | 0.7812 | 0.6768 | 0.7304 | 0.7307 | 0.9247 | 0.8031 | 0.7014 | 0.7750 | -2023-07-26 14:00:21,823 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 14:00:26,629 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:00:26,662 The Predictions of Net 2 -2023-07-26 14:00:26,662 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:00:26,663 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:00:26,663 | 256x192_pose_dual_101_d256d256d256 | 0.6929 | 0.9148 | 0.7729 | 0.6704 | 0.7291 | 0.7261 | 0.9210 | 0.7997 | 0.6957 | 0.7717 | -2023-07-26 14:00:27,362 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 14:00:32,293 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:00:32,328 Ensemble Predictions -2023-07-26 14:00:32,329 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:00:32,329 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:00:32,329 | 256x192_pose_dual_101_d256d256d256 | 0.7072 | 0.9157 | 0.7928 | 0.6873 | 0.7444 | 0.7405 | 0.9281 | 0.8139 | 0.7115 | 0.7843 | -2023-07-26 14:00:32,330 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 14:00:40,812 Epoch: [60][0/631] Time 5.593s (5.593s) Speed 5.7 samples/s Data 3.924s (3.924s) Loss 0.000755 (0.000755) Accuracy 0.809 (0.809) loss_pose: 0.000306 loss_cons: 0.000450 -2023-07-26 14:03:16,135 Epoch: [60][100/631] Time 1.514s (1.593s) Speed 21.1 samples/s Data 0.000s (0.039s) Loss 0.000644 (0.000685) Accuracy 0.910 (0.858) loss_pose: 0.000202 loss_cons: 0.000442 -2023-07-26 14:05:50,597 Epoch: [60][200/631] Time 1.514s (1.569s) Speed 21.1 samples/s Data 0.001s (0.020s) Loss 0.000710 (0.000684) Accuracy 0.858 (0.859) loss_pose: 0.000211 loss_cons: 0.000499 -2023-07-26 14:08:24,537 Epoch: [60][300/631] Time 1.523s (1.559s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000680 (0.000682) Accuracy 0.876 (0.858) loss_pose: 0.000208 loss_cons: 0.000472 -2023-07-26 14:10:59,311 Epoch: [60][400/631] Time 1.610s (1.556s) Speed 19.9 samples/s Data 0.000s (0.010s) Loss 0.000773 (0.000686) Accuracy 0.847 (0.859) loss_pose: 0.000251 loss_cons: 0.000522 -2023-07-26 14:13:33,919 Epoch: [60][500/631] Time 1.544s (1.554s) Speed 20.7 samples/s Data 0.000s (0.008s) Loss 0.000632 (0.000687) Accuracy 0.904 (0.858) loss_pose: 0.000192 loss_cons: 0.000440 -2023-07-26 14:16:07,505 Epoch: [60][600/631] Time 1.520s (1.551s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000721 (0.000687) Accuracy 0.847 (0.858) loss_pose: 0.000235 loss_cons: 0.000486 -2023-07-26 14:16:53,452 Epoch: [60][630/631] Time 1.593s (1.550s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000671 (0.000687) Accuracy 0.898 (0.858) loss_pose: 0.000241 loss_cons: 0.000430 -2023-07-26 14:17:00,501 Test: [0/199] Time 4.239 (4.239) Loss 0.0002 (0.0002) Accuracy 0.870 (0.870) -2023-07-26 14:17:21,162 Test: [100/199] Time 0.204 (0.252) Loss 0.0002 (0.0002) Accuracy 0.908 (0.853) -2023-07-26 14:17:39,819 Test: [198/199] Time 0.146 (0.222) Loss 0.0002 (0.0002) Accuracy 0.937 (0.851) -2023-07-26 14:17:41,395 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 14:17:52,717 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:17:52,751 The Predictions of Net 1 -2023-07-26 14:17:52,752 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:17:52,752 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:17:52,752 | 256x192_pose_dual_101_d256d256d256 | 0.6992 | 0.9148 | 0.7803 | 0.6795 | 0.7349 | 0.7335 | 0.9238 | 0.8015 | 0.7031 | 0.7792 | -2023-07-26 14:17:53,438 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 14:17:58,166 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:17:58,203 The Predictions of Net 2 -2023-07-26 14:17:58,203 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:17:58,204 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:17:58,204 | 256x192_pose_dual_101_d256d256d256 | 0.7018 | 0.9148 | 0.7832 | 0.6799 | 0.7400 | 0.7348 | 0.9227 | 0.8092 | 0.7031 | 0.7819 | -2023-07-26 14:17:58,888 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 14:18:03,658 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:18:03,695 Ensemble Predictions -2023-07-26 14:18:03,695 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:18:03,696 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:18:03,696 | 256x192_pose_dual_101_d256d256d256 | 0.7125 | 0.9157 | 0.7928 | 0.6920 | 0.7501 | 0.7454 | 0.9284 | 0.8145 | 0.7149 | 0.7911 | -2023-07-26 14:18:03,697 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 14:18:13,593 Epoch: [61][0/631] Time 5.769s (5.769s) Speed 5.5 samples/s Data 4.076s (4.076s) Loss 0.000662 (0.000662) Accuracy 0.860 (0.860) loss_pose: 0.000264 loss_cons: 0.000398 -2023-07-26 14:20:50,119 Epoch: [61][100/631] Time 1.617s (1.607s) Speed 19.8 samples/s Data 0.000s (0.041s) Loss 0.000631 (0.000680) Accuracy 0.803 (0.858) loss_pose: 0.000233 loss_cons: 0.000398 -2023-07-26 14:23:24,346 Epoch: [61][200/631] Time 1.521s (1.575s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000743 (0.000686) Accuracy 0.910 (0.859) loss_pose: 0.000191 loss_cons: 0.000552 -2023-07-26 14:25:58,598 Epoch: [61][300/631] Time 1.614s (1.564s) Speed 19.8 samples/s Data 0.000s (0.014s) Loss 0.000700 (0.000690) Accuracy 0.875 (0.857) loss_pose: 0.000242 loss_cons: 0.000457 -2023-07-26 14:28:33,229 Epoch: [61][400/631] Time 1.565s (1.560s) Speed 20.4 samples/s Data 0.000s (0.011s) Loss 0.000767 (0.000693) Accuracy 0.864 (0.859) loss_pose: 0.000195 loss_cons: 0.000572 -2023-07-26 14:31:08,844 Epoch: [61][500/631] Time 1.596s (1.559s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000589 (0.000691) Accuracy 0.881 (0.860) loss_pose: 0.000238 loss_cons: 0.000352 -2023-07-26 14:33:43,573 Epoch: [61][600/631] Time 1.608s (1.557s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000667 (0.000690) Accuracy 0.865 (0.859) loss_pose: 0.000215 loss_cons: 0.000452 -2023-07-26 14:34:31,624 Epoch: [61][630/631] Time 1.607s (1.559s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000578 (0.000691) Accuracy 0.874 (0.859) loss_pose: 0.000223 loss_cons: 0.000355 -2023-07-26 14:34:39,899 Test: [0/199] Time 6.111 (6.111) Loss 0.0002 (0.0002) Accuracy 0.881 (0.881) -2023-07-26 14:34:59,720 Test: [100/199] Time 0.201 (0.257) Loss 0.0002 (0.0002) Accuracy 0.908 (0.855) -2023-07-26 14:35:18,611 Test: [198/199] Time 0.224 (0.225) Loss 0.0002 (0.0002) Accuracy 0.907 (0.852) -2023-07-26 14:35:20,114 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 14:35:29,516 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:35:29,565 The Predictions of Net 1 -2023-07-26 14:35:29,566 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:35:29,567 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:35:29,567 | 256x192_pose_dual_101_d256d256d256 | 0.7006 | 0.9156 | 0.7816 | 0.6815 | 0.7358 | 0.7348 | 0.9255 | 0.8065 | 0.7056 | 0.7792 | -2023-07-26 14:35:30,288 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 14:35:37,433 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:35:37,475 The Predictions of Net 2 -2023-07-26 14:35:37,476 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:35:37,476 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:35:37,476 | 256x192_pose_dual_101_d256d256d256 | 0.7003 | 0.9153 | 0.7818 | 0.6764 | 0.7415 | 0.7338 | 0.9247 | 0.8071 | 0.7008 | 0.7827 | -2023-07-26 14:35:38,188 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 14:35:43,094 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:35:43,130 Ensemble Predictions -2023-07-26 14:35:43,130 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:35:43,131 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:35:43,131 | 256x192_pose_dual_101_d256d256d256 | 0.7134 | 0.9161 | 0.7942 | 0.6900 | 0.7521 | 0.7457 | 0.9293 | 0.8182 | 0.7149 | 0.7918 | -2023-07-26 14:35:43,132 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 14:35:51,064 Epoch: [62][0/631] Time 4.975s (4.975s) Speed 6.4 samples/s Data 3.208s (3.208s) Loss 0.000759 (0.000759) Accuracy 0.866 (0.866) loss_pose: 0.000238 loss_cons: 0.000521 -2023-07-26 14:38:26,801 Epoch: [62][100/631] Time 1.531s (1.591s) Speed 20.9 samples/s Data 0.000s (0.032s) Loss 0.000683 (0.000689) Accuracy 0.879 (0.857) loss_pose: 0.000232 loss_cons: 0.000451 -2023-07-26 14:41:02,415 Epoch: [62][200/631] Time 1.515s (1.574s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000857 (0.000686) Accuracy 0.847 (0.857) loss_pose: 0.000245 loss_cons: 0.000612 -2023-07-26 14:43:38,245 Epoch: [62][300/631] Time 1.517s (1.569s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000739 (0.000686) Accuracy 0.853 (0.858) loss_pose: 0.000238 loss_cons: 0.000501 -2023-07-26 14:46:13,591 Epoch: [62][400/631] Time 1.563s (1.565s) Speed 20.5 samples/s Data 0.000s (0.008s) Loss 0.000620 (0.000688) Accuracy 0.869 (0.857) loss_pose: 0.000216 loss_cons: 0.000404 -2023-07-26 14:48:47,068 Epoch: [62][500/631] Time 1.524s (1.559s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000627 (0.000690) Accuracy 0.880 (0.857) loss_pose: 0.000217 loss_cons: 0.000411 -2023-07-26 14:51:21,946 Epoch: [62][600/631] Time 1.669s (1.557s) Speed 19.2 samples/s Data 0.000s (0.006s) Loss 0.000763 (0.000689) Accuracy 0.832 (0.857) loss_pose: 0.000239 loss_cons: 0.000524 -2023-07-26 14:52:07,327 Epoch: [62][630/631] Time 1.509s (1.555s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000708 (0.000690) Accuracy 0.895 (0.857) loss_pose: 0.000217 loss_cons: 0.000491 -2023-07-26 14:52:13,873 Test: [0/199] Time 4.119 (4.119) Loss 0.0002 (0.0002) Accuracy 0.884 (0.884) -2023-07-26 14:52:35,492 Test: [100/199] Time 0.214 (0.256) Loss 0.0002 (0.0002) Accuracy 0.896 (0.856) -2023-07-26 14:52:54,491 Test: [198/199] Time 0.204 (0.225) Loss 0.0002 (0.0002) Accuracy 0.913 (0.854) -2023-07-26 14:52:55,875 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 14:53:05,415 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:53:05,457 The Predictions of Net 1 -2023-07-26 14:53:05,458 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:53:05,459 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:53:05,459 | 256x192_pose_dual_101_d256d256d256 | 0.6997 | 0.9157 | 0.7822 | 0.6796 | 0.7367 | 0.7338 | 0.9265 | 0.8042 | 0.7031 | 0.7797 | -2023-07-26 14:53:06,153 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 14:53:11,003 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:53:11,042 The Predictions of Net 2 -2023-07-26 14:53:11,042 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:53:11,043 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:53:11,043 | 256x192_pose_dual_101_d256d256d256 | 0.6981 | 0.9152 | 0.7801 | 0.6752 | 0.7320 | 0.7305 | 0.9229 | 0.8015 | 0.7002 | 0.7760 | -2023-07-26 14:53:11,737 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 14:53:18,672 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 14:53:18,717 Ensemble Predictions -2023-07-26 14:53:18,718 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 14:53:18,718 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 14:53:18,718 | 256x192_pose_dual_101_d256d256d256 | 0.7112 | 0.9160 | 0.7922 | 0.6885 | 0.7482 | 0.7428 | 0.9288 | 0.8111 | 0.7118 | 0.7893 | -2023-07-26 14:53:18,719 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 14:53:27,807 Epoch: [63][0/631] Time 6.039s (6.039s) Speed 5.3 samples/s Data 4.319s (4.319s) Loss 0.000793 (0.000793) Accuracy 0.826 (0.826) loss_pose: 0.000278 loss_cons: 0.000515 -2023-07-26 14:56:03,775 Epoch: [63][100/631] Time 1.531s (1.604s) Speed 20.9 samples/s Data 0.000s (0.043s) Loss 0.000690 (0.000681) Accuracy 0.809 (0.861) loss_pose: 0.000294 loss_cons: 0.000396 -2023-07-26 14:58:38,931 Epoch: [63][200/631] Time 1.515s (1.578s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000974 (0.000687) Accuracy 0.863 (0.859) loss_pose: 0.000257 loss_cons: 0.000717 -2023-07-26 15:01:12,395 Epoch: [63][300/631] Time 1.514s (1.564s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000806 (0.000711) Accuracy 0.806 (0.850) loss_pose: 0.000256 loss_cons: 0.000550 -2023-07-26 15:03:45,936 Epoch: [63][400/631] Time 1.518s (1.557s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000709 (0.000712) Accuracy 0.838 (0.850) loss_pose: 0.000251 loss_cons: 0.000458 -2023-07-26 15:06:21,437 Epoch: [63][500/631] Time 1.612s (1.556s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000682 (0.000710) Accuracy 0.847 (0.850) loss_pose: 0.000256 loss_cons: 0.000426 -2023-07-26 15:08:54,509 Epoch: [63][600/631] Time 1.506s (1.552s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000671 (0.000708) Accuracy 0.885 (0.851) loss_pose: 0.000228 loss_cons: 0.000443 -2023-07-26 15:09:39,854 Epoch: [63][630/631] Time 1.504s (1.550s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000744 (0.000707) Accuracy 0.857 (0.850) loss_pose: 0.000274 loss_cons: 0.000470 -2023-07-26 15:09:47,927 Test: [0/199] Time 6.032 (6.032) Loss 0.0002 (0.0002) Accuracy 0.891 (0.891) -2023-07-26 15:10:07,816 Test: [100/199] Time 0.196 (0.257) Loss 0.0002 (0.0002) Accuracy 0.878 (0.852) -2023-07-26 15:10:26,601 Test: [198/199] Time 0.148 (0.225) Loss 0.0002 (0.0002) Accuracy 0.935 (0.850) -2023-07-26 15:10:28,644 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 15:10:38,542 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:10:38,583 The Predictions of Net 1 -2023-07-26 15:10:38,584 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:10:38,584 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:10:38,584 | 256x192_pose_dual_101_d256d256d256 | 0.7024 | 0.9156 | 0.7822 | 0.6801 | 0.7392 | 0.7350 | 0.9244 | 0.8070 | 0.7051 | 0.7800 | -2023-07-26 15:10:39,277 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 15:10:44,026 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:10:44,061 The Predictions of Net 2 -2023-07-26 15:10:44,062 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:10:44,062 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:10:44,062 | 256x192_pose_dual_101_d256d256d256 | 0.7045 | 0.9153 | 0.7840 | 0.6814 | 0.7442 | 0.7365 | 0.9235 | 0.8095 | 0.7048 | 0.7835 | -2023-07-26 15:10:44,755 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 15:10:49,550 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:10:49,586 Ensemble Predictions -2023-07-26 15:10:49,587 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:10:49,588 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:10:49,588 | 256x192_pose_dual_101_d256d256d256 | 0.7165 | 0.9252 | 0.7943 | 0.6925 | 0.7520 | 0.7474 | 0.9301 | 0.8196 | 0.7164 | 0.7938 | -2023-07-26 15:10:49,589 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 15:10:59,021 Epoch: [64][0/631] Time 5.466s (5.466s) Speed 5.9 samples/s Data 3.782s (3.782s) Loss 0.000701 (0.000701) Accuracy 0.833 (0.833) loss_pose: 0.000278 loss_cons: 0.000423 -2023-07-26 15:13:34,641 Epoch: [64][100/631] Time 1.603s (1.595s) Speed 20.0 samples/s Data 0.000s (0.038s) Loss 0.000606 (0.000677) Accuracy 0.818 (0.856) loss_pose: 0.000287 loss_cons: 0.000319 -2023-07-26 15:16:09,204 Epoch: [64][200/631] Time 1.571s (1.570s) Speed 20.4 samples/s Data 0.000s (0.019s) Loss 0.000761 (0.000681) Accuracy 0.865 (0.855) loss_pose: 0.000236 loss_cons: 0.000525 -2023-07-26 15:18:43,738 Epoch: [64][300/631] Time 1.587s (1.562s) Speed 20.2 samples/s Data 0.000s (0.013s) Loss 0.000664 (0.000684) Accuracy 0.851 (0.855) loss_pose: 0.000207 loss_cons: 0.000457 -2023-07-26 15:21:19,502 Epoch: [64][400/631] Time 1.595s (1.561s) Speed 20.1 samples/s Data 0.000s (0.010s) Loss 0.000733 (0.000682) Accuracy 0.844 (0.856) loss_pose: 0.000284 loss_cons: 0.000449 -2023-07-26 15:23:55,424 Epoch: [64][500/631] Time 1.521s (1.561s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000740 (0.000682) Accuracy 0.843 (0.856) loss_pose: 0.000262 loss_cons: 0.000478 -2023-07-26 15:26:28,254 Epoch: [64][600/631] Time 1.508s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000670 (0.000682) Accuracy 0.883 (0.857) loss_pose: 0.000250 loss_cons: 0.000420 -2023-07-26 15:27:13,569 Epoch: [64][630/631] Time 1.506s (1.553s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000671 (0.000682) Accuracy 0.868 (0.857) loss_pose: 0.000226 loss_cons: 0.000444 -2023-07-26 15:27:21,009 Test: [0/199] Time 5.091 (5.091) Loss 0.0002 (0.0002) Accuracy 0.887 (0.887) -2023-07-26 15:27:41,518 Test: [100/199] Time 0.212 (0.255) Loss 0.0002 (0.0002) Accuracy 0.891 (0.853) -2023-07-26 15:28:00,329 Test: [198/199] Time 0.236 (0.224) Loss 0.0002 (0.0003) Accuracy 0.903 (0.852) -2023-07-26 15:28:04,769 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 15:28:13,093 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:28:13,132 The Predictions of Net 1 -2023-07-26 15:28:13,133 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:28:13,133 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:28:13,133 | 256x192_pose_dual_101_d256d256d256 | 0.7011 | 0.9151 | 0.7819 | 0.6805 | 0.7380 | 0.7350 | 0.9246 | 0.8070 | 0.7041 | 0.7815 | -2023-07-26 15:28:13,827 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 15:28:18,691 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:28:18,728 The Predictions of Net 2 -2023-07-26 15:28:18,729 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:28:18,730 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:28:18,730 | 256x192_pose_dual_101_d256d256d256 | 0.7066 | 0.9156 | 0.7927 | 0.6832 | 0.7440 | 0.7382 | 0.9274 | 0.8119 | 0.7075 | 0.7841 | -2023-07-26 15:28:19,423 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 15:28:24,261 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:28:24,297 Ensemble Predictions -2023-07-26 15:28:24,298 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:28:24,298 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:28:24,298 | 256x192_pose_dual_101_d256d256d256 | 0.7156 | 0.9160 | 0.7948 | 0.6947 | 0.7513 | 0.7471 | 0.9292 | 0.8183 | 0.7178 | 0.7915 | -2023-07-26 15:28:24,299 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 15:28:33,936 Epoch: [65][0/631] Time 5.667s (5.667s) Speed 5.6 samples/s Data 4.016s (4.016s) Loss 0.000578 (0.000578) Accuracy 0.858 (0.858) loss_pose: 0.000219 loss_cons: 0.000359 -2023-07-26 15:31:07,861 Epoch: [65][100/631] Time 1.558s (1.580s) Speed 20.5 samples/s Data 0.000s (0.040s) Loss 0.000680 (0.000673) Accuracy 0.893 (0.855) loss_pose: 0.000228 loss_cons: 0.000451 -2023-07-26 15:33:41,951 Epoch: [65][200/631] Time 1.517s (1.561s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000662 (0.000675) Accuracy 0.835 (0.858) loss_pose: 0.000234 loss_cons: 0.000429 -2023-07-26 15:36:16,401 Epoch: [65][300/631] Time 1.602s (1.555s) Speed 20.0 samples/s Data 0.000s (0.014s) Loss 0.000682 (0.000675) Accuracy 0.809 (0.858) loss_pose: 0.000195 loss_cons: 0.000487 -2023-07-26 15:38:51,090 Epoch: [65][400/631] Time 1.510s (1.553s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000692 (0.000678) Accuracy 0.811 (0.857) loss_pose: 0.000251 loss_cons: 0.000441 -2023-07-26 15:41:24,816 Epoch: [65][500/631] Time 1.585s (1.550s) Speed 20.2 samples/s Data 0.000s (0.008s) Loss 0.000642 (0.000677) Accuracy 0.862 (0.857) loss_pose: 0.000209 loss_cons: 0.000433 -2023-07-26 15:43:59,623 Epoch: [65][600/631] Time 1.516s (1.550s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000671 (0.000679) Accuracy 0.852 (0.857) loss_pose: 0.000207 loss_cons: 0.000463 -2023-07-26 15:44:45,127 Epoch: [65][630/631] Time 1.515s (1.548s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000533 (0.000679) Accuracy 0.900 (0.858) loss_pose: 0.000191 loss_cons: 0.000342 -2023-07-26 15:44:52,334 Test: [0/199] Time 4.907 (4.907) Loss 0.0002 (0.0002) Accuracy 0.886 (0.886) -2023-07-26 15:45:12,853 Test: [100/199] Time 0.197 (0.253) Loss 0.0002 (0.0002) Accuracy 0.900 (0.855) -2023-07-26 15:45:31,434 Test: [198/199] Time 0.136 (0.222) Loss 0.0002 (0.0002) Accuracy 0.871 (0.854) -2023-07-26 15:45:33,307 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 15:45:42,725 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:45:42,770 The Predictions of Net 1 -2023-07-26 15:45:42,772 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:45:42,772 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:45:42,772 | 256x192_pose_dual_101_d256d256d256 | 0.7052 | 0.9156 | 0.7911 | 0.6860 | 0.7381 | 0.7390 | 0.9279 | 0.8108 | 0.7101 | 0.7825 | -2023-07-26 15:45:45,608 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 15:45:50,310 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:45:50,345 The Predictions of Net 2 -2023-07-26 15:45:50,346 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:45:50,346 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:45:50,346 | 256x192_pose_dual_101_d256d256d256 | 0.7033 | 0.9150 | 0.7836 | 0.6827 | 0.7390 | 0.7372 | 0.9230 | 0.8084 | 0.7067 | 0.7830 | -2023-07-26 15:45:51,031 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 15:45:55,783 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 15:45:55,818 Ensemble Predictions -2023-07-26 15:45:55,819 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 15:45:55,820 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 15:45:55,820 | 256x192_pose_dual_101_d256d256d256 | 0.7149 | 0.9157 | 0.8027 | 0.6975 | 0.7519 | 0.7494 | 0.9292 | 0.8218 | 0.7199 | 0.7942 | -2023-07-26 15:45:55,821 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 15:46:04,810 Epoch: [66][0/631] Time 5.010s (5.010s) Speed 6.4 samples/s Data 3.310s (3.310s) Loss 0.000643 (0.000643) Accuracy 0.878 (0.878) loss_pose: 0.000232 loss_cons: 0.000412 -2023-07-26 15:48:39,192 Epoch: [66][100/631] Time 1.520s (1.578s) Speed 21.0 samples/s Data 0.000s (0.033s) Loss 0.000564 (0.000671) Accuracy 0.879 (0.863) loss_pose: 0.000197 loss_cons: 0.000367 -2023-07-26 15:51:13,888 Epoch: [66][200/631] Time 1.556s (1.563s) Speed 20.6 samples/s Data 0.000s (0.017s) Loss 0.000645 (0.000673) Accuracy 0.882 (0.858) loss_pose: 0.000207 loss_cons: 0.000438 -2023-07-26 15:53:48,683 Epoch: [66][300/631] Time 1.519s (1.558s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000662 (0.000675) Accuracy 0.885 (0.861) loss_pose: 0.000217 loss_cons: 0.000444 -2023-07-26 15:56:22,852 Epoch: [66][400/631] Time 1.608s (1.554s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000651 (0.000675) Accuracy 0.879 (0.862) loss_pose: 0.000216 loss_cons: 0.000435 -2023-07-26 15:58:59,468 Epoch: [66][500/631] Time 1.550s (1.556s) Speed 20.6 samples/s Data 0.001s (0.007s) Loss 0.000685 (0.000676) Accuracy 0.881 (0.862) loss_pose: 0.000223 loss_cons: 0.000462 -2023-07-26 16:01:33,685 Epoch: [66][600/631] Time 1.510s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000676 (0.000677) Accuracy 0.797 (0.861) loss_pose: 0.000277 loss_cons: 0.000399 -2023-07-26 16:02:19,069 Epoch: [66][630/631] Time 1.509s (1.552s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000671 (0.000678) Accuracy 0.804 (0.861) loss_pose: 0.000271 loss_cons: 0.000400 -2023-07-26 16:02:25,785 Test: [0/199] Time 4.296 (4.296) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-26 16:02:46,593 Test: [100/199] Time 0.197 (0.252) Loss 0.0002 (0.0002) Accuracy 0.902 (0.855) -2023-07-26 16:03:05,291 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.891 (0.854) -2023-07-26 16:03:06,990 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 16:03:16,186 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:03:16,235 The Predictions of Net 1 -2023-07-26 16:03:16,236 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:03:16,237 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:03:16,237 | 256x192_pose_dual_101_d256d256d256 | 0.7046 | 0.9156 | 0.7919 | 0.6822 | 0.7425 | 0.7376 | 0.9268 | 0.8119 | 0.7055 | 0.7851 | -2023-07-26 16:03:16,941 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 16:03:21,805 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:03:21,842 The Predictions of Net 2 -2023-07-26 16:03:21,843 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:03:21,843 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:03:21,843 | 256x192_pose_dual_101_d256d256d256 | 0.7015 | 0.9153 | 0.7838 | 0.6808 | 0.7357 | 0.7356 | 0.9233 | 0.8098 | 0.7053 | 0.7809 | -2023-07-26 16:03:24,611 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 16:03:29,430 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:03:29,465 Ensemble Predictions -2023-07-26 16:03:29,466 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:03:29,466 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:03:29,467 | 256x192_pose_dual_101_d256d256d256 | 0.7169 | 0.9252 | 0.8028 | 0.6951 | 0.7543 | 0.7488 | 0.9304 | 0.8212 | 0.7185 | 0.7946 | -2023-07-26 16:03:29,468 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 16:03:37,473 Epoch: [67][0/631] Time 5.078s (5.078s) Speed 6.3 samples/s Data 3.373s (3.373s) Loss 0.000602 (0.000602) Accuracy 0.904 (0.904) loss_pose: 0.000197 loss_cons: 0.000405 -2023-07-26 16:06:13,978 Epoch: [67][100/631] Time 1.538s (1.600s) Speed 20.8 samples/s Data 0.000s (0.034s) Loss 0.000593 (0.000667) Accuracy 0.839 (0.863) loss_pose: 0.000241 loss_cons: 0.000351 -2023-07-26 16:08:50,468 Epoch: [67][200/631] Time 1.532s (1.582s) Speed 20.9 samples/s Data 0.000s (0.017s) Loss 0.000721 (0.000675) Accuracy 0.860 (0.859) loss_pose: 0.000247 loss_cons: 0.000474 -2023-07-26 16:11:25,001 Epoch: [67][300/631] Time 1.531s (1.570s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000690 (0.000679) Accuracy 0.905 (0.858) loss_pose: 0.000180 loss_cons: 0.000510 -2023-07-26 16:13:59,460 Epoch: [67][400/631] Time 1.517s (1.564s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000663 (0.000678) Accuracy 0.867 (0.858) loss_pose: 0.000201 loss_cons: 0.000461 -2023-07-26 16:16:33,338 Epoch: [67][500/631] Time 1.612s (1.559s) Speed 19.8 samples/s Data 0.001s (0.007s) Loss 0.000754 (0.000680) Accuracy 0.885 (0.859) loss_pose: 0.000267 loss_cons: 0.000487 -2023-07-26 16:19:06,767 Epoch: [67][600/631] Time 1.503s (1.555s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000798 (0.000679) Accuracy 0.862 (0.859) loss_pose: 0.000243 loss_cons: 0.000554 -2023-07-26 16:19:52,184 Epoch: [67][630/631] Time 1.505s (1.553s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000667 (0.000679) Accuracy 0.871 (0.859) loss_pose: 0.000210 loss_cons: 0.000456 -2023-07-26 16:19:58,613 Test: [0/199] Time 4.204 (4.204) Loss 0.0002 (0.0002) Accuracy 0.881 (0.881) -2023-07-26 16:20:19,763 Test: [100/199] Time 0.201 (0.253) Loss 0.0002 (0.0002) Accuracy 0.892 (0.855) -2023-07-26 16:20:38,500 Test: [198/199] Time 0.146 (0.223) Loss 0.0002 (0.0003) Accuracy 0.876 (0.852) -2023-07-26 16:20:40,186 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 16:20:49,425 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:20:49,475 The Predictions of Net 1 -2023-07-26 16:20:49,475 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:20:49,475 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:20:49,477 | 256x192_pose_dual_101_d256d256d256 | 0.6993 | 0.9145 | 0.7817 | 0.6796 | 0.7350 | 0.7340 | 0.9227 | 0.8078 | 0.7047 | 0.7783 | -2023-07-26 16:20:50,201 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 16:20:55,068 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:20:55,106 The Predictions of Net 2 -2023-07-26 16:20:55,107 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:20:55,108 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:20:55,108 | 256x192_pose_dual_101_d256d256d256 | 0.7071 | 0.9153 | 0.7922 | 0.6837 | 0.7427 | 0.7384 | 0.9254 | 0.8105 | 0.7077 | 0.7842 | -2023-07-26 16:20:55,811 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 16:21:00,767 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:21:00,803 Ensemble Predictions -2023-07-26 16:21:00,803 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:21:00,804 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:21:00,805 | 256x192_pose_dual_101_d256d256d256 | 0.7140 | 0.9159 | 0.7943 | 0.6944 | 0.7518 | 0.7475 | 0.9298 | 0.8190 | 0.7180 | 0.7923 | -2023-07-26 16:21:00,806 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 16:21:08,657 Epoch: [68][0/631] Time 4.883s (4.883s) Speed 6.6 samples/s Data 3.135s (3.135s) Loss 0.000671 (0.000671) Accuracy 0.843 (0.843) loss_pose: 0.000276 loss_cons: 0.000395 -2023-07-26 16:23:44,862 Epoch: [68][100/631] Time 1.516s (1.595s) Speed 21.1 samples/s Data 0.000s (0.031s) Loss 0.000575 (0.000669) Accuracy 0.893 (0.865) loss_pose: 0.000206 loss_cons: 0.000368 -2023-07-26 16:26:19,914 Epoch: [68][200/631] Time 1.533s (1.573s) Speed 20.9 samples/s Data 0.000s (0.016s) Loss 0.000674 (0.000664) Accuracy 0.912 (0.867) loss_pose: 0.000215 loss_cons: 0.000460 -2023-07-26 16:29:04,068 Epoch: [68][300/631] Time 3.748s (1.596s) Speed 8.5 samples/s Data 0.000s (0.011s) Loss 0.000725 (0.000667) Accuracy 0.875 (0.866) loss_pose: 0.000200 loss_cons: 0.000524 -2023-07-26 16:31:46,549 Epoch: [68][400/631] Time 1.598s (1.603s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000648 (0.000668) Accuracy 0.842 (0.865) loss_pose: 0.000260 loss_cons: 0.000389 -2023-07-26 16:34:19,741 Epoch: [68][500/631] Time 1.520s (1.589s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000673 (0.000670) Accuracy 0.852 (0.864) loss_pose: 0.000243 loss_cons: 0.000430 -2023-07-26 16:36:53,580 Epoch: [68][600/631] Time 1.519s (1.580s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000889 (0.000670) Accuracy 0.825 (0.864) loss_pose: 0.000241 loss_cons: 0.000648 -2023-07-26 16:37:38,989 Epoch: [68][630/631] Time 1.501s (1.577s) Speed 21.3 samples/s Data 0.000s (0.005s) Loss 0.000632 (0.000671) Accuracy 0.859 (0.864) loss_pose: 0.000237 loss_cons: 0.000395 -2023-07-26 16:37:46,723 Test: [0/199] Time 5.669 (5.669) Loss 0.0002 (0.0002) Accuracy 0.894 (0.894) -2023-07-26 16:38:06,621 Test: [100/199] Time 0.201 (0.254) Loss 0.0002 (0.0002) Accuracy 0.890 (0.855) -2023-07-26 16:38:25,400 Test: [198/199] Time 0.135 (0.223) Loss 0.0002 (0.0002) Accuracy 0.906 (0.854) -2023-07-26 16:38:27,521 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 16:38:36,944 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:38:36,981 The Predictions of Net 1 -2023-07-26 16:38:36,982 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:38:36,983 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:38:36,983 | 256x192_pose_dual_101_d256d256d256 | 0.7056 | 0.9152 | 0.7832 | 0.6858 | 0.7420 | 0.7393 | 0.9273 | 0.8100 | 0.7090 | 0.7848 | -2023-07-26 16:38:37,681 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 16:38:42,411 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:38:42,445 The Predictions of Net 2 -2023-07-26 16:38:42,446 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:38:42,447 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:38:42,447 | 256x192_pose_dual_101_d256d256d256 | 0.7042 | 0.9154 | 0.7830 | 0.6841 | 0.7395 | 0.7376 | 0.9276 | 0.8068 | 0.7085 | 0.7814 | -2023-07-26 16:38:43,131 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 16:38:47,848 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:38:47,882 Ensemble Predictions -2023-07-26 16:38:47,883 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:38:47,883 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:38:47,883 | 256x192_pose_dual_101_d256d256d256 | 0.7174 | 0.9254 | 0.7947 | 0.6962 | 0.7523 | 0.7491 | 0.9317 | 0.8196 | 0.7201 | 0.7928 | -2023-07-26 16:38:47,884 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 16:38:57,395 Epoch: [69][0/631] Time 5.553s (5.553s) Speed 5.8 samples/s Data 3.873s (3.873s) Loss 0.000593 (0.000593) Accuracy 0.885 (0.885) loss_pose: 0.000207 loss_cons: 0.000386 -2023-07-26 16:41:31,218 Epoch: [69][100/631] Time 1.550s (1.578s) Speed 20.6 samples/s Data 0.000s (0.039s) Loss 0.000630 (0.000662) Accuracy 0.884 (0.860) loss_pose: 0.000216 loss_cons: 0.000414 -2023-07-26 16:44:06,123 Epoch: [69][200/631] Time 1.605s (1.564s) Speed 19.9 samples/s Data 0.000s (0.020s) Loss 0.000777 (0.000665) Accuracy 0.937 (0.862) loss_pose: 0.000200 loss_cons: 0.000577 -2023-07-26 16:46:41,706 Epoch: [69][300/631] Time 1.516s (1.561s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000614 (0.000667) Accuracy 0.845 (0.861) loss_pose: 0.000247 loss_cons: 0.000368 -2023-07-26 16:49:17,088 Epoch: [69][400/631] Time 1.649s (1.559s) Speed 19.4 samples/s Data 0.000s (0.010s) Loss 0.000671 (0.000669) Accuracy 0.847 (0.861) loss_pose: 0.000269 loss_cons: 0.000401 -2023-07-26 16:51:51,251 Epoch: [69][500/631] Time 1.521s (1.556s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000643 (0.000669) Accuracy 0.854 (0.861) loss_pose: 0.000239 loss_cons: 0.000404 -2023-07-26 16:54:27,840 Epoch: [69][600/631] Time 1.507s (1.557s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000638 (0.000671) Accuracy 0.884 (0.861) loss_pose: 0.000219 loss_cons: 0.000419 -2023-07-26 16:55:13,207 Epoch: [69][630/631] Time 1.508s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000636 (0.000671) Accuracy 0.852 (0.861) loss_pose: 0.000238 loss_cons: 0.000398 -2023-07-26 16:55:20,322 Test: [0/199] Time 5.035 (5.035) Loss 0.0002 (0.0002) Accuracy 0.883 (0.883) -2023-07-26 16:55:40,479 Test: [100/199] Time 0.198 (0.251) Loss 0.0002 (0.0002) Accuracy 0.902 (0.859) -2023-07-26 16:55:59,050 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0002) Accuracy 0.908 (0.856) -2023-07-26 16:56:00,774 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 16:56:12,187 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:56:12,220 The Predictions of Net 1 -2023-07-26 16:56:12,220 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:56:12,221 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:56:12,222 | 256x192_pose_dual_101_d256d256d256 | 0.7090 | 0.9149 | 0.7924 | 0.6886 | 0.7446 | 0.7417 | 0.9268 | 0.8128 | 0.7119 | 0.7864 | -2023-07-26 16:56:12,910 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 16:56:17,654 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:56:17,688 The Predictions of Net 2 -2023-07-26 16:56:17,689 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:56:17,690 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:56:17,690 | 256x192_pose_dual_101_d256d256d256 | 0.7070 | 0.9155 | 0.7925 | 0.6855 | 0.7417 | 0.7390 | 0.9274 | 0.8125 | 0.7099 | 0.7826 | -2023-07-26 16:56:18,375 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 16:56:23,191 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 16:56:23,227 Ensemble Predictions -2023-07-26 16:56:23,227 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 16:56:23,228 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 16:56:23,228 | 256x192_pose_dual_101_d256d256d256 | 0.7189 | 0.9255 | 0.8038 | 0.6985 | 0.7541 | 0.7511 | 0.9320 | 0.8251 | 0.7219 | 0.7949 | -2023-07-26 16:56:23,229 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 16:56:33,437 Epoch: [70][0/631] Time 6.127s (6.127s) Speed 5.2 samples/s Data 4.406s (4.406s) Loss 0.000647 (0.000647) Accuracy 0.807 (0.807) loss_pose: 0.000272 loss_cons: 0.000375 -2023-07-26 16:59:09,586 Epoch: [70][100/631] Time 1.665s (1.607s) Speed 19.2 samples/s Data 0.000s (0.044s) Loss 0.000612 (0.000664) Accuracy 0.884 (0.857) loss_pose: 0.000219 loss_cons: 0.000394 -2023-07-26 17:01:46,434 Epoch: [70][200/631] Time 1.600s (1.588s) Speed 20.0 samples/s Data 0.000s (0.022s) Loss 0.000831 (0.000671) Accuracy 0.836 (0.860) loss_pose: 0.000256 loss_cons: 0.000575 -2023-07-26 17:04:21,481 Epoch: [70][300/631] Time 1.518s (1.575s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000954 (0.000673) Accuracy 0.852 (0.859) loss_pose: 0.000272 loss_cons: 0.000682 -2023-07-26 17:06:56,326 Epoch: [70][400/631] Time 1.529s (1.569s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000652 (0.000674) Accuracy 0.847 (0.861) loss_pose: 0.000250 loss_cons: 0.000401 -2023-07-26 17:09:31,074 Epoch: [70][500/631] Time 1.531s (1.564s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000680 (0.000675) Accuracy 0.869 (0.861) loss_pose: 0.000215 loss_cons: 0.000465 -2023-07-26 17:12:05,950 Epoch: [70][600/631] Time 1.513s (1.562s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000662 (0.000675) Accuracy 0.882 (0.861) loss_pose: 0.000197 loss_cons: 0.000465 -2023-07-26 17:12:51,310 Epoch: [70][630/631] Time 1.506s (1.559s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000685 (0.000675) Accuracy 0.832 (0.860) loss_pose: 0.000234 loss_cons: 0.000451 -2023-07-26 17:12:58,181 Test: [0/199] Time 4.414 (4.414) Loss 0.0002 (0.0002) Accuracy 0.881 (0.881) -2023-07-26 17:13:19,353 Test: [100/199] Time 0.204 (0.255) Loss 0.0002 (0.0002) Accuracy 0.900 (0.858) -2023-07-26 17:13:37,947 Test: [198/199] Time 0.135 (0.223) Loss 0.0002 (0.0002) Accuracy 0.921 (0.855) -2023-07-26 17:13:40,180 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 17:13:50,062 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:13:50,123 The Predictions of Net 1 -2023-07-26 17:13:50,123 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:13:50,128 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:13:50,128 | 256x192_pose_dual_101_d256d256d256 | 0.7051 | 0.9151 | 0.7919 | 0.6855 | 0.7382 | 0.7387 | 0.9285 | 0.8125 | 0.7096 | 0.7826 | -2023-07-26 17:13:50,825 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 17:13:57,743 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:13:57,776 The Predictions of Net 2 -2023-07-26 17:13:57,777 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:13:57,778 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:13:57,778 | 256x192_pose_dual_101_d256d256d256 | 0.7007 | 0.9149 | 0.7825 | 0.6793 | 0.7393 | 0.7362 | 0.9260 | 0.8089 | 0.7057 | 0.7818 | -2023-07-26 17:13:58,465 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 17:14:03,294 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:14:03,330 Ensemble Predictions -2023-07-26 17:14:03,331 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:14:03,331 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:14:03,332 | 256x192_pose_dual_101_d256d256d256 | 0.7150 | 0.9252 | 0.7944 | 0.6933 | 0.7481 | 0.7476 | 0.9334 | 0.8183 | 0.7182 | 0.7919 | -2023-07-26 17:14:03,332 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 17:14:12,096 Epoch: [71][0/631] Time 5.732s (5.732s) Speed 5.6 samples/s Data 4.021s (4.021s) Loss 0.000702 (0.000702) Accuracy 0.861 (0.861) loss_pose: 0.000230 loss_cons: 0.000472 -2023-07-26 17:16:47,602 Epoch: [71][100/631] Time 1.522s (1.596s) Speed 21.0 samples/s Data 0.000s (0.040s) Loss 0.000656 (0.000664) Accuracy 0.845 (0.864) loss_pose: 0.000278 loss_cons: 0.000379 -2023-07-26 17:19:23,188 Epoch: [71][200/631] Time 1.602s (1.576s) Speed 20.0 samples/s Data 0.000s (0.020s) Loss 0.000725 (0.000669) Accuracy 0.849 (0.863) loss_pose: 0.000253 loss_cons: 0.000472 -2023-07-26 17:21:58,694 Epoch: [71][300/631] Time 1.614s (1.569s) Speed 19.8 samples/s Data 0.000s (0.014s) Loss 0.000645 (0.000668) Accuracy 0.903 (0.862) loss_pose: 0.000183 loss_cons: 0.000461 -2023-07-26 17:24:34,058 Epoch: [71][400/631] Time 1.517s (1.565s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000700 (0.000671) Accuracy 0.842 (0.862) loss_pose: 0.000205 loss_cons: 0.000495 -2023-07-26 17:27:10,377 Epoch: [71][500/631] Time 1.518s (1.565s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000655 (0.000670) Accuracy 0.846 (0.863) loss_pose: 0.000227 loss_cons: 0.000428 -2023-07-26 17:29:44,687 Epoch: [71][600/631] Time 1.509s (1.561s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000708 (0.000671) Accuracy 0.883 (0.862) loss_pose: 0.000255 loss_cons: 0.000453 -2023-07-26 17:30:32,209 Epoch: [71][630/631] Time 1.599s (1.562s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000632 (0.000671) Accuracy 0.850 (0.862) loss_pose: 0.000244 loss_cons: 0.000388 -2023-07-26 17:30:39,996 Test: [0/199] Time 5.588 (5.588) Loss 0.0002 (0.0002) Accuracy 0.894 (0.894) -2023-07-26 17:31:00,024 Test: [100/199] Time 0.206 (0.254) Loss 0.0002 (0.0002) Accuracy 0.886 (0.859) -2023-07-26 17:31:18,898 Test: [198/199] Time 0.143 (0.224) Loss 0.0002 (0.0002) Accuracy 0.933 (0.857) -2023-07-26 17:31:20,182 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 17:31:29,866 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:31:29,909 The Predictions of Net 1 -2023-07-26 17:31:29,910 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:31:29,911 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:31:29,911 | 256x192_pose_dual_101_d256d256d256 | 0.7087 | 0.9153 | 0.7919 | 0.6861 | 0.7474 | 0.7420 | 0.9263 | 0.8133 | 0.7107 | 0.7891 | -2023-07-26 17:31:30,618 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 17:31:35,545 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:31:35,584 The Predictions of Net 2 -2023-07-26 17:31:35,585 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:31:35,585 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:31:35,585 | 256x192_pose_dual_101_d256d256d256 | 0.7087 | 0.9157 | 0.7906 | 0.6853 | 0.7468 | 0.7415 | 0.9263 | 0.8112 | 0.7113 | 0.7870 | -2023-07-26 17:31:36,279 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 17:31:43,215 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:31:43,253 Ensemble Predictions -2023-07-26 17:31:43,254 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:31:43,255 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:31:43,255 | 256x192_pose_dual_101_d256d256d256 | 0.7188 | 0.9162 | 0.7933 | 0.6972 | 0.7565 | 0.7515 | 0.9296 | 0.8196 | 0.7217 | 0.7964 | -2023-07-26 17:31:43,256 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 17:31:53,296 Epoch: [72][0/631] Time 6.024s (6.024s) Speed 5.3 samples/s Data 4.315s (4.315s) Loss 0.000698 (0.000698) Accuracy 0.869 (0.869) loss_pose: 0.000221 loss_cons: 0.000477 -2023-07-26 17:34:28,248 Epoch: [72][100/631] Time 1.623s (1.594s) Speed 19.7 samples/s Data 0.000s (0.043s) Loss 0.000650 (0.000657) Accuracy 0.882 (0.865) loss_pose: 0.000227 loss_cons: 0.000423 -2023-07-26 17:37:02,536 Epoch: [72][200/631] Time 1.610s (1.568s) Speed 19.9 samples/s Data 0.000s (0.022s) Loss 0.000671 (0.000661) Accuracy 0.818 (0.863) loss_pose: 0.000232 loss_cons: 0.000439 -2023-07-26 17:39:36,064 Epoch: [72][300/631] Time 1.528s (1.557s) Speed 20.9 samples/s Data 0.000s (0.015s) Loss 0.000644 (0.000665) Accuracy 0.836 (0.861) loss_pose: 0.000262 loss_cons: 0.000382 -2023-07-26 17:42:10,886 Epoch: [72][400/631] Time 1.518s (1.555s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000725 (0.000667) Accuracy 0.870 (0.863) loss_pose: 0.000217 loss_cons: 0.000508 -2023-07-26 17:44:44,510 Epoch: [72][500/631] Time 1.517s (1.551s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000648 (0.000668) Accuracy 0.824 (0.862) loss_pose: 0.000241 loss_cons: 0.000407 -2023-07-26 17:47:17,764 Epoch: [72][600/631] Time 1.508s (1.548s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000741 (0.000670) Accuracy 0.855 (0.862) loss_pose: 0.000240 loss_cons: 0.000502 -2023-07-26 17:48:03,072 Epoch: [72][630/631] Time 1.507s (1.546s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000651 (0.000670) Accuracy 0.850 (0.862) loss_pose: 0.000238 loss_cons: 0.000413 -2023-07-26 17:48:09,556 Test: [0/199] Time 4.426 (4.426) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-26 17:48:30,575 Test: [100/199] Time 0.201 (0.253) Loss 0.0002 (0.0002) Accuracy 0.892 (0.859) -2023-07-26 17:48:49,215 Test: [198/199] Time 0.144 (0.222) Loss 0.0002 (0.0002) Accuracy 0.944 (0.857) -2023-07-26 17:48:50,747 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 17:49:00,444 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:49:00,486 The Predictions of Net 1 -2023-07-26 17:49:00,487 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:49:00,488 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:49:00,488 | 256x192_pose_dual_101_d256d256d256 | 0.7110 | 0.9160 | 0.7918 | 0.6864 | 0.7502 | 0.7425 | 0.9281 | 0.8114 | 0.7104 | 0.7907 | -2023-07-26 17:49:01,182 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 17:49:05,913 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:49:05,947 The Predictions of Net 2 -2023-07-26 17:49:05,948 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:49:05,948 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:49:05,948 | 256x192_pose_dual_101_d256d256d256 | 0.7071 | 0.9158 | 0.7914 | 0.6842 | 0.7460 | 0.7406 | 0.9265 | 0.8108 | 0.7095 | 0.7870 | -2023-07-26 17:49:06,637 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 17:49:11,437 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 17:49:11,472 Ensemble Predictions -2023-07-26 17:49:11,473 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 17:49:11,473 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 17:49:11,473 | 256x192_pose_dual_101_d256d256d256 | 0.7202 | 0.9253 | 0.8022 | 0.6963 | 0.7594 | 0.7518 | 0.9307 | 0.8218 | 0.7204 | 0.7988 | -2023-07-26 17:49:11,474 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 17:49:21,120 Epoch: [73][0/631] Time 5.704s (5.704s) Speed 5.6 samples/s Data 4.003s (4.003s) Loss 0.000648 (0.000648) Accuracy 0.860 (0.860) loss_pose: 0.000221 loss_cons: 0.000427 -2023-07-26 17:51:57,896 Epoch: [73][100/631] Time 1.519s (1.609s) Speed 21.1 samples/s Data 0.000s (0.040s) Loss 0.000601 (0.000669) Accuracy 0.873 (0.865) loss_pose: 0.000211 loss_cons: 0.000390 -2023-07-26 17:54:35,024 Epoch: [73][200/631] Time 1.601s (1.590s) Speed 20.0 samples/s Data 0.000s (0.020s) Loss 0.000790 (0.000671) Accuracy 0.849 (0.865) loss_pose: 0.000276 loss_cons: 0.000514 -2023-07-26 17:57:09,164 Epoch: [73][300/631] Time 1.582s (1.574s) Speed 20.2 samples/s Data 0.000s (0.014s) Loss 0.000797 (0.000673) Accuracy 0.825 (0.864) loss_pose: 0.000237 loss_cons: 0.000560 -2023-07-26 17:59:45,358 Epoch: [73][400/631] Time 1.526s (1.571s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000654 (0.000672) Accuracy 0.898 (0.864) loss_pose: 0.000203 loss_cons: 0.000451 -2023-07-26 18:02:19,902 Epoch: [73][500/631] Time 1.520s (1.566s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000639 (0.000673) Accuracy 0.852 (0.863) loss_pose: 0.000251 loss_cons: 0.000388 -2023-07-26 18:04:56,198 Epoch: [73][600/631] Time 1.511s (1.565s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000614 (0.000673) Accuracy 0.914 (0.862) loss_pose: 0.000192 loss_cons: 0.000422 -2023-07-26 18:05:41,564 Epoch: [73][630/631] Time 1.508s (1.563s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000646 (0.000673) Accuracy 0.887 (0.862) loss_pose: 0.000238 loss_cons: 0.000408 -2023-07-26 18:05:47,653 Test: [0/199] Time 3.935 (3.935) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-26 18:06:08,495 Test: [100/199] Time 0.202 (0.247) Loss 0.0002 (0.0002) Accuracy 0.886 (0.859) -2023-07-26 18:06:27,122 Test: [198/199] Time 0.135 (0.219) Loss 0.0002 (0.0002) Accuracy 0.934 (0.858) -2023-07-26 18:06:31,161 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 18:06:40,163 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:06:40,206 The Predictions of Net 1 -2023-07-26 18:06:40,206 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:06:40,207 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:06:40,207 | 256x192_pose_dual_101_d256d256d256 | 0.7115 | 0.9156 | 0.7934 | 0.6867 | 0.7482 | 0.7425 | 0.9279 | 0.8130 | 0.7115 | 0.7890 | -2023-07-26 18:06:40,896 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 18:06:45,646 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:06:45,679 The Predictions of Net 2 -2023-07-26 18:06:45,680 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:06:45,680 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:06:45,680 | 256x192_pose_dual_101_d256d256d256 | 0.7110 | 0.9154 | 0.7933 | 0.6924 | 0.7484 | 0.7439 | 0.9270 | 0.8150 | 0.7136 | 0.7893 | -2023-07-26 18:06:46,367 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 18:06:51,164 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:06:51,200 Ensemble Predictions -2023-07-26 18:06:51,200 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:06:51,201 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:06:51,201 | 256x192_pose_dual_101_d256d256d256 | 0.7224 | 0.9255 | 0.8042 | 0.7004 | 0.7590 | 0.7534 | 0.9317 | 0.8253 | 0.7229 | 0.7994 | -2023-07-26 18:06:51,202 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 18:07:01,512 Epoch: [74][0/631] Time 5.990s (5.990s) Speed 5.3 samples/s Data 4.306s (4.306s) Loss 0.000733 (0.000733) Accuracy 0.900 (0.900) loss_pose: 0.000234 loss_cons: 0.000499 -2023-07-26 18:09:37,206 Epoch: [74][100/631] Time 1.520s (1.601s) Speed 21.1 samples/s Data 0.000s (0.043s) Loss 0.000624 (0.000672) Accuracy 0.857 (0.862) loss_pose: 0.000217 loss_cons: 0.000408 -2023-07-26 18:12:11,585 Epoch: [74][200/631] Time 1.511s (1.572s) Speed 21.2 samples/s Data 0.000s (0.022s) Loss 0.000642 (0.000667) Accuracy 0.863 (0.861) loss_pose: 0.000226 loss_cons: 0.000417 -2023-07-26 18:14:45,369 Epoch: [74][300/631] Time 1.514s (1.561s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000735 (0.000669) Accuracy 0.893 (0.862) loss_pose: 0.000189 loss_cons: 0.000546 -2023-07-26 18:17:20,437 Epoch: [74][400/631] Time 1.591s (1.558s) Speed 20.1 samples/s Data 0.000s (0.011s) Loss 0.000700 (0.000667) Accuracy 0.788 (0.862) loss_pose: 0.000286 loss_cons: 0.000415 -2023-07-26 18:19:54,266 Epoch: [74][500/631] Time 1.532s (1.554s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000816 (0.000669) Accuracy 0.857 (0.863) loss_pose: 0.000269 loss_cons: 0.000547 -2023-07-26 18:22:29,383 Epoch: [74][600/631] Time 1.506s (1.554s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000621 (0.000669) Accuracy 0.842 (0.863) loss_pose: 0.000218 loss_cons: 0.000403 -2023-07-26 18:23:14,768 Epoch: [74][630/631] Time 1.511s (1.552s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000700 (0.000669) Accuracy 0.846 (0.863) loss_pose: 0.000231 loss_cons: 0.000468 -2023-07-26 18:23:22,289 Test: [0/199] Time 5.187 (5.187) Loss 0.0002 (0.0002) Accuracy 0.879 (0.879) -2023-07-26 18:23:42,401 Test: [100/199] Time 0.197 (0.252) Loss 0.0002 (0.0002) Accuracy 0.910 (0.861) -2023-07-26 18:24:01,115 Test: [198/199] Time 0.180 (0.222) Loss 0.0002 (0.0002) Accuracy 0.915 (0.859) -2023-07-26 18:24:02,429 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 18:24:12,112 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:24:12,150 The Predictions of Net 1 -2023-07-26 18:24:12,151 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:24:12,152 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:24:12,152 | 256x192_pose_dual_101_d256d256d256 | 0.7120 | 0.9159 | 0.7943 | 0.6888 | 0.7506 | 0.7435 | 0.9292 | 0.8141 | 0.7116 | 0.7915 | -2023-07-26 18:24:14,975 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 18:24:19,865 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:24:19,906 The Predictions of Net 2 -2023-07-26 18:24:19,907 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:24:19,907 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:24:19,907 | 256x192_pose_dual_101_d256d256d256 | 0.7129 | 0.9160 | 0.7927 | 0.6926 | 0.7501 | 0.7458 | 0.9296 | 0.8164 | 0.7155 | 0.7912 | -2023-07-26 18:24:20,599 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 18:24:25,414 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:24:25,448 Ensemble Predictions -2023-07-26 18:24:25,449 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:24:25,449 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:24:25,449 | 256x192_pose_dual_101_d256d256d256 | 0.7229 | 0.9258 | 0.8040 | 0.6996 | 0.7598 | 0.7541 | 0.9332 | 0.8234 | 0.7237 | 0.8000 | -2023-07-26 18:24:25,450 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 18:24:34,740 Epoch: [75][0/631] Time 5.257s (5.257s) Speed 6.1 samples/s Data 3.544s (3.544s) Loss 0.000635 (0.000635) Accuracy 0.860 (0.860) loss_pose: 0.000215 loss_cons: 0.000420 -2023-07-26 18:27:09,252 Epoch: [75][100/631] Time 1.524s (1.582s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000606 (0.000658) Accuracy 0.930 (0.865) loss_pose: 0.000182 loss_cons: 0.000424 -2023-07-26 18:29:42,419 Epoch: [75][200/631] Time 1.506s (1.557s) Speed 21.2 samples/s Data 0.000s (0.018s) Loss 0.000775 (0.000665) Accuracy 0.849 (0.863) loss_pose: 0.000234 loss_cons: 0.000541 -2023-07-26 18:32:17,265 Epoch: [75][300/631] Time 1.579s (1.554s) Speed 20.3 samples/s Data 0.000s (0.012s) Loss 0.000652 (0.000667) Accuracy 0.849 (0.865) loss_pose: 0.000257 loss_cons: 0.000396 -2023-07-26 18:34:51,085 Epoch: [75][400/631] Time 1.515s (1.550s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000668 (0.000666) Accuracy 0.875 (0.865) loss_pose: 0.000200 loss_cons: 0.000469 -2023-07-26 18:37:26,294 Epoch: [75][500/631] Time 1.521s (1.551s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000597 (0.000667) Accuracy 0.855 (0.865) loss_pose: 0.000236 loss_cons: 0.000361 -2023-07-26 18:39:59,828 Epoch: [75][600/631] Time 1.517s (1.548s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000707 (0.000667) Accuracy 0.832 (0.865) loss_pose: 0.000227 loss_cons: 0.000480 -2023-07-26 18:40:45,213 Epoch: [75][630/631] Time 1.521s (1.546s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000630 (0.000667) Accuracy 0.851 (0.865) loss_pose: 0.000251 loss_cons: 0.000380 -2023-07-26 18:40:52,820 Test: [0/199] Time 5.264 (5.264) Loss 0.0002 (0.0002) Accuracy 0.888 (0.888) -2023-07-26 18:41:12,718 Test: [100/199] Time 0.196 (0.250) Loss 0.0002 (0.0002) Accuracy 0.896 (0.861) -2023-07-26 18:41:31,361 Test: [198/199] Time 0.137 (0.221) Loss 0.0002 (0.0002) Accuracy 0.923 (0.859) -2023-07-26 18:41:33,321 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 18:41:42,637 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:41:42,704 The Predictions of Net 1 -2023-07-26 18:41:42,706 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:41:42,707 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:41:42,707 | 256x192_pose_dual_101_d256d256d256 | 0.7117 | 0.9256 | 0.7919 | 0.6894 | 0.7471 | 0.7438 | 0.9314 | 0.8141 | 0.7129 | 0.7906 | -2023-07-26 18:41:43,475 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 18:41:50,418 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:41:50,453 The Predictions of Net 2 -2023-07-26 18:41:50,454 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:41:50,454 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:41:50,454 | 256x192_pose_dual_101_d256d256d256 | 0.7086 | 0.9153 | 0.7912 | 0.6842 | 0.7483 | 0.7419 | 0.9281 | 0.8122 | 0.7102 | 0.7890 | -2023-07-26 18:41:51,144 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 18:41:55,935 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:41:55,967 Ensemble Predictions -2023-07-26 18:41:55,968 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:41:55,968 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:41:55,968 | 256x192_pose_dual_101_d256d256d256 | 0.7222 | 0.9257 | 0.8028 | 0.6965 | 0.7607 | 0.7542 | 0.9331 | 0.8246 | 0.7229 | 0.8013 | -2023-07-26 18:41:55,970 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 18:42:04,058 Epoch: [76][0/631] Time 5.062s (5.062s) Speed 6.3 samples/s Data 3.361s (3.361s) Loss 0.000644 (0.000644) Accuracy 0.821 (0.821) loss_pose: 0.000241 loss_cons: 0.000403 -2023-07-26 18:44:38,758 Epoch: [76][100/631] Time 1.538s (1.582s) Speed 20.8 samples/s Data 0.000s (0.034s) Loss 0.000619 (0.000658) Accuracy 0.834 (0.863) loss_pose: 0.000238 loss_cons: 0.000381 -2023-07-26 18:47:13,124 Epoch: [76][200/631] Time 1.601s (1.563s) Speed 20.0 samples/s Data 0.000s (0.017s) Loss 0.000722 (0.000664) Accuracy 0.814 (0.863) loss_pose: 0.000265 loss_cons: 0.000458 -2023-07-26 18:49:47,736 Epoch: [76][300/631] Time 1.519s (1.557s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000784 (0.000664) Accuracy 0.840 (0.865) loss_pose: 0.000266 loss_cons: 0.000518 -2023-07-26 18:52:22,437 Epoch: [76][400/631] Time 1.599s (1.555s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000666 (0.000665) Accuracy 0.829 (0.865) loss_pose: 0.000248 loss_cons: 0.000419 -2023-07-26 18:54:56,551 Epoch: [76][500/631] Time 1.538s (1.552s) Speed 20.8 samples/s Data 0.000s (0.007s) Loss 0.000634 (0.000666) Accuracy 0.894 (0.864) loss_pose: 0.000235 loss_cons: 0.000399 -2023-07-26 18:57:32,368 Epoch: [76][600/631] Time 1.629s (1.553s) Speed 19.6 samples/s Data 0.000s (0.006s) Loss 0.000653 (0.000667) Accuracy 0.894 (0.865) loss_pose: 0.000221 loss_cons: 0.000432 -2023-07-26 18:58:18,682 Epoch: [76][630/631] Time 1.521s (1.553s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000719 (0.000667) Accuracy 0.881 (0.865) loss_pose: 0.000227 loss_cons: 0.000492 -2023-07-26 18:58:26,092 Test: [0/199] Time 5.465 (5.465) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-26 18:58:46,282 Test: [100/199] Time 0.205 (0.255) Loss 0.0002 (0.0002) Accuracy 0.888 (0.859) -2023-07-26 18:59:05,028 Test: [198/199] Time 0.148 (0.224) Loss 0.0002 (0.0002) Accuracy 0.913 (0.859) -2023-07-26 18:59:06,711 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 18:59:16,468 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:59:16,509 The Predictions of Net 1 -2023-07-26 18:59:16,510 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:59:16,510 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:59:16,510 | 256x192_pose_dual_101_d256d256d256 | 0.7132 | 0.9254 | 0.7938 | 0.6918 | 0.7506 | 0.7454 | 0.9307 | 0.8163 | 0.7143 | 0.7923 | -2023-07-26 18:59:17,203 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 18:59:21,939 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:59:21,973 The Predictions of Net 2 -2023-07-26 18:59:21,973 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:59:21,974 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:59:21,974 | 256x192_pose_dual_101_d256d256d256 | 0.7126 | 0.9250 | 0.7927 | 0.6885 | 0.7513 | 0.7440 | 0.9309 | 0.8123 | 0.7120 | 0.7919 | -2023-07-26 18:59:22,662 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 18:59:27,464 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 18:59:27,497 Ensemble Predictions -2023-07-26 18:59:27,498 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 18:59:27,499 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 18:59:27,499 | 256x192_pose_dual_101_d256d256d256 | 0.7242 | 0.9258 | 0.8041 | 0.7017 | 0.7610 | 0.7551 | 0.9355 | 0.8238 | 0.7249 | 0.8006 | -2023-07-26 18:59:27,500 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 18:59:38,722 Epoch: [77][0/631] Time 5.001s (5.001s) Speed 6.4 samples/s Data 3.214s (3.214s) Loss 0.000654 (0.000654) Accuracy 0.838 (0.838) loss_pose: 0.000262 loss_cons: 0.000392 -2023-07-26 19:02:12,625 Epoch: [77][100/631] Time 1.513s (1.573s) Speed 21.2 samples/s Data 0.000s (0.032s) Loss 0.000646 (0.000657) Accuracy 0.892 (0.863) loss_pose: 0.000207 loss_cons: 0.000439 -2023-07-26 19:04:48,735 Epoch: [77][200/631] Time 1.510s (1.567s) Speed 21.2 samples/s Data 0.000s (0.016s) Loss 0.000802 (0.000665) Accuracy 0.872 (0.862) loss_pose: 0.000251 loss_cons: 0.000550 -2023-07-26 19:07:30,775 Epoch: [77][300/631] Time 1.612s (1.585s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000739 (0.000660) Accuracy 0.824 (0.863) loss_pose: 0.000260 loss_cons: 0.000480 -2023-07-26 19:10:09,780 Epoch: [77][400/631] Time 1.595s (1.586s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000594 (0.000662) Accuracy 0.879 (0.864) loss_pose: 0.000187 loss_cons: 0.000407 -2023-07-26 19:12:43,637 Epoch: [77][500/631] Time 1.599s (1.577s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000571 (0.000663) Accuracy 0.892 (0.864) loss_pose: 0.000230 loss_cons: 0.000341 -2023-07-26 19:15:17,503 Epoch: [77][600/631] Time 1.517s (1.570s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000694 (0.000663) Accuracy 0.877 (0.864) loss_pose: 0.000273 loss_cons: 0.000421 -2023-07-26 19:16:02,968 Epoch: [77][630/631] Time 1.512s (1.568s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000632 (0.000663) Accuracy 0.889 (0.864) loss_pose: 0.000219 loss_cons: 0.000413 -2023-07-26 19:16:10,795 Test: [0/199] Time 5.755 (5.755) Loss 0.0002 (0.0002) Accuracy 0.881 (0.881) -2023-07-26 19:16:30,779 Test: [100/199] Time 0.206 (0.256) Loss 0.0002 (0.0002) Accuracy 0.897 (0.859) -2023-07-26 19:16:49,633 Test: [198/199] Time 0.232 (0.225) Loss 0.0002 (0.0002) Accuracy 0.887 (0.858) -2023-07-26 19:16:51,093 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 19:17:00,230 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:17:00,272 The Predictions of Net 1 -2023-07-26 19:17:00,274 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:17:00,274 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:17:00,274 | 256x192_pose_dual_101_d256d256d256 | 0.7105 | 0.9156 | 0.7930 | 0.6901 | 0.7474 | 0.7438 | 0.9273 | 0.8142 | 0.7130 | 0.7900 | -2023-07-26 19:17:00,985 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 19:17:05,871 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:17:05,907 The Predictions of Net 2 -2023-07-26 19:17:05,908 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:17:05,909 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:17:05,909 | 256x192_pose_dual_101_d256d256d256 | 0.7112 | 0.9158 | 0.7941 | 0.6900 | 0.7485 | 0.7441 | 0.9292 | 0.8177 | 0.7134 | 0.7901 | -2023-07-26 19:17:06,607 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 19:17:11,470 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:17:11,508 Ensemble Predictions -2023-07-26 19:17:11,509 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:17:11,510 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:17:11,510 | 256x192_pose_dual_101_d256d256d256 | 0.7232 | 0.9254 | 0.8047 | 0.7026 | 0.7590 | 0.7546 | 0.9332 | 0.8241 | 0.7247 | 0.7996 | -2023-07-26 19:17:11,511 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 19:17:20,105 Epoch: [78][0/631] Time 5.601s (5.601s) Speed 5.7 samples/s Data 3.895s (3.895s) Loss 0.000538 (0.000538) Accuracy 0.900 (0.900) loss_pose: 0.000200 loss_cons: 0.000338 -2023-07-26 19:19:54,999 Epoch: [78][100/631] Time 1.516s (1.589s) Speed 21.1 samples/s Data 0.001s (0.039s) Loss 0.000643 (0.000646) Accuracy 0.838 (0.864) loss_pose: 0.000251 loss_cons: 0.000392 -2023-07-26 19:22:30,463 Epoch: [78][200/631] Time 1.522s (1.572s) Speed 21.0 samples/s Data 0.000s (0.020s) Loss 0.000666 (0.000652) Accuracy 0.823 (0.864) loss_pose: 0.000304 loss_cons: 0.000362 -2023-07-26 19:25:05,033 Epoch: [78][300/631] Time 1.545s (1.563s) Speed 20.7 samples/s Data 0.000s (0.013s) Loss 0.000675 (0.000654) Accuracy 0.778 (0.864) loss_pose: 0.000262 loss_cons: 0.000413 -2023-07-26 19:27:38,512 Epoch: [78][400/631] Time 1.521s (1.556s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000561 (0.000660) Accuracy 0.868 (0.864) loss_pose: 0.000213 loss_cons: 0.000348 -2023-07-26 19:30:13,488 Epoch: [78][500/631] Time 1.581s (1.555s) Speed 20.2 samples/s Data 0.000s (0.008s) Loss 0.000749 (0.000660) Accuracy 0.852 (0.865) loss_pose: 0.000260 loss_cons: 0.000489 -2023-07-26 19:32:47,918 Epoch: [78][600/631] Time 1.515s (1.553s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000695 (0.000660) Accuracy 0.863 (0.865) loss_pose: 0.000246 loss_cons: 0.000449 -2023-07-26 19:33:33,151 Epoch: [78][630/631] Time 1.515s (1.551s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000608 (0.000660) Accuracy 0.820 (0.865) loss_pose: 0.000247 loss_cons: 0.000362 -2023-07-26 19:33:40,388 Test: [0/199] Time 4.803 (4.803) Loss 0.0002 (0.0002) Accuracy 0.887 (0.887) -2023-07-26 19:34:01,237 Test: [100/199] Time 0.196 (0.256) Loss 0.0002 (0.0002) Accuracy 0.900 (0.861) -2023-07-26 19:34:20,121 Test: [198/199] Time 0.227 (0.225) Loss 0.0002 (0.0002) Accuracy 0.880 (0.860) -2023-07-26 19:34:21,546 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 19:34:32,864 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:34:32,909 The Predictions of Net 1 -2023-07-26 19:34:32,910 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:34:32,911 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:34:32,911 | 256x192_pose_dual_101_d256d256d256 | 0.7134 | 0.9154 | 0.7936 | 0.6933 | 0.7510 | 0.7461 | 0.9276 | 0.8193 | 0.7158 | 0.7921 | -2023-07-26 19:34:33,615 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 19:34:38,441 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:34:38,480 The Predictions of Net 2 -2023-07-26 19:34:38,481 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:34:38,481 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:34:38,481 | 256x192_pose_dual_101_d256d256d256 | 0.7155 | 0.9247 | 0.7941 | 0.6949 | 0.7531 | 0.7480 | 0.9309 | 0.8180 | 0.7178 | 0.7935 | -2023-07-26 19:34:39,182 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 19:34:43,933 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:34:43,970 Ensemble Predictions -2023-07-26 19:34:43,971 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:34:43,972 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:34:43,972 | 256x192_pose_dual_101_d256d256d256 | 0.7266 | 0.9255 | 0.8044 | 0.7059 | 0.7631 | 0.7578 | 0.9351 | 0.8268 | 0.7279 | 0.8032 | -2023-07-26 19:34:43,973 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 19:34:52,888 Epoch: [79][0/631] Time 4.962s (4.962s) Speed 6.4 samples/s Data 3.227s (3.227s) Loss 0.000652 (0.000652) Accuracy 0.852 (0.852) loss_pose: 0.000243 loss_cons: 0.000409 -2023-07-26 19:37:28,452 Epoch: [79][100/631] Time 1.607s (1.589s) Speed 19.9 samples/s Data 0.000s (0.032s) Loss 0.000630 (0.000650) Accuracy 0.836 (0.864) loss_pose: 0.000283 loss_cons: 0.000347 -2023-07-26 19:40:03,128 Epoch: [79][200/631] Time 1.526s (1.568s) Speed 21.0 samples/s Data 0.000s (0.017s) Loss 0.000753 (0.000656) Accuracy 0.847 (0.865) loss_pose: 0.000250 loss_cons: 0.000503 -2023-07-26 19:42:36,575 Epoch: [79][300/631] Time 1.590s (1.557s) Speed 20.1 samples/s Data 0.000s (0.011s) Loss 0.000706 (0.000659) Accuracy 0.837 (0.866) loss_pose: 0.000239 loss_cons: 0.000467 -2023-07-26 19:45:12,518 Epoch: [79][400/631] Time 1.610s (1.558s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000620 (0.000658) Accuracy 0.868 (0.866) loss_pose: 0.000207 loss_cons: 0.000414 -2023-07-26 19:47:46,368 Epoch: [79][500/631] Time 1.614s (1.554s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000604 (0.000658) Accuracy 0.919 (0.864) loss_pose: 0.000218 loss_cons: 0.000386 -2023-07-26 19:50:19,153 Epoch: [79][600/631] Time 1.509s (1.549s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000765 (0.000657) Accuracy 0.841 (0.865) loss_pose: 0.000214 loss_cons: 0.000551 -2023-07-26 19:51:04,483 Epoch: [79][630/631] Time 1.500s (1.548s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000648 (0.000657) Accuracy 0.871 (0.864) loss_pose: 0.000251 loss_cons: 0.000397 -2023-07-26 19:51:11,502 Test: [0/199] Time 4.649 (4.649) Loss 0.0002 (0.0002) Accuracy 0.896 (0.896) -2023-07-26 19:51:32,558 Test: [100/199] Time 0.198 (0.257) Loss 0.0002 (0.0002) Accuracy 0.898 (0.861) -2023-07-26 19:51:51,878 Test: [198/199] Time 0.260 (0.228) Loss 0.0002 (0.0002) Accuracy 0.884 (0.859) -2023-07-26 19:51:52,924 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 19:52:02,474 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:52:02,513 The Predictions of Net 1 -2023-07-26 19:52:02,514 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:52:02,514 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:52:02,515 | 256x192_pose_dual_101_d256d256d256 | 0.7125 | 0.9156 | 0.7932 | 0.6913 | 0.7512 | 0.7453 | 0.9298 | 0.8185 | 0.7135 | 0.7934 | -2023-07-26 19:52:03,208 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 19:52:10,113 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:52:10,151 The Predictions of Net 2 -2023-07-26 19:52:10,151 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:52:10,152 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:52:10,152 | 256x192_pose_dual_101_d256d256d256 | 0.7156 | 0.9251 | 0.7931 | 0.6920 | 0.7536 | 0.7472 | 0.9315 | 0.8168 | 0.7150 | 0.7955 | -2023-07-26 19:52:10,839 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 19:52:15,649 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 19:52:15,685 Ensemble Predictions -2023-07-26 19:52:15,685 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 19:52:15,686 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 19:52:15,686 | 256x192_pose_dual_101_d256d256d256 | 0.7240 | 0.9259 | 0.8050 | 0.7008 | 0.7617 | 0.7551 | 0.9326 | 0.8286 | 0.7235 | 0.8029 | -2023-07-26 19:52:15,687 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 19:52:24,394 Epoch: [80][0/631] Time 5.710s (5.710s) Speed 5.6 samples/s Data 4.019s (4.019s) Loss 0.000716 (0.000716) Accuracy 0.866 (0.866) loss_pose: 0.000247 loss_cons: 0.000469 -2023-07-26 19:54:58,629 Epoch: [80][100/631] Time 1.515s (1.584s) Speed 21.1 samples/s Data 0.000s (0.040s) Loss 0.000602 (0.000651) Accuracy 0.852 (0.865) loss_pose: 0.000241 loss_cons: 0.000361 -2023-07-26 19:57:33,272 Epoch: [80][200/631] Time 1.521s (1.565s) Speed 21.0 samples/s Data 0.001s (0.020s) Loss 0.000826 (0.000658) Accuracy 0.831 (0.864) loss_pose: 0.000295 loss_cons: 0.000530 -2023-07-26 20:00:08,005 Epoch: [80][300/631] Time 1.521s (1.559s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000625 (0.000657) Accuracy 0.871 (0.865) loss_pose: 0.000215 loss_cons: 0.000410 -2023-07-26 20:02:41,916 Epoch: [80][400/631] Time 1.523s (1.554s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000682 (0.000660) Accuracy 0.869 (0.865) loss_pose: 0.000225 loss_cons: 0.000458 -2023-07-26 20:05:17,041 Epoch: [80][500/631] Time 1.527s (1.554s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000710 (0.000660) Accuracy 0.911 (0.865) loss_pose: 0.000213 loss_cons: 0.000498 -2023-07-26 20:07:50,131 Epoch: [80][600/631] Time 1.524s (1.550s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000802 (0.000660) Accuracy 0.835 (0.865) loss_pose: 0.000254 loss_cons: 0.000548 -2023-07-26 20:08:35,516 Epoch: [80][630/631] Time 1.520s (1.548s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000673 (0.000661) Accuracy 0.866 (0.866) loss_pose: 0.000272 loss_cons: 0.000402 -2023-07-26 20:08:42,381 Test: [0/199] Time 4.671 (4.671) Loss 0.0002 (0.0002) Accuracy 0.884 (0.884) -2023-07-26 20:09:03,019 Test: [100/199] Time 0.198 (0.253) Loss 0.0002 (0.0002) Accuracy 0.900 (0.860) -2023-07-26 20:09:21,702 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.861 (0.858) -2023-07-26 20:09:23,695 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 20:09:33,633 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:09:33,667 The Predictions of Net 1 -2023-07-26 20:09:33,668 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:09:33,669 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:09:33,669 | 256x192_pose_dual_101_d256d256d256 | 0.7123 | 0.9158 | 0.7942 | 0.6902 | 0.7508 | 0.7447 | 0.9279 | 0.8166 | 0.7135 | 0.7916 | -2023-07-26 20:09:34,371 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 20:09:39,163 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:09:39,196 The Predictions of Net 2 -2023-07-26 20:09:39,197 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:09:39,197 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:09:39,197 | 256x192_pose_dual_101_d256d256d256 | 0.7122 | 0.9156 | 0.7941 | 0.6913 | 0.7501 | 0.7458 | 0.9292 | 0.8186 | 0.7149 | 0.7919 | -2023-07-26 20:09:39,887 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 20:09:46,734 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:09:46,771 Ensemble Predictions -2023-07-26 20:09:46,772 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:09:46,773 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:09:46,773 | 256x192_pose_dual_101_d256d256d256 | 0.7247 | 0.9257 | 0.8045 | 0.7031 | 0.7603 | 0.7563 | 0.9329 | 0.8284 | 0.7265 | 0.8011 | -2023-07-26 20:09:46,774 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 20:09:54,855 Epoch: [81][0/631] Time 5.098s (5.098s) Speed 6.3 samples/s Data 3.403s (3.403s) Loss 0.000579 (0.000579) Accuracy 0.886 (0.886) loss_pose: 0.000219 loss_cons: 0.000360 -2023-07-26 20:12:29,747 Epoch: [81][100/631] Time 1.520s (1.584s) Speed 21.0 samples/s Data 0.000s (0.034s) Loss 0.000601 (0.000657) Accuracy 0.896 (0.862) loss_pose: 0.000205 loss_cons: 0.000396 -2023-07-26 20:15:05,315 Epoch: [81][200/631] Time 1.613s (1.570s) Speed 19.8 samples/s Data 0.000s (0.017s) Loss 0.000812 (0.000657) Accuracy 0.874 (0.867) loss_pose: 0.000209 loss_cons: 0.000603 -2023-07-26 20:17:40,578 Epoch: [81][300/631] Time 1.517s (1.564s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000763 (0.000659) Accuracy 0.849 (0.866) loss_pose: 0.000249 loss_cons: 0.000514 -2023-07-26 20:20:16,057 Epoch: [81][400/631] Time 1.511s (1.562s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000657 (0.000658) Accuracy 0.843 (0.865) loss_pose: 0.000250 loss_cons: 0.000406 -2023-07-26 20:22:51,187 Epoch: [81][500/631] Time 1.511s (1.560s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000641 (0.000658) Accuracy 0.881 (0.865) loss_pose: 0.000230 loss_cons: 0.000410 -2023-07-26 20:25:26,333 Epoch: [81][600/631] Time 1.505s (1.558s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000696 (0.000660) Accuracy 0.796 (0.865) loss_pose: 0.000268 loss_cons: 0.000428 -2023-07-26 20:26:11,645 Epoch: [81][630/631] Time 1.508s (1.556s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000596 (0.000660) Accuracy 0.891 (0.865) loss_pose: 0.000218 loss_cons: 0.000378 -2023-07-26 20:26:19,558 Test: [0/199] Time 5.708 (5.708) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-26 20:26:39,575 Test: [100/199] Time 0.209 (0.255) Loss 0.0002 (0.0002) Accuracy 0.899 (0.859) -2023-07-26 20:26:58,233 Test: [198/199] Time 0.136 (0.223) Loss 0.0002 (0.0002) Accuracy 0.884 (0.859) -2023-07-26 20:27:00,215 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 20:27:09,605 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:27:09,643 The Predictions of Net 1 -2023-07-26 20:27:09,644 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:27:09,644 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:27:09,644 | 256x192_pose_dual_101_d256d256d256 | 0.7140 | 0.9159 | 0.7942 | 0.6958 | 0.7504 | 0.7472 | 0.9282 | 0.8166 | 0.7172 | 0.7921 | -2023-07-26 20:27:10,350 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 20:27:15,192 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:27:15,235 The Predictions of Net 2 -2023-07-26 20:27:15,236 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:27:15,236 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:27:15,236 | 256x192_pose_dual_101_d256d256d256 | 0.7147 | 0.9251 | 0.7942 | 0.6920 | 0.7523 | 0.7453 | 0.9304 | 0.8161 | 0.7149 | 0.7909 | -2023-07-26 20:27:15,931 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 20:27:20,714 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:27:20,749 Ensemble Predictions -2023-07-26 20:27:20,750 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:27:20,750 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:27:20,750 | 256x192_pose_dual_101_d256d256d256 | 0.7260 | 0.9260 | 0.8055 | 0.7021 | 0.7610 | 0.7558 | 0.9342 | 0.8256 | 0.7249 | 0.8021 | -2023-07-26 20:27:20,751 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 20:27:30,292 Epoch: [82][0/631] Time 6.285s (6.285s) Speed 5.1 samples/s Data 4.635s (4.635s) Loss 0.000644 (0.000644) Accuracy 0.887 (0.887) loss_pose: 0.000225 loss_cons: 0.000419 -2023-07-26 20:30:05,811 Epoch: [82][100/631] Time 1.525s (1.602s) Speed 21.0 samples/s Data 0.000s (0.046s) Loss 0.000639 (0.000656) Accuracy 0.876 (0.868) loss_pose: 0.000253 loss_cons: 0.000387 -2023-07-26 20:32:39,303 Epoch: [82][200/631] Time 1.509s (1.569s) Speed 21.2 samples/s Data 0.000s (0.023s) Loss 0.000760 (0.000654) Accuracy 0.832 (0.868) loss_pose: 0.000250 loss_cons: 0.000510 -2023-07-26 20:35:12,159 Epoch: [82][300/631] Time 1.542s (1.555s) Speed 20.7 samples/s Data 0.000s (0.016s) Loss 0.000648 (0.000651) Accuracy 0.848 (0.868) loss_pose: 0.000254 loss_cons: 0.000393 -2023-07-26 20:37:46,345 Epoch: [82][400/631] Time 1.522s (1.552s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000632 (0.000653) Accuracy 0.881 (0.868) loss_pose: 0.000188 loss_cons: 0.000444 -2023-07-26 20:40:21,080 Epoch: [82][500/631] Time 1.518s (1.551s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000633 (0.000653) Accuracy 0.919 (0.868) loss_pose: 0.000225 loss_cons: 0.000408 -2023-07-26 20:42:55,085 Epoch: [82][600/631] Time 1.511s (1.549s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000664 (0.000653) Accuracy 0.834 (0.868) loss_pose: 0.000271 loss_cons: 0.000394 -2023-07-26 20:43:40,666 Epoch: [82][630/631] Time 1.512s (1.548s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000730 (0.000654) Accuracy 0.838 (0.868) loss_pose: 0.000263 loss_cons: 0.000467 -2023-07-26 20:43:48,378 Test: [0/199] Time 5.569 (5.569) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-26 20:44:08,454 Test: [100/199] Time 0.205 (0.254) Loss 0.0002 (0.0002) Accuracy 0.889 (0.863) -2023-07-26 20:44:27,405 Test: [198/199] Time 0.214 (0.225) Loss 0.0002 (0.0002) Accuracy 0.943 (0.862) -2023-07-26 20:44:32,519 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 20:44:40,127 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:44:40,162 The Predictions of Net 1 -2023-07-26 20:44:40,163 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:44:40,163 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:44:40,163 | 256x192_pose_dual_101_d256d256d256 | 0.7168 | 0.9255 | 0.7942 | 0.6950 | 0.7552 | 0.7495 | 0.9314 | 0.8191 | 0.7179 | 0.7971 | -2023-07-26 20:44:40,855 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 20:44:45,574 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:44:45,611 The Predictions of Net 2 -2023-07-26 20:44:45,612 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:44:45,613 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:44:45,613 | 256x192_pose_dual_101_d256d256d256 | 0.7126 | 0.9155 | 0.7923 | 0.6912 | 0.7528 | 0.7459 | 0.9295 | 0.8163 | 0.7141 | 0.7937 | -2023-07-26 20:44:46,298 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 20:44:51,008 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 20:44:51,042 Ensemble Predictions -2023-07-26 20:44:51,043 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 20:44:51,043 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 20:44:51,043 | 256x192_pose_dual_101_d256d256d256 | 0.7273 | 0.9255 | 0.8039 | 0.7024 | 0.7658 | 0.7575 | 0.9328 | 0.8270 | 0.7262 | 0.8048 | -2023-07-26 20:44:51,044 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 20:44:59,989 Epoch: [83][0/631] Time 4.948s (4.948s) Speed 6.5 samples/s Data 3.146s (3.146s) Loss 0.000650 (0.000650) Accuracy 0.920 (0.920) loss_pose: 0.000195 loss_cons: 0.000455 -2023-07-26 20:47:35,201 Epoch: [83][100/631] Time 1.612s (1.586s) Speed 19.9 samples/s Data 0.000s (0.032s) Loss 0.000685 (0.000649) Accuracy 0.854 (0.864) loss_pose: 0.000232 loss_cons: 0.000453 -2023-07-26 20:50:10,591 Epoch: [83][200/631] Time 1.521s (1.570s) Speed 21.0 samples/s Data 0.000s (0.016s) Loss 0.000873 (0.000653) Accuracy 0.833 (0.868) loss_pose: 0.000267 loss_cons: 0.000606 -2023-07-26 20:52:44,907 Epoch: [83][300/631] Time 1.601s (1.561s) Speed 20.0 samples/s Data 0.000s (0.011s) Loss 0.000625 (0.000653) Accuracy 0.907 (0.868) loss_pose: 0.000199 loss_cons: 0.000426 -2023-07-26 20:55:19,929 Epoch: [83][400/631] Time 1.518s (1.558s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000764 (0.000655) Accuracy 0.871 (0.869) loss_pose: 0.000250 loss_cons: 0.000514 -2023-07-26 20:57:54,891 Epoch: [83][500/631] Time 1.638s (1.557s) Speed 19.5 samples/s Data 0.000s (0.007s) Loss 0.000683 (0.000659) Accuracy 0.898 (0.867) loss_pose: 0.000199 loss_cons: 0.000485 -2023-07-26 21:00:28,893 Epoch: [83][600/631] Time 1.609s (1.554s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000746 (0.000663) Accuracy 0.867 (0.865) loss_pose: 0.000232 loss_cons: 0.000513 -2023-07-26 21:01:14,512 Epoch: [83][630/631] Time 1.508s (1.552s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000656 (0.000664) Accuracy 0.881 (0.865) loss_pose: 0.000248 loss_cons: 0.000408 -2023-07-26 21:01:22,679 Test: [0/199] Time 5.788 (5.788) Loss 0.0002 (0.0002) Accuracy 0.894 (0.894) -2023-07-26 21:01:42,864 Test: [100/199] Time 0.206 (0.257) Loss 0.0002 (0.0002) Accuracy 0.885 (0.859) -2023-07-26 21:02:01,610 Test: [198/199] Time 0.144 (0.225) Loss 0.0002 (0.0002) Accuracy 0.893 (0.858) -2023-07-26 21:02:02,993 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 21:02:12,611 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:02:12,651 The Predictions of Net 1 -2023-07-26 21:02:12,652 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:02:12,653 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:02:12,653 | 256x192_pose_dual_101_d256d256d256 | 0.7106 | 0.9159 | 0.7923 | 0.6897 | 0.7458 | 0.7423 | 0.9282 | 0.8119 | 0.7117 | 0.7880 | -2023-07-26 21:02:15,475 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 21:02:20,305 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:02:20,337 The Predictions of Net 2 -2023-07-26 21:02:20,337 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:02:20,338 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:02:20,339 | 256x192_pose_dual_101_d256d256d256 | 0.7127 | 0.9154 | 0.7935 | 0.6899 | 0.7514 | 0.7453 | 0.9284 | 0.8169 | 0.7135 | 0.7930 | -2023-07-26 21:02:21,028 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 21:02:25,771 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:02:25,809 Ensemble Predictions -2023-07-26 21:02:25,810 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:02:25,810 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:02:25,810 | 256x192_pose_dual_101_d256d256d256 | 0.7218 | 0.9255 | 0.8035 | 0.7000 | 0.7595 | 0.7539 | 0.9309 | 0.8216 | 0.7217 | 0.8017 | -2023-07-26 21:02:25,811 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 21:02:34,753 Epoch: [84][0/631] Time 5.955s (5.955s) Speed 5.4 samples/s Data 4.265s (4.265s) Loss 0.000610 (0.000610) Accuracy 0.853 (0.853) loss_pose: 0.000259 loss_cons: 0.000351 -2023-07-26 21:05:09,568 Epoch: [84][100/631] Time 1.516s (1.592s) Speed 21.1 samples/s Data 0.000s (0.043s) Loss 0.000698 (0.000653) Accuracy 0.846 (0.867) loss_pose: 0.000259 loss_cons: 0.000439 -2023-07-26 21:07:44,726 Epoch: [84][200/631] Time 1.517s (1.572s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000567 (0.000651) Accuracy 0.893 (0.867) loss_pose: 0.000201 loss_cons: 0.000366 -2023-07-26 21:10:19,319 Epoch: [84][300/631] Time 1.516s (1.563s) Speed 21.1 samples/s Data 0.001s (0.015s) Loss 0.000587 (0.000653) Accuracy 0.865 (0.866) loss_pose: 0.000205 loss_cons: 0.000382 -2023-07-26 21:12:53,760 Epoch: [84][400/631] Time 1.527s (1.559s) Speed 20.9 samples/s Data 0.001s (0.011s) Loss 0.000604 (0.000653) Accuracy 0.867 (0.867) loss_pose: 0.000209 loss_cons: 0.000395 -2023-07-26 21:15:28,041 Epoch: [84][500/631] Time 1.526s (1.555s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000589 (0.000651) Accuracy 0.908 (0.868) loss_pose: 0.000220 loss_cons: 0.000369 -2023-07-26 21:18:01,469 Epoch: [84][600/631] Time 1.513s (1.552s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000646 (0.000652) Accuracy 0.876 (0.869) loss_pose: 0.000220 loss_cons: 0.000426 -2023-07-26 21:18:46,858 Epoch: [84][630/631] Time 1.509s (1.550s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000578 (0.000651) Accuracy 0.859 (0.869) loss_pose: 0.000231 loss_cons: 0.000347 -2023-07-26 21:18:54,635 Test: [0/199] Time 5.605 (5.605) Loss 0.0002 (0.0002) Accuracy 0.901 (0.901) -2023-07-26 21:19:14,687 Test: [100/199] Time 0.194 (0.255) Loss 0.0002 (0.0002) Accuracy 0.895 (0.863) -2023-07-26 21:19:33,504 Test: [198/199] Time 0.251 (0.224) Loss 0.0002 (0.0002) Accuracy 0.951 (0.862) -2023-07-26 21:19:35,104 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 21:19:45,038 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:19:45,074 The Predictions of Net 1 -2023-07-26 21:19:45,075 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:19:45,075 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:19:45,075 | 256x192_pose_dual_101_d256d256d256 | 0.7143 | 0.9153 | 0.7931 | 0.6922 | 0.7527 | 0.7478 | 0.9296 | 0.8158 | 0.7168 | 0.7946 | -2023-07-26 21:19:45,760 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 21:19:52,604 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:19:52,638 The Predictions of Net 2 -2023-07-26 21:19:52,639 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:19:52,639 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:19:52,639 | 256x192_pose_dual_101_d256d256d256 | 0.7186 | 0.9255 | 0.8025 | 0.6954 | 0.7534 | 0.7489 | 0.9314 | 0.8202 | 0.7190 | 0.7939 | -2023-07-26 21:19:53,325 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 21:19:58,068 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:19:58,101 Ensemble Predictions -2023-07-26 21:19:58,102 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:19:58,103 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:19:58,103 | 256x192_pose_dual_101_d256d256d256 | 0.7267 | 0.9254 | 0.8048 | 0.7034 | 0.7656 | 0.7573 | 0.9310 | 0.8278 | 0.7263 | 0.8043 | -2023-07-26 21:19:58,103 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 21:20:08,336 Epoch: [85][0/631] Time 6.122s (6.122s) Speed 5.2 samples/s Data 4.455s (4.455s) Loss 0.000586 (0.000586) Accuracy 0.882 (0.882) loss_pose: 0.000217 loss_cons: 0.000369 -2023-07-26 21:22:42,641 Epoch: [85][100/631] Time 1.512s (1.588s) Speed 21.2 samples/s Data 0.000s (0.044s) Loss 0.000595 (0.000651) Accuracy 0.843 (0.870) loss_pose: 0.000240 loss_cons: 0.000355 -2023-07-26 21:25:15,977 Epoch: [85][200/631] Time 1.522s (1.561s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000666 (0.000651) Accuracy 0.868 (0.868) loss_pose: 0.000213 loss_cons: 0.000453 -2023-07-26 21:27:48,522 Epoch: [85][300/631] Time 1.530s (1.549s) Speed 20.9 samples/s Data 0.000s (0.015s) Loss 0.000661 (0.000649) Accuracy 0.877 (0.869) loss_pose: 0.000236 loss_cons: 0.000425 -2023-07-26 21:30:23,372 Epoch: [85][400/631] Time 1.519s (1.549s) Speed 21.1 samples/s Data 0.001s (0.011s) Loss 0.000757 (0.000650) Accuracy 0.828 (0.869) loss_pose: 0.000233 loss_cons: 0.000524 -2023-07-26 21:32:58,421 Epoch: [85][500/631] Time 1.520s (1.549s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000720 (0.000652) Accuracy 0.827 (0.868) loss_pose: 0.000314 loss_cons: 0.000406 -2023-07-26 21:35:32,537 Epoch: [85][600/631] Time 1.506s (1.548s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000640 (0.000657) Accuracy 0.819 (0.868) loss_pose: 0.000285 loss_cons: 0.000355 -2023-07-26 21:36:18,335 Epoch: [85][630/631] Time 1.609s (1.547s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000626 (0.000657) Accuracy 0.912 (0.867) loss_pose: 0.000225 loss_cons: 0.000401 -2023-07-26 21:36:24,874 Test: [0/199] Time 4.152 (4.152) Loss 0.0002 (0.0002) Accuracy 0.892 (0.892) -2023-07-26 21:36:45,966 Test: [100/199] Time 0.201 (0.254) Loss 0.0002 (0.0002) Accuracy 0.878 (0.864) -2023-07-26 21:37:04,735 Test: [198/199] Time 0.168 (0.223) Loss 0.0002 (0.0002) Accuracy 0.941 (0.862) -2023-07-26 21:37:06,732 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 21:37:16,059 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:37:16,108 The Predictions of Net 1 -2023-07-26 21:37:16,110 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:37:16,111 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:37:16,111 | 256x192_pose_dual_101_d256d256d256 | 0.7187 | 0.9162 | 0.8031 | 0.6979 | 0.7531 | 0.7495 | 0.9296 | 0.8218 | 0.7196 | 0.7949 | -2023-07-26 21:37:16,819 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 21:37:21,780 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:37:21,819 The Predictions of Net 2 -2023-07-26 21:37:21,819 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:37:21,820 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:37:21,821 | 256x192_pose_dual_101_d256d256d256 | 0.7174 | 0.9249 | 0.8030 | 0.6936 | 0.7537 | 0.7476 | 0.9301 | 0.8202 | 0.7172 | 0.7935 | -2023-07-26 21:37:22,523 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 21:37:27,487 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:37:27,521 Ensemble Predictions -2023-07-26 21:37:27,522 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:37:27,523 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:37:27,523 | 256x192_pose_dual_101_d256d256d256 | 0.7281 | 0.9258 | 0.8052 | 0.7053 | 0.7638 | 0.7585 | 0.9342 | 0.8295 | 0.7290 | 0.8030 | -2023-07-26 21:37:27,524 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 21:37:39,591 Epoch: [86][0/631] Time 5.920s (5.920s) Speed 5.4 samples/s Data 4.244s (4.244s) Loss 0.000695 (0.000695) Accuracy 0.841 (0.841) loss_pose: 0.000263 loss_cons: 0.000431 -2023-07-26 21:40:15,490 Epoch: [86][100/631] Time 1.610s (1.602s) Speed 19.9 samples/s Data 0.000s (0.042s) Loss 0.000585 (0.000645) Accuracy 0.896 (0.870) loss_pose: 0.000182 loss_cons: 0.000403 -2023-07-26 21:42:52,774 Epoch: [86][200/631] Time 1.520s (1.588s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000611 (0.000653) Accuracy 0.873 (0.868) loss_pose: 0.000243 loss_cons: 0.000368 -2023-07-26 21:45:39,283 Epoch: [86][300/631] Time 1.525s (1.613s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000728 (0.000655) Accuracy 0.846 (0.867) loss_pose: 0.000254 loss_cons: 0.000474 -2023-07-26 21:48:16,911 Epoch: [86][400/631] Time 1.551s (1.604s) Speed 20.6 samples/s Data 0.000s (0.011s) Loss 0.000687 (0.000657) Accuracy 0.881 (0.867) loss_pose: 0.000235 loss_cons: 0.000453 -2023-07-26 21:50:51,416 Epoch: [86][500/631] Time 1.519s (1.592s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000675 (0.000656) Accuracy 0.905 (0.866) loss_pose: 0.000202 loss_cons: 0.000473 -2023-07-26 21:53:26,656 Epoch: [86][600/631] Time 1.510s (1.586s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000586 (0.000657) Accuracy 0.862 (0.867) loss_pose: 0.000217 loss_cons: 0.000370 -2023-07-26 21:54:12,013 Epoch: [86][630/631] Time 1.507s (1.582s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000604 (0.000658) Accuracy 0.862 (0.867) loss_pose: 0.000231 loss_cons: 0.000373 -2023-07-26 21:54:19,788 Test: [0/199] Time 5.388 (5.388) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-26 21:54:40,073 Test: [100/199] Time 0.204 (0.256) Loss 0.0002 (0.0002) Accuracy 0.875 (0.864) -2023-07-26 21:54:58,768 Test: [198/199] Time 0.164 (0.223) Loss 0.0002 (0.0002) Accuracy 0.906 (0.861) -2023-07-26 21:55:00,212 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 21:55:10,210 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:55:10,267 The Predictions of Net 1 -2023-07-26 21:55:10,268 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:55:10,268 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:55:10,269 | 256x192_pose_dual_101_d256d256d256 | 0.7186 | 0.9252 | 0.7935 | 0.6960 | 0.7539 | 0.7491 | 0.9306 | 0.8190 | 0.7192 | 0.7945 | -2023-07-26 21:55:10,964 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 21:55:15,763 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:55:15,800 The Predictions of Net 2 -2023-07-26 21:55:15,800 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:55:15,801 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:55:15,802 | 256x192_pose_dual_101_d256d256d256 | 0.7185 | 0.9254 | 0.8034 | 0.6961 | 0.7557 | 0.7499 | 0.9315 | 0.8208 | 0.7191 | 0.7962 | -2023-07-26 21:55:16,496 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 21:55:21,248 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 21:55:21,287 Ensemble Predictions -2023-07-26 21:55:21,287 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 21:55:21,288 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 21:55:21,288 | 256x192_pose_dual_101_d256d256d256 | 0.7294 | 0.9258 | 0.8146 | 0.7076 | 0.7637 | 0.7596 | 0.9347 | 0.8325 | 0.7307 | 0.8036 | -2023-07-26 21:55:21,289 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 21:55:30,613 Epoch: [87][0/631] Time 5.334s (5.334s) Speed 6.0 samples/s Data 3.580s (3.580s) Loss 0.000615 (0.000615) Accuracy 0.873 (0.873) loss_pose: 0.000223 loss_cons: 0.000392 -2023-07-26 21:58:05,926 Epoch: [87][100/631] Time 1.525s (1.591s) Speed 21.0 samples/s Data 0.000s (0.036s) Loss 0.000644 (0.000649) Accuracy 0.903 (0.872) loss_pose: 0.000198 loss_cons: 0.000446 -2023-07-26 22:00:41,640 Epoch: [87][200/631] Time 1.532s (1.574s) Speed 20.9 samples/s Data 0.000s (0.018s) Loss 0.000666 (0.000651) Accuracy 0.848 (0.871) loss_pose: 0.000238 loss_cons: 0.000428 -2023-07-26 22:03:17,366 Epoch: [87][300/631] Time 1.541s (1.568s) Speed 20.8 samples/s Data 0.000s (0.012s) Loss 0.000657 (0.000649) Accuracy 0.904 (0.871) loss_pose: 0.000218 loss_cons: 0.000439 -2023-07-26 22:05:52,528 Epoch: [87][400/631] Time 1.615s (1.564s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000642 (0.000651) Accuracy 0.878 (0.871) loss_pose: 0.000217 loss_cons: 0.000425 -2023-07-26 22:08:29,217 Epoch: [87][500/631] Time 1.613s (1.565s) Speed 19.8 samples/s Data 0.001s (0.008s) Loss 0.000603 (0.000650) Accuracy 0.904 (0.871) loss_pose: 0.000213 loss_cons: 0.000390 -2023-07-26 22:11:03,728 Epoch: [87][600/631] Time 1.514s (1.561s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000561 (0.000651) Accuracy 0.876 (0.871) loss_pose: 0.000208 loss_cons: 0.000353 -2023-07-26 22:11:49,182 Epoch: [87][630/631] Time 1.515s (1.559s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000641 (0.000651) Accuracy 0.879 (0.871) loss_pose: 0.000237 loss_cons: 0.000404 -2023-07-26 22:11:55,357 Test: [0/199] Time 3.614 (3.614) Loss 0.0002 (0.0002) Accuracy 0.883 (0.883) -2023-07-26 22:12:16,849 Test: [100/199] Time 0.203 (0.251) Loss 0.0002 (0.0002) Accuracy 0.903 (0.865) -2023-07-26 22:12:35,546 Test: [198/199] Time 0.212 (0.222) Loss 0.0002 (0.0002) Accuracy 0.895 (0.862) -2023-07-26 22:12:37,160 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 22:12:48,223 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:12:48,262 The Predictions of Net 1 -2023-07-26 22:12:48,263 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:12:48,263 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:12:48,263 | 256x192_pose_dual_101_d256d256d256 | 0.7191 | 0.9253 | 0.7938 | 0.6945 | 0.7579 | 0.7503 | 0.9315 | 0.8199 | 0.7190 | 0.7978 | -2023-07-26 22:12:48,946 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 22:12:53,754 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:12:53,787 The Predictions of Net 2 -2023-07-26 22:12:53,788 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:12:53,788 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:12:53,789 | 256x192_pose_dual_101_d256d256d256 | 0.7205 | 0.9251 | 0.8031 | 0.6976 | 0.7576 | 0.7517 | 0.9301 | 0.8218 | 0.7211 | 0.7978 | -2023-07-26 22:12:54,485 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 22:12:59,302 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:12:59,335 Ensemble Predictions -2023-07-26 22:12:59,335 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:12:59,336 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:12:59,336 | 256x192_pose_dual_101_d256d256d256 | 0.7295 | 0.9257 | 0.8139 | 0.7079 | 0.7683 | 0.7613 | 0.9345 | 0.8336 | 0.7315 | 0.8064 | -2023-07-26 22:12:59,337 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 22:13:09,438 Epoch: [88][0/631] Time 5.892s (5.892s) Speed 5.4 samples/s Data 4.186s (4.186s) Loss 0.000638 (0.000638) Accuracy 0.838 (0.838) loss_pose: 0.000269 loss_cons: 0.000369 -2023-07-26 22:15:45,446 Epoch: [88][100/631] Time 1.522s (1.603s) Speed 21.0 samples/s Data 0.000s (0.042s) Loss 0.000655 (0.000636) Accuracy 0.867 (0.869) loss_pose: 0.000217 loss_cons: 0.000438 -2023-07-26 22:18:20,969 Epoch: [88][200/631] Time 1.570s (1.579s) Speed 20.4 samples/s Data 0.000s (0.021s) Loss 0.000691 (0.000639) Accuracy 0.832 (0.866) loss_pose: 0.000242 loss_cons: 0.000449 -2023-07-26 22:20:57,031 Epoch: [88][300/631] Time 1.541s (1.573s) Speed 20.8 samples/s Data 0.000s (0.014s) Loss 0.000596 (0.000642) Accuracy 0.879 (0.866) loss_pose: 0.000235 loss_cons: 0.000361 -2023-07-26 22:23:32,262 Epoch: [88][400/631] Time 1.527s (1.568s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000759 (0.000645) Accuracy 0.854 (0.867) loss_pose: 0.000222 loss_cons: 0.000537 -2023-07-26 22:26:07,907 Epoch: [88][500/631] Time 1.525s (1.566s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000602 (0.000646) Accuracy 0.886 (0.867) loss_pose: 0.000219 loss_cons: 0.000383 -2023-07-26 22:28:41,255 Epoch: [88][600/631] Time 1.501s (1.560s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000801 (0.000648) Accuracy 0.853 (0.866) loss_pose: 0.000239 loss_cons: 0.000562 -2023-07-26 22:29:26,631 Epoch: [88][630/631] Time 1.508s (1.558s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000599 (0.000647) Accuracy 0.871 (0.867) loss_pose: 0.000229 loss_cons: 0.000370 -2023-07-26 22:29:33,715 Test: [0/199] Time 4.645 (4.645) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-26 22:29:53,875 Test: [100/199] Time 0.198 (0.248) Loss 0.0002 (0.0002) Accuracy 0.888 (0.865) -2023-07-26 22:30:12,524 Test: [198/199] Time 0.133 (0.220) Loss 0.0002 (0.0002) Accuracy 0.964 (0.863) -2023-07-26 22:30:14,077 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 22:30:22,448 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:30:22,652 The Predictions of Net 1 -2023-07-26 22:30:22,655 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:30:22,657 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:30:22,658 | 256x192_pose_dual_101_d256d256d256 | 0.7202 | 0.9251 | 0.8036 | 0.6937 | 0.7585 | 0.7507 | 0.9320 | 0.8229 | 0.7188 | 0.7988 | -2023-07-26 22:30:23,528 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 22:30:30,401 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:30:30,437 The Predictions of Net 2 -2023-07-26 22:30:30,438 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:30:30,438 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:30:30,438 | 256x192_pose_dual_101_d256d256d256 | 0.7174 | 0.9251 | 0.8034 | 0.6922 | 0.7552 | 0.7478 | 0.9303 | 0.8208 | 0.7161 | 0.7952 | -2023-07-26 22:30:31,130 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 22:30:35,837 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:30:35,871 Ensemble Predictions -2023-07-26 22:30:35,872 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:30:35,872 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:30:35,872 | 256x192_pose_dual_101_d256d256d256 | 0.7296 | 0.9254 | 0.8054 | 0.7060 | 0.7676 | 0.7597 | 0.9353 | 0.8281 | 0.7288 | 0.8061 | -2023-07-26 22:30:35,873 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 22:30:44,163 Epoch: [89][0/631] Time 5.301s (5.301s) Speed 6.0 samples/s Data 3.607s (3.607s) Loss 0.000657 (0.000657) Accuracy 0.854 (0.854) loss_pose: 0.000264 loss_cons: 0.000394 -2023-07-26 22:33:19,544 Epoch: [89][100/631] Time 1.521s (1.591s) Speed 21.0 samples/s Data 0.000s (0.036s) Loss 0.000671 (0.000643) Accuracy 0.805 (0.862) loss_pose: 0.000312 loss_cons: 0.000359 -2023-07-26 22:35:55,213 Epoch: [89][200/631] Time 1.516s (1.574s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000571 (0.000646) Accuracy 0.878 (0.866) loss_pose: 0.000229 loss_cons: 0.000343 -2023-07-26 22:38:30,781 Epoch: [89][300/631] Time 1.560s (1.568s) Speed 20.5 samples/s Data 0.000s (0.012s) Loss 0.000793 (0.000645) Accuracy 0.853 (0.869) loss_pose: 0.000226 loss_cons: 0.000567 -2023-07-26 22:41:04,985 Epoch: [89][400/631] Time 1.589s (1.561s) Speed 20.1 samples/s Data 0.000s (0.009s) Loss 0.000647 (0.000644) Accuracy 0.860 (0.869) loss_pose: 0.000241 loss_cons: 0.000406 -2023-07-26 22:43:40,035 Epoch: [89][500/631] Time 1.598s (1.559s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000777 (0.000645) Accuracy 0.852 (0.870) loss_pose: 0.000262 loss_cons: 0.000515 -2023-07-26 22:46:16,662 Epoch: [89][600/631] Time 1.609s (1.560s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000740 (0.000646) Accuracy 0.849 (0.870) loss_pose: 0.000255 loss_cons: 0.000485 -2023-07-26 22:47:02,417 Epoch: [89][630/631] Time 1.588s (1.559s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000682 (0.000645) Accuracy 0.825 (0.870) loss_pose: 0.000255 loss_cons: 0.000427 -2023-07-26 22:47:10,185 Test: [0/199] Time 5.411 (5.411) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-26 22:47:30,191 Test: [100/199] Time 0.205 (0.253) Loss 0.0002 (0.0002) Accuracy 0.896 (0.864) -2023-07-26 22:47:48,745 Test: [198/199] Time 0.133 (0.222) Loss 0.0002 (0.0002) Accuracy 0.921 (0.862) -2023-07-26 22:47:50,239 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 22:47:59,583 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:47:59,620 The Predictions of Net 1 -2023-07-26 22:47:59,621 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:47:59,622 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:47:59,622 | 256x192_pose_dual_101_d256d256d256 | 0.7176 | 0.9259 | 0.7937 | 0.6952 | 0.7568 | 0.7495 | 0.9336 | 0.8199 | 0.7176 | 0.7975 | -2023-07-26 22:48:00,348 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 22:48:05,148 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:48:05,182 The Predictions of Net 2 -2023-07-26 22:48:05,183 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:48:05,184 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:48:05,184 | 256x192_pose_dual_101_d256d256d256 | 0.7189 | 0.9252 | 0.8037 | 0.6989 | 0.7548 | 0.7510 | 0.9320 | 0.8254 | 0.7220 | 0.7952 | -2023-07-26 22:48:05,869 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 22:48:12,759 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 22:48:12,793 Ensemble Predictions -2023-07-26 22:48:12,794 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 22:48:12,794 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 22:48:12,795 | 256x192_pose_dual_101_d256d256d256 | 0.7299 | 0.9261 | 0.8140 | 0.7061 | 0.7653 | 0.7599 | 0.9353 | 0.8301 | 0.7296 | 0.8055 | -2023-07-26 22:48:12,796 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 22:48:21,243 Epoch: [90][0/631] Time 5.323s (5.323s) Speed 6.0 samples/s Data 3.582s (3.582s) Loss 0.000589 (0.000589) Accuracy 0.908 (0.908) loss_pose: 0.000208 loss_cons: 0.000380 -2023-07-26 22:50:57,919 Epoch: [90][100/631] Time 1.614s (1.604s) Speed 19.8 samples/s Data 0.001s (0.036s) Loss 0.000708 (0.000640) Accuracy 0.850 (0.867) loss_pose: 0.000250 loss_cons: 0.000458 -2023-07-26 22:53:34,117 Epoch: [90][200/631] Time 1.604s (1.583s) Speed 20.0 samples/s Data 0.000s (0.018s) Loss 0.000585 (0.000644) Accuracy 0.883 (0.868) loss_pose: 0.000184 loss_cons: 0.000400 -2023-07-26 22:56:10,137 Epoch: [90][300/631] Time 1.592s (1.575s) Speed 20.1 samples/s Data 0.000s (0.012s) Loss 0.000695 (0.000644) Accuracy 0.839 (0.868) loss_pose: 0.000222 loss_cons: 0.000473 -2023-07-26 22:58:45,548 Epoch: [90][400/631] Time 1.586s (1.570s) Speed 20.2 samples/s Data 0.000s (0.009s) Loss 0.000650 (0.000646) Accuracy 0.883 (0.867) loss_pose: 0.000226 loss_cons: 0.000424 -2023-07-26 23:01:21,062 Epoch: [90][500/631] Time 1.548s (1.567s) Speed 20.7 samples/s Data 0.000s (0.008s) Loss 0.000609 (0.000646) Accuracy 0.862 (0.868) loss_pose: 0.000237 loss_cons: 0.000372 -2023-07-26 23:03:58,185 Epoch: [90][600/631] Time 1.611s (1.568s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000640 (0.000646) Accuracy 0.822 (0.868) loss_pose: 0.000243 loss_cons: 0.000397 -2023-07-26 23:04:46,236 Epoch: [90][630/631] Time 1.605s (1.569s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000562 (0.000646) Accuracy 0.903 (0.868) loss_pose: 0.000209 loss_cons: 0.000353 -2023-07-26 23:04:53,253 Test: [0/199] Time 4.157 (4.157) Loss 0.0002 (0.0002) Accuracy 0.902 (0.902) -2023-07-26 23:05:14,022 Test: [100/199] Time 0.198 (0.249) Loss 0.0002 (0.0002) Accuracy 0.896 (0.864) -2023-07-26 23:05:32,696 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.928 (0.862) -2023-07-26 23:05:34,073 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 23:05:43,954 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:05:44,011 The Predictions of Net 1 -2023-07-26 23:05:44,013 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:05:44,014 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:05:44,014 | 256x192_pose_dual_101_d256d256d256 | 0.7155 | 0.9251 | 0.7936 | 0.6938 | 0.7535 | 0.7481 | 0.9317 | 0.8193 | 0.7173 | 0.7951 | -2023-07-26 23:05:44,741 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 23:05:49,508 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:05:49,542 The Predictions of Net 2 -2023-07-26 23:05:49,542 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:05:49,543 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:05:49,543 | 256x192_pose_dual_101_d256d256d256 | 0.7181 | 0.9253 | 0.8033 | 0.6947 | 0.7540 | 0.7500 | 0.9301 | 0.8227 | 0.7188 | 0.7969 | -2023-07-26 23:05:50,240 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 23:05:55,014 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:05:55,047 Ensemble Predictions -2023-07-26 23:05:55,047 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:05:55,048 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:05:55,048 | 256x192_pose_dual_101_d256d256d256 | 0.7264 | 0.9256 | 0.8053 | 0.7053 | 0.7635 | 0.7586 | 0.9345 | 0.8298 | 0.7288 | 0.8041 | -2023-07-26 23:05:55,049 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 23:06:04,011 Epoch: [91][0/631] Time 6.036s (6.036s) Speed 5.3 samples/s Data 4.323s (4.323s) Loss 0.000575 (0.000575) Accuracy 0.870 (0.870) loss_pose: 0.000209 loss_cons: 0.000366 -2023-07-26 23:08:38,187 Epoch: [91][100/631] Time 1.572s (1.586s) Speed 20.4 samples/s Data 0.000s (0.043s) Loss 0.000603 (0.000639) Accuracy 0.855 (0.870) loss_pose: 0.000238 loss_cons: 0.000365 -2023-07-26 23:11:13,510 Epoch: [91][200/631] Time 1.609s (1.570s) Speed 19.9 samples/s Data 0.000s (0.022s) Loss 0.000565 (0.000641) Accuracy 0.913 (0.870) loss_pose: 0.000211 loss_cons: 0.000354 -2023-07-26 23:13:49,400 Epoch: [91][300/631] Time 1.597s (1.566s) Speed 20.0 samples/s Data 0.001s (0.015s) Loss 0.000753 (0.000640) Accuracy 0.883 (0.871) loss_pose: 0.000220 loss_cons: 0.000534 -2023-07-26 23:16:23,592 Epoch: [91][400/631] Time 1.526s (1.560s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000681 (0.000642) Accuracy 0.867 (0.870) loss_pose: 0.000216 loss_cons: 0.000465 -2023-07-26 23:18:58,686 Epoch: [91][500/631] Time 1.524s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000677 (0.000643) Accuracy 0.870 (0.870) loss_pose: 0.000242 loss_cons: 0.000435 -2023-07-26 23:21:36,983 Epoch: [91][600/631] Time 1.528s (1.562s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000554 (0.000644) Accuracy 0.883 (0.869) loss_pose: 0.000220 loss_cons: 0.000334 -2023-07-26 23:22:24,115 Epoch: [91][630/631] Time 1.513s (1.563s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000632 (0.000644) Accuracy 0.873 (0.869) loss_pose: 0.000222 loss_cons: 0.000410 -2023-07-26 23:22:31,528 Test: [0/199] Time 5.115 (5.115) Loss 0.0002 (0.0002) Accuracy 0.900 (0.900) -2023-07-26 23:22:51,504 Test: [100/199] Time 0.204 (0.250) Loss 0.0002 (0.0002) Accuracy 0.897 (0.864) -2023-07-26 23:23:10,159 Test: [198/199] Time 0.136 (0.221) Loss 0.0002 (0.0002) Accuracy 0.911 (0.863) -2023-07-26 23:23:11,540 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 23:23:20,999 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:23:21,043 The Predictions of Net 1 -2023-07-26 23:23:21,043 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:23:21,044 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:23:21,045 | 256x192_pose_dual_101_d256d256d256 | 0.7190 | 0.9252 | 0.8024 | 0.6957 | 0.7554 | 0.7497 | 0.9314 | 0.8204 | 0.7182 | 0.7972 | -2023-07-26 23:23:21,742 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 23:23:26,498 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:23:26,532 The Predictions of Net 2 -2023-07-26 23:23:26,533 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:23:26,534 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:23:26,534 | 256x192_pose_dual_101_d256d256d256 | 0.7209 | 0.9255 | 0.8042 | 0.6982 | 0.7588 | 0.7521 | 0.9331 | 0.8235 | 0.7222 | 0.7978 | -2023-07-26 23:23:27,221 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 23:23:31,961 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:23:31,995 Ensemble Predictions -2023-07-26 23:23:31,996 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:23:31,996 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:23:31,996 | 256x192_pose_dual_101_d256d256d256 | 0.7298 | 0.9260 | 0.8144 | 0.7072 | 0.7684 | 0.7609 | 0.9356 | 0.8327 | 0.7310 | 0.8063 | -2023-07-26 23:23:31,997 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 23:23:41,546 Epoch: [92][0/631] Time 5.473s (5.473s) Speed 5.8 samples/s Data 3.770s (3.770s) Loss 0.000561 (0.000561) Accuracy 0.869 (0.869) loss_pose: 0.000212 loss_cons: 0.000349 -2023-07-26 23:26:17,371 Epoch: [92][100/631] Time 1.615s (1.597s) Speed 19.8 samples/s Data 0.000s (0.038s) Loss 0.000757 (0.000647) Accuracy 0.838 (0.868) loss_pose: 0.000278 loss_cons: 0.000479 -2023-07-26 23:28:50,639 Epoch: [92][200/631] Time 1.508s (1.565s) Speed 21.2 samples/s Data 0.000s (0.019s) Loss 0.000783 (0.000645) Accuracy 0.843 (0.869) loss_pose: 0.000279 loss_cons: 0.000504 -2023-07-26 23:31:24,891 Epoch: [92][300/631] Time 1.519s (1.558s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000694 (0.000646) Accuracy 0.830 (0.870) loss_pose: 0.000262 loss_cons: 0.000431 -2023-07-26 23:33:59,254 Epoch: [92][400/631] Time 1.622s (1.554s) Speed 19.7 samples/s Data 0.000s (0.010s) Loss 0.000655 (0.000645) Accuracy 0.840 (0.869) loss_pose: 0.000269 loss_cons: 0.000386 -2023-07-26 23:36:33,661 Epoch: [92][500/631] Time 1.557s (1.552s) Speed 20.6 samples/s Data 0.001s (0.008s) Loss 0.000656 (0.000645) Accuracy 0.878 (0.870) loss_pose: 0.000234 loss_cons: 0.000422 -2023-07-26 23:39:06,298 Epoch: [92][600/631] Time 1.516s (1.548s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000762 (0.000644) Accuracy 0.842 (0.869) loss_pose: 0.000257 loss_cons: 0.000505 -2023-07-26 23:39:51,692 Epoch: [92][630/631] Time 1.505s (1.546s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000618 (0.000644) Accuracy 0.899 (0.869) loss_pose: 0.000223 loss_cons: 0.000395 -2023-07-26 23:39:59,594 Test: [0/199] Time 5.979 (5.979) Loss 0.0002 (0.0002) Accuracy 0.903 (0.903) -2023-07-26 23:40:19,469 Test: [100/199] Time 0.202 (0.256) Loss 0.0002 (0.0002) Accuracy 0.887 (0.866) -2023-07-26 23:40:38,042 Test: [198/199] Time 0.142 (0.223) Loss 0.0002 (0.0002) Accuracy 0.902 (0.864) -2023-07-26 23:40:39,929 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 23:40:51,507 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:40:51,541 The Predictions of Net 1 -2023-07-26 23:40:51,542 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:40:51,543 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:40:51,543 | 256x192_pose_dual_101_d256d256d256 | 0.7191 | 0.9257 | 0.7934 | 0.6952 | 0.7575 | 0.7513 | 0.9326 | 0.8194 | 0.7197 | 0.7990 | -2023-07-26 23:40:52,234 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 23:40:57,056 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:40:57,089 The Predictions of Net 2 -2023-07-26 23:40:57,090 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:40:57,091 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:40:57,091 | 256x192_pose_dual_101_d256d256d256 | 0.7167 | 0.9161 | 0.7935 | 0.6932 | 0.7593 | 0.7503 | 0.9296 | 0.8197 | 0.7185 | 0.7978 | -2023-07-26 23:40:57,779 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 23:41:02,606 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:41:02,643 Ensemble Predictions -2023-07-26 23:41:02,644 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:41:02,644 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:41:02,644 | 256x192_pose_dual_101_d256d256d256 | 0.7306 | 0.9262 | 0.8144 | 0.7072 | 0.7713 | 0.7623 | 0.9364 | 0.8327 | 0.7315 | 0.8088 | -2023-07-26 23:41:02,645 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 23:41:11,063 Epoch: [93][0/631] Time 5.215s (5.215s) Speed 6.1 samples/s Data 3.514s (3.514s) Loss 0.000687 (0.000687) Accuracy 0.821 (0.821) loss_pose: 0.000254 loss_cons: 0.000433 -2023-07-26 23:43:45,977 Epoch: [93][100/631] Time 1.607s (1.586s) Speed 19.9 samples/s Data 0.000s (0.035s) Loss 0.000595 (0.000648) Accuracy 0.889 (0.871) loss_pose: 0.000231 loss_cons: 0.000364 -2023-07-26 23:46:20,418 Epoch: [93][200/631] Time 1.608s (1.565s) Speed 19.9 samples/s Data 0.000s (0.018s) Loss 0.000651 (0.000646) Accuracy 0.875 (0.871) loss_pose: 0.000222 loss_cons: 0.000429 -2023-07-26 23:48:54,536 Epoch: [93][300/631] Time 1.522s (1.557s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000614 (0.000646) Accuracy 0.905 (0.870) loss_pose: 0.000209 loss_cons: 0.000405 -2023-07-26 23:51:28,534 Epoch: [93][400/631] Time 1.522s (1.553s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000617 (0.000650) Accuracy 0.903 (0.869) loss_pose: 0.000175 loss_cons: 0.000442 -2023-07-26 23:54:01,234 Epoch: [93][500/631] Time 1.516s (1.548s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000530 (0.000650) Accuracy 0.865 (0.870) loss_pose: 0.000232 loss_cons: 0.000298 -2023-07-26 23:56:35,532 Epoch: [93][600/631] Time 1.507s (1.547s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000704 (0.000649) Accuracy 0.865 (0.871) loss_pose: 0.000238 loss_cons: 0.000467 -2023-07-26 23:57:20,886 Epoch: [93][630/631] Time 1.507s (1.545s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000591 (0.000648) Accuracy 0.883 (0.871) loss_pose: 0.000218 loss_cons: 0.000373 -2023-07-26 23:57:28,676 Test: [0/199] Time 5.875 (5.875) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-26 23:57:48,443 Test: [100/199] Time 0.194 (0.254) Loss 0.0002 (0.0002) Accuracy 0.890 (0.865) -2023-07-26 23:58:07,102 Test: [198/199] Time 0.152 (0.223) Loss 0.0002 (0.0002) Accuracy 0.923 (0.863) -2023-07-26 23:58:08,796 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-26 23:58:18,438 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:58:18,470 The Predictions of Net 1 -2023-07-26 23:58:18,471 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:58:18,472 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:58:18,472 | 256x192_pose_dual_101_d256d256d256 | 0.7199 | 0.9253 | 0.8030 | 0.6946 | 0.7558 | 0.7509 | 0.9318 | 0.8212 | 0.7196 | 0.7977 | -2023-07-26 23:58:19,169 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-26 23:58:23,967 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:58:24,001 The Predictions of Net 2 -2023-07-26 23:58:24,002 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:58:24,002 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:58:24,002 | 256x192_pose_dual_101_d256d256d256 | 0.7183 | 0.9250 | 0.7935 | 0.6953 | 0.7567 | 0.7511 | 0.9306 | 0.8197 | 0.7196 | 0.7983 | -2023-07-26 23:58:26,725 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-26 23:58:31,570 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-26 23:58:31,606 Ensemble Predictions -2023-07-26 23:58:31,607 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-26 23:58:31,607 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-26 23:58:31,607 | 256x192_pose_dual_101_d256d256d256 | 0.7297 | 0.9259 | 0.8145 | 0.7057 | 0.7683 | 0.7608 | 0.9345 | 0.8345 | 0.7291 | 0.8084 | -2023-07-26 23:58:31,608 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-26 23:58:40,671 Epoch: [94][0/631] Time 5.965s (5.965s) Speed 5.4 samples/s Data 4.295s (4.295s) Loss 0.000604 (0.000604) Accuracy 0.883 (0.883) loss_pose: 0.000197 loss_cons: 0.000407 -2023-07-27 00:01:14,979 Epoch: [94][100/631] Time 1.534s (1.587s) Speed 20.9 samples/s Data 0.000s (0.043s) Loss 0.000630 (0.000644) Accuracy 0.920 (0.869) loss_pose: 0.000191 loss_cons: 0.000439 -2023-07-27 00:03:51,106 Epoch: [94][200/631] Time 1.512s (1.574s) Speed 21.2 samples/s Data 0.000s (0.022s) Loss 0.000649 (0.000640) Accuracy 0.825 (0.869) loss_pose: 0.000262 loss_cons: 0.000388 -2023-07-27 00:06:24,832 Epoch: [94][300/631] Time 1.513s (1.562s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000698 (0.000641) Accuracy 0.902 (0.872) loss_pose: 0.000204 loss_cons: 0.000494 -2023-07-27 00:08:59,815 Epoch: [94][400/631] Time 1.607s (1.559s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000580 (0.000641) Accuracy 0.871 (0.873) loss_pose: 0.000201 loss_cons: 0.000379 -2023-07-27 00:11:32,940 Epoch: [94][500/631] Time 1.519s (1.553s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000578 (0.000641) Accuracy 0.897 (0.872) loss_pose: 0.000205 loss_cons: 0.000373 -2023-07-27 00:14:06,878 Epoch: [94][600/631] Time 1.599s (1.551s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000654 (0.000650) Accuracy 0.868 (0.873) loss_pose: 0.000225 loss_cons: 0.000429 -2023-07-27 00:14:54,555 Epoch: [94][630/631] Time 1.602s (1.553s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000583 (0.000650) Accuracy 0.887 (0.873) loss_pose: 0.000213 loss_cons: 0.000370 -2023-07-27 00:15:01,072 Test: [0/199] Time 4.105 (4.105) Loss 0.0002 (0.0002) Accuracy 0.900 (0.900) -2023-07-27 00:15:21,879 Test: [100/199] Time 0.201 (0.249) Loss 0.0002 (0.0002) Accuracy 0.891 (0.866) -2023-07-27 00:15:40,462 Test: [198/199] Time 0.133 (0.220) Loss 0.0002 (0.0002) Accuracy 0.925 (0.865) -2023-07-27 00:15:41,899 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 00:15:50,791 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:15:50,857 The Predictions of Net 1 -2023-07-27 00:15:50,860 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:15:50,861 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:15:50,861 | 256x192_pose_dual_101_d256d256d256 | 0.7217 | 0.9249 | 0.8032 | 0.6997 | 0.7547 | 0.7530 | 0.9326 | 0.8243 | 0.7241 | 0.7966 | -2023-07-27 00:15:51,560 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 00:15:56,315 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:15:56,348 The Predictions of Net 2 -2023-07-27 00:15:56,349 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:15:56,349 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:15:56,349 | 256x192_pose_dual_101_d256d256d256 | 0.7112 | 0.9153 | 0.7934 | 0.6888 | 0.7488 | 0.7442 | 0.9285 | 0.8152 | 0.7139 | 0.7899 | -2023-07-27 00:15:57,038 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 00:16:01,756 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:16:01,789 Ensemble Predictions -2023-07-27 00:16:01,790 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:16:01,790 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:16:01,790 | 256x192_pose_dual_101_d256d256d256 | 0.7296 | 0.9257 | 0.8138 | 0.7079 | 0.7659 | 0.7602 | 0.9347 | 0.8303 | 0.7307 | 0.8047 | -2023-07-27 00:16:01,791 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 00:16:12,907 Epoch: [95][0/631] Time 5.962s (5.962s) Speed 5.4 samples/s Data 4.266s (4.266s) Loss 0.000661 (0.000661) Accuracy 0.851 (0.851) loss_pose: 0.000265 loss_cons: 0.000397 -2023-07-27 00:18:49,839 Epoch: [95][100/631] Time 1.604s (1.613s) Speed 19.9 samples/s Data 0.001s (0.043s) Loss 0.000672 (0.000657) Accuracy 0.831 (0.869) loss_pose: 0.000257 loss_cons: 0.000416 -2023-07-27 00:21:27,655 Epoch: [95][200/631] Time 1.581s (1.596s) Speed 20.2 samples/s Data 0.000s (0.022s) Loss 0.000629 (0.000654) Accuracy 0.862 (0.870) loss_pose: 0.000216 loss_cons: 0.000413 -2023-07-27 00:24:14,832 Epoch: [95][300/631] Time 1.520s (1.621s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000637 (0.000651) Accuracy 0.883 (0.871) loss_pose: 0.000228 loss_cons: 0.000408 -2023-07-27 00:26:51,308 Epoch: [95][400/631] Time 1.526s (1.607s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000686 (0.000652) Accuracy 0.859 (0.870) loss_pose: 0.000231 loss_cons: 0.000455 -2023-07-27 00:29:26,446 Epoch: [95][500/631] Time 1.524s (1.596s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000634 (0.000651) Accuracy 0.828 (0.871) loss_pose: 0.000256 loss_cons: 0.000378 -2023-07-27 00:32:00,409 Epoch: [95][600/631] Time 1.515s (1.586s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000699 (0.000651) Accuracy 0.870 (0.871) loss_pose: 0.000261 loss_cons: 0.000437 -2023-07-27 00:32:45,782 Epoch: [95][630/631] Time 1.505s (1.583s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000611 (0.000651) Accuracy 0.836 (0.871) loss_pose: 0.000256 loss_cons: 0.000356 -2023-07-27 00:32:52,698 Test: [0/199] Time 4.655 (4.655) Loss 0.0002 (0.0002) Accuracy 0.900 (0.900) -2023-07-27 00:33:13,127 Test: [100/199] Time 0.198 (0.251) Loss 0.0002 (0.0002) Accuracy 0.896 (0.862) -2023-07-27 00:33:31,595 Test: [198/199] Time 0.134 (0.220) Loss 0.0002 (0.0002) Accuracy 0.931 (0.860) -2023-07-27 00:33:33,529 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 00:33:43,463 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:33:43,500 The Predictions of Net 1 -2023-07-27 00:33:43,501 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:33:43,501 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:33:43,501 | 256x192_pose_dual_101_d256d256d256 | 0.7150 | 0.9159 | 0.7932 | 0.6956 | 0.7528 | 0.7486 | 0.9290 | 0.8182 | 0.7181 | 0.7945 | -2023-07-27 00:33:44,193 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 00:33:48,895 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:33:48,928 The Predictions of Net 2 -2023-07-27 00:33:48,929 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:33:48,929 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:33:48,929 | 256x192_pose_dual_101_d256d256d256 | 0.7207 | 0.9256 | 0.8035 | 0.6985 | 0.7580 | 0.7524 | 0.9321 | 0.8245 | 0.7220 | 0.7982 | -2023-07-27 00:33:49,619 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 00:33:54,294 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:33:54,326 Ensemble Predictions -2023-07-27 00:33:54,327 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:33:54,327 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:33:54,327 | 256x192_pose_dual_101_d256d256d256 | 0.7304 | 0.9260 | 0.8144 | 0.7075 | 0.7649 | 0.7603 | 0.9340 | 0.8311 | 0.7315 | 0.8040 | -2023-07-27 00:33:54,328 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 00:34:02,856 Epoch: [96][0/631] Time 5.548s (5.548s) Speed 5.8 samples/s Data 3.897s (3.897s) Loss 0.000648 (0.000648) Accuracy 0.884 (0.884) loss_pose: 0.000207 loss_cons: 0.000441 -2023-07-27 00:36:36,936 Epoch: [96][100/631] Time 1.613s (1.580s) Speed 19.8 samples/s Data 0.000s (0.039s) Loss 0.000730 (0.000645) Accuracy 0.845 (0.871) loss_pose: 0.000235 loss_cons: 0.000495 -2023-07-27 00:39:11,977 Epoch: [96][200/631] Time 1.597s (1.566s) Speed 20.0 samples/s Data 0.000s (0.020s) Loss 0.000613 (0.000640) Accuracy 0.850 (0.870) loss_pose: 0.000254 loss_cons: 0.000359 -2023-07-27 00:41:46,464 Epoch: [96][300/631] Time 1.513s (1.559s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000625 (0.000642) Accuracy 0.852 (0.870) loss_pose: 0.000215 loss_cons: 0.000410 -2023-07-27 00:44:22,021 Epoch: [96][400/631] Time 1.610s (1.558s) Speed 19.9 samples/s Data 0.000s (0.010s) Loss 0.000644 (0.000641) Accuracy 0.888 (0.871) loss_pose: 0.000241 loss_cons: 0.000403 -2023-07-27 00:46:56,966 Epoch: [96][500/631] Time 1.623s (1.556s) Speed 19.7 samples/s Data 0.000s (0.008s) Loss 0.000578 (0.000639) Accuracy 0.887 (0.872) loss_pose: 0.000193 loss_cons: 0.000385 -2023-07-27 00:49:31,895 Epoch: [96][600/631] Time 1.554s (1.555s) Speed 20.6 samples/s Data 0.000s (0.007s) Loss 0.000645 (0.000638) Accuracy 0.864 (0.872) loss_pose: 0.000224 loss_cons: 0.000421 -2023-07-27 00:50:17,211 Epoch: [96][630/631] Time 1.507s (1.553s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000613 (0.000639) Accuracy 0.913 (0.872) loss_pose: 0.000200 loss_cons: 0.000413 -2023-07-27 00:50:24,533 Test: [0/199] Time 4.999 (4.999) Loss 0.0002 (0.0002) Accuracy 0.901 (0.901) -2023-07-27 00:50:45,168 Test: [100/199] Time 0.198 (0.256) Loss 0.0002 (0.0002) Accuracy 0.901 (0.863) -2023-07-27 00:51:03,893 Test: [198/199] Time 0.149 (0.224) Loss 0.0002 (0.0002) Accuracy 0.893 (0.862) -2023-07-27 00:51:05,628 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 00:51:16,383 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:51:16,427 The Predictions of Net 1 -2023-07-27 00:51:16,428 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:51:16,429 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:51:16,429 | 256x192_pose_dual_101_d256d256d256 | 0.7216 | 0.9252 | 0.8016 | 0.6993 | 0.7563 | 0.7533 | 0.9358 | 0.8207 | 0.7240 | 0.7979 | -2023-07-27 00:51:17,117 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 00:51:21,856 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:51:21,890 The Predictions of Net 2 -2023-07-27 00:51:21,891 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:51:21,892 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:51:21,892 | 256x192_pose_dual_101_d256d256d256 | 0.7174 | 0.9155 | 0.8033 | 0.6930 | 0.7562 | 0.7502 | 0.9279 | 0.8235 | 0.7182 | 0.7982 | -2023-07-27 00:51:22,578 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 00:51:27,369 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 00:51:27,406 Ensemble Predictions -2023-07-27 00:51:27,407 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 00:51:27,407 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 00:51:27,407 | 256x192_pose_dual_101_d256d256d256 | 0.7307 | 0.9255 | 0.8142 | 0.7072 | 0.7690 | 0.7616 | 0.9364 | 0.8333 | 0.7310 | 0.8078 | -2023-07-27 00:51:27,408 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 00:51:36,644 Epoch: [97][0/631] Time 6.216s (6.216s) Speed 5.1 samples/s Data 4.541s (4.541s) Loss 0.000610 (0.000610) Accuracy 0.888 (0.888) loss_pose: 0.000201 loss_cons: 0.000409 -2023-07-27 00:54:11,628 Epoch: [97][100/631] Time 1.521s (1.596s) Speed 21.0 samples/s Data 0.000s (0.045s) Loss 0.000621 (0.000639) Accuracy 0.926 (0.873) loss_pose: 0.000178 loss_cons: 0.000443 -2023-07-27 00:56:46,283 Epoch: [97][200/631] Time 1.599s (1.571s) Speed 20.0 samples/s Data 0.000s (0.023s) Loss 0.000570 (0.000640) Accuracy 0.862 (0.872) loss_pose: 0.000224 loss_cons: 0.000346 -2023-07-27 00:59:20,878 Epoch: [97][300/631] Time 1.517s (1.563s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000603 (0.000638) Accuracy 0.881 (0.872) loss_pose: 0.000204 loss_cons: 0.000398 -2023-07-27 01:01:55,538 Epoch: [97][400/631] Time 1.604s (1.559s) Speed 19.9 samples/s Data 0.000s (0.012s) Loss 0.000599 (0.000639) Accuracy 0.896 (0.872) loss_pose: 0.000212 loss_cons: 0.000387 -2023-07-27 01:04:30,468 Epoch: [97][500/631] Time 1.518s (1.557s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000663 (0.000639) Accuracy 0.840 (0.873) loss_pose: 0.000227 loss_cons: 0.000436 -2023-07-27 01:07:03,786 Epoch: [97][600/631] Time 1.522s (1.553s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000731 (0.000639) Accuracy 0.869 (0.873) loss_pose: 0.000247 loss_cons: 0.000483 -2023-07-27 01:07:49,221 Epoch: [97][630/631] Time 1.551s (1.551s) Speed 20.6 samples/s Data 0.000s (0.008s) Loss 0.000555 (0.000639) Accuracy 0.868 (0.873) loss_pose: 0.000214 loss_cons: 0.000341 -2023-07-27 01:07:56,027 Test: [0/199] Time 4.588 (4.588) Loss 0.0002 (0.0002) Accuracy 0.903 (0.903) -2023-07-27 01:08:16,180 Test: [100/199] Time 0.199 (0.248) Loss 0.0002 (0.0002) Accuracy 0.919 (0.866) -2023-07-27 01:08:34,808 Test: [198/199] Time 0.135 (0.220) Loss 0.0002 (0.0002) Accuracy 0.942 (0.863) -2023-07-27 01:08:36,343 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 01:08:46,185 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:08:46,233 The Predictions of Net 1 -2023-07-27 01:08:46,233 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:08:46,234 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:08:46,234 | 256x192_pose_dual_101_d256d256d256 | 0.7234 | 0.9255 | 0.8035 | 0.7007 | 0.7606 | 0.7555 | 0.9329 | 0.8241 | 0.7246 | 0.8022 | -2023-07-27 01:08:46,932 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 01:08:53,877 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:08:53,912 The Predictions of Net 2 -2023-07-27 01:08:53,912 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:08:53,913 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:08:53,913 | 256x192_pose_dual_101_d256d256d256 | 0.7213 | 0.9251 | 0.8043 | 0.6997 | 0.7576 | 0.7532 | 0.9312 | 0.8270 | 0.7227 | 0.7991 | -2023-07-27 01:08:54,610 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 01:08:59,433 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:08:59,481 Ensemble Predictions -2023-07-27 01:08:59,482 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:08:59,482 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:08:59,482 | 256x192_pose_dual_101_d256d256d256 | 0.7340 | 0.9257 | 0.8152 | 0.7117 | 0.7701 | 0.7642 | 0.9358 | 0.8367 | 0.7341 | 0.8098 | -2023-07-27 01:08:59,483 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 01:09:08,894 Epoch: [98][0/631] Time 5.222s (5.222s) Speed 6.1 samples/s Data 3.524s (3.524s) Loss 0.000659 (0.000659) Accuracy 0.890 (0.890) loss_pose: 0.000215 loss_cons: 0.000444 -2023-07-27 01:11:44,809 Epoch: [98][100/631] Time 1.520s (1.595s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000612 (0.000634) Accuracy 0.856 (0.870) loss_pose: 0.000211 loss_cons: 0.000401 -2023-07-27 01:14:19,525 Epoch: [98][200/631] Time 1.525s (1.571s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000696 (0.000638) Accuracy 0.863 (0.872) loss_pose: 0.000235 loss_cons: 0.000461 -2023-07-27 01:16:54,888 Epoch: [98][300/631] Time 1.526s (1.565s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000652 (0.000639) Accuracy 0.868 (0.873) loss_pose: 0.000220 loss_cons: 0.000432 -2023-07-27 01:19:29,112 Epoch: [98][400/631] Time 1.518s (1.560s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000649 (0.000637) Accuracy 0.831 (0.874) loss_pose: 0.000251 loss_cons: 0.000397 -2023-07-27 01:22:05,660 Epoch: [98][500/631] Time 1.524s (1.561s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000611 (0.000637) Accuracy 0.911 (0.874) loss_pose: 0.000210 loss_cons: 0.000401 -2023-07-27 01:24:41,448 Epoch: [98][600/631] Time 1.607s (1.560s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000778 (0.000638) Accuracy 0.879 (0.874) loss_pose: 0.000231 loss_cons: 0.000547 -2023-07-27 01:25:28,091 Epoch: [98][630/631] Time 1.519s (1.560s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000549 (0.000638) Accuracy 0.925 (0.874) loss_pose: 0.000195 loss_cons: 0.000354 -2023-07-27 01:25:35,891 Test: [0/199] Time 5.788 (5.788) Loss 0.0002 (0.0002) Accuracy 0.892 (0.892) -2023-07-27 01:25:55,703 Test: [100/199] Time 0.198 (0.253) Loss 0.0002 (0.0002) Accuracy 0.898 (0.865) -2023-07-27 01:26:14,232 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.926 (0.864) -2023-07-27 01:26:15,940 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 01:26:24,753 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:26:24,803 The Predictions of Net 1 -2023-07-27 01:26:24,805 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:26:24,806 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:26:24,806 | 256x192_pose_dual_101_d256d256d256 | 0.7209 | 0.9258 | 0.8020 | 0.6963 | 0.7568 | 0.7520 | 0.9325 | 0.8216 | 0.7200 | 0.7998 | -2023-07-27 01:26:25,507 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 01:26:30,289 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:26:30,323 The Predictions of Net 2 -2023-07-27 01:26:30,325 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:26:30,325 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:26:30,325 | 256x192_pose_dual_101_d256d256d256 | 0.7243 | 0.9249 | 0.8042 | 0.7017 | 0.7601 | 0.7555 | 0.9306 | 0.8265 | 0.7248 | 0.8017 | -2023-07-27 01:26:31,013 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 01:26:37,884 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:26:37,920 Ensemble Predictions -2023-07-27 01:26:37,921 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:26:37,922 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:26:37,922 | 256x192_pose_dual_101_d256d256d256 | 0.7325 | 0.9262 | 0.8149 | 0.7097 | 0.7720 | 0.7638 | 0.9361 | 0.8336 | 0.7327 | 0.8104 | -2023-07-27 01:26:37,923 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 01:26:47,069 Epoch: [99][0/631] Time 5.144s (5.144s) Speed 6.2 samples/s Data 3.430s (3.430s) Loss 0.000624 (0.000624) Accuracy 0.908 (0.908) loss_pose: 0.000190 loss_cons: 0.000434 -2023-07-27 01:29:20,925 Epoch: [99][100/631] Time 1.529s (1.574s) Speed 20.9 samples/s Data 0.000s (0.034s) Loss 0.000549 (0.000635) Accuracy 0.893 (0.873) loss_pose: 0.000190 loss_cons: 0.000358 -2023-07-27 01:31:55,439 Epoch: [99][200/631] Time 1.546s (1.560s) Speed 20.7 samples/s Data 0.000s (0.017s) Loss 0.000746 (0.000634) Accuracy 0.894 (0.874) loss_pose: 0.000234 loss_cons: 0.000512 -2023-07-27 01:34:29,321 Epoch: [99][300/631] Time 1.520s (1.553s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000856 (0.000637) Accuracy 0.850 (0.873) loss_pose: 0.000244 loss_cons: 0.000612 -2023-07-27 01:37:03,286 Epoch: [99][400/631] Time 1.565s (1.550s) Speed 20.5 samples/s Data 0.000s (0.009s) Loss 0.000611 (0.000637) Accuracy 0.891 (0.873) loss_pose: 0.000218 loss_cons: 0.000394 -2023-07-27 01:39:38,031 Epoch: [99][500/631] Time 1.516s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000684 (0.000637) Accuracy 0.886 (0.874) loss_pose: 0.000241 loss_cons: 0.000443 -2023-07-27 01:42:13,208 Epoch: [99][600/631] Time 1.603s (1.550s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000603 (0.000639) Accuracy 0.861 (0.874) loss_pose: 0.000227 loss_cons: 0.000375 -2023-07-27 01:43:01,366 Epoch: [99][630/631] Time 1.606s (1.552s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000556 (0.000639) Accuracy 0.881 (0.874) loss_pose: 0.000242 loss_cons: 0.000314 -2023-07-27 01:43:09,170 Test: [0/199] Time 5.843 (5.843) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-27 01:43:29,604 Test: [100/199] Time 0.199 (0.261) Loss 0.0002 (0.0002) Accuracy 0.905 (0.865) -2023-07-27 01:43:48,430 Test: [198/199] Time 0.241 (0.227) Loss 0.0002 (0.0002) Accuracy 0.928 (0.864) -2023-07-27 01:43:49,920 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 01:43:59,151 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:43:59,194 The Predictions of Net 1 -2023-07-27 01:43:59,195 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:43:59,196 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:43:59,196 | 256x192_pose_dual_101_d256d256d256 | 0.7207 | 0.9254 | 0.8019 | 0.6993 | 0.7562 | 0.7527 | 0.9314 | 0.8219 | 0.7221 | 0.7985 | -2023-07-27 01:43:59,894 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 01:44:04,705 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:44:04,743 The Predictions of Net 2 -2023-07-27 01:44:04,743 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:44:04,744 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:44:04,744 | 256x192_pose_dual_101_d256d256d256 | 0.7196 | 0.9157 | 0.8041 | 0.6977 | 0.7576 | 0.7515 | 0.9279 | 0.8230 | 0.7203 | 0.7984 | -2023-07-27 01:44:05,435 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 01:44:10,248 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 01:44:10,282 Ensemble Predictions -2023-07-27 01:44:10,283 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 01:44:10,283 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 01:44:10,284 | 256x192_pose_dual_101_d256d256d256 | 0.7306 | 0.9259 | 0.8050 | 0.7068 | 0.7688 | 0.7613 | 0.9334 | 0.8287 | 0.7305 | 0.8077 | -2023-07-27 01:44:10,285 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 01:44:18,562 Epoch: [100][0/631] Time 5.279s (5.279s) Speed 6.1 samples/s Data 3.575s (3.575s) Loss 0.000591 (0.000591) Accuracy 0.910 (0.910) loss_pose: 0.000225 loss_cons: 0.000366 -2023-07-27 01:46:54,455 Epoch: [100][100/631] Time 1.518s (1.596s) Speed 21.1 samples/s Data 0.000s (0.036s) Loss 0.000630 (0.000640) Accuracy 0.841 (0.870) loss_pose: 0.000247 loss_cons: 0.000383 -2023-07-27 01:49:27,766 Epoch: [100][200/631] Time 1.592s (1.565s) Speed 20.1 samples/s Data 0.000s (0.018s) Loss 0.000689 (0.000642) Accuracy 0.841 (0.873) loss_pose: 0.000207 loss_cons: 0.000482 -2023-07-27 01:52:01,222 Epoch: [100][300/631] Time 1.512s (1.555s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000747 (0.000643) Accuracy 0.849 (0.872) loss_pose: 0.000243 loss_cons: 0.000504 -2023-07-27 01:54:34,709 Epoch: [100][400/631] Time 1.519s (1.550s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000677 (0.000643) Accuracy 0.894 (0.873) loss_pose: 0.000187 loss_cons: 0.000490 -2023-07-27 01:57:08,219 Epoch: [100][500/631] Time 1.518s (1.547s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000619 (0.000644) Accuracy 0.882 (0.872) loss_pose: 0.000217 loss_cons: 0.000402 -2023-07-27 01:59:43,274 Epoch: [100][600/631] Time 1.519s (1.547s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000717 (0.000642) Accuracy 0.863 (0.872) loss_pose: 0.000225 loss_cons: 0.000492 -2023-07-27 02:00:28,641 Epoch: [100][630/631] Time 1.508s (1.546s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000573 (0.000642) Accuracy 0.913 (0.872) loss_pose: 0.000191 loss_cons: 0.000382 -2023-07-27 02:00:35,355 Test: [0/199] Time 4.472 (4.472) Loss 0.0002 (0.0002) Accuracy 0.903 (0.903) -2023-07-27 02:00:56,804 Test: [100/199] Time 0.195 (0.259) Loss 0.0002 (0.0002) Accuracy 0.904 (0.867) -2023-07-27 02:01:15,963 Test: [198/199] Time 0.260 (0.228) Loss 0.0002 (0.0002) Accuracy 0.901 (0.864) -2023-07-27 02:01:20,222 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 02:01:28,550 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:01:28,583 The Predictions of Net 1 -2023-07-27 02:01:28,584 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:01:28,584 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:01:28,585 | 256x192_pose_dual_101_d256d256d256 | 0.7228 | 0.9257 | 0.8039 | 0.7008 | 0.7588 | 0.7547 | 0.9310 | 0.8265 | 0.7231 | 0.8023 | -2023-07-27 02:01:29,267 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 02:01:34,061 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:01:34,096 The Predictions of Net 2 -2023-07-27 02:01:34,097 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:01:34,098 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:01:34,098 | 256x192_pose_dual_101_d256d256d256 | 0.7244 | 0.9252 | 0.8042 | 0.7014 | 0.7621 | 0.7558 | 0.9329 | 0.8275 | 0.7251 | 0.8026 | -2023-07-27 02:01:34,785 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 02:01:39,479 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:01:39,513 Ensemble Predictions -2023-07-27 02:01:39,513 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:01:39,514 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:01:39,514 | 256x192_pose_dual_101_d256d256d256 | 0.7347 | 0.9257 | 0.8152 | 0.7119 | 0.7736 | 0.7648 | 0.9353 | 0.8377 | 0.7334 | 0.8124 | -2023-07-27 02:01:39,515 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 02:01:48,830 Epoch: [101][0/631] Time 5.366s (5.366s) Speed 6.0 samples/s Data 3.659s (3.659s) Loss 0.000705 (0.000705) Accuracy 0.890 (0.890) loss_pose: 0.000238 loss_cons: 0.000467 -2023-07-27 02:04:23,354 Epoch: [101][100/631] Time 1.524s (1.583s) Speed 21.0 samples/s Data 0.000s (0.037s) Loss 0.000606 (0.000640) Accuracy 0.833 (0.870) loss_pose: 0.000218 loss_cons: 0.000388 -2023-07-27 02:06:56,673 Epoch: [101][200/631] Time 1.514s (1.558s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000643 (0.000638) Accuracy 0.903 (0.870) loss_pose: 0.000205 loss_cons: 0.000438 -2023-07-27 02:09:31,594 Epoch: [101][300/631] Time 1.610s (1.555s) Speed 19.9 samples/s Data 0.000s (0.013s) Loss 0.000860 (0.000638) Accuracy 0.816 (0.873) loss_pose: 0.000296 loss_cons: 0.000564 -2023-07-27 02:12:06,076 Epoch: [101][400/631] Time 1.619s (1.553s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000708 (0.000641) Accuracy 0.879 (0.872) loss_pose: 0.000226 loss_cons: 0.000482 -2023-07-27 02:14:40,889 Epoch: [101][500/631] Time 1.521s (1.552s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000556 (0.000639) Accuracy 0.867 (0.873) loss_pose: 0.000233 loss_cons: 0.000322 -2023-07-27 02:17:13,774 Epoch: [101][600/631] Time 1.514s (1.548s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000577 (0.000638) Accuracy 0.901 (0.874) loss_pose: 0.000194 loss_cons: 0.000383 -2023-07-27 02:18:00,097 Epoch: [101][630/631] Time 1.506s (1.548s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000662 (0.000638) Accuracy 0.851 (0.874) loss_pose: 0.000262 loss_cons: 0.000401 -2023-07-27 02:18:06,428 Test: [0/199] Time 4.278 (4.278) Loss 0.0002 (0.0002) Accuracy 0.896 (0.896) -2023-07-27 02:18:27,263 Test: [100/199] Time 0.199 (0.251) Loss 0.0002 (0.0002) Accuracy 0.893 (0.866) -2023-07-27 02:18:46,087 Test: [198/199] Time 0.144 (0.222) Loss 0.0002 (0.0002) Accuracy 0.902 (0.863) -2023-07-27 02:18:47,572 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 02:18:57,277 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:18:57,322 The Predictions of Net 1 -2023-07-27 02:18:57,323 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:18:57,324 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:18:57,324 | 256x192_pose_dual_101_d256d256d256 | 0.7218 | 0.9249 | 0.8046 | 0.7012 | 0.7595 | 0.7549 | 0.9310 | 0.8268 | 0.7238 | 0.8015 | -2023-07-27 02:19:00,122 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 02:19:04,942 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:19:04,979 The Predictions of Net 2 -2023-07-27 02:19:04,980 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:19:04,980 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:19:04,980 | 256x192_pose_dual_101_d256d256d256 | 0.7219 | 0.9251 | 0.8051 | 0.6998 | 0.7607 | 0.7541 | 0.9301 | 0.8282 | 0.7233 | 0.8004 | -2023-07-27 02:19:05,669 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 02:19:10,408 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:19:10,442 Ensemble Predictions -2023-07-27 02:19:10,443 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:19:10,443 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:19:10,443 | 256x192_pose_dual_101_d256d256d256 | 0.7320 | 0.9254 | 0.8152 | 0.7086 | 0.7706 | 0.7638 | 0.9337 | 0.8371 | 0.7338 | 0.8090 | -2023-07-27 02:19:10,445 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 02:19:18,763 Epoch: [102][0/631] Time 5.235s (5.235s) Speed 6.1 samples/s Data 3.566s (3.566s) Loss 0.000605 (0.000605) Accuracy 0.936 (0.936) loss_pose: 0.000185 loss_cons: 0.000420 -2023-07-27 02:21:53,637 Epoch: [102][100/631] Time 1.529s (1.585s) Speed 20.9 samples/s Data 0.000s (0.036s) Loss 0.000602 (0.000645) Accuracy 0.914 (0.876) loss_pose: 0.000206 loss_cons: 0.000396 -2023-07-27 02:24:28,658 Epoch: [102][200/631] Time 1.524s (1.568s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000757 (0.000642) Accuracy 0.858 (0.873) loss_pose: 0.000241 loss_cons: 0.000516 -2023-07-27 02:27:03,006 Epoch: [102][300/631] Time 1.534s (1.560s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000632 (0.000646) Accuracy 0.910 (0.873) loss_pose: 0.000191 loss_cons: 0.000442 -2023-07-27 02:29:36,806 Epoch: [102][400/631] Time 1.518s (1.554s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000647 (0.000645) Accuracy 0.835 (0.874) loss_pose: 0.000246 loss_cons: 0.000401 -2023-07-27 02:32:11,881 Epoch: [102][500/631] Time 1.627s (1.554s) Speed 19.7 samples/s Data 0.000s (0.008s) Loss 0.000629 (0.000643) Accuracy 0.892 (0.873) loss_pose: 0.000241 loss_cons: 0.000388 -2023-07-27 02:34:45,696 Epoch: [102][600/631] Time 1.522s (1.551s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000619 (0.000644) Accuracy 0.889 (0.874) loss_pose: 0.000223 loss_cons: 0.000397 -2023-07-27 02:35:31,254 Epoch: [102][630/631] Time 1.513s (1.549s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000619 (0.000644) Accuracy 0.883 (0.873) loss_pose: 0.000209 loss_cons: 0.000410 -2023-07-27 02:35:38,667 Test: [0/199] Time 5.347 (5.347) Loss 0.0002 (0.0002) Accuracy 0.891 (0.891) -2023-07-27 02:35:58,450 Test: [100/199] Time 0.197 (0.250) Loss 0.0002 (0.0002) Accuracy 0.911 (0.866) -2023-07-27 02:36:16,980 Test: [198/199] Time 0.134 (0.220) Loss 0.0002 (0.0002) Accuracy 0.941 (0.865) -2023-07-27 02:36:18,089 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 02:36:27,658 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:36:27,702 The Predictions of Net 1 -2023-07-27 02:36:27,702 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:36:27,704 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:36:27,705 | 256x192_pose_dual_101_d256d256d256 | 0.7240 | 0.9255 | 0.8059 | 0.7005 | 0.7625 | 0.7551 | 0.9309 | 0.8293 | 0.7237 | 0.8026 | -2023-07-27 02:36:28,401 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 02:36:33,308 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:36:33,347 The Predictions of Net 2 -2023-07-27 02:36:33,348 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:36:33,348 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:36:33,348 | 256x192_pose_dual_101_d256d256d256 | 0.7226 | 0.9156 | 0.8055 | 0.7020 | 0.7612 | 0.7551 | 0.9296 | 0.8287 | 0.7240 | 0.8017 | -2023-07-27 02:36:36,106 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 02:36:40,851 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:36:40,886 Ensemble Predictions -2023-07-27 02:36:40,887 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:36:40,887 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:36:40,887 | 256x192_pose_dual_101_d256d256d256 | 0.7352 | 0.9260 | 0.8157 | 0.7110 | 0.7718 | 0.7643 | 0.9336 | 0.8371 | 0.7346 | 0.8097 | -2023-07-27 02:36:40,889 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 02:36:48,892 Epoch: [103][0/631] Time 5.057s (5.057s) Speed 6.3 samples/s Data 3.336s (3.336s) Loss 0.000605 (0.000605) Accuracy 0.882 (0.882) loss_pose: 0.000224 loss_cons: 0.000381 -2023-07-27 02:39:24,856 Epoch: [103][100/631] Time 1.521s (1.594s) Speed 21.0 samples/s Data 0.000s (0.033s) Loss 0.000643 (0.000638) Accuracy 0.840 (0.875) loss_pose: 0.000225 loss_cons: 0.000418 -2023-07-27 02:42:00,410 Epoch: [103][200/631] Time 1.518s (1.575s) Speed 21.1 samples/s Data 0.000s (0.017s) Loss 0.000606 (0.000641) Accuracy 0.925 (0.872) loss_pose: 0.000176 loss_cons: 0.000430 -2023-07-27 02:44:35,358 Epoch: [103][300/631] Time 1.583s (1.567s) Speed 20.2 samples/s Data 0.000s (0.011s) Loss 0.000793 (0.000640) Accuracy 0.897 (0.871) loss_pose: 0.000232 loss_cons: 0.000562 -2023-07-27 02:47:12,357 Epoch: [103][400/631] Time 1.604s (1.567s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000560 (0.000641) Accuracy 0.895 (0.870) loss_pose: 0.000212 loss_cons: 0.000349 -2023-07-27 02:49:48,080 Epoch: [103][500/631] Time 1.533s (1.565s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000672 (0.000640) Accuracy 0.862 (0.871) loss_pose: 0.000261 loss_cons: 0.000411 -2023-07-27 02:52:24,893 Epoch: [103][600/631] Time 1.596s (1.566s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000627 (0.000641) Accuracy 0.860 (0.870) loss_pose: 0.000219 loss_cons: 0.000408 -2023-07-27 02:53:13,061 Epoch: [103][630/631] Time 1.634s (1.568s) Speed 19.6 samples/s Data 0.000s (0.006s) Loss 0.000611 (0.000641) Accuracy 0.870 (0.870) loss_pose: 0.000243 loss_cons: 0.000368 -2023-07-27 02:53:20,324 Test: [0/199] Time 4.736 (4.736) Loss 0.0002 (0.0002) Accuracy 0.900 (0.900) -2023-07-27 02:53:41,086 Test: [100/199] Time 0.205 (0.254) Loss 0.0002 (0.0002) Accuracy 0.898 (0.864) -2023-07-27 02:53:59,733 Test: [198/199] Time 0.137 (0.223) Loss 0.0002 (0.0002) Accuracy 0.923 (0.862) -2023-07-27 02:54:01,515 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 02:54:10,799 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:54:10,837 The Predictions of Net 1 -2023-07-27 02:54:10,837 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:54:10,838 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:54:10,838 | 256x192_pose_dual_101_d256d256d256 | 0.7180 | 0.9148 | 0.8029 | 0.6984 | 0.7535 | 0.7504 | 0.9281 | 0.8223 | 0.7206 | 0.7954 | -2023-07-27 02:54:11,535 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 02:54:16,338 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:54:16,375 The Predictions of Net 2 -2023-07-27 02:54:16,376 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:54:16,376 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:54:16,376 | 256x192_pose_dual_101_d256d256d256 | 0.7200 | 0.9258 | 0.7950 | 0.6982 | 0.7577 | 0.7511 | 0.9315 | 0.8194 | 0.7196 | 0.7983 | -2023-07-27 02:54:17,069 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 02:54:21,887 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 02:54:21,926 Ensemble Predictions -2023-07-27 02:54:21,927 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 02:54:21,927 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 02:54:21,927 | 256x192_pose_dual_101_d256d256d256 | 0.7305 | 0.9258 | 0.8054 | 0.7052 | 0.7697 | 0.7610 | 0.9336 | 0.8297 | 0.7297 | 0.8081 | -2023-07-27 02:54:21,928 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 02:54:29,802 Epoch: [104][0/631] Time 4.956s (4.956s) Speed 6.5 samples/s Data 3.144s (3.144s) Loss 0.000556 (0.000556) Accuracy 0.906 (0.906) loss_pose: 0.000176 loss_cons: 0.000381 -2023-07-27 02:57:10,519 Epoch: [104][100/631] Time 1.524s (1.640s) Speed 21.0 samples/s Data 0.000s (0.032s) Loss 0.000535 (0.000621) Accuracy 0.832 (0.872) loss_pose: 0.000245 loss_cons: 0.000290 -2023-07-27 02:59:50,475 Epoch: [104][200/631] Time 1.509s (1.620s) Speed 21.2 samples/s Data 0.000s (0.016s) Loss 0.000640 (0.000632) Accuracy 0.893 (0.872) loss_pose: 0.000182 loss_cons: 0.000458 -2023-07-27 03:02:32,579 Epoch: [104][300/631] Time 1.519s (1.620s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000742 (0.000635) Accuracy 0.886 (0.872) loss_pose: 0.000219 loss_cons: 0.000523 -2023-07-27 03:05:06,296 Epoch: [104][400/631] Time 1.525s (1.600s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000658 (0.000636) Accuracy 0.840 (0.873) loss_pose: 0.000224 loss_cons: 0.000434 -2023-07-27 03:07:42,304 Epoch: [104][500/631] Time 1.607s (1.592s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000689 (0.000634) Accuracy 0.773 (0.874) loss_pose: 0.000270 loss_cons: 0.000419 -2023-07-27 03:10:15,894 Epoch: [104][600/631] Time 1.510s (1.582s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000633 (0.000635) Accuracy 0.842 (0.873) loss_pose: 0.000190 loss_cons: 0.000443 -2023-07-27 03:11:01,316 Epoch: [104][630/631] Time 1.513s (1.579s) Speed 21.1 samples/s Data 0.000s (0.005s) Loss 0.000693 (0.000634) Accuracy 0.860 (0.873) loss_pose: 0.000214 loss_cons: 0.000480 -2023-07-27 03:11:08,478 Test: [0/199] Time 4.701 (4.701) Loss 0.0002 (0.0002) Accuracy 0.889 (0.889) -2023-07-27 03:11:29,220 Test: [100/199] Time 0.203 (0.255) Loss 0.0002 (0.0002) Accuracy 0.904 (0.867) -2023-07-27 03:11:47,894 Test: [198/199] Time 0.199 (0.223) Loss 0.0002 (0.0002) Accuracy 0.907 (0.866) -2023-07-27 03:11:49,550 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 03:11:59,437 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:11:59,480 The Predictions of Net 1 -2023-07-27 03:11:59,481 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:11:59,482 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:11:59,482 | 256x192_pose_dual_101_d256d256d256 | 0.7242 | 0.9261 | 0.8047 | 0.7012 | 0.7615 | 0.7555 | 0.9328 | 0.8260 | 0.7246 | 0.8023 | -2023-07-27 03:12:00,175 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 03:12:05,007 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:12:05,053 The Predictions of Net 2 -2023-07-27 03:12:05,053 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:12:05,054 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:12:05,054 | 256x192_pose_dual_101_d256d256d256 | 0.7205 | 0.9254 | 0.8035 | 0.6981 | 0.7570 | 0.7517 | 0.9320 | 0.8210 | 0.7214 | 0.7976 | -2023-07-27 03:12:05,741 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 03:12:10,447 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:12:10,481 Ensemble Predictions -2023-07-27 03:12:10,482 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:12:10,483 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:12:10,483 | 256x192_pose_dual_101_d256d256d256 | 0.7320 | 0.9261 | 0.8145 | 0.7115 | 0.7709 | 0.7631 | 0.9373 | 0.8309 | 0.7326 | 0.8093 | -2023-07-27 03:12:10,483 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 03:12:18,977 Epoch: [105][0/631] Time 5.507s (5.507s) Speed 5.8 samples/s Data 3.812s (3.812s) Loss 0.000625 (0.000625) Accuracy 0.888 (0.888) loss_pose: 0.000208 loss_cons: 0.000417 -2023-07-27 03:14:55,201 Epoch: [105][100/631] Time 1.520s (1.601s) Speed 21.1 samples/s Data 0.000s (0.038s) Loss 0.000610 (0.000628) Accuracy 0.859 (0.878) loss_pose: 0.000234 loss_cons: 0.000377 -2023-07-27 03:17:31,169 Epoch: [105][200/631] Time 1.611s (1.581s) Speed 19.9 samples/s Data 0.000s (0.019s) Loss 0.000668 (0.000629) Accuracy 0.918 (0.877) loss_pose: 0.000185 loss_cons: 0.000484 -2023-07-27 03:20:06,362 Epoch: [105][300/631] Time 1.520s (1.571s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000666 (0.000631) Accuracy 0.901 (0.877) loss_pose: 0.000200 loss_cons: 0.000466 -2023-07-27 03:22:41,936 Epoch: [105][400/631] Time 1.523s (1.567s) Speed 21.0 samples/s Data 0.001s (0.010s) Loss 0.000649 (0.000632) Accuracy 0.842 (0.878) loss_pose: 0.000199 loss_cons: 0.000449 -2023-07-27 03:25:18,600 Epoch: [105][500/631] Time 1.553s (1.567s) Speed 20.6 samples/s Data 0.000s (0.008s) Loss 0.000635 (0.000631) Accuracy 0.914 (0.877) loss_pose: 0.000220 loss_cons: 0.000415 -2023-07-27 03:27:54,371 Epoch: [105][600/631] Time 1.606s (1.566s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000673 (0.000633) Accuracy 0.846 (0.876) loss_pose: 0.000224 loss_cons: 0.000449 -2023-07-27 03:28:42,509 Epoch: [105][630/631] Time 1.602s (1.567s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000568 (0.000633) Accuracy 0.842 (0.876) loss_pose: 0.000240 loss_cons: 0.000328 -2023-07-27 03:28:50,603 Test: [0/199] Time 5.726 (5.726) Loss 0.0002 (0.0002) Accuracy 0.895 (0.895) -2023-07-27 03:29:10,202 Test: [100/199] Time 0.196 (0.251) Loss 0.0002 (0.0002) Accuracy 0.888 (0.868) -2023-07-27 03:29:28,756 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.896 (0.866) -2023-07-27 03:29:30,563 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 03:29:42,013 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:29:42,047 The Predictions of Net 1 -2023-07-27 03:29:42,048 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:29:42,048 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:29:42,049 | 256x192_pose_dual_101_d256d256d256 | 0.7244 | 0.9253 | 0.8039 | 0.7030 | 0.7624 | 0.7574 | 0.9323 | 0.8286 | 0.7252 | 0.8057 | -2023-07-27 03:29:42,736 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 03:29:47,474 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:29:47,516 The Predictions of Net 2 -2023-07-27 03:29:47,516 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:29:47,517 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:29:47,517 | 256x192_pose_dual_101_d256d256d256 | 0.7268 | 0.9255 | 0.8039 | 0.7021 | 0.7654 | 0.7572 | 0.9323 | 0.8246 | 0.7259 | 0.8044 | -2023-07-27 03:29:48,204 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 03:29:52,972 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:29:53,007 Ensemble Predictions -2023-07-27 03:29:53,008 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:29:53,009 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:29:53,009 | 256x192_pose_dual_101_d256d256d256 | 0.7363 | 0.9260 | 0.8151 | 0.7129 | 0.7766 | 0.7668 | 0.9370 | 0.8364 | 0.7354 | 0.8143 | -2023-07-27 03:29:53,010 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 03:30:02,338 Epoch: [106][0/631] Time 5.393s (5.393s) Speed 5.9 samples/s Data 3.707s (3.707s) Loss 0.000549 (0.000549) Accuracy 0.880 (0.880) loss_pose: 0.000192 loss_cons: 0.000358 -2023-07-27 03:32:39,153 Epoch: [106][100/631] Time 1.511s (1.606s) Speed 21.2 samples/s Data 0.000s (0.037s) Loss 0.000556 (0.000627) Accuracy 0.872 (0.873) loss_pose: 0.000186 loss_cons: 0.000370 -2023-07-27 03:35:13,902 Epoch: [106][200/631] Time 1.528s (1.577s) Speed 20.9 samples/s Data 0.000s (0.019s) Loss 0.000645 (0.000633) Accuracy 0.862 (0.875) loss_pose: 0.000235 loss_cons: 0.000411 -2023-07-27 03:37:49,293 Epoch: [106][300/631] Time 1.526s (1.569s) Speed 21.0 samples/s Data 0.001s (0.013s) Loss 0.000697 (0.000631) Accuracy 0.865 (0.876) loss_pose: 0.000219 loss_cons: 0.000478 -2023-07-27 03:40:24,087 Epoch: [106][400/631] Time 1.557s (1.564s) Speed 20.6 samples/s Data 0.000s (0.010s) Loss 0.000645 (0.000632) Accuracy 0.880 (0.876) loss_pose: 0.000181 loss_cons: 0.000464 -2023-07-27 03:42:58,316 Epoch: [106][500/631] Time 1.522s (1.560s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000690 (0.000636) Accuracy 0.925 (0.874) loss_pose: 0.000188 loss_cons: 0.000502 -2023-07-27 03:45:32,325 Epoch: [106][600/631] Time 1.521s (1.556s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000684 (0.000640) Accuracy 0.883 (0.874) loss_pose: 0.000195 loss_cons: 0.000489 -2023-07-27 03:46:17,636 Epoch: [106][630/631] Time 1.510s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000580 (0.000643) Accuracy 0.895 (0.873) loss_pose: 0.000215 loss_cons: 0.000364 -2023-07-27 03:46:24,913 Test: [0/199] Time 4.855 (4.855) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-27 03:46:45,060 Test: [100/199] Time 0.200 (0.249) Loss 0.0002 (0.0002) Accuracy 0.894 (0.859) -2023-07-27 03:47:03,616 Test: [198/199] Time 0.135 (0.220) Loss 0.0002 (0.0002) Accuracy 0.914 (0.858) -2023-07-27 03:47:05,450 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 03:47:15,197 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:47:15,234 The Predictions of Net 1 -2023-07-27 03:47:15,235 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:47:15,236 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:47:15,236 | 256x192_pose_dual_101_d256d256d256 | 0.7122 | 0.9158 | 0.7936 | 0.6887 | 0.7475 | 0.7428 | 0.9255 | 0.8161 | 0.7120 | 0.7892 | -2023-07-27 03:47:15,927 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 03:47:22,754 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:47:22,788 The Predictions of Net 2 -2023-07-27 03:47:22,789 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:47:22,790 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:47:22,790 | 256x192_pose_dual_101_d256d256d256 | 0.7240 | 0.9158 | 0.8046 | 0.7020 | 0.7632 | 0.7547 | 0.9298 | 0.8234 | 0.7238 | 0.8015 | -2023-07-27 03:47:23,472 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 03:47:28,239 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 03:47:28,275 Ensemble Predictions -2023-07-27 03:47:28,276 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 03:47:28,277 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 03:47:28,277 | 256x192_pose_dual_101_d256d256d256 | 0.7297 | 0.9257 | 0.8150 | 0.7061 | 0.7681 | 0.7600 | 0.9318 | 0.8314 | 0.7294 | 0.8062 | -2023-07-27 03:47:28,278 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 03:47:37,518 Epoch: [107][0/631] Time 6.029s (6.029s) Speed 5.3 samples/s Data 4.322s (4.322s) Loss 0.000681 (0.000681) Accuracy 0.833 (0.833) loss_pose: 0.000242 loss_cons: 0.000438 -2023-07-27 03:50:12,305 Epoch: [107][100/631] Time 1.524s (1.592s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000639 (0.000651) Accuracy 0.907 (0.867) loss_pose: 0.000194 loss_cons: 0.000445 -2023-07-27 03:52:46,549 Epoch: [107][200/631] Time 1.570s (1.567s) Speed 20.4 samples/s Data 0.000s (0.022s) Loss 0.000590 (0.000643) Accuracy 0.897 (0.868) loss_pose: 0.000183 loss_cons: 0.000406 -2023-07-27 03:55:20,289 Epoch: [107][300/631] Time 1.581s (1.557s) Speed 20.2 samples/s Data 0.000s (0.015s) Loss 0.000717 (0.000640) Accuracy 0.883 (0.871) loss_pose: 0.000216 loss_cons: 0.000501 -2023-07-27 03:57:55,239 Epoch: [107][400/631] Time 1.518s (1.555s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000623 (0.000640) Accuracy 0.870 (0.871) loss_pose: 0.000208 loss_cons: 0.000415 -2023-07-27 04:00:30,319 Epoch: [107][500/631] Time 1.531s (1.555s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000647 (0.000640) Accuracy 0.889 (0.872) loss_pose: 0.000196 loss_cons: 0.000451 -2023-07-27 04:03:03,984 Epoch: [107][600/631] Time 1.522s (1.552s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000625 (0.000640) Accuracy 0.890 (0.873) loss_pose: 0.000206 loss_cons: 0.000419 -2023-07-27 04:03:49,369 Epoch: [107][630/631] Time 1.505s (1.550s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000520 (0.000639) Accuracy 0.894 (0.872) loss_pose: 0.000196 loss_cons: 0.000325 -2023-07-27 04:03:56,810 Test: [0/199] Time 5.062 (5.062) Loss 0.0002 (0.0002) Accuracy 0.897 (0.897) -2023-07-27 04:04:16,946 Test: [100/199] Time 0.201 (0.251) Loss 0.0002 (0.0002) Accuracy 0.920 (0.866) -2023-07-27 04:04:35,542 Test: [198/199] Time 0.136 (0.221) Loss 0.0002 (0.0002) Accuracy 0.946 (0.864) -2023-07-27 04:04:37,286 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 04:04:47,261 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:04:47,300 The Predictions of Net 1 -2023-07-27 04:04:47,301 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:04:47,301 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:04:47,301 | 256x192_pose_dual_101_d256d256d256 | 0.7210 | 0.9156 | 0.8042 | 0.6948 | 0.7643 | 0.7526 | 0.9298 | 0.8232 | 0.7183 | 0.8039 | -2023-07-27 04:04:47,992 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 04:04:52,773 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:04:52,811 The Predictions of Net 2 -2023-07-27 04:04:52,812 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:04:52,812 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:04:52,813 | 256x192_pose_dual_101_d256d256d256 | 0.7272 | 0.9255 | 0.8134 | 0.6996 | 0.7696 | 0.7580 | 0.9342 | 0.8309 | 0.7241 | 0.8086 | -2023-07-27 04:04:53,506 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 04:05:00,335 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:05:00,370 Ensemble Predictions -2023-07-27 04:05:00,371 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:05:00,371 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:05:00,371 | 256x192_pose_dual_101_d256d256d256 | 0.7348 | 0.9259 | 0.8155 | 0.7079 | 0.7784 | 0.7653 | 0.9364 | 0.8377 | 0.7315 | 0.8159 | -2023-07-27 04:05:00,372 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 04:05:09,794 Epoch: [108][0/631] Time 6.472s (6.472s) Speed 4.9 samples/s Data 4.729s (4.729s) Loss 0.000639 (0.000639) Accuracy 0.854 (0.854) loss_pose: 0.000205 loss_cons: 0.000434 -2023-07-27 04:07:45,011 Epoch: [108][100/631] Time 1.515s (1.601s) Speed 21.1 samples/s Data 0.000s (0.047s) Loss 0.000577 (0.000631) Accuracy 0.888 (0.871) loss_pose: 0.000181 loss_cons: 0.000395 -2023-07-27 04:10:19,236 Epoch: [108][200/631] Time 1.518s (1.572s) Speed 21.1 samples/s Data 0.000s (0.024s) Loss 0.000690 (0.000631) Accuracy 0.870 (0.872) loss_pose: 0.000218 loss_cons: 0.000472 -2023-07-27 04:12:53,319 Epoch: [108][300/631] Time 1.518s (1.561s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000728 (0.000632) Accuracy 0.871 (0.872) loss_pose: 0.000199 loss_cons: 0.000529 -2023-07-27 04:15:27,386 Epoch: [108][400/631] Time 1.577s (1.556s) Speed 20.3 samples/s Data 0.000s (0.012s) Loss 0.000649 (0.000630) Accuracy 0.877 (0.872) loss_pose: 0.000242 loss_cons: 0.000407 -2023-07-27 04:18:03,733 Epoch: [108][500/631] Time 1.603s (1.558s) Speed 20.0 samples/s Data 0.000s (0.010s) Loss 0.000557 (0.000632) Accuracy 0.859 (0.872) loss_pose: 0.000219 loss_cons: 0.000337 -2023-07-27 04:20:37,565 Epoch: [108][600/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000630 (0.000630) Accuracy 0.827 (0.873) loss_pose: 0.000232 loss_cons: 0.000398 -2023-07-27 04:21:23,584 Epoch: [108][630/631] Time 1.594s (1.554s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000600 (0.000631) Accuracy 0.866 (0.873) loss_pose: 0.000223 loss_cons: 0.000377 -2023-07-27 04:21:31,626 Test: [0/199] Time 5.614 (5.614) Loss 0.0002 (0.0002) Accuracy 0.894 (0.894) -2023-07-27 04:21:51,350 Test: [100/199] Time 0.201 (0.251) Loss 0.0002 (0.0002) Accuracy 0.904 (0.869) -2023-07-27 04:22:10,012 Test: [198/199] Time 0.226 (0.221) Loss 0.0002 (0.0002) Accuracy 0.949 (0.866) -2023-07-27 04:22:11,331 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 04:22:20,485 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:22:20,520 The Predictions of Net 1 -2023-07-27 04:22:20,521 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:22:20,522 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:22:20,522 | 256x192_pose_dual_101_d256d256d256 | 0.7227 | 0.9159 | 0.8044 | 0.6979 | 0.7638 | 0.7548 | 0.9296 | 0.8245 | 0.7217 | 0.8044 | -2023-07-27 04:22:21,215 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 04:22:25,981 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:22:26,014 The Predictions of Net 2 -2023-07-27 04:22:26,014 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:22:26,015 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:22:26,015 | 256x192_pose_dual_101_d256d256d256 | 0.7273 | 0.9255 | 0.8044 | 0.7019 | 0.7701 | 0.7591 | 0.9314 | 0.8297 | 0.7269 | 0.8076 | -2023-07-27 04:22:26,699 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 04:22:31,621 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:22:31,654 Ensemble Predictions -2023-07-27 04:22:31,655 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:22:31,656 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:22:31,656 | 256x192_pose_dual_101_d256d256d256 | 0.7367 | 0.9258 | 0.8146 | 0.7116 | 0.7783 | 0.7668 | 0.9347 | 0.8375 | 0.7348 | 0.8152 | -2023-07-27 04:22:31,657 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 04:22:40,638 Epoch: [109][0/631] Time 5.809s (5.809s) Speed 5.5 samples/s Data 4.142s (4.142s) Loss 0.000615 (0.000615) Accuracy 0.849 (0.849) loss_pose: 0.000248 loss_cons: 0.000367 -2023-07-27 04:25:17,599 Epoch: [109][100/631] Time 1.525s (1.612s) Speed 21.0 samples/s Data 0.000s (0.041s) Loss 0.000575 (0.000624) Accuracy 0.837 (0.872) loss_pose: 0.000255 loss_cons: 0.000320 -2023-07-27 04:27:51,357 Epoch: [109][200/631] Time 1.530s (1.575s) Speed 20.9 samples/s Data 0.000s (0.021s) Loss 0.000708 (0.000623) Accuracy 0.787 (0.875) loss_pose: 0.000269 loss_cons: 0.000439 -2023-07-27 04:30:24,721 Epoch: [109][300/631] Time 1.524s (1.561s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000720 (0.000626) Accuracy 0.903 (0.874) loss_pose: 0.000218 loss_cons: 0.000502 -2023-07-27 04:32:58,493 Epoch: [109][400/631] Time 1.522s (1.555s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000551 (0.000627) Accuracy 0.903 (0.875) loss_pose: 0.000199 loss_cons: 0.000351 -2023-07-27 04:35:32,577 Epoch: [109][500/631] Time 1.518s (1.552s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000648 (0.000627) Accuracy 0.851 (0.873) loss_pose: 0.000240 loss_cons: 0.000407 -2023-07-27 04:38:04,963 Epoch: [109][600/631] Time 1.514s (1.548s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000683 (0.000632) Accuracy 0.863 (0.872) loss_pose: 0.000260 loss_cons: 0.000423 -2023-07-27 04:38:50,362 Epoch: [109][630/631] Time 1.508s (1.546s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000581 (0.000631) Accuracy 0.935 (0.873) loss_pose: 0.000172 loss_cons: 0.000408 -2023-07-27 04:38:58,280 Test: [0/199] Time 5.770 (5.770) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-27 04:39:18,218 Test: [100/199] Time 0.206 (0.255) Loss 0.0002 (0.0002) Accuracy 0.892 (0.863) -2023-07-27 04:39:37,127 Test: [198/199] Time 0.197 (0.224) Loss 0.0002 (0.0002) Accuracy 0.967 (0.861) -2023-07-27 04:39:42,897 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 04:39:50,647 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:39:50,685 The Predictions of Net 1 -2023-07-27 04:39:50,686 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:39:50,687 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:39:50,687 | 256x192_pose_dual_101_d256d256d256 | 0.7200 | 0.9256 | 0.7939 | 0.6953 | 0.7623 | 0.7518 | 0.9331 | 0.8182 | 0.7184 | 0.8017 | -2023-07-27 04:39:51,376 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 04:39:56,131 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:39:56,169 The Predictions of Net 2 -2023-07-27 04:39:56,170 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:39:56,171 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:39:56,171 | 256x192_pose_dual_101_d256d256d256 | 0.7264 | 0.9255 | 0.8039 | 0.7011 | 0.7665 | 0.7585 | 0.9356 | 0.8298 | 0.7262 | 0.8069 | -2023-07-27 04:39:56,857 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 04:40:01,618 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:40:01,653 Ensemble Predictions -2023-07-27 04:40:01,654 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:40:01,654 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:40:01,654 | 256x192_pose_dual_101_d256d256d256 | 0.7340 | 0.9265 | 0.8144 | 0.7118 | 0.7762 | 0.7665 | 0.9389 | 0.8342 | 0.7341 | 0.8153 | -2023-07-27 04:40:01,655 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 04:40:09,742 Epoch: [110][0/631] Time 5.024s (5.024s) Speed 6.4 samples/s Data 3.302s (3.302s) Loss 0.000620 (0.000620) Accuracy 0.873 (0.873) loss_pose: 0.000226 loss_cons: 0.000394 -2023-07-27 04:42:44,391 Epoch: [110][100/631] Time 1.515s (1.581s) Speed 21.1 samples/s Data 0.001s (0.033s) Loss 0.000636 (0.000633) Accuracy 0.905 (0.872) loss_pose: 0.000196 loss_cons: 0.000440 -2023-07-27 04:45:19,182 Epoch: [110][200/631] Time 1.524s (1.565s) Speed 21.0 samples/s Data 0.000s (0.017s) Loss 0.000593 (0.000632) Accuracy 0.877 (0.875) loss_pose: 0.000219 loss_cons: 0.000375 -2023-07-27 04:47:53,728 Epoch: [110][300/631] Time 1.529s (1.558s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000648 (0.000632) Accuracy 0.836 (0.875) loss_pose: 0.000243 loss_cons: 0.000405 -2023-07-27 04:50:27,274 Epoch: [110][400/631] Time 1.522s (1.553s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000632 (0.000631) Accuracy 0.882 (0.875) loss_pose: 0.000212 loss_cons: 0.000420 -2023-07-27 04:53:02,492 Epoch: [110][500/631] Time 1.521s (1.552s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000628 (0.000632) Accuracy 0.897 (0.875) loss_pose: 0.000206 loss_cons: 0.000422 -2023-07-27 04:55:36,525 Epoch: [110][600/631] Time 1.512s (1.550s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000715 (0.000632) Accuracy 0.869 (0.875) loss_pose: 0.000233 loss_cons: 0.000482 -2023-07-27 04:56:21,919 Epoch: [110][630/631] Time 1.525s (1.549s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000591 (0.000632) Accuracy 0.887 (0.875) loss_pose: 0.000213 loss_cons: 0.000378 -2023-07-27 04:56:30,275 Test: [0/199] Time 6.108 (6.108) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-27 04:56:49,962 Test: [100/199] Time 0.205 (0.256) Loss 0.0002 (0.0002) Accuracy 0.905 (0.866) -2023-07-27 04:57:08,661 Test: [198/199] Time 0.140 (0.224) Loss 0.0002 (0.0002) Accuracy 0.944 (0.865) -2023-07-27 04:57:10,849 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 04:57:20,772 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:57:20,811 The Predictions of Net 1 -2023-07-27 04:57:20,813 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:57:20,813 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:57:20,813 | 256x192_pose_dual_101_d256d256d256 | 0.7235 | 0.9254 | 0.8037 | 0.6994 | 0.7650 | 0.7560 | 0.9326 | 0.8259 | 0.7237 | 0.8045 | -2023-07-27 04:57:23,551 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 04:57:28,363 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:57:28,397 The Predictions of Net 2 -2023-07-27 04:57:28,398 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:57:28,399 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:57:28,399 | 256x192_pose_dual_101_d256d256d256 | 0.7272 | 0.9256 | 0.8142 | 0.7041 | 0.7665 | 0.7587 | 0.9321 | 0.8317 | 0.7280 | 0.8053 | -2023-07-27 04:57:29,085 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 04:57:33,859 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 04:57:33,893 Ensemble Predictions -2023-07-27 04:57:33,893 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 04:57:33,894 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 04:57:33,894 | 256x192_pose_dual_101_d256d256d256 | 0.7365 | 0.9262 | 0.8147 | 0.7128 | 0.7757 | 0.7666 | 0.9367 | 0.8353 | 0.7358 | 0.8135 | -2023-07-27 04:57:33,895 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 04:57:42,547 Epoch: [111][0/631] Time 5.502s (5.502s) Speed 5.8 samples/s Data 3.790s (3.790s) Loss 0.000577 (0.000577) Accuracy 0.872 (0.872) loss_pose: 0.000196 loss_cons: 0.000380 -2023-07-27 05:00:17,287 Epoch: [111][100/631] Time 1.532s (1.587s) Speed 20.9 samples/s Data 0.000s (0.038s) Loss 0.000596 (0.000638) Accuracy 0.889 (0.873) loss_pose: 0.000214 loss_cons: 0.000383 -2023-07-27 05:02:51,289 Epoch: [111][200/631] Time 1.541s (1.563s) Speed 20.8 samples/s Data 0.000s (0.019s) Loss 0.000645 (0.000636) Accuracy 0.891 (0.874) loss_pose: 0.000207 loss_cons: 0.000439 -2023-07-27 05:05:25,684 Epoch: [111][300/631] Time 1.513s (1.557s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000545 (0.000630) Accuracy 0.905 (0.877) loss_pose: 0.000193 loss_cons: 0.000351 -2023-07-27 05:07:59,628 Epoch: [111][400/631] Time 1.524s (1.553s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000558 (0.000630) Accuracy 0.907 (0.877) loss_pose: 0.000188 loss_cons: 0.000370 -2023-07-27 05:10:33,888 Epoch: [111][500/631] Time 1.550s (1.551s) Speed 20.6 samples/s Data 0.000s (0.008s) Loss 0.000572 (0.000629) Accuracy 0.890 (0.876) loss_pose: 0.000221 loss_cons: 0.000351 -2023-07-27 05:13:10,280 Epoch: [111][600/631] Time 1.510s (1.553s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000608 (0.000629) Accuracy 0.889 (0.876) loss_pose: 0.000223 loss_cons: 0.000385 -2023-07-27 05:13:55,807 Epoch: [111][630/631] Time 1.514s (1.551s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000532 (0.000629) Accuracy 0.870 (0.876) loss_pose: 0.000213 loss_cons: 0.000319 -2023-07-27 05:14:03,726 Test: [0/199] Time 5.783 (5.783) Loss 0.0002 (0.0002) Accuracy 0.890 (0.890) -2023-07-27 05:14:23,658 Test: [100/199] Time 0.199 (0.255) Loss 0.0002 (0.0002) Accuracy 0.889 (0.865) -2023-07-27 05:14:42,478 Test: [198/199] Time 0.152 (0.224) Loss 0.0002 (0.0002) Accuracy 0.935 (0.864) -2023-07-27 05:14:43,929 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 05:14:53,716 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:14:53,755 The Predictions of Net 1 -2023-07-27 05:14:53,755 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:14:53,756 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:14:53,756 | 256x192_pose_dual_101_d256d256d256 | 0.7242 | 0.9253 | 0.8015 | 0.6990 | 0.7629 | 0.7555 | 0.9318 | 0.8246 | 0.7243 | 0.8028 | -2023-07-27 05:14:54,446 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 05:14:59,188 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:14:59,222 The Predictions of Net 2 -2023-07-27 05:14:59,222 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:14:59,223 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:14:59,224 | 256x192_pose_dual_101_d256d256d256 | 0.7255 | 0.9252 | 0.8043 | 0.7040 | 0.7634 | 0.7579 | 0.9337 | 0.8292 | 0.7291 | 0.8022 | -2023-07-27 05:15:02,008 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 05:15:06,764 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:15:06,798 Ensemble Predictions -2023-07-27 05:15:06,799 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:15:06,799 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:15:06,800 | 256x192_pose_dual_101_d256d256d256 | 0.7341 | 0.9260 | 0.8138 | 0.7118 | 0.7740 | 0.7665 | 0.9370 | 0.8377 | 0.7364 | 0.8123 | -2023-07-27 05:15:06,801 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 05:15:15,648 Epoch: [112][0/631] Time 5.746s (5.746s) Speed 5.6 samples/s Data 4.050s (4.050s) Loss 0.000590 (0.000590) Accuracy 0.882 (0.882) loss_pose: 0.000215 loss_cons: 0.000375 -2023-07-27 05:17:51,644 Epoch: [112][100/631] Time 1.521s (1.601s) Speed 21.0 samples/s Data 0.001s (0.041s) Loss 0.000686 (0.000627) Accuracy 0.842 (0.876) loss_pose: 0.000250 loss_cons: 0.000436 -2023-07-27 05:20:25,280 Epoch: [112][200/631] Time 1.513s (1.569s) Speed 21.2 samples/s Data 0.000s (0.021s) Loss 0.000676 (0.000624) Accuracy 0.844 (0.876) loss_pose: 0.000220 loss_cons: 0.000456 -2023-07-27 05:23:00,033 Epoch: [112][300/631] Time 1.606s (1.562s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000623 (0.000625) Accuracy 0.909 (0.877) loss_pose: 0.000188 loss_cons: 0.000435 -2023-07-27 05:25:34,501 Epoch: [112][400/631] Time 1.524s (1.558s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000581 (0.000629) Accuracy 0.870 (0.876) loss_pose: 0.000222 loss_cons: 0.000359 -2023-07-27 05:28:08,625 Epoch: [112][500/631] Time 1.521s (1.554s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000570 (0.000628) Accuracy 0.925 (0.876) loss_pose: 0.000177 loss_cons: 0.000393 -2023-07-27 05:30:42,726 Epoch: [112][600/631] Time 1.518s (1.552s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000620 (0.000630) Accuracy 0.874 (0.877) loss_pose: 0.000216 loss_cons: 0.000404 -2023-07-27 05:31:29,675 Epoch: [112][630/631] Time 1.578s (1.553s) Speed 20.3 samples/s Data 0.000s (0.007s) Loss 0.000571 (0.000629) Accuracy 0.901 (0.877) loss_pose: 0.000215 loss_cons: 0.000355 -2023-07-27 05:31:36,720 Test: [0/199] Time 4.716 (4.716) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-27 05:31:57,346 Test: [100/199] Time 0.210 (0.252) Loss 0.0002 (0.0002) Accuracy 0.901 (0.870) -2023-07-27 05:32:15,975 Test: [198/199] Time 0.133 (0.222) Loss 0.0002 (0.0002) Accuracy 0.898 (0.867) -2023-07-27 05:32:17,511 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 05:32:27,006 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:32:27,049 The Predictions of Net 1 -2023-07-27 05:32:27,050 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:32:27,051 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:32:27,051 | 256x192_pose_dual_101_d256d256d256 | 0.7273 | 0.9253 | 0.8046 | 0.7044 | 0.7664 | 0.7578 | 0.9320 | 0.8298 | 0.7263 | 0.8051 | -2023-07-27 05:32:27,756 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 05:32:32,570 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:32:32,606 The Predictions of Net 2 -2023-07-27 05:32:32,606 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:32:32,607 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:32:32,607 | 256x192_pose_dual_101_d256d256d256 | 0.7259 | 0.9255 | 0.8040 | 0.7021 | 0.7654 | 0.7574 | 0.9318 | 0.8276 | 0.7259 | 0.8054 | -2023-07-27 05:32:33,297 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 05:32:38,015 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:32:38,050 Ensemble Predictions -2023-07-27 05:32:38,051 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:32:38,051 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:32:38,051 | 256x192_pose_dual_101_d256d256d256 | 0.7360 | 0.9259 | 0.8151 | 0.7114 | 0.7761 | 0.7667 | 0.9348 | 0.8358 | 0.7353 | 0.8139 | -2023-07-27 05:32:38,052 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 05:32:46,964 Epoch: [113][0/631] Time 4.921s (4.921s) Speed 6.5 samples/s Data 3.204s (3.204s) Loss 0.000648 (0.000648) Accuracy 0.876 (0.876) loss_pose: 0.000226 loss_cons: 0.000422 -2023-07-27 05:35:27,286 Epoch: [113][100/631] Time 1.529s (1.636s) Speed 20.9 samples/s Data 0.000s (0.032s) Loss 0.000670 (0.000607) Accuracy 0.851 (0.881) loss_pose: 0.000275 loss_cons: 0.000394 -2023-07-27 05:38:07,764 Epoch: [113][200/631] Time 1.513s (1.620s) Speed 21.2 samples/s Data 0.000s (0.016s) Loss 0.000575 (0.000614) Accuracy 0.852 (0.878) loss_pose: 0.000221 loss_cons: 0.000354 -2023-07-27 05:40:47,733 Epoch: [113][300/631] Time 1.517s (1.614s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000661 (0.000618) Accuracy 0.871 (0.877) loss_pose: 0.000234 loss_cons: 0.000428 -2023-07-27 05:43:25,587 Epoch: [113][400/631] Time 1.518s (1.605s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000588 (0.000619) Accuracy 0.890 (0.877) loss_pose: 0.000191 loss_cons: 0.000396 -2023-07-27 05:46:02,763 Epoch: [113][500/631] Time 1.523s (1.598s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000612 (0.000620) Accuracy 0.900 (0.877) loss_pose: 0.000212 loss_cons: 0.000400 -2023-07-27 05:48:37,753 Epoch: [113][600/631] Time 1.593s (1.590s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000672 (0.000622) Accuracy 0.843 (0.878) loss_pose: 0.000198 loss_cons: 0.000474 -2023-07-27 05:49:23,730 Epoch: [113][630/631] Time 1.514s (1.587s) Speed 21.1 samples/s Data 0.000s (0.005s) Loss 0.000611 (0.000622) Accuracy 0.872 (0.877) loss_pose: 0.000194 loss_cons: 0.000417 -2023-07-27 05:49:30,686 Test: [0/199] Time 4.415 (4.415) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-27 05:49:51,705 Test: [100/199] Time 0.205 (0.254) Loss 0.0002 (0.0002) Accuracy 0.897 (0.867) -2023-07-27 05:50:10,439 Test: [198/199] Time 0.137 (0.223) Loss 0.0002 (0.0002) Accuracy 0.917 (0.865) -2023-07-27 05:50:12,335 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 05:50:21,190 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:50:21,239 The Predictions of Net 1 -2023-07-27 05:50:21,239 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:50:21,241 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:50:21,242 | 256x192_pose_dual_101_d256d256d256 | 0.7236 | 0.9157 | 0.8020 | 0.6972 | 0.7639 | 0.7551 | 0.9285 | 0.8202 | 0.7218 | 0.8049 | -2023-07-27 05:50:21,966 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 05:50:26,848 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:50:26,883 The Predictions of Net 2 -2023-07-27 05:50:26,884 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:50:26,885 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:50:26,885 | 256x192_pose_dual_101_d256d256d256 | 0.7236 | 0.9253 | 0.8039 | 0.6994 | 0.7631 | 0.7560 | 0.9314 | 0.8279 | 0.7232 | 0.8051 | -2023-07-27 05:50:27,575 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 05:50:32,375 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 05:50:32,412 Ensemble Predictions -2023-07-27 05:50:32,413 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 05:50:32,413 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 05:50:32,414 | 256x192_pose_dual_101_d256d256d256 | 0.7338 | 0.9260 | 0.8143 | 0.7075 | 0.7750 | 0.7650 | 0.9344 | 0.8325 | 0.7322 | 0.8140 | -2023-07-27 05:50:32,415 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 05:50:41,336 Epoch: [114][0/631] Time 5.860s (5.860s) Speed 5.5 samples/s Data 4.157s (4.157s) Loss 0.000532 (0.000532) Accuracy 0.896 (0.896) loss_pose: 0.000208 loss_cons: 0.000324 -2023-07-27 05:53:17,769 Epoch: [114][100/631] Time 1.541s (1.607s) Speed 20.8 samples/s Data 0.000s (0.042s) Loss 0.000563 (0.000622) Accuracy 0.889 (0.873) loss_pose: 0.000247 loss_cons: 0.000315 -2023-07-27 05:55:52,773 Epoch: [114][200/631] Time 1.525s (1.579s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000635 (0.000619) Accuracy 0.898 (0.878) loss_pose: 0.000203 loss_cons: 0.000431 -2023-07-27 05:58:28,560 Epoch: [114][300/631] Time 1.512s (1.572s) Speed 21.2 samples/s Data 0.000s (0.014s) Loss 0.000679 (0.000619) Accuracy 0.897 (0.880) loss_pose: 0.000213 loss_cons: 0.000466 -2023-07-27 06:01:02,430 Epoch: [114][400/631] Time 1.526s (1.563s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000666 (0.000624) Accuracy 0.823 (0.878) loss_pose: 0.000234 loss_cons: 0.000433 -2023-07-27 06:03:37,802 Epoch: [114][500/631] Time 1.514s (1.562s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000725 (0.000623) Accuracy 0.844 (0.877) loss_pose: 0.000248 loss_cons: 0.000476 -2023-07-27 06:06:12,874 Epoch: [114][600/631] Time 1.519s (1.560s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000668 (0.000623) Accuracy 0.915 (0.877) loss_pose: 0.000193 loss_cons: 0.000475 -2023-07-27 06:06:58,324 Epoch: [114][630/631] Time 1.507s (1.558s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000566 (0.000623) Accuracy 0.869 (0.877) loss_pose: 0.000222 loss_cons: 0.000344 -2023-07-27 06:07:06,449 Test: [0/199] Time 5.757 (5.757) Loss 0.0002 (0.0002) Accuracy 0.894 (0.894) -2023-07-27 06:07:26,581 Test: [100/199] Time 0.203 (0.257) Loss 0.0002 (0.0002) Accuracy 0.919 (0.868) -2023-07-27 06:07:45,422 Test: [198/199] Time 0.391 (0.225) Loss 0.0002 (0.0002) Accuracy 0.931 (0.866) -2023-07-27 06:07:46,986 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 06:07:57,608 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:07:57,644 The Predictions of Net 1 -2023-07-27 06:07:57,645 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:07:57,646 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:07:57,646 | 256x192_pose_dual_101_d256d256d256 | 0.7287 | 0.9256 | 0.8128 | 0.7061 | 0.7674 | 0.7613 | 0.9356 | 0.8322 | 0.7305 | 0.8078 | -2023-07-27 06:07:58,333 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 06:08:03,153 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:08:03,189 The Predictions of Net 2 -2023-07-27 06:08:03,189 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:08:03,190 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:08:03,191 | 256x192_pose_dual_101_d256d256d256 | 0.7269 | 0.9253 | 0.8049 | 0.7033 | 0.7649 | 0.7581 | 0.9325 | 0.8278 | 0.7277 | 0.8041 | -2023-07-27 06:08:03,878 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 06:08:08,573 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:08:08,607 Ensemble Predictions -2023-07-27 06:08:08,607 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:08:08,608 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:08:08,608 | 256x192_pose_dual_101_d256d256d256 | 0.7363 | 0.9258 | 0.8153 | 0.7145 | 0.7758 | 0.7681 | 0.9373 | 0.8382 | 0.7383 | 0.8132 | -2023-07-27 06:08:08,609 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 06:08:17,511 Epoch: [115][0/631] Time 4.980s (4.980s) Speed 6.4 samples/s Data 3.270s (3.270s) Loss 0.000642 (0.000642) Accuracy 0.861 (0.861) loss_pose: 0.000222 loss_cons: 0.000421 -2023-07-27 06:10:53,293 Epoch: [115][100/631] Time 1.538s (1.592s) Speed 20.8 samples/s Data 0.000s (0.033s) Loss 0.000592 (0.000629) Accuracy 0.869 (0.877) loss_pose: 0.000199 loss_cons: 0.000393 -2023-07-27 06:13:28,588 Epoch: [115][200/631] Time 1.577s (1.572s) Speed 20.3 samples/s Data 0.000s (0.017s) Loss 0.000659 (0.000629) Accuracy 0.808 (0.877) loss_pose: 0.000250 loss_cons: 0.000409 -2023-07-27 06:16:03,042 Epoch: [115][300/631] Time 1.613s (1.563s) Speed 19.8 samples/s Data 0.000s (0.011s) Loss 0.000634 (0.000628) Accuracy 0.892 (0.878) loss_pose: 0.000201 loss_cons: 0.000434 -2023-07-27 06:18:37,584 Epoch: [115][400/631] Time 1.592s (1.559s) Speed 20.1 samples/s Data 0.000s (0.009s) Loss 0.000574 (0.000627) Accuracy 0.879 (0.878) loss_pose: 0.000174 loss_cons: 0.000400 -2023-07-27 06:21:12,125 Epoch: [115][500/631] Time 1.515s (1.556s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000659 (0.000627) Accuracy 0.812 (0.877) loss_pose: 0.000262 loss_cons: 0.000397 -2023-07-27 06:23:44,843 Epoch: [115][600/631] Time 1.511s (1.551s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000630 (0.000626) Accuracy 0.859 (0.877) loss_pose: 0.000205 loss_cons: 0.000425 -2023-07-27 06:24:30,297 Epoch: [115][630/631] Time 1.516s (1.550s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000860 (0.000627) Accuracy 0.816 (0.877) loss_pose: 0.000262 loss_cons: 0.000598 -2023-07-27 06:24:36,998 Test: [0/199] Time 4.330 (4.330) Loss 0.0002 (0.0002) Accuracy 0.898 (0.898) -2023-07-27 06:24:57,730 Test: [100/199] Time 0.190 (0.252) Loss 0.0002 (0.0002) Accuracy 0.904 (0.869) -2023-07-27 06:25:16,366 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0002) Accuracy 0.925 (0.867) -2023-07-27 06:25:17,945 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 06:25:27,878 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:25:27,917 The Predictions of Net 1 -2023-07-27 06:25:27,918 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:25:27,919 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:25:27,919 | 256x192_pose_dual_101_d256d256d256 | 0.7279 | 0.9256 | 0.8044 | 0.7034 | 0.7688 | 0.7586 | 0.9309 | 0.8270 | 0.7263 | 0.8076 | -2023-07-27 06:25:28,611 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 06:25:35,444 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:25:35,479 The Predictions of Net 2 -2023-07-27 06:25:35,479 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:25:35,480 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:25:35,481 | 256x192_pose_dual_101_d256d256d256 | 0.7309 | 0.9256 | 0.8140 | 0.7055 | 0.7710 | 0.7613 | 0.9325 | 0.8312 | 0.7296 | 0.8088 | -2023-07-27 06:25:36,166 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 06:25:40,911 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:25:40,944 Ensemble Predictions -2023-07-27 06:25:40,945 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:25:40,946 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:25:40,946 | 256x192_pose_dual_101_d256d256d256 | 0.7382 | 0.9258 | 0.8157 | 0.7128 | 0.7794 | 0.7684 | 0.9339 | 0.8360 | 0.7364 | 0.8164 | -2023-07-27 06:25:40,946 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 06:25:50,010 Epoch: [116][0/631] Time 5.097s (5.097s) Speed 6.3 samples/s Data 3.382s (3.382s) Loss 0.000682 (0.000682) Accuracy 0.854 (0.854) loss_pose: 0.000249 loss_cons: 0.000434 -2023-07-27 06:28:26,507 Epoch: [116][100/631] Time 1.519s (1.600s) Speed 21.1 samples/s Data 0.000s (0.034s) Loss 0.000572 (0.000612) Accuracy 0.891 (0.878) loss_pose: 0.000215 loss_cons: 0.000357 -2023-07-27 06:31:01,354 Epoch: [116][200/631] Time 1.523s (1.574s) Speed 21.0 samples/s Data 0.000s (0.017s) Loss 0.000597 (0.000619) Accuracy 0.888 (0.876) loss_pose: 0.000204 loss_cons: 0.000393 -2023-07-27 06:33:36,320 Epoch: [116][300/631] Time 1.636s (1.566s) Speed 19.6 samples/s Data 0.000s (0.012s) Loss 0.000682 (0.000620) Accuracy 0.898 (0.878) loss_pose: 0.000215 loss_cons: 0.000467 -2023-07-27 06:36:11,953 Epoch: [116][400/631] Time 1.607s (1.564s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000608 (0.000623) Accuracy 0.861 (0.880) loss_pose: 0.000208 loss_cons: 0.000400 -2023-07-27 06:38:46,838 Epoch: [116][500/631] Time 1.594s (1.561s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000622 (0.000623) Accuracy 0.876 (0.879) loss_pose: 0.000264 loss_cons: 0.000358 -2023-07-27 06:41:21,775 Epoch: [116][600/631] Time 1.516s (1.559s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000709 (0.000625) Accuracy 0.860 (0.879) loss_pose: 0.000231 loss_cons: 0.000478 -2023-07-27 06:42:07,220 Epoch: [116][630/631] Time 1.510s (1.557s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000790 (0.000626) Accuracy 0.859 (0.878) loss_pose: 0.000255 loss_cons: 0.000535 -2023-07-27 06:42:14,572 Test: [0/199] Time 4.983 (4.983) Loss 0.0002 (0.0002) Accuracy 0.901 (0.901) -2023-07-27 06:42:34,472 Test: [100/199] Time 0.203 (0.249) Loss 0.0002 (0.0002) Accuracy 0.911 (0.868) -2023-07-27 06:42:53,004 Test: [198/199] Time 0.134 (0.220) Loss 0.0002 (0.0002) Accuracy 0.872 (0.865) -2023-07-27 06:42:54,659 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 06:43:04,260 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:43:04,303 The Predictions of Net 1 -2023-07-27 06:43:04,304 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:43:04,305 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:43:04,305 | 256x192_pose_dual_101_d256d256d256 | 0.7270 | 0.9255 | 0.8042 | 0.7002 | 0.7680 | 0.7567 | 0.9306 | 0.8262 | 0.7237 | 0.8064 | -2023-07-27 06:43:05,016 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 06:43:09,841 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:43:09,876 The Predictions of Net 2 -2023-07-27 06:43:09,877 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:43:09,877 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:43:09,877 | 256x192_pose_dual_101_d256d256d256 | 0.7269 | 0.9258 | 0.8043 | 0.7019 | 0.7679 | 0.7586 | 0.9339 | 0.8278 | 0.7267 | 0.8067 | -2023-07-27 06:43:10,578 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 06:43:17,582 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 06:43:17,627 Ensemble Predictions -2023-07-27 06:43:17,628 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 06:43:17,629 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 06:43:17,629 | 256x192_pose_dual_101_d256d256d256 | 0.7365 | 0.9260 | 0.8150 | 0.7132 | 0.7779 | 0.7677 | 0.9353 | 0.8363 | 0.7362 | 0.8149 | -2023-07-27 06:43:17,630 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 06:43:25,794 Epoch: [117][0/631] Time 5.218s (5.218s) Speed 6.1 samples/s Data 3.488s (3.488s) Loss 0.000717 (0.000717) Accuracy 0.895 (0.895) loss_pose: 0.000229 loss_cons: 0.000489 -2023-07-27 06:46:00,712 Epoch: [117][100/631] Time 1.517s (1.586s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000611 (0.000621) Accuracy 0.868 (0.880) loss_pose: 0.000210 loss_cons: 0.000401 -2023-07-27 06:48:35,559 Epoch: [117][200/631] Time 1.513s (1.567s) Speed 21.2 samples/s Data 0.000s (0.018s) Loss 0.000619 (0.000625) Accuracy 0.847 (0.877) loss_pose: 0.000233 loss_cons: 0.000386 -2023-07-27 06:51:08,496 Epoch: [117][300/631] Time 1.520s (1.555s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000647 (0.000626) Accuracy 0.860 (0.877) loss_pose: 0.000230 loss_cons: 0.000416 -2023-07-27 06:53:43,166 Epoch: [117][400/631] Time 1.534s (1.553s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000684 (0.000626) Accuracy 0.860 (0.878) loss_pose: 0.000245 loss_cons: 0.000439 -2023-07-27 06:56:18,193 Epoch: [117][500/631] Time 1.611s (1.552s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000545 (0.000623) Accuracy 0.887 (0.878) loss_pose: 0.000216 loss_cons: 0.000329 -2023-07-27 06:58:51,931 Epoch: [117][600/631] Time 1.518s (1.550s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000640 (0.000627) Accuracy 0.911 (0.878) loss_pose: 0.000192 loss_cons: 0.000449 -2023-07-27 06:59:39,084 Epoch: [117][630/631] Time 1.596s (1.551s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000545 (0.000628) Accuracy 0.877 (0.877) loss_pose: 0.000223 loss_cons: 0.000322 -2023-07-27 06:59:47,082 Test: [0/199] Time 6.062 (6.062) Loss 0.0002 (0.0002) Accuracy 0.898 (0.898) -2023-07-27 07:00:06,950 Test: [100/199] Time 0.205 (0.257) Loss 0.0002 (0.0002) Accuracy 0.895 (0.867) -2023-07-27 07:00:25,905 Test: [198/199] Time 0.395 (0.225) Loss 0.0002 (0.0002) Accuracy 0.941 (0.865) -2023-07-27 07:00:27,380 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 07:00:36,791 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:00:36,839 The Predictions of Net 1 -2023-07-27 07:00:36,839 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:00:36,841 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:00:36,841 | 256x192_pose_dual_101_d256d256d256 | 0.7274 | 0.9249 | 0.8044 | 0.7054 | 0.7614 | 0.7575 | 0.9304 | 0.8253 | 0.7272 | 0.8035 | -2023-07-27 07:00:37,556 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 07:00:42,462 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:00:42,503 The Predictions of Net 2 -2023-07-27 07:00:42,504 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:00:42,504 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:00:42,504 | 256x192_pose_dual_101_d256d256d256 | 0.7286 | 0.9255 | 0.8044 | 0.7040 | 0.7673 | 0.7597 | 0.9336 | 0.8279 | 0.7274 | 0.8078 | -2023-07-27 07:00:43,191 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 07:00:47,993 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:00:48,032 Ensemble Predictions -2023-07-27 07:00:48,033 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:00:48,034 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:00:48,034 | 256x192_pose_dual_101_d256d256d256 | 0.7371 | 0.9257 | 0.8161 | 0.7146 | 0.7771 | 0.7682 | 0.9358 | 0.8374 | 0.7371 | 0.8150 | -2023-07-27 07:00:48,035 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 07:00:55,954 Epoch: [118][0/631] Time 4.944s (4.944s) Speed 6.5 samples/s Data 3.182s (3.182s) Loss 0.000597 (0.000597) Accuracy 0.918 (0.918) loss_pose: 0.000220 loss_cons: 0.000377 -2023-07-27 07:03:29,717 Epoch: [118][100/631] Time 1.519s (1.571s) Speed 21.1 samples/s Data 0.000s (0.032s) Loss 0.000624 (0.000622) Accuracy 0.889 (0.878) loss_pose: 0.000230 loss_cons: 0.000394 -2023-07-27 07:06:03,861 Epoch: [118][200/631] Time 1.528s (1.556s) Speed 20.9 samples/s Data 0.001s (0.016s) Loss 0.000620 (0.000624) Accuracy 0.881 (0.875) loss_pose: 0.000228 loss_cons: 0.000392 -2023-07-27 07:08:37,707 Epoch: [118][300/631] Time 1.681s (1.550s) Speed 19.0 samples/s Data 0.000s (0.011s) Loss 0.000727 (0.000627) Accuracy 0.881 (0.876) loss_pose: 0.000216 loss_cons: 0.000511 -2023-07-27 07:11:12,569 Epoch: [118][400/631] Time 1.520s (1.550s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000575 (0.000625) Accuracy 0.934 (0.877) loss_pose: 0.000164 loss_cons: 0.000411 -2023-07-27 07:13:47,215 Epoch: [118][500/631] Time 1.515s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000574 (0.000623) Accuracy 0.909 (0.877) loss_pose: 0.000229 loss_cons: 0.000345 -2023-07-27 07:16:20,253 Epoch: [118][600/631] Time 1.513s (1.546s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000630 (0.000623) Accuracy 0.850 (0.876) loss_pose: 0.000247 loss_cons: 0.000383 -2023-07-27 07:17:05,583 Epoch: [118][630/631] Time 1.506s (1.544s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000565 (0.000623) Accuracy 0.894 (0.877) loss_pose: 0.000222 loss_cons: 0.000343 -2023-07-27 07:17:12,085 Test: [0/199] Time 4.190 (4.190) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-27 07:17:33,559 Test: [100/199] Time 0.206 (0.258) Loss 0.0002 (0.0002) Accuracy 0.895 (0.870) -2023-07-27 07:17:52,486 Test: [198/199] Time 0.301 (0.226) Loss 0.0002 (0.0002) Accuracy 0.933 (0.869) -2023-07-27 07:17:58,389 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 07:18:06,162 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:18:06,204 The Predictions of Net 1 -2023-07-27 07:18:06,205 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:18:06,205 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:18:06,205 | 256x192_pose_dual_101_d256d256d256 | 0.7284 | 0.9256 | 0.8137 | 0.7049 | 0.7640 | 0.7600 | 0.9332 | 0.8317 | 0.7306 | 0.8047 | -2023-07-27 07:18:06,899 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 07:18:11,736 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:18:11,778 The Predictions of Net 2 -2023-07-27 07:18:11,779 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:18:11,779 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:18:11,779 | 256x192_pose_dual_101_d256d256d256 | 0.7302 | 0.9258 | 0.8144 | 0.7053 | 0.7694 | 0.7605 | 0.9353 | 0.8317 | 0.7287 | 0.8083 | -2023-07-27 07:18:12,473 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 07:18:17,227 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:18:17,262 Ensemble Predictions -2023-07-27 07:18:17,263 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:18:17,263 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:18:17,263 | 256x192_pose_dual_101_d256d256d256 | 0.7367 | 0.9264 | 0.8156 | 0.7161 | 0.7778 | 0.7683 | 0.9377 | 0.8394 | 0.7375 | 0.8150 | -2023-07-27 07:18:17,264 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 07:18:25,347 Epoch: [119][0/631] Time 5.165s (5.165s) Speed 6.2 samples/s Data 3.471s (3.471s) Loss 0.000560 (0.000560) Accuracy 0.904 (0.904) loss_pose: 0.000195 loss_cons: 0.000366 -2023-07-27 07:20:59,411 Epoch: [119][100/631] Time 1.587s (1.577s) Speed 20.2 samples/s Data 0.000s (0.035s) Loss 0.000536 (0.000621) Accuracy 0.878 (0.874) loss_pose: 0.000202 loss_cons: 0.000334 -2023-07-27 07:23:35,031 Epoch: [119][200/631] Time 1.524s (1.566s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000722 (0.000624) Accuracy 0.787 (0.875) loss_pose: 0.000270 loss_cons: 0.000452 -2023-07-27 07:26:10,301 Epoch: [119][300/631] Time 1.594s (1.562s) Speed 20.1 samples/s Data 0.000s (0.012s) Loss 0.000580 (0.000623) Accuracy 0.919 (0.877) loss_pose: 0.000178 loss_cons: 0.000402 -2023-07-27 07:28:44,658 Epoch: [119][400/631] Time 1.524s (1.557s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000717 (0.000625) Accuracy 0.875 (0.878) loss_pose: 0.000204 loss_cons: 0.000513 -2023-07-27 07:31:18,672 Epoch: [119][500/631] Time 1.519s (1.554s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000603 (0.000625) Accuracy 0.895 (0.878) loss_pose: 0.000191 loss_cons: 0.000412 -2023-07-27 07:33:51,905 Epoch: [119][600/631] Time 1.519s (1.550s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000610 (0.000625) Accuracy 0.924 (0.878) loss_pose: 0.000187 loss_cons: 0.000423 -2023-07-27 07:34:37,991 Epoch: [119][630/631] Time 1.591s (1.550s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000604 (0.000625) Accuracy 0.871 (0.878) loss_pose: 0.000252 loss_cons: 0.000352 -2023-07-27 07:34:45,841 Test: [0/199] Time 5.808 (5.808) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-27 07:35:05,561 Test: [100/199] Time 0.199 (0.253) Loss 0.0002 (0.0002) Accuracy 0.889 (0.869) -2023-07-27 07:35:24,243 Test: [198/199] Time 0.137 (0.222) Loss 0.0002 (0.0002) Accuracy 0.927 (0.866) -2023-07-27 07:35:25,930 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 07:35:34,252 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:35:34,335 The Predictions of Net 1 -2023-07-27 07:35:34,349 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:35:34,350 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:35:34,351 | 256x192_pose_dual_101_d256d256d256 | 0.7275 | 0.9255 | 0.8128 | 0.7062 | 0.7644 | 0.7592 | 0.9331 | 0.8306 | 0.7285 | 0.8054 | -2023-07-27 07:35:37,788 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 07:35:42,522 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:35:42,556 The Predictions of Net 2 -2023-07-27 07:35:42,557 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:35:42,557 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:35:42,558 | 256x192_pose_dual_101_d256d256d256 | 0.7283 | 0.9257 | 0.8051 | 0.7053 | 0.7678 | 0.7601 | 0.9340 | 0.8293 | 0.7291 | 0.8066 | -2023-07-27 07:35:43,240 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 07:35:48,007 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:35:48,042 Ensemble Predictions -2023-07-27 07:35:48,042 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:35:48,043 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:35:48,044 | 256x192_pose_dual_101_d256d256d256 | 0.7389 | 0.9263 | 0.8241 | 0.7166 | 0.7774 | 0.7693 | 0.9364 | 0.8402 | 0.7387 | 0.8157 | -2023-07-27 07:35:48,045 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 07:35:56,470 Epoch: [120][0/631] Time 5.424s (5.424s) Speed 5.9 samples/s Data 3.715s (3.715s) Loss 0.000680 (0.000680) Accuracy 0.806 (0.806) loss_pose: 0.000243 loss_cons: 0.000437 -2023-07-27 07:38:31,072 Epoch: [120][100/631] Time 1.574s (1.584s) Speed 20.3 samples/s Data 0.000s (0.037s) Loss 0.000503 (0.000619) Accuracy 0.902 (0.874) loss_pose: 0.000182 loss_cons: 0.000320 -2023-07-27 07:41:05,614 Epoch: [120][200/631] Time 1.526s (1.565s) Speed 21.0 samples/s Data 0.000s (0.019s) Loss 0.000697 (0.000621) Accuracy 0.862 (0.876) loss_pose: 0.000227 loss_cons: 0.000470 -2023-07-27 07:43:39,867 Epoch: [120][300/631] Time 1.525s (1.558s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000756 (0.000618) Accuracy 0.880 (0.878) loss_pose: 0.000207 loss_cons: 0.000549 -2023-07-27 07:46:14,956 Epoch: [120][400/631] Time 1.525s (1.556s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000631 (0.000620) Accuracy 0.861 (0.878) loss_pose: 0.000213 loss_cons: 0.000418 -2023-07-27 07:48:48,102 Epoch: [120][500/631] Time 1.532s (1.551s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000594 (0.000619) Accuracy 0.888 (0.878) loss_pose: 0.000199 loss_cons: 0.000395 -2023-07-27 07:51:23,120 Epoch: [120][600/631] Time 1.611s (1.551s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000619 (0.000620) Accuracy 0.909 (0.879) loss_pose: 0.000213 loss_cons: 0.000405 -2023-07-27 07:52:11,156 Epoch: [120][630/631] Time 1.595s (1.553s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000520 (0.000620) Accuracy 0.871 (0.879) loss_pose: 0.000193 loss_cons: 0.000328 -2023-07-27 07:52:17,990 Test: [0/199] Time 4.506 (4.506) Loss 0.0002 (0.0002) Accuracy 0.902 (0.902) -2023-07-27 07:52:39,090 Test: [100/199] Time 0.204 (0.256) Loss 0.0002 (0.0002) Accuracy 0.906 (0.867) -2023-07-27 07:52:57,958 Test: [198/199] Time 0.162 (0.225) Loss 0.0002 (0.0002) Accuracy 0.953 (0.866) -2023-07-27 07:52:59,878 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 07:53:09,139 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:53:09,188 The Predictions of Net 1 -2023-07-27 07:53:09,189 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:53:09,190 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:53:09,190 | 256x192_pose_dual_101_d256d256d256 | 0.7264 | 0.9251 | 0.8045 | 0.7039 | 0.7634 | 0.7588 | 0.9318 | 0.8270 | 0.7282 | 0.8048 | -2023-07-27 07:53:09,890 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 07:53:14,741 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:53:14,784 The Predictions of Net 2 -2023-07-27 07:53:14,785 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:53:14,785 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:53:14,786 | 256x192_pose_dual_101_d256d256d256 | 0.7303 | 0.9259 | 0.8142 | 0.7055 | 0.7718 | 0.7614 | 0.9350 | 0.8315 | 0.7294 | 0.8095 | -2023-07-27 07:53:15,474 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 07:53:22,378 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 07:53:22,413 Ensemble Predictions -2023-07-27 07:53:22,414 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 07:53:22,415 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 07:53:22,415 | 256x192_pose_dual_101_d256d256d256 | 0.7386 | 0.9261 | 0.8154 | 0.7156 | 0.7778 | 0.7701 | 0.9388 | 0.8380 | 0.7392 | 0.8165 | -2023-07-27 07:53:22,416 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 07:53:30,859 Epoch: [121][0/631] Time 5.332s (5.332s) Speed 6.0 samples/s Data 3.605s (3.605s) Loss 0.000548 (0.000548) Accuracy 0.868 (0.868) loss_pose: 0.000216 loss_cons: 0.000332 -2023-07-27 07:56:06,148 Epoch: [121][100/631] Time 1.517s (1.590s) Speed 21.1 samples/s Data 0.000s (0.036s) Loss 0.000585 (0.000604) Accuracy 0.857 (0.879) loss_pose: 0.000235 loss_cons: 0.000351 -2023-07-27 07:58:40,443 Epoch: [121][200/631] Time 1.515s (1.567s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000563 (0.000618) Accuracy 0.894 (0.878) loss_pose: 0.000177 loss_cons: 0.000386 -2023-07-27 08:01:15,695 Epoch: [121][300/631] Time 1.582s (1.562s) Speed 20.2 samples/s Data 0.000s (0.012s) Loss 0.000608 (0.000621) Accuracy 0.873 (0.876) loss_pose: 0.000234 loss_cons: 0.000374 -2023-07-27 08:03:50,327 Epoch: [121][400/631] Time 1.525s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000587 (0.000623) Accuracy 0.838 (0.877) loss_pose: 0.000253 loss_cons: 0.000334 -2023-07-27 08:06:25,385 Epoch: [121][500/631] Time 1.513s (1.557s) Speed 21.1 samples/s Data 0.001s (0.008s) Loss 0.000702 (0.000622) Accuracy 0.851 (0.878) loss_pose: 0.000274 loss_cons: 0.000428 -2023-07-27 08:09:01,152 Epoch: [121][600/631] Time 1.595s (1.557s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000572 (0.000622) Accuracy 0.869 (0.879) loss_pose: 0.000212 loss_cons: 0.000359 -2023-07-27 08:09:48,218 Epoch: [121][630/631] Time 1.521s (1.557s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000614 (0.000622) Accuracy 0.852 (0.879) loss_pose: 0.000240 loss_cons: 0.000374 -2023-07-27 08:09:54,424 Test: [0/199] Time 4.185 (4.185) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-27 08:10:15,464 Test: [100/199] Time 0.198 (0.252) Loss 0.0002 (0.0002) Accuracy 0.889 (0.868) -2023-07-27 08:10:34,118 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.887 (0.867) -2023-07-27 08:10:35,599 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 08:10:45,554 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:10:45,648 The Predictions of Net 1 -2023-07-27 08:10:45,649 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:10:45,653 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:10:45,655 | 256x192_pose_dual_101_d256d256d256 | 0.7287 | 0.9256 | 0.8125 | 0.7036 | 0.7690 | 0.7603 | 0.9355 | 0.8312 | 0.7279 | 0.8097 | -2023-07-27 08:10:46,457 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 08:10:51,337 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:10:51,373 The Predictions of Net 2 -2023-07-27 08:10:51,374 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:10:51,374 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:10:51,375 | 256x192_pose_dual_101_d256d256d256 | 0.7315 | 0.9256 | 0.8141 | 0.7064 | 0.7713 | 0.7623 | 0.9334 | 0.8315 | 0.7302 | 0.8107 | -2023-07-27 08:10:52,066 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 08:10:56,830 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:10:56,865 Ensemble Predictions -2023-07-27 08:10:56,866 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:10:56,866 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:10:56,866 | 256x192_pose_dual_101_d256d256d256 | 0.7399 | 0.9264 | 0.8245 | 0.7157 | 0.7799 | 0.7704 | 0.9378 | 0.8410 | 0.7388 | 0.8184 | -2023-07-27 08:10:56,867 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 08:11:06,317 Epoch: [122][0/631] Time 5.429s (5.429s) Speed 5.9 samples/s Data 3.733s (3.733s) Loss 0.000608 (0.000608) Accuracy 0.894 (0.894) loss_pose: 0.000207 loss_cons: 0.000401 -2023-07-27 08:13:43,963 Epoch: [122][100/631] Time 1.525s (1.615s) Speed 21.0 samples/s Data 0.000s (0.037s) Loss 0.000582 (0.000625) Accuracy 0.886 (0.875) loss_pose: 0.000218 loss_cons: 0.000364 -2023-07-27 08:16:26,627 Epoch: [122][200/631] Time 1.516s (1.621s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000584 (0.000626) Accuracy 0.928 (0.875) loss_pose: 0.000205 loss_cons: 0.000379 -2023-07-27 08:19:07,892 Epoch: [122][300/631] Time 1.511s (1.618s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000694 (0.000622) Accuracy 0.869 (0.876) loss_pose: 0.000256 loss_cons: 0.000438 -2023-07-27 08:21:43,841 Epoch: [122][400/631] Time 1.515s (1.603s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000791 (0.000624) Accuracy 0.873 (0.875) loss_pose: 0.000221 loss_cons: 0.000570 -2023-07-27 08:24:17,453 Epoch: [122][500/631] Time 1.620s (1.590s) Speed 19.7 samples/s Data 0.000s (0.008s) Loss 0.000500 (0.000623) Accuracy 0.896 (0.876) loss_pose: 0.000179 loss_cons: 0.000321 -2023-07-27 08:26:50,912 Epoch: [122][600/631] Time 1.505s (1.581s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000646 (0.000622) Accuracy 0.886 (0.877) loss_pose: 0.000211 loss_cons: 0.000435 -2023-07-27 08:27:36,389 Epoch: [122][630/631] Time 1.510s (1.578s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000642 (0.000623) Accuracy 0.876 (0.877) loss_pose: 0.000212 loss_cons: 0.000429 -2023-07-27 08:27:43,312 Test: [0/199] Time 4.660 (4.660) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-27 08:28:04,002 Test: [100/199] Time 0.200 (0.254) Loss 0.0002 (0.0002) Accuracy 0.894 (0.868) -2023-07-27 08:28:22,499 Test: [198/199] Time 0.133 (0.222) Loss 0.0002 (0.0002) Accuracy 0.932 (0.868) -2023-07-27 08:28:24,113 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 08:28:33,276 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:28:33,315 The Predictions of Net 1 -2023-07-27 08:28:33,316 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:28:33,316 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:28:33,316 | 256x192_pose_dual_101_d256d256d256 | 0.7288 | 0.9252 | 0.8135 | 0.7042 | 0.7670 | 0.7599 | 0.9336 | 0.8306 | 0.7281 | 0.8077 | -2023-07-27 08:28:34,009 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 08:28:38,802 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:28:38,836 The Predictions of Net 2 -2023-07-27 08:28:38,836 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:28:38,837 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:28:38,837 | 256x192_pose_dual_101_d256d256d256 | 0.7255 | 0.9257 | 0.8049 | 0.7005 | 0.7678 | 0.7577 | 0.9331 | 0.8293 | 0.7247 | 0.8077 | -2023-07-27 08:28:39,520 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 08:28:44,294 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:28:44,329 Ensemble Predictions -2023-07-27 08:28:44,329 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:28:44,330 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:28:44,330 | 256x192_pose_dual_101_d256d256d256 | 0.7372 | 0.9258 | 0.8242 | 0.7121 | 0.7784 | 0.7685 | 0.9356 | 0.8401 | 0.7360 | 0.8174 | -2023-07-27 08:28:44,331 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 08:28:53,470 Epoch: [123][0/631] Time 6.173s (6.173s) Speed 5.2 samples/s Data 4.512s (4.512s) Loss 0.000620 (0.000620) Accuracy 0.894 (0.894) loss_pose: 0.000222 loss_cons: 0.000398 -2023-07-27 08:31:28,868 Epoch: [123][100/631] Time 1.573s (1.600s) Speed 20.3 samples/s Data 0.001s (0.045s) Loss 0.000617 (0.000618) Accuracy 0.916 (0.882) loss_pose: 0.000213 loss_cons: 0.000405 -2023-07-27 08:34:02,663 Epoch: [123][200/631] Time 1.519s (1.569s) Speed 21.1 samples/s Data 0.001s (0.023s) Loss 0.000689 (0.000621) Accuracy 0.848 (0.881) loss_pose: 0.000234 loss_cons: 0.000455 -2023-07-27 08:36:36,385 Epoch: [123][300/631] Time 1.616s (1.558s) Speed 19.8 samples/s Data 0.000s (0.015s) Loss 0.000732 (0.000621) Accuracy 0.882 (0.879) loss_pose: 0.000252 loss_cons: 0.000480 -2023-07-27 08:39:11,245 Epoch: [123][400/631] Time 1.514s (1.556s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000636 (0.000619) Accuracy 0.828 (0.879) loss_pose: 0.000238 loss_cons: 0.000399 -2023-07-27 08:41:44,953 Epoch: [123][500/631] Time 1.518s (1.552s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000650 (0.000619) Accuracy 0.869 (0.880) loss_pose: 0.000217 loss_cons: 0.000434 -2023-07-27 08:44:19,755 Epoch: [123][600/631] Time 1.518s (1.552s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000585 (0.000619) Accuracy 0.903 (0.880) loss_pose: 0.000182 loss_cons: 0.000403 -2023-07-27 08:45:05,113 Epoch: [123][630/631] Time 1.514s (1.550s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000553 (0.000619) Accuracy 0.890 (0.880) loss_pose: 0.000202 loss_cons: 0.000351 -2023-07-27 08:45:13,184 Test: [0/199] Time 5.969 (5.969) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-27 08:45:33,020 Test: [100/199] Time 0.197 (0.256) Loss 0.0002 (0.0002) Accuracy 0.916 (0.870) -2023-07-27 08:45:51,628 Test: [198/199] Time 0.138 (0.224) Loss 0.0002 (0.0002) Accuracy 0.894 (0.868) -2023-07-27 08:45:53,303 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 08:46:04,602 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:46:04,645 The Predictions of Net 1 -2023-07-27 08:46:04,646 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:46:04,647 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:46:04,647 | 256x192_pose_dual_101_d256d256d256 | 0.7300 | 0.9256 | 0.8144 | 0.7068 | 0.7678 | 0.7619 | 0.9340 | 0.8334 | 0.7312 | 0.8084 | -2023-07-27 08:46:05,333 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 08:46:10,132 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:46:10,166 The Predictions of Net 2 -2023-07-27 08:46:10,167 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:46:10,167 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:46:10,167 | 256x192_pose_dual_101_d256d256d256 | 0.7291 | 0.9257 | 0.8140 | 0.7047 | 0.7697 | 0.7613 | 0.9326 | 0.8336 | 0.7298 | 0.8089 | -2023-07-27 08:46:10,853 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 08:46:15,657 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 08:46:15,693 Ensemble Predictions -2023-07-27 08:46:15,694 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 08:46:15,694 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 08:46:15,694 | 256x192_pose_dual_101_d256d256d256 | 0.7391 | 0.9261 | 0.8257 | 0.7161 | 0.7803 | 0.7712 | 0.9388 | 0.8423 | 0.7398 | 0.8187 | -2023-07-27 08:46:15,695 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 08:46:23,673 Epoch: [124][0/631] Time 5.003s (5.003s) Speed 6.4 samples/s Data 3.238s (3.238s) Loss 0.000659 (0.000659) Accuracy 0.847 (0.847) loss_pose: 0.000278 loss_cons: 0.000381 -2023-07-27 08:49:00,546 Epoch: [124][100/631] Time 1.625s (1.603s) Speed 19.7 samples/s Data 0.000s (0.032s) Loss 0.000681 (0.000619) Accuracy 0.869 (0.882) loss_pose: 0.000248 loss_cons: 0.000433 -2023-07-27 08:51:35,269 Epoch: [124][200/631] Time 1.549s (1.575s) Speed 20.7 samples/s Data 0.000s (0.016s) Loss 0.000654 (0.000623) Accuracy 0.824 (0.879) loss_pose: 0.000223 loss_cons: 0.000431 -2023-07-27 08:54:09,877 Epoch: [124][300/631] Time 1.517s (1.565s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000671 (0.000621) Accuracy 0.837 (0.879) loss_pose: 0.000246 loss_cons: 0.000424 -2023-07-27 08:56:44,908 Epoch: [124][400/631] Time 1.612s (1.562s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000579 (0.000620) Accuracy 0.924 (0.879) loss_pose: 0.000184 loss_cons: 0.000395 -2023-07-27 08:59:20,006 Epoch: [124][500/631] Time 1.529s (1.560s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000644 (0.000619) Accuracy 0.859 (0.879) loss_pose: 0.000241 loss_cons: 0.000402 -2023-07-27 09:01:54,339 Epoch: [124][600/631] Time 1.507s (1.557s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000682 (0.000619) Accuracy 0.858 (0.880) loss_pose: 0.000232 loss_cons: 0.000450 -2023-07-27 09:02:40,050 Epoch: [124][630/631] Time 1.604s (1.555s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000525 (0.000618) Accuracy 0.902 (0.880) loss_pose: 0.000198 loss_cons: 0.000327 -2023-07-27 09:02:47,811 Test: [0/199] Time 5.692 (5.692) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-27 09:03:07,698 Test: [100/199] Time 0.201 (0.254) Loss 0.0002 (0.0002) Accuracy 0.905 (0.871) -2023-07-27 09:03:26,533 Test: [198/199] Time 0.288 (0.223) Loss 0.0002 (0.0002) Accuracy 0.907 (0.868) -2023-07-27 09:03:28,086 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 09:03:38,005 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:03:38,041 The Predictions of Net 1 -2023-07-27 09:03:38,042 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:03:38,043 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:03:38,043 | 256x192_pose_dual_101_d256d256d256 | 0.7306 | 0.9253 | 0.8125 | 0.7060 | 0.7681 | 0.7618 | 0.9344 | 0.8309 | 0.7299 | 0.8098 | -2023-07-27 09:03:38,738 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 09:03:45,597 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:03:45,634 The Predictions of Net 2 -2023-07-27 09:03:45,635 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:03:45,635 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:03:45,636 | 256x192_pose_dual_101_d256d256d256 | 0.7323 | 0.9253 | 0.8145 | 0.7069 | 0.7723 | 0.7631 | 0.9334 | 0.8344 | 0.7312 | 0.8110 | -2023-07-27 09:03:46,323 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 09:03:51,090 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:03:51,124 Ensemble Predictions -2023-07-27 09:03:51,125 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:03:51,125 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:03:51,125 | 256x192_pose_dual_101_d256d256d256 | 0.7423 | 0.9259 | 0.8248 | 0.7173 | 0.7830 | 0.7729 | 0.9389 | 0.8434 | 0.7412 | 0.8205 | -2023-07-27 09:03:51,126 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 09:04:00,343 Epoch: [125][0/631] Time 5.175s (5.175s) Speed 6.2 samples/s Data 3.490s (3.490s) Loss 0.000544 (0.000544) Accuracy 0.904 (0.904) loss_pose: 0.000192 loss_cons: 0.000351 -2023-07-27 09:06:35,835 Epoch: [125][100/631] Time 1.524s (1.591s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000578 (0.000606) Accuracy 0.865 (0.880) loss_pose: 0.000235 loss_cons: 0.000343 -2023-07-27 09:09:11,772 Epoch: [125][200/631] Time 1.515s (1.575s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000622 (0.000606) Accuracy 0.911 (0.880) loss_pose: 0.000196 loss_cons: 0.000426 -2023-07-27 09:11:46,935 Epoch: [125][300/631] Time 1.514s (1.567s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000774 (0.000609) Accuracy 0.877 (0.880) loss_pose: 0.000193 loss_cons: 0.000581 -2023-07-27 09:14:22,242 Epoch: [125][400/631] Time 1.664s (1.564s) Speed 19.2 samples/s Data 0.001s (0.009s) Loss 0.000582 (0.000609) Accuracy 0.880 (0.880) loss_pose: 0.000190 loss_cons: 0.000392 -2023-07-27 09:16:56,453 Epoch: [125][500/631] Time 1.516s (1.559s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000660 (0.000611) Accuracy 0.833 (0.880) loss_pose: 0.000232 loss_cons: 0.000428 -2023-07-27 09:19:31,122 Epoch: [125][600/631] Time 1.514s (1.557s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000599 (0.000611) Accuracy 0.829 (0.879) loss_pose: 0.000228 loss_cons: 0.000371 -2023-07-27 09:20:16,494 Epoch: [125][630/631] Time 1.519s (1.555s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000559 (0.000611) Accuracy 0.893 (0.879) loss_pose: 0.000224 loss_cons: 0.000336 -2023-07-27 09:20:24,401 Test: [0/199] Time 5.810 (5.810) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-27 09:20:44,897 Test: [100/199] Time 0.205 (0.261) Loss 0.0002 (0.0002) Accuracy 0.901 (0.871) -2023-07-27 09:21:03,644 Test: [198/199] Time 0.193 (0.227) Loss 0.0002 (0.0002) Accuracy 0.915 (0.870) -2023-07-27 09:21:04,722 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 09:21:14,001 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:21:14,043 The Predictions of Net 1 -2023-07-27 09:21:14,044 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:21:14,045 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:21:14,045 | 256x192_pose_dual_101_d256d256d256 | 0.7312 | 0.9261 | 0.8142 | 0.7068 | 0.7699 | 0.7614 | 0.9361 | 0.8304 | 0.7305 | 0.8083 | -2023-07-27 09:21:14,740 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 09:21:19,501 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:21:19,535 The Predictions of Net 2 -2023-07-27 09:21:19,535 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:21:19,536 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:21:19,537 | 256x192_pose_dual_101_d256d256d256 | 0.7296 | 0.9255 | 0.8148 | 0.7077 | 0.7676 | 0.7622 | 0.9348 | 0.8349 | 0.7319 | 0.8079 | -2023-07-27 09:21:20,228 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 09:21:27,188 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:21:27,224 Ensemble Predictions -2023-07-27 09:21:27,224 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:21:27,225 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:21:27,226 | 256x192_pose_dual_101_d256d256d256 | 0.7411 | 0.9260 | 0.8258 | 0.7192 | 0.7799 | 0.7724 | 0.9389 | 0.8443 | 0.7428 | 0.8176 | -2023-07-27 09:21:27,227 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 09:21:35,674 Epoch: [126][0/631] Time 5.520s (5.520s) Speed 5.8 samples/s Data 3.775s (3.775s) Loss 0.000598 (0.000598) Accuracy 0.903 (0.903) loss_pose: 0.000211 loss_cons: 0.000387 -2023-07-27 09:24:10,626 Epoch: [126][100/631] Time 1.613s (1.589s) Speed 19.8 samples/s Data 0.000s (0.038s) Loss 0.000530 (0.000605) Accuracy 0.894 (0.880) loss_pose: 0.000193 loss_cons: 0.000337 -2023-07-27 09:26:45,689 Epoch: [126][200/631] Time 1.603s (1.570s) Speed 20.0 samples/s Data 0.000s (0.019s) Loss 0.000665 (0.000612) Accuracy 0.906 (0.880) loss_pose: 0.000202 loss_cons: 0.000464 -2023-07-27 09:29:20,568 Epoch: [126][300/631] Time 1.649s (1.563s) Speed 19.4 samples/s Data 0.000s (0.013s) Loss 0.000569 (0.000615) Accuracy 0.912 (0.880) loss_pose: 0.000190 loss_cons: 0.000379 -2023-07-27 09:31:54,322 Epoch: [126][400/631] Time 1.537s (1.557s) Speed 20.8 samples/s Data 0.000s (0.010s) Loss 0.000615 (0.000615) Accuracy 0.820 (0.879) loss_pose: 0.000271 loss_cons: 0.000344 -2023-07-27 09:34:28,183 Epoch: [126][500/631] Time 1.551s (1.553s) Speed 20.6 samples/s Data 0.000s (0.008s) Loss 0.000616 (0.000616) Accuracy 0.856 (0.880) loss_pose: 0.000209 loss_cons: 0.000407 -2023-07-27 09:37:02,509 Epoch: [126][600/631] Time 1.541s (1.551s) Speed 20.8 samples/s Data 0.000s (0.007s) Loss 0.000593 (0.000617) Accuracy 0.864 (0.879) loss_pose: 0.000237 loss_cons: 0.000356 -2023-07-27 09:37:48,656 Epoch: [126][630/631] Time 1.589s (1.551s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000617 (0.000618) Accuracy 0.849 (0.879) loss_pose: 0.000231 loss_cons: 0.000386 -2023-07-27 09:37:56,342 Test: [0/199] Time 5.621 (5.621) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-27 09:38:16,990 Test: [100/199] Time 0.203 (0.260) Loss 0.0002 (0.0002) Accuracy 0.903 (0.869) -2023-07-27 09:38:36,094 Test: [198/199] Time 0.137 (0.228) Loss 0.0002 (0.0002) Accuracy 0.939 (0.868) -2023-07-27 09:38:37,086 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 09:38:46,869 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:38:46,903 The Predictions of Net 1 -2023-07-27 09:38:46,904 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:38:46,905 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:38:46,905 | 256x192_pose_dual_101_d256d256d256 | 0.7269 | 0.9251 | 0.8040 | 0.7025 | 0.7672 | 0.7592 | 0.9328 | 0.8292 | 0.7269 | 0.8076 | -2023-07-27 09:38:47,602 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 09:38:52,401 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:38:52,438 The Predictions of Net 2 -2023-07-27 09:38:52,439 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:38:52,440 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:38:52,440 | 256x192_pose_dual_101_d256d256d256 | 0.7308 | 0.9256 | 0.8047 | 0.7055 | 0.7732 | 0.7624 | 0.9369 | 0.8297 | 0.7290 | 0.8122 | -2023-07-27 09:38:53,125 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 09:38:57,906 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:38:57,943 Ensemble Predictions -2023-07-27 09:38:57,944 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:38:57,944 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:38:57,944 | 256x192_pose_dual_101_d256d256d256 | 0.7388 | 0.9261 | 0.8153 | 0.7160 | 0.7812 | 0.7709 | 0.9392 | 0.8383 | 0.7383 | 0.8196 | -2023-07-27 09:38:57,945 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 09:39:06,728 Epoch: [127][0/631] Time 5.889s (5.889s) Speed 5.4 samples/s Data 4.179s (4.179s) Loss 0.000583 (0.000583) Accuracy 0.889 (0.889) loss_pose: 0.000219 loss_cons: 0.000364 -2023-07-27 09:41:42,668 Epoch: [127][100/631] Time 1.513s (1.602s) Speed 21.2 samples/s Data 0.000s (0.042s) Loss 0.000644 (0.000608) Accuracy 0.873 (0.882) loss_pose: 0.000229 loss_cons: 0.000415 -2023-07-27 09:44:18,469 Epoch: [127][200/631] Time 1.520s (1.580s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000664 (0.000615) Accuracy 0.893 (0.882) loss_pose: 0.000224 loss_cons: 0.000440 -2023-07-27 09:46:52,777 Epoch: [127][300/631] Time 1.515s (1.568s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000652 (0.000615) Accuracy 0.832 (0.882) loss_pose: 0.000212 loss_cons: 0.000440 -2023-07-27 09:49:27,451 Epoch: [127][400/631] Time 1.517s (1.563s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000591 (0.000616) Accuracy 0.892 (0.882) loss_pose: 0.000213 loss_cons: 0.000378 -2023-07-27 09:52:01,365 Epoch: [127][500/631] Time 1.520s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000589 (0.000618) Accuracy 0.902 (0.881) loss_pose: 0.000210 loss_cons: 0.000379 -2023-07-27 09:54:35,143 Epoch: [127][600/631] Time 1.581s (1.555s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000572 (0.000618) Accuracy 0.911 (0.881) loss_pose: 0.000183 loss_cons: 0.000389 -2023-07-27 09:55:22,715 Epoch: [127][630/631] Time 1.517s (1.556s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000642 (0.000618) Accuracy 0.847 (0.881) loss_pose: 0.000254 loss_cons: 0.000388 -2023-07-27 09:55:30,211 Test: [0/199] Time 5.418 (5.418) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-27 09:55:50,289 Test: [100/199] Time 0.203 (0.253) Loss 0.0002 (0.0002) Accuracy 0.904 (0.868) -2023-07-27 09:56:09,039 Test: [198/199] Time 0.133 (0.223) Loss 0.0002 (0.0002) Accuracy 0.927 (0.867) -2023-07-27 09:56:10,456 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 09:56:21,969 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:56:22,010 The Predictions of Net 1 -2023-07-27 09:56:22,011 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:56:22,011 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:56:22,011 | 256x192_pose_dual_101_d256d256d256 | 0.7284 | 0.9257 | 0.8046 | 0.7049 | 0.7668 | 0.7604 | 0.9345 | 0.8290 | 0.7292 | 0.8076 | -2023-07-27 09:56:22,701 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 09:56:27,460 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:56:27,493 The Predictions of Net 2 -2023-07-27 09:56:27,494 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:56:27,495 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:56:27,495 | 256x192_pose_dual_101_d256d256d256 | 0.7302 | 0.9255 | 0.8136 | 0.7039 | 0.7726 | 0.7628 | 0.9356 | 0.8323 | 0.7298 | 0.8123 | -2023-07-27 09:56:28,185 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 09:56:32,945 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 09:56:32,983 Ensemble Predictions -2023-07-27 09:56:32,983 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 09:56:32,984 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 09:56:32,984 | 256x192_pose_dual_101_d256d256d256 | 0.7400 | 0.9260 | 0.8246 | 0.7146 | 0.7808 | 0.7709 | 0.9375 | 0.8402 | 0.7384 | 0.8196 | -2023-07-27 09:56:32,985 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 09:56:42,260 Epoch: [128][0/631] Time 6.132s (6.132s) Speed 5.2 samples/s Data 4.460s (4.460s) Loss 0.000615 (0.000615) Accuracy 0.888 (0.888) loss_pose: 0.000206 loss_cons: 0.000409 -2023-07-27 09:59:17,699 Epoch: [128][100/631] Time 1.516s (1.600s) Speed 21.1 samples/s Data 0.000s (0.045s) Loss 0.000530 (0.000608) Accuracy 0.862 (0.882) loss_pose: 0.000216 loss_cons: 0.000314 -2023-07-27 10:01:52,642 Epoch: [128][200/631] Time 1.567s (1.575s) Speed 20.4 samples/s Data 0.000s (0.023s) Loss 0.000661 (0.000609) Accuracy 0.888 (0.881) loss_pose: 0.000246 loss_cons: 0.000414 -2023-07-27 10:04:28,984 Epoch: [128][300/631] Time 1.520s (1.571s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000661 (0.000612) Accuracy 0.919 (0.880) loss_pose: 0.000171 loss_cons: 0.000490 -2023-07-27 10:07:04,416 Epoch: [128][400/631] Time 1.521s (1.567s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000591 (0.000612) Accuracy 0.864 (0.880) loss_pose: 0.000201 loss_cons: 0.000390 -2023-07-27 10:09:39,410 Epoch: [128][500/631] Time 1.630s (1.563s) Speed 19.6 samples/s Data 0.000s (0.009s) Loss 0.000618 (0.000613) Accuracy 0.867 (0.881) loss_pose: 0.000230 loss_cons: 0.000388 -2023-07-27 10:12:14,373 Epoch: [128][600/631] Time 1.501s (1.561s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000610 (0.000615) Accuracy 0.924 (0.881) loss_pose: 0.000189 loss_cons: 0.000420 -2023-07-27 10:12:59,828 Epoch: [128][630/631] Time 1.514s (1.559s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000604 (0.000615) Accuracy 0.918 (0.882) loss_pose: 0.000217 loss_cons: 0.000387 -2023-07-27 10:13:07,073 Test: [0/199] Time 4.868 (4.868) Loss 0.0002 (0.0002) Accuracy 0.897 (0.897) -2023-07-27 10:13:27,201 Test: [100/199] Time 0.199 (0.249) Loss 0.0002 (0.0002) Accuracy 0.903 (0.869) -2023-07-27 10:13:45,952 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0002) Accuracy 0.901 (0.866) -2023-07-27 10:13:47,562 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 10:13:57,005 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:13:57,049 The Predictions of Net 1 -2023-07-27 10:13:57,050 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:13:57,050 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:13:57,051 | 256x192_pose_dual_101_d256d256d256 | 0.7279 | 0.9257 | 0.8128 | 0.7067 | 0.7656 | 0.7599 | 0.9381 | 0.8304 | 0.7286 | 0.8070 | -2023-07-27 10:13:57,748 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 10:14:04,610 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:14:04,644 The Predictions of Net 2 -2023-07-27 10:14:04,645 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:14:04,645 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:14:04,645 | 256x192_pose_dual_101_d256d256d256 | 0.7266 | 0.9259 | 0.8047 | 0.7031 | 0.7676 | 0.7588 | 0.9337 | 0.8281 | 0.7262 | 0.8078 | -2023-07-27 10:14:05,333 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 10:14:10,088 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:14:10,130 Ensemble Predictions -2023-07-27 10:14:10,130 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:14:10,130 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:14:10,131 | 256x192_pose_dual_101_d256d256d256 | 0.7368 | 0.9260 | 0.8241 | 0.7143 | 0.7763 | 0.7686 | 0.9378 | 0.8410 | 0.7366 | 0.8169 | -2023-07-27 10:14:10,132 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 10:14:18,851 Epoch: [129][0/631] Time 5.742s (5.742s) Speed 5.6 samples/s Data 4.073s (4.073s) Loss 0.000649 (0.000649) Accuracy 0.907 (0.907) loss_pose: 0.000212 loss_cons: 0.000437 -2023-07-27 10:16:52,991 Epoch: [129][100/631] Time 1.521s (1.583s) Speed 21.0 samples/s Data 0.000s (0.041s) Loss 0.000631 (0.000614) Accuracy 0.829 (0.883) loss_pose: 0.000250 loss_cons: 0.000381 -2023-07-27 10:19:27,310 Epoch: [129][200/631] Time 1.514s (1.563s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000560 (0.000610) Accuracy 0.904 (0.881) loss_pose: 0.000224 loss_cons: 0.000336 -2023-07-27 10:22:01,633 Epoch: [129][300/631] Time 1.609s (1.557s) Speed 19.9 samples/s Data 0.001s (0.014s) Loss 0.000655 (0.000609) Accuracy 0.817 (0.880) loss_pose: 0.000250 loss_cons: 0.000405 -2023-07-27 10:24:36,674 Epoch: [129][400/631] Time 1.559s (1.555s) Speed 20.5 samples/s Data 0.000s (0.011s) Loss 0.000600 (0.000612) Accuracy 0.883 (0.879) loss_pose: 0.000218 loss_cons: 0.000381 -2023-07-27 10:27:10,087 Epoch: [129][500/631] Time 1.517s (1.551s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000596 (0.000613) Accuracy 0.851 (0.879) loss_pose: 0.000217 loss_cons: 0.000379 -2023-07-27 10:29:43,121 Epoch: [129][600/631] Time 1.516s (1.547s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000637 (0.000615) Accuracy 0.920 (0.879) loss_pose: 0.000185 loss_cons: 0.000452 -2023-07-27 10:30:29,526 Epoch: [129][630/631] Time 1.520s (1.547s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000617 (0.000614) Accuracy 0.865 (0.879) loss_pose: 0.000211 loss_cons: 0.000406 -2023-07-27 10:30:37,761 Test: [0/199] Time 6.208 (6.208) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-27 10:30:57,372 Test: [100/199] Time 0.199 (0.256) Loss 0.0002 (0.0002) Accuracy 0.910 (0.868) -2023-07-27 10:31:16,073 Test: [198/199] Time 0.135 (0.224) Loss 0.0002 (0.0002) Accuracy 0.941 (0.867) -2023-07-27 10:31:18,171 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 10:31:27,482 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:31:27,525 The Predictions of Net 1 -2023-07-27 10:31:27,526 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:31:27,527 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:31:27,527 | 256x192_pose_dual_101_d256d256d256 | 0.7290 | 0.9257 | 0.8131 | 0.7046 | 0.7674 | 0.7611 | 0.9342 | 0.8331 | 0.7294 | 0.8093 | -2023-07-27 10:31:28,221 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 10:31:32,991 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:31:33,024 The Predictions of Net 2 -2023-07-27 10:31:33,025 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:31:33,025 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:31:33,025 | 256x192_pose_dual_101_d256d256d256 | 0.7286 | 0.9256 | 0.8129 | 0.7051 | 0.7688 | 0.7603 | 0.9331 | 0.8303 | 0.7284 | 0.8083 | -2023-07-27 10:31:33,717 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 10:31:40,471 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:31:40,505 Ensemble Predictions -2023-07-27 10:31:40,505 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:31:40,505 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:31:40,506 | 256x192_pose_dual_101_d256d256d256 | 0.7383 | 0.9262 | 0.8158 | 0.7171 | 0.7788 | 0.7701 | 0.9370 | 0.8391 | 0.7392 | 0.8170 | -2023-07-27 10:31:40,507 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 10:31:49,179 Epoch: [130][0/631] Time 5.644s (5.644s) Speed 5.7 samples/s Data 3.966s (3.966s) Loss 0.000542 (0.000542) Accuracy 0.908 (0.908) loss_pose: 0.000204 loss_cons: 0.000337 -2023-07-27 10:34:24,660 Epoch: [130][100/631] Time 1.633s (1.595s) Speed 19.6 samples/s Data 0.000s (0.040s) Loss 0.000554 (0.000614) Accuracy 0.902 (0.882) loss_pose: 0.000239 loss_cons: 0.000315 -2023-07-27 10:36:59,267 Epoch: [130][200/631] Time 1.605s (1.571s) Speed 19.9 samples/s Data 0.000s (0.020s) Loss 0.000620 (0.000611) Accuracy 0.826 (0.880) loss_pose: 0.000246 loss_cons: 0.000374 -2023-07-27 10:39:35,331 Epoch: [130][300/631] Time 1.519s (1.567s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000678 (0.000612) Accuracy 0.868 (0.879) loss_pose: 0.000212 loss_cons: 0.000466 -2023-07-27 10:42:09,578 Epoch: [130][400/631] Time 1.529s (1.561s) Speed 20.9 samples/s Data 0.001s (0.010s) Loss 0.000594 (0.000615) Accuracy 0.895 (0.880) loss_pose: 0.000212 loss_cons: 0.000382 -2023-07-27 10:44:44,813 Epoch: [130][500/631] Time 1.611s (1.559s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000517 (0.000614) Accuracy 0.866 (0.881) loss_pose: 0.000210 loss_cons: 0.000307 -2023-07-27 10:47:18,581 Epoch: [130][600/631] Time 1.504s (1.556s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000631 (0.000615) Accuracy 0.897 (0.881) loss_pose: 0.000188 loss_cons: 0.000443 -2023-07-27 10:48:05,730 Epoch: [130][630/631] Time 1.580s (1.557s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000631 (0.000616) Accuracy 0.849 (0.881) loss_pose: 0.000243 loss_cons: 0.000388 -2023-07-27 10:48:13,084 Test: [0/199] Time 5.122 (5.122) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-27 10:48:33,519 Test: [100/199] Time 0.199 (0.255) Loss 0.0002 (0.0002) Accuracy 0.910 (0.869) -2023-07-27 10:48:52,275 Test: [198/199] Time 0.136 (0.224) Loss 0.0002 (0.0002) Accuracy 0.933 (0.867) -2023-07-27 10:48:53,895 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 10:49:03,906 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:49:03,945 The Predictions of Net 1 -2023-07-27 10:49:03,946 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:49:03,946 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:49:03,946 | 256x192_pose_dual_101_d256d256d256 | 0.7263 | 0.9256 | 0.8031 | 0.7035 | 0.7660 | 0.7589 | 0.9337 | 0.8287 | 0.7275 | 0.8067 | -2023-07-27 10:49:04,653 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 10:49:09,477 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:49:09,515 The Predictions of Net 2 -2023-07-27 10:49:09,516 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:49:09,517 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:49:09,517 | 256x192_pose_dual_101_d256d256d256 | 0.7333 | 0.9254 | 0.8146 | 0.7086 | 0.7714 | 0.7637 | 0.9344 | 0.8372 | 0.7332 | 0.8097 | -2023-07-27 10:49:10,208 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 10:49:14,945 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 10:49:14,976 Ensemble Predictions -2023-07-27 10:49:14,977 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 10:49:14,978 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 10:49:14,978 | 256x192_pose_dual_101_d256d256d256 | 0.7389 | 0.9258 | 0.8249 | 0.7171 | 0.7799 | 0.7710 | 0.9375 | 0.8423 | 0.7408 | 0.8171 | -2023-07-27 10:49:14,979 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 10:49:23,512 Epoch: [131][0/631] Time 5.438s (5.438s) Speed 5.9 samples/s Data 3.723s (3.723s) Loss 0.000575 (0.000575) Accuracy 0.860 (0.860) loss_pose: 0.000241 loss_cons: 0.000334 -2023-07-27 10:52:00,486 Epoch: [131][100/631] Time 1.562s (1.608s) Speed 20.5 samples/s Data 0.000s (0.037s) Loss 0.000592 (0.000605) Accuracy 0.890 (0.880) loss_pose: 0.000252 loss_cons: 0.000340 -2023-07-27 10:54:43,193 Epoch: [131][200/631] Time 1.568s (1.618s) Speed 20.4 samples/s Data 0.000s (0.019s) Loss 0.000604 (0.000611) Accuracy 0.871 (0.881) loss_pose: 0.000229 loss_cons: 0.000375 -2023-07-27 10:57:25,183 Epoch: [131][300/631] Time 1.610s (1.618s) Speed 19.9 samples/s Data 0.000s (0.013s) Loss 0.000679 (0.000614) Accuracy 0.831 (0.880) loss_pose: 0.000214 loss_cons: 0.000465 -2023-07-27 11:00:00,480 Epoch: [131][400/631] Time 1.504s (1.602s) Speed 21.3 samples/s Data 0.000s (0.010s) Loss 0.000648 (0.000615) Accuracy 0.845 (0.881) loss_pose: 0.000229 loss_cons: 0.000419 -2023-07-27 11:02:36,463 Epoch: [131][500/631] Time 1.525s (1.594s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000569 (0.000614) Accuracy 0.841 (0.883) loss_pose: 0.000270 loss_cons: 0.000300 -2023-07-27 11:05:11,744 Epoch: [131][600/631] Time 1.610s (1.587s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000656 (0.000614) Accuracy 0.883 (0.882) loss_pose: 0.000234 loss_cons: 0.000423 -2023-07-27 11:05:58,171 Epoch: [131][630/631] Time 1.513s (1.585s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000586 (0.000614) Accuracy 0.883 (0.882) loss_pose: 0.000252 loss_cons: 0.000334 -2023-07-27 11:06:05,676 Test: [0/199] Time 5.374 (5.374) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-27 11:06:25,739 Test: [100/199] Time 0.201 (0.254) Loss 0.0002 (0.0002) Accuracy 0.909 (0.869) -2023-07-27 11:06:44,500 Test: [198/199] Time 0.185 (0.223) Loss 0.0002 (0.0002) Accuracy 0.948 (0.867) -2023-07-27 11:06:49,225 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 11:06:58,004 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:06:58,046 The Predictions of Net 1 -2023-07-27 11:06:58,046 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:06:58,047 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:06:58,047 | 256x192_pose_dual_101_d256d256d256 | 0.7271 | 0.9254 | 0.8133 | 0.7059 | 0.7642 | 0.7593 | 0.9334 | 0.8314 | 0.7290 | 0.8050 | -2023-07-27 11:06:58,751 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 11:07:03,575 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:07:03,608 The Predictions of Net 2 -2023-07-27 11:07:03,609 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:07:03,610 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:07:03,610 | 256x192_pose_dual_101_d256d256d256 | 0.7315 | 0.9256 | 0.8149 | 0.7091 | 0.7699 | 0.7626 | 0.9342 | 0.8344 | 0.7323 | 0.8082 | -2023-07-27 11:07:04,299 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 11:07:09,114 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:07:09,150 Ensemble Predictions -2023-07-27 11:07:09,151 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:07:09,151 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:07:09,151 | 256x192_pose_dual_101_d256d256d256 | 0.7385 | 0.9258 | 0.8248 | 0.7172 | 0.7774 | 0.7700 | 0.9373 | 0.8421 | 0.7395 | 0.8162 | -2023-07-27 11:07:09,152 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 11:07:17,376 Epoch: [132][0/631] Time 5.241s (5.241s) Speed 6.1 samples/s Data 3.509s (3.509s) Loss 0.000514 (0.000514) Accuracy 0.902 (0.902) loss_pose: 0.000170 loss_cons: 0.000344 -2023-07-27 11:09:53,757 Epoch: [132][100/631] Time 1.523s (1.600s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000590 (0.000610) Accuracy 0.912 (0.883) loss_pose: 0.000189 loss_cons: 0.000401 -2023-07-27 11:12:28,679 Epoch: [132][200/631] Time 1.513s (1.575s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000583 (0.000608) Accuracy 0.860 (0.881) loss_pose: 0.000227 loss_cons: 0.000356 -2023-07-27 11:15:03,384 Epoch: [132][300/631] Time 1.601s (1.566s) Speed 20.0 samples/s Data 0.000s (0.012s) Loss 0.000747 (0.000611) Accuracy 0.866 (0.881) loss_pose: 0.000212 loss_cons: 0.000535 -2023-07-27 11:17:38,160 Epoch: [132][400/631] Time 1.519s (1.561s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000647 (0.000615) Accuracy 0.837 (0.881) loss_pose: 0.000237 loss_cons: 0.000410 -2023-07-27 11:20:13,287 Epoch: [132][500/631] Time 1.524s (1.559s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000593 (0.000616) Accuracy 0.835 (0.881) loss_pose: 0.000252 loss_cons: 0.000341 -2023-07-27 11:22:46,741 Epoch: [132][600/631] Time 1.509s (1.555s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000668 (0.000616) Accuracy 0.866 (0.881) loss_pose: 0.000238 loss_cons: 0.000430 -2023-07-27 11:23:32,058 Epoch: [132][630/631] Time 1.506s (1.553s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000500 (0.000616) Accuracy 0.935 (0.881) loss_pose: 0.000164 loss_cons: 0.000336 -2023-07-27 11:23:40,135 Test: [0/199] Time 5.680 (5.680) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-27 11:23:59,803 Test: [100/199] Time 0.193 (0.251) Loss 0.0002 (0.0002) Accuracy 0.888 (0.869) -2023-07-27 11:24:18,296 Test: [198/199] Time 0.138 (0.221) Loss 0.0002 (0.0002) Accuracy 0.943 (0.867) -2023-07-27 11:24:20,018 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 11:24:30,091 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:24:30,128 The Predictions of Net 1 -2023-07-27 11:24:30,130 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:24:30,130 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:24:30,130 | 256x192_pose_dual_101_d256d256d256 | 0.7281 | 0.9259 | 0.8139 | 0.7050 | 0.7680 | 0.7602 | 0.9344 | 0.8336 | 0.7283 | 0.8087 | -2023-07-27 11:24:32,902 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 11:24:37,580 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:24:37,615 The Predictions of Net 2 -2023-07-27 11:24:37,616 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:24:37,617 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:24:37,617 | 256x192_pose_dual_101_d256d256d256 | 0.7342 | 0.9262 | 0.8142 | 0.7110 | 0.7742 | 0.7659 | 0.9375 | 0.8347 | 0.7350 | 0.8127 | -2023-07-27 11:24:38,302 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 11:24:43,022 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:24:43,056 Ensemble Predictions -2023-07-27 11:24:43,057 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:24:43,057 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:24:43,058 | 256x192_pose_dual_101_d256d256d256 | 0.7407 | 0.9265 | 0.8248 | 0.7186 | 0.7802 | 0.7719 | 0.9388 | 0.8421 | 0.7413 | 0.8184 | -2023-07-27 11:24:43,059 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 11:24:51,177 Epoch: [133][0/631] Time 5.231s (5.231s) Speed 6.1 samples/s Data 3.528s (3.528s) Loss 0.000604 (0.000604) Accuracy 0.889 (0.889) loss_pose: 0.000218 loss_cons: 0.000385 -2023-07-27 11:27:26,342 Epoch: [133][100/631] Time 1.521s (1.588s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000688 (0.000607) Accuracy 0.850 (0.882) loss_pose: 0.000273 loss_cons: 0.000415 -2023-07-27 11:30:01,221 Epoch: [133][200/631] Time 1.609s (1.569s) Speed 19.9 samples/s Data 0.000s (0.018s) Loss 0.000638 (0.000610) Accuracy 0.906 (0.878) loss_pose: 0.000206 loss_cons: 0.000432 -2023-07-27 11:32:35,179 Epoch: [133][300/631] Time 1.513s (1.559s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000593 (0.000612) Accuracy 0.907 (0.879) loss_pose: 0.000182 loss_cons: 0.000411 -2023-07-27 11:35:10,605 Epoch: [133][400/631] Time 1.521s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000570 (0.000612) Accuracy 0.861 (0.879) loss_pose: 0.000195 loss_cons: 0.000375 -2023-07-27 11:37:44,323 Epoch: [133][500/631] Time 1.537s (1.554s) Speed 20.8 samples/s Data 0.000s (0.007s) Loss 0.000579 (0.000613) Accuracy 0.868 (0.880) loss_pose: 0.000217 loss_cons: 0.000362 -2023-07-27 11:40:18,263 Epoch: [133][600/631] Time 1.513s (1.551s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000695 (0.000613) Accuracy 0.830 (0.880) loss_pose: 0.000223 loss_cons: 0.000471 -2023-07-27 11:41:03,809 Epoch: [133][630/631] Time 1.510s (1.550s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000682 (0.000612) Accuracy 0.847 (0.880) loss_pose: 0.000278 loss_cons: 0.000404 -2023-07-27 11:41:11,379 Test: [0/199] Time 5.320 (5.320) Loss 0.0002 (0.0002) Accuracy 0.896 (0.896) -2023-07-27 11:41:31,721 Test: [100/199] Time 0.201 (0.255) Loss 0.0002 (0.0002) Accuracy 0.897 (0.870) -2023-07-27 11:41:50,625 Test: [198/199] Time 0.208 (0.224) Loss 0.0002 (0.0002) Accuracy 0.959 (0.870) -2023-07-27 11:41:52,225 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 11:42:01,604 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:42:01,638 The Predictions of Net 1 -2023-07-27 11:42:01,639 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:42:01,639 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:42:01,639 | 256x192_pose_dual_101_d256d256d256 | 0.7308 | 0.9258 | 0.8141 | 0.7075 | 0.7692 | 0.7626 | 0.9353 | 0.8349 | 0.7312 | 0.8100 | -2023-07-27 11:42:02,332 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 11:42:07,141 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:42:07,176 The Predictions of Net 2 -2023-07-27 11:42:07,177 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:42:07,177 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:42:07,178 | 256x192_pose_dual_101_d256d256d256 | 0.7319 | 0.9259 | 0.8134 | 0.7077 | 0.7667 | 0.7619 | 0.9351 | 0.8314 | 0.7322 | 0.8065 | -2023-07-27 11:42:09,939 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 11:42:14,651 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:42:14,688 Ensemble Predictions -2023-07-27 11:42:14,688 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:42:14,689 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:42:14,689 | 256x192_pose_dual_101_d256d256d256 | 0.7399 | 0.9357 | 0.8151 | 0.7179 | 0.7789 | 0.7715 | 0.9400 | 0.8380 | 0.7407 | 0.8178 | -2023-07-27 11:42:14,690 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 11:42:23,228 Epoch: [134][0/631] Time 5.643s (5.643s) Speed 5.7 samples/s Data 3.926s (3.926s) Loss 0.000594 (0.000594) Accuracy 0.813 (0.813) loss_pose: 0.000207 loss_cons: 0.000386 -2023-07-27 11:44:59,229 Epoch: [134][100/631] Time 1.597s (1.600s) Speed 20.0 samples/s Data 0.000s (0.039s) Loss 0.000571 (0.000600) Accuracy 0.909 (0.884) loss_pose: 0.000203 loss_cons: 0.000368 -2023-07-27 11:47:34,197 Epoch: [134][200/631] Time 1.618s (1.575s) Speed 19.8 samples/s Data 0.000s (0.020s) Loss 0.000653 (0.000605) Accuracy 0.897 (0.882) loss_pose: 0.000201 loss_cons: 0.000452 -2023-07-27 11:50:09,905 Epoch: [134][300/631] Time 1.515s (1.569s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000592 (0.000604) Accuracy 0.921 (0.883) loss_pose: 0.000196 loss_cons: 0.000396 -2023-07-27 11:52:45,241 Epoch: [134][400/631] Time 1.585s (1.565s) Speed 20.2 samples/s Data 0.000s (0.010s) Loss 0.000591 (0.000607) Accuracy 0.882 (0.882) loss_pose: 0.000217 loss_cons: 0.000375 -2023-07-27 11:55:18,837 Epoch: [134][500/631] Time 1.536s (1.559s) Speed 20.8 samples/s Data 0.000s (0.008s) Loss 0.000563 (0.000610) Accuracy 0.881 (0.882) loss_pose: 0.000206 loss_cons: 0.000357 -2023-07-27 11:57:54,394 Epoch: [134][600/631] Time 1.514s (1.559s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000760 (0.000611) Accuracy 0.859 (0.882) loss_pose: 0.000243 loss_cons: 0.000517 -2023-07-27 11:58:40,239 Epoch: [134][630/631] Time 1.601s (1.557s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000576 (0.000611) Accuracy 0.872 (0.882) loss_pose: 0.000197 loss_cons: 0.000379 -2023-07-27 11:58:47,502 Test: [0/199] Time 4.970 (4.970) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-27 11:59:08,105 Test: [100/199] Time 0.197 (0.255) Loss 0.0002 (0.0002) Accuracy 0.916 (0.872) -2023-07-27 11:59:26,689 Test: [198/199] Time 0.135 (0.223) Loss 0.0002 (0.0002) Accuracy 0.893 (0.869) -2023-07-27 11:59:28,750 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 11:59:38,231 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:59:38,277 The Predictions of Net 1 -2023-07-27 11:59:38,278 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:59:38,278 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:59:38,278 | 256x192_pose_dual_101_d256d256d256 | 0.7336 | 0.9257 | 0.8140 | 0.7139 | 0.7692 | 0.7653 | 0.9351 | 0.8366 | 0.7371 | 0.8085 | -2023-07-27 11:59:38,972 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 11:59:43,723 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:59:43,757 The Predictions of Net 2 -2023-07-27 11:59:43,757 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:59:43,758 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:59:43,759 | 256x192_pose_dual_101_d256d256d256 | 0.7347 | 0.9257 | 0.8148 | 0.7114 | 0.7738 | 0.7663 | 0.9359 | 0.8382 | 0.7365 | 0.8115 | -2023-07-27 11:59:44,448 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 11:59:49,259 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 11:59:49,295 Ensemble Predictions -2023-07-27 11:59:49,296 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 11:59:49,296 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 11:59:49,296 | 256x192_pose_dual_101_d256d256d256 | 0.7462 | 0.9356 | 0.8250 | 0.7221 | 0.7820 | 0.7751 | 0.9408 | 0.8452 | 0.7456 | 0.8200 | -2023-07-27 11:59:49,297 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 11:59:58,668 Epoch: [135][0/631] Time 5.431s (5.431s) Speed 5.9 samples/s Data 3.705s (3.705s) Loss 0.000733 (0.000733) Accuracy 0.872 (0.872) loss_pose: 0.000214 loss_cons: 0.000519 -2023-07-27 12:02:36,278 Epoch: [135][100/631] Time 1.591s (1.614s) Speed 20.1 samples/s Data 0.000s (0.037s) Loss 0.000573 (0.000611) Accuracy 0.871 (0.879) loss_pose: 0.000229 loss_cons: 0.000344 -2023-07-27 12:05:10,589 Epoch: [135][200/631] Time 1.575s (1.579s) Speed 20.3 samples/s Data 0.001s (0.019s) Loss 0.000650 (0.000611) Accuracy 0.894 (0.878) loss_pose: 0.000234 loss_cons: 0.000417 -2023-07-27 12:07:46,168 Epoch: [135][300/631] Time 1.632s (1.571s) Speed 19.6 samples/s Data 0.000s (0.013s) Loss 0.000641 (0.000610) Accuracy 0.926 (0.881) loss_pose: 0.000203 loss_cons: 0.000438 -2023-07-27 12:10:21,123 Epoch: [135][400/631] Time 1.522s (1.566s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000694 (0.000613) Accuracy 0.881 (0.880) loss_pose: 0.000217 loss_cons: 0.000477 -2023-07-27 12:12:55,255 Epoch: [135][500/631] Time 1.594s (1.561s) Speed 20.1 samples/s Data 0.001s (0.008s) Loss 0.000555 (0.000612) Accuracy 0.900 (0.881) loss_pose: 0.000188 loss_cons: 0.000366 -2023-07-27 12:15:29,251 Epoch: [135][600/631] Time 1.507s (1.557s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000544 (0.000613) Accuracy 0.857 (0.881) loss_pose: 0.000206 loss_cons: 0.000338 -2023-07-27 12:16:14,779 Epoch: [135][630/631] Time 1.517s (1.556s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000596 (0.000614) Accuracy 0.846 (0.881) loss_pose: 0.000214 loss_cons: 0.000382 -2023-07-27 12:16:22,682 Test: [0/199] Time 5.827 (5.827) Loss 0.0002 (0.0002) Accuracy 0.892 (0.892) -2023-07-27 12:16:42,452 Test: [100/199] Time 0.197 (0.254) Loss 0.0002 (0.0002) Accuracy 0.890 (0.870) -2023-07-27 12:17:00,948 Test: [198/199] Time 0.146 (0.222) Loss 0.0002 (0.0002) Accuracy 0.917 (0.869) -2023-07-27 12:17:02,920 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 12:17:12,694 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:17:12,733 The Predictions of Net 1 -2023-07-27 12:17:12,733 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:17:12,734 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:17:12,734 | 256x192_pose_dual_101_d256d256d256 | 0.7322 | 0.9255 | 0.8133 | 0.7059 | 0.7719 | 0.7628 | 0.9344 | 0.8334 | 0.7314 | 0.8107 | -2023-07-27 12:17:13,421 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 12:17:18,149 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:17:18,183 The Predictions of Net 2 -2023-07-27 12:17:18,183 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:17:18,184 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:17:18,184 | 256x192_pose_dual_101_d256d256d256 | 0.7344 | 0.9260 | 0.8155 | 0.7111 | 0.7764 | 0.7658 | 0.9366 | 0.8360 | 0.7340 | 0.8137 | -2023-07-27 12:17:18,870 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 12:17:23,601 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:17:23,635 Ensemble Predictions -2023-07-27 12:17:23,636 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:17:23,636 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:17:23,636 | 256x192_pose_dual_101_d256d256d256 | 0.7444 | 0.9358 | 0.8254 | 0.7193 | 0.7839 | 0.7737 | 0.9403 | 0.8429 | 0.7424 | 0.8216 | -2023-07-27 12:17:23,637 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 12:17:32,127 Epoch: [136][0/631] Time 5.532s (5.532s) Speed 5.8 samples/s Data 3.839s (3.839s) Loss 0.000656 (0.000656) Accuracy 0.888 (0.888) loss_pose: 0.000200 loss_cons: 0.000456 -2023-07-27 12:20:07,976 Epoch: [136][100/631] Time 1.517s (1.598s) Speed 21.1 samples/s Data 0.000s (0.038s) Loss 0.000546 (0.000609) Accuracy 0.900 (0.882) loss_pose: 0.000203 loss_cons: 0.000344 -2023-07-27 12:22:43,496 Epoch: [136][200/631] Time 1.513s (1.577s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000653 (0.000613) Accuracy 0.827 (0.883) loss_pose: 0.000250 loss_cons: 0.000403 -2023-07-27 12:25:17,055 Epoch: [136][300/631] Time 1.576s (1.563s) Speed 20.3 samples/s Data 0.000s (0.013s) Loss 0.000600 (0.000610) Accuracy 0.869 (0.884) loss_pose: 0.000204 loss_cons: 0.000396 -2023-07-27 12:27:52,410 Epoch: [136][400/631] Time 1.558s (1.561s) Speed 20.5 samples/s Data 0.001s (0.010s) Loss 0.000650 (0.000613) Accuracy 0.899 (0.884) loss_pose: 0.000205 loss_cons: 0.000445 -2023-07-27 12:30:27,182 Epoch: [136][500/631] Time 1.518s (1.558s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000524 (0.000612) Accuracy 0.882 (0.884) loss_pose: 0.000234 loss_cons: 0.000290 -2023-07-27 12:33:00,868 Epoch: [136][600/631] Time 1.513s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000636 (0.000613) Accuracy 0.877 (0.883) loss_pose: 0.000221 loss_cons: 0.000416 -2023-07-27 12:33:46,272 Epoch: [136][630/631] Time 1.504s (1.553s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000726 (0.000613) Accuracy 0.833 (0.883) loss_pose: 0.000256 loss_cons: 0.000470 -2023-07-27 12:33:52,649 Test: [0/199] Time 3.848 (3.848) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-27 12:34:13,652 Test: [100/199] Time 0.199 (0.249) Loss 0.0002 (0.0002) Accuracy 0.890 (0.873) -2023-07-27 12:34:32,247 Test: [198/199] Time 0.134 (0.220) Loss 0.0002 (0.0002) Accuracy 0.912 (0.871) -2023-07-27 12:34:34,030 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 12:34:45,210 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:34:45,247 The Predictions of Net 1 -2023-07-27 12:34:45,247 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:34:45,248 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:34:45,249 | 256x192_pose_dual_101_d256d256d256 | 0.7337 | 0.9254 | 0.8145 | 0.7116 | 0.7742 | 0.7661 | 0.9358 | 0.8378 | 0.7353 | 0.8130 | -2023-07-27 12:34:45,952 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 12:34:50,758 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:34:50,793 The Predictions of Net 2 -2023-07-27 12:34:50,794 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:34:50,794 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:34:50,794 | 256x192_pose_dual_101_d256d256d256 | 0.7324 | 0.9260 | 0.8142 | 0.7114 | 0.7718 | 0.7641 | 0.9380 | 0.8320 | 0.7333 | 0.8111 | -2023-07-27 12:34:51,492 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 12:34:56,459 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:34:56,500 Ensemble Predictions -2023-07-27 12:34:56,500 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:34:56,501 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:34:56,501 | 256x192_pose_dual_101_d256d256d256 | 0.7425 | 0.9260 | 0.8248 | 0.7189 | 0.7813 | 0.7729 | 0.9395 | 0.8401 | 0.7423 | 0.8194 | -2023-07-27 12:34:56,502 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 12:35:04,610 Epoch: [137][0/631] Time 5.170s (5.170s) Speed 6.2 samples/s Data 3.470s (3.470s) Loss 0.000548 (0.000548) Accuracy 0.944 (0.944) loss_pose: 0.000177 loss_cons: 0.000371 -2023-07-27 12:37:39,831 Epoch: [137][100/631] Time 1.517s (1.588s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000551 (0.000603) Accuracy 0.892 (0.883) loss_pose: 0.000200 loss_cons: 0.000351 -2023-07-27 12:40:15,063 Epoch: [137][200/631] Time 1.604s (1.570s) Speed 19.9 samples/s Data 0.000s (0.018s) Loss 0.000692 (0.000603) Accuracy 0.848 (0.884) loss_pose: 0.000258 loss_cons: 0.000433 -2023-07-27 12:42:48,723 Epoch: [137][300/631] Time 1.514s (1.559s) Speed 21.1 samples/s Data 0.001s (0.012s) Loss 0.000614 (0.000607) Accuracy 0.890 (0.884) loss_pose: 0.000208 loss_cons: 0.000406 -2023-07-27 12:45:22,096 Epoch: [137][400/631] Time 1.530s (1.553s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000659 (0.000607) Accuracy 0.878 (0.885) loss_pose: 0.000216 loss_cons: 0.000443 -2023-07-27 12:47:57,549 Epoch: [137][500/631] Time 1.615s (1.553s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000612 (0.000608) Accuracy 0.856 (0.884) loss_pose: 0.000207 loss_cons: 0.000404 -2023-07-27 12:50:31,015 Epoch: [137][600/631] Time 1.514s (1.550s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000703 (0.000609) Accuracy 0.874 (0.884) loss_pose: 0.000226 loss_cons: 0.000478 -2023-07-27 12:51:16,312 Epoch: [137][630/631] Time 1.507s (1.548s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000585 (0.000609) Accuracy 0.877 (0.884) loss_pose: 0.000231 loss_cons: 0.000354 -2023-07-27 12:51:24,531 Test: [0/199] Time 6.246 (6.246) Loss 0.0002 (0.0002) Accuracy 0.891 (0.891) -2023-07-27 12:51:44,285 Test: [100/199] Time 0.198 (0.258) Loss 0.0002 (0.0002) Accuracy 0.897 (0.873) -2023-07-27 12:52:02,844 Test: [198/199] Time 0.133 (0.224) Loss 0.0002 (0.0002) Accuracy 0.938 (0.871) -2023-07-27 12:52:04,942 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 12:52:14,607 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:52:14,643 The Predictions of Net 1 -2023-07-27 12:52:14,644 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:52:14,645 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:52:14,645 | 256x192_pose_dual_101_d256d256d256 | 0.7342 | 0.9255 | 0.8145 | 0.7111 | 0.7740 | 0.7651 | 0.9342 | 0.8374 | 0.7339 | 0.8123 | -2023-07-27 12:52:15,339 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 12:52:22,146 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:52:22,184 The Predictions of Net 2 -2023-07-27 12:52:22,185 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:52:22,185 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:52:22,185 | 256x192_pose_dual_101_d256d256d256 | 0.7336 | 0.9252 | 0.8145 | 0.7083 | 0.7717 | 0.7636 | 0.9355 | 0.8341 | 0.7321 | 0.8113 | -2023-07-27 12:52:22,872 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 12:52:27,551 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 12:52:27,585 Ensemble Predictions -2023-07-27 12:52:27,586 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 12:52:27,586 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 12:52:27,586 | 256x192_pose_dual_101_d256d256d256 | 0.7451 | 0.9259 | 0.8257 | 0.7210 | 0.7845 | 0.7747 | 0.9397 | 0.8465 | 0.7442 | 0.8211 | -2023-07-27 12:52:27,588 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 12:52:35,689 Epoch: [138][0/631] Time 5.199s (5.199s) Speed 6.2 samples/s Data 3.488s (3.488s) Loss 0.000552 (0.000552) Accuracy 0.880 (0.880) loss_pose: 0.000231 loss_cons: 0.000320 -2023-07-27 12:55:10,698 Epoch: [138][100/631] Time 1.606s (1.586s) Speed 19.9 samples/s Data 0.000s (0.035s) Loss 0.000641 (0.000604) Accuracy 0.896 (0.879) loss_pose: 0.000214 loss_cons: 0.000427 -2023-07-27 12:57:44,836 Epoch: [138][200/631] Time 1.510s (1.564s) Speed 21.2 samples/s Data 0.000s (0.018s) Loss 0.000608 (0.000606) Accuracy 0.907 (0.879) loss_pose: 0.000198 loss_cons: 0.000410 -2023-07-27 13:00:19,801 Epoch: [138][300/631] Time 1.527s (1.559s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000760 (0.000604) Accuracy 0.878 (0.881) loss_pose: 0.000212 loss_cons: 0.000548 -2023-07-27 13:02:53,403 Epoch: [138][400/631] Time 1.521s (1.553s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000598 (0.000606) Accuracy 0.903 (0.881) loss_pose: 0.000181 loss_cons: 0.000417 -2023-07-27 13:05:27,082 Epoch: [138][500/631] Time 1.519s (1.550s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000582 (0.000609) Accuracy 0.900 (0.882) loss_pose: 0.000234 loss_cons: 0.000347 -2023-07-27 13:08:00,884 Epoch: [138][600/631] Time 1.506s (1.548s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000597 (0.000609) Accuracy 0.876 (0.882) loss_pose: 0.000187 loss_cons: 0.000410 -2023-07-27 13:08:46,273 Epoch: [138][630/631] Time 1.511s (1.546s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000624 (0.000609) Accuracy 0.887 (0.882) loss_pose: 0.000221 loss_cons: 0.000403 -2023-07-27 13:08:53,008 Test: [0/199] Time 4.744 (4.744) Loss 0.0002 (0.0002) Accuracy 0.890 (0.890) -2023-07-27 13:09:13,796 Test: [100/199] Time 0.205 (0.254) Loss 0.0002 (0.0002) Accuracy 0.902 (0.872) -2023-07-27 13:09:32,453 Test: [198/199] Time 0.138 (0.223) Loss 0.0002 (0.0002) Accuracy 0.888 (0.870) -2023-07-27 13:09:34,261 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 13:09:44,194 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:09:44,233 The Predictions of Net 1 -2023-07-27 13:09:44,233 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:09:44,234 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:09:44,234 | 256x192_pose_dual_101_d256d256d256 | 0.7330 | 0.9256 | 0.8123 | 0.7108 | 0.7708 | 0.7642 | 0.9366 | 0.8319 | 0.7338 | 0.8103 | -2023-07-27 13:09:44,924 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 13:09:49,660 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:09:49,693 The Predictions of Net 2 -2023-07-27 13:09:49,694 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:09:49,695 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:09:49,695 | 256x192_pose_dual_101_d256d256d256 | 0.7333 | 0.9254 | 0.8151 | 0.7108 | 0.7723 | 0.7643 | 0.9345 | 0.8377 | 0.7337 | 0.8109 | -2023-07-27 13:09:50,381 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 13:09:57,198 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:09:57,233 Ensemble Predictions -2023-07-27 13:09:57,234 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:09:57,234 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:09:57,234 | 256x192_pose_dual_101_d256d256d256 | 0.7428 | 0.9262 | 0.8255 | 0.7194 | 0.7839 | 0.7740 | 0.9392 | 0.8451 | 0.7426 | 0.8215 | -2023-07-27 13:09:57,236 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 13:10:05,432 Epoch: [139][0/631] Time 5.272s (5.272s) Speed 6.1 samples/s Data 3.546s (3.546s) Loss 0.000571 (0.000571) Accuracy 0.908 (0.908) loss_pose: 0.000181 loss_cons: 0.000390 -2023-07-27 13:12:39,654 Epoch: [139][100/631] Time 1.514s (1.579s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000603 (0.000617) Accuracy 0.877 (0.887) loss_pose: 0.000218 loss_cons: 0.000385 -2023-07-27 13:15:13,362 Epoch: [139][200/631] Time 1.516s (1.558s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000644 (0.000613) Accuracy 0.883 (0.885) loss_pose: 0.000217 loss_cons: 0.000427 -2023-07-27 13:17:47,881 Epoch: [139][300/631] Time 1.598s (1.554s) Speed 20.0 samples/s Data 0.000s (0.012s) Loss 0.000616 (0.000612) Accuracy 0.901 (0.886) loss_pose: 0.000184 loss_cons: 0.000432 -2023-07-27 13:20:21,900 Epoch: [139][400/631] Time 1.521s (1.550s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000687 (0.000613) Accuracy 0.858 (0.885) loss_pose: 0.000270 loss_cons: 0.000417 -2023-07-27 13:22:55,869 Epoch: [139][500/631] Time 1.517s (1.548s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000593 (0.000611) Accuracy 0.841 (0.885) loss_pose: 0.000247 loss_cons: 0.000347 -2023-07-27 13:25:30,065 Epoch: [139][600/631] Time 1.616s (1.547s) Speed 19.8 samples/s Data 0.000s (0.006s) Loss 0.000642 (0.000612) Accuracy 0.884 (0.885) loss_pose: 0.000203 loss_cons: 0.000440 -2023-07-27 13:26:18,193 Epoch: [139][630/631] Time 1.606s (1.550s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000574 (0.000612) Accuracy 0.894 (0.884) loss_pose: 0.000214 loss_cons: 0.000360 -2023-07-27 13:26:25,985 Test: [0/199] Time 5.768 (5.768) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-27 13:26:45,801 Test: [100/199] Time 0.211 (0.254) Loss 0.0002 (0.0002) Accuracy 0.892 (0.871) -2023-07-27 13:27:04,389 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.891 (0.871) -2023-07-27 13:27:06,471 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 13:27:15,884 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:27:15,925 The Predictions of Net 1 -2023-07-27 13:27:15,926 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:27:15,927 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:27:15,927 | 256x192_pose_dual_101_d256d256d256 | 0.7341 | 0.9256 | 0.8141 | 0.7121 | 0.7728 | 0.7665 | 0.9378 | 0.8369 | 0.7354 | 0.8135 | -2023-07-27 13:27:16,628 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 13:27:21,448 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:27:21,488 The Predictions of Net 2 -2023-07-27 13:27:21,489 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:27:21,489 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:27:21,489 | 256x192_pose_dual_101_d256d256d256 | 0.7355 | 0.9263 | 0.8160 | 0.7114 | 0.7763 | 0.7673 | 0.9380 | 0.8385 | 0.7346 | 0.8160 | -2023-07-27 13:27:22,177 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 13:27:26,891 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:27:26,926 Ensemble Predictions -2023-07-27 13:27:26,926 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:27:26,927 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:27:26,927 | 256x192_pose_dual_101_d256d256d256 | 0.7449 | 0.9360 | 0.8256 | 0.7211 | 0.7841 | 0.7748 | 0.9414 | 0.8429 | 0.7430 | 0.8230 | -2023-07-27 13:27:26,928 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 13:27:36,334 Epoch: [140][0/631] Time 5.420s (5.420s) Speed 5.9 samples/s Data 3.728s (3.728s) Loss 0.000630 (0.000630) Accuracy 0.882 (0.882) loss_pose: 0.000215 loss_cons: 0.000415 -2023-07-27 13:30:17,908 Epoch: [140][100/631] Time 1.531s (1.653s) Speed 20.9 samples/s Data 0.000s (0.037s) Loss 0.000622 (0.000603) Accuracy 0.880 (0.884) loss_pose: 0.000215 loss_cons: 0.000407 -2023-07-27 13:32:56,801 Epoch: [140][200/631] Time 1.515s (1.621s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000534 (0.000605) Accuracy 0.916 (0.885) loss_pose: 0.000190 loss_cons: 0.000344 -2023-07-27 13:35:35,185 Epoch: [140][300/631] Time 1.540s (1.609s) Speed 20.8 samples/s Data 0.000s (0.013s) Loss 0.000626 (0.000605) Accuracy 0.870 (0.884) loss_pose: 0.000221 loss_cons: 0.000405 -2023-07-27 13:38:09,052 Epoch: [140][400/631] Time 1.513s (1.591s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000548 (0.000604) Accuracy 0.870 (0.884) loss_pose: 0.000187 loss_cons: 0.000361 -2023-07-27 13:40:43,019 Epoch: [140][500/631] Time 1.645s (1.581s) Speed 19.4 samples/s Data 0.000s (0.008s) Loss 0.000574 (0.000606) Accuracy 0.858 (0.882) loss_pose: 0.000260 loss_cons: 0.000314 -2023-07-27 13:43:17,569 Epoch: [140][600/631] Time 1.516s (1.575s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000580 (0.000608) Accuracy 0.849 (0.883) loss_pose: 0.000206 loss_cons: 0.000373 -2023-07-27 13:44:02,959 Epoch: [140][630/631] Time 1.513s (1.572s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000592 (0.000609) Accuracy 0.912 (0.883) loss_pose: 0.000217 loss_cons: 0.000375 -2023-07-27 13:44:10,955 Test: [0/199] Time 5.752 (5.752) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-27 13:44:30,657 Test: [100/199] Time 0.206 (0.252) Loss 0.0002 (0.0002) Accuracy 0.904 (0.872) -2023-07-27 13:44:49,117 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.929 (0.871) -2023-07-27 13:44:51,033 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 13:45:02,223 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:45:02,260 The Predictions of Net 1 -2023-07-27 13:45:02,260 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:45:02,261 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:45:02,261 | 256x192_pose_dual_101_d256d256d256 | 0.7341 | 0.9260 | 0.8141 | 0.7116 | 0.7745 | 0.7660 | 0.9370 | 0.8367 | 0.7351 | 0.8131 | -2023-07-27 13:45:02,948 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 13:45:07,742 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:45:07,774 The Predictions of Net 2 -2023-07-27 13:45:07,775 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:45:07,776 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:45:07,776 | 256x192_pose_dual_101_d256d256d256 | 0.7353 | 0.9256 | 0.8246 | 0.7090 | 0.7757 | 0.7664 | 0.9347 | 0.8415 | 0.7342 | 0.8152 | -2023-07-27 13:45:08,466 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 13:45:13,273 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 13:45:13,308 Ensemble Predictions -2023-07-27 13:45:13,308 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 13:45:13,309 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 13:45:13,309 | 256x192_pose_dual_101_d256d256d256 | 0.7450 | 0.9264 | 0.8258 | 0.7203 | 0.7839 | 0.7752 | 0.9395 | 0.8463 | 0.7440 | 0.8226 | -2023-07-27 13:45:13,310 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 13:45:21,911 Epoch: [141][0/631] Time 5.595s (5.595s) Speed 5.7 samples/s Data 3.863s (3.863s) Loss 0.000562 (0.000562) Accuracy 0.916 (0.916) loss_pose: 0.000188 loss_cons: 0.000374 -2023-07-27 13:47:57,316 Epoch: [141][100/631] Time 1.519s (1.594s) Speed 21.1 samples/s Data 0.000s (0.039s) Loss 0.000506 (0.000611) Accuracy 0.950 (0.879) loss_pose: 0.000169 loss_cons: 0.000337 -2023-07-27 13:50:32,211 Epoch: [141][200/631] Time 1.532s (1.572s) Speed 20.9 samples/s Data 0.000s (0.020s) Loss 0.000760 (0.000609) Accuracy 0.894 (0.880) loss_pose: 0.000236 loss_cons: 0.000524 -2023-07-27 13:53:06,359 Epoch: [141][300/631] Time 1.511s (1.562s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000740 (0.000609) Accuracy 0.900 (0.882) loss_pose: 0.000231 loss_cons: 0.000509 -2023-07-27 13:55:40,351 Epoch: [141][400/631] Time 1.512s (1.556s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000566 (0.000609) Accuracy 0.887 (0.882) loss_pose: 0.000201 loss_cons: 0.000365 -2023-07-27 13:58:15,652 Epoch: [141][500/631] Time 1.517s (1.556s) Speed 21.1 samples/s Data 0.001s (0.008s) Loss 0.000540 (0.000608) Accuracy 0.929 (0.883) loss_pose: 0.000200 loss_cons: 0.000340 -2023-07-27 14:00:49,869 Epoch: [141][600/631] Time 1.516s (1.553s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000621 (0.000608) Accuracy 0.912 (0.883) loss_pose: 0.000211 loss_cons: 0.000411 -2023-07-27 14:01:35,540 Epoch: [141][630/631] Time 1.521s (1.552s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000557 (0.000608) Accuracy 0.914 (0.883) loss_pose: 0.000193 loss_cons: 0.000364 -2023-07-27 14:01:43,713 Test: [0/199] Time 6.084 (6.084) Loss 0.0002 (0.0002) Accuracy 0.898 (0.898) -2023-07-27 14:02:03,380 Test: [100/199] Time 0.211 (0.255) Loss 0.0002 (0.0002) Accuracy 0.921 (0.872) -2023-07-27 14:02:21,942 Test: [198/199] Time 0.145 (0.223) Loss 0.0002 (0.0002) Accuracy 0.884 (0.870) -2023-07-27 14:02:23,356 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 14:02:32,408 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:02:32,451 The Predictions of Net 1 -2023-07-27 14:02:32,451 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:02:32,452 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:02:32,453 | 256x192_pose_dual_101_d256d256d256 | 0.7317 | 0.9258 | 0.8132 | 0.7061 | 0.7707 | 0.7622 | 0.9336 | 0.8319 | 0.7297 | 0.8111 | -2023-07-27 14:02:33,172 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 14:02:40,306 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:02:40,341 The Predictions of Net 2 -2023-07-27 14:02:40,342 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:02:40,342 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:02:40,342 | 256x192_pose_dual_101_d256d256d256 | 0.7361 | 0.9260 | 0.8156 | 0.7104 | 0.7779 | 0.7674 | 0.9370 | 0.8375 | 0.7351 | 0.8162 | -2023-07-27 14:02:41,031 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 14:02:45,780 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:02:45,817 Ensemble Predictions -2023-07-27 14:02:45,818 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:02:45,818 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:02:45,818 | 256x192_pose_dual_101_d256d256d256 | 0.7442 | 0.9265 | 0.8257 | 0.7198 | 0.7881 | 0.7752 | 0.9399 | 0.8427 | 0.7426 | 0.8246 | -2023-07-27 14:02:45,819 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 14:02:54,508 Epoch: [142][0/631] Time 5.796s (5.796s) Speed 5.5 samples/s Data 4.084s (4.084s) Loss 0.000550 (0.000550) Accuracy 0.881 (0.881) loss_pose: 0.000213 loss_cons: 0.000337 -2023-07-27 14:05:29,931 Epoch: [142][100/631] Time 1.600s (1.596s) Speed 20.0 samples/s Data 0.000s (0.041s) Loss 0.000563 (0.000606) Accuracy 0.862 (0.880) loss_pose: 0.000202 loss_cons: 0.000361 -2023-07-27 14:08:04,712 Epoch: [142][200/631] Time 1.545s (1.572s) Speed 20.7 samples/s Data 0.000s (0.021s) Loss 0.000550 (0.000602) Accuracy 0.892 (0.883) loss_pose: 0.000198 loss_cons: 0.000352 -2023-07-27 14:10:39,602 Epoch: [142][300/631] Time 1.574s (1.564s) Speed 20.3 samples/s Data 0.000s (0.014s) Loss 0.000630 (0.000606) Accuracy 0.872 (0.883) loss_pose: 0.000216 loss_cons: 0.000414 -2023-07-27 14:13:14,555 Epoch: [142][400/631] Time 1.508s (1.561s) Speed 21.2 samples/s Data 0.001s (0.011s) Loss 0.000692 (0.000608) Accuracy 0.845 (0.882) loss_pose: 0.000274 loss_cons: 0.000419 -2023-07-27 14:15:48,105 Epoch: [142][500/631] Time 1.516s (1.556s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000643 (0.000608) Accuracy 0.863 (0.883) loss_pose: 0.000232 loss_cons: 0.000412 -2023-07-27 14:18:23,650 Epoch: [142][600/631] Time 1.603s (1.556s) Speed 20.0 samples/s Data 0.001s (0.007s) Loss 0.000671 (0.000607) Accuracy 0.909 (0.884) loss_pose: 0.000208 loss_cons: 0.000462 -2023-07-27 14:19:11,798 Epoch: [142][630/631] Time 1.619s (1.558s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000570 (0.000607) Accuracy 0.884 (0.884) loss_pose: 0.000237 loss_cons: 0.000333 -2023-07-27 14:19:19,232 Test: [0/199] Time 5.147 (5.147) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-27 14:19:39,495 Test: [100/199] Time 0.198 (0.253) Loss 0.0002 (0.0002) Accuracy 0.911 (0.872) -2023-07-27 14:19:58,049 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.927 (0.872) -2023-07-27 14:19:59,960 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 14:20:09,195 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:20:09,236 The Predictions of Net 1 -2023-07-27 14:20:09,237 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:20:09,237 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:20:09,237 | 256x192_pose_dual_101_d256d256d256 | 0.7347 | 0.9256 | 0.8141 | 0.7103 | 0.7737 | 0.7650 | 0.9342 | 0.8347 | 0.7339 | 0.8122 | -2023-07-27 14:20:09,965 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 14:20:14,743 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:20:14,776 The Predictions of Net 2 -2023-07-27 14:20:14,776 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:20:14,777 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:20:14,777 | 256x192_pose_dual_101_d256d256d256 | 0.7328 | 0.9253 | 0.8151 | 0.7087 | 0.7731 | 0.7646 | 0.9339 | 0.8371 | 0.7337 | 0.8114 | -2023-07-27 14:20:15,462 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 14:20:22,235 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:20:22,270 Ensemble Predictions -2023-07-27 14:20:22,271 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:20:22,271 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:20:22,271 | 256x192_pose_dual_101_d256d256d256 | 0.7411 | 0.9261 | 0.8258 | 0.7172 | 0.7827 | 0.7734 | 0.9370 | 0.8448 | 0.7425 | 0.8204 | -2023-07-27 14:20:22,272 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 14:20:30,557 Epoch: [143][0/631] Time 5.284s (5.284s) Speed 6.1 samples/s Data 3.536s (3.536s) Loss 0.000571 (0.000571) Accuracy 0.840 (0.840) loss_pose: 0.000260 loss_cons: 0.000312 -2023-07-27 14:23:06,161 Epoch: [143][100/631] Time 1.523s (1.593s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000610 (0.000602) Accuracy 0.842 (0.883) loss_pose: 0.000250 loss_cons: 0.000360 -2023-07-27 14:25:39,584 Epoch: [143][200/631] Time 1.595s (1.564s) Speed 20.1 samples/s Data 0.000s (0.018s) Loss 0.000596 (0.000603) Accuracy 0.895 (0.885) loss_pose: 0.000187 loss_cons: 0.000409 -2023-07-27 14:28:13,440 Epoch: [143][300/631] Time 1.531s (1.555s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000720 (0.000602) Accuracy 0.834 (0.885) loss_pose: 0.000230 loss_cons: 0.000490 -2023-07-27 14:30:46,600 Epoch: [143][400/631] Time 1.514s (1.549s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000706 (0.000604) Accuracy 0.845 (0.883) loss_pose: 0.000267 loss_cons: 0.000439 -2023-07-27 14:33:19,468 Epoch: [143][500/631] Time 1.511s (1.545s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000616 (0.000604) Accuracy 0.829 (0.882) loss_pose: 0.000237 loss_cons: 0.000380 -2023-07-27 14:35:53,614 Epoch: [143][600/631] Time 1.501s (1.545s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000608 (0.000606) Accuracy 0.912 (0.882) loss_pose: 0.000198 loss_cons: 0.000410 -2023-07-27 14:36:39,050 Epoch: [143][630/631] Time 1.510s (1.543s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000540 (0.000605) Accuracy 0.920 (0.882) loss_pose: 0.000179 loss_cons: 0.000361 -2023-07-27 14:36:46,852 Test: [0/199] Time 5.744 (5.744) Loss 0.0002 (0.0002) Accuracy 0.900 (0.900) -2023-07-27 14:37:06,905 Test: [100/199] Time 0.205 (0.256) Loss 0.0002 (0.0002) Accuracy 0.908 (0.871) -2023-07-27 14:37:25,513 Test: [198/199] Time 0.139 (0.224) Loss 0.0002 (0.0002) Accuracy 0.931 (0.870) -2023-07-27 14:37:27,524 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 14:37:37,078 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:37:37,117 The Predictions of Net 1 -2023-07-27 14:37:37,118 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:37:37,118 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:37:37,119 | 256x192_pose_dual_101_d256d256d256 | 0.7326 | 0.9256 | 0.8135 | 0.7117 | 0.7718 | 0.7644 | 0.9366 | 0.8314 | 0.7340 | 0.8104 | -2023-07-27 14:37:37,833 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 14:37:42,822 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:37:42,857 The Predictions of Net 2 -2023-07-27 14:37:42,858 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:37:42,859 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:37:42,859 | 256x192_pose_dual_101_d256d256d256 | 0.7326 | 0.9253 | 0.8146 | 0.7110 | 0.7741 | 0.7657 | 0.9355 | 0.8358 | 0.7337 | 0.8139 | -2023-07-27 14:37:43,562 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 14:37:48,451 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:37:48,494 Ensemble Predictions -2023-07-27 14:37:48,495 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:37:48,495 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:37:48,495 | 256x192_pose_dual_101_d256d256d256 | 0.7453 | 0.9357 | 0.8258 | 0.7222 | 0.7818 | 0.7748 | 0.9402 | 0.8432 | 0.7446 | 0.8207 | -2023-07-27 14:37:48,496 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 14:37:57,222 Epoch: [144][0/631] Time 5.505s (5.505s) Speed 5.8 samples/s Data 3.835s (3.835s) Loss 0.000647 (0.000647) Accuracy 0.857 (0.857) loss_pose: 0.000259 loss_cons: 0.000388 -2023-07-27 14:40:31,939 Epoch: [144][100/631] Time 1.604s (1.586s) Speed 19.9 samples/s Data 0.000s (0.038s) Loss 0.000561 (0.000616) Accuracy 0.898 (0.881) loss_pose: 0.000200 loss_cons: 0.000362 -2023-07-27 14:43:06,943 Epoch: [144][200/631] Time 1.520s (1.568s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000705 (0.000615) Accuracy 0.867 (0.882) loss_pose: 0.000225 loss_cons: 0.000481 -2023-07-27 14:45:42,014 Epoch: [144][300/631] Time 1.605s (1.562s) Speed 19.9 samples/s Data 0.000s (0.013s) Loss 0.000601 (0.000610) Accuracy 0.906 (0.881) loss_pose: 0.000188 loss_cons: 0.000413 -2023-07-27 14:48:16,743 Epoch: [144][400/631] Time 1.526s (1.559s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000616 (0.000613) Accuracy 0.812 (0.881) loss_pose: 0.000265 loss_cons: 0.000351 -2023-07-27 14:50:53,410 Epoch: [144][500/631] Time 1.530s (1.560s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000596 (0.000610) Accuracy 0.943 (0.882) loss_pose: 0.000180 loss_cons: 0.000416 -2023-07-27 14:53:27,216 Epoch: [144][600/631] Time 1.515s (1.557s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000650 (0.000610) Accuracy 0.917 (0.882) loss_pose: 0.000197 loss_cons: 0.000453 -2023-07-27 14:54:12,822 Epoch: [144][630/631] Time 1.592s (1.555s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000607 (0.000610) Accuracy 0.872 (0.882) loss_pose: 0.000253 loss_cons: 0.000354 -2023-07-27 14:54:20,095 Test: [0/199] Time 4.858 (4.858) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-27 14:54:40,632 Test: [100/199] Time 0.211 (0.253) Loss 0.0002 (0.0002) Accuracy 0.912 (0.872) -2023-07-27 14:54:59,259 Test: [198/199] Time 0.138 (0.222) Loss 0.0002 (0.0002) Accuracy 0.911 (0.872) -2023-07-27 14:55:00,832 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 14:55:10,635 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:55:10,672 The Predictions of Net 1 -2023-07-27 14:55:10,673 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:55:10,674 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:55:10,674 | 256x192_pose_dual_101_d256d256d256 | 0.7364 | 0.9256 | 0.8142 | 0.7130 | 0.7767 | 0.7674 | 0.9372 | 0.8361 | 0.7360 | 0.8150 | -2023-07-27 14:55:11,371 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 14:55:16,153 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:55:16,190 The Predictions of Net 2 -2023-07-27 14:55:16,191 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:55:16,191 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:55:16,191 | 256x192_pose_dual_101_d256d256d256 | 0.7362 | 0.9260 | 0.8154 | 0.7137 | 0.7763 | 0.7676 | 0.9362 | 0.8377 | 0.7371 | 0.8138 | -2023-07-27 14:55:16,884 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 14:55:21,634 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 14:55:21,668 Ensemble Predictions -2023-07-27 14:55:21,668 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 14:55:21,669 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 14:55:21,669 | 256x192_pose_dual_101_d256d256d256 | 0.7466 | 0.9264 | 0.8257 | 0.7225 | 0.7857 | 0.7767 | 0.9392 | 0.8473 | 0.7463 | 0.8229 | -2023-07-27 14:55:21,670 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 14:55:31,098 Epoch: [145][0/631] Time 5.433s (5.433s) Speed 5.9 samples/s Data 3.673s (3.673s) Loss 0.000519 (0.000519) Accuracy 0.913 (0.913) loss_pose: 0.000187 loss_cons: 0.000332 -2023-07-27 14:58:05,972 Epoch: [145][100/631] Time 1.525s (1.587s) Speed 21.0 samples/s Data 0.001s (0.037s) Loss 0.000620 (0.000606) Accuracy 0.899 (0.884) loss_pose: 0.000213 loss_cons: 0.000408 -2023-07-27 15:00:40,804 Epoch: [145][200/631] Time 1.513s (1.568s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000628 (0.000610) Accuracy 0.927 (0.882) loss_pose: 0.000184 loss_cons: 0.000444 -2023-07-27 15:03:16,207 Epoch: [145][300/631] Time 1.545s (1.563s) Speed 20.7 samples/s Data 0.000s (0.013s) Loss 0.000643 (0.000609) Accuracy 0.901 (0.882) loss_pose: 0.000190 loss_cons: 0.000453 -2023-07-27 15:05:50,214 Epoch: [145][400/631] Time 1.624s (1.557s) Speed 19.7 samples/s Data 0.000s (0.010s) Loss 0.000690 (0.000610) Accuracy 0.922 (0.882) loss_pose: 0.000209 loss_cons: 0.000481 -2023-07-27 15:08:23,876 Epoch: [145][500/631] Time 1.514s (1.553s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000588 (0.000609) Accuracy 0.897 (0.882) loss_pose: 0.000191 loss_cons: 0.000398 -2023-07-27 15:10:56,666 Epoch: [145][600/631] Time 1.507s (1.549s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000645 (0.000608) Accuracy 0.918 (0.882) loss_pose: 0.000201 loss_cons: 0.000444 -2023-07-27 15:11:42,148 Epoch: [145][630/631] Time 1.505s (1.548s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000453 (0.000608) Accuracy 0.913 (0.882) loss_pose: 0.000162 loss_cons: 0.000291 -2023-07-27 15:11:48,808 Test: [0/199] Time 4.378 (4.378) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-27 15:12:09,068 Test: [100/199] Time 0.196 (0.246) Loss 0.0002 (0.0002) Accuracy 0.912 (0.872) -2023-07-27 15:12:27,650 Test: [198/199] Time 0.135 (0.218) Loss 0.0002 (0.0002) Accuracy 0.904 (0.871) -2023-07-27 15:12:28,813 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 15:12:40,812 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:12:40,851 The Predictions of Net 1 -2023-07-27 15:12:40,852 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:12:40,853 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:12:40,853 | 256x192_pose_dual_101_d256d256d256 | 0.7336 | 0.9258 | 0.8141 | 0.7136 | 0.7727 | 0.7659 | 0.9361 | 0.8375 | 0.7362 | 0.8117 | -2023-07-27 15:12:41,542 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 15:12:46,276 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:12:46,310 The Predictions of Net 2 -2023-07-27 15:12:46,311 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:12:46,311 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:12:46,311 | 256x192_pose_dual_101_d256d256d256 | 0.7355 | 0.9259 | 0.8140 | 0.7124 | 0.7742 | 0.7667 | 0.9377 | 0.8364 | 0.7367 | 0.8124 | -2023-07-27 15:12:47,001 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 15:12:51,809 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:12:51,846 Ensemble Predictions -2023-07-27 15:12:51,846 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:12:51,847 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:12:51,847 | 256x192_pose_dual_101_d256d256d256 | 0.7467 | 0.9357 | 0.8256 | 0.7242 | 0.7841 | 0.7766 | 0.9402 | 0.8482 | 0.7469 | 0.8217 | -2023-07-27 15:12:51,848 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 15:13:00,104 Epoch: [146][0/631] Time 5.056s (5.056s) Speed 6.3 samples/s Data 3.384s (3.384s) Loss 0.000553 (0.000553) Accuracy 0.922 (0.922) loss_pose: 0.000197 loss_cons: 0.000356 -2023-07-27 15:15:34,277 Epoch: [146][100/631] Time 1.514s (1.577s) Speed 21.1 samples/s Data 0.000s (0.034s) Loss 0.000624 (0.000608) Accuracy 0.872 (0.885) loss_pose: 0.000224 loss_cons: 0.000400 -2023-07-27 15:18:08,878 Epoch: [146][200/631] Time 1.540s (1.561s) Speed 20.8 samples/s Data 0.000s (0.017s) Loss 0.000648 (0.000607) Accuracy 0.905 (0.886) loss_pose: 0.000202 loss_cons: 0.000446 -2023-07-27 15:20:41,944 Epoch: [146][300/631] Time 1.516s (1.551s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000776 (0.000608) Accuracy 0.874 (0.883) loss_pose: 0.000226 loss_cons: 0.000549 -2023-07-27 15:23:15,913 Epoch: [146][400/631] Time 1.517s (1.548s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000576 (0.000609) Accuracy 0.902 (0.884) loss_pose: 0.000187 loss_cons: 0.000389 -2023-07-27 15:25:50,121 Epoch: [146][500/631] Time 1.510s (1.547s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000549 (0.000608) Accuracy 0.919 (0.884) loss_pose: 0.000181 loss_cons: 0.000368 -2023-07-27 15:28:22,976 Epoch: [146][600/631] Time 1.525s (1.544s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000588 (0.000610) Accuracy 0.901 (0.884) loss_pose: 0.000189 loss_cons: 0.000399 -2023-07-27 15:29:08,411 Epoch: [146][630/631] Time 1.506s (1.543s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000559 (0.000610) Accuracy 0.880 (0.884) loss_pose: 0.000212 loss_cons: 0.000347 -2023-07-27 15:29:14,752 Test: [0/199] Time 4.196 (4.196) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-27 15:29:36,001 Test: [100/199] Time 0.209 (0.255) Loss 0.0002 (0.0002) Accuracy 0.894 (0.870) -2023-07-27 15:29:54,694 Test: [198/199] Time 0.139 (0.223) Loss 0.0002 (0.0002) Accuracy 0.918 (0.869) -2023-07-27 15:29:56,355 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 15:30:06,118 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:30:06,176 The Predictions of Net 1 -2023-07-27 15:30:06,177 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:30:06,177 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:30:06,177 | 256x192_pose_dual_101_d256d256d256 | 0.7332 | 0.9254 | 0.8135 | 0.7114 | 0.7710 | 0.7650 | 0.9358 | 0.8355 | 0.7356 | 0.8100 | -2023-07-27 15:30:06,881 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 15:30:13,987 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:30:14,028 The Predictions of Net 2 -2023-07-27 15:30:14,029 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:30:14,029 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:30:14,029 | 256x192_pose_dual_101_d256d256d256 | 0.7363 | 0.9260 | 0.8153 | 0.7138 | 0.7781 | 0.7682 | 0.9362 | 0.8391 | 0.7370 | 0.8148 | -2023-07-27 15:30:14,721 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 15:30:19,486 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:30:19,522 Ensemble Predictions -2023-07-27 15:30:19,523 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:30:19,523 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:30:19,524 | 256x192_pose_dual_101_d256d256d256 | 0.7456 | 0.9261 | 0.8249 | 0.7214 | 0.7866 | 0.7762 | 0.9395 | 0.8462 | 0.7455 | 0.8227 | -2023-07-27 15:30:19,524 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 15:30:27,806 Epoch: [147][0/631] Time 5.208s (5.208s) Speed 6.1 samples/s Data 3.367s (3.367s) Loss 0.000639 (0.000639) Accuracy 0.856 (0.856) loss_pose: 0.000245 loss_cons: 0.000395 -2023-07-27 15:33:03,961 Epoch: [147][100/631] Time 1.515s (1.598s) Speed 21.1 samples/s Data 0.000s (0.034s) Loss 0.000557 (0.000604) Accuracy 0.898 (0.882) loss_pose: 0.000201 loss_cons: 0.000355 -2023-07-27 15:35:39,060 Epoch: [147][200/631] Time 1.556s (1.574s) Speed 20.6 samples/s Data 0.000s (0.017s) Loss 0.000651 (0.000609) Accuracy 0.870 (0.883) loss_pose: 0.000225 loss_cons: 0.000426 -2023-07-27 15:38:13,383 Epoch: [147][300/631] Time 1.620s (1.564s) Speed 19.8 samples/s Data 0.000s (0.012s) Loss 0.000598 (0.000610) Accuracy 0.903 (0.883) loss_pose: 0.000202 loss_cons: 0.000396 -2023-07-27 15:40:46,239 Epoch: [147][400/631] Time 1.522s (1.555s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000624 (0.000612) Accuracy 0.882 (0.883) loss_pose: 0.000206 loss_cons: 0.000418 -2023-07-27 15:43:20,987 Epoch: [147][500/631] Time 1.599s (1.554s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000640 (0.000609) Accuracy 0.897 (0.883) loss_pose: 0.000217 loss_cons: 0.000424 -2023-07-27 15:45:56,734 Epoch: [147][600/631] Time 1.506s (1.554s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000545 (0.000607) Accuracy 0.902 (0.884) loss_pose: 0.000194 loss_cons: 0.000351 -2023-07-27 15:46:42,076 Epoch: [147][630/631] Time 1.506s (1.552s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000554 (0.000607) Accuracy 0.851 (0.884) loss_pose: 0.000211 loss_cons: 0.000343 -2023-07-27 15:46:50,022 Test: [0/199] Time 5.788 (5.788) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-27 15:47:09,894 Test: [100/199] Time 0.193 (0.254) Loss 0.0002 (0.0002) Accuracy 0.905 (0.873) -2023-07-27 15:47:28,766 Test: [198/199] Time 0.205 (0.224) Loss 0.0002 (0.0002) Accuracy 0.941 (0.872) -2023-07-27 15:47:30,513 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 15:47:40,149 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:47:40,191 The Predictions of Net 1 -2023-07-27 15:47:40,191 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:47:40,192 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:47:40,192 | 256x192_pose_dual_101_d256d256d256 | 0.7322 | 0.9258 | 0.8148 | 0.7115 | 0.7706 | 0.7647 | 0.9369 | 0.8345 | 0.7348 | 0.8104 | -2023-07-27 15:47:40,887 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 15:47:45,716 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:47:45,751 The Predictions of Net 2 -2023-07-27 15:47:45,752 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:47:45,753 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:47:45,753 | 256x192_pose_dual_101_d256d256d256 | 0.7345 | 0.9258 | 0.8148 | 0.7106 | 0.7747 | 0.7662 | 0.9351 | 0.8360 | 0.7348 | 0.8140 | -2023-07-27 15:47:46,443 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 15:47:51,183 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 15:47:51,219 Ensemble Predictions -2023-07-27 15:47:51,220 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 15:47:51,221 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 15:47:51,221 | 256x192_pose_dual_101_d256d256d256 | 0.7423 | 0.9260 | 0.8258 | 0.7215 | 0.7820 | 0.7746 | 0.9383 | 0.8460 | 0.7448 | 0.8203 | -2023-07-27 15:47:51,222 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 15:48:01,566 Epoch: [148][0/631] Time 5.269s (5.269s) Speed 6.1 samples/s Data 3.499s (3.499s) Loss 0.000449 (0.000449) Accuracy 0.935 (0.935) loss_pose: 0.000163 loss_cons: 0.000286 -2023-07-27 15:50:36,130 Epoch: [148][100/631] Time 1.524s (1.583s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000542 (0.000599) Accuracy 0.859 (0.884) loss_pose: 0.000264 loss_cons: 0.000278 -2023-07-27 15:53:11,487 Epoch: [148][200/631] Time 1.515s (1.568s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000624 (0.000603) Accuracy 0.866 (0.883) loss_pose: 0.000201 loss_cons: 0.000423 -2023-07-27 15:55:45,651 Epoch: [148][300/631] Time 1.550s (1.559s) Speed 20.6 samples/s Data 0.000s (0.012s) Loss 0.000646 (0.000605) Accuracy 0.904 (0.885) loss_pose: 0.000215 loss_cons: 0.000432 -2023-07-27 15:58:19,455 Epoch: [148][400/631] Time 1.516s (1.554s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000668 (0.000604) Accuracy 0.912 (0.885) loss_pose: 0.000197 loss_cons: 0.000471 -2023-07-27 16:00:52,751 Epoch: [148][500/631] Time 1.523s (1.550s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000661 (0.000604) Accuracy 0.905 (0.884) loss_pose: 0.000213 loss_cons: 0.000448 -2023-07-27 16:03:26,470 Epoch: [148][600/631] Time 1.585s (1.548s) Speed 20.2 samples/s Data 0.001s (0.006s) Loss 0.000497 (0.000603) Accuracy 0.922 (0.884) loss_pose: 0.000187 loss_cons: 0.000310 -2023-07-27 16:04:13,582 Epoch: [148][630/631] Time 1.508s (1.549s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000626 (0.000603) Accuracy 0.820 (0.884) loss_pose: 0.000239 loss_cons: 0.000387 -2023-07-27 16:04:20,897 Test: [0/199] Time 5.129 (5.129) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-27 16:04:41,126 Test: [100/199] Time 0.204 (0.252) Loss 0.0002 (0.0002) Accuracy 0.907 (0.873) -2023-07-27 16:04:59,899 Test: [198/199] Time 0.133 (0.223) Loss 0.0002 (0.0002) Accuracy 0.924 (0.872) -2023-07-27 16:05:00,892 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 16:05:08,055 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:05:08,134 The Predictions of Net 1 -2023-07-27 16:05:08,137 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:05:08,138 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:05:08,138 | 256x192_pose_dual_101_d256d256d256 | 0.7367 | 0.9257 | 0.8140 | 0.7154 | 0.7760 | 0.7686 | 0.9364 | 0.8358 | 0.7378 | 0.8155 | -2023-07-27 16:05:09,622 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 16:05:16,332 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:05:16,367 The Predictions of Net 2 -2023-07-27 16:05:16,368 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:05:16,369 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:05:16,369 | 256x192_pose_dual_101_d256d256d256 | 0.7358 | 0.9253 | 0.8140 | 0.7126 | 0.7753 | 0.7673 | 0.9339 | 0.8375 | 0.7356 | 0.8153 | -2023-07-27 16:05:17,058 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 16:05:21,883 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:05:21,920 Ensemble Predictions -2023-07-27 16:05:21,921 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:05:21,921 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:05:21,921 | 256x192_pose_dual_101_d256d256d256 | 0.7458 | 0.9262 | 0.8251 | 0.7217 | 0.7870 | 0.7771 | 0.9389 | 0.8452 | 0.7460 | 0.8243 | -2023-07-27 16:05:21,922 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 16:05:31,029 Epoch: [149][0/631] Time 6.133s (6.133s) Speed 5.2 samples/s Data 4.459s (4.459s) Loss 0.000553 (0.000553) Accuracy 0.842 (0.842) loss_pose: 0.000215 loss_cons: 0.000338 -2023-07-27 16:08:10,362 Epoch: [149][100/631] Time 1.518s (1.638s) Speed 21.1 samples/s Data 0.000s (0.045s) Loss 0.000586 (0.000601) Accuracy 0.893 (0.889) loss_pose: 0.000210 loss_cons: 0.000375 -2023-07-27 16:10:53,953 Epoch: [149][200/631] Time 1.521s (1.637s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000590 (0.000601) Accuracy 0.905 (0.887) loss_pose: 0.000172 loss_cons: 0.000418 -2023-07-27 16:13:27,806 Epoch: [149][300/631] Time 1.517s (1.604s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000692 (0.000600) Accuracy 0.922 (0.887) loss_pose: 0.000178 loss_cons: 0.000514 -2023-07-27 16:16:00,712 Epoch: [149][400/631] Time 1.608s (1.586s) Speed 19.9 samples/s Data 0.001s (0.012s) Loss 0.000623 (0.000605) Accuracy 0.900 (0.885) loss_pose: 0.000206 loss_cons: 0.000416 -2023-07-27 16:18:34,916 Epoch: [149][500/631] Time 1.629s (1.577s) Speed 19.6 samples/s Data 0.000s (0.009s) Loss 0.000635 (0.000605) Accuracy 0.878 (0.884) loss_pose: 0.000245 loss_cons: 0.000390 -2023-07-27 16:21:08,167 Epoch: [149][600/631] Time 1.515s (1.570s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000554 (0.000605) Accuracy 0.892 (0.884) loss_pose: 0.000187 loss_cons: 0.000367 -2023-07-27 16:21:53,551 Epoch: [149][630/631] Time 1.507s (1.567s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000550 (0.000606) Accuracy 0.891 (0.884) loss_pose: 0.000199 loss_cons: 0.000352 -2023-07-27 16:22:00,607 Test: [0/199] Time 5.051 (5.051) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-27 16:22:21,046 Test: [100/199] Time 0.201 (0.254) Loss 0.0002 (0.0002) Accuracy 0.909 (0.872) -2023-07-27 16:22:39,730 Test: [198/199] Time 0.140 (0.223) Loss 0.0002 (0.0002) Accuracy 0.916 (0.871) -2023-07-27 16:22:41,495 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 16:22:52,996 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:22:53,033 The Predictions of Net 1 -2023-07-27 16:22:53,034 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:22:53,035 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:22:53,035 | 256x192_pose_dual_101_d256d256d256 | 0.7346 | 0.9262 | 0.8137 | 0.7106 | 0.7750 | 0.7651 | 0.9358 | 0.8338 | 0.7344 | 0.8117 | -2023-07-27 16:22:53,724 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 16:22:58,501 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:22:58,539 The Predictions of Net 2 -2023-07-27 16:22:58,540 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:22:58,540 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:22:58,540 | 256x192_pose_dual_101_d256d256d256 | 0.7360 | 0.9260 | 0.8149 | 0.7138 | 0.7762 | 0.7676 | 0.9350 | 0.8388 | 0.7364 | 0.8145 | -2023-07-27 16:22:59,227 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 16:23:04,021 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:23:04,054 Ensemble Predictions -2023-07-27 16:23:04,055 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:23:04,055 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:23:04,055 | 256x192_pose_dual_101_d256d256d256 | 0.7463 | 0.9267 | 0.8262 | 0.7230 | 0.7857 | 0.7757 | 0.9395 | 0.8449 | 0.7449 | 0.8224 | -2023-07-27 16:23:04,056 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 16:23:12,843 Epoch: [150][0/631] Time 5.810s (5.810s) Speed 5.5 samples/s Data 4.118s (4.118s) Loss 0.000564 (0.000564) Accuracy 0.888 (0.888) loss_pose: 0.000199 loss_cons: 0.000365 -2023-07-27 16:25:48,729 Epoch: [150][100/631] Time 1.513s (1.601s) Speed 21.2 samples/s Data 0.000s (0.041s) Loss 0.000574 (0.000598) Accuracy 0.930 (0.883) loss_pose: 0.000178 loss_cons: 0.000397 -2023-07-27 16:28:24,436 Epoch: [150][200/631] Time 1.599s (1.579s) Speed 20.0 samples/s Data 0.000s (0.021s) Loss 0.000628 (0.000603) Accuracy 0.855 (0.883) loss_pose: 0.000262 loss_cons: 0.000366 -2023-07-27 16:31:00,368 Epoch: [150][300/631] Time 1.537s (1.573s) Speed 20.8 samples/s Data 0.001s (0.014s) Loss 0.000673 (0.000602) Accuracy 0.917 (0.883) loss_pose: 0.000174 loss_cons: 0.000499 -2023-07-27 16:33:34,816 Epoch: [150][400/631] Time 1.586s (1.566s) Speed 20.2 samples/s Data 0.000s (0.011s) Loss 0.000597 (0.000604) Accuracy 0.849 (0.883) loss_pose: 0.000238 loss_cons: 0.000359 -2023-07-27 16:36:10,443 Epoch: [150][500/631] Time 1.522s (1.564s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000721 (0.000603) Accuracy 0.865 (0.884) loss_pose: 0.000227 loss_cons: 0.000494 -2023-07-27 16:38:44,434 Epoch: [150][600/631] Time 1.518s (1.560s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000635 (0.000605) Accuracy 0.924 (0.884) loss_pose: 0.000198 loss_cons: 0.000437 -2023-07-27 16:39:29,817 Epoch: [150][630/631] Time 1.522s (1.557s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000618 (0.000605) Accuracy 0.917 (0.884) loss_pose: 0.000225 loss_cons: 0.000392 -2023-07-27 16:39:37,567 Test: [0/199] Time 5.616 (5.616) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-27 16:39:57,513 Test: [100/199] Time 0.211 (0.254) Loss 0.0002 (0.0002) Accuracy 0.912 (0.873) -2023-07-27 16:40:16,192 Test: [198/199] Time 0.133 (0.223) Loss 0.0002 (0.0002) Accuracy 0.917 (0.870) -2023-07-27 16:40:18,516 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 16:40:28,083 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:40:28,129 The Predictions of Net 1 -2023-07-27 16:40:28,131 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:40:28,131 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:40:28,131 | 256x192_pose_dual_101_d256d256d256 | 0.7329 | 0.9258 | 0.8146 | 0.7085 | 0.7740 | 0.7642 | 0.9345 | 0.8336 | 0.7321 | 0.8129 | -2023-07-27 16:40:28,852 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 16:40:35,920 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:40:35,957 The Predictions of Net 2 -2023-07-27 16:40:35,957 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:40:35,958 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:40:35,958 | 256x192_pose_dual_101_d256d256d256 | 0.7359 | 0.9257 | 0.8145 | 0.7135 | 0.7759 | 0.7679 | 0.9380 | 0.8375 | 0.7371 | 0.8145 | -2023-07-27 16:40:36,653 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 16:40:41,517 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:40:41,554 Ensemble Predictions -2023-07-27 16:40:41,555 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:40:41,555 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:40:41,555 | 256x192_pose_dual_101_d256d256d256 | 0.7467 | 0.9353 | 0.8261 | 0.7213 | 0.7858 | 0.7761 | 0.9400 | 0.8468 | 0.7452 | 0.8228 | -2023-07-27 16:40:41,556 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 16:40:49,511 Epoch: [151][0/631] Time 4.992s (4.992s) Speed 6.4 samples/s Data 3.161s (3.161s) Loss 0.000629 (0.000629) Accuracy 0.945 (0.945) loss_pose: 0.000173 loss_cons: 0.000455 -2023-07-27 16:43:23,537 Epoch: [151][100/631] Time 1.517s (1.574s) Speed 21.1 samples/s Data 0.000s (0.032s) Loss 0.000617 (0.000612) Accuracy 0.862 (0.882) loss_pose: 0.000252 loss_cons: 0.000365 -2023-07-27 16:45:57,805 Epoch: [151][200/631] Time 1.540s (1.559s) Speed 20.8 samples/s Data 0.000s (0.016s) Loss 0.000622 (0.000609) Accuracy 0.891 (0.883) loss_pose: 0.000225 loss_cons: 0.000397 -2023-07-27 16:48:32,883 Epoch: [151][300/631] Time 1.535s (1.556s) Speed 20.8 samples/s Data 0.000s (0.011s) Loss 0.000560 (0.000608) Accuracy 0.897 (0.882) loss_pose: 0.000223 loss_cons: 0.000337 -2023-07-27 16:51:07,932 Epoch: [151][400/631] Time 1.604s (1.555s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000615 (0.000609) Accuracy 0.882 (0.882) loss_pose: 0.000187 loss_cons: 0.000428 -2023-07-27 16:53:42,285 Epoch: [151][500/631] Time 1.623s (1.552s) Speed 19.7 samples/s Data 0.000s (0.007s) Loss 0.000689 (0.000606) Accuracy 0.899 (0.884) loss_pose: 0.000215 loss_cons: 0.000474 -2023-07-27 16:56:17,039 Epoch: [151][600/631] Time 1.515s (1.552s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000627 (0.000606) Accuracy 0.887 (0.885) loss_pose: 0.000223 loss_cons: 0.000403 -2023-07-27 16:57:02,374 Epoch: [151][630/631] Time 1.507s (1.550s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000528 (0.000606) Accuracy 0.914 (0.885) loss_pose: 0.000188 loss_cons: 0.000340 -2023-07-27 16:57:10,217 Test: [0/199] Time 6.063 (6.063) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-27 16:57:30,043 Test: [100/199] Time 0.192 (0.256) Loss 0.0002 (0.0002) Accuracy 0.889 (0.874) -2023-07-27 16:57:48,776 Test: [198/199] Time 0.181 (0.224) Loss 0.0002 (0.0002) Accuracy 0.937 (0.872) -2023-07-27 16:57:50,297 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 16:57:59,793 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:57:59,835 The Predictions of Net 1 -2023-07-27 16:57:59,836 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:57:59,836 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:57:59,836 | 256x192_pose_dual_101_d256d256d256 | 0.7366 | 0.9260 | 0.8153 | 0.7137 | 0.7779 | 0.7684 | 0.9380 | 0.8366 | 0.7367 | 0.8164 | -2023-07-27 16:58:00,542 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 16:58:05,378 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:58:05,410 The Predictions of Net 2 -2023-07-27 16:58:05,411 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:58:05,412 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:58:05,412 | 256x192_pose_dual_101_d256d256d256 | 0.7358 | 0.9262 | 0.8136 | 0.7144 | 0.7763 | 0.7685 | 0.9391 | 0.8361 | 0.7372 | 0.8153 | -2023-07-27 16:58:06,100 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 16:58:13,166 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 16:58:13,203 Ensemble Predictions -2023-07-27 16:58:13,203 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 16:58:13,204 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 16:58:13,204 | 256x192_pose_dual_101_d256d256d256 | 0.7504 | 0.9360 | 0.8264 | 0.7247 | 0.7891 | 0.7789 | 0.9402 | 0.8497 | 0.7479 | 0.8258 | -2023-07-27 16:58:13,205 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 16:58:21,960 Epoch: [152][0/631] Time 5.778s (5.778s) Speed 5.5 samples/s Data 4.087s (4.087s) Loss 0.000569 (0.000569) Accuracy 0.917 (0.917) loss_pose: 0.000206 loss_cons: 0.000364 -2023-07-27 17:00:56,520 Epoch: [152][100/631] Time 1.543s (1.588s) Speed 20.7 samples/s Data 0.000s (0.041s) Loss 0.000552 (0.000599) Accuracy 0.848 (0.888) loss_pose: 0.000244 loss_cons: 0.000308 -2023-07-27 17:03:32,741 Epoch: [152][200/631] Time 1.525s (1.575s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000670 (0.000598) Accuracy 0.896 (0.888) loss_pose: 0.000208 loss_cons: 0.000462 -2023-07-27 17:06:07,217 Epoch: [152][300/631] Time 1.595s (1.565s) Speed 20.1 samples/s Data 0.000s (0.014s) Loss 0.000656 (0.000601) Accuracy 0.891 (0.885) loss_pose: 0.000226 loss_cons: 0.000430 -2023-07-27 17:08:42,409 Epoch: [152][400/631] Time 1.528s (1.562s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000724 (0.000605) Accuracy 0.889 (0.885) loss_pose: 0.000208 loss_cons: 0.000516 -2023-07-27 17:11:17,895 Epoch: [152][500/631] Time 1.541s (1.560s) Speed 20.8 samples/s Data 0.000s (0.009s) Loss 0.000541 (0.000606) Accuracy 0.912 (0.885) loss_pose: 0.000200 loss_cons: 0.000341 -2023-07-27 17:13:53,257 Epoch: [152][600/631] Time 1.510s (1.559s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000673 (0.000605) Accuracy 0.879 (0.885) loss_pose: 0.000254 loss_cons: 0.000419 -2023-07-27 17:14:38,918 Epoch: [152][630/631] Time 1.600s (1.557s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000541 (0.000605) Accuracy 0.938 (0.885) loss_pose: 0.000166 loss_cons: 0.000374 -2023-07-27 17:14:47,329 Test: [0/199] Time 6.467 (6.467) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-27 17:15:06,908 Test: [100/199] Time 0.204 (0.258) Loss 0.0002 (0.0002) Accuracy 0.902 (0.874) -2023-07-27 17:15:25,514 Test: [198/199] Time 0.135 (0.225) Loss 0.0002 (0.0002) Accuracy 0.925 (0.872) -2023-07-27 17:15:27,505 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 17:15:36,658 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:15:36,703 The Predictions of Net 1 -2023-07-27 17:15:36,705 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:15:36,705 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:15:36,705 | 256x192_pose_dual_101_d256d256d256 | 0.7351 | 0.9257 | 0.8154 | 0.7114 | 0.7757 | 0.7664 | 0.9372 | 0.8374 | 0.7344 | 0.8146 | -2023-07-27 17:15:37,406 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 17:15:42,133 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:15:42,166 The Predictions of Net 2 -2023-07-27 17:15:42,167 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:15:42,167 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:15:42,167 | 256x192_pose_dual_101_d256d256d256 | 0.7350 | 0.9259 | 0.8155 | 0.7106 | 0.7751 | 0.7663 | 0.9394 | 0.8344 | 0.7342 | 0.8145 | -2023-07-27 17:15:42,856 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 17:15:47,642 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:15:47,676 Ensemble Predictions -2023-07-27 17:15:47,677 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:15:47,677 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:15:47,677 | 256x192_pose_dual_101_d256d256d256 | 0.7475 | 0.9357 | 0.8256 | 0.7205 | 0.7884 | 0.7762 | 0.9413 | 0.8459 | 0.7447 | 0.8242 | -2023-07-27 17:15:47,678 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 17:15:56,825 Epoch: [153][0/631] Time 6.163s (6.163s) Speed 5.2 samples/s Data 4.504s (4.504s) Loss 0.000609 (0.000609) Accuracy 0.859 (0.859) loss_pose: 0.000235 loss_cons: 0.000374 -2023-07-27 17:18:31,826 Epoch: [153][100/631] Time 1.602s (1.596s) Speed 20.0 samples/s Data 0.000s (0.045s) Loss 0.000580 (0.000588) Accuracy 0.827 (0.885) loss_pose: 0.000237 loss_cons: 0.000343 -2023-07-27 17:21:06,304 Epoch: [153][200/631] Time 1.510s (1.570s) Speed 21.2 samples/s Data 0.000s (0.023s) Loss 0.000571 (0.000597) Accuracy 0.876 (0.885) loss_pose: 0.000209 loss_cons: 0.000363 -2023-07-27 17:23:41,641 Epoch: [153][300/631] Time 1.528s (1.565s) Speed 20.9 samples/s Data 0.000s (0.015s) Loss 0.000740 (0.000602) Accuracy 0.887 (0.885) loss_pose: 0.000233 loss_cons: 0.000507 -2023-07-27 17:26:16,271 Epoch: [153][400/631] Time 1.527s (1.560s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000628 (0.000603) Accuracy 0.902 (0.886) loss_pose: 0.000197 loss_cons: 0.000431 -2023-07-27 17:28:51,107 Epoch: [153][500/631] Time 1.520s (1.558s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000557 (0.000604) Accuracy 0.890 (0.886) loss_pose: 0.000219 loss_cons: 0.000338 -2023-07-27 17:31:25,326 Epoch: [153][600/631] Time 1.511s (1.555s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000664 (0.000603) Accuracy 0.868 (0.886) loss_pose: 0.000227 loss_cons: 0.000437 -2023-07-27 17:32:11,035 Epoch: [153][630/631] Time 1.507s (1.554s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000608 (0.000604) Accuracy 0.869 (0.886) loss_pose: 0.000204 loss_cons: 0.000404 -2023-07-27 17:32:18,163 Test: [0/199] Time 4.761 (4.761) Loss 0.0002 (0.0002) Accuracy 0.893 (0.893) -2023-07-27 17:32:39,202 Test: [100/199] Time 0.202 (0.258) Loss 0.0002 (0.0002) Accuracy 0.907 (0.874) -2023-07-27 17:32:58,366 Test: [198/199] Time 0.274 (0.227) Loss 0.0002 (0.0002) Accuracy 0.921 (0.873) -2023-07-27 17:33:05,437 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 17:33:12,042 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:33:12,084 The Predictions of Net 1 -2023-07-27 17:33:12,084 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:33:12,085 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:33:12,086 | 256x192_pose_dual_101_d256d256d256 | 0.7361 | 0.9258 | 0.8147 | 0.7124 | 0.7772 | 0.7670 | 0.9367 | 0.8341 | 0.7353 | 0.8151 | -2023-07-27 17:33:12,778 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 17:33:17,631 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:33:17,674 The Predictions of Net 2 -2023-07-27 17:33:17,674 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:33:17,675 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:33:17,675 | 256x192_pose_dual_101_d256d256d256 | 0.7366 | 0.9260 | 0.8142 | 0.7121 | 0.7771 | 0.7679 | 0.9373 | 0.8352 | 0.7356 | 0.8164 | -2023-07-27 17:33:18,364 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 17:33:23,180 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:33:23,218 Ensemble Predictions -2023-07-27 17:33:23,219 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:33:23,219 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:33:23,219 | 256x192_pose_dual_101_d256d256d256 | 0.7488 | 0.9264 | 0.8264 | 0.7218 | 0.7876 | 0.7771 | 0.9399 | 0.8456 | 0.7452 | 0.8253 | -2023-07-27 17:33:23,220 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 17:33:33,431 Epoch: [154][0/631] Time 6.208s (6.208s) Speed 5.2 samples/s Data 4.526s (4.526s) Loss 0.000566 (0.000566) Accuracy 0.847 (0.847) loss_pose: 0.000266 loss_cons: 0.000300 -2023-07-27 17:36:10,871 Epoch: [154][100/631] Time 1.527s (1.620s) Speed 21.0 samples/s Data 0.000s (0.045s) Loss 0.000495 (0.000596) Accuracy 0.904 (0.883) loss_pose: 0.000183 loss_cons: 0.000312 -2023-07-27 17:38:45,775 Epoch: [154][200/631] Time 1.522s (1.585s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000562 (0.000598) Accuracy 0.847 (0.884) loss_pose: 0.000217 loss_cons: 0.000345 -2023-07-27 17:41:22,014 Epoch: [154][300/631] Time 1.525s (1.577s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000688 (0.000601) Accuracy 0.908 (0.883) loss_pose: 0.000176 loss_cons: 0.000512 -2023-07-27 17:43:56,617 Epoch: [154][400/631] Time 1.535s (1.570s) Speed 20.8 samples/s Data 0.000s (0.012s) Loss 0.000649 (0.000605) Accuracy 0.894 (0.884) loss_pose: 0.000200 loss_cons: 0.000449 -2023-07-27 17:46:31,384 Epoch: [154][500/631] Time 1.530s (1.565s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000549 (0.000604) Accuracy 0.846 (0.884) loss_pose: 0.000217 loss_cons: 0.000333 -2023-07-27 17:49:05,602 Epoch: [154][600/631] Time 1.506s (1.561s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000647 (0.000602) Accuracy 0.873 (0.885) loss_pose: 0.000196 loss_cons: 0.000451 -2023-07-27 17:49:52,798 Epoch: [154][630/631] Time 1.596s (1.562s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000551 (0.000603) Accuracy 0.884 (0.886) loss_pose: 0.000209 loss_cons: 0.000342 -2023-07-27 17:50:00,980 Test: [0/199] Time 5.884 (5.884) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-27 17:50:20,722 Test: [100/199] Time 0.201 (0.254) Loss 0.0002 (0.0002) Accuracy 0.904 (0.876) -2023-07-27 17:50:39,307 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.912 (0.873) -2023-07-27 17:50:41,130 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 17:50:50,432 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:50:50,476 The Predictions of Net 1 -2023-07-27 17:50:50,478 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:50:50,479 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:50:50,479 | 256x192_pose_dual_101_d256d256d256 | 0.7372 | 0.9259 | 0.8142 | 0.7138 | 0.7789 | 0.7698 | 0.9367 | 0.8394 | 0.7375 | 0.8183 | -2023-07-27 17:50:53,257 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 17:50:58,008 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:50:58,042 The Predictions of Net 2 -2023-07-27 17:50:58,043 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:50:58,043 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:50:58,044 | 256x192_pose_dual_101_d256d256d256 | 0.7361 | 0.9260 | 0.8149 | 0.7136 | 0.7783 | 0.7688 | 0.9389 | 0.8394 | 0.7375 | 0.8160 | -2023-07-27 17:50:58,731 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 17:51:03,500 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 17:51:03,545 Ensemble Predictions -2023-07-27 17:51:03,545 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 17:51:03,546 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 17:51:03,546 | 256x192_pose_dual_101_d256d256d256 | 0.7486 | 0.9359 | 0.8256 | 0.7227 | 0.7892 | 0.7782 | 0.9430 | 0.8459 | 0.7465 | 0.8258 | -2023-07-27 17:51:03,547 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 17:51:13,080 Epoch: [155][0/631] Time 5.532s (5.532s) Speed 5.8 samples/s Data 3.856s (3.856s) Loss 0.000562 (0.000562) Accuracy 0.940 (0.940) loss_pose: 0.000180 loss_cons: 0.000382 -2023-07-27 17:53:50,383 Epoch: [155][100/631] Time 1.616s (1.612s) Speed 19.8 samples/s Data 0.000s (0.039s) Loss 0.000519 (0.000593) Accuracy 0.926 (0.888) loss_pose: 0.000169 loss_cons: 0.000350 -2023-07-27 17:56:26,186 Epoch: [155][200/631] Time 1.514s (1.585s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000551 (0.000596) Accuracy 0.936 (0.887) loss_pose: 0.000181 loss_cons: 0.000370 -2023-07-27 17:59:00,460 Epoch: [155][300/631] Time 1.515s (1.571s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000692 (0.000598) Accuracy 0.848 (0.887) loss_pose: 0.000280 loss_cons: 0.000412 -2023-07-27 18:01:35,335 Epoch: [155][400/631] Time 1.540s (1.566s) Speed 20.8 samples/s Data 0.000s (0.010s) Loss 0.000573 (0.000600) Accuracy 0.868 (0.888) loss_pose: 0.000225 loss_cons: 0.000347 -2023-07-27 18:04:09,886 Epoch: [155][500/631] Time 1.526s (1.562s) Speed 21.0 samples/s Data 0.001s (0.008s) Loss 0.000654 (0.000599) Accuracy 0.913 (0.888) loss_pose: 0.000182 loss_cons: 0.000473 -2023-07-27 18:06:43,163 Epoch: [155][600/631] Time 1.514s (1.557s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000699 (0.000599) Accuracy 0.844 (0.889) loss_pose: 0.000223 loss_cons: 0.000476 -2023-07-27 18:07:28,598 Epoch: [155][630/631] Time 1.508s (1.555s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000517 (0.000600) Accuracy 0.858 (0.889) loss_pose: 0.000218 loss_cons: 0.000299 -2023-07-27 18:07:35,921 Test: [0/199] Time 4.843 (4.843) Loss 0.0002 (0.0002) Accuracy 0.892 (0.892) -2023-07-27 18:07:56,196 Test: [100/199] Time 0.190 (0.252) Loss 0.0002 (0.0002) Accuracy 0.887 (0.874) -2023-07-27 18:08:14,771 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.925 (0.872) -2023-07-27 18:08:16,063 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 18:08:25,342 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:08:25,378 The Predictions of Net 1 -2023-07-27 18:08:25,380 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:08:25,380 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:08:25,380 | 256x192_pose_dual_101_d256d256d256 | 0.7370 | 0.9256 | 0.8145 | 0.7142 | 0.7759 | 0.7685 | 0.9366 | 0.8374 | 0.7380 | 0.8146 | -2023-07-27 18:08:26,078 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 18:08:30,915 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:08:30,952 The Predictions of Net 2 -2023-07-27 18:08:30,953 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:08:30,953 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:08:30,953 | 256x192_pose_dual_101_d256d256d256 | 0.7387 | 0.9254 | 0.8148 | 0.7168 | 0.7786 | 0.7703 | 0.9362 | 0.8389 | 0.7392 | 0.8175 | -2023-07-27 18:08:33,751 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 18:08:38,612 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:08:38,646 Ensemble Predictions -2023-07-27 18:08:38,647 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:08:38,648 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:08:38,648 | 256x192_pose_dual_101_d256d256d256 | 0.7481 | 0.9256 | 0.8256 | 0.7247 | 0.7878 | 0.7785 | 0.9399 | 0.8476 | 0.7480 | 0.8244 | -2023-07-27 18:08:38,649 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 18:08:48,727 Epoch: [156][0/631] Time 6.084s (6.084s) Speed 5.3 samples/s Data 4.383s (4.383s) Loss 0.000519 (0.000519) Accuracy 0.938 (0.938) loss_pose: 0.000184 loss_cons: 0.000335 -2023-07-27 18:11:23,964 Epoch: [156][100/631] Time 1.584s (1.597s) Speed 20.2 samples/s Data 0.000s (0.044s) Loss 0.000623 (0.000598) Accuracy 0.820 (0.883) loss_pose: 0.000267 loss_cons: 0.000357 -2023-07-27 18:14:00,023 Epoch: [156][200/631] Time 1.603s (1.579s) Speed 20.0 samples/s Data 0.000s (0.022s) Loss 0.000616 (0.000605) Accuracy 0.871 (0.882) loss_pose: 0.000223 loss_cons: 0.000393 -2023-07-27 18:16:34,112 Epoch: [156][300/631] Time 1.554s (1.566s) Speed 20.6 samples/s Data 0.000s (0.015s) Loss 0.000929 (0.000676) Accuracy 0.887 (0.882) loss_pose: 0.000260 loss_cons: 0.000669 -2023-07-27 18:19:10,358 Epoch: [156][400/631] Time 1.648s (1.565s) Speed 19.4 samples/s Data 0.000s (0.011s) Loss 0.000697 (0.000705) Accuracy 0.880 (0.882) loss_pose: 0.000212 loss_cons: 0.000485 -2023-07-27 18:21:45,123 Epoch: [156][500/631] Time 1.522s (1.562s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000654 (0.000699) Accuracy 0.883 (0.881) loss_pose: 0.000224 loss_cons: 0.000430 -2023-07-27 18:24:20,291 Epoch: [156][600/631] Time 1.514s (1.560s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000850 (0.000726) Accuracy 0.833 (0.874) loss_pose: 0.000257 loss_cons: 0.000593 -2023-07-27 18:25:05,723 Epoch: [156][630/631] Time 1.511s (1.558s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000804 (0.000731) Accuracy 0.820 (0.871) loss_pose: 0.000259 loss_cons: 0.000545 -2023-07-27 18:25:13,234 Test: [0/199] Time 5.088 (5.088) Loss 0.0002 (0.0002) Accuracy 0.880 (0.880) -2023-07-27 18:25:33,318 Test: [100/199] Time 0.201 (0.252) Loss 0.0003 (0.0003) Accuracy 0.886 (0.838) -2023-07-27 18:25:52,112 Test: [198/199] Time 0.154 (0.222) Loss 0.0002 (0.0003) Accuracy 0.797 (0.836) -2023-07-27 18:25:53,565 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 18:26:02,951 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:26:02,996 The Predictions of Net 1 -2023-07-27 18:26:02,997 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:26:02,998 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:26:02,998 | 256x192_pose_dual_101_d256d256d256 | 0.6769 | 0.8950 | 0.7600 | 0.6548 | 0.7137 | 0.7100 | 0.9084 | 0.7805 | 0.6793 | 0.7562 | -2023-07-27 18:26:03,697 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 18:26:08,567 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:26:08,605 The Predictions of Net 2 -2023-07-27 18:26:08,606 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:26:08,607 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:26:08,607 | 256x192_pose_dual_101_d256d256d256 | 0.7154 | 0.9163 | 0.7958 | 0.6941 | 0.7544 | 0.7475 | 0.9292 | 0.8193 | 0.7165 | 0.7942 | -2023-07-27 18:26:09,301 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 18:26:14,076 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:26:14,112 Ensemble Predictions -2023-07-27 18:26:14,113 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:26:14,113 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:26:14,113 | 256x192_pose_dual_101_d256d256d256 | 0.7168 | 0.9158 | 0.7948 | 0.6946 | 0.7560 | 0.7484 | 0.9273 | 0.8197 | 0.7172 | 0.7953 | -2023-07-27 18:26:14,114 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 18:26:22,701 Epoch: [157][0/631] Time 5.549s (5.549s) Speed 5.8 samples/s Data 3.816s (3.816s) Loss 0.000849 (0.000849) Accuracy 0.812 (0.812) loss_pose: 0.000235 loss_cons: 0.000614 -2023-07-27 18:28:57,655 Epoch: [157][100/631] Time 1.528s (1.589s) Speed 20.9 samples/s Data 0.000s (0.038s) Loss 0.000876 (0.000763) Accuracy 0.840 (0.850) loss_pose: 0.000264 loss_cons: 0.000613 -2023-07-27 18:31:34,177 Epoch: [157][200/631] Time 1.520s (1.577s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000665 (0.000758) Accuracy 0.824 (0.848) loss_pose: 0.000228 loss_cons: 0.000437 -2023-07-27 18:34:09,582 Epoch: [157][300/631] Time 1.523s (1.570s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000703 (0.000742) Accuracy 0.869 (0.852) loss_pose: 0.000194 loss_cons: 0.000509 -2023-07-27 18:36:45,495 Epoch: [157][400/631] Time 1.628s (1.567s) Speed 19.7 samples/s Data 0.000s (0.010s) Loss 0.000673 (0.000730) Accuracy 0.834 (0.855) loss_pose: 0.000221 loss_cons: 0.000452 -2023-07-27 18:39:20,996 Epoch: [157][500/631] Time 1.629s (1.565s) Speed 19.6 samples/s Data 0.000s (0.008s) Loss 0.000649 (0.000719) Accuracy 0.898 (0.857) loss_pose: 0.000225 loss_cons: 0.000424 -2023-07-27 18:41:54,416 Epoch: [157][600/631] Time 1.508s (1.560s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000773 (0.000711) Accuracy 0.884 (0.860) loss_pose: 0.000215 loss_cons: 0.000558 -2023-07-27 18:42:39,918 Epoch: [157][630/631] Time 1.510s (1.557s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000675 (0.000708) Accuracy 0.868 (0.861) loss_pose: 0.000234 loss_cons: 0.000441 -2023-07-27 18:42:46,786 Test: [0/199] Time 4.613 (4.613) Loss 0.0002 (0.0002) Accuracy 0.897 (0.897) -2023-07-27 18:43:07,403 Test: [100/199] Time 0.194 (0.252) Loss 0.0002 (0.0002) Accuracy 0.888 (0.865) -2023-07-27 18:43:26,109 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.920 (0.863) -2023-07-27 18:43:27,667 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 18:43:36,654 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:43:36,699 The Predictions of Net 1 -2023-07-27 18:43:36,699 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:43:36,701 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:43:36,702 | 256x192_pose_dual_101_d256d256d256 | 0.7213 | 0.9253 | 0.8030 | 0.7001 | 0.7583 | 0.7535 | 0.9304 | 0.8245 | 0.7241 | 0.7981 | -2023-07-27 18:43:37,407 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 18:43:42,201 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:43:42,234 The Predictions of Net 2 -2023-07-27 18:43:42,235 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:43:42,235 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:43:42,236 | 256x192_pose_dual_101_d256d256d256 | 0.7300 | 0.9259 | 0.8143 | 0.7077 | 0.7695 | 0.7614 | 0.9366 | 0.8328 | 0.7304 | 0.8080 | -2023-07-27 18:43:42,920 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 18:43:47,706 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 18:43:47,741 Ensemble Predictions -2023-07-27 18:43:47,742 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 18:43:47,742 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 18:43:47,742 | 256x192_pose_dual_101_d256d256d256 | 0.7373 | 0.9263 | 0.8154 | 0.7158 | 0.7764 | 0.7678 | 0.9378 | 0.8364 | 0.7383 | 0.8127 | -2023-07-27 18:43:47,743 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 18:43:56,813 Epoch: [158][0/631] Time 6.086s (6.086s) Speed 5.3 samples/s Data 4.425s (4.425s) Loss 0.000595 (0.000595) Accuracy 0.869 (0.869) loss_pose: 0.000211 loss_cons: 0.000384 -2023-07-27 18:46:39,144 Epoch: [158][100/631] Time 1.562s (1.667s) Speed 20.5 samples/s Data 0.000s (0.044s) Loss 0.000674 (0.000654) Accuracy 0.855 (0.872) loss_pose: 0.000264 loss_cons: 0.000411 -2023-07-27 18:49:17,557 Epoch: [158][200/631] Time 1.525s (1.626s) Speed 21.0 samples/s Data 0.000s (0.022s) Loss 0.000677 (0.000650) Accuracy 0.843 (0.875) loss_pose: 0.000253 loss_cons: 0.000425 -2023-07-27 18:51:53,996 Epoch: [158][300/631] Time 1.520s (1.606s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000758 (0.000649) Accuracy 0.898 (0.876) loss_pose: 0.000211 loss_cons: 0.000547 -2023-07-27 18:54:29,385 Epoch: [158][400/631] Time 1.519s (1.593s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000662 (0.000649) Accuracy 0.891 (0.876) loss_pose: 0.000194 loss_cons: 0.000468 -2023-07-27 18:57:04,136 Epoch: [158][500/631] Time 1.519s (1.584s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000657 (0.000646) Accuracy 0.891 (0.876) loss_pose: 0.000209 loss_cons: 0.000449 -2023-07-27 18:59:36,832 Epoch: [158][600/631] Time 1.517s (1.574s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000614 (0.000645) Accuracy 0.882 (0.877) loss_pose: 0.000181 loss_cons: 0.000432 -2023-07-27 19:00:22,287 Epoch: [158][630/631] Time 1.514s (1.571s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000545 (0.000644) Accuracy 0.890 (0.877) loss_pose: 0.000189 loss_cons: 0.000356 -2023-07-27 19:00:28,382 Test: [0/199] Time 3.817 (3.817) Loss 0.0002 (0.0002) Accuracy 0.891 (0.891) -2023-07-27 19:00:49,779 Test: [100/199] Time 0.197 (0.251) Loss 0.0002 (0.0002) Accuracy 0.893 (0.870) -2023-07-27 19:01:08,487 Test: [198/199] Time 0.136 (0.222) Loss 0.0002 (0.0002) Accuracy 0.932 (0.868) -2023-07-27 19:01:10,027 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 19:01:21,390 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:01:21,428 The Predictions of Net 1 -2023-07-27 19:01:21,429 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:01:21,429 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:01:21,429 | 256x192_pose_dual_101_d256d256d256 | 0.7325 | 0.9255 | 0.8132 | 0.7105 | 0.7692 | 0.7628 | 0.9344 | 0.8328 | 0.7338 | 0.8072 | -2023-07-27 19:01:22,122 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 19:01:26,885 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:01:26,921 The Predictions of Net 2 -2023-07-27 19:01:26,922 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:01:26,923 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:01:26,923 | 256x192_pose_dual_101_d256d256d256 | 0.7360 | 0.9260 | 0.8148 | 0.7152 | 0.7764 | 0.7681 | 0.9380 | 0.8372 | 0.7372 | 0.8148 | -2023-07-27 19:01:27,616 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 19:01:32,383 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:01:32,417 Ensemble Predictions -2023-07-27 19:01:32,418 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:01:32,418 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:01:32,419 | 256x192_pose_dual_101_d256d256d256 | 0.7448 | 0.9356 | 0.8258 | 0.7197 | 0.7835 | 0.7747 | 0.9400 | 0.8445 | 0.7443 | 0.8211 | -2023-07-27 19:01:32,419 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 19:01:41,655 Epoch: [159][0/631] Time 6.104s (6.104s) Speed 5.2 samples/s Data 4.457s (4.457s) Loss 0.000729 (0.000729) Accuracy 0.841 (0.841) loss_pose: 0.000213 loss_cons: 0.000516 -2023-07-27 19:04:17,968 Epoch: [159][100/631] Time 1.521s (1.608s) Speed 21.0 samples/s Data 0.000s (0.044s) Loss 0.000645 (0.000627) Accuracy 0.863 (0.879) loss_pose: 0.000241 loss_cons: 0.000404 -2023-07-27 19:06:54,791 Epoch: [159][200/631] Time 1.653s (1.588s) Speed 19.4 samples/s Data 0.000s (0.023s) Loss 0.000728 (0.000628) Accuracy 0.860 (0.878) loss_pose: 0.000236 loss_cons: 0.000492 -2023-07-27 19:09:27,982 Epoch: [159][300/631] Time 1.529s (1.570s) Speed 20.9 samples/s Data 0.000s (0.015s) Loss 0.000783 (0.000628) Accuracy 0.887 (0.879) loss_pose: 0.000217 loss_cons: 0.000566 -2023-07-27 19:12:03,053 Epoch: [159][400/631] Time 1.514s (1.565s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000668 (0.000628) Accuracy 0.864 (0.878) loss_pose: 0.000245 loss_cons: 0.000422 -2023-07-27 19:14:37,768 Epoch: [159][500/631] Time 1.515s (1.561s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000668 (0.000627) Accuracy 0.794 (0.878) loss_pose: 0.000240 loss_cons: 0.000428 -2023-07-27 19:17:12,102 Epoch: [159][600/631] Time 1.513s (1.558s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000598 (0.000626) Accuracy 0.879 (0.879) loss_pose: 0.000214 loss_cons: 0.000385 -2023-07-27 19:17:57,540 Epoch: [159][630/631] Time 1.506s (1.556s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000582 (0.000625) Accuracy 0.916 (0.879) loss_pose: 0.000222 loss_cons: 0.000360 -2023-07-27 19:18:05,332 Test: [0/199] Time 5.579 (5.579) Loss 0.0002 (0.0002) Accuracy 0.928 (0.928) -2023-07-27 19:18:25,093 Test: [100/199] Time 0.197 (0.252) Loss 0.0002 (0.0002) Accuracy 0.901 (0.869) -2023-07-27 19:18:43,632 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.920 (0.866) -2023-07-27 19:18:45,324 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 19:18:55,205 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:18:55,242 The Predictions of Net 1 -2023-07-27 19:18:55,243 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:18:55,243 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:18:55,243 | 256x192_pose_dual_101_d256d256d256 | 0.7291 | 0.9255 | 0.8130 | 0.7057 | 0.7691 | 0.7601 | 0.9350 | 0.8309 | 0.7293 | 0.8072 | -2023-07-27 19:18:55,935 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 19:19:02,720 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:19:02,755 The Predictions of Net 2 -2023-07-27 19:19:02,756 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:19:02,756 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:19:02,756 | 256x192_pose_dual_101_d256d256d256 | 0.7337 | 0.9257 | 0.8152 | 0.7116 | 0.7735 | 0.7661 | 0.9377 | 0.8378 | 0.7352 | 0.8124 | -2023-07-27 19:19:03,442 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 19:19:08,180 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:19:08,214 Ensemble Predictions -2023-07-27 19:19:08,214 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:19:08,215 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:19:08,215 | 256x192_pose_dual_101_d256d256d256 | 0.7433 | 0.9355 | 0.8247 | 0.7188 | 0.7806 | 0.7729 | 0.9410 | 0.8421 | 0.7419 | 0.8199 | -2023-07-27 19:19:08,216 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 19:19:17,054 Epoch: [160][0/631] Time 5.890s (5.890s) Speed 5.4 samples/s Data 4.204s (4.204s) Loss 0.000600 (0.000600) Accuracy 0.849 (0.849) loss_pose: 0.000242 loss_cons: 0.000357 -2023-07-27 19:21:51,868 Epoch: [160][100/631] Time 1.518s (1.591s) Speed 21.1 samples/s Data 0.001s (0.042s) Loss 0.000553 (0.000608) Accuracy 0.915 (0.882) loss_pose: 0.000199 loss_cons: 0.000354 -2023-07-27 19:24:26,325 Epoch: [160][200/631] Time 1.515s (1.568s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000674 (0.000613) Accuracy 0.898 (0.882) loss_pose: 0.000232 loss_cons: 0.000443 -2023-07-27 19:27:00,600 Epoch: [160][300/631] Time 1.524s (1.560s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000677 (0.000610) Accuracy 0.895 (0.882) loss_pose: 0.000203 loss_cons: 0.000474 -2023-07-27 19:29:36,603 Epoch: [160][400/631] Time 1.624s (1.560s) Speed 19.7 samples/s Data 0.000s (0.011s) Loss 0.000659 (0.000611) Accuracy 0.848 (0.883) loss_pose: 0.000251 loss_cons: 0.000408 -2023-07-27 19:32:11,730 Epoch: [160][500/631] Time 1.514s (1.558s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000546 (0.000611) Accuracy 0.880 (0.883) loss_pose: 0.000189 loss_cons: 0.000358 -2023-07-27 19:34:45,988 Epoch: [160][600/631] Time 1.598s (1.555s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000769 (0.000612) Accuracy 0.854 (0.883) loss_pose: 0.000241 loss_cons: 0.000529 -2023-07-27 19:35:32,174 Epoch: [160][630/631] Time 1.507s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000537 (0.000611) Accuracy 0.853 (0.883) loss_pose: 0.000257 loss_cons: 0.000280 -2023-07-27 19:35:40,539 Test: [0/199] Time 6.302 (6.302) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-27 19:36:00,215 Test: [100/199] Time 0.202 (0.257) Loss 0.0002 (0.0002) Accuracy 0.902 (0.874) -2023-07-27 19:36:18,780 Test: [198/199] Time 0.136 (0.224) Loss 0.0002 (0.0002) Accuracy 0.942 (0.873) -2023-07-27 19:36:20,748 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 19:36:30,240 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:36:30,277 The Predictions of Net 1 -2023-07-27 19:36:30,278 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:36:30,278 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:36:30,278 | 256x192_pose_dual_101_d256d256d256 | 0.7345 | 0.9258 | 0.8139 | 0.7125 | 0.7749 | 0.7667 | 0.9372 | 0.8358 | 0.7359 | 0.8133 | -2023-07-27 19:36:30,973 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 19:36:35,799 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:36:35,835 The Predictions of Net 2 -2023-07-27 19:36:35,836 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:36:35,836 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:36:35,836 | 256x192_pose_dual_101_d256d256d256 | 0.7362 | 0.9261 | 0.8152 | 0.7139 | 0.7778 | 0.7687 | 0.9391 | 0.8375 | 0.7365 | 0.8175 | -2023-07-27 19:36:36,527 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 19:36:43,371 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:36:43,408 Ensemble Predictions -2023-07-27 19:36:43,409 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:36:43,409 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:36:43,410 | 256x192_pose_dual_101_d256d256d256 | 0.7485 | 0.9358 | 0.8252 | 0.7237 | 0.7874 | 0.7772 | 0.9402 | 0.8452 | 0.7464 | 0.8240 | -2023-07-27 19:36:43,411 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 19:36:51,946 Epoch: [161][0/631] Time 5.593s (5.593s) Speed 5.7 samples/s Data 3.892s (3.892s) Loss 0.000572 (0.000572) Accuracy 0.900 (0.900) loss_pose: 0.000223 loss_cons: 0.000349 -2023-07-27 19:39:29,731 Epoch: [161][100/631] Time 1.540s (1.618s) Speed 20.8 samples/s Data 0.000s (0.039s) Loss 0.000508 (0.000596) Accuracy 0.894 (0.885) loss_pose: 0.000175 loss_cons: 0.000333 -2023-07-27 19:42:05,398 Epoch: [161][200/631] Time 1.608s (1.587s) Speed 19.9 samples/s Data 0.000s (0.020s) Loss 0.000638 (0.000600) Accuracy 0.879 (0.883) loss_pose: 0.000206 loss_cons: 0.000432 -2023-07-27 19:44:41,894 Epoch: [161][300/631] Time 1.580s (1.580s) Speed 20.3 samples/s Data 0.000s (0.013s) Loss 0.000626 (0.000599) Accuracy 0.876 (0.884) loss_pose: 0.000231 loss_cons: 0.000395 -2023-07-27 19:47:17,861 Epoch: [161][400/631] Time 1.603s (1.575s) Speed 20.0 samples/s Data 0.000s (0.010s) Loss 0.000526 (0.000600) Accuracy 0.911 (0.885) loss_pose: 0.000185 loss_cons: 0.000341 -2023-07-27 19:49:53,510 Epoch: [161][500/631] Time 1.608s (1.571s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000522 (0.000598) Accuracy 0.926 (0.886) loss_pose: 0.000179 loss_cons: 0.000343 -2023-07-27 19:52:30,206 Epoch: [161][600/631] Time 1.506s (1.570s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000652 (0.000599) Accuracy 0.870 (0.886) loss_pose: 0.000243 loss_cons: 0.000409 -2023-07-27 19:53:15,814 Epoch: [161][630/631] Time 1.514s (1.568s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000631 (0.000599) Accuracy 0.861 (0.886) loss_pose: 0.000233 loss_cons: 0.000398 -2023-07-27 19:53:23,411 Test: [0/199] Time 5.599 (5.599) Loss 0.0002 (0.0002) Accuracy 0.898 (0.898) -2023-07-27 19:53:43,163 Test: [100/199] Time 0.202 (0.252) Loss 0.0002 (0.0002) Accuracy 0.897 (0.872) -2023-07-27 19:54:01,705 Test: [198/199] Time 0.133 (0.221) Loss 0.0002 (0.0002) Accuracy 0.942 (0.871) -2023-07-27 19:54:03,327 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 19:54:13,364 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:54:13,402 The Predictions of Net 1 -2023-07-27 19:54:13,403 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:54:13,404 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:54:13,404 | 256x192_pose_dual_101_d256d256d256 | 0.7356 | 0.9254 | 0.8149 | 0.7145 | 0.7774 | 0.7680 | 0.9373 | 0.8372 | 0.7379 | 0.8137 | -2023-07-27 19:54:14,096 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 19:54:18,821 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:54:18,855 The Predictions of Net 2 -2023-07-27 19:54:18,856 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:54:18,856 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:54:18,856 | 256x192_pose_dual_101_d256d256d256 | 0.7418 | 0.9257 | 0.8256 | 0.7173 | 0.7816 | 0.7721 | 0.9384 | 0.8427 | 0.7404 | 0.8204 | -2023-07-27 19:54:19,541 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 19:54:24,277 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 19:54:24,310 Ensemble Predictions -2023-07-27 19:54:24,311 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 19:54:24,311 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 19:54:24,311 | 256x192_pose_dual_101_d256d256d256 | 0.7494 | 0.9357 | 0.8267 | 0.7244 | 0.7886 | 0.7790 | 0.9418 | 0.8490 | 0.7475 | 0.8267 | -2023-07-27 19:54:24,312 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 19:54:33,743 Epoch: [162][0/631] Time 5.488s (5.488s) Speed 5.8 samples/s Data 3.769s (3.769s) Loss 0.000552 (0.000552) Accuracy 0.900 (0.900) loss_pose: 0.000188 loss_cons: 0.000364 -2023-07-27 19:57:09,323 Epoch: [162][100/631] Time 1.517s (1.595s) Speed 21.1 samples/s Data 0.000s (0.038s) Loss 0.000486 (0.000597) Accuracy 0.876 (0.884) loss_pose: 0.000213 loss_cons: 0.000273 -2023-07-27 19:59:44,558 Epoch: [162][200/631] Time 1.547s (1.574s) Speed 20.7 samples/s Data 0.000s (0.019s) Loss 0.000638 (0.000602) Accuracy 0.802 (0.882) loss_pose: 0.000271 loss_cons: 0.000367 -2023-07-27 20:02:19,325 Epoch: [162][300/631] Time 1.619s (1.565s) Speed 19.8 samples/s Data 0.000s (0.013s) Loss 0.000691 (0.000600) Accuracy 0.901 (0.883) loss_pose: 0.000191 loss_cons: 0.000500 -2023-07-27 20:04:54,498 Epoch: [162][400/631] Time 1.560s (1.562s) Speed 20.5 samples/s Data 0.000s (0.010s) Loss 0.000639 (0.000602) Accuracy 0.850 (0.884) loss_pose: 0.000271 loss_cons: 0.000368 -2023-07-27 20:07:29,652 Epoch: [162][500/631] Time 1.668s (1.560s) Speed 19.2 samples/s Data 0.000s (0.008s) Loss 0.000657 (0.000599) Accuracy 0.922 (0.885) loss_pose: 0.000203 loss_cons: 0.000454 -2023-07-27 20:10:04,517 Epoch: [162][600/631] Time 1.592s (1.558s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000617 (0.000600) Accuracy 0.889 (0.885) loss_pose: 0.000212 loss_cons: 0.000406 -2023-07-27 20:10:49,962 Epoch: [162][630/631] Time 1.510s (1.556s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000553 (0.000600) Accuracy 0.897 (0.885) loss_pose: 0.000215 loss_cons: 0.000338 -2023-07-27 20:10:56,883 Test: [0/199] Time 4.797 (4.797) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-27 20:11:17,171 Test: [100/199] Time 0.208 (0.250) Loss 0.0002 (0.0002) Accuracy 0.914 (0.873) -2023-07-27 20:11:35,903 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0002) Accuracy 0.937 (0.872) -2023-07-27 20:11:37,526 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 20:11:49,426 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:11:49,466 The Predictions of Net 1 -2023-07-27 20:11:49,468 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:11:49,469 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:11:49,469 | 256x192_pose_dual_101_d256d256d256 | 0.7370 | 0.9258 | 0.8146 | 0.7181 | 0.7744 | 0.7689 | 0.9388 | 0.8391 | 0.7406 | 0.8124 | -2023-07-27 20:11:50,159 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 20:11:54,983 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:11:55,019 The Predictions of Net 2 -2023-07-27 20:11:55,020 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:11:55,020 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:11:55,020 | 256x192_pose_dual_101_d256d256d256 | 0.7397 | 0.9258 | 0.8239 | 0.7174 | 0.7782 | 0.7713 | 0.9397 | 0.8412 | 0.7406 | 0.8178 | -2023-07-27 20:11:55,709 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 20:12:00,460 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:12:00,497 Ensemble Predictions -2023-07-27 20:12:00,498 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:12:00,498 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:12:00,498 | 256x192_pose_dual_101_d256d256d256 | 0.7493 | 0.9356 | 0.8259 | 0.7247 | 0.7873 | 0.7785 | 0.9418 | 0.8474 | 0.7486 | 0.8239 | -2023-07-27 20:12:00,499 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 20:12:09,337 Epoch: [163][0/631] Time 5.839s (5.839s) Speed 5.5 samples/s Data 4.126s (4.126s) Loss 0.000651 (0.000651) Accuracy 0.808 (0.808) loss_pose: 0.000265 loss_cons: 0.000386 -2023-07-27 20:14:43,395 Epoch: [163][100/631] Time 1.528s (1.583s) Speed 20.9 samples/s Data 0.000s (0.041s) Loss 0.000612 (0.000592) Accuracy 0.855 (0.884) loss_pose: 0.000236 loss_cons: 0.000376 -2023-07-27 20:17:19,451 Epoch: [163][200/631] Time 1.514s (1.572s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000595 (0.000596) Accuracy 0.898 (0.886) loss_pose: 0.000223 loss_cons: 0.000373 -2023-07-27 20:19:54,260 Epoch: [163][300/631] Time 1.509s (1.564s) Speed 21.2 samples/s Data 0.000s (0.014s) Loss 0.000632 (0.000595) Accuracy 0.906 (0.886) loss_pose: 0.000206 loss_cons: 0.000427 -2023-07-27 20:22:28,661 Epoch: [163][400/631] Time 1.518s (1.559s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000630 (0.000598) Accuracy 0.912 (0.887) loss_pose: 0.000213 loss_cons: 0.000417 -2023-07-27 20:25:03,673 Epoch: [163][500/631] Time 1.540s (1.557s) Speed 20.8 samples/s Data 0.000s (0.009s) Loss 0.000633 (0.000599) Accuracy 0.863 (0.887) loss_pose: 0.000223 loss_cons: 0.000410 -2023-07-27 20:27:38,286 Epoch: [163][600/631] Time 1.609s (1.555s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000662 (0.000600) Accuracy 0.891 (0.887) loss_pose: 0.000214 loss_cons: 0.000448 -2023-07-27 20:28:25,483 Epoch: [163][630/631] Time 1.504s (1.556s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000560 (0.000600) Accuracy 0.921 (0.887) loss_pose: 0.000188 loss_cons: 0.000372 -2023-07-27 20:28:32,313 Test: [0/199] Time 4.508 (4.508) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-27 20:28:53,259 Test: [100/199] Time 0.201 (0.255) Loss 0.0002 (0.0002) Accuracy 0.911 (0.874) -2023-07-27 20:29:11,951 Test: [198/199] Time 0.146 (0.223) Loss 0.0002 (0.0002) Accuracy 0.925 (0.871) -2023-07-27 20:29:13,886 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 20:29:23,784 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:29:23,822 The Predictions of Net 1 -2023-07-27 20:29:23,822 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:29:23,822 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:29:23,823 | 256x192_pose_dual_101_d256d256d256 | 0.7352 | 0.9258 | 0.8143 | 0.7136 | 0.7747 | 0.7680 | 0.9380 | 0.8385 | 0.7383 | 0.8134 | -2023-07-27 20:29:24,511 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 20:29:31,326 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:29:31,362 The Predictions of Net 2 -2023-07-27 20:29:31,363 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:29:31,364 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:29:31,364 | 256x192_pose_dual_101_d256d256d256 | 0.7393 | 0.9350 | 0.8142 | 0.7144 | 0.7777 | 0.7711 | 0.9406 | 0.8383 | 0.7400 | 0.8184 | -2023-07-27 20:29:32,052 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 20:29:36,780 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:29:36,812 Ensemble Predictions -2023-07-27 20:29:36,813 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:29:36,813 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:29:36,813 | 256x192_pose_dual_101_d256d256d256 | 0.7490 | 0.9359 | 0.8251 | 0.7251 | 0.7883 | 0.7795 | 0.9438 | 0.8484 | 0.7488 | 0.8262 | -2023-07-27 20:29:36,814 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 20:29:44,920 Epoch: [164][0/631] Time 4.900s (4.900s) Speed 6.5 samples/s Data 3.108s (3.108s) Loss 0.000619 (0.000619) Accuracy 0.898 (0.898) loss_pose: 0.000172 loss_cons: 0.000448 -2023-07-27 20:32:20,130 Epoch: [164][100/631] Time 1.518s (1.585s) Speed 21.1 samples/s Data 0.000s (0.031s) Loss 0.000550 (0.000602) Accuracy 0.899 (0.884) loss_pose: 0.000208 loss_cons: 0.000342 -2023-07-27 20:34:54,533 Epoch: [164][200/631] Time 1.591s (1.565s) Speed 20.1 samples/s Data 0.000s (0.016s) Loss 0.000529 (0.000602) Accuracy 0.953 (0.886) loss_pose: 0.000169 loss_cons: 0.000360 -2023-07-27 20:37:30,208 Epoch: [164][300/631] Time 1.519s (1.562s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000665 (0.000601) Accuracy 0.921 (0.885) loss_pose: 0.000187 loss_cons: 0.000478 -2023-07-27 20:40:04,007 Epoch: [164][400/631] Time 1.606s (1.556s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000601 (0.000601) Accuracy 0.925 (0.885) loss_pose: 0.000199 loss_cons: 0.000401 -2023-07-27 20:42:37,720 Epoch: [164][500/631] Time 1.617s (1.552s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000690 (0.000601) Accuracy 0.889 (0.885) loss_pose: 0.000232 loss_cons: 0.000458 -2023-07-27 20:45:12,447 Epoch: [164][600/631] Time 1.520s (1.551s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000614 (0.000602) Accuracy 0.880 (0.885) loss_pose: 0.000219 loss_cons: 0.000395 -2023-07-27 20:45:57,850 Epoch: [164][630/631] Time 1.508s (1.550s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000584 (0.000603) Accuracy 0.919 (0.885) loss_pose: 0.000194 loss_cons: 0.000390 -2023-07-27 20:46:05,820 Test: [0/199] Time 5.922 (5.922) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-27 20:46:25,664 Test: [100/199] Time 0.196 (0.255) Loss 0.0002 (0.0002) Accuracy 0.905 (0.876) -2023-07-27 20:46:44,306 Test: [198/199] Time 0.135 (0.223) Loss 0.0002 (0.0002) Accuracy 0.940 (0.873) -2023-07-27 20:46:46,111 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 20:46:54,554 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:46:54,629 The Predictions of Net 1 -2023-07-27 20:46:54,629 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:46:54,630 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:46:54,632 | 256x192_pose_dual_101_d256d256d256 | 0.7383 | 0.9261 | 0.8234 | 0.7154 | 0.7788 | 0.7701 | 0.9383 | 0.8401 | 0.7392 | 0.8172 | -2023-07-27 20:46:56,360 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 20:47:01,129 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:47:01,161 The Predictions of Net 2 -2023-07-27 20:47:01,162 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:47:01,163 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:47:01,163 | 256x192_pose_dual_101_d256d256d256 | 0.7404 | 0.9259 | 0.8248 | 0.7182 | 0.7817 | 0.7722 | 0.9399 | 0.8435 | 0.7405 | 0.8200 | -2023-07-27 20:47:01,852 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 20:47:08,780 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 20:47:08,818 Ensemble Predictions -2023-07-27 20:47:08,819 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 20:47:08,820 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 20:47:08,820 | 256x192_pose_dual_101_d256d256d256 | 0.7499 | 0.9355 | 0.8257 | 0.7266 | 0.7888 | 0.7792 | 0.9414 | 0.8500 | 0.7484 | 0.8256 | -2023-07-27 20:47:08,821 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 20:47:18,254 Epoch: [165][0/631] Time 5.246s (5.246s) Speed 6.1 samples/s Data 3.548s (3.548s) Loss 0.000552 (0.000552) Accuracy 0.883 (0.883) loss_pose: 0.000222 loss_cons: 0.000330 -2023-07-27 20:49:51,007 Epoch: [165][100/631] Time 1.514s (1.564s) Speed 21.1 samples/s Data 0.000s (0.036s) Loss 0.000596 (0.000600) Accuracy 0.902 (0.891) loss_pose: 0.000208 loss_cons: 0.000388 -2023-07-27 20:52:24,656 Epoch: [165][200/631] Time 1.519s (1.550s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000516 (0.000598) Accuracy 0.865 (0.890) loss_pose: 0.000219 loss_cons: 0.000297 -2023-07-27 20:54:58,666 Epoch: [165][300/631] Time 1.515s (1.547s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000688 (0.000598) Accuracy 0.894 (0.889) loss_pose: 0.000221 loss_cons: 0.000467 -2023-07-27 20:57:31,974 Epoch: [165][400/631] Time 1.522s (1.544s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000540 (0.000597) Accuracy 0.893 (0.888) loss_pose: 0.000170 loss_cons: 0.000370 -2023-07-27 21:00:05,657 Epoch: [165][500/631] Time 1.532s (1.542s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000603 (0.000599) Accuracy 0.857 (0.888) loss_pose: 0.000234 loss_cons: 0.000369 -2023-07-27 21:02:40,076 Epoch: [165][600/631] Time 1.611s (1.543s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000626 (0.000600) Accuracy 0.902 (0.888) loss_pose: 0.000210 loss_cons: 0.000416 -2023-07-27 21:03:26,462 Epoch: [165][630/631] Time 1.519s (1.543s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000528 (0.000599) Accuracy 0.935 (0.888) loss_pose: 0.000177 loss_cons: 0.000351 -2023-07-27 21:03:34,551 Test: [0/199] Time 6.182 (6.182) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-27 21:03:54,337 Test: [100/199] Time 0.197 (0.257) Loss 0.0002 (0.0002) Accuracy 0.907 (0.876) -2023-07-27 21:04:13,204 Test: [198/199] Time 0.243 (0.225) Loss 0.0002 (0.0002) Accuracy 0.913 (0.873) -2023-07-27 21:04:14,378 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 21:04:23,931 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:04:23,973 The Predictions of Net 1 -2023-07-27 21:04:23,973 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:04:23,974 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:04:23,975 | 256x192_pose_dual_101_d256d256d256 | 0.7410 | 0.9254 | 0.8235 | 0.7171 | 0.7802 | 0.7714 | 0.9369 | 0.8401 | 0.7409 | 0.8176 | -2023-07-27 21:04:24,675 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 21:04:29,457 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:04:29,490 The Predictions of Net 2 -2023-07-27 21:04:29,491 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:04:29,492 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:04:29,492 | 256x192_pose_dual_101_d256d256d256 | 0.7378 | 0.9256 | 0.8151 | 0.7146 | 0.7790 | 0.7699 | 0.9380 | 0.8380 | 0.7385 | 0.8173 | -2023-07-27 21:04:30,181 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 21:04:34,943 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:04:34,977 Ensemble Predictions -2023-07-27 21:04:34,977 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:04:34,978 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:04:34,978 | 256x192_pose_dual_101_d256d256d256 | 0.7504 | 0.9354 | 0.8261 | 0.7255 | 0.7885 | 0.7796 | 0.9408 | 0.8482 | 0.7491 | 0.8259 | -2023-07-27 21:04:34,979 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 21:04:44,236 Epoch: [166][0/631] Time 5.254s (5.254s) Speed 6.1 samples/s Data 3.547s (3.547s) Loss 0.000509 (0.000509) Accuracy 0.867 (0.867) loss_pose: 0.000223 loss_cons: 0.000286 -2023-07-27 21:07:20,284 Epoch: [166][100/631] Time 1.521s (1.597s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000636 (0.000594) Accuracy 0.881 (0.884) loss_pose: 0.000232 loss_cons: 0.000404 -2023-07-27 21:09:53,677 Epoch: [166][200/631] Time 1.517s (1.566s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000554 (0.000599) Accuracy 0.898 (0.886) loss_pose: 0.000207 loss_cons: 0.000347 -2023-07-27 21:12:27,415 Epoch: [166][300/631] Time 1.520s (1.556s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000706 (0.000598) Accuracy 0.872 (0.887) loss_pose: 0.000225 loss_cons: 0.000481 -2023-07-27 21:15:01,050 Epoch: [166][400/631] Time 1.528s (1.551s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000628 (0.000600) Accuracy 0.821 (0.886) loss_pose: 0.000231 loss_cons: 0.000398 -2023-07-27 21:17:34,820 Epoch: [166][500/631] Time 1.522s (1.549s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000594 (0.000600) Accuracy 0.874 (0.886) loss_pose: 0.000216 loss_cons: 0.000378 -2023-07-27 21:20:16,307 Epoch: [166][600/631] Time 1.608s (1.560s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000620 (0.000600) Accuracy 0.853 (0.886) loss_pose: 0.000196 loss_cons: 0.000424 -2023-07-27 21:21:04,494 Epoch: [166][630/631] Time 1.619s (1.562s) Speed 19.8 samples/s Data 0.000s (0.006s) Loss 0.000531 (0.000600) Accuracy 0.907 (0.886) loss_pose: 0.000179 loss_cons: 0.000352 -2023-07-27 21:21:10,803 Test: [0/199] Time 3.873 (3.873) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-27 21:21:31,587 Test: [100/199] Time 0.198 (0.247) Loss 0.0002 (0.0002) Accuracy 0.901 (0.875) -2023-07-27 21:21:50,109 Test: [198/199] Time 0.133 (0.218) Loss 0.0002 (0.0002) Accuracy 0.921 (0.873) -2023-07-27 21:21:51,099 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 21:22:00,970 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:22:01,063 The Predictions of Net 1 -2023-07-27 21:22:01,065 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:22:01,067 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:22:01,067 | 256x192_pose_dual_101_d256d256d256 | 0.7349 | 0.9257 | 0.8146 | 0.7131 | 0.7719 | 0.7666 | 0.9359 | 0.8369 | 0.7373 | 0.8112 | -2023-07-27 21:22:01,840 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 21:22:06,726 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:22:06,767 The Predictions of Net 2 -2023-07-27 21:22:06,768 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:22:06,768 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:22:06,768 | 256x192_pose_dual_101_d256d256d256 | 0.7362 | 0.9258 | 0.8149 | 0.7118 | 0.7762 | 0.7676 | 0.9370 | 0.8374 | 0.7362 | 0.8146 | -2023-07-27 21:22:07,468 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 21:22:12,314 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:22:12,352 Ensemble Predictions -2023-07-27 21:22:12,353 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:22:12,354 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:22:12,354 | 256x192_pose_dual_101_d256d256d256 | 0.7463 | 0.9263 | 0.8258 | 0.7245 | 0.7845 | 0.7762 | 0.9391 | 0.8478 | 0.7456 | 0.8225 | -2023-07-27 21:22:12,354 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 21:22:21,035 Epoch: [167][0/631] Time 5.578s (5.578s) Speed 5.7 samples/s Data 3.875s (3.875s) Loss 0.000585 (0.000585) Accuracy 0.906 (0.906) loss_pose: 0.000192 loss_cons: 0.000393 -2023-07-27 21:25:03,517 Epoch: [167][100/631] Time 1.523s (1.664s) Speed 21.0 samples/s Data 0.000s (0.039s) Loss 0.000550 (0.000593) Accuracy 0.877 (0.886) loss_pose: 0.000209 loss_cons: 0.000341 -2023-07-27 21:27:46,865 Epoch: [167][200/631] Time 1.520s (1.649s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000537 (0.000599) Accuracy 0.863 (0.886) loss_pose: 0.000217 loss_cons: 0.000319 -2023-07-27 21:30:21,151 Epoch: [167][300/631] Time 1.545s (1.614s) Speed 20.7 samples/s Data 0.001s (0.013s) Loss 0.000686 (0.000599) Accuracy 0.847 (0.886) loss_pose: 0.000215 loss_cons: 0.000471 -2023-07-27 21:32:55,470 Epoch: [167][400/631] Time 1.555s (1.596s) Speed 20.6 samples/s Data 0.000s (0.010s) Loss 0.000670 (0.000599) Accuracy 0.918 (0.887) loss_pose: 0.000186 loss_cons: 0.000484 -2023-07-27 21:35:29,790 Epoch: [167][500/631] Time 1.580s (1.585s) Speed 20.2 samples/s Data 0.000s (0.008s) Loss 0.000538 (0.000600) Accuracy 0.841 (0.887) loss_pose: 0.000199 loss_cons: 0.000338 -2023-07-27 21:38:03,448 Epoch: [167][600/631] Time 1.512s (1.577s) Speed 21.2 samples/s Data 0.001s (0.007s) Loss 0.000616 (0.000600) Accuracy 0.886 (0.886) loss_pose: 0.000228 loss_cons: 0.000389 -2023-07-27 21:38:48,839 Epoch: [167][630/631] Time 1.510s (1.574s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000611 (0.000599) Accuracy 0.870 (0.886) loss_pose: 0.000206 loss_cons: 0.000405 -2023-07-27 21:38:56,975 Test: [0/199] Time 6.154 (6.154) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-27 21:39:16,771 Test: [100/199] Time 0.205 (0.257) Loss 0.0002 (0.0002) Accuracy 0.910 (0.876) -2023-07-27 21:39:35,510 Test: [198/199] Time 0.198 (0.225) Loss 0.0002 (0.0002) Accuracy 0.914 (0.874) -2023-07-27 21:39:37,116 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 21:39:48,843 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:39:48,880 The Predictions of Net 1 -2023-07-27 21:39:48,881 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:39:48,881 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:39:48,882 | 256x192_pose_dual_101_d256d256d256 | 0.7375 | 0.9261 | 0.8236 | 0.7143 | 0.7766 | 0.7699 | 0.9389 | 0.8401 | 0.7391 | 0.8164 | -2023-07-27 21:39:49,583 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 21:39:54,547 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:39:54,586 The Predictions of Net 2 -2023-07-27 21:39:54,587 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:39:54,587 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:39:54,588 | 256x192_pose_dual_101_d256d256d256 | 0.7368 | 0.9258 | 0.8235 | 0.7132 | 0.7767 | 0.7680 | 0.9370 | 0.8405 | 0.7368 | 0.8151 | -2023-07-27 21:39:55,289 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 21:40:00,172 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:40:00,208 Ensemble Predictions -2023-07-27 21:40:00,209 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:40:00,209 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:40:00,209 | 256x192_pose_dual_101_d256d256d256 | 0.7471 | 0.9357 | 0.8262 | 0.7246 | 0.7862 | 0.7775 | 0.9411 | 0.8500 | 0.7475 | 0.8230 | -2023-07-27 21:40:00,210 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 21:40:08,427 Epoch: [168][0/631] Time 5.272s (5.272s) Speed 6.1 samples/s Data 3.594s (3.594s) Loss 0.000546 (0.000546) Accuracy 0.907 (0.907) loss_pose: 0.000203 loss_cons: 0.000343 -2023-07-27 21:42:44,323 Epoch: [168][100/631] Time 1.590s (1.596s) Speed 20.1 samples/s Data 0.000s (0.036s) Loss 0.000534 (0.000592) Accuracy 0.897 (0.887) loss_pose: 0.000213 loss_cons: 0.000321 -2023-07-27 21:45:20,349 Epoch: [168][200/631] Time 1.606s (1.578s) Speed 19.9 samples/s Data 0.000s (0.018s) Loss 0.000681 (0.000593) Accuracy 0.862 (0.887) loss_pose: 0.000227 loss_cons: 0.000454 -2023-07-27 21:47:56,171 Epoch: [168][300/631] Time 1.596s (1.571s) Speed 20.0 samples/s Data 0.000s (0.012s) Loss 0.000698 (0.000599) Accuracy 0.889 (0.886) loss_pose: 0.000218 loss_cons: 0.000480 -2023-07-27 21:50:31,413 Epoch: [168][400/631] Time 1.516s (1.567s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000591 (0.000601) Accuracy 0.898 (0.887) loss_pose: 0.000219 loss_cons: 0.000372 -2023-07-27 21:53:07,421 Epoch: [168][500/631] Time 1.516s (1.565s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000560 (0.000600) Accuracy 0.879 (0.887) loss_pose: 0.000194 loss_cons: 0.000366 -2023-07-27 21:55:41,967 Epoch: [168][600/631] Time 1.513s (1.562s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000623 (0.000599) Accuracy 0.899 (0.887) loss_pose: 0.000222 loss_cons: 0.000401 -2023-07-27 21:56:27,340 Epoch: [168][630/631] Time 1.504s (1.560s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000610 (0.000600) Accuracy 0.872 (0.887) loss_pose: 0.000245 loss_cons: 0.000366 -2023-07-27 21:56:35,261 Test: [0/199] Time 5.455 (5.455) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-27 21:56:55,412 Test: [100/199] Time 0.218 (0.254) Loss 0.0002 (0.0002) Accuracy 0.921 (0.875) -2023-07-27 21:57:14,356 Test: [198/199] Time 0.268 (0.224) Loss 0.0002 (0.0002) Accuracy 0.927 (0.872) -2023-07-27 21:57:16,066 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 21:57:25,865 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:57:25,905 The Predictions of Net 1 -2023-07-27 21:57:25,906 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:57:25,906 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:57:25,906 | 256x192_pose_dual_101_d256d256d256 | 0.7359 | 0.9254 | 0.8159 | 0.7118 | 0.7766 | 0.7670 | 0.9345 | 0.8389 | 0.7362 | 0.8139 | -2023-07-27 21:57:26,599 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 21:57:33,558 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:57:33,594 The Predictions of Net 2 -2023-07-27 21:57:33,594 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:57:33,595 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:57:33,595 | 256x192_pose_dual_101_d256d256d256 | 0.7396 | 0.9258 | 0.8246 | 0.7161 | 0.7779 | 0.7700 | 0.9392 | 0.8427 | 0.7395 | 0.8163 | -2023-07-27 21:57:34,282 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 21:57:39,043 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 21:57:39,080 Ensemble Predictions -2023-07-27 21:57:39,081 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 21:57:39,081 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 21:57:39,081 | 256x192_pose_dual_101_d256d256d256 | 0.7506 | 0.9354 | 0.8351 | 0.7237 | 0.7874 | 0.7785 | 0.9406 | 0.8512 | 0.7478 | 0.8253 | -2023-07-27 21:57:39,082 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 21:57:47,199 Epoch: [169][0/631] Time 5.163s (5.163s) Speed 6.2 samples/s Data 3.488s (3.488s) Loss 0.000669 (0.000669) Accuracy 0.872 (0.872) loss_pose: 0.000193 loss_cons: 0.000476 -2023-07-27 22:00:23,138 Epoch: [169][100/631] Time 1.513s (1.595s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000614 (0.000592) Accuracy 0.894 (0.894) loss_pose: 0.000204 loss_cons: 0.000410 -2023-07-27 22:02:57,496 Epoch: [169][200/631] Time 1.516s (1.569s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000589 (0.000594) Accuracy 0.885 (0.891) loss_pose: 0.000205 loss_cons: 0.000384 -2023-07-27 22:05:32,533 Epoch: [169][300/631] Time 1.527s (1.563s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000643 (0.000598) Accuracy 0.903 (0.891) loss_pose: 0.000185 loss_cons: 0.000458 -2023-07-27 22:08:07,410 Epoch: [169][400/631] Time 1.560s (1.560s) Speed 20.5 samples/s Data 0.000s (0.009s) Loss 0.000610 (0.000598) Accuracy 0.897 (0.890) loss_pose: 0.000199 loss_cons: 0.000411 -2023-07-27 22:10:41,290 Epoch: [169][500/631] Time 1.513s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000592 (0.000598) Accuracy 0.899 (0.889) loss_pose: 0.000216 loss_cons: 0.000376 -2023-07-27 22:13:14,631 Epoch: [169][600/631] Time 1.508s (1.552s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000823 (0.000627) Accuracy 0.798 (0.881) loss_pose: 0.000282 loss_cons: 0.000542 -2023-07-27 22:14:00,021 Epoch: [169][630/631] Time 1.524s (1.550s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000627 (0.000629) Accuracy 0.892 (0.880) loss_pose: 0.000213 loss_cons: 0.000414 -2023-07-27 22:14:08,056 Test: [0/199] Time 5.839 (5.839) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-27 22:14:28,118 Test: [100/199] Time 0.200 (0.257) Loss 0.0002 (0.0002) Accuracy 0.886 (0.861) -2023-07-27 22:14:46,899 Test: [198/199] Time 0.153 (0.225) Loss 0.0002 (0.0002) Accuracy 0.906 (0.859) -2023-07-27 22:14:48,689 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 22:14:58,293 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:14:58,334 The Predictions of Net 1 -2023-07-27 22:14:58,335 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:14:58,336 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:14:58,336 | 256x192_pose_dual_101_d256d256d256 | 0.7135 | 0.9158 | 0.7926 | 0.6868 | 0.7541 | 0.7447 | 0.9265 | 0.8125 | 0.7112 | 0.7948 | -2023-07-27 22:14:59,044 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 22:15:03,921 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:15:03,963 The Predictions of Net 2 -2023-07-27 22:15:03,963 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:15:03,964 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:15:03,964 | 256x192_pose_dual_101_d256d256d256 | 0.7353 | 0.9261 | 0.8162 | 0.7131 | 0.7769 | 0.7675 | 0.9389 | 0.8378 | 0.7360 | 0.8148 | -2023-07-27 22:15:04,657 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 22:15:09,473 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:15:09,510 Ensemble Predictions -2023-07-27 22:15:09,510 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:15:09,511 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:15:09,511 | 256x192_pose_dual_101_d256d256d256 | 0.7375 | 0.9262 | 0.8162 | 0.7140 | 0.7787 | 0.7683 | 0.9361 | 0.8375 | 0.7357 | 0.8173 | -2023-07-27 22:15:09,512 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 22:15:18,414 Epoch: [170][0/631] Time 5.858s (5.858s) Speed 5.5 samples/s Data 4.141s (4.141s) Loss 0.000714 (0.000714) Accuracy 0.875 (0.875) loss_pose: 0.000249 loss_cons: 0.000465 -2023-07-27 22:17:55,839 Epoch: [170][100/631] Time 1.529s (1.617s) Speed 20.9 samples/s Data 0.000s (0.041s) Loss 0.000620 (0.000653) Accuracy 0.904 (0.873) loss_pose: 0.000206 loss_cons: 0.000414 -2023-07-27 22:20:29,679 Epoch: [170][200/631] Time 1.520s (1.578s) Speed 21.0 samples/s Data 0.001s (0.021s) Loss 0.000621 (0.000644) Accuracy 0.799 (0.876) loss_pose: 0.000248 loss_cons: 0.000373 -2023-07-27 22:23:04,095 Epoch: [170][300/631] Time 1.525s (1.567s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000623 (0.000641) Accuracy 0.846 (0.876) loss_pose: 0.000231 loss_cons: 0.000392 -2023-07-27 22:25:38,718 Epoch: [170][400/631] Time 1.545s (1.562s) Speed 20.7 samples/s Data 0.000s (0.011s) Loss 0.000538 (0.000637) Accuracy 0.886 (0.876) loss_pose: 0.000209 loss_cons: 0.000329 -2023-07-27 22:28:12,969 Epoch: [170][500/631] Time 1.513s (1.558s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000603 (0.000632) Accuracy 0.888 (0.877) loss_pose: 0.000235 loss_cons: 0.000368 -2023-07-27 22:30:46,723 Epoch: [170][600/631] Time 1.513s (1.554s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000608 (0.000627) Accuracy 0.951 (0.880) loss_pose: 0.000164 loss_cons: 0.000444 -2023-07-27 22:31:32,217 Epoch: [170][630/631] Time 1.506s (1.553s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000627 (0.000627) Accuracy 0.922 (0.880) loss_pose: 0.000225 loss_cons: 0.000401 -2023-07-27 22:31:39,473 Test: [0/199] Time 4.909 (4.909) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-27 22:31:59,949 Test: [100/199] Time 0.211 (0.254) Loss 0.0002 (0.0002) Accuracy 0.929 (0.871) -2023-07-27 22:32:18,739 Test: [198/199] Time 0.139 (0.223) Loss 0.0002 (0.0002) Accuracy 0.958 (0.870) -2023-07-27 22:32:20,433 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 22:32:30,109 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:32:30,149 The Predictions of Net 1 -2023-07-27 22:32:30,150 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:32:30,150 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:32:30,150 | 256x192_pose_dual_101_d256d256d256 | 0.7344 | 0.9258 | 0.8144 | 0.7104 | 0.7740 | 0.7653 | 0.9361 | 0.8352 | 0.7332 | 0.8135 | -2023-07-27 22:32:30,848 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 22:32:35,747 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:32:35,786 The Predictions of Net 2 -2023-07-27 22:32:35,787 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:32:35,788 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:32:35,788 | 256x192_pose_dual_101_d256d256d256 | 0.7401 | 0.9258 | 0.8238 | 0.7171 | 0.7795 | 0.7709 | 0.9399 | 0.8402 | 0.7395 | 0.8181 | -2023-07-27 22:32:36,476 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 22:32:41,303 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:32:41,338 Ensemble Predictions -2023-07-27 22:32:41,339 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:32:41,339 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:32:41,339 | 256x192_pose_dual_101_d256d256d256 | 0.7479 | 0.9359 | 0.8263 | 0.7217 | 0.7877 | 0.7774 | 0.9418 | 0.8473 | 0.7458 | 0.8249 | -2023-07-27 22:32:41,340 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 22:32:50,546 Epoch: [171][0/631] Time 6.225s (6.225s) Speed 5.1 samples/s Data 4.500s (4.500s) Loss 0.000645 (0.000645) Accuracy 0.867 (0.867) loss_pose: 0.000225 loss_cons: 0.000420 -2023-07-27 22:35:24,883 Epoch: [171][100/631] Time 1.516s (1.590s) Speed 21.1 samples/s Data 0.000s (0.045s) Loss 0.000554 (0.000602) Accuracy 0.896 (0.885) loss_pose: 0.000223 loss_cons: 0.000331 -2023-07-27 22:37:59,694 Epoch: [171][200/631] Time 1.525s (1.569s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000611 (0.000604) Accuracy 0.926 (0.885) loss_pose: 0.000154 loss_cons: 0.000458 -2023-07-27 22:40:34,657 Epoch: [171][300/631] Time 1.560s (1.563s) Speed 20.5 samples/s Data 0.000s (0.015s) Loss 0.000721 (0.000601) Accuracy 0.882 (0.884) loss_pose: 0.000274 loss_cons: 0.000447 -2023-07-27 22:43:10,128 Epoch: [171][400/631] Time 1.531s (1.561s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000615 (0.000603) Accuracy 0.884 (0.884) loss_pose: 0.000211 loss_cons: 0.000404 -2023-07-27 22:45:43,783 Epoch: [171][500/631] Time 1.527s (1.556s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000650 (0.000604) Accuracy 0.898 (0.885) loss_pose: 0.000213 loss_cons: 0.000436 -2023-07-27 22:48:17,944 Epoch: [171][600/631] Time 1.512s (1.553s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000676 (0.000604) Accuracy 0.885 (0.886) loss_pose: 0.000227 loss_cons: 0.000448 -2023-07-27 22:49:03,390 Epoch: [171][630/631] Time 1.509s (1.552s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000562 (0.000604) Accuracy 0.875 (0.886) loss_pose: 0.000215 loss_cons: 0.000347 -2023-07-27 22:49:11,006 Test: [0/199] Time 5.424 (5.424) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-27 22:49:31,095 Test: [100/199] Time 0.193 (0.253) Loss 0.0002 (0.0002) Accuracy 0.909 (0.875) -2023-07-27 22:49:49,976 Test: [198/199] Time 0.229 (0.223) Loss 0.0002 (0.0002) Accuracy 0.897 (0.873) -2023-07-27 22:49:51,330 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 22:50:02,889 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:50:02,927 The Predictions of Net 1 -2023-07-27 22:50:02,928 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:50:02,929 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:50:02,929 | 256x192_pose_dual_101_d256d256d256 | 0.7369 | 0.9260 | 0.8147 | 0.7167 | 0.7780 | 0.7688 | 0.9370 | 0.8375 | 0.7379 | 0.8155 | -2023-07-27 22:50:03,617 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 22:50:08,369 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:50:08,409 The Predictions of Net 2 -2023-07-27 22:50:08,409 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:50:08,410 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:50:08,410 | 256x192_pose_dual_101_d256d256d256 | 0.7386 | 0.9258 | 0.8239 | 0.7154 | 0.7796 | 0.7700 | 0.9386 | 0.8404 | 0.7386 | 0.8177 | -2023-07-27 22:50:09,101 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 22:50:13,861 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 22:50:13,894 Ensemble Predictions -2023-07-27 22:50:13,895 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 22:50:13,895 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 22:50:13,895 | 256x192_pose_dual_101_d256d256d256 | 0.7504 | 0.9357 | 0.8268 | 0.7246 | 0.7896 | 0.7791 | 0.9405 | 0.8482 | 0.7472 | 0.8273 | -2023-07-27 22:50:13,896 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 22:50:22,241 Epoch: [172][0/631] Time 5.379s (5.379s) Speed 5.9 samples/s Data 3.661s (3.661s) Loss 0.000579 (0.000579) Accuracy 0.927 (0.927) loss_pose: 0.000180 loss_cons: 0.000400 -2023-07-27 22:52:57,960 Epoch: [172][100/631] Time 1.517s (1.595s) Speed 21.1 samples/s Data 0.001s (0.037s) Loss 0.000545 (0.000595) Accuracy 0.874 (0.888) loss_pose: 0.000202 loss_cons: 0.000343 -2023-07-27 22:55:33,180 Epoch: [172][200/631] Time 1.521s (1.574s) Speed 21.0 samples/s Data 0.000s (0.019s) Loss 0.000641 (0.000597) Accuracy 0.851 (0.885) loss_pose: 0.000235 loss_cons: 0.000406 -2023-07-27 22:58:07,411 Epoch: [172][300/631] Time 1.583s (1.563s) Speed 20.2 samples/s Data 0.000s (0.013s) Loss 0.000849 (0.000601) Accuracy 0.836 (0.885) loss_pose: 0.000278 loss_cons: 0.000571 -2023-07-27 23:00:42,691 Epoch: [172][400/631] Time 1.580s (1.561s) Speed 20.3 samples/s Data 0.000s (0.010s) Loss 0.000630 (0.000597) Accuracy 0.819 (0.885) loss_pose: 0.000228 loss_cons: 0.000402 -2023-07-27 23:03:18,177 Epoch: [172][500/631] Time 1.521s (1.560s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000516 (0.000598) Accuracy 0.878 (0.885) loss_pose: 0.000199 loss_cons: 0.000316 -2023-07-27 23:05:52,896 Epoch: [172][600/631] Time 1.511s (1.557s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000639 (0.000599) Accuracy 0.843 (0.886) loss_pose: 0.000214 loss_cons: 0.000425 -2023-07-27 23:06:38,257 Epoch: [172][630/631] Time 1.506s (1.555s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000695 (0.000600) Accuracy 0.881 (0.886) loss_pose: 0.000224 loss_cons: 0.000471 -2023-07-27 23:06:46,433 Test: [0/199] Time 6.085 (6.085) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-27 23:07:06,222 Test: [100/199] Time 0.201 (0.256) Loss 0.0002 (0.0002) Accuracy 0.909 (0.876) -2023-07-27 23:07:25,051 Test: [198/199] Time 0.236 (0.225) Loss 0.0002 (0.0002) Accuracy 0.922 (0.873) -2023-07-27 23:07:26,605 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 23:07:35,659 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:07:35,698 The Predictions of Net 1 -2023-07-27 23:07:35,700 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:07:35,701 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:07:35,701 | 256x192_pose_dual_101_d256d256d256 | 0.7386 | 0.9258 | 0.8147 | 0.7143 | 0.7806 | 0.7692 | 0.9370 | 0.8350 | 0.7358 | 0.8194 | -2023-07-27 23:07:36,406 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 23:07:43,238 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:07:43,274 The Predictions of Net 2 -2023-07-27 23:07:43,275 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:07:43,275 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:07:43,275 | 256x192_pose_dual_101_d256d256d256 | 0.7433 | 0.9258 | 0.8251 | 0.7178 | 0.7827 | 0.7732 | 0.9378 | 0.8443 | 0.7416 | 0.8214 | -2023-07-27 23:07:43,961 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 23:07:48,727 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:07:48,763 Ensemble Predictions -2023-07-27 23:07:48,763 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:07:48,764 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:07:48,764 | 256x192_pose_dual_101_d256d256d256 | 0.7520 | 0.9356 | 0.8271 | 0.7278 | 0.7936 | 0.7808 | 0.9400 | 0.8498 | 0.7483 | 0.8301 | -2023-07-27 23:07:48,765 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 23:07:57,855 Epoch: [173][0/631] Time 5.177s (5.177s) Speed 6.2 samples/s Data 3.436s (3.436s) Loss 0.000563 (0.000563) Accuracy 0.868 (0.868) loss_pose: 0.000217 loss_cons: 0.000345 -2023-07-27 23:10:33,874 Epoch: [173][100/631] Time 1.513s (1.596s) Speed 21.1 samples/s Data 0.000s (0.034s) Loss 0.000612 (0.000590) Accuracy 0.853 (0.887) loss_pose: 0.000243 loss_cons: 0.000369 -2023-07-27 23:13:08,415 Epoch: [173][200/631] Time 1.522s (1.571s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000588 (0.000594) Accuracy 0.879 (0.885) loss_pose: 0.000216 loss_cons: 0.000372 -2023-07-27 23:15:43,031 Epoch: [173][300/631] Time 1.528s (1.563s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000652 (0.000596) Accuracy 0.896 (0.884) loss_pose: 0.000204 loss_cons: 0.000448 -2023-07-27 23:18:18,769 Epoch: [173][400/631] Time 1.525s (1.561s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000611 (0.000597) Accuracy 0.874 (0.886) loss_pose: 0.000209 loss_cons: 0.000402 -2023-07-27 23:20:53,952 Epoch: [173][500/631] Time 1.512s (1.559s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000621 (0.000596) Accuracy 0.840 (0.886) loss_pose: 0.000216 loss_cons: 0.000405 -2023-07-27 23:23:28,844 Epoch: [173][600/631] Time 1.505s (1.558s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000533 (0.000597) Accuracy 0.908 (0.887) loss_pose: 0.000188 loss_cons: 0.000345 -2023-07-27 23:24:15,025 Epoch: [173][630/631] Time 1.608s (1.557s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000543 (0.000597) Accuracy 0.918 (0.887) loss_pose: 0.000191 loss_cons: 0.000351 -2023-07-27 23:24:22,835 Test: [0/199] Time 5.621 (5.621) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-27 23:24:42,877 Test: [100/199] Time 0.210 (0.255) Loss 0.0002 (0.0002) Accuracy 0.921 (0.876) -2023-07-27 23:25:01,833 Test: [198/199] Time 0.284 (0.224) Loss 0.0002 (0.0002) Accuracy 0.955 (0.872) -2023-07-27 23:25:03,235 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 23:25:12,315 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:25:12,355 The Predictions of Net 1 -2023-07-27 23:25:12,356 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:25:12,357 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:25:12,357 | 256x192_pose_dual_101_d256d256d256 | 0.7368 | 0.9259 | 0.8155 | 0.7129 | 0.7769 | 0.7682 | 0.9384 | 0.8389 | 0.7365 | 0.8166 | -2023-07-27 23:25:13,063 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 23:25:17,867 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:25:17,904 The Predictions of Net 2 -2023-07-27 23:25:17,905 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:25:17,905 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:25:17,905 | 256x192_pose_dual_101_d256d256d256 | 0.7378 | 0.9261 | 0.8228 | 0.7157 | 0.7775 | 0.7702 | 0.9397 | 0.8412 | 0.7398 | 0.8161 | -2023-07-27 23:25:18,594 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 23:25:25,450 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:25:25,485 Ensemble Predictions -2023-07-27 23:25:25,486 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:25:25,486 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:25:25,487 | 256x192_pose_dual_101_d256d256d256 | 0.7505 | 0.9359 | 0.8346 | 0.7254 | 0.7882 | 0.7791 | 0.9419 | 0.8506 | 0.7483 | 0.8257 | -2023-07-27 23:25:25,488 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 23:25:33,949 Epoch: [174][0/631] Time 5.239s (5.239s) Speed 6.1 samples/s Data 3.535s (3.535s) Loss 0.000527 (0.000527) Accuracy 0.882 (0.882) loss_pose: 0.000215 loss_cons: 0.000312 -2023-07-27 23:28:09,152 Epoch: [174][100/631] Time 1.519s (1.589s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000617 (0.000596) Accuracy 0.877 (0.888) loss_pose: 0.000232 loss_cons: 0.000385 -2023-07-27 23:30:43,127 Epoch: [174][200/631] Time 1.520s (1.564s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000588 (0.000596) Accuracy 0.886 (0.887) loss_pose: 0.000208 loss_cons: 0.000380 -2023-07-27 23:33:18,305 Epoch: [174][300/631] Time 1.509s (1.560s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000616 (0.000598) Accuracy 0.834 (0.887) loss_pose: 0.000212 loss_cons: 0.000404 -2023-07-27 23:35:52,785 Epoch: [174][400/631] Time 1.515s (1.556s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000639 (0.000597) Accuracy 0.877 (0.887) loss_pose: 0.000219 loss_cons: 0.000420 -2023-07-27 23:38:27,532 Epoch: [174][500/631] Time 1.521s (1.555s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000597 (0.000598) Accuracy 0.860 (0.887) loss_pose: 0.000212 loss_cons: 0.000384 -2023-07-27 23:41:01,993 Epoch: [174][600/631] Time 1.504s (1.553s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000568 (0.000598) Accuracy 0.892 (0.887) loss_pose: 0.000193 loss_cons: 0.000375 -2023-07-27 23:41:47,385 Epoch: [174][630/631] Time 1.512s (1.551s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000597 (0.000598) Accuracy 0.910 (0.887) loss_pose: 0.000197 loss_cons: 0.000400 -2023-07-27 23:41:55,185 Test: [0/199] Time 5.799 (5.799) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-27 23:42:15,151 Test: [100/199] Time 0.198 (0.255) Loss 0.0002 (0.0002) Accuracy 0.918 (0.875) -2023-07-27 23:42:33,819 Test: [198/199] Time 0.141 (0.224) Loss 0.0002 (0.0002) Accuracy 0.919 (0.872) -2023-07-27 23:42:35,804 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-27 23:42:45,544 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:42:45,582 The Predictions of Net 1 -2023-07-27 23:42:45,582 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:42:45,583 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:42:45,583 | 256x192_pose_dual_101_d256d256d256 | 0.7365 | 0.9256 | 0.8149 | 0.7156 | 0.7788 | 0.7686 | 0.9367 | 0.8361 | 0.7369 | 0.8167 | -2023-07-27 23:42:46,273 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-27 23:42:51,029 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:42:51,061 The Predictions of Net 2 -2023-07-27 23:42:51,062 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:42:51,063 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:42:51,063 | 256x192_pose_dual_101_d256d256d256 | 0.7389 | 0.9258 | 0.8245 | 0.7165 | 0.7796 | 0.7697 | 0.9389 | 0.8424 | 0.7381 | 0.8177 | -2023-07-27 23:42:51,760 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-27 23:42:56,503 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-27 23:42:56,537 Ensemble Predictions -2023-07-27 23:42:56,538 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-27 23:42:56,538 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-27 23:42:56,538 | 256x192_pose_dual_101_d256d256d256 | 0.7508 | 0.9358 | 0.8273 | 0.7239 | 0.7910 | 0.7789 | 0.9414 | 0.8489 | 0.7471 | 0.8271 | -2023-07-27 23:42:56,539 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-27 23:43:04,634 Epoch: [175][0/631] Time 5.180s (5.180s) Speed 6.2 samples/s Data 3.452s (3.452s) Loss 0.000567 (0.000567) Accuracy 0.873 (0.873) loss_pose: 0.000190 loss_cons: 0.000377 -2023-07-27 23:45:40,723 Epoch: [175][100/631] Time 1.529s (1.597s) Speed 20.9 samples/s Data 0.000s (0.035s) Loss 0.000549 (0.000595) Accuracy 0.866 (0.886) loss_pose: 0.000221 loss_cons: 0.000328 -2023-07-27 23:48:15,938 Epoch: [175][200/631] Time 1.530s (1.575s) Speed 20.9 samples/s Data 0.000s (0.018s) Loss 0.000549 (0.000597) Accuracy 0.894 (0.886) loss_pose: 0.000182 loss_cons: 0.000367 -2023-07-27 23:50:50,494 Epoch: [175][300/631] Time 1.519s (1.565s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000588 (0.000596) Accuracy 0.924 (0.887) loss_pose: 0.000194 loss_cons: 0.000394 -2023-07-27 23:53:24,906 Epoch: [175][400/631] Time 1.533s (1.560s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000601 (0.000598) Accuracy 0.872 (0.887) loss_pose: 0.000246 loss_cons: 0.000354 -2023-07-27 23:55:59,637 Epoch: [175][500/631] Time 1.525s (1.557s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000605 (0.000597) Accuracy 0.920 (0.886) loss_pose: 0.000178 loss_cons: 0.000427 -2023-07-27 23:58:37,498 Epoch: [175][600/631] Time 1.513s (1.561s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000587 (0.000597) Accuracy 0.896 (0.886) loss_pose: 0.000219 loss_cons: 0.000368 -2023-07-27 23:59:22,940 Epoch: [175][630/631] Time 1.524s (1.559s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000598 (0.000597) Accuracy 0.823 (0.887) loss_pose: 0.000258 loss_cons: 0.000340 -2023-07-27 23:59:30,972 Test: [0/199] Time 5.641 (5.641) Loss 0.0002 (0.0002) Accuracy 0.924 (0.924) -2023-07-27 23:59:51,169 Test: [100/199] Time 0.198 (0.256) Loss 0.0002 (0.0002) Accuracy 0.922 (0.875) -2023-07-28 00:00:10,031 Test: [198/199] Time 0.243 (0.225) Loss 0.0002 (0.0002) Accuracy 0.948 (0.872) -2023-07-28 00:00:14,635 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 00:00:22,996 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:00:23,035 The Predictions of Net 1 -2023-07-28 00:00:23,036 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:00:23,036 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:00:23,036 | 256x192_pose_dual_101_d256d256d256 | 0.7367 | 0.9260 | 0.8144 | 0.7118 | 0.7787 | 0.7679 | 0.9377 | 0.8363 | 0.7355 | 0.8172 | -2023-07-28 00:00:23,733 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 00:00:28,482 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:00:28,521 The Predictions of Net 2 -2023-07-28 00:00:28,521 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:00:28,521 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:00:28,522 | 256x192_pose_dual_101_d256d256d256 | 0.7405 | 0.9262 | 0.8250 | 0.7159 | 0.7833 | 0.7716 | 0.9392 | 0.8432 | 0.7384 | 0.8217 | -2023-07-28 00:00:29,209 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 00:00:33,932 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:00:33,966 Ensemble Predictions -2023-07-28 00:00:33,966 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:00:33,967 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:00:33,967 | 256x192_pose_dual_101_d256d256d256 | 0.7493 | 0.9359 | 0.8258 | 0.7231 | 0.7893 | 0.7786 | 0.9410 | 0.8482 | 0.7472 | 0.8261 | -2023-07-28 00:00:33,969 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 00:00:42,569 Epoch: [176][0/631] Time 5.682s (5.682s) Speed 5.6 samples/s Data 3.985s (3.985s) Loss 0.000520 (0.000520) Accuracy 0.910 (0.910) loss_pose: 0.000194 loss_cons: 0.000325 -2023-07-28 00:03:29,247 Epoch: [176][100/631] Time 1.605s (1.707s) Speed 19.9 samples/s Data 0.000s (0.040s) Loss 0.000599 (0.000594) Accuracy 0.904 (0.889) loss_pose: 0.000187 loss_cons: 0.000412 -2023-07-28 00:06:06,647 Epoch: [176][200/631] Time 1.521s (1.641s) Speed 21.0 samples/s Data 0.001s (0.020s) Loss 0.000722 (0.000598) Accuracy 0.850 (0.890) loss_pose: 0.000225 loss_cons: 0.000497 -2023-07-28 00:08:40,997 Epoch: [176][300/631] Time 1.526s (1.608s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000617 (0.000596) Accuracy 0.927 (0.889) loss_pose: 0.000189 loss_cons: 0.000428 -2023-07-28 00:11:14,794 Epoch: [176][400/631] Time 1.526s (1.591s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000643 (0.000596) Accuracy 0.914 (0.889) loss_pose: 0.000176 loss_cons: 0.000466 -2023-07-28 00:13:49,824 Epoch: [176][500/631] Time 1.514s (1.583s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000564 (0.000598) Accuracy 0.885 (0.888) loss_pose: 0.000199 loss_cons: 0.000365 -2023-07-28 00:16:25,783 Epoch: [176][600/631] Time 1.608s (1.579s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000576 (0.000599) Accuracy 0.902 (0.888) loss_pose: 0.000223 loss_cons: 0.000353 -2023-07-28 00:17:11,379 Epoch: [176][630/631] Time 1.504s (1.576s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000557 (0.000598) Accuracy 0.871 (0.888) loss_pose: 0.000214 loss_cons: 0.000344 -2023-07-28 00:17:18,453 Test: [0/199] Time 4.714 (4.714) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-28 00:17:38,900 Test: [100/199] Time 0.198 (0.251) Loss 0.0002 (0.0002) Accuracy 0.919 (0.875) -2023-07-28 00:17:57,523 Test: [198/199] Time 0.147 (0.221) Loss 0.0002 (0.0002) Accuracy 0.939 (0.872) -2023-07-28 00:17:58,998 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 00:18:08,433 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:18:08,472 The Predictions of Net 1 -2023-07-28 00:18:08,473 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:18:08,474 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:18:08,474 | 256x192_pose_dual_101_d256d256d256 | 0.7360 | 0.9258 | 0.8150 | 0.7109 | 0.7748 | 0.7660 | 0.9350 | 0.8345 | 0.7340 | 0.8146 | -2023-07-28 00:18:11,215 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 00:18:15,958 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:18:15,990 The Predictions of Net 2 -2023-07-28 00:18:15,991 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:18:15,992 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:18:15,992 | 256x192_pose_dual_101_d256d256d256 | 0.7383 | 0.9255 | 0.8236 | 0.7152 | 0.7788 | 0.7699 | 0.9364 | 0.8416 | 0.7384 | 0.8179 | -2023-07-28 00:18:16,683 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 00:18:21,529 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:18:21,564 Ensemble Predictions -2023-07-28 00:18:21,565 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:18:21,565 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:18:21,565 | 256x192_pose_dual_101_d256d256d256 | 0.7456 | 0.9261 | 0.8257 | 0.7203 | 0.7881 | 0.7763 | 0.9391 | 0.8462 | 0.7433 | 0.8262 | -2023-07-28 00:18:21,566 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 00:18:29,609 Epoch: [177][0/631] Time 5.140s (5.140s) Speed 6.2 samples/s Data 3.451s (3.451s) Loss 0.000632 (0.000632) Accuracy 0.872 (0.872) loss_pose: 0.000222 loss_cons: 0.000410 -2023-07-28 00:21:03,898 Epoch: [177][100/631] Time 1.530s (1.578s) Speed 20.9 samples/s Data 0.000s (0.035s) Loss 0.000529 (0.000591) Accuracy 0.893 (0.884) loss_pose: 0.000174 loss_cons: 0.000355 -2023-07-28 00:23:38,726 Epoch: [177][200/631] Time 1.578s (1.563s) Speed 20.3 samples/s Data 0.000s (0.018s) Loss 0.000579 (0.000594) Accuracy 0.930 (0.885) loss_pose: 0.000182 loss_cons: 0.000397 -2023-07-28 00:26:12,853 Epoch: [177][300/631] Time 1.529s (1.556s) Speed 20.9 samples/s Data 0.001s (0.012s) Loss 0.000633 (0.000593) Accuracy 0.920 (0.886) loss_pose: 0.000201 loss_cons: 0.000432 -2023-07-28 00:28:47,557 Epoch: [177][400/631] Time 1.522s (1.554s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000615 (0.000595) Accuracy 0.871 (0.887) loss_pose: 0.000213 loss_cons: 0.000402 -2023-07-28 00:31:23,233 Epoch: [177][500/631] Time 1.526s (1.554s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000599 (0.000596) Accuracy 0.895 (0.887) loss_pose: 0.000225 loss_cons: 0.000374 -2023-07-28 00:33:57,188 Epoch: [177][600/631] Time 1.507s (1.552s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000628 (0.000595) Accuracy 0.893 (0.888) loss_pose: 0.000198 loss_cons: 0.000431 -2023-07-28 00:34:42,991 Epoch: [177][630/631] Time 1.601s (1.551s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000590 (0.000595) Accuracy 0.803 (0.888) loss_pose: 0.000261 loss_cons: 0.000329 -2023-07-28 00:34:49,666 Test: [0/199] Time 4.307 (4.307) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-28 00:35:10,281 Test: [100/199] Time 0.203 (0.249) Loss 0.0002 (0.0002) Accuracy 0.907 (0.873) -2023-07-28 00:35:28,888 Test: [198/199] Time 0.132 (0.220) Loss 0.0002 (0.0002) Accuracy 0.951 (0.870) -2023-07-28 00:35:30,841 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 00:35:40,460 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:35:40,503 The Predictions of Net 1 -2023-07-28 00:35:40,504 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:35:40,505 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:35:40,505 | 256x192_pose_dual_101_d256d256d256 | 0.7332 | 0.9259 | 0.8144 | 0.7097 | 0.7749 | 0.7651 | 0.9364 | 0.8358 | 0.7325 | 0.8144 | -2023-07-28 00:35:41,220 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 00:35:45,959 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:35:45,991 The Predictions of Net 2 -2023-07-28 00:35:45,992 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:35:45,993 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:35:45,993 | 256x192_pose_dual_101_d256d256d256 | 0.7394 | 0.9260 | 0.8248 | 0.7148 | 0.7842 | 0.7708 | 0.9391 | 0.8429 | 0.7377 | 0.8205 | -2023-07-28 00:35:48,729 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 00:35:53,564 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:35:53,598 Ensemble Predictions -2023-07-28 00:35:53,599 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:35:53,599 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:35:53,599 | 256x192_pose_dual_101_d256d256d256 | 0.7490 | 0.9357 | 0.8245 | 0.7218 | 0.7887 | 0.7777 | 0.9416 | 0.8473 | 0.7460 | 0.8258 | -2023-07-28 00:35:53,601 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 00:36:02,443 Epoch: [178][0/631] Time 5.886s (5.886s) Speed 5.4 samples/s Data 4.206s (4.206s) Loss 0.000520 (0.000520) Accuracy 0.882 (0.882) loss_pose: 0.000206 loss_cons: 0.000314 -2023-07-28 00:38:37,588 Epoch: [178][100/631] Time 1.516s (1.594s) Speed 21.1 samples/s Data 0.000s (0.042s) Loss 0.000545 (0.000589) Accuracy 0.883 (0.887) loss_pose: 0.000193 loss_cons: 0.000352 -2023-07-28 00:41:12,860 Epoch: [178][200/631] Time 1.581s (1.574s) Speed 20.2 samples/s Data 0.000s (0.021s) Loss 0.000579 (0.000592) Accuracy 0.871 (0.888) loss_pose: 0.000205 loss_cons: 0.000374 -2023-07-28 00:43:48,377 Epoch: [178][300/631] Time 1.608s (1.568s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000647 (0.000593) Accuracy 0.918 (0.888) loss_pose: 0.000189 loss_cons: 0.000459 -2023-07-28 00:46:23,620 Epoch: [178][400/631] Time 1.525s (1.564s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000702 (0.000594) Accuracy 0.849 (0.888) loss_pose: 0.000239 loss_cons: 0.000463 -2023-07-28 00:48:58,814 Epoch: [178][500/631] Time 1.527s (1.561s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000558 (0.000593) Accuracy 0.915 (0.888) loss_pose: 0.000204 loss_cons: 0.000354 -2023-07-28 00:51:32,434 Epoch: [178][600/631] Time 1.511s (1.557s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000624 (0.000595) Accuracy 0.920 (0.888) loss_pose: 0.000221 loss_cons: 0.000403 -2023-07-28 00:52:17,628 Epoch: [178][630/631] Time 1.506s (1.555s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000554 (0.000595) Accuracy 0.860 (0.888) loss_pose: 0.000216 loss_cons: 0.000338 -2023-07-28 00:52:25,692 Test: [0/199] Time 5.614 (5.614) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-28 00:52:45,742 Test: [100/199] Time 0.200 (0.255) Loss 0.0002 (0.0002) Accuracy 0.911 (0.874) -2023-07-28 00:53:04,405 Test: [198/199] Time 0.149 (0.223) Loss 0.0002 (0.0002) Accuracy 0.917 (0.872) -2023-07-28 00:53:05,918 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 00:53:15,604 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:53:15,642 The Predictions of Net 1 -2023-07-28 00:53:15,644 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:53:15,644 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:53:15,644 | 256x192_pose_dual_101_d256d256d256 | 0.7384 | 0.9260 | 0.8151 | 0.7117 | 0.7799 | 0.7696 | 0.9361 | 0.8378 | 0.7368 | 0.8187 | -2023-07-28 00:53:16,338 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 00:53:21,165 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:53:21,202 The Predictions of Net 2 -2023-07-28 00:53:21,202 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:53:21,203 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:53:21,203 | 256x192_pose_dual_101_d256d256d256 | 0.7414 | 0.9257 | 0.8161 | 0.7177 | 0.7836 | 0.7734 | 0.9391 | 0.8391 | 0.7412 | 0.8222 | -2023-07-28 00:53:21,894 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 00:53:26,656 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 00:53:26,695 Ensemble Predictions -2023-07-28 00:53:26,695 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 00:53:26,696 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 00:53:26,696 | 256x192_pose_dual_101_d256d256d256 | 0.7519 | 0.9358 | 0.8268 | 0.7244 | 0.7917 | 0.7800 | 0.9408 | 0.8484 | 0.7480 | 0.8283 | -2023-07-28 00:53:26,697 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 00:53:35,046 Epoch: [179][0/631] Time 5.224s (5.224s) Speed 6.1 samples/s Data 3.535s (3.535s) Loss 0.000459 (0.000459) Accuracy 0.896 (0.896) loss_pose: 0.000184 loss_cons: 0.000275 -2023-07-28 00:56:13,069 Epoch: [179][100/631] Time 1.518s (1.616s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000463 (0.000587) Accuracy 0.920 (0.889) loss_pose: 0.000172 loss_cons: 0.000290 -2023-07-28 00:58:48,152 Epoch: [179][200/631] Time 1.594s (1.584s) Speed 20.1 samples/s Data 0.000s (0.018s) Loss 0.000548 (0.000591) Accuracy 0.949 (0.887) loss_pose: 0.000164 loss_cons: 0.000385 -2023-07-28 01:01:23,553 Epoch: [179][300/631] Time 1.523s (1.574s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000630 (0.000593) Accuracy 0.889 (0.886) loss_pose: 0.000194 loss_cons: 0.000435 -2023-07-28 01:03:58,741 Epoch: [179][400/631] Time 1.513s (1.568s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000647 (0.000593) Accuracy 0.881 (0.886) loss_pose: 0.000235 loss_cons: 0.000412 -2023-07-28 01:06:32,031 Epoch: [179][500/631] Time 1.526s (1.561s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000555 (0.000594) Accuracy 0.911 (0.887) loss_pose: 0.000231 loss_cons: 0.000324 -2023-07-28 01:09:06,914 Epoch: [179][600/631] Time 1.603s (1.559s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000611 (0.000593) Accuracy 0.919 (0.887) loss_pose: 0.000206 loss_cons: 0.000405 -2023-07-28 01:09:53,026 Epoch: [179][630/631] Time 1.505s (1.558s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000649 (0.000594) Accuracy 0.848 (0.887) loss_pose: 0.000231 loss_cons: 0.000417 -2023-07-28 01:10:00,276 Test: [0/199] Time 4.553 (4.553) Loss 0.0002 (0.0002) Accuracy 0.926 (0.926) -2023-07-28 01:10:21,171 Test: [100/199] Time 0.198 (0.255) Loss 0.0002 (0.0002) Accuracy 0.907 (0.874) -2023-07-28 01:10:39,971 Test: [198/199] Time 0.233 (0.224) Loss 0.0002 (0.0002) Accuracy 0.917 (0.872) -2023-07-28 01:10:41,794 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 01:10:50,992 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:10:51,038 The Predictions of Net 1 -2023-07-28 01:10:51,040 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:10:51,040 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:10:51,040 | 256x192_pose_dual_101_d256d256d256 | 0.7360 | 0.9258 | 0.8156 | 0.7137 | 0.7754 | 0.7680 | 0.9358 | 0.8389 | 0.7367 | 0.8156 | -2023-07-28 01:10:51,737 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 01:10:56,662 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:10:56,702 The Predictions of Net 2 -2023-07-28 01:10:56,703 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:10:56,703 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:10:56,703 | 256x192_pose_dual_101_d256d256d256 | 0.7410 | 0.9259 | 0.8246 | 0.7189 | 0.7790 | 0.7725 | 0.9384 | 0.8440 | 0.7429 | 0.8180 | -2023-07-28 01:10:57,390 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 01:11:02,328 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:11:02,367 Ensemble Predictions -2023-07-28 01:11:02,368 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:11:02,368 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:11:02,368 | 256x192_pose_dual_101_d256d256d256 | 0.7509 | 0.9358 | 0.8350 | 0.7270 | 0.7866 | 0.7794 | 0.9405 | 0.8501 | 0.7492 | 0.8256 | -2023-07-28 01:11:02,369 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 01:11:10,517 Epoch: [180][0/631] Time 5.209s (5.209s) Speed 6.1 samples/s Data 3.478s (3.478s) Loss 0.000592 (0.000592) Accuracy 0.876 (0.876) loss_pose: 0.000235 loss_cons: 0.000357 -2023-07-28 01:13:44,612 Epoch: [180][100/631] Time 1.514s (1.577s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000610 (0.000591) Accuracy 0.913 (0.887) loss_pose: 0.000192 loss_cons: 0.000418 -2023-07-28 01:16:18,779 Epoch: [180][200/631] Time 1.536s (1.560s) Speed 20.8 samples/s Data 0.000s (0.018s) Loss 0.000564 (0.000591) Accuracy 0.926 (0.887) loss_pose: 0.000160 loss_cons: 0.000405 -2023-07-28 01:18:52,471 Epoch: [180][300/631] Time 1.515s (1.552s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000581 (0.000592) Accuracy 0.916 (0.887) loss_pose: 0.000179 loss_cons: 0.000402 -2023-07-28 01:21:28,451 Epoch: [180][400/631] Time 1.610s (1.554s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000628 (0.000593) Accuracy 0.864 (0.888) loss_pose: 0.000200 loss_cons: 0.000428 -2023-07-28 01:24:02,563 Epoch: [180][500/631] Time 1.594s (1.551s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000508 (0.000594) Accuracy 0.913 (0.887) loss_pose: 0.000197 loss_cons: 0.000311 -2023-07-28 01:26:35,713 Epoch: [180][600/631] Time 1.509s (1.548s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000701 (0.000594) Accuracy 0.828 (0.887) loss_pose: 0.000278 loss_cons: 0.000423 -2023-07-28 01:27:21,084 Epoch: [180][630/631] Time 1.511s (1.546s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000567 (0.000593) Accuracy 0.864 (0.887) loss_pose: 0.000196 loss_cons: 0.000371 -2023-07-28 01:27:29,151 Test: [0/199] Time 5.920 (5.920) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-28 01:27:48,898 Test: [100/199] Time 0.218 (0.254) Loss 0.0002 (0.0002) Accuracy 0.922 (0.875) -2023-07-28 01:28:07,629 Test: [198/199] Time 0.144 (0.223) Loss 0.0002 (0.0002) Accuracy 0.944 (0.873) -2023-07-28 01:28:09,213 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 01:28:20,700 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:28:20,743 The Predictions of Net 1 -2023-07-28 01:28:20,744 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:28:20,745 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:28:20,745 | 256x192_pose_dual_101_d256d256d256 | 0.7372 | 0.9257 | 0.8238 | 0.7154 | 0.7753 | 0.7686 | 0.9356 | 0.8402 | 0.7385 | 0.8147 | -2023-07-28 01:28:21,433 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 01:28:26,179 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:28:26,214 The Predictions of Net 2 -2023-07-28 01:28:26,214 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:28:26,215 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:28:26,215 | 256x192_pose_dual_101_d256d256d256 | 0.7380 | 0.9259 | 0.8250 | 0.7159 | 0.7781 | 0.7705 | 0.9397 | 0.8429 | 0.7395 | 0.8179 | -2023-07-28 01:28:26,898 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 01:28:31,675 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:28:31,713 Ensemble Predictions -2023-07-28 01:28:31,714 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:28:31,714 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:28:31,714 | 256x192_pose_dual_101_d256d256d256 | 0.7495 | 0.9358 | 0.8358 | 0.7244 | 0.7867 | 0.7786 | 0.9411 | 0.8506 | 0.7483 | 0.8249 | -2023-07-28 01:28:31,715 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 01:28:39,694 Epoch: [181][0/631] Time 4.932s (4.932s) Speed 6.5 samples/s Data 3.192s (3.192s) Loss 0.000529 (0.000529) Accuracy 0.897 (0.897) loss_pose: 0.000209 loss_cons: 0.000320 -2023-07-28 01:31:15,187 Epoch: [181][100/631] Time 1.604s (1.588s) Speed 19.9 samples/s Data 0.000s (0.032s) Loss 0.000540 (0.000592) Accuracy 0.938 (0.890) loss_pose: 0.000171 loss_cons: 0.000369 -2023-07-28 01:33:49,807 Epoch: [181][200/631] Time 1.564s (1.567s) Speed 20.5 samples/s Data 0.000s (0.016s) Loss 0.000626 (0.000594) Accuracy 0.880 (0.890) loss_pose: 0.000217 loss_cons: 0.000409 -2023-07-28 01:36:25,421 Epoch: [181][300/631] Time 1.523s (1.564s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000716 (0.000595) Accuracy 0.882 (0.889) loss_pose: 0.000194 loss_cons: 0.000521 -2023-07-28 01:38:59,805 Epoch: [181][400/631] Time 1.595s (1.559s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000654 (0.000597) Accuracy 0.914 (0.889) loss_pose: 0.000192 loss_cons: 0.000462 -2023-07-28 01:41:34,767 Epoch: [181][500/631] Time 1.523s (1.557s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000576 (0.000597) Accuracy 0.900 (0.889) loss_pose: 0.000217 loss_cons: 0.000358 -2023-07-28 01:44:08,737 Epoch: [181][600/631] Time 1.510s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000615 (0.000599) Accuracy 0.882 (0.888) loss_pose: 0.000221 loss_cons: 0.000394 -2023-07-28 01:44:54,153 Epoch: [181][630/631] Time 1.506s (1.552s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000637 (0.000599) Accuracy 0.863 (0.888) loss_pose: 0.000237 loss_cons: 0.000400 -2023-07-28 01:45:01,483 Test: [0/199] Time 4.701 (4.701) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-28 01:45:21,937 Test: [100/199] Time 0.201 (0.251) Loss 0.0002 (0.0002) Accuracy 0.904 (0.875) -2023-07-28 01:45:40,568 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0002) Accuracy 0.898 (0.872) -2023-07-28 01:45:42,512 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 01:45:51,387 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:45:51,491 The Predictions of Net 1 -2023-07-28 01:45:51,494 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:45:51,506 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:45:51,506 | 256x192_pose_dual_101_d256d256d256 | 0.7381 | 0.9258 | 0.8152 | 0.7149 | 0.7777 | 0.7691 | 0.9359 | 0.8396 | 0.7381 | 0.8165 | -2023-07-28 01:45:52,310 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 01:45:59,145 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:45:59,179 The Predictions of Net 2 -2023-07-28 01:45:59,180 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:45:59,181 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:45:59,181 | 256x192_pose_dual_101_d256d256d256 | 0.7388 | 0.9260 | 0.8250 | 0.7154 | 0.7803 | 0.7695 | 0.9383 | 0.8401 | 0.7375 | 0.8179 | -2023-07-28 01:45:59,866 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 01:46:04,560 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 01:46:04,594 Ensemble Predictions -2023-07-28 01:46:04,595 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 01:46:04,595 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 01:46:04,595 | 256x192_pose_dual_101_d256d256d256 | 0.7505 | 0.9360 | 0.8261 | 0.7258 | 0.7893 | 0.7789 | 0.9418 | 0.8484 | 0.7483 | 0.8254 | -2023-07-28 01:46:04,597 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 01:46:13,095 Epoch: [182][0/631] Time 5.484s (5.484s) Speed 5.8 samples/s Data 3.802s (3.802s) Loss 0.000580 (0.000580) Accuracy 0.881 (0.881) loss_pose: 0.000220 loss_cons: 0.000359 -2023-07-28 01:48:49,498 Epoch: [182][100/631] Time 1.521s (1.603s) Speed 21.0 samples/s Data 0.000s (0.038s) Loss 0.000574 (0.000588) Accuracy 0.906 (0.888) loss_pose: 0.000198 loss_cons: 0.000377 -2023-07-28 01:51:24,379 Epoch: [182][200/631] Time 1.589s (1.576s) Speed 20.1 samples/s Data 0.000s (0.019s) Loss 0.000626 (0.000590) Accuracy 0.858 (0.888) loss_pose: 0.000231 loss_cons: 0.000395 -2023-07-28 01:53:59,015 Epoch: [182][300/631] Time 1.520s (1.566s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000654 (0.000591) Accuracy 0.880 (0.889) loss_pose: 0.000215 loss_cons: 0.000439 -2023-07-28 01:56:33,540 Epoch: [182][400/631] Time 1.512s (1.561s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000664 (0.000592) Accuracy 0.908 (0.888) loss_pose: 0.000206 loss_cons: 0.000458 -2023-07-28 01:59:07,607 Epoch: [182][500/631] Time 1.530s (1.557s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000555 (0.000594) Accuracy 0.855 (0.887) loss_pose: 0.000210 loss_cons: 0.000345 -2023-07-28 02:01:43,601 Epoch: [182][600/631] Time 1.601s (1.557s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000733 (0.000594) Accuracy 0.904 (0.887) loss_pose: 0.000223 loss_cons: 0.000510 -2023-07-28 02:02:30,360 Epoch: [182][630/631] Time 1.595s (1.557s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000522 (0.000595) Accuracy 0.916 (0.887) loss_pose: 0.000176 loss_cons: 0.000347 -2023-07-28 02:02:38,359 Test: [0/199] Time 6.084 (6.084) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-28 02:02:58,136 Test: [100/199] Time 0.196 (0.256) Loss 0.0002 (0.0002) Accuracy 0.912 (0.875) -2023-07-28 02:03:16,877 Test: [198/199] Time 0.195 (0.224) Loss 0.0002 (0.0002) Accuracy 0.912 (0.873) -2023-07-28 02:03:18,254 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 02:03:27,991 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:03:28,029 The Predictions of Net 1 -2023-07-28 02:03:28,030 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:03:28,030 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:03:28,030 | 256x192_pose_dual_101_d256d256d256 | 0.7376 | 0.9257 | 0.8151 | 0.7161 | 0.7788 | 0.7699 | 0.9372 | 0.8380 | 0.7386 | 0.8177 | -2023-07-28 02:03:28,722 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 02:03:33,476 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:03:33,509 The Predictions of Net 2 -2023-07-28 02:03:33,510 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:03:33,511 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:03:33,511 | 256x192_pose_dual_101_d256d256d256 | 0.7432 | 0.9258 | 0.8249 | 0.7190 | 0.7827 | 0.7742 | 0.9392 | 0.8441 | 0.7431 | 0.8217 | -2023-07-28 02:03:34,198 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 02:03:41,155 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:03:41,189 Ensemble Predictions -2023-07-28 02:03:41,190 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:03:41,191 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:03:41,191 | 256x192_pose_dual_101_d256d256d256 | 0.7522 | 0.9358 | 0.8263 | 0.7261 | 0.7920 | 0.7812 | 0.9416 | 0.8495 | 0.7500 | 0.8288 | -2023-07-28 02:03:41,192 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 02:03:49,252 Epoch: [183][0/631] Time 5.105s (5.105s) Speed 6.3 samples/s Data 3.381s (3.381s) Loss 0.000543 (0.000543) Accuracy 0.904 (0.904) loss_pose: 0.000201 loss_cons: 0.000342 -2023-07-28 02:06:25,137 Epoch: [183][100/631] Time 1.587s (1.594s) Speed 20.2 samples/s Data 0.000s (0.034s) Loss 0.000474 (0.000593) Accuracy 0.926 (0.889) loss_pose: 0.000184 loss_cons: 0.000290 -2023-07-28 02:09:00,229 Epoch: [183][200/631] Time 1.509s (1.573s) Speed 21.2 samples/s Data 0.000s (0.017s) Loss 0.000771 (0.000600) Accuracy 0.855 (0.889) loss_pose: 0.000280 loss_cons: 0.000491 -2023-07-28 02:11:35,472 Epoch: [183][300/631] Time 1.525s (1.566s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000778 (0.000601) Accuracy 0.867 (0.887) loss_pose: 0.000263 loss_cons: 0.000514 -2023-07-28 02:14:09,455 Epoch: [183][400/631] Time 1.529s (1.559s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000579 (0.000600) Accuracy 0.909 (0.888) loss_pose: 0.000169 loss_cons: 0.000410 -2023-07-28 02:16:44,930 Epoch: [183][500/631] Time 1.515s (1.558s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000538 (0.000600) Accuracy 0.909 (0.889) loss_pose: 0.000188 loss_cons: 0.000350 -2023-07-28 02:19:19,992 Epoch: [183][600/631] Time 1.586s (1.557s) Speed 20.2 samples/s Data 0.000s (0.006s) Loss 0.000617 (0.000602) Accuracy 0.919 (0.889) loss_pose: 0.000191 loss_cons: 0.000426 -2023-07-28 02:20:07,806 Epoch: [183][630/631] Time 1.509s (1.559s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000489 (0.000602) Accuracy 0.916 (0.889) loss_pose: 0.000182 loss_cons: 0.000307 -2023-07-28 02:20:15,648 Test: [0/199] Time 5.661 (5.661) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-28 02:20:35,615 Test: [100/199] Time 0.215 (0.254) Loss 0.0002 (0.0002) Accuracy 0.913 (0.873) -2023-07-28 02:20:54,219 Test: [198/199] Time 0.133 (0.223) Loss 0.0002 (0.0002) Accuracy 0.924 (0.872) -2023-07-28 02:20:55,815 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 02:21:05,248 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:21:05,287 The Predictions of Net 1 -2023-07-28 02:21:05,288 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:21:05,289 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:21:05,289 | 256x192_pose_dual_101_d256d256d256 | 0.7367 | 0.9260 | 0.8140 | 0.7115 | 0.7790 | 0.7679 | 0.9367 | 0.8367 | 0.7356 | 0.8168 | -2023-07-28 02:21:05,985 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 02:21:10,744 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:21:10,777 The Predictions of Net 2 -2023-07-28 02:21:10,778 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:21:10,778 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:21:10,779 | 256x192_pose_dual_101_d256d256d256 | 0.7409 | 0.9259 | 0.8242 | 0.7168 | 0.7820 | 0.7722 | 0.9392 | 0.8416 | 0.7394 | 0.8219 | -2023-07-28 02:21:11,466 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 02:21:16,257 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:21:16,291 Ensemble Predictions -2023-07-28 02:21:16,292 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:21:16,293 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:21:16,293 | 256x192_pose_dual_101_d256d256d256 | 0.7509 | 0.9360 | 0.8355 | 0.7261 | 0.7893 | 0.7798 | 0.9422 | 0.8515 | 0.7481 | 0.8278 | -2023-07-28 02:21:16,293 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 02:21:24,593 Epoch: [184][0/631] Time 5.391s (5.391s) Speed 5.9 samples/s Data 3.683s (3.683s) Loss 0.000664 (0.000664) Accuracy 0.839 (0.839) loss_pose: 0.000263 loss_cons: 0.000401 -2023-07-28 02:24:01,284 Epoch: [184][100/631] Time 1.516s (1.605s) Speed 21.1 samples/s Data 0.000s (0.037s) Loss 0.000583 (0.000585) Accuracy 0.917 (0.889) loss_pose: 0.000197 loss_cons: 0.000386 -2023-07-28 02:26:35,732 Epoch: [184][200/631] Time 1.582s (1.575s) Speed 20.2 samples/s Data 0.000s (0.019s) Loss 0.000579 (0.000587) Accuracy 0.898 (0.889) loss_pose: 0.000227 loss_cons: 0.000352 -2023-07-28 02:29:09,768 Epoch: [184][300/631] Time 1.616s (1.563s) Speed 19.8 samples/s Data 0.000s (0.013s) Loss 0.000628 (0.000590) Accuracy 0.908 (0.889) loss_pose: 0.000209 loss_cons: 0.000419 -2023-07-28 02:31:44,660 Epoch: [184][400/631] Time 1.511s (1.560s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000548 (0.000592) Accuracy 0.886 (0.889) loss_pose: 0.000210 loss_cons: 0.000339 -2023-07-28 02:34:22,284 Epoch: [184][500/631] Time 1.576s (1.563s) Speed 20.3 samples/s Data 0.000s (0.008s) Loss 0.000548 (0.000589) Accuracy 0.889 (0.890) loss_pose: 0.000204 loss_cons: 0.000344 -2023-07-28 02:36:59,583 Epoch: [184][600/631] Time 1.509s (1.565s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000601 (0.000591) Accuracy 0.889 (0.890) loss_pose: 0.000200 loss_cons: 0.000401 -2023-07-28 02:37:46,443 Epoch: [184][630/631] Time 1.596s (1.565s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000550 (0.000591) Accuracy 0.893 (0.890) loss_pose: 0.000195 loss_cons: 0.000355 -2023-07-28 02:37:53,923 Test: [0/199] Time 5.225 (5.225) Loss 0.0002 (0.0002) Accuracy 0.900 (0.900) -2023-07-28 02:38:14,331 Test: [100/199] Time 0.196 (0.255) Loss 0.0002 (0.0002) Accuracy 0.906 (0.871) -2023-07-28 02:38:32,985 Test: [198/199] Time 0.134 (0.223) Loss 0.0002 (0.0002) Accuracy 0.938 (0.870) -2023-07-28 02:38:36,904 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 02:38:46,224 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:38:46,259 The Predictions of Net 1 -2023-07-28 02:38:46,260 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:38:46,260 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:38:46,261 | 256x192_pose_dual_101_d256d256d256 | 0.7358 | 0.9256 | 0.8149 | 0.7107 | 0.7775 | 0.7665 | 0.9350 | 0.8369 | 0.7333 | 0.8165 | -2023-07-28 02:38:46,953 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 02:38:51,766 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:38:51,802 The Predictions of Net 2 -2023-07-28 02:38:51,802 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:38:51,803 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:38:51,803 | 256x192_pose_dual_101_d256d256d256 | 0.7358 | 0.9261 | 0.8156 | 0.7154 | 0.7765 | 0.7689 | 0.9395 | 0.8397 | 0.7387 | 0.8145 | -2023-07-28 02:38:52,492 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 02:38:57,200 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:38:57,236 Ensemble Predictions -2023-07-28 02:38:57,237 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:38:57,237 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:38:57,237 | 256x192_pose_dual_101_d256d256d256 | 0.7495 | 0.9355 | 0.8263 | 0.7236 | 0.7897 | 0.7785 | 0.9418 | 0.8487 | 0.7469 | 0.8262 | -2023-07-28 02:38:57,239 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 02:39:05,023 Epoch: [185][0/631] Time 4.844s (4.844s) Speed 6.6 samples/s Data 3.126s (3.126s) Loss 0.000513 (0.000513) Accuracy 0.934 (0.934) loss_pose: 0.000200 loss_cons: 0.000313 -2023-07-28 02:41:47,313 Epoch: [185][100/631] Time 1.532s (1.655s) Speed 20.9 samples/s Data 0.001s (0.031s) Loss 0.000613 (0.000589) Accuracy 0.871 (0.888) loss_pose: 0.000205 loss_cons: 0.000408 -2023-07-28 02:44:24,604 Epoch: [185][200/631] Time 1.568s (1.614s) Speed 20.4 samples/s Data 0.000s (0.016s) Loss 0.000675 (0.000592) Accuracy 0.870 (0.890) loss_pose: 0.000228 loss_cons: 0.000447 -2023-07-28 02:47:00,111 Epoch: [185][300/631] Time 1.566s (1.594s) Speed 20.4 samples/s Data 0.000s (0.011s) Loss 0.000643 (0.000591) Accuracy 0.878 (0.890) loss_pose: 0.000208 loss_cons: 0.000435 -2023-07-28 02:49:34,886 Epoch: [185][400/631] Time 1.614s (1.583s) Speed 19.8 samples/s Data 0.000s (0.008s) Loss 0.000697 (0.000594) Accuracy 0.876 (0.890) loss_pose: 0.000249 loss_cons: 0.000448 -2023-07-28 02:52:10,485 Epoch: [185][500/631] Time 1.510s (1.577s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000625 (0.000593) Accuracy 0.883 (0.889) loss_pose: 0.000195 loss_cons: 0.000430 -2023-07-28 02:54:44,489 Epoch: [185][600/631] Time 1.518s (1.571s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000578 (0.000594) Accuracy 0.877 (0.889) loss_pose: 0.000223 loss_cons: 0.000355 -2023-07-28 02:55:29,905 Epoch: [185][630/631] Time 1.512s (1.569s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000586 (0.000594) Accuracy 0.913 (0.889) loss_pose: 0.000211 loss_cons: 0.000374 -2023-07-28 02:55:36,621 Test: [0/199] Time 4.372 (4.372) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-28 02:55:57,926 Test: [100/199] Time 0.199 (0.256) Loss 0.0002 (0.0002) Accuracy 0.900 (0.877) -2023-07-28 02:56:16,658 Test: [198/199] Time 0.143 (0.224) Loss 0.0002 (0.0002) Accuracy 0.933 (0.874) -2023-07-28 02:56:18,599 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 02:56:28,414 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:56:28,463 The Predictions of Net 1 -2023-07-28 02:56:28,464 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:56:28,465 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:56:28,465 | 256x192_pose_dual_101_d256d256d256 | 0.7382 | 0.9260 | 0.8246 | 0.7168 | 0.7784 | 0.7701 | 0.9380 | 0.8418 | 0.7389 | 0.8177 | -2023-07-28 02:56:31,251 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 02:56:36,070 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:56:36,107 The Predictions of Net 2 -2023-07-28 02:56:36,108 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:56:36,108 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:56:36,108 | 256x192_pose_dual_101_d256d256d256 | 0.7409 | 0.9261 | 0.8248 | 0.7175 | 0.7797 | 0.7721 | 0.9399 | 0.8418 | 0.7406 | 0.8198 | -2023-07-28 02:56:36,796 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 02:56:41,557 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 02:56:41,590 Ensemble Predictions -2023-07-28 02:56:41,591 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 02:56:41,592 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 02:56:41,592 | 256x192_pose_dual_101_d256d256d256 | 0.7516 | 0.9358 | 0.8363 | 0.7266 | 0.7935 | 0.7808 | 0.9429 | 0.8504 | 0.7492 | 0.8288 | -2023-07-28 02:56:41,593 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 02:56:50,296 Epoch: [186][0/631] Time 5.635s (5.635s) Speed 5.7 samples/s Data 3.956s (3.956s) Loss 0.000580 (0.000580) Accuracy 0.865 (0.865) loss_pose: 0.000216 loss_cons: 0.000364 -2023-07-28 02:59:26,248 Epoch: [186][100/631] Time 1.543s (1.600s) Speed 20.7 samples/s Data 0.000s (0.040s) Loss 0.000457 (0.000595) Accuracy 0.907 (0.884) loss_pose: 0.000187 loss_cons: 0.000270 -2023-07-28 03:02:02,597 Epoch: [186][200/631] Time 1.553s (1.582s) Speed 20.6 samples/s Data 0.000s (0.020s) Loss 0.000581 (0.000589) Accuracy 0.912 (0.885) loss_pose: 0.000212 loss_cons: 0.000369 -2023-07-28 03:04:37,461 Epoch: [186][300/631] Time 1.590s (1.571s) Speed 20.1 samples/s Data 0.000s (0.014s) Loss 0.000618 (0.000591) Accuracy 0.907 (0.887) loss_pose: 0.000183 loss_cons: 0.000435 -2023-07-28 03:07:12,063 Epoch: [186][400/631] Time 1.599s (1.565s) Speed 20.0 samples/s Data 0.001s (0.010s) Loss 0.000644 (0.000592) Accuracy 0.861 (0.889) loss_pose: 0.000191 loss_cons: 0.000453 -2023-07-28 03:09:47,331 Epoch: [186][500/631] Time 1.601s (1.562s) Speed 20.0 samples/s Data 0.001s (0.008s) Loss 0.000477 (0.000592) Accuracy 0.912 (0.889) loss_pose: 0.000189 loss_cons: 0.000288 -2023-07-28 03:12:21,496 Epoch: [186][600/631] Time 1.543s (1.559s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.000655 (0.000594) Accuracy 0.872 (0.889) loss_pose: 0.000223 loss_cons: 0.000432 -2023-07-28 03:13:06,958 Epoch: [186][630/631] Time 1.513s (1.557s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000565 (0.000595) Accuracy 0.913 (0.889) loss_pose: 0.000209 loss_cons: 0.000356 -2023-07-28 03:13:15,184 Test: [0/199] Time 5.874 (5.874) Loss 0.0002 (0.0002) Accuracy 0.891 (0.891) -2023-07-28 03:13:35,336 Test: [100/199] Time 0.196 (0.258) Loss 0.0002 (0.0002) Accuracy 0.909 (0.875) -2023-07-28 03:13:54,109 Test: [198/199] Time 0.151 (0.225) Loss 0.0002 (0.0002) Accuracy 0.916 (0.873) -2023-07-28 03:13:55,919 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 03:14:05,377 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:14:05,418 The Predictions of Net 1 -2023-07-28 03:14:05,419 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:14:05,420 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:14:05,420 | 256x192_pose_dual_101_d256d256d256 | 0.7387 | 0.9256 | 0.8241 | 0.7138 | 0.7817 | 0.7697 | 0.9375 | 0.8405 | 0.7361 | 0.8205 | -2023-07-28 03:14:06,113 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 03:14:10,844 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:14:10,877 The Predictions of Net 2 -2023-07-28 03:14:10,877 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:14:10,878 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:14:10,878 | 256x192_pose_dual_101_d256d256d256 | 0.7427 | 0.9255 | 0.8244 | 0.7159 | 0.7849 | 0.7732 | 0.9394 | 0.8446 | 0.7398 | 0.8236 | -2023-07-28 03:14:13,754 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 03:14:18,522 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:14:18,558 Ensemble Predictions -2023-07-28 03:14:18,559 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:14:18,559 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:14:18,559 | 256x192_pose_dual_101_d256d256d256 | 0.7498 | 0.9354 | 0.8269 | 0.7234 | 0.7920 | 0.7793 | 0.9414 | 0.8495 | 0.7466 | 0.8289 | -2023-07-28 03:14:18,560 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 03:14:26,658 Epoch: [187][0/631] Time 5.118s (5.118s) Speed 6.3 samples/s Data 3.409s (3.409s) Loss 0.000501 (0.000501) Accuracy 0.883 (0.883) loss_pose: 0.000195 loss_cons: 0.000305 -2023-07-28 03:17:02,420 Epoch: [187][100/631] Time 1.511s (1.593s) Speed 21.2 samples/s Data 0.000s (0.034s) Loss 0.000528 (0.000581) Accuracy 0.871 (0.888) loss_pose: 0.000186 loss_cons: 0.000342 -2023-07-28 03:19:38,781 Epoch: [187][200/631] Time 1.514s (1.578s) Speed 21.1 samples/s Data 0.000s (0.017s) Loss 0.000570 (0.000585) Accuracy 0.900 (0.888) loss_pose: 0.000208 loss_cons: 0.000363 -2023-07-28 03:22:12,723 Epoch: [187][300/631] Time 1.517s (1.565s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000687 (0.000589) Accuracy 0.867 (0.888) loss_pose: 0.000223 loss_cons: 0.000464 -2023-07-28 03:24:47,631 Epoch: [187][400/631] Time 1.528s (1.561s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000583 (0.000590) Accuracy 0.869 (0.889) loss_pose: 0.000215 loss_cons: 0.000368 -2023-07-28 03:27:22,213 Epoch: [187][500/631] Time 1.602s (1.558s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000602 (0.000591) Accuracy 0.907 (0.889) loss_pose: 0.000217 loss_cons: 0.000385 -2023-07-28 03:29:55,642 Epoch: [187][600/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000627 (0.000593) Accuracy 0.892 (0.889) loss_pose: 0.000191 loss_cons: 0.000436 -2023-07-28 03:30:42,767 Epoch: [187][630/631] Time 1.544s (1.555s) Speed 20.7 samples/s Data 0.000s (0.006s) Loss 0.000566 (0.000594) Accuracy 0.891 (0.889) loss_pose: 0.000207 loss_cons: 0.000359 -2023-07-28 03:30:51,039 Test: [0/199] Time 6.214 (6.214) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-28 03:31:10,745 Test: [100/199] Time 0.200 (0.257) Loss 0.0002 (0.0002) Accuracy 0.902 (0.876) -2023-07-28 03:31:29,415 Test: [198/199] Time 0.147 (0.224) Loss 0.0002 (0.0002) Accuracy 0.951 (0.874) -2023-07-28 03:31:31,304 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 03:31:40,443 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:31:40,484 The Predictions of Net 1 -2023-07-28 03:31:40,485 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:31:40,485 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:31:40,485 | 256x192_pose_dual_101_d256d256d256 | 0.7388 | 0.9258 | 0.8231 | 0.7179 | 0.7781 | 0.7704 | 0.9383 | 0.8410 | 0.7402 | 0.8169 | -2023-07-28 03:31:41,177 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 03:31:45,906 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:31:45,942 The Predictions of Net 2 -2023-07-28 03:31:45,942 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:31:45,943 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:31:45,943 | 256x192_pose_dual_101_d256d256d256 | 0.7409 | 0.9258 | 0.8246 | 0.7187 | 0.7831 | 0.7733 | 0.9397 | 0.8452 | 0.7423 | 0.8210 | -2023-07-28 03:31:46,630 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 03:31:51,331 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:31:51,363 Ensemble Predictions -2023-07-28 03:31:51,364 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:31:51,364 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:31:51,364 | 256x192_pose_dual_101_d256d256d256 | 0.7511 | 0.9361 | 0.8353 | 0.7285 | 0.7896 | 0.7808 | 0.9421 | 0.8517 | 0.7505 | 0.8274 | -2023-07-28 03:31:51,365 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 03:32:00,156 Epoch: [188][0/631] Time 5.906s (5.906s) Speed 5.4 samples/s Data 4.164s (4.164s) Loss 0.000616 (0.000616) Accuracy 0.879 (0.879) loss_pose: 0.000233 loss_cons: 0.000383 -2023-07-28 03:34:34,632 Epoch: [188][100/631] Time 1.520s (1.588s) Speed 21.0 samples/s Data 0.000s (0.042s) Loss 0.000545 (0.000577) Accuracy 0.929 (0.893) loss_pose: 0.000173 loss_cons: 0.000373 -2023-07-28 03:37:10,046 Epoch: [188][200/631] Time 1.546s (1.571s) Speed 20.7 samples/s Data 0.000s (0.021s) Loss 0.000689 (0.000584) Accuracy 0.861 (0.890) loss_pose: 0.000216 loss_cons: 0.000473 -2023-07-28 03:39:46,992 Epoch: [188][300/631] Time 1.515s (1.571s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000653 (0.000585) Accuracy 0.903 (0.890) loss_pose: 0.000195 loss_cons: 0.000458 -2023-07-28 03:42:22,598 Epoch: [188][400/631] Time 1.522s (1.567s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000606 (0.000589) Accuracy 0.923 (0.889) loss_pose: 0.000169 loss_cons: 0.000437 -2023-07-28 03:44:57,230 Epoch: [188][500/631] Time 1.515s (1.563s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000460 (0.000591) Accuracy 0.901 (0.889) loss_pose: 0.000173 loss_cons: 0.000287 -2023-07-28 03:47:32,352 Epoch: [188][600/631] Time 1.608s (1.561s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000550 (0.000590) Accuracy 0.903 (0.890) loss_pose: 0.000201 loss_cons: 0.000350 -2023-07-28 03:48:20,436 Epoch: [188][630/631] Time 1.601s (1.563s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000566 (0.000591) Accuracy 0.926 (0.890) loss_pose: 0.000181 loss_cons: 0.000385 -2023-07-28 03:48:28,112 Test: [0/199] Time 5.479 (5.479) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-28 03:48:48,234 Test: [100/199] Time 0.214 (0.255) Loss 0.0002 (0.0002) Accuracy 0.910 (0.877) -2023-07-28 03:49:07,054 Test: [198/199] Time 0.150 (0.224) Loss 0.0002 (0.0002) Accuracy 0.926 (0.875) -2023-07-28 03:49:08,844 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 03:49:18,292 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:49:18,339 The Predictions of Net 1 -2023-07-28 03:49:18,340 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:49:18,340 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:49:18,340 | 256x192_pose_dual_101_d256d256d256 | 0.7419 | 0.9256 | 0.8241 | 0.7168 | 0.7828 | 0.7736 | 0.9380 | 0.8463 | 0.7414 | 0.8226 | -2023-07-28 03:49:19,031 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 03:49:23,794 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:49:23,827 The Predictions of Net 2 -2023-07-28 03:49:23,828 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:49:23,829 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:49:23,829 | 256x192_pose_dual_101_d256d256d256 | 0.7446 | 0.9258 | 0.8251 | 0.7206 | 0.7852 | 0.7752 | 0.9392 | 0.8445 | 0.7439 | 0.8227 | -2023-07-28 03:49:24,516 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 03:49:29,354 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 03:49:29,388 Ensemble Predictions -2023-07-28 03:49:29,388 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 03:49:29,389 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 03:49:29,389 | 256x192_pose_dual_101_d256d256d256 | 0.7544 | 0.9359 | 0.8360 | 0.7276 | 0.7947 | 0.7827 | 0.9430 | 0.8534 | 0.7509 | 0.8313 | -2023-07-28 03:49:29,390 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 03:49:38,717 Epoch: [189][0/631] Time 5.387s (5.387s) Speed 5.9 samples/s Data 3.689s (3.689s) Loss 0.000581 (0.000581) Accuracy 0.913 (0.913) loss_pose: 0.000212 loss_cons: 0.000369 -2023-07-28 03:52:13,178 Epoch: [189][100/631] Time 1.582s (1.583s) Speed 20.2 samples/s Data 0.000s (0.037s) Loss 0.000604 (0.000586) Accuracy 0.914 (0.890) loss_pose: 0.000183 loss_cons: 0.000420 -2023-07-28 03:54:47,553 Epoch: [189][200/631] Time 1.587s (1.563s) Speed 20.2 samples/s Data 0.000s (0.019s) Loss 0.000626 (0.000590) Accuracy 0.915 (0.890) loss_pose: 0.000189 loss_cons: 0.000437 -2023-07-28 03:57:22,489 Epoch: [189][300/631] Time 1.518s (1.559s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000718 (0.000593) Accuracy 0.881 (0.889) loss_pose: 0.000223 loss_cons: 0.000495 -2023-07-28 03:59:56,194 Epoch: [189][400/631] Time 1.530s (1.553s) Speed 20.9 samples/s Data 0.000s (0.010s) Loss 0.000652 (0.000593) Accuracy 0.867 (0.890) loss_pose: 0.000218 loss_cons: 0.000434 -2023-07-28 04:02:30,357 Epoch: [189][500/631] Time 1.527s (1.551s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000570 (0.000593) Accuracy 0.876 (0.890) loss_pose: 0.000204 loss_cons: 0.000365 -2023-07-28 04:05:03,518 Epoch: [189][600/631] Time 1.519s (1.548s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000689 (0.000593) Accuracy 0.931 (0.890) loss_pose: 0.000176 loss_cons: 0.000513 -2023-07-28 04:05:48,942 Epoch: [189][630/631] Time 1.505s (1.546s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000505 (0.000592) Accuracy 0.941 (0.891) loss_pose: 0.000170 loss_cons: 0.000334 -2023-07-28 04:05:56,458 Test: [0/199] Time 5.447 (5.447) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-28 04:06:16,536 Test: [100/199] Time 0.196 (0.254) Loss 0.0002 (0.0002) Accuracy 0.899 (0.874) -2023-07-28 04:06:35,152 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.929 (0.872) -2023-07-28 04:06:36,863 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 04:06:48,356 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:06:48,394 The Predictions of Net 1 -2023-07-28 04:06:48,395 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:06:48,395 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:06:48,396 | 256x192_pose_dual_101_d256d256d256 | 0.7381 | 0.9255 | 0.8145 | 0.7126 | 0.7839 | 0.7698 | 0.9358 | 0.8374 | 0.7357 | 0.8213 | -2023-07-28 04:06:49,083 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 04:06:53,857 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:06:53,895 The Predictions of Net 2 -2023-07-28 04:06:53,895 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:06:53,896 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:06:53,896 | 256x192_pose_dual_101_d256d256d256 | 0.7379 | 0.9258 | 0.8253 | 0.7152 | 0.7801 | 0.7699 | 0.9389 | 0.8426 | 0.7372 | 0.8192 | -2023-07-28 04:06:54,583 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 04:06:59,417 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:06:59,451 Ensemble Predictions -2023-07-28 04:06:59,452 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:06:59,453 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:06:59,453 | 256x192_pose_dual_101_d256d256d256 | 0.7501 | 0.9353 | 0.8260 | 0.7220 | 0.7933 | 0.7790 | 0.9403 | 0.8474 | 0.7458 | 0.8291 | -2023-07-28 04:06:59,454 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 04:07:08,411 Epoch: [190][0/631] Time 5.883s (5.883s) Speed 5.4 samples/s Data 4.160s (4.160s) Loss 0.000584 (0.000584) Accuracy 0.876 (0.876) loss_pose: 0.000257 loss_cons: 0.000326 -2023-07-28 04:09:43,575 Epoch: [190][100/631] Time 1.581s (1.595s) Speed 20.2 samples/s Data 0.000s (0.042s) Loss 0.000583 (0.000581) Accuracy 0.870 (0.891) loss_pose: 0.000207 loss_cons: 0.000376 -2023-07-28 04:12:17,697 Epoch: [190][200/631] Time 1.613s (1.568s) Speed 19.8 samples/s Data 0.000s (0.021s) Loss 0.000625 (0.000587) Accuracy 0.870 (0.888) loss_pose: 0.000216 loss_cons: 0.000409 -2023-07-28 04:14:52,549 Epoch: [190][300/631] Time 1.512s (1.562s) Speed 21.2 samples/s Data 0.000s (0.014s) Loss 0.000643 (0.000586) Accuracy 0.872 (0.888) loss_pose: 0.000203 loss_cons: 0.000439 -2023-07-28 04:17:27,257 Epoch: [190][400/631] Time 1.520s (1.558s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000578 (0.000588) Accuracy 0.843 (0.888) loss_pose: 0.000213 loss_cons: 0.000365 -2023-07-28 04:20:01,744 Epoch: [190][500/631] Time 1.523s (1.555s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000549 (0.000587) Accuracy 0.899 (0.889) loss_pose: 0.000205 loss_cons: 0.000344 -2023-07-28 04:22:37,093 Epoch: [190][600/631] Time 1.507s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000656 (0.000588) Accuracy 0.926 (0.890) loss_pose: 0.000209 loss_cons: 0.000447 -2023-07-28 04:23:22,453 Epoch: [190][630/631] Time 1.508s (1.553s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000587 (0.000589) Accuracy 0.910 (0.890) loss_pose: 0.000209 loss_cons: 0.000378 -2023-07-28 04:23:28,391 Test: [0/199] Time 3.779 (3.779) Loss 0.0002 (0.0002) Accuracy 0.901 (0.901) -2023-07-28 04:23:49,747 Test: [100/199] Time 0.204 (0.251) Loss 0.0002 (0.0002) Accuracy 0.917 (0.874) -2023-07-28 04:24:08,253 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0002) Accuracy 0.925 (0.873) -2023-07-28 04:24:09,886 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 04:24:19,731 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:24:19,768 The Predictions of Net 1 -2023-07-28 04:24:19,769 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:24:19,769 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:24:19,769 | 256x192_pose_dual_101_d256d256d256 | 0.7399 | 0.9261 | 0.8151 | 0.7149 | 0.7807 | 0.7708 | 0.9380 | 0.8386 | 0.7387 | 0.8195 | -2023-07-28 04:24:20,458 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 04:24:27,257 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:24:27,289 The Predictions of Net 2 -2023-07-28 04:24:27,291 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:24:27,291 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:24:27,291 | 256x192_pose_dual_101_d256d256d256 | 0.7373 | 0.9256 | 0.8237 | 0.7132 | 0.7775 | 0.7692 | 0.9351 | 0.8404 | 0.7374 | 0.8177 | -2023-07-28 04:24:27,978 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 04:24:32,696 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:24:32,730 Ensemble Predictions -2023-07-28 04:24:32,731 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:24:32,731 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:24:32,731 | 256x192_pose_dual_101_d256d256d256 | 0.7507 | 0.9354 | 0.8263 | 0.7275 | 0.7911 | 0.7802 | 0.9410 | 0.8487 | 0.7493 | 0.8271 | -2023-07-28 04:24:32,732 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 04:24:41,577 Epoch: [191][0/631] Time 5.911s (5.911s) Speed 5.4 samples/s Data 4.258s (4.258s) Loss 0.000495 (0.000495) Accuracy 0.920 (0.920) loss_pose: 0.000171 loss_cons: 0.000324 -2023-07-28 04:27:16,851 Epoch: [191][100/631] Time 1.606s (1.596s) Speed 19.9 samples/s Data 0.000s (0.043s) Loss 0.000522 (0.000586) Accuracy 0.907 (0.892) loss_pose: 0.000200 loss_cons: 0.000322 -2023-07-28 04:29:51,495 Epoch: [191][200/631] Time 1.511s (1.571s) Speed 21.2 samples/s Data 0.000s (0.022s) Loss 0.000618 (0.000591) Accuracy 0.879 (0.891) loss_pose: 0.000212 loss_cons: 0.000406 -2023-07-28 04:32:26,184 Epoch: [191][300/631] Time 1.515s (1.563s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000648 (0.000592) Accuracy 0.910 (0.891) loss_pose: 0.000167 loss_cons: 0.000481 -2023-07-28 04:35:00,276 Epoch: [191][400/631] Time 1.508s (1.558s) Speed 21.2 samples/s Data 0.000s (0.011s) Loss 0.000523 (0.000592) Accuracy 0.885 (0.891) loss_pose: 0.000190 loss_cons: 0.000333 -2023-07-28 04:37:34,548 Epoch: [191][500/631] Time 1.524s (1.555s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000610 (0.000593) Accuracy 0.897 (0.891) loss_pose: 0.000192 loss_cons: 0.000418 -2023-07-28 04:40:09,946 Epoch: [191][600/631] Time 1.523s (1.555s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000643 (0.000593) Accuracy 0.902 (0.891) loss_pose: 0.000201 loss_cons: 0.000442 -2023-07-28 04:40:55,334 Epoch: [191][630/631] Time 1.528s (1.553s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000683 (0.000593) Accuracy 0.915 (0.891) loss_pose: 0.000199 loss_cons: 0.000485 -2023-07-28 04:41:02,458 Test: [0/199] Time 4.701 (4.701) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-28 04:41:22,755 Test: [100/199] Time 0.205 (0.250) Loss 0.0002 (0.0002) Accuracy 0.900 (0.876) -2023-07-28 04:41:41,337 Test: [198/199] Time 0.138 (0.220) Loss 0.0002 (0.0002) Accuracy 0.894 (0.874) -2023-07-28 04:41:43,433 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 04:41:53,199 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:41:53,236 The Predictions of Net 1 -2023-07-28 04:41:53,237 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:41:53,238 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:41:53,238 | 256x192_pose_dual_101_d256d256d256 | 0.7381 | 0.9257 | 0.8159 | 0.7151 | 0.7808 | 0.7695 | 0.9359 | 0.8377 | 0.7365 | 0.8194 | -2023-07-28 04:41:54,002 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 04:41:58,899 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:41:58,935 The Predictions of Net 2 -2023-07-28 04:41:58,936 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:41:58,936 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:41:58,936 | 256x192_pose_dual_101_d256d256d256 | 0.7398 | 0.9261 | 0.8155 | 0.7154 | 0.7793 | 0.7706 | 0.9392 | 0.8391 | 0.7393 | 0.8180 | -2023-07-28 04:41:59,637 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 04:42:06,547 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:42:06,585 Ensemble Predictions -2023-07-28 04:42:06,585 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:42:06,586 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:42:06,586 | 256x192_pose_dual_101_d256d256d256 | 0.7510 | 0.9359 | 0.8278 | 0.7267 | 0.7916 | 0.7801 | 0.9418 | 0.8500 | 0.7487 | 0.8278 | -2023-07-28 04:42:06,587 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 04:42:15,372 Epoch: [192][0/631] Time 5.806s (5.806s) Speed 5.5 samples/s Data 4.125s (4.125s) Loss 0.000593 (0.000593) Accuracy 0.891 (0.891) loss_pose: 0.000208 loss_cons: 0.000384 -2023-07-28 04:44:50,406 Epoch: [192][100/631] Time 1.569s (1.592s) Speed 20.4 samples/s Data 0.000s (0.041s) Loss 0.000594 (0.000586) Accuracy 0.891 (0.890) loss_pose: 0.000198 loss_cons: 0.000396 -2023-07-28 04:47:24,855 Epoch: [192][200/631] Time 1.587s (1.569s) Speed 20.2 samples/s Data 0.000s (0.021s) Loss 0.000729 (0.000595) Accuracy 0.877 (0.888) loss_pose: 0.000219 loss_cons: 0.000511 -2023-07-28 04:49:58,970 Epoch: [192][300/631] Time 1.556s (1.559s) Speed 20.6 samples/s Data 0.001s (0.014s) Loss 0.000718 (0.000593) Accuracy 0.893 (0.891) loss_pose: 0.000225 loss_cons: 0.000493 -2023-07-28 04:52:31,285 Epoch: [192][400/631] Time 1.525s (1.550s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000648 (0.000594) Accuracy 0.891 (0.890) loss_pose: 0.000226 loss_cons: 0.000422 -2023-07-28 04:55:05,583 Epoch: [192][500/631] Time 1.541s (1.549s) Speed 20.8 samples/s Data 0.000s (0.009s) Loss 0.000515 (0.000595) Accuracy 0.893 (0.890) loss_pose: 0.000186 loss_cons: 0.000329 -2023-07-28 04:57:40,072 Epoch: [192][600/631] Time 1.520s (1.548s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000636 (0.000593) Accuracy 0.866 (0.890) loss_pose: 0.000222 loss_cons: 0.000414 -2023-07-28 04:58:25,455 Epoch: [192][630/631] Time 1.506s (1.547s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000650 (0.000593) Accuracy 0.866 (0.890) loss_pose: 0.000214 loss_cons: 0.000436 -2023-07-28 04:58:34,025 Test: [0/199] Time 6.355 (6.355) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-28 04:58:53,664 Test: [100/199] Time 0.198 (0.257) Loss 0.0002 (0.0002) Accuracy 0.911 (0.874) -2023-07-28 04:59:12,258 Test: [198/199] Time 0.134 (0.224) Loss 0.0002 (0.0002) Accuracy 0.936 (0.873) -2023-07-28 04:59:14,199 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 04:59:23,816 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:59:23,851 The Predictions of Net 1 -2023-07-28 04:59:23,852 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:59:23,852 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:59:23,852 | 256x192_pose_dual_101_d256d256d256 | 0.7403 | 0.9256 | 0.8158 | 0.7147 | 0.7822 | 0.7708 | 0.9364 | 0.8385 | 0.7380 | 0.8204 | -2023-07-28 04:59:24,540 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 04:59:29,330 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:59:29,364 The Predictions of Net 2 -2023-07-28 04:59:29,365 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:59:29,366 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:59:29,366 | 256x192_pose_dual_101_d256d256d256 | 0.7424 | 0.9259 | 0.8252 | 0.7197 | 0.7805 | 0.7737 | 0.9392 | 0.8441 | 0.7436 | 0.8194 | -2023-07-28 04:59:30,054 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 04:59:34,806 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 04:59:34,839 Ensemble Predictions -2023-07-28 04:59:34,840 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 04:59:34,840 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 04:59:34,840 | 256x192_pose_dual_101_d256d256d256 | 0.7515 | 0.9356 | 0.8274 | 0.7272 | 0.7923 | 0.7806 | 0.9406 | 0.8497 | 0.7493 | 0.8279 | -2023-07-28 04:59:34,841 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 04:59:42,971 Epoch: [193][0/631] Time 5.027s (5.027s) Speed 6.4 samples/s Data 3.316s (3.316s) Loss 0.000618 (0.000618) Accuracy 0.865 (0.865) loss_pose: 0.000225 loss_cons: 0.000392 -2023-07-28 05:02:19,232 Epoch: [193][100/631] Time 1.547s (1.597s) Speed 20.7 samples/s Data 0.000s (0.033s) Loss 0.000661 (0.000586) Accuracy 0.913 (0.889) loss_pose: 0.000211 loss_cons: 0.000450 -2023-07-28 05:04:54,769 Epoch: [193][200/631] Time 1.609s (1.576s) Speed 19.9 samples/s Data 0.000s (0.017s) Loss 0.000669 (0.000586) Accuracy 0.918 (0.891) loss_pose: 0.000212 loss_cons: 0.000457 -2023-07-28 05:07:30,720 Epoch: [193][300/631] Time 1.512s (1.571s) Speed 21.2 samples/s Data 0.000s (0.011s) Loss 0.000666 (0.000587) Accuracy 0.850 (0.892) loss_pose: 0.000223 loss_cons: 0.000443 -2023-07-28 05:10:06,226 Epoch: [193][400/631] Time 1.546s (1.567s) Speed 20.7 samples/s Data 0.000s (0.009s) Loss 0.000638 (0.000586) Accuracy 0.902 (0.891) loss_pose: 0.000234 loss_cons: 0.000404 -2023-07-28 05:12:42,838 Epoch: [193][500/631] Time 1.515s (1.567s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000602 (0.000585) Accuracy 0.891 (0.891) loss_pose: 0.000197 loss_cons: 0.000405 -2023-07-28 05:15:19,069 Epoch: [193][600/631] Time 1.507s (1.566s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000683 (0.000586) Accuracy 0.845 (0.890) loss_pose: 0.000256 loss_cons: 0.000427 -2023-07-28 05:16:04,572 Epoch: [193][630/631] Time 1.505s (1.564s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000580 (0.000587) Accuracy 0.910 (0.891) loss_pose: 0.000184 loss_cons: 0.000396 -2023-07-28 05:16:11,895 Test: [0/199] Time 4.822 (4.822) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-28 05:16:32,044 Test: [100/199] Time 0.195 (0.250) Loss 0.0002 (0.0002) Accuracy 0.927 (0.877) -2023-07-28 05:16:50,657 Test: [198/199] Time 0.135 (0.220) Loss 0.0002 (0.0002) Accuracy 0.921 (0.877) -2023-07-28 05:16:52,246 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 05:17:04,064 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:17:04,100 The Predictions of Net 1 -2023-07-28 05:17:04,101 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:17:04,101 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:17:04,101 | 256x192_pose_dual_101_d256d256d256 | 0.7408 | 0.9257 | 0.8239 | 0.7177 | 0.7821 | 0.7733 | 0.9370 | 0.8427 | 0.7410 | 0.8220 | -2023-07-28 05:17:04,787 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 05:17:09,472 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:17:09,503 The Predictions of Net 2 -2023-07-28 05:17:09,505 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:17:09,505 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:17:09,505 | 256x192_pose_dual_101_d256d256d256 | 0.7423 | 0.9256 | 0.8239 | 0.7190 | 0.7829 | 0.7739 | 0.9381 | 0.8418 | 0.7423 | 0.8214 | -2023-07-28 05:17:10,190 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 05:17:14,838 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:17:14,872 Ensemble Predictions -2023-07-28 05:17:14,873 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:17:14,873 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:17:14,873 | 256x192_pose_dual_101_d256d256d256 | 0.7543 | 0.9359 | 0.8358 | 0.7287 | 0.7925 | 0.7829 | 0.9414 | 0.8525 | 0.7515 | 0.8303 | -2023-07-28 05:17:14,874 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 05:17:22,971 Epoch: [194][0/631] Time 5.220s (5.220s) Speed 6.1 samples/s Data 3.488s (3.488s) Loss 0.000537 (0.000537) Accuracy 0.887 (0.887) loss_pose: 0.000209 loss_cons: 0.000328 -2023-07-28 05:20:09,151 Epoch: [194][100/631] Time 1.529s (1.697s) Speed 20.9 samples/s Data 0.000s (0.035s) Loss 0.000529 (0.000590) Accuracy 0.885 (0.885) loss_pose: 0.000202 loss_cons: 0.000326 -2023-07-28 05:22:43,062 Epoch: [194][200/631] Time 1.517s (1.618s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000522 (0.000590) Accuracy 0.889 (0.887) loss_pose: 0.000207 loss_cons: 0.000315 -2023-07-28 05:25:19,033 Epoch: [194][300/631] Time 1.516s (1.599s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000720 (0.000586) Accuracy 0.847 (0.888) loss_pose: 0.000227 loss_cons: 0.000493 -2023-07-28 05:27:52,683 Epoch: [194][400/631] Time 1.643s (1.583s) Speed 19.5 samples/s Data 0.000s (0.009s) Loss 0.000611 (0.000590) Accuracy 0.900 (0.888) loss_pose: 0.000201 loss_cons: 0.000410 -2023-07-28 05:30:27,031 Epoch: [194][500/631] Time 1.610s (1.575s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000605 (0.000592) Accuracy 0.882 (0.889) loss_pose: 0.000201 loss_cons: 0.000403 -2023-07-28 05:33:01,483 Epoch: [194][600/631] Time 1.510s (1.570s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000622 (0.000592) Accuracy 0.865 (0.889) loss_pose: 0.000188 loss_cons: 0.000434 -2023-07-28 05:33:46,994 Epoch: [194][630/631] Time 1.518s (1.568s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000515 (0.000592) Accuracy 0.884 (0.889) loss_pose: 0.000189 loss_cons: 0.000326 -2023-07-28 05:33:54,621 Test: [0/199] Time 5.539 (5.539) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-28 05:34:14,990 Test: [100/199] Time 0.200 (0.257) Loss 0.0002 (0.0002) Accuracy 0.906 (0.876) -2023-07-28 05:34:33,902 Test: [198/199] Time 0.196 (0.225) Loss 0.0002 (0.0002) Accuracy 0.894 (0.874) -2023-07-28 05:34:34,973 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 05:34:44,637 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:34:44,682 The Predictions of Net 1 -2023-07-28 05:34:44,683 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:34:44,683 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:34:44,684 | 256x192_pose_dual_101_d256d256d256 | 0.7371 | 0.9262 | 0.8249 | 0.7131 | 0.7773 | 0.7693 | 0.9378 | 0.8426 | 0.7369 | 0.8182 | -2023-07-28 05:34:45,385 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 05:34:52,445 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:34:52,490 The Predictions of Net 2 -2023-07-28 05:34:52,491 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:34:52,491 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:34:52,492 | 256x192_pose_dual_101_d256d256d256 | 0.7344 | 0.9258 | 0.8146 | 0.7125 | 0.7752 | 0.7687 | 0.9386 | 0.8397 | 0.7363 | 0.8176 | -2023-07-28 05:34:53,182 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 05:34:58,023 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:34:58,059 Ensemble Predictions -2023-07-28 05:34:58,060 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:34:58,060 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:34:58,060 | 256x192_pose_dual_101_d256d256d256 | 0.7485 | 0.9358 | 0.8350 | 0.7233 | 0.7881 | 0.7784 | 0.9416 | 0.8506 | 0.7460 | 0.8271 | -2023-07-28 05:34:58,062 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 05:35:06,039 Epoch: [195][0/631] Time 4.986s (4.986s) Speed 6.4 samples/s Data 3.209s (3.209s) Loss 0.000614 (0.000614) Accuracy 0.892 (0.892) loss_pose: 0.000226 loss_cons: 0.000388 -2023-07-28 05:37:41,138 Epoch: [195][100/631] Time 1.569s (1.585s) Speed 20.4 samples/s Data 0.000s (0.032s) Loss 0.000611 (0.000592) Accuracy 0.880 (0.886) loss_pose: 0.000212 loss_cons: 0.000399 -2023-07-28 05:40:17,390 Epoch: [195][200/631] Time 1.518s (1.574s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000667 (0.000589) Accuracy 0.836 (0.888) loss_pose: 0.000236 loss_cons: 0.000431 -2023-07-28 05:42:52,183 Epoch: [195][300/631] Time 1.575s (1.565s) Speed 20.3 samples/s Data 0.000s (0.011s) Loss 0.000507 (0.000588) Accuracy 0.901 (0.888) loss_pose: 0.000182 loss_cons: 0.000326 -2023-07-28 05:45:27,556 Epoch: [195][400/631] Time 1.590s (1.562s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000545 (0.000590) Accuracy 0.918 (0.888) loss_pose: 0.000179 loss_cons: 0.000366 -2023-07-28 05:48:01,650 Epoch: [195][500/631] Time 1.572s (1.558s) Speed 20.4 samples/s Data 0.000s (0.007s) Loss 0.000655 (0.000590) Accuracy 0.894 (0.888) loss_pose: 0.000229 loss_cons: 0.000427 -2023-07-28 05:50:35,201 Epoch: [195][600/631] Time 1.507s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000674 (0.000590) Accuracy 0.912 (0.888) loss_pose: 0.000188 loss_cons: 0.000486 -2023-07-28 05:51:20,970 Epoch: [195][630/631] Time 1.604s (1.553s) Speed 20.0 samples/s Data 0.000s (0.005s) Loss 0.000612 (0.000590) Accuracy 0.907 (0.888) loss_pose: 0.000176 loss_cons: 0.000436 -2023-07-28 05:51:27,892 Test: [0/199] Time 4.627 (4.627) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-28 05:51:48,288 Test: [100/199] Time 0.199 (0.250) Loss 0.0002 (0.0002) Accuracy 0.908 (0.875) -2023-07-28 05:52:06,875 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.966 (0.873) -2023-07-28 05:52:08,669 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 05:52:18,363 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:52:18,399 The Predictions of Net 1 -2023-07-28 05:52:18,401 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:52:18,402 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:52:18,402 | 256x192_pose_dual_101_d256d256d256 | 0.7384 | 0.9252 | 0.8247 | 0.7138 | 0.7812 | 0.7697 | 0.9339 | 0.8445 | 0.7374 | 0.8188 | -2023-07-28 05:52:19,115 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 05:52:23,965 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:52:23,999 The Predictions of Net 2 -2023-07-28 05:52:24,000 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:52:24,000 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:52:24,000 | 256x192_pose_dual_101_d256d256d256 | 0.7417 | 0.9257 | 0.8254 | 0.7177 | 0.7820 | 0.7729 | 0.9380 | 0.8441 | 0.7411 | 0.8210 | -2023-07-28 05:52:24,714 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 05:52:31,705 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 05:52:31,739 Ensemble Predictions -2023-07-28 05:52:31,740 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 05:52:31,741 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 05:52:31,741 | 256x192_pose_dual_101_d256d256d256 | 0.7489 | 0.9264 | 0.8268 | 0.7274 | 0.7911 | 0.7800 | 0.9391 | 0.8500 | 0.7492 | 0.8272 | -2023-07-28 05:52:31,742 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 05:52:40,635 Epoch: [196][0/631] Time 5.999s (5.999s) Speed 5.3 samples/s Data 4.329s (4.329s) Loss 0.000578 (0.000578) Accuracy 0.896 (0.896) loss_pose: 0.000222 loss_cons: 0.000356 -2023-07-28 05:55:16,108 Epoch: [196][100/631] Time 1.523s (1.599s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000485 (0.000581) Accuracy 0.918 (0.895) loss_pose: 0.000174 loss_cons: 0.000311 -2023-07-28 05:57:52,354 Epoch: [196][200/631] Time 1.562s (1.581s) Speed 20.5 samples/s Data 0.000s (0.022s) Loss 0.000694 (0.000580) Accuracy 0.793 (0.894) loss_pose: 0.000250 loss_cons: 0.000444 -2023-07-28 06:00:24,867 Epoch: [196][300/631] Time 1.518s (1.562s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000639 (0.000582) Accuracy 0.906 (0.892) loss_pose: 0.000207 loss_cons: 0.000432 -2023-07-28 06:02:58,419 Epoch: [196][400/631] Time 1.522s (1.556s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000532 (0.000585) Accuracy 0.863 (0.891) loss_pose: 0.000213 loss_cons: 0.000319 -2023-07-28 06:05:32,047 Epoch: [196][500/631] Time 1.579s (1.552s) Speed 20.3 samples/s Data 0.000s (0.009s) Loss 0.000521 (0.000585) Accuracy 0.899 (0.892) loss_pose: 0.000174 loss_cons: 0.000347 -2023-07-28 06:08:04,815 Epoch: [196][600/631] Time 1.501s (1.548s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000560 (0.000587) Accuracy 0.902 (0.892) loss_pose: 0.000181 loss_cons: 0.000380 -2023-07-28 06:08:50,250 Epoch: [196][630/631] Time 1.605s (1.546s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000536 (0.000586) Accuracy 0.918 (0.892) loss_pose: 0.000192 loss_cons: 0.000345 -2023-07-28 06:08:58,126 Test: [0/199] Time 5.916 (5.916) Loss 0.0002 (0.0002) Accuracy 0.899 (0.899) -2023-07-28 06:09:17,813 Test: [100/199] Time 0.197 (0.254) Loss 0.0002 (0.0002) Accuracy 0.925 (0.877) -2023-07-28 06:09:36,283 Test: [198/199] Time 0.139 (0.222) Loss 0.0002 (0.0002) Accuracy 0.918 (0.876) -2023-07-28 06:09:37,946 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 06:09:47,580 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:09:47,621 The Predictions of Net 1 -2023-07-28 06:09:47,622 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:09:47,623 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:09:47,623 | 256x192_pose_dual_101_d256d256d256 | 0.7435 | 0.9262 | 0.8260 | 0.7202 | 0.7831 | 0.7737 | 0.9367 | 0.8463 | 0.7419 | 0.8220 | -2023-07-28 06:09:48,318 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 06:09:53,041 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:09:53,075 The Predictions of Net 2 -2023-07-28 06:09:53,076 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:09:53,076 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:09:53,076 | 256x192_pose_dual_101_d256d256d256 | 0.7479 | 0.9359 | 0.8270 | 0.7222 | 0.7873 | 0.7761 | 0.9408 | 0.8490 | 0.7451 | 0.8230 | -2023-07-28 06:09:53,769 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 06:09:58,517 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:09:58,550 Ensemble Predictions -2023-07-28 06:09:58,551 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:09:58,551 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:09:58,552 | 256x192_pose_dual_101_d256d256d256 | 0.7562 | 0.9362 | 0.8383 | 0.7319 | 0.7963 | 0.7846 | 0.9432 | 0.8580 | 0.7544 | 0.8307 | -2023-07-28 06:09:58,552 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 06:10:08,598 Epoch: [197][0/631] Time 6.025s (6.025s) Speed 5.3 samples/s Data 4.324s (4.324s) Loss 0.000537 (0.000537) Accuracy 0.873 (0.873) loss_pose: 0.000239 loss_cons: 0.000299 -2023-07-28 06:12:44,902 Epoch: [197][100/631] Time 1.588s (1.607s) Speed 20.1 samples/s Data 0.000s (0.043s) Loss 0.000638 (0.000585) Accuracy 0.889 (0.889) loss_pose: 0.000221 loss_cons: 0.000417 -2023-07-28 06:15:20,357 Epoch: [197][200/631] Time 1.515s (1.581s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000621 (0.000586) Accuracy 0.872 (0.890) loss_pose: 0.000207 loss_cons: 0.000414 -2023-07-28 06:17:55,312 Epoch: [197][300/631] Time 1.519s (1.571s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000539 (0.000589) Accuracy 0.922 (0.889) loss_pose: 0.000187 loss_cons: 0.000352 -2023-07-28 06:20:30,447 Epoch: [197][400/631] Time 1.551s (1.566s) Speed 20.6 samples/s Data 0.001s (0.011s) Loss 0.000636 (0.000588) Accuracy 0.883 (0.890) loss_pose: 0.000199 loss_cons: 0.000437 -2023-07-28 06:23:05,305 Epoch: [197][500/631] Time 1.519s (1.562s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000608 (0.000586) Accuracy 0.910 (0.891) loss_pose: 0.000193 loss_cons: 0.000415 -2023-07-28 06:25:39,327 Epoch: [197][600/631] Time 1.507s (1.559s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000655 (0.000587) Accuracy 0.834 (0.891) loss_pose: 0.000257 loss_cons: 0.000398 -2023-07-28 06:26:25,269 Epoch: [197][630/631] Time 1.505s (1.557s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000577 (0.000588) Accuracy 0.905 (0.891) loss_pose: 0.000197 loss_cons: 0.000379 -2023-07-28 06:26:33,557 Test: [0/199] Time 5.884 (5.884) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-28 06:26:53,420 Test: [100/199] Time 0.210 (0.255) Loss 0.0002 (0.0002) Accuracy 0.912 (0.877) -2023-07-28 06:27:12,012 Test: [198/199] Time 0.154 (0.223) Loss 0.0002 (0.0002) Accuracy 0.927 (0.875) -2023-07-28 06:27:17,049 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 06:27:25,827 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:27:25,863 The Predictions of Net 1 -2023-07-28 06:27:25,864 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:27:25,865 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:27:25,865 | 256x192_pose_dual_101_d256d256d256 | 0.7398 | 0.9259 | 0.8157 | 0.7172 | 0.7835 | 0.7720 | 0.9355 | 0.8397 | 0.7395 | 0.8217 | -2023-07-28 06:27:26,551 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 06:27:31,323 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:27:31,357 The Predictions of Net 2 -2023-07-28 06:27:31,358 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:27:31,358 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:27:31,358 | 256x192_pose_dual_101_d256d256d256 | 0.7405 | 0.9258 | 0.8250 | 0.7198 | 0.7788 | 0.7719 | 0.9378 | 0.8419 | 0.7418 | 0.8178 | -2023-07-28 06:27:32,048 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 06:27:36,866 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:27:36,901 Ensemble Predictions -2023-07-28 06:27:36,901 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:27:36,902 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:27:36,903 | 256x192_pose_dual_101_d256d256d256 | 0.7524 | 0.9361 | 0.8272 | 0.7289 | 0.7898 | 0.7807 | 0.9425 | 0.8498 | 0.7502 | 0.8275 | -2023-07-28 06:27:36,904 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 06:27:45,142 Epoch: [198][0/631] Time 5.107s (5.107s) Speed 6.3 samples/s Data 3.372s (3.372s) Loss 0.000543 (0.000543) Accuracy 0.892 (0.892) loss_pose: 0.000227 loss_cons: 0.000316 -2023-07-28 06:30:22,559 Epoch: [198][100/631] Time 1.578s (1.609s) Speed 20.3 samples/s Data 0.000s (0.034s) Loss 0.000474 (0.000590) Accuracy 0.890 (0.891) loss_pose: 0.000182 loss_cons: 0.000293 -2023-07-28 06:32:58,882 Epoch: [198][200/631] Time 1.514s (1.586s) Speed 21.1 samples/s Data 0.000s (0.017s) Loss 0.000650 (0.000590) Accuracy 0.882 (0.889) loss_pose: 0.000217 loss_cons: 0.000433 -2023-07-28 06:35:33,498 Epoch: [198][300/631] Time 1.527s (1.573s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000647 (0.000591) Accuracy 0.890 (0.890) loss_pose: 0.000198 loss_cons: 0.000449 -2023-07-28 06:38:08,356 Epoch: [198][400/631] Time 1.605s (1.567s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000630 (0.000590) Accuracy 0.935 (0.890) loss_pose: 0.000180 loss_cons: 0.000451 -2023-07-28 06:40:42,273 Epoch: [198][500/631] Time 1.545s (1.561s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.000551 (0.000589) Accuracy 0.886 (0.890) loss_pose: 0.000171 loss_cons: 0.000380 -2023-07-28 06:43:15,858 Epoch: [198][600/631] Time 1.518s (1.557s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000608 (0.000589) Accuracy 0.844 (0.890) loss_pose: 0.000226 loss_cons: 0.000382 -2023-07-28 06:44:01,227 Epoch: [198][630/631] Time 1.509s (1.555s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000555 (0.000590) Accuracy 0.886 (0.890) loss_pose: 0.000207 loss_cons: 0.000348 -2023-07-28 06:44:08,197 Test: [0/199] Time 4.858 (4.858) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-28 06:44:28,928 Test: [100/199] Time 0.200 (0.256) Loss 0.0002 (0.0002) Accuracy 0.915 (0.877) -2023-07-28 06:44:47,634 Test: [198/199] Time 0.153 (0.224) Loss 0.0002 (0.0002) Accuracy 0.932 (0.876) -2023-07-28 06:44:49,230 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 06:45:01,078 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:45:01,116 The Predictions of Net 1 -2023-07-28 06:45:01,117 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:45:01,117 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:45:01,117 | 256x192_pose_dual_101_d256d256d256 | 0.7401 | 0.9257 | 0.8145 | 0.7190 | 0.7788 | 0.7727 | 0.9383 | 0.8394 | 0.7425 | 0.8189 | -2023-07-28 06:45:01,805 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 06:45:06,549 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:45:06,582 The Predictions of Net 2 -2023-07-28 06:45:06,583 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:45:06,584 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:45:06,584 | 256x192_pose_dual_101_d256d256d256 | 0.7410 | 0.9253 | 0.8250 | 0.7183 | 0.7799 | 0.7718 | 0.9367 | 0.8412 | 0.7411 | 0.8185 | -2023-07-28 06:45:07,280 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 06:45:12,075 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 06:45:12,108 Ensemble Predictions -2023-07-28 06:45:12,109 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 06:45:12,110 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 06:45:12,110 | 256x192_pose_dual_101_d256d256d256 | 0.7511 | 0.9260 | 0.8263 | 0.7296 | 0.7892 | 0.7809 | 0.9399 | 0.8493 | 0.7511 | 0.8266 | -2023-07-28 06:45:12,111 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 06:45:20,687 Epoch: [199][0/631] Time 5.605s (5.605s) Speed 5.7 samples/s Data 3.872s (3.872s) Loss 0.000507 (0.000507) Accuracy 0.941 (0.941) loss_pose: 0.000167 loss_cons: 0.000340 -2023-07-28 06:47:57,231 Epoch: [199][100/631] Time 1.538s (1.605s) Speed 20.8 samples/s Data 0.000s (0.039s) Loss 0.000464 (0.000587) Accuracy 0.933 (0.888) loss_pose: 0.000182 loss_cons: 0.000282 -2023-07-28 06:50:33,306 Epoch: [199][200/631] Time 1.584s (1.583s) Speed 20.2 samples/s Data 0.000s (0.020s) Loss 0.000570 (0.000589) Accuracy 0.952 (0.890) loss_pose: 0.000153 loss_cons: 0.000418 -2023-07-28 06:53:09,174 Epoch: [199][300/631] Time 1.512s (1.575s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000578 (0.000588) Accuracy 0.868 (0.892) loss_pose: 0.000216 loss_cons: 0.000363 -2023-07-28 06:55:43,400 Epoch: [199][400/631] Time 1.515s (1.567s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000618 (0.000590) Accuracy 0.870 (0.892) loss_pose: 0.000210 loss_cons: 0.000408 -2023-07-28 06:58:17,773 Epoch: [199][500/631] Time 1.515s (1.562s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000604 (0.000589) Accuracy 0.899 (0.892) loss_pose: 0.000201 loss_cons: 0.000403 -2023-07-28 07:00:52,185 Epoch: [199][600/631] Time 1.543s (1.559s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.000614 (0.000589) Accuracy 0.898 (0.892) loss_pose: 0.000228 loss_cons: 0.000386 -2023-07-28 07:01:37,698 Epoch: [199][630/631] Time 1.515s (1.557s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000647 (0.000589) Accuracy 0.817 (0.892) loss_pose: 0.000287 loss_cons: 0.000360 -2023-07-28 07:01:45,661 Test: [0/199] Time 5.622 (5.622) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-28 07:02:05,638 Test: [100/199] Time 0.210 (0.254) Loss 0.0002 (0.0002) Accuracy 0.906 (0.876) -2023-07-28 07:02:24,326 Test: [198/199] Time 0.155 (0.223) Loss 0.0002 (0.0002) Accuracy 0.926 (0.873) -2023-07-28 07:02:26,074 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 07:02:35,543 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:02:35,590 The Predictions of Net 1 -2023-07-28 07:02:35,590 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:02:35,591 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:02:35,591 | 256x192_pose_dual_101_d256d256d256 | 0.7383 | 0.9255 | 0.8245 | 0.7148 | 0.7789 | 0.7693 | 0.9369 | 0.8440 | 0.7373 | 0.8178 | -2023-07-28 07:02:36,291 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 07:02:41,160 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:02:41,199 The Predictions of Net 2 -2023-07-28 07:02:41,200 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:02:41,200 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:02:41,200 | 256x192_pose_dual_101_d256d256d256 | 0.7422 | 0.9353 | 0.8243 | 0.7186 | 0.7810 | 0.7726 | 0.9406 | 0.8430 | 0.7422 | 0.8188 | -2023-07-28 07:02:43,973 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 07:02:48,810 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:02:48,845 Ensemble Predictions -2023-07-28 07:02:48,845 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:02:48,846 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:02:48,846 | 256x192_pose_dual_101_d256d256d256 | 0.7522 | 0.9357 | 0.8358 | 0.7257 | 0.7922 | 0.7797 | 0.9418 | 0.8514 | 0.7480 | 0.8276 | -2023-07-28 07:02:48,847 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 07:02:57,669 Epoch: [200][0/631] Time 5.631s (5.631s) Speed 5.7 samples/s Data 3.932s (3.932s) Loss 0.000482 (0.000482) Accuracy 0.855 (0.855) loss_pose: 0.000207 loss_cons: 0.000274 -2023-07-28 07:05:32,385 Epoch: [200][100/631] Time 1.515s (1.588s) Speed 21.1 samples/s Data 0.001s (0.039s) Loss 0.000543 (0.000585) Accuracy 0.911 (0.897) loss_pose: 0.000174 loss_cons: 0.000369 -2023-07-28 07:08:08,195 Epoch: [200][200/631] Time 1.582s (1.573s) Speed 20.2 samples/s Data 0.000s (0.020s) Loss 0.000644 (0.000584) Accuracy 0.900 (0.896) loss_pose: 0.000207 loss_cons: 0.000437 -2023-07-28 07:10:41,706 Epoch: [200][300/631] Time 1.594s (1.560s) Speed 20.1 samples/s Data 0.000s (0.013s) Loss 0.000603 (0.000585) Accuracy 0.902 (0.896) loss_pose: 0.000200 loss_cons: 0.000402 -2023-07-28 07:13:15,064 Epoch: [200][400/631] Time 1.610s (1.554s) Speed 19.9 samples/s Data 0.000s (0.010s) Loss 0.000551 (0.000587) Accuracy 0.905 (0.895) loss_pose: 0.000183 loss_cons: 0.000368 -2023-07-28 07:15:47,896 Epoch: [200][500/631] Time 1.522s (1.549s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000530 (0.000586) Accuracy 0.930 (0.894) loss_pose: 0.000158 loss_cons: 0.000372 -2023-07-28 07:18:21,104 Epoch: [200][600/631] Time 1.518s (1.546s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000642 (0.000586) Accuracy 0.886 (0.894) loss_pose: 0.000208 loss_cons: 0.000435 -2023-07-28 07:19:06,462 Epoch: [200][630/631] Time 1.507s (1.544s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000523 (0.000586) Accuracy 0.885 (0.893) loss_pose: 0.000212 loss_cons: 0.000311 -2023-07-28 07:19:13,668 Test: [0/199] Time 4.889 (4.889) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-28 07:19:34,231 Test: [100/199] Time 0.206 (0.254) Loss 0.0002 (0.0002) Accuracy 0.919 (0.877) -2023-07-28 07:19:53,024 Test: [198/199] Time 0.183 (0.224) Loss 0.0002 (0.0002) Accuracy 0.931 (0.875) -2023-07-28 07:19:54,586 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 07:20:03,590 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:20:03,628 The Predictions of Net 1 -2023-07-28 07:20:03,629 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:20:03,629 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:20:03,629 | 256x192_pose_dual_101_d256d256d256 | 0.7427 | 0.9257 | 0.8253 | 0.7197 | 0.7835 | 0.7738 | 0.9384 | 0.8451 | 0.7419 | 0.8225 | -2023-07-28 07:20:04,338 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 07:20:09,203 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:20:09,240 The Predictions of Net 2 -2023-07-28 07:20:09,241 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:20:09,242 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:20:09,242 | 256x192_pose_dual_101_d256d256d256 | 0.7427 | 0.9256 | 0.8244 | 0.7187 | 0.7841 | 0.7737 | 0.9380 | 0.8448 | 0.7409 | 0.8230 | -2023-07-28 07:20:09,941 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 07:20:14,699 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:20:14,737 Ensemble Predictions -2023-07-28 07:20:14,737 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:20:14,738 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:20:14,738 | 256x192_pose_dual_101_d256d256d256 | 0.7541 | 0.9356 | 0.8363 | 0.7297 | 0.7968 | 0.7837 | 0.9447 | 0.8545 | 0.7519 | 0.8320 | -2023-07-28 07:20:14,739 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 07:20:24,087 Epoch: [201][0/631] Time 6.292s (6.292s) Speed 5.1 samples/s Data 4.584s (4.584s) Loss 0.000530 (0.000530) Accuracy 0.899 (0.899) loss_pose: 0.000228 loss_cons: 0.000301 -2023-07-28 07:23:00,095 Epoch: [201][100/631] Time 1.528s (1.607s) Speed 20.9 samples/s Data 0.000s (0.046s) Loss 0.000517 (0.000585) Accuracy 0.923 (0.892) loss_pose: 0.000157 loss_cons: 0.000360 -2023-07-28 07:25:39,372 Epoch: [201][200/631] Time 1.619s (1.600s) Speed 19.8 samples/s Data 0.000s (0.023s) Loss 0.000609 (0.000589) Accuracy 0.875 (0.891) loss_pose: 0.000240 loss_cons: 0.000369 -2023-07-28 07:28:16,222 Epoch: [201][300/631] Time 1.556s (1.589s) Speed 20.6 samples/s Data 0.000s (0.016s) Loss 0.000644 (0.000588) Accuracy 0.916 (0.893) loss_pose: 0.000194 loss_cons: 0.000450 -2023-07-28 07:30:52,811 Epoch: [201][400/631] Time 1.559s (1.584s) Speed 20.5 samples/s Data 0.000s (0.012s) Loss 0.000532 (0.000589) Accuracy 0.924 (0.893) loss_pose: 0.000201 loss_cons: 0.000331 -2023-07-28 07:33:29,367 Epoch: [201][500/631] Time 1.519s (1.580s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000542 (0.000588) Accuracy 0.943 (0.893) loss_pose: 0.000182 loss_cons: 0.000360 -2023-07-28 07:36:05,455 Epoch: [201][600/631] Time 1.516s (1.577s) Speed 21.1 samples/s Data 0.001s (0.008s) Loss 0.000615 (0.000588) Accuracy 0.913 (0.892) loss_pose: 0.000192 loss_cons: 0.000423 -2023-07-28 07:36:52,109 Epoch: [201][630/631] Time 1.532s (1.576s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000607 (0.000588) Accuracy 0.922 (0.892) loss_pose: 0.000190 loss_cons: 0.000417 -2023-07-28 07:36:59,304 Test: [0/199] Time 4.468 (4.468) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-28 07:37:20,392 Test: [100/199] Time 0.201 (0.255) Loss 0.0002 (0.0002) Accuracy 0.926 (0.877) -2023-07-28 07:37:39,216 Test: [198/199] Time 0.163 (0.224) Loss 0.0002 (0.0002) Accuracy 0.942 (0.874) -2023-07-28 07:37:40,654 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 07:37:49,846 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:37:49,885 The Predictions of Net 1 -2023-07-28 07:37:49,886 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:37:49,886 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:37:49,886 | 256x192_pose_dual_101_d256d256d256 | 0.7403 | 0.9253 | 0.8244 | 0.7166 | 0.7856 | 0.7724 | 0.9364 | 0.8427 | 0.7391 | 0.8229 | -2023-07-28 07:37:50,612 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 07:37:55,579 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:37:55,622 The Predictions of Net 2 -2023-07-28 07:37:55,623 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:37:55,624 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:37:55,624 | 256x192_pose_dual_101_d256d256d256 | 0.7436 | 0.9260 | 0.8251 | 0.7185 | 0.7864 | 0.7742 | 0.9386 | 0.8445 | 0.7414 | 0.8237 | -2023-07-28 07:37:56,330 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 07:38:01,325 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:38:01,373 Ensemble Predictions -2023-07-28 07:38:01,373 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:38:01,374 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:38:01,374 | 256x192_pose_dual_101_d256d256d256 | 0.7541 | 0.9358 | 0.8358 | 0.7270 | 0.7962 | 0.7828 | 0.9425 | 0.8530 | 0.7500 | 0.8325 | -2023-07-28 07:38:01,375 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 07:38:10,771 Epoch: [202][0/631] Time 6.296s (6.296s) Speed 5.1 samples/s Data 4.621s (4.621s) Loss 0.000555 (0.000555) Accuracy 0.896 (0.896) loss_pose: 0.000194 loss_cons: 0.000362 -2023-07-28 07:40:46,800 Epoch: [202][100/631] Time 1.529s (1.607s) Speed 20.9 samples/s Data 0.000s (0.046s) Loss 0.000577 (0.000589) Accuracy 0.888 (0.892) loss_pose: 0.000203 loss_cons: 0.000375 -2023-07-28 07:43:22,231 Epoch: [202][200/631] Time 1.562s (1.581s) Speed 20.5 samples/s Data 0.001s (0.023s) Loss 0.000523 (0.000590) Accuracy 0.927 (0.892) loss_pose: 0.000167 loss_cons: 0.000356 -2023-07-28 07:45:59,210 Epoch: [202][300/631] Time 1.560s (1.577s) Speed 20.5 samples/s Data 0.000s (0.016s) Loss 0.000701 (0.000588) Accuracy 0.881 (0.892) loss_pose: 0.000234 loss_cons: 0.000466 -2023-07-28 07:48:35,270 Epoch: [202][400/631] Time 1.563s (1.573s) Speed 20.5 samples/s Data 0.000s (0.012s) Loss 0.000541 (0.000586) Accuracy 0.921 (0.892) loss_pose: 0.000189 loss_cons: 0.000352 -2023-07-28 07:51:14,127 Epoch: [202][500/631] Time 1.523s (1.576s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000660 (0.000584) Accuracy 0.798 (0.892) loss_pose: 0.000267 loss_cons: 0.000393 -2023-07-28 07:53:54,043 Epoch: [202][600/631] Time 1.628s (1.580s) Speed 19.7 samples/s Data 0.001s (0.008s) Loss 0.000649 (0.000586) Accuracy 0.882 (0.892) loss_pose: 0.000196 loss_cons: 0.000454 -2023-07-28 07:54:40,485 Epoch: [202][630/631] Time 1.533s (1.578s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000509 (0.000586) Accuracy 0.923 (0.891) loss_pose: 0.000187 loss_cons: 0.000322 -2023-07-28 07:54:47,504 Test: [0/199] Time 4.625 (4.625) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-28 07:55:08,007 Test: [100/199] Time 0.199 (0.251) Loss 0.0002 (0.0002) Accuracy 0.915 (0.874) -2023-07-28 07:55:26,825 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.971 (0.872) -2023-07-28 07:55:27,806 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 07:55:38,975 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:55:39,017 The Predictions of Net 1 -2023-07-28 07:55:39,018 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:55:39,019 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:55:39,019 | 256x192_pose_dual_101_d256d256d256 | 0.7406 | 0.9262 | 0.8240 | 0.7173 | 0.7800 | 0.7727 | 0.9388 | 0.8429 | 0.7406 | 0.8213 | -2023-07-28 07:55:39,711 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 07:55:44,827 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:55:44,867 The Predictions of Net 2 -2023-07-28 07:55:44,867 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:55:44,868 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:55:44,869 | 256x192_pose_dual_101_d256d256d256 | 0.7416 | 0.9258 | 0.8255 | 0.7180 | 0.7829 | 0.7726 | 0.9397 | 0.8462 | 0.7412 | 0.8204 | -2023-07-28 07:55:45,554 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 07:55:50,380 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 07:55:50,416 Ensemble Predictions -2023-07-28 07:55:50,417 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 07:55:50,417 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 07:55:50,417 | 256x192_pose_dual_101_d256d256d256 | 0.7517 | 0.9360 | 0.8355 | 0.7281 | 0.7918 | 0.7821 | 0.9435 | 0.8511 | 0.7507 | 0.8297 | -2023-07-28 07:55:50,419 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 07:55:59,390 Epoch: [203][0/631] Time 6.003s (6.003s) Speed 5.3 samples/s Data 4.345s (4.345s) Loss 0.000500 (0.000500) Accuracy 0.869 (0.869) loss_pose: 0.000220 loss_cons: 0.000279 -2023-07-28 07:58:43,975 Epoch: [203][100/631] Time 1.524s (1.689s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000487 (0.000581) Accuracy 0.900 (0.889) loss_pose: 0.000179 loss_cons: 0.000308 -2023-07-28 08:01:19,323 Epoch: [203][200/631] Time 1.518s (1.622s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000489 (0.000587) Accuracy 0.925 (0.890) loss_pose: 0.000169 loss_cons: 0.000321 -2023-07-28 08:03:54,502 Epoch: [203][300/631] Time 1.610s (1.598s) Speed 19.9 samples/s Data 0.000s (0.015s) Loss 0.000620 (0.000587) Accuracy 0.897 (0.890) loss_pose: 0.000199 loss_cons: 0.000421 -2023-07-28 08:06:28,536 Epoch: [203][400/631] Time 1.623s (1.584s) Speed 19.7 samples/s Data 0.000s (0.011s) Loss 0.000589 (0.000585) Accuracy 0.906 (0.891) loss_pose: 0.000181 loss_cons: 0.000408 -2023-07-28 08:09:02,752 Epoch: [203][500/631] Time 1.605s (1.576s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000676 (0.000583) Accuracy 0.872 (0.892) loss_pose: 0.000233 loss_cons: 0.000442 -2023-07-28 08:11:38,043 Epoch: [203][600/631] Time 1.580s (1.572s) Speed 20.3 samples/s Data 0.000s (0.008s) Loss 0.000581 (0.000584) Accuracy 0.890 (0.891) loss_pose: 0.000187 loss_cons: 0.000394 -2023-07-28 08:12:25,772 Epoch: [203][630/631] Time 1.595s (1.573s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000608 (0.000585) Accuracy 0.866 (0.891) loss_pose: 0.000219 loss_cons: 0.000390 -2023-07-28 08:12:32,877 Test: [0/199] Time 4.633 (4.633) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-28 08:12:53,448 Test: [100/199] Time 0.205 (0.252) Loss 0.0002 (0.0002) Accuracy 0.904 (0.878) -2023-07-28 08:13:12,126 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.925 (0.876) -2023-07-28 08:13:13,971 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 08:13:23,811 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:13:23,853 The Predictions of Net 1 -2023-07-28 08:13:23,854 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:13:23,854 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:13:23,854 | 256x192_pose_dual_101_d256d256d256 | 0.7445 | 0.9260 | 0.8254 | 0.7188 | 0.7856 | 0.7746 | 0.9391 | 0.8446 | 0.7425 | 0.8232 | -2023-07-28 08:13:24,545 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 08:13:31,662 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:13:31,701 The Predictions of Net 2 -2023-07-28 08:13:31,703 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:13:31,703 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:13:31,703 | 256x192_pose_dual_101_d256d256d256 | 0.7411 | 0.9258 | 0.8259 | 0.7162 | 0.7814 | 0.7719 | 0.9364 | 0.8426 | 0.7409 | 0.8191 | -2023-07-28 08:13:32,391 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 08:13:37,151 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:13:37,185 Ensemble Predictions -2023-07-28 08:13:37,186 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:13:37,187 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:13:37,187 | 256x192_pose_dual_101_d256d256d256 | 0.7533 | 0.9360 | 0.8359 | 0.7295 | 0.7923 | 0.7823 | 0.9416 | 0.8512 | 0.7527 | 0.8276 | -2023-07-28 08:13:37,188 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 08:13:46,402 Epoch: [204][0/631] Time 6.199s (6.199s) Speed 5.2 samples/s Data 4.550s (4.550s) Loss 0.000535 (0.000535) Accuracy 0.857 (0.857) loss_pose: 0.000205 loss_cons: 0.000330 -2023-07-28 08:16:22,200 Epoch: [204][100/631] Time 1.523s (1.604s) Speed 21.0 samples/s Data 0.000s (0.045s) Loss 0.000516 (0.000578) Accuracy 0.901 (0.887) loss_pose: 0.000215 loss_cons: 0.000301 -2023-07-28 08:18:57,902 Epoch: [204][200/631] Time 1.569s (1.581s) Speed 20.4 samples/s Data 0.000s (0.023s) Loss 0.000602 (0.000581) Accuracy 0.898 (0.890) loss_pose: 0.000178 loss_cons: 0.000424 -2023-07-28 08:21:32,964 Epoch: [204][300/631] Time 1.517s (1.571s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000619 (0.000579) Accuracy 0.903 (0.891) loss_pose: 0.000181 loss_cons: 0.000438 -2023-07-28 08:24:05,923 Epoch: [204][400/631] Time 1.540s (1.560s) Speed 20.8 samples/s Data 0.000s (0.012s) Loss 0.000609 (0.000581) Accuracy 0.850 (0.892) loss_pose: 0.000209 loss_cons: 0.000399 -2023-07-28 08:26:40,365 Epoch: [204][500/631] Time 1.525s (1.557s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000627 (0.000584) Accuracy 0.867 (0.892) loss_pose: 0.000262 loss_cons: 0.000365 -2023-07-28 08:29:15,310 Epoch: [204][600/631] Time 1.548s (1.556s) Speed 20.7 samples/s Data 0.000s (0.008s) Loss 0.001004 (0.000598) Accuracy 0.676 (0.889) loss_pose: 0.000363 loss_cons: 0.000641 -2023-07-28 08:30:00,792 Epoch: [204][630/631] Time 1.598s (1.554s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000853 (0.000615) Accuracy 0.811 (0.883) loss_pose: 0.000271 loss_cons: 0.000582 -2023-07-28 08:30:08,616 Test: [0/199] Time 5.250 (5.250) Loss 0.0003 (0.0003) Accuracy 0.853 (0.853) -2023-07-28 08:30:28,798 Test: [100/199] Time 0.200 (0.254) Loss 0.0003 (0.0003) Accuracy 0.881 (0.810) -2023-07-28 08:30:47,570 Test: [198/199] Time 0.134 (0.223) Loss 0.0003 (0.0003) Accuracy 0.714 (0.808) -2023-07-28 08:30:49,419 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 08:30:58,689 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:30:58,727 The Predictions of Net 1 -2023-07-28 08:30:58,728 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:30:58,729 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:30:58,729 | 256x192_pose_dual_101_d256d256d256 | 0.6214 | 0.8728 | 0.6878 | 0.5998 | 0.6586 | 0.6610 | 0.8874 | 0.7213 | 0.6277 | 0.7097 | -2023-07-28 08:30:59,422 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 08:31:04,180 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:31:04,217 The Predictions of Net 2 -2023-07-28 08:31:04,218 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:31:04,218 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:31:04,218 | 256x192_pose_dual_101_d256d256d256 | 0.7248 | 0.9246 | 0.8009 | 0.6990 | 0.7668 | 0.7600 | 0.9342 | 0.8279 | 0.7266 | 0.8101 | -2023-07-28 08:31:04,905 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 08:31:11,790 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:31:11,824 Ensemble Predictions -2023-07-28 08:31:11,825 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:31:11,826 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:31:11,826 | 256x192_pose_dual_101_d256d256d256 | 0.7031 | 0.9146 | 0.7876 | 0.6781 | 0.7448 | 0.7403 | 0.9262 | 0.8108 | 0.7058 | 0.7914 | -2023-07-28 08:31:11,827 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 08:31:20,300 Epoch: [205][0/631] Time 5.493s (5.493s) Speed 5.8 samples/s Data 3.803s (3.803s) Loss 0.000881 (0.000881) Accuracy 0.859 (0.859) loss_pose: 0.000205 loss_cons: 0.000676 -2023-07-28 08:33:57,096 Epoch: [205][100/631] Time 1.618s (1.607s) Speed 19.8 samples/s Data 0.000s (0.038s) Loss 0.000757 (0.000747) Accuracy 0.832 (0.829) loss_pose: 0.000282 loss_cons: 0.000475 -2023-07-28 08:36:33,153 Epoch: [205][200/631] Time 1.532s (1.584s) Speed 20.9 samples/s Data 0.000s (0.019s) Loss 0.000620 (0.000716) Accuracy 0.839 (0.842) loss_pose: 0.000214 loss_cons: 0.000406 -2023-07-28 08:39:08,795 Epoch: [205][300/631] Time 1.527s (1.575s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000684 (0.000697) Accuracy 0.921 (0.850) loss_pose: 0.000202 loss_cons: 0.000482 -2023-07-28 08:41:45,591 Epoch: [205][400/631] Time 1.554s (1.573s) Speed 20.6 samples/s Data 0.000s (0.010s) Loss 0.000674 (0.000681) Accuracy 0.863 (0.857) loss_pose: 0.000211 loss_cons: 0.000464 -2023-07-28 08:44:20,360 Epoch: [205][500/631] Time 1.607s (1.568s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000562 (0.000670) Accuracy 0.872 (0.860) loss_pose: 0.000220 loss_cons: 0.000342 -2023-07-28 08:46:53,991 Epoch: [205][600/631] Time 1.507s (1.563s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000705 (0.000660) Accuracy 0.880 (0.863) loss_pose: 0.000229 loss_cons: 0.000477 -2023-07-28 08:47:39,359 Epoch: [205][630/631] Time 1.515s (1.560s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000517 (0.000657) Accuracy 0.873 (0.864) loss_pose: 0.000194 loss_cons: 0.000323 -2023-07-28 08:47:47,537 Test: [0/199] Time 5.794 (5.794) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-28 08:48:07,595 Test: [100/199] Time 0.199 (0.257) Loss 0.0002 (0.0002) Accuracy 0.907 (0.869) -2023-07-28 08:48:26,259 Test: [198/199] Time 0.155 (0.224) Loss 0.0002 (0.0002) Accuracy 0.898 (0.866) -2023-07-28 08:48:27,794 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 08:48:37,143 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:48:37,183 The Predictions of Net 1 -2023-07-28 08:48:37,183 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:48:37,184 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:48:37,185 | 256x192_pose_dual_101_d256d256d256 | 0.7272 | 0.9252 | 0.8041 | 0.7028 | 0.7665 | 0.7583 | 0.9328 | 0.8279 | 0.7264 | 0.8065 | -2023-07-28 08:48:37,879 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 08:48:42,720 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:48:42,754 The Predictions of Net 2 -2023-07-28 08:48:42,755 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:48:42,755 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:48:42,755 | 256x192_pose_dual_101_d256d256d256 | 0.7417 | 0.9257 | 0.8247 | 0.7160 | 0.7831 | 0.7723 | 0.9380 | 0.8413 | 0.7399 | 0.8212 | -2023-07-28 08:48:43,446 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 08:48:48,175 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 08:48:48,211 Ensemble Predictions -2023-07-28 08:48:48,212 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 08:48:48,213 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 08:48:48,213 | 256x192_pose_dual_101_d256d256d256 | 0.7465 | 0.9259 | 0.8260 | 0.7218 | 0.7883 | 0.7771 | 0.9395 | 0.8470 | 0.7452 | 0.8252 | -2023-07-28 08:48:48,214 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 08:48:57,050 Epoch: [206][0/631] Time 5.888s (5.888s) Speed 5.4 samples/s Data 4.186s (4.186s) Loss 0.000661 (0.000661) Accuracy 0.877 (0.877) loss_pose: 0.000213 loss_cons: 0.000448 -2023-07-28 08:51:32,382 Epoch: [206][100/631] Time 1.535s (1.596s) Speed 20.8 samples/s Data 0.000s (0.042s) Loss 0.000573 (0.000613) Accuracy 0.905 (0.873) loss_pose: 0.000203 loss_cons: 0.000370 -2023-07-28 08:54:07,235 Epoch: [206][200/631] Time 1.510s (1.572s) Speed 21.2 samples/s Data 0.000s (0.021s) Loss 0.000584 (0.000611) Accuracy 0.858 (0.873) loss_pose: 0.000226 loss_cons: 0.000357 -2023-07-28 08:56:42,635 Epoch: [206][300/631] Time 1.601s (1.566s) Speed 20.0 samples/s Data 0.001s (0.014s) Loss 0.000652 (0.000609) Accuracy 0.856 (0.873) loss_pose: 0.000231 loss_cons: 0.000421 -2023-07-28 08:59:17,805 Epoch: [206][400/631] Time 1.603s (1.563s) Speed 20.0 samples/s Data 0.000s (0.011s) Loss 0.000525 (0.000607) Accuracy 0.862 (0.876) loss_pose: 0.000204 loss_cons: 0.000321 -2023-07-28 09:01:54,559 Epoch: [206][500/631] Time 1.516s (1.564s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000494 (0.000604) Accuracy 0.939 (0.877) loss_pose: 0.000181 loss_cons: 0.000313 -2023-07-28 09:04:30,336 Epoch: [206][600/631] Time 1.521s (1.563s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000572 (0.000603) Accuracy 0.896 (0.878) loss_pose: 0.000188 loss_cons: 0.000384 -2023-07-28 09:05:15,728 Epoch: [206][630/631] Time 1.515s (1.560s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000510 (0.000602) Accuracy 0.921 (0.879) loss_pose: 0.000178 loss_cons: 0.000332 -2023-07-28 09:05:21,764 Test: [0/199] Time 3.709 (3.709) Loss 0.0002 (0.0002) Accuracy 0.899 (0.899) -2023-07-28 09:05:42,909 Test: [100/199] Time 0.197 (0.248) Loss 0.0002 (0.0002) Accuracy 0.918 (0.875) -2023-07-28 09:06:01,634 Test: [198/199] Time 0.141 (0.220) Loss 0.0002 (0.0002) Accuracy 0.916 (0.873) -2023-07-28 09:06:05,208 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 09:06:14,149 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:06:14,184 The Predictions of Net 1 -2023-07-28 09:06:14,185 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:06:14,185 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:06:14,185 | 256x192_pose_dual_101_d256d256d256 | 0.7363 | 0.9255 | 0.8154 | 0.7139 | 0.7739 | 0.7670 | 0.9340 | 0.8377 | 0.7359 | 0.8143 | -2023-07-28 09:06:14,875 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 09:06:19,684 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:06:19,717 The Predictions of Net 2 -2023-07-28 09:06:19,717 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:06:19,718 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:06:19,718 | 256x192_pose_dual_101_d256d256d256 | 0.7444 | 0.9258 | 0.8261 | 0.7204 | 0.7878 | 0.7751 | 0.9397 | 0.8467 | 0.7431 | 0.8238 | -2023-07-28 09:06:20,405 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 09:06:25,156 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:06:25,191 Ensemble Predictions -2023-07-28 09:06:25,192 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:06:25,193 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:06:25,193 | 256x192_pose_dual_101_d256d256d256 | 0.7536 | 0.9357 | 0.8366 | 0.7300 | 0.7922 | 0.7819 | 0.9413 | 0.8525 | 0.7510 | 0.8291 | -2023-07-28 09:06:25,194 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 09:06:34,233 Epoch: [207][0/631] Time 5.944s (5.944s) Speed 5.4 samples/s Data 4.284s (4.284s) Loss 0.000512 (0.000512) Accuracy 0.876 (0.876) loss_pose: 0.000209 loss_cons: 0.000303 -2023-07-28 09:09:09,212 Epoch: [207][100/631] Time 1.520s (1.593s) Speed 21.1 samples/s Data 0.000s (0.043s) Loss 0.000586 (0.000584) Accuracy 0.877 (0.885) loss_pose: 0.000199 loss_cons: 0.000386 -2023-07-28 09:11:45,695 Epoch: [207][200/631] Time 1.528s (1.579s) Speed 20.9 samples/s Data 0.000s (0.022s) Loss 0.000610 (0.000583) Accuracy 0.932 (0.884) loss_pose: 0.000169 loss_cons: 0.000442 -2023-07-28 09:14:22,253 Epoch: [207][300/631] Time 1.544s (1.575s) Speed 20.7 samples/s Data 0.000s (0.015s) Loss 0.000597 (0.000584) Accuracy 0.869 (0.884) loss_pose: 0.000190 loss_cons: 0.000408 -2023-07-28 09:16:57,829 Epoch: [207][400/631] Time 1.513s (1.570s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000690 (0.000586) Accuracy 0.891 (0.884) loss_pose: 0.000209 loss_cons: 0.000481 -2023-07-28 09:19:32,302 Epoch: [207][500/631] Time 1.516s (1.565s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000573 (0.000585) Accuracy 0.905 (0.886) loss_pose: 0.000216 loss_cons: 0.000357 -2023-07-28 09:22:05,315 Epoch: [207][600/631] Time 1.515s (1.559s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000570 (0.000586) Accuracy 0.867 (0.886) loss_pose: 0.000202 loss_cons: 0.000368 -2023-07-28 09:22:50,785 Epoch: [207][630/631] Time 1.502s (1.557s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000587 (0.000585) Accuracy 0.874 (0.887) loss_pose: 0.000211 loss_cons: 0.000376 -2023-07-28 09:22:59,179 Test: [0/199] Time 6.318 (6.318) Loss 0.0002 (0.0002) Accuracy 0.902 (0.902) -2023-07-28 09:23:18,952 Test: [100/199] Time 0.212 (0.258) Loss 0.0002 (0.0002) Accuracy 0.919 (0.874) -2023-07-28 09:23:37,507 Test: [198/199] Time 0.143 (0.225) Loss 0.0002 (0.0002) Accuracy 0.936 (0.873) -2023-07-28 09:23:39,110 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 09:23:48,375 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:23:48,414 The Predictions of Net 1 -2023-07-28 09:23:48,415 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:23:48,415 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:23:48,415 | 256x192_pose_dual_101_d256d256d256 | 0.7353 | 0.9254 | 0.8143 | 0.7125 | 0.7742 | 0.7666 | 0.9351 | 0.8352 | 0.7356 | 0.8137 | -2023-07-28 09:23:51,416 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 09:23:56,140 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:23:56,177 The Predictions of Net 2 -2023-07-28 09:23:56,177 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:23:56,178 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:23:56,178 | 256x192_pose_dual_101_d256d256d256 | 0.7418 | 0.9261 | 0.8240 | 0.7195 | 0.7828 | 0.7731 | 0.9373 | 0.8423 | 0.7418 | 0.8206 | -2023-07-28 09:23:56,865 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 09:24:01,561 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:24:01,594 Ensemble Predictions -2023-07-28 09:24:01,595 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:24:01,596 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:24:01,596 | 256x192_pose_dual_101_d256d256d256 | 0.7499 | 0.9355 | 0.8262 | 0.7252 | 0.7892 | 0.7793 | 0.9416 | 0.8497 | 0.7479 | 0.8272 | -2023-07-28 09:24:01,597 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 09:24:10,197 Epoch: [208][0/631] Time 5.715s (5.715s) Speed 5.6 samples/s Data 4.051s (4.051s) Loss 0.000542 (0.000542) Accuracy 0.895 (0.895) loss_pose: 0.000179 loss_cons: 0.000362 -2023-07-28 09:26:45,160 Epoch: [208][100/631] Time 1.512s (1.591s) Speed 21.2 samples/s Data 0.000s (0.040s) Loss 0.000471 (0.000574) Accuracy 0.934 (0.891) loss_pose: 0.000173 loss_cons: 0.000298 -2023-07-28 09:29:19,458 Epoch: [208][200/631] Time 1.512s (1.567s) Speed 21.2 samples/s Data 0.000s (0.021s) Loss 0.000542 (0.000576) Accuracy 0.926 (0.889) loss_pose: 0.000163 loss_cons: 0.000380 -2023-07-28 09:31:54,914 Epoch: [208][300/631] Time 1.602s (1.563s) Speed 20.0 samples/s Data 0.000s (0.014s) Loss 0.000584 (0.000580) Accuracy 0.920 (0.888) loss_pose: 0.000197 loss_cons: 0.000386 -2023-07-28 09:34:29,038 Epoch: [208][400/631] Time 1.522s (1.557s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000596 (0.000582) Accuracy 0.920 (0.887) loss_pose: 0.000213 loss_cons: 0.000383 -2023-07-28 09:37:04,178 Epoch: [208][500/631] Time 1.608s (1.556s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000592 (0.000581) Accuracy 0.855 (0.888) loss_pose: 0.000218 loss_cons: 0.000374 -2023-07-28 09:39:38,389 Epoch: [208][600/631] Time 1.512s (1.554s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000674 (0.000583) Accuracy 0.894 (0.888) loss_pose: 0.000208 loss_cons: 0.000466 -2023-07-28 09:40:23,938 Epoch: [208][630/631] Time 1.564s (1.552s) Speed 20.5 samples/s Data 0.000s (0.007s) Loss 0.000599 (0.000583) Accuracy 0.881 (0.889) loss_pose: 0.000186 loss_cons: 0.000413 -2023-07-28 09:40:30,790 Test: [0/199] Time 4.638 (4.638) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-28 09:40:51,829 Test: [100/199] Time 0.209 (0.256) Loss 0.0002 (0.0002) Accuracy 0.916 (0.877) -2023-07-28 09:41:10,517 Test: [198/199] Time 0.152 (0.224) Loss 0.0002 (0.0002) Accuracy 0.961 (0.874) -2023-07-28 09:41:12,446 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 09:41:21,732 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:41:21,770 The Predictions of Net 1 -2023-07-28 09:41:21,771 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:41:21,772 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:41:21,772 | 256x192_pose_dual_101_d256d256d256 | 0.7401 | 0.9255 | 0.8237 | 0.7188 | 0.7787 | 0.7712 | 0.9369 | 0.8404 | 0.7407 | 0.8177 | -2023-07-28 09:41:22,469 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 09:41:27,222 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:41:27,256 The Predictions of Net 2 -2023-07-28 09:41:27,256 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:41:27,257 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:41:27,257 | 256x192_pose_dual_101_d256d256d256 | 0.7439 | 0.9355 | 0.8251 | 0.7207 | 0.7812 | 0.7746 | 0.9402 | 0.8459 | 0.7439 | 0.8212 | -2023-07-28 09:41:27,947 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 09:41:35,027 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:41:35,064 Ensemble Predictions -2023-07-28 09:41:35,065 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:41:35,066 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:41:35,066 | 256x192_pose_dual_101_d256d256d256 | 0.7532 | 0.9356 | 0.8353 | 0.7294 | 0.7922 | 0.7824 | 0.9413 | 0.8515 | 0.7515 | 0.8293 | -2023-07-28 09:41:35,067 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 09:41:44,092 Epoch: [209][0/631] Time 6.032s (6.032s) Speed 5.3 samples/s Data 4.341s (4.341s) Loss 0.000523 (0.000523) Accuracy 0.873 (0.873) loss_pose: 0.000218 loss_cons: 0.000305 -2023-07-28 09:44:18,159 Epoch: [209][100/631] Time 1.518s (1.585s) Speed 21.1 samples/s Data 0.000s (0.043s) Loss 0.000581 (0.000619) Accuracy 0.894 (0.891) loss_pose: 0.000244 loss_cons: 0.000337 -2023-07-28 09:46:52,717 Epoch: [209][200/631] Time 1.512s (1.565s) Speed 21.2 samples/s Data 0.000s (0.022s) Loss 0.000696 (0.000615) Accuracy 0.881 (0.890) loss_pose: 0.000193 loss_cons: 0.000503 -2023-07-28 09:49:27,252 Epoch: [209][300/631] Time 1.516s (1.559s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000582 (0.000605) Accuracy 0.913 (0.889) loss_pose: 0.000174 loss_cons: 0.000408 -2023-07-28 09:52:01,682 Epoch: [209][400/631] Time 1.524s (1.555s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000586 (0.000605) Accuracy 0.884 (0.889) loss_pose: 0.000212 loss_cons: 0.000374 -2023-07-28 09:54:35,489 Epoch: [209][500/631] Time 1.517s (1.552s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000584 (0.000600) Accuracy 0.897 (0.889) loss_pose: 0.000191 loss_cons: 0.000393 -2023-07-28 09:57:09,221 Epoch: [209][600/631] Time 1.510s (1.549s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000544 (0.000599) Accuracy 0.900 (0.889) loss_pose: 0.000187 loss_cons: 0.000357 -2023-07-28 09:57:54,563 Epoch: [209][630/631] Time 1.507s (1.548s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000665 (0.000599) Accuracy 0.925 (0.889) loss_pose: 0.000178 loss_cons: 0.000487 -2023-07-28 09:58:02,748 Test: [0/199] Time 6.166 (6.166) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-28 09:58:22,841 Test: [100/199] Time 0.199 (0.260) Loss 0.0002 (0.0002) Accuracy 0.919 (0.878) -2023-07-28 09:58:41,815 Test: [198/199] Time 0.243 (0.227) Loss 0.0002 (0.0002) Accuracy 0.940 (0.876) -2023-07-28 09:58:43,060 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 09:58:52,575 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:58:52,615 The Predictions of Net 1 -2023-07-28 09:58:52,616 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:58:52,616 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:58:52,616 | 256x192_pose_dual_101_d256d256d256 | 0.7397 | 0.9260 | 0.8238 | 0.7186 | 0.7780 | 0.7713 | 0.9383 | 0.8416 | 0.7409 | 0.8175 | -2023-07-28 09:58:53,308 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 09:58:58,039 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:58:58,074 The Predictions of Net 2 -2023-07-28 09:58:58,075 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:58:58,075 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:58:58,075 | 256x192_pose_dual_101_d256d256d256 | 0.7399 | 0.9262 | 0.8241 | 0.7171 | 0.7800 | 0.7714 | 0.9399 | 0.8408 | 0.7399 | 0.8190 | -2023-07-28 09:58:58,762 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 09:59:03,548 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 09:59:03,583 Ensemble Predictions -2023-07-28 09:59:03,584 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 09:59:03,585 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 09:59:03,585 | 256x192_pose_dual_101_d256d256d256 | 0.7505 | 0.9361 | 0.8270 | 0.7282 | 0.7908 | 0.7807 | 0.9414 | 0.8492 | 0.7504 | 0.8267 | -2023-07-28 09:59:03,586 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 09:59:12,585 Epoch: [210][0/631] Time 6.071s (6.071s) Speed 5.3 samples/s Data 4.402s (4.402s) Loss 0.000609 (0.000609) Accuracy 0.902 (0.902) loss_pose: 0.000194 loss_cons: 0.000415 -2023-07-28 10:01:47,984 Epoch: [210][100/631] Time 1.609s (1.599s) Speed 19.9 samples/s Data 0.000s (0.044s) Loss 0.000542 (0.000588) Accuracy 0.952 (0.892) loss_pose: 0.000165 loss_cons: 0.000378 -2023-07-28 10:04:22,371 Epoch: [210][200/631] Time 1.526s (1.571s) Speed 21.0 samples/s Data 0.000s (0.022s) Loss 0.000631 (0.000583) Accuracy 0.865 (0.892) loss_pose: 0.000237 loss_cons: 0.000394 -2023-07-28 10:07:00,331 Epoch: [210][300/631] Time 1.618s (1.574s) Speed 19.8 samples/s Data 0.000s (0.015s) Loss 0.000516 (0.000582) Accuracy 0.911 (0.891) loss_pose: 0.000159 loss_cons: 0.000358 -2023-07-28 10:09:35,037 Epoch: [210][400/631] Time 1.528s (1.567s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000597 (0.000582) Accuracy 0.916 (0.891) loss_pose: 0.000205 loss_cons: 0.000392 -2023-07-28 10:12:09,508 Epoch: [210][500/631] Time 1.617s (1.563s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000461 (0.000582) Accuracy 0.919 (0.891) loss_pose: 0.000177 loss_cons: 0.000284 -2023-07-28 10:14:43,804 Epoch: [210][600/631] Time 1.510s (1.560s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000582 (0.000583) Accuracy 0.887 (0.891) loss_pose: 0.000184 loss_cons: 0.000398 -2023-07-28 10:15:29,332 Epoch: [210][630/631] Time 1.508s (1.558s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000470 (0.000583) Accuracy 0.915 (0.891) loss_pose: 0.000171 loss_cons: 0.000299 -2023-07-28 10:15:35,677 Test: [0/199] Time 3.906 (3.906) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-28 10:15:56,989 Test: [100/199] Time 0.197 (0.251) Loss 0.0002 (0.0002) Accuracy 0.912 (0.879) -2023-07-28 10:16:15,728 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.919 (0.876) -2023-07-28 10:16:17,196 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 10:16:26,647 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:16:26,685 The Predictions of Net 1 -2023-07-28 10:16:26,687 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:16:26,687 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:16:26,687 | 256x192_pose_dual_101_d256d256d256 | 0.7436 | 0.9258 | 0.8252 | 0.7201 | 0.7842 | 0.7744 | 0.9392 | 0.8463 | 0.7433 | 0.8220 | -2023-07-28 10:16:27,394 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 10:16:32,201 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:16:32,239 The Predictions of Net 2 -2023-07-28 10:16:32,239 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:16:32,240 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:16:32,241 | 256x192_pose_dual_101_d256d256d256 | 0.7432 | 0.9259 | 0.8250 | 0.7212 | 0.7852 | 0.7749 | 0.9375 | 0.8429 | 0.7436 | 0.8225 | -2023-07-28 10:16:32,933 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 10:16:37,757 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:16:37,793 Ensemble Predictions -2023-07-28 10:16:37,794 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:16:37,795 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:16:37,795 | 256x192_pose_dual_101_d256d256d256 | 0.7558 | 0.9358 | 0.8356 | 0.7308 | 0.7955 | 0.7839 | 0.9418 | 0.8511 | 0.7530 | 0.8310 | -2023-07-28 10:16:37,796 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 10:16:46,620 Epoch: [211][0/631] Time 5.743s (5.743s) Speed 5.6 samples/s Data 4.051s (4.051s) Loss 0.000468 (0.000468) Accuracy 0.923 (0.923) loss_pose: 0.000166 loss_cons: 0.000302 -2023-07-28 10:19:22,027 Epoch: [211][100/631] Time 1.582s (1.596s) Speed 20.2 samples/s Data 0.001s (0.041s) Loss 0.000649 (0.000570) Accuracy 0.867 (0.893) loss_pose: 0.000223 loss_cons: 0.000426 -2023-07-28 10:21:55,648 Epoch: [211][200/631] Time 1.523s (1.566s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000558 (0.000576) Accuracy 0.926 (0.893) loss_pose: 0.000182 loss_cons: 0.000375 -2023-07-28 10:24:30,610 Epoch: [211][300/631] Time 1.510s (1.561s) Speed 21.2 samples/s Data 0.000s (0.014s) Loss 0.000617 (0.000577) Accuracy 0.886 (0.892) loss_pose: 0.000198 loss_cons: 0.000419 -2023-07-28 10:27:06,940 Epoch: [211][400/631] Time 1.519s (1.561s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000618 (0.000580) Accuracy 0.891 (0.891) loss_pose: 0.000182 loss_cons: 0.000436 -2023-07-28 10:29:44,355 Epoch: [211][500/631] Time 1.560s (1.564s) Speed 20.5 samples/s Data 0.000s (0.008s) Loss 0.000587 (0.000582) Accuracy 0.943 (0.891) loss_pose: 0.000178 loss_cons: 0.000409 -2023-07-28 10:32:25,769 Epoch: [211][600/631] Time 1.501s (1.572s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000580 (0.000583) Accuracy 0.914 (0.890) loss_pose: 0.000183 loss_cons: 0.000397 -2023-07-28 10:33:11,010 Epoch: [211][630/631] Time 1.506s (1.569s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000586 (0.000584) Accuracy 0.906 (0.891) loss_pose: 0.000228 loss_cons: 0.000358 -2023-07-28 10:33:19,175 Test: [0/199] Time 6.045 (6.045) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-28 10:33:38,752 Test: [100/199] Time 0.199 (0.254) Loss 0.0002 (0.0002) Accuracy 0.914 (0.875) -2023-07-28 10:33:57,263 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.931 (0.873) -2023-07-28 10:33:58,935 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 10:34:10,556 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:34:10,591 The Predictions of Net 1 -2023-07-28 10:34:10,592 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:34:10,593 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:34:10,593 | 256x192_pose_dual_101_d256d256d256 | 0.7407 | 0.9262 | 0.8245 | 0.7185 | 0.7787 | 0.7722 | 0.9386 | 0.8434 | 0.7422 | 0.8182 | -2023-07-28 10:34:11,279 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 10:34:16,018 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:34:16,054 The Predictions of Net 2 -2023-07-28 10:34:16,055 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:34:16,055 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:34:16,055 | 256x192_pose_dual_101_d256d256d256 | 0.7407 | 0.9260 | 0.8258 | 0.7169 | 0.7824 | 0.7732 | 0.9399 | 0.8454 | 0.7415 | 0.8212 | -2023-07-28 10:34:16,744 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 10:34:21,498 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:34:21,534 Ensemble Predictions -2023-07-28 10:34:21,535 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:34:21,535 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:34:21,535 | 256x192_pose_dual_101_d256d256d256 | 0.7516 | 0.9361 | 0.8360 | 0.7282 | 0.7895 | 0.7811 | 0.9425 | 0.8512 | 0.7513 | 0.8265 | -2023-07-28 10:34:21,537 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 10:34:29,616 Epoch: [212][0/631] Time 5.125s (5.125s) Speed 6.2 samples/s Data 3.424s (3.424s) Loss 0.000551 (0.000551) Accuracy 0.914 (0.914) loss_pose: 0.000190 loss_cons: 0.000361 -2023-07-28 10:37:10,535 Epoch: [212][100/631] Time 1.529s (1.644s) Speed 20.9 samples/s Data 0.000s (0.034s) Loss 0.000540 (0.000573) Accuracy 0.895 (0.887) loss_pose: 0.000200 loss_cons: 0.000340 -2023-07-28 10:39:45,187 Epoch: [212][200/631] Time 1.534s (1.595s) Speed 20.9 samples/s Data 0.000s (0.017s) Loss 0.000625 (0.000586) Accuracy 0.942 (0.890) loss_pose: 0.000172 loss_cons: 0.000453 -2023-07-28 10:42:20,645 Epoch: [212][300/631] Time 1.510s (1.582s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000729 (0.000585) Accuracy 0.911 (0.891) loss_pose: 0.000202 loss_cons: 0.000527 -2023-07-28 10:44:54,766 Epoch: [212][400/631] Time 1.523s (1.572s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000636 (0.000583) Accuracy 0.808 (0.890) loss_pose: 0.000253 loss_cons: 0.000384 -2023-07-28 10:47:30,350 Epoch: [212][500/631] Time 1.519s (1.569s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000655 (0.000582) Accuracy 0.882 (0.890) loss_pose: 0.000214 loss_cons: 0.000440 -2023-07-28 10:50:04,410 Epoch: [212][600/631] Time 1.514s (1.564s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000501 (0.000584) Accuracy 0.909 (0.891) loss_pose: 0.000196 loss_cons: 0.000305 -2023-07-28 10:50:51,100 Epoch: [212][630/631] Time 1.593s (1.564s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000455 (0.000584) Accuracy 0.953 (0.891) loss_pose: 0.000172 loss_cons: 0.000284 -2023-07-28 10:50:59,282 Test: [0/199] Time 5.889 (5.889) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-28 10:51:18,837 Test: [100/199] Time 0.197 (0.252) Loss 0.0002 (0.0002) Accuracy 0.912 (0.877) -2023-07-28 10:51:37,433 Test: [198/199] Time 0.133 (0.222) Loss 0.0002 (0.0002) Accuracy 0.917 (0.875) -2023-07-28 10:51:39,204 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 10:51:48,840 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:51:48,881 The Predictions of Net 1 -2023-07-28 10:51:48,882 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:51:48,882 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:51:48,882 | 256x192_pose_dual_101_d256d256d256 | 0.7413 | 0.9259 | 0.8250 | 0.7193 | 0.7822 | 0.7726 | 0.9370 | 0.8432 | 0.7413 | 0.8206 | -2023-07-28 10:51:49,579 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 10:51:56,528 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:51:56,569 The Predictions of Net 2 -2023-07-28 10:51:56,571 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:51:56,571 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:51:56,571 | 256x192_pose_dual_101_d256d256d256 | 0.7405 | 0.9260 | 0.8246 | 0.7173 | 0.7816 | 0.7721 | 0.9388 | 0.8402 | 0.7399 | 0.8208 | -2023-07-28 10:51:57,261 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 10:52:02,018 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 10:52:02,053 Ensemble Predictions -2023-07-28 10:52:02,054 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 10:52:02,054 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 10:52:02,055 | 256x192_pose_dual_101_d256d256d256 | 0.7526 | 0.9359 | 0.8275 | 0.7272 | 0.7920 | 0.7806 | 0.9410 | 0.8473 | 0.7485 | 0.8292 | -2023-07-28 10:52:02,056 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 10:52:10,495 Epoch: [213][0/631] Time 5.315s (5.315s) Speed 6.0 samples/s Data 3.618s (3.618s) Loss 0.000589 (0.000589) Accuracy 0.902 (0.902) loss_pose: 0.000206 loss_cons: 0.000383 -2023-07-28 10:54:44,219 Epoch: [213][100/631] Time 1.511s (1.575s) Speed 21.2 samples/s Data 0.000s (0.036s) Loss 0.000542 (0.000573) Accuracy 0.884 (0.888) loss_pose: 0.000191 loss_cons: 0.000351 -2023-07-28 10:57:19,055 Epoch: [213][200/631] Time 1.604s (1.562s) Speed 20.0 samples/s Data 0.000s (0.019s) Loss 0.000626 (0.000579) Accuracy 0.948 (0.890) loss_pose: 0.000176 loss_cons: 0.000450 -2023-07-28 10:59:54,240 Epoch: [213][300/631] Time 1.522s (1.558s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000599 (0.000582) Accuracy 0.916 (0.889) loss_pose: 0.000193 loss_cons: 0.000406 -2023-07-28 11:02:27,372 Epoch: [213][400/631] Time 1.606s (1.552s) Speed 19.9 samples/s Data 0.001s (0.009s) Loss 0.000575 (0.000583) Accuracy 0.927 (0.889) loss_pose: 0.000184 loss_cons: 0.000392 -2023-07-28 11:05:00,422 Epoch: [213][500/631] Time 1.525s (1.547s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000540 (0.000583) Accuracy 0.917 (0.889) loss_pose: 0.000195 loss_cons: 0.000345 -2023-07-28 11:07:33,916 Epoch: [213][600/631] Time 1.513s (1.545s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000647 (0.000583) Accuracy 0.870 (0.889) loss_pose: 0.000211 loss_cons: 0.000436 -2023-07-28 11:08:19,235 Epoch: [213][630/631] Time 1.511s (1.544s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000532 (0.000583) Accuracy 0.892 (0.889) loss_pose: 0.000187 loss_cons: 0.000346 -2023-07-28 11:08:27,203 Test: [0/199] Time 6.162 (6.162) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-28 11:08:47,033 Test: [100/199] Time 0.206 (0.258) Loss 0.0002 (0.0002) Accuracy 0.922 (0.877) -2023-07-28 11:09:05,715 Test: [198/199] Time 0.174 (0.225) Loss 0.0002 (0.0002) Accuracy 0.947 (0.876) -2023-07-28 11:09:07,174 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 11:09:16,438 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:09:16,477 The Predictions of Net 1 -2023-07-28 11:09:16,478 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:09:16,479 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:09:16,479 | 256x192_pose_dual_101_d256d256d256 | 0.7434 | 0.9253 | 0.8249 | 0.7193 | 0.7857 | 0.7747 | 0.9383 | 0.8465 | 0.7422 | 0.8238 | -2023-07-28 11:09:17,177 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 11:09:21,941 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:09:21,975 The Predictions of Net 2 -2023-07-28 11:09:21,976 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:09:21,976 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:09:21,976 | 256x192_pose_dual_101_d256d256d256 | 0.7476 | 0.9356 | 0.8248 | 0.7210 | 0.7887 | 0.7761 | 0.9400 | 0.8419 | 0.7437 | 0.8251 | -2023-07-28 11:09:22,662 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 11:09:29,646 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:09:29,681 Ensemble Predictions -2023-07-28 11:09:29,682 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:09:29,682 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:09:29,682 | 256x192_pose_dual_101_d256d256d256 | 0.7560 | 0.9360 | 0.8369 | 0.7297 | 0.7973 | 0.7846 | 0.9413 | 0.8547 | 0.7530 | 0.8327 | -2023-07-28 11:09:29,683 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 11:09:38,096 Epoch: [214][0/631] Time 5.190s (5.190s) Speed 6.2 samples/s Data 3.365s (3.365s) Loss 0.000562 (0.000562) Accuracy 0.911 (0.911) loss_pose: 0.000209 loss_cons: 0.000353 -2023-07-28 11:12:12,732 Epoch: [214][100/631] Time 1.520s (1.582s) Speed 21.1 samples/s Data 0.000s (0.034s) Loss 0.000552 (0.000583) Accuracy 0.906 (0.891) loss_pose: 0.000189 loss_cons: 0.000363 -2023-07-28 11:14:46,583 Epoch: [214][200/631] Time 1.512s (1.561s) Speed 21.2 samples/s Data 0.000s (0.017s) Loss 0.000577 (0.000581) Accuracy 0.907 (0.889) loss_pose: 0.000178 loss_cons: 0.000400 -2023-07-28 11:17:21,719 Epoch: [214][300/631] Time 1.510s (1.558s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000615 (0.000586) Accuracy 0.870 (0.888) loss_pose: 0.000203 loss_cons: 0.000412 -2023-07-28 11:19:55,298 Epoch: [214][400/631] Time 1.521s (1.552s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000546 (0.000585) Accuracy 0.940 (0.890) loss_pose: 0.000171 loss_cons: 0.000375 -2023-07-28 11:22:31,923 Epoch: [214][500/631] Time 1.602s (1.555s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000607 (0.000585) Accuracy 0.888 (0.890) loss_pose: 0.000207 loss_cons: 0.000399 -2023-07-28 11:25:05,381 Epoch: [214][600/631] Time 1.515s (1.552s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000592 (0.000584) Accuracy 0.903 (0.890) loss_pose: 0.000219 loss_cons: 0.000373 -2023-07-28 11:25:52,402 Epoch: [214][630/631] Time 1.601s (1.552s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000523 (0.000584) Accuracy 0.891 (0.891) loss_pose: 0.000183 loss_cons: 0.000340 -2023-07-28 11:25:59,560 Test: [0/199] Time 4.920 (4.920) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-28 11:26:19,923 Test: [100/199] Time 0.199 (0.253) Loss 0.0002 (0.0002) Accuracy 0.921 (0.875) -2023-07-28 11:26:38,577 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.912 (0.874) -2023-07-28 11:26:40,106 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 11:26:49,299 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:26:49,350 The Predictions of Net 1 -2023-07-28 11:26:49,356 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:26:49,357 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:26:49,357 | 256x192_pose_dual_101_d256d256d256 | 0.7407 | 0.9262 | 0.8236 | 0.7160 | 0.7808 | 0.7717 | 0.9391 | 0.8412 | 0.7395 | 0.8204 | -2023-07-28 11:26:50,057 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 11:26:54,773 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:26:54,806 The Predictions of Net 2 -2023-07-28 11:26:54,807 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:26:54,807 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:26:54,807 | 256x192_pose_dual_101_d256d256d256 | 0.7421 | 0.9261 | 0.8246 | 0.7196 | 0.7783 | 0.7734 | 0.9394 | 0.8440 | 0.7443 | 0.8184 | -2023-07-28 11:26:55,497 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 11:27:00,307 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:27:00,341 Ensemble Predictions -2023-07-28 11:27:00,342 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:27:00,342 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:27:00,343 | 256x192_pose_dual_101_d256d256d256 | 0.7516 | 0.9361 | 0.8357 | 0.7274 | 0.7898 | 0.7816 | 0.9424 | 0.8519 | 0.7517 | 0.8271 | -2023-07-28 11:27:00,344 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 11:27:08,581 Epoch: [215][0/631] Time 5.288s (5.288s) Speed 6.1 samples/s Data 3.561s (3.561s) Loss 0.000579 (0.000579) Accuracy 0.883 (0.883) loss_pose: 0.000196 loss_cons: 0.000383 -2023-07-28 11:29:43,035 Epoch: [215][100/631] Time 1.614s (1.582s) Speed 19.8 samples/s Data 0.000s (0.036s) Loss 0.000565 (0.000591) Accuracy 0.871 (0.888) loss_pose: 0.000215 loss_cons: 0.000350 -2023-07-28 11:32:18,129 Epoch: [215][200/631] Time 1.550s (1.566s) Speed 20.6 samples/s Data 0.000s (0.018s) Loss 0.000623 (0.000589) Accuracy 0.908 (0.888) loss_pose: 0.000209 loss_cons: 0.000414 -2023-07-28 11:34:51,793 Epoch: [215][300/631] Time 1.585s (1.556s) Speed 20.2 samples/s Data 0.000s (0.012s) Loss 0.000676 (0.000588) Accuracy 0.918 (0.889) loss_pose: 0.000202 loss_cons: 0.000474 -2023-07-28 11:37:26,737 Epoch: [215][400/631] Time 1.512s (1.555s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000560 (0.000588) Accuracy 0.878 (0.891) loss_pose: 0.000207 loss_cons: 0.000353 -2023-07-28 11:40:01,739 Epoch: [215][500/631] Time 1.516s (1.554s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000564 (0.000587) Accuracy 0.883 (0.890) loss_pose: 0.000187 loss_cons: 0.000377 -2023-07-28 11:42:35,665 Epoch: [215][600/631] Time 1.511s (1.551s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000638 (0.000586) Accuracy 0.880 (0.891) loss_pose: 0.000199 loss_cons: 0.000439 -2023-07-28 11:43:21,029 Epoch: [215][630/631] Time 1.510s (1.549s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000497 (0.000585) Accuracy 0.897 (0.891) loss_pose: 0.000184 loss_cons: 0.000312 -2023-07-28 11:43:28,414 Test: [0/199] Time 5.309 (5.309) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-28 11:43:48,700 Test: [100/199] Time 0.194 (0.254) Loss 0.0002 (0.0002) Accuracy 0.922 (0.877) -2023-07-28 11:44:07,392 Test: [198/199] Time 0.141 (0.223) Loss 0.0002 (0.0002) Accuracy 0.923 (0.876) -2023-07-28 11:44:09,412 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 11:44:20,718 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:44:20,760 The Predictions of Net 1 -2023-07-28 11:44:20,761 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:44:20,761 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:44:20,761 | 256x192_pose_dual_101_d256d256d256 | 0.7425 | 0.9261 | 0.8257 | 0.7230 | 0.7808 | 0.7743 | 0.9377 | 0.8470 | 0.7444 | 0.8202 | -2023-07-28 11:44:21,450 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 11:44:26,194 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:44:26,227 The Predictions of Net 2 -2023-07-28 11:44:26,228 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:44:26,228 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:44:26,228 | 256x192_pose_dual_101_d256d256d256 | 0.7446 | 0.9257 | 0.8257 | 0.7198 | 0.7860 | 0.7752 | 0.9386 | 0.8454 | 0.7436 | 0.8232 | -2023-07-28 11:44:26,913 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 11:44:31,708 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 11:44:31,742 Ensemble Predictions -2023-07-28 11:44:31,743 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 11:44:31,743 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 11:44:31,743 | 256x192_pose_dual_101_d256d256d256 | 0.7551 | 0.9359 | 0.8372 | 0.7293 | 0.7946 | 0.7832 | 0.9408 | 0.8545 | 0.7523 | 0.8304 | -2023-07-28 11:44:31,744 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 11:44:40,891 Epoch: [216][0/631] Time 6.148s (6.148s) Speed 5.2 samples/s Data 4.500s (4.500s) Loss 0.000480 (0.000480) Accuracy 0.871 (0.871) loss_pose: 0.000173 loss_cons: 0.000307 -2023-07-28 11:47:17,933 Epoch: [216][100/631] Time 1.527s (1.616s) Speed 21.0 samples/s Data 0.000s (0.045s) Loss 0.000567 (0.000582) Accuracy 0.896 (0.891) loss_pose: 0.000185 loss_cons: 0.000383 -2023-07-28 11:49:53,497 Epoch: [216][200/631] Time 1.512s (1.586s) Speed 21.2 samples/s Data 0.000s (0.023s) Loss 0.000530 (0.000579) Accuracy 0.867 (0.891) loss_pose: 0.000230 loss_cons: 0.000300 -2023-07-28 11:52:30,176 Epoch: [216][300/631] Time 1.517s (1.580s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000663 (0.000577) Accuracy 0.906 (0.891) loss_pose: 0.000190 loss_cons: 0.000473 -2023-07-28 11:55:05,707 Epoch: [216][400/631] Time 1.618s (1.573s) Speed 19.8 samples/s Data 0.000s (0.012s) Loss 0.000538 (0.000580) Accuracy 0.897 (0.892) loss_pose: 0.000183 loss_cons: 0.000355 -2023-07-28 11:57:41,096 Epoch: [216][500/631] Time 1.517s (1.570s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000567 (0.000582) Accuracy 0.911 (0.891) loss_pose: 0.000198 loss_cons: 0.000369 -2023-07-28 12:00:16,069 Epoch: [216][600/631] Time 1.519s (1.566s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000571 (0.000583) Accuracy 0.912 (0.891) loss_pose: 0.000184 loss_cons: 0.000387 -2023-07-28 12:01:01,414 Epoch: [216][630/631] Time 1.505s (1.564s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000522 (0.000582) Accuracy 0.894 (0.891) loss_pose: 0.000200 loss_cons: 0.000323 -2023-07-28 12:01:09,238 Test: [0/199] Time 5.585 (5.585) Loss 0.0002 (0.0002) Accuracy 0.922 (0.922) -2023-07-28 12:01:29,243 Test: [100/199] Time 0.202 (0.254) Loss 0.0002 (0.0002) Accuracy 0.903 (0.876) -2023-07-28 12:01:47,927 Test: [198/199] Time 0.139 (0.223) Loss 0.0002 (0.0002) Accuracy 0.913 (0.875) -2023-07-28 12:01:49,321 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 12:01:58,661 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:01:58,700 The Predictions of Net 1 -2023-07-28 12:01:58,702 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:01:58,702 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:01:58,702 | 256x192_pose_dual_101_d256d256d256 | 0.7415 | 0.9262 | 0.8255 | 0.7192 | 0.7820 | 0.7731 | 0.9394 | 0.8473 | 0.7422 | 0.8205 | -2023-07-28 12:01:59,404 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 12:02:06,195 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:02:06,228 The Predictions of Net 2 -2023-07-28 12:02:06,228 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:02:06,229 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:02:06,229 | 256x192_pose_dual_101_d256d256d256 | 0.7459 | 0.9358 | 0.8256 | 0.7212 | 0.7873 | 0.7765 | 0.9413 | 0.8468 | 0.7446 | 0.8250 | -2023-07-28 12:02:06,913 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 12:02:11,666 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:02:11,700 Ensemble Predictions -2023-07-28 12:02:11,701 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:02:11,701 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:02:11,701 | 256x192_pose_dual_101_d256d256d256 | 0.7553 | 0.9363 | 0.8364 | 0.7296 | 0.7977 | 0.7838 | 0.9443 | 0.8531 | 0.7521 | 0.8323 | -2023-07-28 12:02:11,703 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 12:02:19,986 Epoch: [217][0/631] Time 5.272s (5.272s) Speed 6.1 samples/s Data 3.502s (3.502s) Loss 0.000524 (0.000524) Accuracy 0.864 (0.864) loss_pose: 0.000230 loss_cons: 0.000295 -2023-07-28 12:04:56,134 Epoch: [217][100/631] Time 1.627s (1.598s) Speed 19.7 samples/s Data 0.000s (0.035s) Loss 0.000538 (0.000574) Accuracy 0.917 (0.893) loss_pose: 0.000204 loss_cons: 0.000333 -2023-07-28 12:07:32,111 Epoch: [217][200/631] Time 1.513s (1.579s) Speed 21.2 samples/s Data 0.000s (0.018s) Loss 0.000709 (0.000579) Accuracy 0.926 (0.892) loss_pose: 0.000212 loss_cons: 0.000497 -2023-07-28 12:10:09,256 Epoch: [217][300/631] Time 1.529s (1.577s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000637 (0.000579) Accuracy 0.894 (0.892) loss_pose: 0.000234 loss_cons: 0.000403 -2023-07-28 12:12:44,389 Epoch: [217][400/631] Time 1.541s (1.570s) Speed 20.8 samples/s Data 0.000s (0.009s) Loss 0.000620 (0.000582) Accuracy 0.885 (0.892) loss_pose: 0.000198 loss_cons: 0.000422 -2023-07-28 12:15:18,283 Epoch: [217][500/631] Time 1.545s (1.564s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.000519 (0.000582) Accuracy 0.907 (0.892) loss_pose: 0.000178 loss_cons: 0.000341 -2023-07-28 12:17:53,721 Epoch: [217][600/631] Time 1.515s (1.562s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000556 (0.000582) Accuracy 0.899 (0.892) loss_pose: 0.000164 loss_cons: 0.000392 -2023-07-28 12:18:39,062 Epoch: [217][630/631] Time 1.510s (1.560s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000621 (0.000583) Accuracy 0.875 (0.892) loss_pose: 0.000204 loss_cons: 0.000417 -2023-07-28 12:18:47,092 Test: [0/199] Time 5.916 (5.916) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-28 12:19:07,096 Test: [100/199] Time 0.211 (0.257) Loss 0.0002 (0.0002) Accuracy 0.915 (0.877) -2023-07-28 12:19:25,830 Test: [198/199] Time 0.134 (0.225) Loss 0.0002 (0.0002) Accuracy 0.977 (0.874) -2023-07-28 12:19:27,934 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 12:19:37,913 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:19:37,951 The Predictions of Net 1 -2023-07-28 12:19:37,952 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:19:37,952 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:19:37,952 | 256x192_pose_dual_101_d256d256d256 | 0.7376 | 0.9260 | 0.8149 | 0.7165 | 0.7780 | 0.7712 | 0.9394 | 0.8397 | 0.7402 | 0.8185 | -2023-07-28 12:19:38,650 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 12:19:43,403 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:19:43,437 The Predictions of Net 2 -2023-07-28 12:19:43,437 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:19:43,438 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:19:43,439 | 256x192_pose_dual_101_d256d256d256 | 0.7437 | 0.9259 | 0.8245 | 0.7199 | 0.7807 | 0.7735 | 0.9399 | 0.8410 | 0.7438 | 0.8190 | -2023-07-28 12:19:44,131 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 12:19:51,195 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:19:51,235 Ensemble Predictions -2023-07-28 12:19:51,236 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:19:51,236 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:19:51,236 | 256x192_pose_dual_101_d256d256d256 | 0.7515 | 0.9365 | 0.8351 | 0.7287 | 0.7897 | 0.7812 | 0.9438 | 0.8504 | 0.7519 | 0.8264 | -2023-07-28 12:19:51,237 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 12:19:59,631 Epoch: [218][0/631] Time 5.395s (5.395s) Speed 5.9 samples/s Data 3.708s (3.708s) Loss 0.000581 (0.000581) Accuracy 0.876 (0.876) loss_pose: 0.000219 loss_cons: 0.000362 -2023-07-28 12:22:34,753 Epoch: [218][100/631] Time 1.531s (1.589s) Speed 20.9 samples/s Data 0.000s (0.037s) Loss 0.000550 (0.000578) Accuracy 0.905 (0.887) loss_pose: 0.000181 loss_cons: 0.000369 -2023-07-28 12:25:09,329 Epoch: [218][200/631] Time 1.521s (1.568s) Speed 21.0 samples/s Data 0.000s (0.019s) Loss 0.000550 (0.000579) Accuracy 0.893 (0.891) loss_pose: 0.000188 loss_cons: 0.000362 -2023-07-28 12:27:43,315 Epoch: [218][300/631] Time 1.563s (1.558s) Speed 20.5 samples/s Data 0.001s (0.013s) Loss 0.000607 (0.000580) Accuracy 0.920 (0.893) loss_pose: 0.000177 loss_cons: 0.000430 -2023-07-28 12:30:16,961 Epoch: [218][400/631] Time 1.523s (1.553s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000527 (0.000580) Accuracy 0.903 (0.892) loss_pose: 0.000216 loss_cons: 0.000311 -2023-07-28 12:32:50,299 Epoch: [218][500/631] Time 1.610s (1.549s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000523 (0.000580) Accuracy 0.908 (0.892) loss_pose: 0.000209 loss_cons: 0.000314 -2023-07-28 12:35:24,088 Epoch: [218][600/631] Time 1.504s (1.547s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000613 (0.000582) Accuracy 0.867 (0.892) loss_pose: 0.000208 loss_cons: 0.000406 -2023-07-28 12:36:09,469 Epoch: [218][630/631] Time 1.518s (1.546s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000555 (0.000582) Accuracy 0.925 (0.892) loss_pose: 0.000195 loss_cons: 0.000360 -2023-07-28 12:36:16,873 Test: [0/199] Time 5.380 (5.380) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-28 12:36:37,335 Test: [100/199] Time 0.200 (0.257) Loss 0.0002 (0.0002) Accuracy 0.925 (0.878) -2023-07-28 12:36:56,196 Test: [198/199] Time 0.244 (0.225) Loss 0.0002 (0.0002) Accuracy 0.937 (0.875) -2023-07-28 12:36:57,446 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 12:37:07,183 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:37:07,217 The Predictions of Net 1 -2023-07-28 12:37:07,218 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:37:07,218 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:37:07,218 | 256x192_pose_dual_101_d256d256d256 | 0.7421 | 0.9260 | 0.8255 | 0.7204 | 0.7792 | 0.7730 | 0.9381 | 0.8463 | 0.7432 | 0.8186 | -2023-07-28 12:37:07,906 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 12:37:12,593 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:37:12,629 The Predictions of Net 2 -2023-07-28 12:37:12,629 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:37:12,630 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:37:12,630 | 256x192_pose_dual_101_d256d256d256 | 0.7423 | 0.9261 | 0.8246 | 0.7180 | 0.7835 | 0.7731 | 0.9378 | 0.8432 | 0.7418 | 0.8208 | -2023-07-28 12:37:13,316 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 12:37:18,062 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:37:18,096 Ensemble Predictions -2023-07-28 12:37:18,097 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:37:18,097 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:37:18,097 | 256x192_pose_dual_101_d256d256d256 | 0.7522 | 0.9360 | 0.8356 | 0.7278 | 0.7920 | 0.7811 | 0.9435 | 0.8522 | 0.7501 | 0.8282 | -2023-07-28 12:37:18,098 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 12:37:27,199 Epoch: [219][0/631] Time 6.214s (6.214s) Speed 5.1 samples/s Data 4.525s (4.525s) Loss 0.000567 (0.000567) Accuracy 0.842 (0.842) loss_pose: 0.000227 loss_cons: 0.000340 -2023-07-28 12:40:01,719 Epoch: [219][100/631] Time 1.643s (1.591s) Speed 19.5 samples/s Data 0.000s (0.045s) Loss 0.000508 (0.000581) Accuracy 0.869 (0.895) loss_pose: 0.000239 loss_cons: 0.000269 -2023-07-28 12:42:36,271 Epoch: [219][200/631] Time 1.605s (1.569s) Speed 19.9 samples/s Data 0.000s (0.023s) Loss 0.000600 (0.000581) Accuracy 0.878 (0.893) loss_pose: 0.000214 loss_cons: 0.000387 -2023-07-28 12:45:11,138 Epoch: [219][300/631] Time 1.581s (1.562s) Speed 20.2 samples/s Data 0.000s (0.015s) Loss 0.000706 (0.000580) Accuracy 0.923 (0.892) loss_pose: 0.000188 loss_cons: 0.000518 -2023-07-28 12:47:47,597 Epoch: [219][400/631] Time 1.521s (1.563s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000629 (0.000582) Accuracy 0.870 (0.892) loss_pose: 0.000233 loss_cons: 0.000397 -2023-07-28 12:50:21,466 Epoch: [219][500/631] Time 1.521s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000644 (0.000581) Accuracy 0.916 (0.892) loss_pose: 0.000190 loss_cons: 0.000455 -2023-07-28 12:52:56,329 Epoch: [219][600/631] Time 1.505s (1.556s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000634 (0.000582) Accuracy 0.902 (0.892) loss_pose: 0.000199 loss_cons: 0.000436 -2023-07-28 12:53:42,378 Epoch: [219][630/631] Time 1.508s (1.555s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000654 (0.000582) Accuracy 0.892 (0.893) loss_pose: 0.000185 loss_cons: 0.000469 -2023-07-28 12:53:50,077 Test: [0/199] Time 5.706 (5.706) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-28 12:54:10,138 Test: [100/199] Time 0.199 (0.256) Loss 0.0002 (0.0002) Accuracy 0.916 (0.877) -2023-07-28 12:54:29,126 Test: [198/199] Time 0.312 (0.225) Loss 0.0002 (0.0002) Accuracy 0.927 (0.876) -2023-07-28 12:54:33,895 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 12:54:42,244 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:54:42,282 The Predictions of Net 1 -2023-07-28 12:54:42,283 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:54:42,284 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:54:42,284 | 256x192_pose_dual_101_d256d256d256 | 0.7443 | 0.9263 | 0.8252 | 0.7215 | 0.7823 | 0.7750 | 0.9384 | 0.8438 | 0.7446 | 0.8210 | -2023-07-28 12:54:42,972 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 12:54:47,784 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:54:47,820 The Predictions of Net 2 -2023-07-28 12:54:47,821 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:54:47,821 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:54:47,821 | 256x192_pose_dual_101_d256d256d256 | 0.7455 | 0.9261 | 0.8257 | 0.7211 | 0.7845 | 0.7756 | 0.9394 | 0.8445 | 0.7443 | 0.8232 | -2023-07-28 12:54:48,510 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 12:54:53,244 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 12:54:53,282 Ensemble Predictions -2023-07-28 12:54:53,283 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 12:54:53,283 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 12:54:53,283 | 256x192_pose_dual_101_d256d256d256 | 0.7559 | 0.9359 | 0.8369 | 0.7294 | 0.7966 | 0.7836 | 0.9410 | 0.8515 | 0.7523 | 0.8311 | -2023-07-28 12:54:53,284 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 12:55:02,341 Epoch: [220][0/631] Time 6.111s (6.111s) Speed 5.2 samples/s Data 4.390s (4.390s) Loss 0.000563 (0.000563) Accuracy 0.896 (0.896) loss_pose: 0.000184 loss_cons: 0.000379 -2023-07-28 12:57:38,975 Epoch: [220][100/631] Time 1.605s (1.611s) Speed 19.9 samples/s Data 0.000s (0.044s) Loss 0.000491 (0.000582) Accuracy 0.878 (0.891) loss_pose: 0.000147 loss_cons: 0.000344 -2023-07-28 13:00:14,107 Epoch: [220][200/631] Time 1.517s (1.581s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000575 (0.000585) Accuracy 0.928 (0.894) loss_pose: 0.000179 loss_cons: 0.000396 -2023-07-28 13:02:48,217 Epoch: [220][300/631] Time 1.612s (1.568s) Speed 19.9 samples/s Data 0.000s (0.015s) Loss 0.000534 (0.000584) Accuracy 0.951 (0.894) loss_pose: 0.000170 loss_cons: 0.000364 -2023-07-28 13:05:21,943 Epoch: [220][400/631] Time 1.551s (1.560s) Speed 20.6 samples/s Data 0.000s (0.011s) Loss 0.000638 (0.000587) Accuracy 0.915 (0.892) loss_pose: 0.000229 loss_cons: 0.000408 -2023-07-28 13:08:02,755 Epoch: [220][500/631] Time 1.599s (1.570s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000461 (0.000586) Accuracy 0.906 (0.892) loss_pose: 0.000183 loss_cons: 0.000278 -2023-07-28 13:10:41,336 Epoch: [220][600/631] Time 1.507s (1.573s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000624 (0.000586) Accuracy 0.902 (0.893) loss_pose: 0.000214 loss_cons: 0.000411 -2023-07-28 13:11:26,622 Epoch: [220][630/631] Time 1.503s (1.570s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000529 (0.000586) Accuracy 0.905 (0.893) loss_pose: 0.000188 loss_cons: 0.000341 -2023-07-28 13:11:34,984 Test: [0/199] Time 6.110 (6.110) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-28 13:11:54,844 Test: [100/199] Time 0.202 (0.257) Loss 0.0002 (0.0002) Accuracy 0.904 (0.878) -2023-07-28 13:12:13,706 Test: [198/199] Time 0.253 (0.225) Loss 0.0002 (0.0002) Accuracy 0.931 (0.876) -2023-07-28 13:12:15,419 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 13:12:26,991 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:12:27,027 The Predictions of Net 1 -2023-07-28 13:12:27,027 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:12:27,028 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:12:27,028 | 256x192_pose_dual_101_d256d256d256 | 0.7432 | 0.9357 | 0.8257 | 0.7192 | 0.7853 | 0.7741 | 0.9400 | 0.8471 | 0.7414 | 0.8239 | -2023-07-28 13:12:27,725 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 13:12:32,553 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:12:32,591 The Predictions of Net 2 -2023-07-28 13:12:32,591 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:12:32,592 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:12:32,592 | 256x192_pose_dual_101_d256d256d256 | 0.7472 | 0.9354 | 0.8264 | 0.7230 | 0.7855 | 0.7765 | 0.9418 | 0.8467 | 0.7454 | 0.8237 | -2023-07-28 13:12:33,280 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 13:12:38,052 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:12:38,088 Ensemble Predictions -2023-07-28 13:12:38,089 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:12:38,089 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:12:38,089 | 256x192_pose_dual_101_d256d256d256 | 0.7549 | 0.9361 | 0.8372 | 0.7300 | 0.7961 | 0.7840 | 0.9446 | 0.8548 | 0.7526 | 0.8320 | -2023-07-28 13:12:38,090 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 13:12:47,082 Epoch: [221][0/631] Time 5.934s (5.934s) Speed 5.4 samples/s Data 4.263s (4.263s) Loss 0.000567 (0.000567) Accuracy 0.846 (0.846) loss_pose: 0.000258 loss_cons: 0.000310 -2023-07-28 13:15:28,762 Epoch: [221][100/631] Time 1.529s (1.660s) Speed 20.9 samples/s Data 0.001s (0.043s) Loss 0.000537 (0.000585) Accuracy 0.904 (0.890) loss_pose: 0.000185 loss_cons: 0.000352 -2023-07-28 13:18:03,040 Epoch: [221][200/631] Time 1.516s (1.601s) Speed 21.1 samples/s Data 0.001s (0.022s) Loss 0.000570 (0.000583) Accuracy 0.901 (0.893) loss_pose: 0.000226 loss_cons: 0.000344 -2023-07-28 13:20:36,678 Epoch: [221][300/631] Time 1.509s (1.580s) Speed 21.2 samples/s Data 0.000s (0.015s) Loss 0.000572 (0.000584) Accuracy 0.921 (0.893) loss_pose: 0.000180 loss_cons: 0.000391 -2023-07-28 13:23:10,562 Epoch: [221][400/631] Time 1.519s (1.570s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000599 (0.000583) Accuracy 0.874 (0.893) loss_pose: 0.000214 loss_cons: 0.000385 -2023-07-28 13:25:42,810 Epoch: [221][500/631] Time 1.600s (1.560s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000548 (0.000582) Accuracy 0.898 (0.894) loss_pose: 0.000196 loss_cons: 0.000353 -2023-07-28 13:28:18,710 Epoch: [221][600/631] Time 1.514s (1.560s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000601 (0.000582) Accuracy 0.880 (0.894) loss_pose: 0.000198 loss_cons: 0.000402 -2023-07-28 13:29:04,112 Epoch: [221][630/631] Time 1.510s (1.558s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000544 (0.000582) Accuracy 0.863 (0.894) loss_pose: 0.000206 loss_cons: 0.000338 -2023-07-28 13:29:11,925 Test: [0/199] Time 5.787 (5.787) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-28 13:29:31,570 Test: [100/199] Time 0.201 (0.252) Loss 0.0002 (0.0002) Accuracy 0.910 (0.878) -2023-07-28 13:29:50,157 Test: [198/199] Time 0.143 (0.221) Loss 0.0002 (0.0002) Accuracy 0.956 (0.876) -2023-07-28 13:29:51,839 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 13:30:01,832 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:30:01,869 The Predictions of Net 1 -2023-07-28 13:30:01,869 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:30:01,870 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:30:01,871 | 256x192_pose_dual_101_d256d256d256 | 0.7454 | 0.9359 | 0.8254 | 0.7221 | 0.7853 | 0.7755 | 0.9410 | 0.8459 | 0.7441 | 0.8235 | -2023-07-28 13:30:02,562 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 13:30:07,336 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:30:07,370 The Predictions of Net 2 -2023-07-28 13:30:07,371 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:30:07,371 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:30:07,371 | 256x192_pose_dual_101_d256d256d256 | 0.7460 | 0.9355 | 0.8257 | 0.7207 | 0.7857 | 0.7758 | 0.9402 | 0.8463 | 0.7451 | 0.8226 | -2023-07-28 13:30:10,196 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 13:30:14,919 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:30:14,953 Ensemble Predictions -2023-07-28 13:30:14,954 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:30:14,955 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:30:14,955 | 256x192_pose_dual_101_d256d256d256 | 0.7550 | 0.9361 | 0.8368 | 0.7310 | 0.7971 | 0.7846 | 0.9433 | 0.8542 | 0.7530 | 0.8329 | -2023-07-28 13:30:14,956 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 13:30:23,074 Epoch: [222][0/631] Time 5.193s (5.193s) Speed 6.2 samples/s Data 3.457s (3.457s) Loss 0.000617 (0.000617) Accuracy 0.862 (0.862) loss_pose: 0.000227 loss_cons: 0.000390 -2023-07-28 13:32:58,753 Epoch: [222][100/631] Time 1.517s (1.593s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000543 (0.000566) Accuracy 0.891 (0.894) loss_pose: 0.000192 loss_cons: 0.000351 -2023-07-28 13:35:32,238 Epoch: [222][200/631] Time 1.520s (1.564s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000497 (0.000571) Accuracy 0.907 (0.894) loss_pose: 0.000170 loss_cons: 0.000327 -2023-07-28 13:38:05,360 Epoch: [222][300/631] Time 1.514s (1.553s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000710 (0.000574) Accuracy 0.885 (0.893) loss_pose: 0.000230 loss_cons: 0.000480 -2023-07-28 13:40:39,236 Epoch: [222][400/631] Time 1.528s (1.550s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000620 (0.000574) Accuracy 0.903 (0.892) loss_pose: 0.000197 loss_cons: 0.000424 -2023-07-28 13:43:13,567 Epoch: [222][500/631] Time 1.614s (1.548s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000478 (0.000576) Accuracy 0.866 (0.892) loss_pose: 0.000209 loss_cons: 0.000269 -2023-07-28 13:45:47,212 Epoch: [222][600/631] Time 1.505s (1.546s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000683 (0.000578) Accuracy 0.868 (0.892) loss_pose: 0.000224 loss_cons: 0.000460 -2023-07-28 13:46:32,700 Epoch: [222][630/631] Time 1.524s (1.545s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000579 (0.000577) Accuracy 0.937 (0.893) loss_pose: 0.000177 loss_cons: 0.000402 -2023-07-28 13:46:40,328 Test: [0/199] Time 5.585 (5.585) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-28 13:47:00,722 Test: [100/199] Time 0.203 (0.259) Loss 0.0002 (0.0002) Accuracy 0.906 (0.878) -2023-07-28 13:47:19,431 Test: [198/199] Time 0.135 (0.225) Loss 0.0002 (0.0002) Accuracy 0.933 (0.875) -2023-07-28 13:47:20,828 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 13:47:30,308 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:47:30,354 The Predictions of Net 1 -2023-07-28 13:47:30,355 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:47:30,356 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:47:30,356 | 256x192_pose_dual_101_d256d256d256 | 0.7400 | 0.9256 | 0.8248 | 0.7182 | 0.7796 | 0.7725 | 0.9378 | 0.8434 | 0.7419 | 0.8198 | -2023-07-28 13:47:31,059 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 13:47:35,948 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:47:35,988 The Predictions of Net 2 -2023-07-28 13:47:35,989 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:47:35,990 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:47:35,990 | 256x192_pose_dual_101_d256d256d256 | 0.7426 | 0.9257 | 0.8242 | 0.7188 | 0.7829 | 0.7739 | 0.9384 | 0.8471 | 0.7425 | 0.8219 | -2023-07-28 13:47:36,681 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 13:47:41,401 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 13:47:41,439 Ensemble Predictions -2023-07-28 13:47:41,439 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 13:47:41,440 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 13:47:41,440 | 256x192_pose_dual_101_d256d256d256 | 0.7499 | 0.9260 | 0.8364 | 0.7282 | 0.7907 | 0.7813 | 0.9399 | 0.8533 | 0.7510 | 0.8281 | -2023-07-28 13:47:41,441 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 13:47:49,877 Epoch: [223][0/631] Time 5.463s (5.463s) Speed 5.9 samples/s Data 3.779s (3.779s) Loss 0.000584 (0.000584) Accuracy 0.923 (0.923) loss_pose: 0.000188 loss_cons: 0.000396 -2023-07-28 13:50:28,101 Epoch: [223][100/631] Time 1.604s (1.621s) Speed 19.9 samples/s Data 0.001s (0.038s) Loss 0.000577 (0.000571) Accuracy 0.891 (0.892) loss_pose: 0.000219 loss_cons: 0.000358 -2023-07-28 13:53:03,176 Epoch: [223][200/631] Time 1.516s (1.586s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000542 (0.000574) Accuracy 0.900 (0.892) loss_pose: 0.000205 loss_cons: 0.000337 -2023-07-28 13:55:36,468 Epoch: [223][300/631] Time 1.529s (1.568s) Speed 20.9 samples/s Data 0.000s (0.013s) Loss 0.000714 (0.000575) Accuracy 0.890 (0.891) loss_pose: 0.000219 loss_cons: 0.000495 -2023-07-28 13:58:11,128 Epoch: [223][400/631] Time 1.611s (1.563s) Speed 19.9 samples/s Data 0.000s (0.010s) Loss 0.000466 (0.000578) Accuracy 0.945 (0.891) loss_pose: 0.000158 loss_cons: 0.000308 -2023-07-28 14:00:45,726 Epoch: [223][500/631] Time 1.653s (1.560s) Speed 19.4 samples/s Data 0.000s (0.008s) Loss 0.000613 (0.000578) Accuracy 0.889 (0.892) loss_pose: 0.000194 loss_cons: 0.000419 -2023-07-28 14:03:20,304 Epoch: [223][600/631] Time 1.530s (1.557s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000825 (0.000600) Accuracy 0.884 (0.892) loss_pose: 0.000269 loss_cons: 0.000556 -2023-07-28 14:04:05,653 Epoch: [223][630/631] Time 1.511s (1.555s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000685 (0.000602) Accuracy 0.866 (0.892) loss_pose: 0.000274 loss_cons: 0.000410 -2023-07-28 14:04:13,312 Test: [0/199] Time 5.616 (5.616) Loss 0.0002 (0.0002) Accuracy 0.924 (0.924) -2023-07-28 14:04:33,375 Test: [100/199] Time 0.211 (0.255) Loss 0.0002 (0.0002) Accuracy 0.906 (0.876) -2023-07-28 14:04:52,011 Test: [198/199] Time 0.220 (0.223) Loss 0.0002 (0.0002) Accuracy 0.941 (0.875) -2023-07-28 14:04:53,680 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 14:05:03,405 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:05:03,442 The Predictions of Net 1 -2023-07-28 14:05:03,442 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:05:03,443 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:05:03,443 | 256x192_pose_dual_101_d256d256d256 | 0.7401 | 0.9260 | 0.8240 | 0.7169 | 0.7803 | 0.7721 | 0.9389 | 0.8402 | 0.7412 | 0.8189 | -2023-07-28 14:05:04,134 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 14:05:08,985 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:05:09,025 The Predictions of Net 2 -2023-07-28 14:05:09,026 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:05:09,027 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:05:09,027 | 256x192_pose_dual_101_d256d256d256 | 0.7275 | 0.9258 | 0.8036 | 0.7032 | 0.7666 | 0.7584 | 0.9340 | 0.8248 | 0.7262 | 0.8066 | -2023-07-28 14:05:09,720 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 14:05:14,551 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:05:14,585 Ensemble Predictions -2023-07-28 14:05:14,586 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:05:14,586 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:05:14,586 | 256x192_pose_dual_101_d256d256d256 | 0.7481 | 0.9263 | 0.8269 | 0.7242 | 0.7874 | 0.7779 | 0.9386 | 0.8473 | 0.7465 | 0.8255 | -2023-07-28 14:05:14,587 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 14:05:23,067 Epoch: [224][0/631] Time 5.199s (5.199s) Speed 6.2 samples/s Data 3.404s (3.404s) Loss 0.000626 (0.000626) Accuracy 0.908 (0.908) loss_pose: 0.000211 loss_cons: 0.000415 -2023-07-28 14:07:59,941 Epoch: [224][100/631] Time 1.616s (1.605s) Speed 19.8 samples/s Data 0.000s (0.034s) Loss 0.000609 (0.000620) Accuracy 0.910 (0.897) loss_pose: 0.000209 loss_cons: 0.000400 -2023-07-28 14:10:34,961 Epoch: [224][200/631] Time 1.519s (1.578s) Speed 21.1 samples/s Data 0.000s (0.017s) Loss 0.000571 (0.000616) Accuracy 0.876 (0.894) loss_pose: 0.000214 loss_cons: 0.000358 -2023-07-28 14:13:10,254 Epoch: [224][300/631] Time 1.530s (1.569s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000677 (0.000613) Accuracy 0.854 (0.893) loss_pose: 0.000254 loss_cons: 0.000423 -2023-07-28 14:15:45,435 Epoch: [224][400/631] Time 1.590s (1.565s) Speed 20.1 samples/s Data 0.000s (0.009s) Loss 0.000699 (0.000611) Accuracy 0.839 (0.893) loss_pose: 0.000248 loss_cons: 0.000452 -2023-07-28 14:18:20,370 Epoch: [224][500/631] Time 1.586s (1.562s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000540 (0.000606) Accuracy 0.922 (0.893) loss_pose: 0.000179 loss_cons: 0.000361 -2023-07-28 14:20:56,998 Epoch: [224][600/631] Time 1.509s (1.563s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000744 (0.000605) Accuracy 0.853 (0.892) loss_pose: 0.000265 loss_cons: 0.000478 -2023-07-28 14:21:42,612 Epoch: [224][630/631] Time 1.501s (1.561s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000536 (0.000605) Accuracy 0.868 (0.892) loss_pose: 0.000221 loss_cons: 0.000315 -2023-07-28 14:21:49,798 Test: [0/199] Time 4.836 (4.836) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-28 14:22:10,298 Test: [100/199] Time 0.197 (0.253) Loss 0.0002 (0.0002) Accuracy 0.919 (0.879) -2023-07-28 14:22:28,896 Test: [198/199] Time 0.144 (0.222) Loss 0.0002 (0.0002) Accuracy 0.936 (0.876) -2023-07-28 14:22:30,664 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 14:22:41,701 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:22:41,737 The Predictions of Net 1 -2023-07-28 14:22:41,738 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:22:41,739 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:22:41,739 | 256x192_pose_dual_101_d256d256d256 | 0.7452 | 0.9261 | 0.8242 | 0.7217 | 0.7843 | 0.7747 | 0.9394 | 0.8432 | 0.7433 | 0.8225 | -2023-07-28 14:22:42,428 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 14:22:47,153 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:22:47,186 The Predictions of Net 2 -2023-07-28 14:22:47,187 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:22:47,187 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:22:47,187 | 256x192_pose_dual_101_d256d256d256 | 0.7456 | 0.9260 | 0.8241 | 0.7223 | 0.7870 | 0.7767 | 0.9395 | 0.8462 | 0.7448 | 0.8252 | -2023-07-28 14:22:47,875 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 14:22:52,541 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:22:52,575 Ensemble Predictions -2023-07-28 14:22:52,576 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:22:52,576 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:22:52,576 | 256x192_pose_dual_101_d256d256d256 | 0.7560 | 0.9357 | 0.8361 | 0.7315 | 0.7945 | 0.7849 | 0.9424 | 0.8561 | 0.7541 | 0.8320 | -2023-07-28 14:22:52,577 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 14:23:01,070 Epoch: [225][0/631] Time 5.531s (5.531s) Speed 5.8 samples/s Data 3.852s (3.852s) Loss 0.000505 (0.000505) Accuracy 0.850 (0.850) loss_pose: 0.000219 loss_cons: 0.000287 -2023-07-28 14:25:36,391 Epoch: [225][100/631] Time 1.612s (1.593s) Speed 19.8 samples/s Data 0.000s (0.039s) Loss 0.000565 (0.000584) Accuracy 0.829 (0.894) loss_pose: 0.000246 loss_cons: 0.000319 -2023-07-28 14:28:11,214 Epoch: [225][200/631] Time 1.520s (1.571s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000622 (0.000585) Accuracy 0.906 (0.895) loss_pose: 0.000200 loss_cons: 0.000422 -2023-07-28 14:30:46,306 Epoch: [225][300/631] Time 1.517s (1.564s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000717 (0.000584) Accuracy 0.873 (0.895) loss_pose: 0.000205 loss_cons: 0.000513 -2023-07-28 14:33:19,191 Epoch: [225][400/631] Time 1.520s (1.555s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000608 (0.000585) Accuracy 0.917 (0.895) loss_pose: 0.000186 loss_cons: 0.000423 -2023-07-28 14:35:53,583 Epoch: [225][500/631] Time 1.517s (1.553s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000537 (0.000586) Accuracy 0.902 (0.895) loss_pose: 0.000177 loss_cons: 0.000360 -2023-07-28 14:38:28,353 Epoch: [225][600/631] Time 1.500s (1.552s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000619 (0.000586) Accuracy 0.897 (0.895) loss_pose: 0.000187 loss_cons: 0.000433 -2023-07-28 14:39:13,706 Epoch: [225][630/631] Time 1.517s (1.550s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000526 (0.000586) Accuracy 0.906 (0.895) loss_pose: 0.000185 loss_cons: 0.000341 -2023-07-28 14:39:20,469 Test: [0/199] Time 4.494 (4.494) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-28 14:39:41,475 Test: [100/199] Time 0.201 (0.255) Loss 0.0002 (0.0002) Accuracy 0.919 (0.878) -2023-07-28 14:40:00,266 Test: [198/199] Time 0.136 (0.224) Loss 0.0002 (0.0002) Accuracy 0.946 (0.877) -2023-07-28 14:40:02,194 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 14:40:11,226 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:40:11,280 The Predictions of Net 1 -2023-07-28 14:40:11,280 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:40:11,281 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:40:11,282 | 256x192_pose_dual_101_d256d256d256 | 0.7475 | 0.9356 | 0.8252 | 0.7235 | 0.7864 | 0.7774 | 0.9413 | 0.8468 | 0.7461 | 0.8252 | -2023-07-28 14:40:11,988 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 14:40:19,051 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:40:19,087 The Predictions of Net 2 -2023-07-28 14:40:19,088 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:40:19,088 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:40:19,088 | 256x192_pose_dual_101_d256d256d256 | 0.7459 | 0.9349 | 0.8254 | 0.7186 | 0.7872 | 0.7758 | 0.9400 | 0.8457 | 0.7425 | 0.8259 | -2023-07-28 14:40:19,775 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 14:40:24,608 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:40:24,646 Ensemble Predictions -2023-07-28 14:40:24,647 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:40:24,648 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:40:24,648 | 256x192_pose_dual_101_d256d256d256 | 0.7546 | 0.9357 | 0.8358 | 0.7292 | 0.7959 | 0.7843 | 0.9427 | 0.8544 | 0.7521 | 0.8327 | -2023-07-28 14:40:24,649 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 14:40:33,950 Epoch: [226][0/631] Time 5.071s (5.071s) Speed 6.3 samples/s Data 3.237s (3.237s) Loss 0.000590 (0.000590) Accuracy 0.890 (0.890) loss_pose: 0.000219 loss_cons: 0.000371 -2023-07-28 14:43:09,702 Epoch: [226][100/631] Time 1.517s (1.592s) Speed 21.1 samples/s Data 0.000s (0.033s) Loss 0.000589 (0.000578) Accuracy 0.891 (0.892) loss_pose: 0.000183 loss_cons: 0.000406 -2023-07-28 14:45:43,102 Epoch: [226][200/631] Time 1.521s (1.563s) Speed 21.0 samples/s Data 0.000s (0.017s) Loss 0.000597 (0.000583) Accuracy 0.923 (0.892) loss_pose: 0.000173 loss_cons: 0.000424 -2023-07-28 14:48:16,047 Epoch: [226][300/631] Time 1.540s (1.552s) Speed 20.8 samples/s Data 0.000s (0.011s) Loss 0.000604 (0.000582) Accuracy 0.890 (0.894) loss_pose: 0.000192 loss_cons: 0.000412 -2023-07-28 14:50:50,118 Epoch: [226][400/631] Time 1.516s (1.549s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000561 (0.000581) Accuracy 0.849 (0.893) loss_pose: 0.000189 loss_cons: 0.000372 -2023-07-28 14:53:24,498 Epoch: [226][500/631] Time 1.526s (1.548s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000524 (0.000581) Accuracy 0.854 (0.894) loss_pose: 0.000211 loss_cons: 0.000313 -2023-07-28 14:55:58,872 Epoch: [226][600/631] Time 1.514s (1.547s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000594 (0.000581) Accuracy 0.871 (0.894) loss_pose: 0.000201 loss_cons: 0.000394 -2023-07-28 14:56:44,494 Epoch: [226][630/631] Time 1.506s (1.546s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000541 (0.000580) Accuracy 0.888 (0.894) loss_pose: 0.000228 loss_cons: 0.000313 -2023-07-28 14:56:51,557 Test: [0/199] Time 4.964 (4.964) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-28 14:57:11,789 Test: [100/199] Time 0.201 (0.251) Loss 0.0002 (0.0002) Accuracy 0.906 (0.877) -2023-07-28 14:57:30,494 Test: [198/199] Time 0.136 (0.221) Loss 0.0002 (0.0002) Accuracy 0.942 (0.874) -2023-07-28 14:57:32,142 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 14:57:41,779 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:57:41,820 The Predictions of Net 1 -2023-07-28 14:57:41,821 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:57:41,822 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:57:41,822 | 256x192_pose_dual_101_d256d256d256 | 0.7443 | 0.9359 | 0.8248 | 0.7188 | 0.7866 | 0.7747 | 0.9424 | 0.8446 | 0.7422 | 0.8243 | -2023-07-28 14:57:42,515 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 14:57:47,291 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:57:47,323 The Predictions of Net 2 -2023-07-28 14:57:47,324 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:57:47,324 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:57:47,325 | 256x192_pose_dual_101_d256d256d256 | 0.7426 | 0.9257 | 0.8245 | 0.7158 | 0.7879 | 0.7739 | 0.9383 | 0.8413 | 0.7398 | 0.8250 | -2023-07-28 14:57:48,011 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 14:57:54,972 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 14:57:55,007 Ensemble Predictions -2023-07-28 14:57:55,007 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 14:57:55,008 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 14:57:55,008 | 256x192_pose_dual_101_d256d256d256 | 0.7551 | 0.9362 | 0.8361 | 0.7286 | 0.7976 | 0.7838 | 0.9454 | 0.8515 | 0.7510 | 0.8332 | -2023-07-28 14:57:55,009 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 14:58:03,139 Epoch: [227][0/631] Time 4.982s (4.982s) Speed 6.4 samples/s Data 3.255s (3.255s) Loss 0.000561 (0.000561) Accuracy 0.857 (0.857) loss_pose: 0.000203 loss_cons: 0.000358 -2023-07-28 15:00:38,857 Epoch: [227][100/631] Time 1.520s (1.591s) Speed 21.1 samples/s Data 0.000s (0.033s) Loss 0.000507 (0.000571) Accuracy 0.888 (0.891) loss_pose: 0.000189 loss_cons: 0.000318 -2023-07-28 15:03:14,083 Epoch: [227][200/631] Time 1.572s (1.572s) Speed 20.4 samples/s Data 0.000s (0.017s) Loss 0.000650 (0.000578) Accuracy 0.854 (0.891) loss_pose: 0.000233 loss_cons: 0.000417 -2023-07-28 15:05:49,008 Epoch: [227][300/631] Time 1.512s (1.564s) Speed 21.2 samples/s Data 0.000s (0.011s) Loss 0.000665 (0.000579) Accuracy 0.895 (0.894) loss_pose: 0.000170 loss_cons: 0.000494 -2023-07-28 15:08:23,550 Epoch: [227][400/631] Time 1.515s (1.560s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000594 (0.000580) Accuracy 0.908 (0.894) loss_pose: 0.000192 loss_cons: 0.000403 -2023-07-28 15:10:58,088 Epoch: [227][500/631] Time 1.516s (1.557s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000619 (0.000579) Accuracy 0.867 (0.894) loss_pose: 0.000230 loss_cons: 0.000389 -2023-07-28 15:13:33,259 Epoch: [227][600/631] Time 1.519s (1.556s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000608 (0.000581) Accuracy 0.893 (0.893) loss_pose: 0.000234 loss_cons: 0.000373 -2023-07-28 15:14:18,825 Epoch: [227][630/631] Time 1.512s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000558 (0.000582) Accuracy 0.894 (0.893) loss_pose: 0.000182 loss_cons: 0.000376 -2023-07-28 15:14:26,531 Test: [0/199] Time 5.698 (5.698) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-28 15:14:46,468 Test: [100/199] Time 0.194 (0.254) Loss 0.0002 (0.0002) Accuracy 0.913 (0.876) -2023-07-28 15:15:05,181 Test: [198/199] Time 0.153 (0.223) Loss 0.0002 (0.0002) Accuracy 0.924 (0.875) -2023-07-28 15:15:07,059 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 15:15:15,985 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:15:16,029 The Predictions of Net 1 -2023-07-28 15:15:16,029 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:15:16,029 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:15:16,031 | 256x192_pose_dual_101_d256d256d256 | 0.7451 | 0.9352 | 0.8244 | 0.7165 | 0.7847 | 0.7752 | 0.9402 | 0.8429 | 0.7424 | 0.8246 | -2023-07-28 15:15:16,773 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 15:15:21,628 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:15:21,674 The Predictions of Net 2 -2023-07-28 15:15:21,675 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:15:21,675 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:15:21,675 | 256x192_pose_dual_101_d256d256d256 | 0.7484 | 0.9355 | 0.8259 | 0.7239 | 0.7892 | 0.7771 | 0.9405 | 0.8470 | 0.7451 | 0.8259 | -2023-07-28 15:15:22,364 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 15:15:27,100 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:15:27,133 Ensemble Predictions -2023-07-28 15:15:27,134 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:15:27,135 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:15:27,135 | 256x192_pose_dual_101_d256d256d256 | 0.7557 | 0.9357 | 0.8362 | 0.7298 | 0.7967 | 0.7850 | 0.9427 | 0.8541 | 0.7530 | 0.8335 | -2023-07-28 15:15:27,136 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 15:15:37,537 Epoch: [228][0/631] Time 6.235s (6.235s) Speed 5.1 samples/s Data 4.588s (4.588s) Loss 0.000525 (0.000525) Accuracy 0.903 (0.903) loss_pose: 0.000199 loss_cons: 0.000327 -2023-07-28 15:18:12,546 Epoch: [228][100/631] Time 1.535s (1.596s) Speed 20.8 samples/s Data 0.001s (0.046s) Loss 0.000567 (0.000578) Accuracy 0.907 (0.892) loss_pose: 0.000188 loss_cons: 0.000379 -2023-07-28 15:20:47,947 Epoch: [228][200/631] Time 1.616s (1.575s) Speed 19.8 samples/s Data 0.000s (0.023s) Loss 0.000642 (0.000579) Accuracy 0.893 (0.894) loss_pose: 0.000223 loss_cons: 0.000420 -2023-07-28 15:23:24,775 Epoch: [228][300/631] Time 1.530s (1.573s) Speed 20.9 samples/s Data 0.000s (0.016s) Loss 0.000621 (0.000577) Accuracy 0.924 (0.896) loss_pose: 0.000183 loss_cons: 0.000438 -2023-07-28 15:25:59,124 Epoch: [228][400/631] Time 1.520s (1.566s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000575 (0.000577) Accuracy 0.892 (0.897) loss_pose: 0.000191 loss_cons: 0.000384 -2023-07-28 15:28:34,555 Epoch: [228][500/631] Time 1.511s (1.563s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000641 (0.000580) Accuracy 0.895 (0.895) loss_pose: 0.000220 loss_cons: 0.000421 -2023-07-28 15:31:08,801 Epoch: [228][600/631] Time 1.512s (1.560s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000673 (0.000582) Accuracy 0.899 (0.894) loss_pose: 0.000232 loss_cons: 0.000441 -2023-07-28 15:31:54,277 Epoch: [228][630/631] Time 1.513s (1.558s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000642 (0.000581) Accuracy 0.870 (0.894) loss_pose: 0.000256 loss_cons: 0.000386 -2023-07-28 15:32:01,759 Test: [0/199] Time 5.350 (5.350) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-28 15:32:22,472 Test: [100/199] Time 0.208 (0.259) Loss 0.0002 (0.0002) Accuracy 0.909 (0.876) -2023-07-28 15:32:41,212 Test: [198/199] Time 0.157 (0.226) Loss 0.0002 (0.0002) Accuracy 0.928 (0.875) -2023-07-28 15:32:42,729 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 15:32:53,582 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:32:53,619 The Predictions of Net 1 -2023-07-28 15:32:53,619 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:32:53,620 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:32:53,620 | 256x192_pose_dual_101_d256d256d256 | 0.7403 | 0.9257 | 0.8251 | 0.7159 | 0.7808 | 0.7721 | 0.9384 | 0.8421 | 0.7401 | 0.8206 | -2023-07-28 15:32:54,304 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 15:32:59,072 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:32:59,110 The Predictions of Net 2 -2023-07-28 15:32:59,110 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:32:59,110 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:32:59,111 | 256x192_pose_dual_101_d256d256d256 | 0.7437 | 0.9259 | 0.8249 | 0.7182 | 0.7830 | 0.7744 | 0.9394 | 0.8452 | 0.7421 | 0.8232 | -2023-07-28 15:32:59,796 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 15:33:04,533 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:33:04,567 Ensemble Predictions -2023-07-28 15:33:04,568 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:33:04,568 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:33:04,568 | 256x192_pose_dual_101_d256d256d256 | 0.7524 | 0.9357 | 0.8359 | 0.7283 | 0.7944 | 0.7829 | 0.9421 | 0.8544 | 0.7505 | 0.8315 | -2023-07-28 15:33:04,569 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 15:33:12,603 Epoch: [229][0/631] Time 5.112s (5.112s) Speed 6.3 samples/s Data 3.374s (3.374s) Loss 0.000565 (0.000565) Accuracy 0.890 (0.890) loss_pose: 0.000210 loss_cons: 0.000355 -2023-07-28 15:35:47,221 Epoch: [229][100/631] Time 1.603s (1.581s) Speed 20.0 samples/s Data 0.000s (0.034s) Loss 0.000561 (0.000573) Accuracy 0.928 (0.894) loss_pose: 0.000175 loss_cons: 0.000386 -2023-07-28 15:38:20,813 Epoch: [229][200/631] Time 1.524s (1.559s) Speed 21.0 samples/s Data 0.000s (0.017s) Loss 0.000669 (0.000574) Accuracy 0.833 (0.893) loss_pose: 0.000207 loss_cons: 0.000462 -2023-07-28 15:40:55,388 Epoch: [229][300/631] Time 1.525s (1.554s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000575 (0.000577) Accuracy 0.883 (0.893) loss_pose: 0.000222 loss_cons: 0.000353 -2023-07-28 15:43:31,766 Epoch: [229][400/631] Time 1.529s (1.557s) Speed 20.9 samples/s Data 0.001s (0.009s) Loss 0.000603 (0.000577) Accuracy 0.912 (0.894) loss_pose: 0.000182 loss_cons: 0.000421 -2023-07-28 15:46:07,799 Epoch: [229][500/631] Time 1.520s (1.558s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000527 (0.000578) Accuracy 0.888 (0.894) loss_pose: 0.000191 loss_cons: 0.000336 -2023-07-28 15:48:46,617 Epoch: [229][600/631] Time 1.517s (1.563s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000669 (0.000580) Accuracy 0.873 (0.894) loss_pose: 0.000193 loss_cons: 0.000476 -2023-07-28 15:49:32,004 Epoch: [229][630/631] Time 1.519s (1.560s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000540 (0.000580) Accuracy 0.818 (0.893) loss_pose: 0.000202 loss_cons: 0.000338 -2023-07-28 15:49:39,009 Test: [0/199] Time 4.431 (4.431) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-28 15:49:59,464 Test: [100/199] Time 0.202 (0.252) Loss 0.0002 (0.0002) Accuracy 0.917 (0.879) -2023-07-28 15:50:18,305 Test: [198/199] Time 0.166 (0.223) Loss 0.0002 (0.0002) Accuracy 0.941 (0.876) -2023-07-28 15:50:19,641 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 15:50:28,879 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:50:28,922 The Predictions of Net 1 -2023-07-28 15:50:28,923 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:50:28,924 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:50:28,924 | 256x192_pose_dual_101_d256d256d256 | 0.7454 | 0.9356 | 0.8257 | 0.7209 | 0.7858 | 0.7751 | 0.9413 | 0.8462 | 0.7430 | 0.8239 | -2023-07-28 15:50:29,621 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 15:50:36,600 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:50:36,638 The Predictions of Net 2 -2023-07-28 15:50:36,638 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:50:36,639 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:50:36,639 | 256x192_pose_dual_101_d256d256d256 | 0.7430 | 0.9258 | 0.8248 | 0.7186 | 0.7861 | 0.7756 | 0.9375 | 0.8452 | 0.7435 | 0.8239 | -2023-07-28 15:50:37,331 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 15:50:42,101 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 15:50:42,137 Ensemble Predictions -2023-07-28 15:50:42,138 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 15:50:42,139 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 15:50:42,139 | 256x192_pose_dual_101_d256d256d256 | 0.7555 | 0.9358 | 0.8362 | 0.7303 | 0.7954 | 0.7845 | 0.9422 | 0.8555 | 0.7532 | 0.8318 | -2023-07-28 15:50:42,140 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 15:50:50,863 Epoch: [230][0/631] Time 5.671s (5.671s) Speed 5.6 samples/s Data 3.993s (3.993s) Loss 0.000511 (0.000511) Accuracy 0.910 (0.910) loss_pose: 0.000192 loss_cons: 0.000319 -2023-07-28 15:53:33,598 Epoch: [230][100/631] Time 1.531s (1.667s) Speed 20.9 samples/s Data 0.000s (0.040s) Loss 0.000514 (0.000579) Accuracy 0.906 (0.896) loss_pose: 0.000230 loss_cons: 0.000284 -2023-07-28 15:56:09,137 Epoch: [230][200/631] Time 1.607s (1.612s) Speed 19.9 samples/s Data 0.000s (0.020s) Loss 0.000594 (0.000578) Accuracy 0.884 (0.895) loss_pose: 0.000198 loss_cons: 0.000397 -2023-07-28 15:58:46,290 Epoch: [230][300/631] Time 1.623s (1.598s) Speed 19.7 samples/s Data 0.000s (0.014s) Loss 0.000524 (0.000579) Accuracy 0.869 (0.896) loss_pose: 0.000187 loss_cons: 0.000337 -2023-07-28 16:01:20,968 Epoch: [230][400/631] Time 1.609s (1.585s) Speed 19.9 samples/s Data 0.000s (0.010s) Loss 0.000561 (0.000578) Accuracy 0.918 (0.896) loss_pose: 0.000173 loss_cons: 0.000388 -2023-07-28 16:03:57,152 Epoch: [230][500/631] Time 1.615s (1.581s) Speed 19.8 samples/s Data 0.000s (0.008s) Loss 0.000611 (0.000578) Accuracy 0.929 (0.896) loss_pose: 0.000199 loss_cons: 0.000412 -2023-07-28 16:06:32,505 Epoch: [230][600/631] Time 1.527s (1.576s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000698 (0.000579) Accuracy 0.881 (0.896) loss_pose: 0.000204 loss_cons: 0.000494 -2023-07-28 16:07:17,889 Epoch: [230][630/631] Time 1.519s (1.573s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000564 (0.000578) Accuracy 0.880 (0.896) loss_pose: 0.000249 loss_cons: 0.000315 -2023-07-28 16:07:26,088 Test: [0/199] Time 6.051 (6.051) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-28 16:07:46,070 Test: [100/199] Time 0.197 (0.258) Loss 0.0002 (0.0002) Accuracy 0.923 (0.879) -2023-07-28 16:08:04,957 Test: [198/199] Time 0.291 (0.226) Loss 0.0002 (0.0002) Accuracy 0.929 (0.876) -2023-07-28 16:08:06,474 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 16:08:15,751 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:08:15,786 The Predictions of Net 1 -2023-07-28 16:08:15,787 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:08:15,787 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:08:15,787 | 256x192_pose_dual_101_d256d256d256 | 0.7416 | 0.9261 | 0.8252 | 0.7179 | 0.7828 | 0.7738 | 0.9395 | 0.8435 | 0.7422 | 0.8213 | -2023-07-28 16:08:16,475 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 16:08:21,259 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:08:21,293 The Predictions of Net 2 -2023-07-28 16:08:21,294 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:08:21,294 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:08:21,294 | 256x192_pose_dual_101_d256d256d256 | 0.7437 | 0.9357 | 0.8245 | 0.7199 | 0.7830 | 0.7751 | 0.9403 | 0.8440 | 0.7448 | 0.8213 | -2023-07-28 16:08:21,985 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 16:08:28,831 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:08:28,869 Ensemble Predictions -2023-07-28 16:08:28,870 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:08:28,871 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:08:28,871 | 256x192_pose_dual_101_d256d256d256 | 0.7545 | 0.9360 | 0.8357 | 0.7300 | 0.7943 | 0.7832 | 0.9422 | 0.8508 | 0.7520 | 0.8311 | -2023-07-28 16:08:28,872 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 16:08:38,017 Epoch: [231][0/631] Time 6.158s (6.158s) Speed 5.2 samples/s Data 4.456s (4.456s) Loss 0.000544 (0.000544) Accuracy 0.886 (0.886) loss_pose: 0.000209 loss_cons: 0.000335 -2023-07-28 16:11:10,894 Epoch: [231][100/631] Time 1.516s (1.575s) Speed 21.1 samples/s Data 0.000s (0.044s) Loss 0.000537 (0.000569) Accuracy 0.915 (0.899) loss_pose: 0.000180 loss_cons: 0.000357 -2023-07-28 16:13:47,431 Epoch: [231][200/631] Time 1.520s (1.570s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000567 (0.000575) Accuracy 0.907 (0.896) loss_pose: 0.000202 loss_cons: 0.000365 -2023-07-28 16:16:21,865 Epoch: [231][300/631] Time 1.577s (1.561s) Speed 20.3 samples/s Data 0.000s (0.015s) Loss 0.000589 (0.000577) Accuracy 0.877 (0.895) loss_pose: 0.000211 loss_cons: 0.000377 -2023-07-28 16:18:54,749 Epoch: [231][400/631] Time 1.510s (1.553s) Speed 21.2 samples/s Data 0.000s (0.011s) Loss 0.000615 (0.000578) Accuracy 0.891 (0.895) loss_pose: 0.000204 loss_cons: 0.000411 -2023-07-28 16:21:29,304 Epoch: [231][500/631] Time 1.634s (1.552s) Speed 19.6 samples/s Data 0.000s (0.009s) Loss 0.000523 (0.000578) Accuracy 0.899 (0.895) loss_pose: 0.000206 loss_cons: 0.000317 -2023-07-28 16:24:01,884 Epoch: [231][600/631] Time 1.513s (1.547s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000581 (0.000579) Accuracy 0.920 (0.896) loss_pose: 0.000199 loss_cons: 0.000381 -2023-07-28 16:24:47,559 Epoch: [231][630/631] Time 1.505s (1.546s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000540 (0.000579) Accuracy 0.886 (0.896) loss_pose: 0.000203 loss_cons: 0.000338 -2023-07-28 16:24:55,016 Test: [0/199] Time 5.507 (5.507) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-28 16:25:15,335 Test: [100/199] Time 0.222 (0.257) Loss 0.0002 (0.0002) Accuracy 0.905 (0.878) -2023-07-28 16:25:34,355 Test: [198/199] Time 0.231 (0.226) Loss 0.0002 (0.0002) Accuracy 0.961 (0.876) -2023-07-28 16:25:36,000 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 16:25:45,872 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:25:45,913 The Predictions of Net 1 -2023-07-28 16:25:45,913 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:25:45,914 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:25:45,914 | 256x192_pose_dual_101_d256d256d256 | 0.7436 | 0.9257 | 0.8239 | 0.7196 | 0.7844 | 0.7748 | 0.9381 | 0.8430 | 0.7428 | 0.8233 | -2023-07-28 16:25:46,607 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 16:25:51,424 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:25:51,461 The Predictions of Net 2 -2023-07-28 16:25:51,461 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:25:51,462 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:25:51,462 | 256x192_pose_dual_101_d256d256d256 | 0.7455 | 0.9258 | 0.8255 | 0.7203 | 0.7852 | 0.7752 | 0.9386 | 0.8465 | 0.7433 | 0.8240 | -2023-07-28 16:25:52,152 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 16:25:56,962 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:25:56,996 Ensemble Predictions -2023-07-28 16:25:56,997 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:25:56,997 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:25:56,997 | 256x192_pose_dual_101_d256d256d256 | 0.7555 | 0.9361 | 0.8360 | 0.7306 | 0.7950 | 0.7837 | 0.9418 | 0.8530 | 0.7527 | 0.8308 | -2023-07-28 16:25:56,998 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 16:26:06,360 Epoch: [232][0/631] Time 6.148s (6.148s) Speed 5.2 samples/s Data 4.497s (4.497s) Loss 0.000529 (0.000529) Accuracy 0.924 (0.924) loss_pose: 0.000162 loss_cons: 0.000367 -2023-07-28 16:28:41,549 Epoch: [232][100/631] Time 1.516s (1.597s) Speed 21.1 samples/s Data 0.001s (0.045s) Loss 0.000608 (0.000571) Accuracy 0.890 (0.892) loss_pose: 0.000194 loss_cons: 0.000414 -2023-07-28 16:31:16,044 Epoch: [232][200/631] Time 1.593s (1.571s) Speed 20.1 samples/s Data 0.000s (0.023s) Loss 0.000620 (0.000573) Accuracy 0.894 (0.892) loss_pose: 0.000249 loss_cons: 0.000371 -2023-07-28 16:33:49,172 Epoch: [232][300/631] Time 1.536s (1.558s) Speed 20.8 samples/s Data 0.000s (0.015s) Loss 0.000646 (0.000578) Accuracy 0.877 (0.893) loss_pose: 0.000211 loss_cons: 0.000435 -2023-07-28 16:36:24,139 Epoch: [232][400/631] Time 1.531s (1.556s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000581 (0.000579) Accuracy 0.891 (0.892) loss_pose: 0.000185 loss_cons: 0.000396 -2023-07-28 16:38:57,345 Epoch: [232][500/631] Time 1.597s (1.551s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000648 (0.000580) Accuracy 0.902 (0.893) loss_pose: 0.000152 loss_cons: 0.000496 -2023-07-28 16:41:32,949 Epoch: [232][600/631] Time 1.531s (1.552s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000647 (0.000580) Accuracy 0.909 (0.894) loss_pose: 0.000172 loss_cons: 0.000475 -2023-07-28 16:42:18,312 Epoch: [232][630/631] Time 1.507s (1.550s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000524 (0.000580) Accuracy 0.885 (0.894) loss_pose: 0.000231 loss_cons: 0.000294 -2023-07-28 16:42:25,553 Test: [0/199] Time 4.878 (4.878) Loss 0.0002 (0.0002) Accuracy 0.921 (0.921) -2023-07-28 16:42:45,572 Test: [100/199] Time 0.202 (0.250) Loss 0.0002 (0.0002) Accuracy 0.909 (0.878) -2023-07-28 16:43:04,161 Test: [198/199] Time 0.136 (0.220) Loss 0.0002 (0.0002) Accuracy 0.931 (0.875) -2023-07-28 16:43:05,811 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 16:43:14,849 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:43:14,888 The Predictions of Net 1 -2023-07-28 16:43:14,890 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:43:14,890 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:43:14,890 | 256x192_pose_dual_101_d256d256d256 | 0.7408 | 0.9257 | 0.8244 | 0.7155 | 0.7815 | 0.7717 | 0.9369 | 0.8413 | 0.7392 | 0.8207 | -2023-07-28 16:43:15,586 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 16:43:20,382 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:43:20,418 The Predictions of Net 2 -2023-07-28 16:43:20,418 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:43:20,419 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:43:20,419 | 256x192_pose_dual_101_d256d256d256 | 0.7435 | 0.9258 | 0.8261 | 0.7219 | 0.7834 | 0.7744 | 0.9373 | 0.8473 | 0.7444 | 0.8205 | -2023-07-28 16:43:21,104 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 16:43:25,890 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 16:43:25,925 Ensemble Predictions -2023-07-28 16:43:25,926 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 16:43:25,927 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 16:43:25,927 | 256x192_pose_dual_101_d256d256d256 | 0.7548 | 0.9360 | 0.8359 | 0.7307 | 0.7955 | 0.7832 | 0.9416 | 0.8522 | 0.7515 | 0.8315 | -2023-07-28 16:43:25,927 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 16:43:34,003 Epoch: [233][0/631] Time 5.057s (5.057s) Speed 6.3 samples/s Data 3.336s (3.336s) Loss 0.000560 (0.000560) Accuracy 0.910 (0.910) loss_pose: 0.000182 loss_cons: 0.000378 -2023-07-28 16:46:09,381 Epoch: [233][100/631] Time 1.517s (1.588s) Speed 21.1 samples/s Data 0.000s (0.033s) Loss 0.000586 (0.000578) Accuracy 0.930 (0.892) loss_pose: 0.000163 loss_cons: 0.000424 -2023-07-28 16:48:44,383 Epoch: [233][200/631] Time 1.601s (1.569s) Speed 20.0 samples/s Data 0.000s (0.017s) Loss 0.000623 (0.000582) Accuracy 0.844 (0.890) loss_pose: 0.000266 loss_cons: 0.000357 -2023-07-28 16:51:18,396 Epoch: [233][300/631] Time 1.526s (1.560s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000688 (0.000579) Accuracy 0.928 (0.892) loss_pose: 0.000196 loss_cons: 0.000492 -2023-07-28 16:53:52,710 Epoch: [233][400/631] Time 1.514s (1.556s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000618 (0.000581) Accuracy 0.823 (0.893) loss_pose: 0.000275 loss_cons: 0.000343 -2023-07-28 16:56:26,931 Epoch: [233][500/631] Time 1.539s (1.553s) Speed 20.8 samples/s Data 0.000s (0.007s) Loss 0.000465 (0.000579) Accuracy 0.891 (0.894) loss_pose: 0.000192 loss_cons: 0.000273 -2023-07-28 16:59:00,865 Epoch: [233][600/631] Time 1.508s (1.551s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000672 (0.000579) Accuracy 0.887 (0.894) loss_pose: 0.000216 loss_cons: 0.000455 -2023-07-28 16:59:47,208 Epoch: [233][630/631] Time 1.608s (1.550s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000626 (0.000580) Accuracy 0.850 (0.893) loss_pose: 0.000241 loss_cons: 0.000384 -2023-07-28 16:59:54,940 Test: [0/199] Time 5.681 (5.681) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-28 17:00:14,715 Test: [100/199] Time 0.204 (0.252) Loss 0.0002 (0.0002) Accuracy 0.895 (0.878) -2023-07-28 17:00:33,344 Test: [198/199] Time 0.133 (0.222) Loss 0.0002 (0.0002) Accuracy 0.971 (0.875) -2023-07-28 17:00:35,297 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 17:00:46,520 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:00:46,554 The Predictions of Net 1 -2023-07-28 17:00:46,555 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:00:46,555 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:00:46,555 | 256x192_pose_dual_101_d256d256d256 | 0.7463 | 0.9355 | 0.8247 | 0.7203 | 0.7869 | 0.7765 | 0.9414 | 0.8456 | 0.7439 | 0.8259 | -2023-07-28 17:00:47,241 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 17:00:51,975 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:00:52,009 The Predictions of Net 2 -2023-07-28 17:00:52,010 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:00:52,010 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:00:52,010 | 256x192_pose_dual_101_d256d256d256 | 0.7433 | 0.9254 | 0.8249 | 0.7184 | 0.7859 | 0.7749 | 0.9359 | 0.8452 | 0.7438 | 0.8220 | -2023-07-28 17:00:52,694 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 17:00:57,512 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:00:57,546 Ensemble Predictions -2023-07-28 17:00:57,547 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:00:57,548 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:00:57,548 | 256x192_pose_dual_101_d256d256d256 | 0.7558 | 0.9355 | 0.8358 | 0.7298 | 0.7973 | 0.7852 | 0.9414 | 0.8552 | 0.7541 | 0.8324 | -2023-07-28 17:00:57,548 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 17:01:05,438 Epoch: [234][0/631] Time 4.966s (4.966s) Speed 6.4 samples/s Data 3.214s (3.214s) Loss 0.000581 (0.000581) Accuracy 0.902 (0.902) loss_pose: 0.000184 loss_cons: 0.000398 -2023-07-28 17:03:41,466 Epoch: [234][100/631] Time 1.586s (1.594s) Speed 20.2 samples/s Data 0.000s (0.032s) Loss 0.000535 (0.000568) Accuracy 0.918 (0.898) loss_pose: 0.000188 loss_cons: 0.000347 -2023-07-28 17:06:16,701 Epoch: [234][200/631] Time 1.534s (1.573s) Speed 20.9 samples/s Data 0.000s (0.016s) Loss 0.000478 (0.000571) Accuracy 0.889 (0.895) loss_pose: 0.000225 loss_cons: 0.000253 -2023-07-28 17:08:51,938 Epoch: [234][300/631] Time 1.525s (1.566s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000679 (0.000575) Accuracy 0.915 (0.894) loss_pose: 0.000202 loss_cons: 0.000477 -2023-07-28 17:11:25,764 Epoch: [234][400/631] Time 1.520s (1.559s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000559 (0.000577) Accuracy 0.898 (0.893) loss_pose: 0.000181 loss_cons: 0.000378 -2023-07-28 17:14:01,235 Epoch: [234][500/631] Time 1.514s (1.558s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000578 (0.000577) Accuracy 0.903 (0.895) loss_pose: 0.000191 loss_cons: 0.000386 -2023-07-28 17:16:34,390 Epoch: [234][600/631] Time 1.510s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000635 (0.000577) Accuracy 0.867 (0.895) loss_pose: 0.000237 loss_cons: 0.000398 -2023-07-28 17:17:19,800 Epoch: [234][630/631] Time 1.509s (1.552s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000635 (0.000577) Accuracy 0.919 (0.895) loss_pose: 0.000186 loss_cons: 0.000449 -2023-07-28 17:17:25,882 Test: [0/199] Time 4.040 (4.040) Loss 0.0002 (0.0002) Accuracy 0.901 (0.901) -2023-07-28 17:17:47,205 Test: [100/199] Time 0.204 (0.253) Loss 0.0002 (0.0002) Accuracy 0.912 (0.878) -2023-07-28 17:18:05,770 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.917 (0.875) -2023-07-28 17:18:06,900 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 17:18:16,320 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:18:16,360 The Predictions of Net 1 -2023-07-28 17:18:16,361 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:18:16,362 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:18:16,363 | 256x192_pose_dual_101_d256d256d256 | 0.7432 | 0.9262 | 0.8246 | 0.7191 | 0.7833 | 0.7752 | 0.9399 | 0.8462 | 0.7435 | 0.8230 | -2023-07-28 17:18:17,137 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 17:18:21,882 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:18:21,916 The Predictions of Net 2 -2023-07-28 17:18:21,917 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:18:21,918 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:18:21,918 | 256x192_pose_dual_101_d256d256d256 | 0.7494 | 0.9356 | 0.8260 | 0.7264 | 0.7869 | 0.7787 | 0.9425 | 0.8498 | 0.7496 | 0.8235 | -2023-07-28 17:18:24,647 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 17:18:29,376 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:18:29,410 Ensemble Predictions -2023-07-28 17:18:29,411 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:18:29,411 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:18:29,411 | 256x192_pose_dual_101_d256d256d256 | 0.7556 | 0.9360 | 0.8363 | 0.7301 | 0.7970 | 0.7859 | 0.9440 | 0.8572 | 0.7550 | 0.8333 | -2023-07-28 17:18:29,412 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 17:18:38,289 Epoch: [235][0/631] Time 5.987s (5.987s) Speed 5.3 samples/s Data 4.292s (4.292s) Loss 0.000532 (0.000532) Accuracy 0.916 (0.916) loss_pose: 0.000203 loss_cons: 0.000329 -2023-07-28 17:21:13,426 Epoch: [235][100/631] Time 1.523s (1.595s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000585 (0.000565) Accuracy 0.903 (0.891) loss_pose: 0.000202 loss_cons: 0.000382 -2023-07-28 17:23:47,968 Epoch: [235][200/631] Time 1.633s (1.570s) Speed 19.6 samples/s Data 0.000s (0.022s) Loss 0.000727 (0.000569) Accuracy 0.882 (0.895) loss_pose: 0.000216 loss_cons: 0.000512 -2023-07-28 17:26:22,428 Epoch: [235][300/631] Time 1.527s (1.562s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000649 (0.000573) Accuracy 0.887 (0.895) loss_pose: 0.000205 loss_cons: 0.000444 -2023-07-28 17:28:59,261 Epoch: [235][400/631] Time 1.524s (1.563s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000530 (0.000573) Accuracy 0.916 (0.896) loss_pose: 0.000190 loss_cons: 0.000339 -2023-07-28 17:31:34,774 Epoch: [235][500/631] Time 1.524s (1.562s) Speed 21.0 samples/s Data 0.001s (0.009s) Loss 0.000689 (0.000574) Accuracy 0.912 (0.896) loss_pose: 0.000194 loss_cons: 0.000496 -2023-07-28 17:34:11,625 Epoch: [235][600/631] Time 1.515s (1.563s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000586 (0.000576) Accuracy 0.886 (0.896) loss_pose: 0.000209 loss_cons: 0.000377 -2023-07-28 17:34:56,981 Epoch: [235][630/631] Time 1.515s (1.561s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000556 (0.000577) Accuracy 0.895 (0.895) loss_pose: 0.000188 loss_cons: 0.000369 -2023-07-28 17:35:05,211 Test: [0/199] Time 6.037 (6.037) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-28 17:35:24,790 Test: [100/199] Time 0.196 (0.254) Loss 0.0002 (0.0002) Accuracy 0.915 (0.878) -2023-07-28 17:35:43,265 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.937 (0.875) -2023-07-28 17:35:45,040 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 17:35:54,380 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:35:54,422 The Predictions of Net 1 -2023-07-28 17:35:54,423 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:35:54,424 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:35:54,424 | 256x192_pose_dual_101_d256d256d256 | 0.7444 | 0.9257 | 0.8241 | 0.7193 | 0.7865 | 0.7754 | 0.9394 | 0.8440 | 0.7423 | 0.8252 | -2023-07-28 17:35:55,119 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 17:36:00,037 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:36:00,071 The Predictions of Net 2 -2023-07-28 17:36:00,071 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:36:00,072 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:36:00,073 | 256x192_pose_dual_101_d256d256d256 | 0.7476 | 0.9255 | 0.8343 | 0.7237 | 0.7840 | 0.7768 | 0.9381 | 0.8501 | 0.7466 | 0.8231 | -2023-07-28 17:36:00,763 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 17:36:05,528 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:36:05,565 Ensemble Predictions -2023-07-28 17:36:05,566 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:36:05,566 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:36:05,566 | 256x192_pose_dual_101_d256d256d256 | 0.7558 | 0.9357 | 0.8353 | 0.7302 | 0.7972 | 0.7851 | 0.9429 | 0.8547 | 0.7527 | 0.8342 | -2023-07-28 17:36:05,567 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 17:36:14,015 Epoch: [236][0/631] Time 5.431s (5.431s) Speed 5.9 samples/s Data 3.724s (3.724s) Loss 0.000549 (0.000549) Accuracy 0.907 (0.907) loss_pose: 0.000191 loss_cons: 0.000359 -2023-07-28 17:38:49,909 Epoch: [236][100/631] Time 1.584s (1.597s) Speed 20.2 samples/s Data 0.000s (0.037s) Loss 0.000450 (0.000571) Accuracy 0.882 (0.896) loss_pose: 0.000181 loss_cons: 0.000269 -2023-07-28 17:41:28,360 Epoch: [236][200/631] Time 1.519s (1.591s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000515 (0.000575) Accuracy 0.889 (0.896) loss_pose: 0.000183 loss_cons: 0.000332 -2023-07-28 17:44:04,705 Epoch: [236][300/631] Time 1.530s (1.582s) Speed 20.9 samples/s Data 0.000s (0.013s) Loss 0.000868 (0.000607) Accuracy 0.782 (0.886) loss_pose: 0.000277 loss_cons: 0.000591 -2023-07-28 17:46:39,820 Epoch: [236][400/631] Time 1.594s (1.574s) Speed 20.1 samples/s Data 0.000s (0.010s) Loss 0.000687 (0.000633) Accuracy 0.870 (0.879) loss_pose: 0.000219 loss_cons: 0.000469 -2023-07-28 17:49:14,407 Epoch: [236][500/631] Time 1.511s (1.569s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000656 (0.000633) Accuracy 0.841 (0.879) loss_pose: 0.000238 loss_cons: 0.000419 -2023-07-28 17:51:50,502 Epoch: [236][600/631] Time 1.507s (1.567s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000677 (0.000632) Accuracy 0.854 (0.879) loss_pose: 0.000212 loss_cons: 0.000465 -2023-07-28 17:52:35,855 Epoch: [236][630/631] Time 1.511s (1.565s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000529 (0.000630) Accuracy 0.859 (0.880) loss_pose: 0.000231 loss_cons: 0.000298 -2023-07-28 17:52:43,694 Test: [0/199] Time 5.523 (5.523) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-28 17:53:03,967 Test: [100/199] Time 0.206 (0.256) Loss 0.0002 (0.0002) Accuracy 0.922 (0.873) -2023-07-28 17:53:23,022 Test: [198/199] Time 0.417 (0.226) Loss 0.0002 (0.0002) Accuracy 0.909 (0.869) -2023-07-28 17:53:24,243 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 17:53:33,669 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:53:33,715 The Predictions of Net 1 -2023-07-28 17:53:33,716 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:53:33,716 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:53:33,716 | 256x192_pose_dual_101_d256d256d256 | 0.7342 | 0.9254 | 0.8146 | 0.7094 | 0.7765 | 0.7657 | 0.9362 | 0.8369 | 0.7335 | 0.8146 | -2023-07-28 17:53:34,407 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 17:53:39,178 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:53:39,213 The Predictions of Net 2 -2023-07-28 17:53:39,214 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:53:39,214 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:53:39,214 | 256x192_pose_dual_101_d256d256d256 | 0.7443 | 0.9261 | 0.8252 | 0.7193 | 0.7880 | 0.7754 | 0.9388 | 0.8446 | 0.7425 | 0.8250 | -2023-07-28 17:53:39,905 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 17:53:44,704 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 17:53:44,740 Ensemble Predictions -2023-07-28 17:53:44,741 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 17:53:44,741 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 17:53:44,741 | 256x192_pose_dual_101_d256d256d256 | 0.7534 | 0.9359 | 0.8360 | 0.7265 | 0.7906 | 0.7805 | 0.9421 | 0.8504 | 0.7494 | 0.8277 | -2023-07-28 17:53:44,742 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 17:53:52,955 Epoch: [237][0/631] Time 5.243s (5.243s) Speed 6.1 samples/s Data 3.557s (3.557s) Loss 0.000694 (0.000694) Accuracy 0.867 (0.867) loss_pose: 0.000227 loss_cons: 0.000467 -2023-07-28 17:56:28,940 Epoch: [237][100/631] Time 1.524s (1.596s) Speed 21.0 samples/s Data 0.000s (0.036s) Loss 0.000549 (0.000597) Accuracy 0.899 (0.889) loss_pose: 0.000171 loss_cons: 0.000377 -2023-07-28 17:59:04,139 Epoch: [237][200/631] Time 1.513s (1.574s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000619 (0.000592) Accuracy 0.872 (0.889) loss_pose: 0.000190 loss_cons: 0.000429 -2023-07-28 18:01:38,647 Epoch: [237][300/631] Time 1.517s (1.565s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000673 (0.000590) Accuracy 0.876 (0.888) loss_pose: 0.000225 loss_cons: 0.000448 -2023-07-28 18:04:13,540 Epoch: [237][400/631] Time 1.616s (1.561s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000511 (0.000590) Accuracy 0.910 (0.888) loss_pose: 0.000171 loss_cons: 0.000340 -2023-07-28 18:06:48,505 Epoch: [237][500/631] Time 1.516s (1.558s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000678 (0.000590) Accuracy 0.881 (0.888) loss_pose: 0.000196 loss_cons: 0.000482 -2023-07-28 18:09:24,039 Epoch: [237][600/631] Time 1.598s (1.558s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000607 (0.000590) Accuracy 0.888 (0.888) loss_pose: 0.000222 loss_cons: 0.000385 -2023-07-28 18:10:09,697 Epoch: [237][630/631] Time 1.513s (1.556s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000595 (0.000589) Accuracy 0.908 (0.888) loss_pose: 0.000170 loss_cons: 0.000425 -2023-07-28 18:10:17,848 Test: [0/199] Time 5.889 (5.889) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-28 18:10:37,626 Test: [100/199] Time 0.199 (0.255) Loss 0.0002 (0.0002) Accuracy 0.914 (0.877) -2023-07-28 18:10:56,245 Test: [198/199] Time 0.137 (0.223) Loss 0.0002 (0.0002) Accuracy 0.955 (0.875) -2023-07-28 18:10:58,053 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 18:11:09,425 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:11:09,469 The Predictions of Net 1 -2023-07-28 18:11:09,470 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:11:09,470 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:11:09,470 | 256x192_pose_dual_101_d256d256d256 | 0.7458 | 0.9356 | 0.8241 | 0.7186 | 0.7886 | 0.7750 | 0.9400 | 0.8440 | 0.7412 | 0.8263 | -2023-07-28 18:11:10,154 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 18:11:14,884 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:11:14,919 The Predictions of Net 2 -2023-07-28 18:11:14,919 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:11:14,920 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:11:14,920 | 256x192_pose_dual_101_d256d256d256 | 0.7461 | 0.9259 | 0.8248 | 0.7190 | 0.7889 | 0.7775 | 0.9395 | 0.8460 | 0.7447 | 0.8269 | -2023-07-28 18:11:15,604 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 18:11:20,280 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:11:20,314 Ensemble Predictions -2023-07-28 18:11:20,315 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:11:20,315 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:11:20,315 | 256x192_pose_dual_101_d256d256d256 | 0.7564 | 0.9361 | 0.8359 | 0.7291 | 0.7981 | 0.7865 | 0.9435 | 0.8547 | 0.7537 | 0.8356 | -2023-07-28 18:11:20,317 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 18:11:29,115 Epoch: [238][0/631] Time 5.798s (5.798s) Speed 5.5 samples/s Data 4.124s (4.124s) Loss 0.000579 (0.000579) Accuracy 0.908 (0.908) loss_pose: 0.000191 loss_cons: 0.000388 -2023-07-28 18:14:05,187 Epoch: [238][100/631] Time 1.588s (1.603s) Speed 20.1 samples/s Data 0.000s (0.041s) Loss 0.000570 (0.000578) Accuracy 0.924 (0.897) loss_pose: 0.000168 loss_cons: 0.000402 -2023-07-28 18:16:40,033 Epoch: [238][200/631] Time 1.527s (1.576s) Speed 21.0 samples/s Data 0.001s (0.021s) Loss 0.000606 (0.000580) Accuracy 0.898 (0.894) loss_pose: 0.000215 loss_cons: 0.000391 -2023-07-28 18:19:13,589 Epoch: [238][300/631] Time 1.518s (1.562s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000706 (0.000581) Accuracy 0.873 (0.894) loss_pose: 0.000175 loss_cons: 0.000530 -2023-07-28 18:21:50,286 Epoch: [238][400/631] Time 1.564s (1.564s) Speed 20.5 samples/s Data 0.000s (0.011s) Loss 0.000599 (0.000582) Accuracy 0.845 (0.893) loss_pose: 0.000247 loss_cons: 0.000351 -2023-07-28 18:24:28,134 Epoch: [238][500/631] Time 1.615s (1.567s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000559 (0.000582) Accuracy 0.941 (0.893) loss_pose: 0.000171 loss_cons: 0.000388 -2023-07-28 18:27:04,666 Epoch: [238][600/631] Time 1.508s (1.566s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000598 (0.000581) Accuracy 0.915 (0.893) loss_pose: 0.000189 loss_cons: 0.000409 -2023-07-28 18:27:49,975 Epoch: [238][630/631] Time 1.515s (1.564s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000561 (0.000581) Accuracy 0.906 (0.893) loss_pose: 0.000196 loss_cons: 0.000365 -2023-07-28 18:27:57,669 Test: [0/199] Time 5.456 (5.456) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-28 18:28:18,091 Test: [100/199] Time 0.202 (0.257) Loss 0.0002 (0.0002) Accuracy 0.909 (0.877) -2023-07-28 18:28:37,017 Test: [198/199] Time 0.257 (0.226) Loss 0.0002 (0.0002) Accuracy 0.957 (0.874) -2023-07-28 18:28:38,463 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 18:28:47,496 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:28:47,540 The Predictions of Net 1 -2023-07-28 18:28:47,541 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:28:47,542 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:28:47,542 | 256x192_pose_dual_101_d256d256d256 | 0.7444 | 0.9260 | 0.8252 | 0.7200 | 0.7847 | 0.7742 | 0.9377 | 0.8451 | 0.7422 | 0.8228 | -2023-07-28 18:28:48,236 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 18:28:55,105 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:28:55,142 The Predictions of Net 2 -2023-07-28 18:28:55,142 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:28:55,143 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:28:55,143 | 256x192_pose_dual_101_d256d256d256 | 0.7460 | 0.9258 | 0.8247 | 0.7214 | 0.7881 | 0.7769 | 0.9384 | 0.8478 | 0.7449 | 0.8250 | -2023-07-28 18:28:55,827 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 18:29:00,517 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:29:00,551 Ensemble Predictions -2023-07-28 18:29:00,552 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:29:00,552 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:29:00,552 | 256x192_pose_dual_101_d256d256d256 | 0.7542 | 0.9360 | 0.8354 | 0.7292 | 0.7968 | 0.7838 | 0.9422 | 0.8548 | 0.7516 | 0.8327 | -2023-07-28 18:29:00,553 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 18:29:09,689 Epoch: [239][0/631] Time 6.189s (6.189s) Speed 5.2 samples/s Data 4.523s (4.523s) Loss 0.000538 (0.000538) Accuracy 0.909 (0.909) loss_pose: 0.000193 loss_cons: 0.000345 -2023-07-28 18:31:52,655 Epoch: [239][100/631] Time 1.602s (1.675s) Speed 20.0 samples/s Data 0.000s (0.045s) Loss 0.000580 (0.000572) Accuracy 0.926 (0.894) loss_pose: 0.000195 loss_cons: 0.000384 -2023-07-28 18:34:27,847 Epoch: [239][200/631] Time 1.513s (1.614s) Speed 21.1 samples/s Data 0.000s (0.023s) Loss 0.000510 (0.000574) Accuracy 0.903 (0.894) loss_pose: 0.000166 loss_cons: 0.000344 -2023-07-28 18:37:03,996 Epoch: [239][300/631] Time 1.598s (1.596s) Speed 20.0 samples/s Data 0.000s (0.015s) Loss 0.000664 (0.000574) Accuracy 0.899 (0.893) loss_pose: 0.000214 loss_cons: 0.000449 -2023-07-28 18:39:38,324 Epoch: [239][400/631] Time 1.516s (1.583s) Speed 21.1 samples/s Data 0.001s (0.012s) Loss 0.000623 (0.000578) Accuracy 0.901 (0.893) loss_pose: 0.000225 loss_cons: 0.000398 -2023-07-28 18:42:13,007 Epoch: [239][500/631] Time 1.523s (1.576s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000493 (0.000576) Accuracy 0.887 (0.894) loss_pose: 0.000190 loss_cons: 0.000303 -2023-07-28 18:44:47,694 Epoch: [239][600/631] Time 1.527s (1.571s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000662 (0.000576) Accuracy 0.936 (0.894) loss_pose: 0.000175 loss_cons: 0.000487 -2023-07-28 18:45:33,159 Epoch: [239][630/631] Time 1.521s (1.568s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000507 (0.000576) Accuracy 0.904 (0.894) loss_pose: 0.000204 loss_cons: 0.000303 -2023-07-28 18:45:40,952 Test: [0/199] Time 5.165 (5.165) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-28 18:46:00,908 Test: [100/199] Time 0.199 (0.251) Loss 0.0002 (0.0002) Accuracy 0.910 (0.879) -2023-07-28 18:46:19,620 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.948 (0.877) -2023-07-28 18:46:21,372 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 18:46:31,308 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:46:31,348 The Predictions of Net 1 -2023-07-28 18:46:31,349 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:46:31,350 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:46:31,350 | 256x192_pose_dual_101_d256d256d256 | 0.7447 | 0.9263 | 0.8265 | 0.7212 | 0.7866 | 0.7747 | 0.9380 | 0.8457 | 0.7432 | 0.8225 | -2023-07-28 18:46:32,054 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 18:46:36,903 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:46:36,938 The Predictions of Net 2 -2023-07-28 18:46:36,939 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:46:36,939 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:46:36,939 | 256x192_pose_dual_101_d256d256d256 | 0.7453 | 0.9255 | 0.8258 | 0.7187 | 0.7886 | 0.7757 | 0.9361 | 0.8462 | 0.7420 | 0.8263 | -2023-07-28 18:46:37,638 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 18:46:44,599 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 18:46:44,635 Ensemble Predictions -2023-07-28 18:46:44,635 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 18:46:44,636 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 18:46:44,636 | 256x192_pose_dual_101_d256d256d256 | 0.7567 | 0.9359 | 0.8369 | 0.7307 | 0.7993 | 0.7849 | 0.9411 | 0.8572 | 0.7530 | 0.8336 | -2023-07-28 18:46:44,637 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 18:46:52,732 Epoch: [240][0/631] Time 5.184s (5.184s) Speed 6.2 samples/s Data 3.449s (3.449s) Loss 0.000588 (0.000588) Accuracy 0.927 (0.927) loss_pose: 0.000154 loss_cons: 0.000434 -2023-07-28 18:49:28,395 Epoch: [240][100/631] Time 1.616s (1.593s) Speed 19.8 samples/s Data 0.000s (0.035s) Loss 0.000552 (0.000570) Accuracy 0.923 (0.895) loss_pose: 0.000185 loss_cons: 0.000367 -2023-07-28 18:52:04,390 Epoch: [240][200/631] Time 1.522s (1.576s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000543 (0.000570) Accuracy 0.895 (0.895) loss_pose: 0.000174 loss_cons: 0.000370 -2023-07-28 18:54:38,809 Epoch: [240][300/631] Time 1.515s (1.566s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000652 (0.000571) Accuracy 0.881 (0.896) loss_pose: 0.000218 loss_cons: 0.000434 -2023-07-28 18:57:13,024 Epoch: [240][400/631] Time 1.529s (1.560s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000568 (0.000576) Accuracy 0.923 (0.893) loss_pose: 0.000164 loss_cons: 0.000403 -2023-07-28 18:59:46,632 Epoch: [240][500/631] Time 1.512s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000479 (0.000576) Accuracy 0.892 (0.894) loss_pose: 0.000179 loss_cons: 0.000300 -2023-07-28 19:02:20,199 Epoch: [240][600/631] Time 1.507s (1.552s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000609 (0.000577) Accuracy 0.922 (0.894) loss_pose: 0.000176 loss_cons: 0.000433 -2023-07-28 19:03:05,530 Epoch: [240][630/631] Time 1.512s (1.550s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000594 (0.000576) Accuracy 0.889 (0.894) loss_pose: 0.000183 loss_cons: 0.000411 -2023-07-28 19:03:13,057 Test: [0/199] Time 5.199 (5.199) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-28 19:03:33,229 Test: [100/199] Time 0.200 (0.252) Loss 0.0002 (0.0002) Accuracy 0.908 (0.877) -2023-07-28 19:03:51,805 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.928 (0.874) -2023-07-28 19:03:53,378 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 19:04:03,088 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:04:03,130 The Predictions of Net 1 -2023-07-28 19:04:03,131 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:04:03,132 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:04:03,132 | 256x192_pose_dual_101_d256d256d256 | 0.7443 | 0.9258 | 0.8247 | 0.7202 | 0.7839 | 0.7749 | 0.9389 | 0.8454 | 0.7435 | 0.8228 | -2023-07-28 19:04:03,854 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 19:04:08,719 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:04:08,756 The Predictions of Net 2 -2023-07-28 19:04:08,756 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:04:08,757 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:04:08,757 | 256x192_pose_dual_101_d256d256d256 | 0.7437 | 0.9255 | 0.8248 | 0.7196 | 0.7859 | 0.7758 | 0.9392 | 0.8467 | 0.7441 | 0.8237 | -2023-07-28 19:04:09,464 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 19:04:14,266 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:04:14,300 Ensemble Predictions -2023-07-28 19:04:14,300 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:04:14,301 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:04:14,301 | 256x192_pose_dual_101_d256d256d256 | 0.7554 | 0.9359 | 0.8362 | 0.7299 | 0.7956 | 0.7846 | 0.9430 | 0.8556 | 0.7541 | 0.8311 | -2023-07-28 19:04:14,302 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 19:04:22,947 Epoch: [241][0/631] Time 5.566s (5.566s) Speed 5.7 samples/s Data 3.847s (3.847s) Loss 0.000552 (0.000552) Accuracy 0.880 (0.880) loss_pose: 0.000212 loss_cons: 0.000340 -2023-07-28 19:06:59,275 Epoch: [241][100/631] Time 1.580s (1.603s) Speed 20.2 samples/s Data 0.000s (0.039s) Loss 0.000543 (0.000566) Accuracy 0.931 (0.895) loss_pose: 0.000188 loss_cons: 0.000355 -2023-07-28 19:09:35,201 Epoch: [241][200/631] Time 1.589s (1.581s) Speed 20.1 samples/s Data 0.000s (0.020s) Loss 0.000632 (0.000569) Accuracy 0.911 (0.897) loss_pose: 0.000191 loss_cons: 0.000441 -2023-07-28 19:12:10,975 Epoch: [241][300/631] Time 1.519s (1.573s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000620 (0.000571) Accuracy 0.869 (0.897) loss_pose: 0.000215 loss_cons: 0.000405 -2023-07-28 19:14:46,130 Epoch: [241][400/631] Time 1.519s (1.568s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000707 (0.000571) Accuracy 0.903 (0.896) loss_pose: 0.000201 loss_cons: 0.000506 -2023-07-28 19:17:21,865 Epoch: [241][500/631] Time 1.522s (1.566s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000527 (0.000572) Accuracy 0.898 (0.896) loss_pose: 0.000218 loss_cons: 0.000308 -2023-07-28 19:19:55,770 Epoch: [241][600/631] Time 1.503s (1.561s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000581 (0.000574) Accuracy 0.875 (0.896) loss_pose: 0.000226 loss_cons: 0.000355 -2023-07-28 19:20:43,434 Epoch: [241][630/631] Time 1.605s (1.563s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000533 (0.000575) Accuracy 0.949 (0.896) loss_pose: 0.000172 loss_cons: 0.000361 -2023-07-28 19:20:50,832 Test: [0/199] Time 4.812 (4.812) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-28 19:21:11,189 Test: [100/199] Time 0.201 (0.253) Loss 0.0002 (0.0002) Accuracy 0.906 (0.878) -2023-07-28 19:21:29,922 Test: [198/199] Time 0.142 (0.223) Loss 0.0002 (0.0002) Accuracy 0.922 (0.877) -2023-07-28 19:21:31,231 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 19:21:42,385 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:21:42,419 The Predictions of Net 1 -2023-07-28 19:21:42,420 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:21:42,421 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:21:42,421 | 256x192_pose_dual_101_d256d256d256 | 0.7452 | 0.9353 | 0.8258 | 0.7212 | 0.7848 | 0.7751 | 0.9402 | 0.8478 | 0.7438 | 0.8227 | -2023-07-28 19:21:43,109 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 19:21:47,860 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:21:47,907 The Predictions of Net 2 -2023-07-28 19:21:47,908 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:21:47,908 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:21:47,908 | 256x192_pose_dual_101_d256d256d256 | 0.7445 | 0.9350 | 0.8250 | 0.7196 | 0.7862 | 0.7751 | 0.9402 | 0.8457 | 0.7417 | 0.8256 | -2023-07-28 19:21:48,593 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 19:21:53,290 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:21:53,325 Ensemble Predictions -2023-07-28 19:21:53,325 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:21:53,325 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:21:53,326 | 256x192_pose_dual_101_d256d256d256 | 0.7553 | 0.9359 | 0.8368 | 0.7306 | 0.7968 | 0.7847 | 0.9424 | 0.8556 | 0.7520 | 0.8340 | -2023-07-28 19:21:53,327 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 19:22:01,738 Epoch: [242][0/631] Time 5.446s (5.446s) Speed 5.9 samples/s Data 3.772s (3.772s) Loss 0.000487 (0.000487) Accuracy 0.929 (0.929) loss_pose: 0.000160 loss_cons: 0.000327 -2023-07-28 19:24:37,768 Epoch: [242][100/631] Time 1.525s (1.599s) Speed 21.0 samples/s Data 0.000s (0.038s) Loss 0.000591 (0.000572) Accuracy 0.918 (0.896) loss_pose: 0.000170 loss_cons: 0.000422 -2023-07-28 19:27:13,395 Epoch: [242][200/631] Time 1.574s (1.578s) Speed 20.3 samples/s Data 0.000s (0.019s) Loss 0.000572 (0.000572) Accuracy 0.931 (0.895) loss_pose: 0.000147 loss_cons: 0.000426 -2023-07-28 19:29:47,945 Epoch: [242][300/631] Time 1.511s (1.567s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000599 (0.000571) Accuracy 0.871 (0.895) loss_pose: 0.000185 loss_cons: 0.000413 -2023-07-28 19:32:21,795 Epoch: [242][400/631] Time 1.661s (1.560s) Speed 19.3 samples/s Data 0.000s (0.010s) Loss 0.000536 (0.000575) Accuracy 0.899 (0.894) loss_pose: 0.000169 loss_cons: 0.000367 -2023-07-28 19:34:55,819 Epoch: [242][500/631] Time 1.513s (1.556s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000568 (0.000574) Accuracy 0.925 (0.894) loss_pose: 0.000189 loss_cons: 0.000380 -2023-07-28 19:37:29,420 Epoch: [242][600/631] Time 1.586s (1.553s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000510 (0.000573) Accuracy 0.918 (0.895) loss_pose: 0.000188 loss_cons: 0.000322 -2023-07-28 19:38:17,133 Epoch: [242][630/631] Time 1.594s (1.554s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000593 (0.000573) Accuracy 0.881 (0.895) loss_pose: 0.000225 loss_cons: 0.000369 -2023-07-28 19:38:24,841 Test: [0/199] Time 5.564 (5.564) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-28 19:38:44,713 Test: [100/199] Time 0.201 (0.253) Loss 0.0002 (0.0002) Accuracy 0.904 (0.878) -2023-07-28 19:39:03,180 Test: [198/199] Time 0.133 (0.221) Loss 0.0002 (0.0002) Accuracy 0.922 (0.877) -2023-07-28 19:39:04,570 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 19:39:14,086 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:39:14,127 The Predictions of Net 1 -2023-07-28 19:39:14,128 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:39:14,128 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:39:14,128 | 256x192_pose_dual_101_d256d256d256 | 0.7439 | 0.9257 | 0.8257 | 0.7181 | 0.7881 | 0.7745 | 0.9381 | 0.8460 | 0.7411 | 0.8246 | -2023-07-28 19:39:14,821 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 19:39:22,243 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:39:22,282 The Predictions of Net 2 -2023-07-28 19:39:22,283 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:39:22,283 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:39:22,283 | 256x192_pose_dual_101_d256d256d256 | 0.7457 | 0.9260 | 0.8257 | 0.7199 | 0.7881 | 0.7768 | 0.9392 | 0.8473 | 0.7436 | 0.8268 | -2023-07-28 19:39:22,976 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 19:39:27,830 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:39:27,869 Ensemble Predictions -2023-07-28 19:39:27,870 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:39:27,870 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:39:27,870 | 256x192_pose_dual_101_d256d256d256 | 0.7552 | 0.9357 | 0.8365 | 0.7295 | 0.7992 | 0.7849 | 0.9414 | 0.8563 | 0.7520 | 0.8345 | -2023-07-28 19:39:27,872 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 19:39:36,108 Epoch: [243][0/631] Time 5.103s (5.103s) Speed 6.3 samples/s Data 3.407s (3.407s) Loss 0.000553 (0.000553) Accuracy 0.937 (0.937) loss_pose: 0.000179 loss_cons: 0.000375 -2023-07-28 19:42:10,688 Epoch: [243][100/631] Time 1.612s (1.581s) Speed 19.9 samples/s Data 0.000s (0.034s) Loss 0.000704 (0.000577) Accuracy 0.881 (0.899) loss_pose: 0.000219 loss_cons: 0.000484 -2023-07-28 19:44:44,087 Epoch: [243][200/631] Time 1.609s (1.558s) Speed 19.9 samples/s Data 0.000s (0.017s) Loss 0.000551 (0.000575) Accuracy 0.931 (0.896) loss_pose: 0.000202 loss_cons: 0.000349 -2023-07-28 19:47:19,275 Epoch: [243][300/631] Time 1.575s (1.556s) Speed 20.3 samples/s Data 0.000s (0.012s) Loss 0.000634 (0.000575) Accuracy 0.881 (0.895) loss_pose: 0.000208 loss_cons: 0.000426 -2023-07-28 19:49:54,974 Epoch: [243][400/631] Time 1.619s (1.556s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000550 (0.000577) Accuracy 0.876 (0.895) loss_pose: 0.000216 loss_cons: 0.000334 -2023-07-28 19:52:29,344 Epoch: [243][500/631] Time 1.527s (1.554s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000462 (0.000575) Accuracy 0.895 (0.894) loss_pose: 0.000177 loss_cons: 0.000286 -2023-07-28 19:55:02,319 Epoch: [243][600/631] Time 1.502s (1.550s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000628 (0.000578) Accuracy 0.924 (0.895) loss_pose: 0.000188 loss_cons: 0.000440 -2023-07-28 19:55:47,779 Epoch: [243][630/631] Time 1.513s (1.548s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000665 (0.000577) Accuracy 0.896 (0.895) loss_pose: 0.000212 loss_cons: 0.000453 -2023-07-28 19:55:55,082 Test: [0/199] Time 4.787 (4.787) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-28 19:56:16,013 Test: [100/199] Time 0.199 (0.257) Loss 0.0002 (0.0002) Accuracy 0.909 (0.877) -2023-07-28 19:56:34,619 Test: [198/199] Time 0.134 (0.224) Loss 0.0002 (0.0002) Accuracy 0.948 (0.876) -2023-07-28 19:56:36,750 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 19:56:46,314 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:56:46,361 The Predictions of Net 1 -2023-07-28 19:56:46,361 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:56:46,362 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:56:46,363 | 256x192_pose_dual_101_d256d256d256 | 0.7468 | 0.9262 | 0.8265 | 0.7220 | 0.7884 | 0.7768 | 0.9394 | 0.8463 | 0.7437 | 0.8264 | -2023-07-28 19:56:47,078 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 19:56:51,906 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:56:51,940 The Predictions of Net 2 -2023-07-28 19:56:51,941 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:56:51,941 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:56:51,941 | 256x192_pose_dual_101_d256d256d256 | 0.7457 | 0.9259 | 0.8266 | 0.7228 | 0.7873 | 0.7771 | 0.9372 | 0.8498 | 0.7456 | 0.8248 | -2023-07-28 19:56:52,644 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 19:56:59,598 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 19:56:59,634 Ensemble Predictions -2023-07-28 19:56:59,635 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 19:56:59,636 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 19:56:59,636 | 256x192_pose_dual_101_d256d256d256 | 0.7565 | 0.9359 | 0.8371 | 0.7305 | 0.7970 | 0.7854 | 0.9424 | 0.8558 | 0.7538 | 0.8330 | -2023-07-28 19:56:59,637 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 19:57:08,130 Epoch: [244][0/631] Time 5.467s (5.467s) Speed 5.9 samples/s Data 3.761s (3.761s) Loss 0.000553 (0.000553) Accuracy 0.879 (0.879) loss_pose: 0.000204 loss_cons: 0.000349 -2023-07-28 19:59:44,040 Epoch: [244][100/631] Time 1.598s (1.598s) Speed 20.0 samples/s Data 0.000s (0.038s) Loss 0.000562 (0.000565) Accuracy 0.919 (0.890) loss_pose: 0.000182 loss_cons: 0.000380 -2023-07-28 20:02:19,558 Epoch: [244][200/631] Time 1.595s (1.577s) Speed 20.1 samples/s Data 0.000s (0.019s) Loss 0.000588 (0.000568) Accuracy 0.897 (0.894) loss_pose: 0.000173 loss_cons: 0.000415 -2023-07-28 20:04:55,110 Epoch: [244][300/631] Time 1.616s (1.570s) Speed 19.8 samples/s Data 0.000s (0.013s) Loss 0.000634 (0.000570) Accuracy 0.926 (0.895) loss_pose: 0.000172 loss_cons: 0.000462 -2023-07-28 20:07:30,167 Epoch: [244][400/631] Time 1.551s (1.565s) Speed 20.6 samples/s Data 0.000s (0.010s) Loss 0.000678 (0.000574) Accuracy 0.901 (0.894) loss_pose: 0.000201 loss_cons: 0.000477 -2023-07-28 20:10:04,582 Epoch: [244][500/631] Time 1.544s (1.561s) Speed 20.7 samples/s Data 0.000s (0.008s) Loss 0.000505 (0.000576) Accuracy 0.861 (0.893) loss_pose: 0.000255 loss_cons: 0.000250 -2023-07-28 20:12:40,775 Epoch: [244][600/631] Time 1.609s (1.561s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000555 (0.000576) Accuracy 0.867 (0.893) loss_pose: 0.000201 loss_cons: 0.000354 -2023-07-28 20:13:26,158 Epoch: [244][630/631] Time 1.514s (1.559s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000557 (0.000576) Accuracy 0.911 (0.893) loss_pose: 0.000192 loss_cons: 0.000365 -2023-07-28 20:13:33,811 Test: [0/199] Time 5.245 (5.245) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-28 20:13:54,195 Test: [100/199] Time 0.197 (0.255) Loss 0.0002 (0.0002) Accuracy 0.913 (0.878) -2023-07-28 20:14:13,129 Test: [198/199] Time 0.215 (0.225) Loss 0.0002 (0.0002) Accuracy 0.942 (0.875) -2023-07-28 20:14:14,986 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 20:14:24,868 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:14:24,913 The Predictions of Net 1 -2023-07-28 20:14:24,914 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:14:24,914 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:14:24,914 | 256x192_pose_dual_101_d256d256d256 | 0.7448 | 0.9260 | 0.8255 | 0.7198 | 0.7850 | 0.7749 | 0.9399 | 0.8438 | 0.7429 | 0.8232 | -2023-07-28 20:14:25,605 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 20:14:30,352 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:14:30,384 The Predictions of Net 2 -2023-07-28 20:14:30,384 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:14:30,385 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:14:30,385 | 256x192_pose_dual_101_d256d256d256 | 0.7487 | 0.9359 | 0.8259 | 0.7239 | 0.7890 | 0.7779 | 0.9425 | 0.8471 | 0.7468 | 0.8256 | -2023-07-28 20:14:31,086 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 20:14:35,836 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:14:35,872 Ensemble Predictions -2023-07-28 20:14:35,873 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:14:35,873 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:14:35,873 | 256x192_pose_dual_101_d256d256d256 | 0.7556 | 0.9361 | 0.8364 | 0.7299 | 0.7972 | 0.7852 | 0.9443 | 0.8564 | 0.7544 | 0.8324 | -2023-07-28 20:14:35,874 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 20:14:45,003 Epoch: [245][0/631] Time 6.128s (6.128s) Speed 5.2 samples/s Data 4.468s (4.468s) Loss 0.000559 (0.000559) Accuracy 0.880 (0.880) loss_pose: 0.000191 loss_cons: 0.000367 -2023-07-28 20:17:20,272 Epoch: [245][100/631] Time 1.519s (1.598s) Speed 21.1 samples/s Data 0.000s (0.045s) Loss 0.000598 (0.000567) Accuracy 0.863 (0.899) loss_pose: 0.000233 loss_cons: 0.000365 -2023-07-28 20:19:55,912 Epoch: [245][200/631] Time 1.510s (1.577s) Speed 21.2 samples/s Data 0.000s (0.023s) Loss 0.000590 (0.000576) Accuracy 0.869 (0.896) loss_pose: 0.000198 loss_cons: 0.000392 -2023-07-28 20:22:30,951 Epoch: [245][300/631] Time 1.642s (1.568s) Speed 19.5 samples/s Data 0.000s (0.015s) Loss 0.000713 (0.000576) Accuracy 0.864 (0.895) loss_pose: 0.000225 loss_cons: 0.000488 -2023-07-28 20:25:04,159 Epoch: [245][400/631] Time 1.524s (1.559s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000533 (0.000577) Accuracy 0.909 (0.895) loss_pose: 0.000152 loss_cons: 0.000382 -2023-07-28 20:27:41,431 Epoch: [245][500/631] Time 1.530s (1.562s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000543 (0.000576) Accuracy 0.856 (0.896) loss_pose: 0.000212 loss_cons: 0.000331 -2023-07-28 20:30:16,766 Epoch: [245][600/631] Time 1.505s (1.561s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000552 (0.000576) Accuracy 0.889 (0.896) loss_pose: 0.000188 loss_cons: 0.000364 -2023-07-28 20:31:02,995 Epoch: [245][630/631] Time 1.504s (1.560s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000589 (0.000577) Accuracy 0.908 (0.896) loss_pose: 0.000190 loss_cons: 0.000399 -2023-07-28 20:31:10,814 Test: [0/199] Time 5.577 (5.577) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-28 20:31:30,740 Test: [100/199] Time 0.201 (0.253) Loss 0.0002 (0.0002) Accuracy 0.911 (0.880) -2023-07-28 20:31:49,445 Test: [198/199] Time 0.139 (0.223) Loss 0.0002 (0.0002) Accuracy 0.924 (0.878) -2023-07-28 20:31:53,717 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 20:32:02,966 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:32:03,008 The Predictions of Net 1 -2023-07-28 20:32:03,009 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:32:03,010 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:32:03,010 | 256x192_pose_dual_101_d256d256d256 | 0.7490 | 0.9358 | 0.8267 | 0.7208 | 0.7888 | 0.7776 | 0.9408 | 0.8474 | 0.7442 | 0.8275 | -2023-07-28 20:32:03,697 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 20:32:08,543 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:32:08,583 The Predictions of Net 2 -2023-07-28 20:32:08,584 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:32:08,584 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:32:08,585 | 256x192_pose_dual_101_d256d256d256 | 0.7448 | 0.9257 | 0.8251 | 0.7215 | 0.7833 | 0.7750 | 0.9378 | 0.8473 | 0.7444 | 0.8213 | -2023-07-28 20:32:09,272 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 20:32:14,079 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:32:14,114 Ensemble Predictions -2023-07-28 20:32:14,115 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:32:14,116 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:32:14,116 | 256x192_pose_dual_101_d256d256d256 | 0.7566 | 0.9358 | 0.8367 | 0.7324 | 0.7959 | 0.7848 | 0.9418 | 0.8572 | 0.7542 | 0.8314 | -2023-07-28 20:32:14,117 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 20:32:24,061 Epoch: [246][0/631] Time 5.938s (5.938s) Speed 5.4 samples/s Data 4.252s (4.252s) Loss 0.000624 (0.000624) Accuracy 0.881 (0.881) loss_pose: 0.000218 loss_cons: 0.000406 -2023-07-28 20:34:59,432 Epoch: [246][100/631] Time 1.625s (1.597s) Speed 19.7 samples/s Data 0.000s (0.042s) Loss 0.000526 (0.000580) Accuracy 0.869 (0.896) loss_pose: 0.000235 loss_cons: 0.000291 -2023-07-28 20:37:35,360 Epoch: [246][200/631] Time 1.523s (1.578s) Speed 21.0 samples/s Data 0.000s (0.022s) Loss 0.000592 (0.000579) Accuracy 0.875 (0.896) loss_pose: 0.000189 loss_cons: 0.000403 -2023-07-28 20:40:08,894 Epoch: [246][300/631] Time 1.514s (1.564s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000631 (0.000580) Accuracy 0.870 (0.895) loss_pose: 0.000212 loss_cons: 0.000419 -2023-07-28 20:42:43,404 Epoch: [246][400/631] Time 1.529s (1.559s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000676 (0.000579) Accuracy 0.855 (0.897) loss_pose: 0.000256 loss_cons: 0.000420 -2023-07-28 20:45:18,416 Epoch: [246][500/631] Time 1.515s (1.557s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000568 (0.000579) Accuracy 0.911 (0.897) loss_pose: 0.000192 loss_cons: 0.000376 -2023-07-28 20:47:53,976 Epoch: [246][600/631] Time 1.624s (1.557s) Speed 19.7 samples/s Data 0.000s (0.007s) Loss 0.000674 (0.000579) Accuracy 0.853 (0.897) loss_pose: 0.000216 loss_cons: 0.000458 -2023-07-28 20:48:40,132 Epoch: [246][630/631] Time 1.503s (1.556s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000503 (0.000578) Accuracy 0.865 (0.897) loss_pose: 0.000186 loss_cons: 0.000317 -2023-07-28 20:48:47,399 Test: [0/199] Time 4.835 (4.835) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-28 20:49:08,162 Test: [100/199] Time 0.197 (0.255) Loss 0.0002 (0.0002) Accuracy 0.922 (0.877) -2023-07-28 20:49:26,872 Test: [198/199] Time 0.209 (0.224) Loss 0.0002 (0.0002) Accuracy 0.950 (0.875) -2023-07-28 20:49:28,799 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 20:49:38,518 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:49:38,560 The Predictions of Net 1 -2023-07-28 20:49:38,562 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:49:38,562 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:49:38,562 | 256x192_pose_dual_101_d256d256d256 | 0.7429 | 0.9256 | 0.8247 | 0.7178 | 0.7851 | 0.7741 | 0.9384 | 0.8446 | 0.7412 | 0.8240 | -2023-07-28 20:49:41,343 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 20:49:46,183 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:49:46,216 The Predictions of Net 2 -2023-07-28 20:49:46,217 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:49:46,218 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:49:46,218 | 256x192_pose_dual_101_d256d256d256 | 0.7477 | 0.9357 | 0.8343 | 0.7239 | 0.7851 | 0.7773 | 0.9408 | 0.8504 | 0.7464 | 0.8244 | -2023-07-28 20:49:46,902 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 20:49:51,645 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 20:49:51,680 Ensemble Predictions -2023-07-28 20:49:51,681 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 20:49:51,682 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 20:49:51,682 | 256x192_pose_dual_101_d256d256d256 | 0.7549 | 0.9356 | 0.8367 | 0.7300 | 0.7979 | 0.7857 | 0.9429 | 0.8589 | 0.7536 | 0.8347 | -2023-07-28 20:49:51,683 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 20:49:59,625 Epoch: [247][0/631] Time 5.032s (5.032s) Speed 6.4 samples/s Data 3.122s (3.122s) Loss 0.000522 (0.000522) Accuracy 0.913 (0.913) loss_pose: 0.000173 loss_cons: 0.000350 -2023-07-28 20:52:35,524 Epoch: [247][100/631] Time 1.623s (1.593s) Speed 19.7 samples/s Data 0.000s (0.031s) Loss 0.000463 (0.000572) Accuracy 0.896 (0.896) loss_pose: 0.000168 loss_cons: 0.000295 -2023-07-28 20:55:10,029 Epoch: [247][200/631] Time 1.616s (1.569s) Speed 19.8 samples/s Data 0.000s (0.016s) Loss 0.000651 (0.000572) Accuracy 0.873 (0.894) loss_pose: 0.000227 loss_cons: 0.000424 -2023-07-28 20:57:44,765 Epoch: [247][300/631] Time 1.515s (1.562s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000659 (0.000572) Accuracy 0.896 (0.894) loss_pose: 0.000179 loss_cons: 0.000480 -2023-07-28 21:00:23,197 Epoch: [247][400/631] Time 1.516s (1.568s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000596 (0.000576) Accuracy 0.850 (0.893) loss_pose: 0.000201 loss_cons: 0.000395 -2023-07-28 21:03:00,928 Epoch: [247][500/631] Time 1.525s (1.570s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000592 (0.000576) Accuracy 0.869 (0.895) loss_pose: 0.000224 loss_cons: 0.000368 -2023-07-28 21:05:37,529 Epoch: [247][600/631] Time 1.518s (1.569s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000560 (0.000575) Accuracy 0.879 (0.896) loss_pose: 0.000211 loss_cons: 0.000350 -2023-07-28 21:06:23,002 Epoch: [247][630/631] Time 1.562s (1.566s) Speed 20.5 samples/s Data 0.000s (0.005s) Loss 0.000522 (0.000574) Accuracy 0.926 (0.896) loss_pose: 0.000177 loss_cons: 0.000344 -2023-07-28 21:06:30,525 Test: [0/199] Time 5.163 (5.163) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-28 21:06:50,829 Test: [100/199] Time 0.203 (0.253) Loss 0.0002 (0.0002) Accuracy 0.921 (0.879) -2023-07-28 21:07:09,402 Test: [198/199] Time 0.142 (0.222) Loss 0.0002 (0.0002) Accuracy 0.928 (0.877) -2023-07-28 21:07:10,970 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 21:07:20,229 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:07:20,269 The Predictions of Net 1 -2023-07-28 21:07:20,270 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:07:20,270 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:07:20,270 | 256x192_pose_dual_101_d256d256d256 | 0.7482 | 0.9356 | 0.8251 | 0.7211 | 0.7883 | 0.7777 | 0.9413 | 0.8484 | 0.7451 | 0.8269 | -2023-07-28 21:07:20,963 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 21:07:27,898 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:07:27,932 The Predictions of Net 2 -2023-07-28 21:07:27,933 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:07:27,933 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:07:27,933 | 256x192_pose_dual_101_d256d256d256 | 0.7473 | 0.9257 | 0.8341 | 0.7218 | 0.7880 | 0.7781 | 0.9375 | 0.8501 | 0.7447 | 0.8285 | -2023-07-28 21:07:28,622 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 21:07:33,359 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:07:33,393 Ensemble Predictions -2023-07-28 21:07:33,394 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:07:33,395 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:07:33,395 | 256x192_pose_dual_101_d256d256d256 | 0.7573 | 0.9356 | 0.8365 | 0.7321 | 0.8001 | 0.7876 | 0.9440 | 0.8583 | 0.7555 | 0.8363 | -2023-07-28 21:07:33,396 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 21:07:43,323 Epoch: [248][0/631] Time 5.913s (5.913s) Speed 5.4 samples/s Data 4.245s (4.245s) Loss 0.000542 (0.000542) Accuracy 0.912 (0.912) loss_pose: 0.000202 loss_cons: 0.000340 -2023-07-28 21:10:26,055 Epoch: [248][100/631] Time 1.607s (1.670s) Speed 19.9 samples/s Data 0.000s (0.042s) Loss 0.000604 (0.000569) Accuracy 0.876 (0.897) loss_pose: 0.000211 loss_cons: 0.000393 -2023-07-28 21:13:01,717 Epoch: [248][200/631] Time 1.592s (1.613s) Speed 20.1 samples/s Data 0.000s (0.022s) Loss 0.000500 (0.000571) Accuracy 0.895 (0.895) loss_pose: 0.000184 loss_cons: 0.000316 -2023-07-28 21:15:36,321 Epoch: [248][300/631] Time 1.519s (1.591s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000689 (0.000575) Accuracy 0.883 (0.896) loss_pose: 0.000200 loss_cons: 0.000489 -2023-07-28 21:18:11,463 Epoch: [248][400/631] Time 1.606s (1.581s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000515 (0.000576) Accuracy 0.901 (0.896) loss_pose: 0.000180 loss_cons: 0.000335 -2023-07-28 21:20:48,169 Epoch: [248][500/631] Time 1.527s (1.578s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000563 (0.000575) Accuracy 0.855 (0.895) loss_pose: 0.000244 loss_cons: 0.000319 -2023-07-28 21:23:22,023 Epoch: [248][600/631] Time 1.511s (1.572s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000744 (0.000576) Accuracy 0.775 (0.895) loss_pose: 0.000330 loss_cons: 0.000414 -2023-07-28 21:24:08,241 Epoch: [248][630/631] Time 1.591s (1.570s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000576 (0.000576) Accuracy 0.906 (0.895) loss_pose: 0.000193 loss_cons: 0.000383 -2023-07-28 21:24:16,088 Test: [0/199] Time 5.862 (5.862) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-28 21:24:35,667 Test: [100/199] Time 0.196 (0.252) Loss 0.0002 (0.0002) Accuracy 0.912 (0.877) -2023-07-28 21:24:54,205 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.933 (0.875) -2023-07-28 21:24:55,719 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 21:25:05,534 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:25:05,575 The Predictions of Net 1 -2023-07-28 21:25:05,576 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:25:05,577 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:25:05,577 | 256x192_pose_dual_101_d256d256d256 | 0.7434 | 0.9352 | 0.8247 | 0.7178 | 0.7851 | 0.7734 | 0.9400 | 0.8462 | 0.7402 | 0.8232 | -2023-07-28 21:25:06,270 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 21:25:11,068 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:25:11,101 The Predictions of Net 2 -2023-07-28 21:25:11,102 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:25:11,103 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:25:11,103 | 256x192_pose_dual_101_d256d256d256 | 0.7441 | 0.9259 | 0.8243 | 0.7174 | 0.7860 | 0.7754 | 0.9399 | 0.8459 | 0.7426 | 0.8252 | -2023-07-28 21:25:11,806 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 21:25:16,573 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:25:16,606 Ensemble Predictions -2023-07-28 21:25:16,607 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:25:16,608 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:25:16,608 | 256x192_pose_dual_101_d256d256d256 | 0.7532 | 0.9359 | 0.8353 | 0.7267 | 0.7938 | 0.7826 | 0.9422 | 0.8536 | 0.7503 | 0.8315 | -2023-07-28 21:25:16,609 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 21:25:25,417 Epoch: [249][0/631] Time 5.761s (5.761s) Speed 5.6 samples/s Data 4.104s (4.104s) Loss 0.000654 (0.000654) Accuracy 0.822 (0.822) loss_pose: 0.000253 loss_cons: 0.000400 -2023-07-28 21:28:02,010 Epoch: [249][100/631] Time 1.526s (1.607s) Speed 21.0 samples/s Data 0.000s (0.041s) Loss 0.000567 (0.000567) Accuracy 0.904 (0.896) loss_pose: 0.000220 loss_cons: 0.000347 -2023-07-28 21:30:36,413 Epoch: [249][200/631] Time 1.516s (1.576s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000543 (0.000569) Accuracy 0.923 (0.894) loss_pose: 0.000206 loss_cons: 0.000337 -2023-07-28 21:33:10,417 Epoch: [249][300/631] Time 1.601s (1.564s) Speed 20.0 samples/s Data 0.000s (0.014s) Loss 0.000631 (0.000568) Accuracy 0.793 (0.895) loss_pose: 0.000218 loss_cons: 0.000412 -2023-07-28 21:35:45,359 Epoch: [249][400/631] Time 1.516s (1.560s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000643 (0.000569) Accuracy 0.888 (0.896) loss_pose: 0.000215 loss_cons: 0.000428 -2023-07-28 21:38:19,606 Epoch: [249][500/631] Time 1.523s (1.557s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000521 (0.000569) Accuracy 0.907 (0.896) loss_pose: 0.000188 loss_cons: 0.000333 -2023-07-28 21:40:52,037 Epoch: [249][600/631] Time 1.515s (1.551s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000603 (0.000572) Accuracy 0.898 (0.897) loss_pose: 0.000208 loss_cons: 0.000395 -2023-07-28 21:41:37,483 Epoch: [249][630/631] Time 1.517s (1.550s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000588 (0.000573) Accuracy 0.910 (0.896) loss_pose: 0.000189 loss_cons: 0.000399 -2023-07-28 21:41:45,869 Test: [0/199] Time 6.123 (6.123) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-28 21:42:05,701 Test: [100/199] Time 0.207 (0.257) Loss 0.0002 (0.0002) Accuracy 0.921 (0.878) -2023-07-28 21:42:24,420 Test: [198/199] Time 0.161 (0.225) Loss 0.0002 (0.0002) Accuracy 0.948 (0.877) -2023-07-28 21:42:26,360 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 21:42:36,097 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:42:36,138 The Predictions of Net 1 -2023-07-28 21:42:36,139 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:42:36,140 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:42:36,140 | 256x192_pose_dual_101_d256d256d256 | 0.7464 | 0.9263 | 0.8246 | 0.7215 | 0.7866 | 0.7756 | 0.9394 | 0.8434 | 0.7436 | 0.8241 | -2023-07-28 21:42:36,832 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 21:42:41,606 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:42:41,644 The Predictions of Net 2 -2023-07-28 21:42:41,645 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:42:41,645 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:42:41,645 | 256x192_pose_dual_101_d256d256d256 | 0.7469 | 0.9258 | 0.8259 | 0.7208 | 0.7902 | 0.7775 | 0.9395 | 0.8487 | 0.7452 | 0.8268 | -2023-07-28 21:42:42,333 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 21:42:47,102 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 21:42:47,135 Ensemble Predictions -2023-07-28 21:42:47,136 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 21:42:47,136 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 21:42:47,136 | 256x192_pose_dual_101_d256d256d256 | 0.7570 | 0.9361 | 0.8365 | 0.7307 | 0.7999 | 0.7866 | 0.9427 | 0.8552 | 0.7544 | 0.8354 | -2023-07-28 21:42:47,137 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 21:42:56,159 Epoch: [250][0/631] Time 6.063s (6.063s) Speed 5.3 samples/s Data 4.384s (4.384s) Loss 0.000519 (0.000519) Accuracy 0.863 (0.863) loss_pose: 0.000228 loss_cons: 0.000291 -2023-07-28 21:45:30,313 Epoch: [250][100/631] Time 1.525s (1.586s) Speed 21.0 samples/s Data 0.000s (0.044s) Loss 0.000556 (0.000578) Accuracy 0.872 (0.892) loss_pose: 0.000240 loss_cons: 0.000316 -2023-07-28 21:48:05,347 Epoch: [250][200/631] Time 1.542s (1.568s) Speed 20.8 samples/s Data 0.000s (0.022s) Loss 0.000570 (0.000576) Accuracy 0.901 (0.896) loss_pose: 0.000162 loss_cons: 0.000408 -2023-07-28 21:50:39,820 Epoch: [250][300/631] Time 1.521s (1.561s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000696 (0.000574) Accuracy 0.913 (0.897) loss_pose: 0.000203 loss_cons: 0.000493 -2023-07-28 21:53:13,440 Epoch: [250][400/631] Time 1.540s (1.554s) Speed 20.8 samples/s Data 0.000s (0.011s) Loss 0.000542 (0.000575) Accuracy 0.905 (0.897) loss_pose: 0.000188 loss_cons: 0.000355 -2023-07-28 21:55:47,035 Epoch: [250][500/631] Time 1.517s (1.551s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000548 (0.000575) Accuracy 0.915 (0.897) loss_pose: 0.000185 loss_cons: 0.000364 -2023-07-28 21:58:22,254 Epoch: [250][600/631] Time 1.610s (1.551s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000584 (0.000576) Accuracy 0.913 (0.896) loss_pose: 0.000179 loss_cons: 0.000405 -2023-07-28 21:59:07,690 Epoch: [250][630/631] Time 1.507s (1.549s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000480 (0.000575) Accuracy 0.920 (0.897) loss_pose: 0.000196 loss_cons: 0.000285 -2023-07-28 21:59:14,623 Test: [0/199] Time 4.677 (4.677) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-28 21:59:35,288 Test: [100/199] Time 0.203 (0.253) Loss 0.0002 (0.0002) Accuracy 0.934 (0.877) -2023-07-28 21:59:53,978 Test: [198/199] Time 0.141 (0.222) Loss 0.0002 (0.0002) Accuracy 0.902 (0.876) -2023-07-28 21:59:55,829 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 22:00:07,154 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:00:07,190 The Predictions of Net 1 -2023-07-28 22:00:07,191 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:00:07,191 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:00:07,192 | 256x192_pose_dual_101_d256d256d256 | 0.7449 | 0.9355 | 0.8255 | 0.7204 | 0.7857 | 0.7759 | 0.9413 | 0.8498 | 0.7431 | 0.8256 | -2023-07-28 22:00:07,877 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 22:00:12,642 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:00:12,694 The Predictions of Net 2 -2023-07-28 22:00:12,694 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:00:12,695 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:00:12,695 | 256x192_pose_dual_101_d256d256d256 | 0.7502 | 0.9352 | 0.8253 | 0.7217 | 0.7936 | 0.7795 | 0.9406 | 0.8492 | 0.7459 | 0.8302 | -2023-07-28 22:00:13,379 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 22:00:18,065 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:00:18,097 Ensemble Predictions -2023-07-28 22:00:18,098 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:00:18,098 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:00:18,099 | 256x192_pose_dual_101_d256d256d256 | 0.7558 | 0.9356 | 0.8362 | 0.7298 | 0.8001 | 0.7861 | 0.9433 | 0.8561 | 0.7533 | 0.8361 | -2023-07-28 22:00:18,099 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 22:00:27,314 Epoch: [251][0/631] Time 6.261s (6.261s) Speed 5.1 samples/s Data 4.570s (4.570s) Loss 0.000472 (0.000472) Accuracy 0.934 (0.934) loss_pose: 0.000174 loss_cons: 0.000298 -2023-07-28 22:03:03,227 Epoch: [251][100/631] Time 1.544s (1.606s) Speed 20.7 samples/s Data 0.000s (0.046s) Loss 0.000585 (0.000571) Accuracy 0.899 (0.898) loss_pose: 0.000206 loss_cons: 0.000380 -2023-07-28 22:05:38,154 Epoch: [251][200/631] Time 1.532s (1.578s) Speed 20.9 samples/s Data 0.000s (0.023s) Loss 0.000553 (0.000573) Accuracy 0.877 (0.898) loss_pose: 0.000208 loss_cons: 0.000345 -2023-07-28 22:08:12,439 Epoch: [251][300/631] Time 1.516s (1.566s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000640 (0.000573) Accuracy 0.887 (0.897) loss_pose: 0.000205 loss_cons: 0.000435 -2023-07-28 22:10:46,097 Epoch: [251][400/631] Time 1.536s (1.559s) Speed 20.8 samples/s Data 0.000s (0.012s) Loss 0.000599 (0.000577) Accuracy 0.914 (0.896) loss_pose: 0.000185 loss_cons: 0.000414 -2023-07-28 22:13:21,135 Epoch: [251][500/631] Time 1.614s (1.557s) Speed 19.8 samples/s Data 0.000s (0.010s) Loss 0.000558 (0.000577) Accuracy 0.874 (0.895) loss_pose: 0.000225 loss_cons: 0.000333 -2023-07-28 22:15:55,149 Epoch: [251][600/631] Time 1.513s (1.554s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000519 (0.000577) Accuracy 0.910 (0.896) loss_pose: 0.000199 loss_cons: 0.000320 -2023-07-28 22:16:40,940 Epoch: [251][630/631] Time 1.525s (1.553s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000504 (0.000577) Accuracy 0.916 (0.896) loss_pose: 0.000178 loss_cons: 0.000326 -2023-07-28 22:16:48,330 Test: [0/199] Time 5.399 (5.399) Loss 0.0002 (0.0002) Accuracy 0.904 (0.904) -2023-07-28 22:17:08,471 Test: [100/199] Time 0.207 (0.254) Loss 0.0002 (0.0002) Accuracy 0.931 (0.878) -2023-07-28 22:17:27,250 Test: [198/199] Time 0.153 (0.223) Loss 0.0002 (0.0002) Accuracy 0.934 (0.875) -2023-07-28 22:17:29,135 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 22:17:38,545 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:17:38,590 The Predictions of Net 1 -2023-07-28 22:17:38,591 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:17:38,592 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:17:38,592 | 256x192_pose_dual_101_d256d256d256 | 0.7450 | 0.9354 | 0.8246 | 0.7184 | 0.7864 | 0.7745 | 0.9411 | 0.8441 | 0.7421 | 0.8238 | -2023-07-28 22:17:39,295 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 22:17:46,255 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:17:46,291 The Predictions of Net 2 -2023-07-28 22:17:46,291 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:17:46,292 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:17:46,293 | 256x192_pose_dual_101_d256d256d256 | 0.7455 | 0.9356 | 0.8250 | 0.7197 | 0.7883 | 0.7760 | 0.9429 | 0.8449 | 0.7437 | 0.8250 | -2023-07-28 22:17:46,989 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 22:17:51,830 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:17:51,869 Ensemble Predictions -2023-07-28 22:17:51,870 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:17:51,870 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:17:51,871 | 256x192_pose_dual_101_d256d256d256 | 0.7550 | 0.9354 | 0.8352 | 0.7278 | 0.7981 | 0.7847 | 0.9443 | 0.8523 | 0.7521 | 0.8340 | -2023-07-28 22:17:51,872 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 22:18:00,709 Epoch: [252][0/631] Time 5.623s (5.623s) Speed 5.7 samples/s Data 3.936s (3.936s) Loss 0.000520 (0.000520) Accuracy 0.881 (0.881) loss_pose: 0.000192 loss_cons: 0.000327 -2023-07-28 22:20:35,025 Epoch: [252][100/631] Time 1.513s (1.584s) Speed 21.2 samples/s Data 0.000s (0.039s) Loss 0.000731 (0.000577) Accuracy 0.825 (0.891) loss_pose: 0.000212 loss_cons: 0.000518 -2023-07-28 22:23:10,891 Epoch: [252][200/631] Time 1.519s (1.571s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000594 (0.000576) Accuracy 0.912 (0.892) loss_pose: 0.000190 loss_cons: 0.000404 -2023-07-28 22:25:44,951 Epoch: [252][300/631] Time 1.515s (1.561s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000673 (0.000577) Accuracy 0.895 (0.894) loss_pose: 0.000191 loss_cons: 0.000482 -2023-07-28 22:28:19,162 Epoch: [252][400/631] Time 1.517s (1.556s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000613 (0.000579) Accuracy 0.881 (0.894) loss_pose: 0.000208 loss_cons: 0.000405 -2023-07-28 22:30:53,148 Epoch: [252][500/631] Time 1.529s (1.553s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000541 (0.000578) Accuracy 0.887 (0.895) loss_pose: 0.000187 loss_cons: 0.000354 -2023-07-28 22:33:27,078 Epoch: [252][600/631] Time 1.588s (1.551s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000653 (0.000579) Accuracy 0.885 (0.895) loss_pose: 0.000217 loss_cons: 0.000436 -2023-07-28 22:34:12,544 Epoch: [252][630/631] Time 1.513s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000604 (0.000579) Accuracy 0.892 (0.895) loss_pose: 0.000196 loss_cons: 0.000408 -2023-07-28 22:34:20,009 Test: [0/199] Time 5.310 (5.310) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-28 22:34:40,324 Test: [100/199] Time 0.199 (0.255) Loss 0.0002 (0.0002) Accuracy 0.924 (0.880) -2023-07-28 22:34:59,144 Test: [198/199] Time 0.163 (0.224) Loss 0.0002 (0.0002) Accuracy 0.934 (0.877) -2023-07-28 22:35:00,719 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 22:35:10,408 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:35:10,447 The Predictions of Net 1 -2023-07-28 22:35:10,447 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:35:10,448 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:35:10,448 | 256x192_pose_dual_101_d256d256d256 | 0.7483 | 0.9350 | 0.8260 | 0.7218 | 0.7913 | 0.7775 | 0.9403 | 0.8465 | 0.7443 | 0.8275 | -2023-07-28 22:35:11,138 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 22:35:15,849 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:35:15,883 The Predictions of Net 2 -2023-07-28 22:35:15,884 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:35:15,884 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:35:15,884 | 256x192_pose_dual_101_d256d256d256 | 0.7512 | 0.9358 | 0.8357 | 0.7271 | 0.7900 | 0.7798 | 0.9413 | 0.8520 | 0.7477 | 0.8286 | -2023-07-28 22:35:16,570 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 22:35:23,431 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:35:23,469 Ensemble Predictions -2023-07-28 22:35:23,470 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:35:23,470 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:35:23,470 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9359 | 0.8377 | 0.7311 | 0.8016 | 0.7867 | 0.9433 | 0.8577 | 0.7539 | 0.8368 | -2023-07-28 22:35:23,471 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 22:35:33,508 Epoch: [253][0/631] Time 6.088s (6.088s) Speed 5.3 samples/s Data 4.359s (4.359s) Loss 0.000486 (0.000486) Accuracy 0.893 (0.893) loss_pose: 0.000194 loss_cons: 0.000292 -2023-07-28 22:38:08,259 Epoch: [253][100/631] Time 1.519s (1.592s) Speed 21.1 samples/s Data 0.000s (0.044s) Loss 0.000622 (0.000573) Accuracy 0.901 (0.901) loss_pose: 0.000191 loss_cons: 0.000432 -2023-07-28 22:40:41,563 Epoch: [253][200/631] Time 1.523s (1.563s) Speed 21.0 samples/s Data 0.000s (0.022s) Loss 0.000559 (0.000576) Accuracy 0.899 (0.897) loss_pose: 0.000170 loss_cons: 0.000390 -2023-07-28 22:43:15,531 Epoch: [253][300/631] Time 1.519s (1.555s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000624 (0.000574) Accuracy 0.900 (0.897) loss_pose: 0.000201 loss_cons: 0.000424 -2023-07-28 22:45:49,682 Epoch: [253][400/631] Time 1.525s (1.552s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000585 (0.000578) Accuracy 0.884 (0.895) loss_pose: 0.000203 loss_cons: 0.000383 -2023-07-28 22:48:25,549 Epoch: [253][500/631] Time 1.633s (1.553s) Speed 19.6 samples/s Data 0.000s (0.009s) Loss 0.000571 (0.000577) Accuracy 0.883 (0.896) loss_pose: 0.000257 loss_cons: 0.000314 -2023-07-28 22:51:02,106 Epoch: [253][600/631] Time 1.609s (1.555s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000609 (0.000578) Accuracy 0.894 (0.896) loss_pose: 0.000198 loss_cons: 0.000411 -2023-07-28 22:51:48,155 Epoch: [253][630/631] Time 1.507s (1.554s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000493 (0.000577) Accuracy 0.909 (0.896) loss_pose: 0.000197 loss_cons: 0.000295 -2023-07-28 22:51:54,720 Test: [0/199] Time 4.310 (4.310) Loss 0.0002 (0.0002) Accuracy 0.895 (0.895) -2023-07-28 22:52:15,424 Test: [100/199] Time 0.220 (0.251) Loss 0.0002 (0.0002) Accuracy 0.917 (0.879) -2023-07-28 22:52:34,289 Test: [198/199] Time 0.165 (0.222) Loss 0.0002 (0.0002) Accuracy 0.923 (0.876) -2023-07-28 22:52:35,721 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 22:52:44,915 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:52:44,958 The Predictions of Net 1 -2023-07-28 22:52:44,959 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:52:44,960 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:52:44,960 | 256x192_pose_dual_101_d256d256d256 | 0.7454 | 0.9258 | 0.8256 | 0.7217 | 0.7835 | 0.7756 | 0.9397 | 0.8473 | 0.7445 | 0.8228 | -2023-07-28 22:52:45,658 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 22:52:50,437 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:52:50,474 The Predictions of Net 2 -2023-07-28 22:52:50,475 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:52:50,476 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:52:50,476 | 256x192_pose_dual_101_d256d256d256 | 0.7435 | 0.9257 | 0.8248 | 0.7181 | 0.7845 | 0.7747 | 0.9391 | 0.8459 | 0.7423 | 0.8236 | -2023-07-28 22:52:51,162 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 22:52:55,892 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 22:52:55,925 Ensemble Predictions -2023-07-28 22:52:55,926 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 22:52:55,926 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 22:52:55,926 | 256x192_pose_dual_101_d256d256d256 | 0.7545 | 0.9356 | 0.8367 | 0.7309 | 0.7947 | 0.7851 | 0.9435 | 0.8553 | 0.7544 | 0.8320 | -2023-07-28 22:52:55,927 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 22:53:04,529 Epoch: [254][0/631] Time 5.617s (5.617s) Speed 5.7 samples/s Data 3.885s (3.885s) Loss 0.000540 (0.000540) Accuracy 0.883 (0.883) loss_pose: 0.000223 loss_cons: 0.000317 -2023-07-28 22:55:39,936 Epoch: [254][100/631] Time 1.537s (1.594s) Speed 20.8 samples/s Data 0.000s (0.039s) Loss 0.000578 (0.000566) Accuracy 0.878 (0.898) loss_pose: 0.000208 loss_cons: 0.000370 -2023-07-28 22:58:15,555 Epoch: [254][200/631] Time 1.521s (1.575s) Speed 21.0 samples/s Data 0.000s (0.020s) Loss 0.000545 (0.000569) Accuracy 0.913 (0.899) loss_pose: 0.000176 loss_cons: 0.000368 -2023-07-28 23:00:49,992 Epoch: [254][300/631] Time 1.506s (1.565s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000705 (0.000571) Accuracy 0.925 (0.898) loss_pose: 0.000175 loss_cons: 0.000530 -2023-07-28 23:03:23,966 Epoch: [254][400/631] Time 1.520s (1.559s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000652 (0.000572) Accuracy 0.903 (0.896) loss_pose: 0.000205 loss_cons: 0.000447 -2023-07-28 23:05:59,529 Epoch: [254][500/631] Time 1.513s (1.558s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000519 (0.000572) Accuracy 0.886 (0.896) loss_pose: 0.000206 loss_cons: 0.000313 -2023-07-28 23:08:33,005 Epoch: [254][600/631] Time 1.506s (1.554s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000653 (0.000571) Accuracy 0.921 (0.896) loss_pose: 0.000191 loss_cons: 0.000462 -2023-07-28 23:09:18,448 Epoch: [254][630/631] Time 1.506s (1.552s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000525 (0.000572) Accuracy 0.922 (0.896) loss_pose: 0.000165 loss_cons: 0.000359 -2023-07-28 23:09:26,080 Test: [0/199] Time 5.522 (5.522) Loss 0.0002 (0.0002) Accuracy 0.924 (0.924) -2023-07-28 23:09:46,578 Test: [100/199] Time 0.200 (0.258) Loss 0.0002 (0.0002) Accuracy 0.907 (0.880) -2023-07-28 23:10:05,375 Test: [198/199] Time 0.156 (0.226) Loss 0.0002 (0.0002) Accuracy 0.923 (0.878) -2023-07-28 23:10:09,510 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 23:10:17,324 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:10:17,360 The Predictions of Net 1 -2023-07-28 23:10:17,361 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:10:17,362 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:10:17,362 | 256x192_pose_dual_101_d256d256d256 | 0.7519 | 0.9356 | 0.8367 | 0.7251 | 0.7906 | 0.7794 | 0.9411 | 0.8525 | 0.7478 | 0.8276 | -2023-07-28 23:10:18,048 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 23:10:22,743 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:10:22,780 The Predictions of Net 2 -2023-07-28 23:10:22,781 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:10:22,781 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:10:22,781 | 256x192_pose_dual_101_d256d256d256 | 0.7497 | 0.9357 | 0.8354 | 0.7240 | 0.7910 | 0.7790 | 0.9403 | 0.8501 | 0.7464 | 0.8283 | -2023-07-28 23:10:23,472 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 23:10:28,181 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:10:28,214 Ensemble Predictions -2023-07-28 23:10:28,215 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:10:28,215 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:10:28,215 | 256x192_pose_dual_101_d256d256d256 | 0.7570 | 0.9360 | 0.8372 | 0.7323 | 0.7975 | 0.7868 | 0.9425 | 0.8564 | 0.7555 | 0.8343 | -2023-07-28 23:10:28,216 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 23:10:37,948 Epoch: [255][0/631] Time 5.736s (5.736s) Speed 5.6 samples/s Data 4.055s (4.055s) Loss 0.000526 (0.000526) Accuracy 0.911 (0.911) loss_pose: 0.000163 loss_cons: 0.000363 -2023-07-28 23:13:12,559 Epoch: [255][100/631] Time 1.515s (1.588s) Speed 21.1 samples/s Data 0.000s (0.041s) Loss 0.000601 (0.000580) Accuracy 0.929 (0.897) loss_pose: 0.000205 loss_cons: 0.000396 -2023-07-28 23:15:47,364 Epoch: [255][200/631] Time 1.512s (1.568s) Speed 21.2 samples/s Data 0.000s (0.021s) Loss 0.000544 (0.000574) Accuracy 0.883 (0.896) loss_pose: 0.000208 loss_cons: 0.000336 -2023-07-28 23:18:20,464 Epoch: [255][300/631] Time 1.607s (1.556s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000654 (0.000572) Accuracy 0.911 (0.897) loss_pose: 0.000199 loss_cons: 0.000455 -2023-07-28 23:20:54,916 Epoch: [255][400/631] Time 1.515s (1.553s) Speed 21.1 samples/s Data 0.001s (0.010s) Loss 0.000525 (0.000572) Accuracy 0.904 (0.895) loss_pose: 0.000178 loss_cons: 0.000347 -2023-07-28 23:23:29,006 Epoch: [255][500/631] Time 1.521s (1.550s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000587 (0.000571) Accuracy 0.881 (0.896) loss_pose: 0.000208 loss_cons: 0.000379 -2023-07-28 23:26:03,016 Epoch: [255][600/631] Time 1.515s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000595 (0.000572) Accuracy 0.932 (0.896) loss_pose: 0.000194 loss_cons: 0.000400 -2023-07-28 23:26:48,553 Epoch: [255][630/631] Time 1.522s (1.547s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000550 (0.000573) Accuracy 0.862 (0.896) loss_pose: 0.000186 loss_cons: 0.000364 -2023-07-28 23:26:55,756 Test: [0/199] Time 4.968 (4.968) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-28 23:27:16,345 Test: [100/199] Time 0.209 (0.255) Loss 0.0002 (0.0002) Accuracy 0.924 (0.879) -2023-07-28 23:27:35,108 Test: [198/199] Time 0.160 (0.224) Loss 0.0002 (0.0002) Accuracy 0.937 (0.877) -2023-07-28 23:27:37,144 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 23:27:46,920 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:27:46,963 The Predictions of Net 1 -2023-07-28 23:27:46,964 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:27:46,965 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:27:46,965 | 256x192_pose_dual_101_d256d256d256 | 0.7446 | 0.9257 | 0.8258 | 0.7213 | 0.7861 | 0.7760 | 0.9395 | 0.8482 | 0.7440 | 0.8243 | -2023-07-28 23:27:49,734 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 23:27:54,554 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:27:54,589 The Predictions of Net 2 -2023-07-28 23:27:54,590 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:27:54,590 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:27:54,591 | 256x192_pose_dual_101_d256d256d256 | 0.7493 | 0.9355 | 0.8265 | 0.7255 | 0.7857 | 0.7782 | 0.9400 | 0.8479 | 0.7478 | 0.8245 | -2023-07-28 23:27:55,279 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 23:27:59,993 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:28:00,031 Ensemble Predictions -2023-07-28 23:28:00,031 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:28:00,032 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:28:00,032 | 256x192_pose_dual_101_d256d256d256 | 0.7575 | 0.9359 | 0.8369 | 0.7315 | 0.7980 | 0.7861 | 0.9433 | 0.8556 | 0.7554 | 0.8330 | -2023-07-28 23:28:00,033 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 23:28:08,220 Epoch: [256][0/631] Time 5.211s (5.211s) Speed 6.1 samples/s Data 3.522s (3.522s) Loss 0.000513 (0.000513) Accuracy 0.888 (0.888) loss_pose: 0.000175 loss_cons: 0.000338 -2023-07-28 23:30:42,046 Epoch: [256][100/631] Time 1.525s (1.575s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000550 (0.000571) Accuracy 0.929 (0.897) loss_pose: 0.000185 loss_cons: 0.000365 -2023-07-28 23:33:17,048 Epoch: [256][200/631] Time 1.518s (1.562s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000570 (0.000569) Accuracy 0.917 (0.899) loss_pose: 0.000194 loss_cons: 0.000376 -2023-07-28 23:35:52,447 Epoch: [256][300/631] Time 1.523s (1.560s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000666 (0.000567) Accuracy 0.916 (0.900) loss_pose: 0.000204 loss_cons: 0.000462 -2023-07-28 23:38:29,852 Epoch: [256][400/631] Time 1.553s (1.563s) Speed 20.6 samples/s Data 0.000s (0.009s) Loss 0.000561 (0.000571) Accuracy 0.928 (0.900) loss_pose: 0.000180 loss_cons: 0.000381 -2023-07-28 23:41:08,766 Epoch: [256][500/631] Time 1.527s (1.568s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000597 (0.000573) Accuracy 0.873 (0.900) loss_pose: 0.000229 loss_cons: 0.000368 -2023-07-28 23:43:50,700 Epoch: [256][600/631] Time 1.595s (1.577s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000612 (0.000573) Accuracy 0.879 (0.899) loss_pose: 0.000202 loss_cons: 0.000410 -2023-07-28 23:44:38,778 Epoch: [256][630/631] Time 1.595s (1.578s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000673 (0.000574) Accuracy 0.900 (0.899) loss_pose: 0.000191 loss_cons: 0.000481 -2023-07-28 23:44:45,152 Test: [0/199] Time 4.068 (4.068) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-28 23:45:06,357 Test: [100/199] Time 0.200 (0.253) Loss 0.0002 (0.0002) Accuracy 0.894 (0.880) -2023-07-28 23:45:25,042 Test: [198/199] Time 0.137 (0.222) Loss 0.0002 (0.0002) Accuracy 0.946 (0.876) -2023-07-28 23:45:26,943 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-28 23:45:36,029 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:45:36,070 The Predictions of Net 1 -2023-07-28 23:45:36,071 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:45:36,072 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:45:36,072 | 256x192_pose_dual_101_d256d256d256 | 0.7444 | 0.9354 | 0.8251 | 0.7215 | 0.7872 | 0.7762 | 0.9419 | 0.8482 | 0.7442 | 0.8249 | -2023-07-28 23:45:36,771 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-28 23:45:41,623 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:45:41,660 The Predictions of Net 2 -2023-07-28 23:45:41,661 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:45:41,661 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:45:41,662 | 256x192_pose_dual_101_d256d256d256 | 0.7452 | 0.9258 | 0.8254 | 0.7182 | 0.7860 | 0.7765 | 0.9372 | 0.8490 | 0.7440 | 0.8255 | -2023-07-28 23:45:44,440 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-28 23:45:49,284 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-28 23:45:49,318 Ensemble Predictions -2023-07-28 23:45:49,319 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-28 23:45:49,320 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-28 23:45:49,320 | 256x192_pose_dual_101_d256d256d256 | 0.7541 | 0.9352 | 0.8353 | 0.7295 | 0.7943 | 0.7844 | 0.9414 | 0.8547 | 0.7528 | 0.8325 | -2023-07-28 23:45:49,321 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-28 23:45:58,554 Epoch: [257][0/631] Time 6.182s (6.182s) Speed 5.2 samples/s Data 4.499s (4.499s) Loss 0.000494 (0.000494) Accuracy 0.870 (0.870) loss_pose: 0.000194 loss_cons: 0.000301 -2023-07-28 23:48:38,375 Epoch: [257][100/631] Time 1.637s (1.644s) Speed 19.5 samples/s Data 0.000s (0.045s) Loss 0.000556 (0.000570) Accuracy 0.880 (0.895) loss_pose: 0.000237 loss_cons: 0.000320 -2023-07-28 23:51:13,103 Epoch: [257][200/631] Time 1.594s (1.596s) Speed 20.1 samples/s Data 0.000s (0.023s) Loss 0.000556 (0.000570) Accuracy 0.924 (0.898) loss_pose: 0.000186 loss_cons: 0.000369 -2023-07-28 23:53:46,842 Epoch: [257][300/631] Time 1.516s (1.576s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000612 (0.000572) Accuracy 0.920 (0.898) loss_pose: 0.000183 loss_cons: 0.000429 -2023-07-28 23:56:21,036 Epoch: [257][400/631] Time 1.526s (1.568s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000564 (0.000571) Accuracy 0.925 (0.898) loss_pose: 0.000172 loss_cons: 0.000392 -2023-07-28 23:58:55,080 Epoch: [257][500/631] Time 1.524s (1.562s) Speed 21.0 samples/s Data 0.001s (0.009s) Loss 0.000486 (0.000571) Accuracy 0.887 (0.898) loss_pose: 0.000209 loss_cons: 0.000277 -2023-07-29 00:01:31,026 Epoch: [257][600/631] Time 1.613s (1.562s) Speed 19.8 samples/s Data 0.000s (0.008s) Loss 0.000635 (0.000572) Accuracy 0.904 (0.897) loss_pose: 0.000209 loss_cons: 0.000427 -2023-07-29 00:02:18,491 Epoch: [257][630/631] Time 1.506s (1.563s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000581 (0.000571) Accuracy 0.905 (0.897) loss_pose: 0.000176 loss_cons: 0.000405 -2023-07-29 00:02:26,205 Test: [0/199] Time 5.555 (5.555) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-29 00:02:46,354 Test: [100/199] Time 0.206 (0.255) Loss 0.0002 (0.0002) Accuracy 0.905 (0.881) -2023-07-29 00:03:04,965 Test: [198/199] Time 0.141 (0.223) Loss 0.0002 (0.0002) Accuracy 0.935 (0.878) -2023-07-29 00:03:06,562 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 00:03:16,459 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:03:16,495 The Predictions of Net 1 -2023-07-29 00:03:16,497 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:03:16,497 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:03:16,497 | 256x192_pose_dual_101_d256d256d256 | 0.7451 | 0.9257 | 0.8252 | 0.7226 | 0.7846 | 0.7769 | 0.9397 | 0.8474 | 0.7461 | 0.8237 | -2023-07-29 00:03:17,200 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 00:03:21,999 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:03:22,036 The Predictions of Net 2 -2023-07-29 00:03:22,037 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:03:22,037 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:03:22,037 | 256x192_pose_dual_101_d256d256d256 | 0.7451 | 0.9258 | 0.8256 | 0.7242 | 0.7844 | 0.7768 | 0.9386 | 0.8489 | 0.7465 | 0.8231 | -2023-07-29 00:03:22,728 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 00:03:27,527 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:03:27,561 Ensemble Predictions -2023-07-29 00:03:27,561 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:03:27,562 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:03:27,562 | 256x192_pose_dual_101_d256d256d256 | 0.7559 | 0.9357 | 0.8370 | 0.7330 | 0.7960 | 0.7865 | 0.9416 | 0.8597 | 0.7559 | 0.8329 | -2023-07-29 00:03:27,563 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 00:03:37,936 Epoch: [258][0/631] Time 7.358s (7.358s) Speed 4.3 samples/s Data 5.723s (5.723s) Loss 0.000576 (0.000576) Accuracy 0.903 (0.903) loss_pose: 0.000186 loss_cons: 0.000390 -2023-07-29 00:06:13,380 Epoch: [258][100/631] Time 1.590s (1.612s) Speed 20.1 samples/s Data 0.000s (0.057s) Loss 0.000579 (0.000568) Accuracy 0.915 (0.897) loss_pose: 0.000191 loss_cons: 0.000388 -2023-07-29 00:08:47,687 Epoch: [258][200/631] Time 1.605s (1.578s) Speed 19.9 samples/s Data 0.000s (0.029s) Loss 0.000644 (0.000574) Accuracy 0.928 (0.895) loss_pose: 0.000188 loss_cons: 0.000455 -2023-07-29 00:11:22,943 Epoch: [258][300/631] Time 1.600s (1.569s) Speed 20.0 samples/s Data 0.000s (0.019s) Loss 0.000617 (0.000570) Accuracy 0.910 (0.896) loss_pose: 0.000189 loss_cons: 0.000428 -2023-07-29 00:13:57,392 Epoch: [258][400/631] Time 1.524s (1.563s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000648 (0.000571) Accuracy 0.913 (0.896) loss_pose: 0.000195 loss_cons: 0.000453 -2023-07-29 00:16:31,460 Epoch: [258][500/631] Time 1.532s (1.559s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000557 (0.000572) Accuracy 0.879 (0.896) loss_pose: 0.000213 loss_cons: 0.000344 -2023-07-29 00:19:04,625 Epoch: [258][600/631] Time 1.511s (1.554s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000546 (0.000573) Accuracy 0.924 (0.896) loss_pose: 0.000181 loss_cons: 0.000364 -2023-07-29 00:19:49,893 Epoch: [258][630/631] Time 1.501s (1.552s) Speed 21.3 samples/s Data 0.000s (0.009s) Loss 0.000641 (0.000572) Accuracy 0.875 (0.896) loss_pose: 0.000239 loss_cons: 0.000402 -2023-07-29 00:19:58,623 Test: [0/199] Time 6.394 (6.394) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-29 00:20:18,631 Test: [100/199] Time 0.235 (0.262) Loss 0.0002 (0.0002) Accuracy 0.909 (0.881) -2023-07-29 00:20:37,537 Test: [198/199] Time 0.136 (0.228) Loss 0.0002 (0.0002) Accuracy 0.927 (0.878) -2023-07-29 00:20:39,037 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 00:20:48,707 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:20:48,748 The Predictions of Net 1 -2023-07-29 00:20:48,749 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:20:48,750 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:20:48,750 | 256x192_pose_dual_101_d256d256d256 | 0.7478 | 0.9355 | 0.8252 | 0.7216 | 0.7905 | 0.7778 | 0.9405 | 0.8487 | 0.7448 | 0.8279 | -2023-07-29 00:20:49,446 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 00:20:54,156 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:20:54,190 The Predictions of Net 2 -2023-07-29 00:20:54,191 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:20:54,192 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:20:54,192 | 256x192_pose_dual_101_d256d256d256 | 0.7462 | 0.9256 | 0.8249 | 0.7214 | 0.7887 | 0.7780 | 0.9359 | 0.8500 | 0.7462 | 0.8266 | -2023-07-29 00:20:54,876 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 00:20:59,687 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:20:59,723 Ensemble Predictions -2023-07-29 00:20:59,723 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:20:59,724 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:20:59,724 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9359 | 0.8366 | 0.7307 | 0.8000 | 0.7871 | 0.9421 | 0.8575 | 0.7552 | 0.8357 | -2023-07-29 00:20:59,725 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 00:21:08,478 Epoch: [259][0/631] Time 5.745s (5.745s) Speed 5.6 samples/s Data 3.987s (3.987s) Loss 0.000524 (0.000524) Accuracy 0.868 (0.868) loss_pose: 0.000225 loss_cons: 0.000298 -2023-07-29 00:23:44,737 Epoch: [259][100/631] Time 1.525s (1.604s) Speed 21.0 samples/s Data 0.000s (0.040s) Loss 0.000719 (0.000584) Accuracy 0.830 (0.893) loss_pose: 0.000236 loss_cons: 0.000483 -2023-07-29 00:26:19,861 Epoch: [259][200/631] Time 1.609s (1.578s) Speed 19.9 samples/s Data 0.000s (0.020s) Loss 0.000641 (0.000655) Accuracy 0.894 (0.878) loss_pose: 0.000171 loss_cons: 0.000469 -2023-07-29 00:28:56,333 Epoch: [259][300/631] Time 1.628s (1.573s) Speed 19.7 samples/s Data 0.001s (0.014s) Loss 0.000575 (0.000645) Accuracy 0.913 (0.879) loss_pose: 0.000170 loss_cons: 0.000405 -2023-07-29 00:31:32,004 Epoch: [259][400/631] Time 1.516s (1.569s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000636 (0.000636) Accuracy 0.886 (0.880) loss_pose: 0.000203 loss_cons: 0.000433 -2023-07-29 00:34:07,076 Epoch: [259][500/631] Time 1.521s (1.566s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000567 (0.000627) Accuracy 0.929 (0.883) loss_pose: 0.000205 loss_cons: 0.000362 -2023-07-29 00:36:41,344 Epoch: [259][600/631] Time 1.597s (1.562s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000638 (0.000622) Accuracy 0.896 (0.884) loss_pose: 0.000193 loss_cons: 0.000445 -2023-07-29 00:37:27,482 Epoch: [259][630/631] Time 1.509s (1.561s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000616 (0.000621) Accuracy 0.895 (0.884) loss_pose: 0.000170 loss_cons: 0.000446 -2023-07-29 00:37:35,559 Test: [0/199] Time 5.901 (5.901) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 00:37:55,674 Test: [100/199] Time 0.206 (0.258) Loss 0.0002 (0.0002) Accuracy 0.899 (0.875) -2023-07-29 00:38:14,525 Test: [198/199] Time 0.146 (0.226) Loss 0.0002 (0.0002) Accuracy 0.918 (0.873) -2023-07-29 00:38:15,814 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 00:38:27,475 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:38:27,515 The Predictions of Net 1 -2023-07-29 00:38:27,516 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:38:27,516 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:38:27,516 | 256x192_pose_dual_101_d256d256d256 | 0.7393 | 0.9261 | 0.8245 | 0.7157 | 0.7798 | 0.7710 | 0.9389 | 0.8408 | 0.7389 | 0.8197 | -2023-07-29 00:38:28,219 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 00:38:32,986 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:38:33,021 The Predictions of Net 2 -2023-07-29 00:38:33,022 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:38:33,023 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:38:33,023 | 256x192_pose_dual_101_d256d256d256 | 0.7497 | 0.9354 | 0.8353 | 0.7258 | 0.7890 | 0.7785 | 0.9400 | 0.8514 | 0.7482 | 0.8252 | -2023-07-29 00:38:33,711 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 00:38:38,511 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:38:38,548 Ensemble Predictions -2023-07-29 00:38:38,549 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:38:38,550 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:38:38,550 | 256x192_pose_dual_101_d256d256d256 | 0.7551 | 0.9361 | 0.8368 | 0.7281 | 0.7959 | 0.7840 | 0.9433 | 0.8553 | 0.7523 | 0.8326 | -2023-07-29 00:38:38,551 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 00:38:47,741 Epoch: [260][0/631] Time 6.296s (6.296s) Speed 5.1 samples/s Data 4.602s (4.602s) Loss 0.000527 (0.000527) Accuracy 0.915 (0.915) loss_pose: 0.000169 loss_cons: 0.000358 -2023-07-29 00:41:22,380 Epoch: [260][100/631] Time 1.532s (1.593s) Speed 20.9 samples/s Data 0.000s (0.046s) Loss 0.000550 (0.000588) Accuracy 0.909 (0.887) loss_pose: 0.000180 loss_cons: 0.000370 -2023-07-29 00:43:57,107 Epoch: [260][200/631] Time 1.610s (1.570s) Speed 19.9 samples/s Data 0.000s (0.023s) Loss 0.000675 (0.000590) Accuracy 0.897 (0.890) loss_pose: 0.000199 loss_cons: 0.000476 -2023-07-29 00:46:31,667 Epoch: [260][300/631] Time 1.602s (1.562s) Speed 20.0 samples/s Data 0.000s (0.016s) Loss 0.000579 (0.000586) Accuracy 0.906 (0.891) loss_pose: 0.000192 loss_cons: 0.000386 -2023-07-29 00:49:06,191 Epoch: [260][400/631] Time 1.518s (1.558s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000576 (0.000584) Accuracy 0.924 (0.893) loss_pose: 0.000175 loss_cons: 0.000402 -2023-07-29 00:51:39,266 Epoch: [260][500/631] Time 1.567s (1.553s) Speed 20.4 samples/s Data 0.000s (0.010s) Loss 0.000651 (0.000584) Accuracy 0.862 (0.893) loss_pose: 0.000197 loss_cons: 0.000454 -2023-07-29 00:54:12,572 Epoch: [260][600/631] Time 1.506s (1.549s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000530 (0.000584) Accuracy 0.920 (0.893) loss_pose: 0.000180 loss_cons: 0.000351 -2023-07-29 00:54:58,417 Epoch: [260][630/631] Time 1.594s (1.548s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000513 (0.000583) Accuracy 0.921 (0.893) loss_pose: 0.000188 loss_cons: 0.000325 -2023-07-29 00:55:06,609 Test: [0/199] Time 6.218 (6.218) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 00:55:26,813 Test: [100/199] Time 0.204 (0.262) Loss 0.0002 (0.0002) Accuracy 0.914 (0.877) -2023-07-29 00:55:45,946 Test: [198/199] Time 0.159 (0.229) Loss 0.0002 (0.0002) Accuracy 0.927 (0.875) -2023-07-29 00:55:47,115 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 00:55:56,633 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:55:56,675 The Predictions of Net 1 -2023-07-29 00:55:56,676 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:55:56,676 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:55:56,676 | 256x192_pose_dual_101_d256d256d256 | 0.7439 | 0.9258 | 0.8241 | 0.7174 | 0.7847 | 0.7739 | 0.9395 | 0.8410 | 0.7421 | 0.8223 | -2023-07-29 00:55:57,371 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 00:56:04,893 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:56:04,931 The Predictions of Net 2 -2023-07-29 00:56:04,931 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:56:04,932 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:56:04,932 | 256x192_pose_dual_101_d256d256d256 | 0.7472 | 0.9354 | 0.8249 | 0.7219 | 0.7891 | 0.7784 | 0.9400 | 0.8471 | 0.7460 | 0.8275 | -2023-07-29 00:56:05,619 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 00:56:10,433 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 00:56:10,466 Ensemble Predictions -2023-07-29 00:56:10,467 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 00:56:10,468 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 00:56:10,468 | 256x192_pose_dual_101_d256d256d256 | 0.7558 | 0.9360 | 0.8365 | 0.7286 | 0.7980 | 0.7852 | 0.9429 | 0.8547 | 0.7530 | 0.8340 | -2023-07-29 00:56:10,469 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 00:56:19,652 Epoch: [261][0/631] Time 6.181s (6.181s) Speed 5.2 samples/s Data 4.508s (4.508s) Loss 0.000559 (0.000559) Accuracy 0.908 (0.908) loss_pose: 0.000210 loss_cons: 0.000348 -2023-07-29 00:58:54,978 Epoch: [261][100/631] Time 1.582s (1.599s) Speed 20.2 samples/s Data 0.000s (0.045s) Loss 0.000499 (0.000567) Accuracy 0.868 (0.898) loss_pose: 0.000201 loss_cons: 0.000299 -2023-07-29 01:01:29,815 Epoch: [261][200/631] Time 1.527s (1.574s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000609 (0.000571) Accuracy 0.882 (0.896) loss_pose: 0.000222 loss_cons: 0.000386 -2023-07-29 01:04:04,517 Epoch: [261][300/631] Time 1.605s (1.565s) Speed 19.9 samples/s Data 0.000s (0.015s) Loss 0.000637 (0.000572) Accuracy 0.917 (0.897) loss_pose: 0.000197 loss_cons: 0.000440 -2023-07-29 01:06:39,991 Epoch: [261][400/631] Time 1.517s (1.562s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000583 (0.000571) Accuracy 0.892 (0.897) loss_pose: 0.000205 loss_cons: 0.000379 -2023-07-29 01:09:13,952 Epoch: [261][500/631] Time 1.519s (1.558s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000555 (0.000572) Accuracy 0.916 (0.897) loss_pose: 0.000187 loss_cons: 0.000368 -2023-07-29 01:11:49,820 Epoch: [261][600/631] Time 1.506s (1.558s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000589 (0.000571) Accuracy 0.864 (0.897) loss_pose: 0.000209 loss_cons: 0.000380 -2023-07-29 01:12:35,215 Epoch: [261][630/631] Time 1.508s (1.556s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000558 (0.000572) Accuracy 0.889 (0.897) loss_pose: 0.000214 loss_cons: 0.000344 -2023-07-29 01:12:42,797 Test: [0/199] Time 5.259 (5.259) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-29 01:13:03,657 Test: [100/199] Time 0.196 (0.259) Loss 0.0002 (0.0002) Accuracy 0.918 (0.879) -2023-07-29 01:13:22,748 Test: [198/199] Time 0.246 (0.228) Loss 0.0002 (0.0002) Accuracy 0.942 (0.877) -2023-07-29 01:13:23,836 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 01:13:33,412 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:13:33,451 The Predictions of Net 1 -2023-07-29 01:13:33,452 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:13:33,452 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:13:33,452 | 256x192_pose_dual_101_d256d256d256 | 0.7472 | 0.9351 | 0.8250 | 0.7208 | 0.7893 | 0.7775 | 0.9408 | 0.8463 | 0.7441 | 0.8280 | -2023-07-29 01:13:34,159 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 01:13:39,005 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:13:39,047 The Predictions of Net 2 -2023-07-29 01:13:39,048 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:13:39,048 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:13:39,048 | 256x192_pose_dual_101_d256d256d256 | 0.7478 | 0.9256 | 0.8250 | 0.7225 | 0.7897 | 0.7784 | 0.9391 | 0.8474 | 0.7463 | 0.8273 | -2023-07-29 01:13:39,736 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 01:13:46,635 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:13:46,671 Ensemble Predictions -2023-07-29 01:13:46,672 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:13:46,672 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:13:46,672 | 256x192_pose_dual_101_d256d256d256 | 0.7568 | 0.9356 | 0.8360 | 0.7311 | 0.8007 | 0.7868 | 0.9432 | 0.8558 | 0.7544 | 0.8363 | -2023-07-29 01:13:46,673 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 01:13:54,882 Epoch: [262][0/631] Time 5.340s (5.340s) Speed 6.0 samples/s Data 3.638s (3.638s) Loss 0.000546 (0.000546) Accuracy 0.881 (0.881) loss_pose: 0.000200 loss_cons: 0.000346 -2023-07-29 01:16:29,731 Epoch: [262][100/631] Time 1.522s (1.586s) Speed 21.0 samples/s Data 0.000s (0.036s) Loss 0.000495 (0.000579) Accuracy 0.884 (0.897) loss_pose: 0.000199 loss_cons: 0.000296 -2023-07-29 01:19:03,707 Epoch: [262][200/631] Time 1.619s (1.563s) Speed 19.8 samples/s Data 0.000s (0.019s) Loss 0.000548 (0.000580) Accuracy 0.896 (0.896) loss_pose: 0.000216 loss_cons: 0.000332 -2023-07-29 01:21:38,120 Epoch: [262][300/631] Time 1.514s (1.557s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000604 (0.000581) Accuracy 0.892 (0.897) loss_pose: 0.000194 loss_cons: 0.000411 -2023-07-29 01:24:11,598 Epoch: [262][400/631] Time 1.517s (1.551s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000538 (0.000580) Accuracy 0.943 (0.897) loss_pose: 0.000168 loss_cons: 0.000370 -2023-07-29 01:26:45,605 Epoch: [262][500/631] Time 1.531s (1.549s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000469 (0.000579) Accuracy 0.900 (0.897) loss_pose: 0.000172 loss_cons: 0.000297 -2023-07-29 01:29:20,441 Epoch: [262][600/631] Time 1.609s (1.549s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000543 (0.000578) Accuracy 0.943 (0.898) loss_pose: 0.000170 loss_cons: 0.000373 -2023-07-29 01:30:08,701 Epoch: [262][630/631] Time 1.626s (1.552s) Speed 19.7 samples/s Data 0.000s (0.006s) Loss 0.000536 (0.000578) Accuracy 0.905 (0.898) loss_pose: 0.000179 loss_cons: 0.000357 -2023-07-29 01:30:15,573 Test: [0/199] Time 4.581 (4.581) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-29 01:30:36,744 Test: [100/199] Time 0.198 (0.256) Loss 0.0002 (0.0002) Accuracy 0.917 (0.879) -2023-07-29 01:30:55,318 Test: [198/199] Time 0.142 (0.224) Loss 0.0002 (0.0002) Accuracy 0.934 (0.876) -2023-07-29 01:30:57,120 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 01:31:06,410 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:31:06,446 The Predictions of Net 1 -2023-07-29 01:31:06,448 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:31:06,448 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:31:06,448 | 256x192_pose_dual_101_d256d256d256 | 0.7467 | 0.9358 | 0.8256 | 0.7212 | 0.7864 | 0.7773 | 0.9406 | 0.8476 | 0.7454 | 0.8253 | -2023-07-29 01:31:07,145 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 01:31:11,949 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:31:11,984 The Predictions of Net 2 -2023-07-29 01:31:11,985 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:31:11,985 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:31:11,986 | 256x192_pose_dual_101_d256d256d256 | 0.7486 | 0.9261 | 0.8348 | 0.7217 | 0.7928 | 0.7787 | 0.9375 | 0.8501 | 0.7455 | 0.8291 | -2023-07-29 01:31:12,676 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 01:31:17,433 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:31:17,467 Ensemble Predictions -2023-07-29 01:31:17,468 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:31:17,468 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:31:17,468 | 256x192_pose_dual_101_d256d256d256 | 0.7572 | 0.9360 | 0.8361 | 0.7305 | 0.8002 | 0.7869 | 0.9427 | 0.8555 | 0.7546 | 0.8357 | -2023-07-29 01:31:17,469 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 01:31:26,174 Epoch: [263][0/631] Time 5.703s (5.703s) Speed 5.6 samples/s Data 4.012s (4.012s) Loss 0.000576 (0.000576) Accuracy 0.856 (0.856) loss_pose: 0.000223 loss_cons: 0.000353 -2023-07-29 01:34:01,266 Epoch: [263][100/631] Time 1.536s (1.592s) Speed 20.8 samples/s Data 0.000s (0.040s) Loss 0.000502 (0.000567) Accuracy 0.880 (0.900) loss_pose: 0.000207 loss_cons: 0.000295 -2023-07-29 01:36:35,330 Epoch: [263][200/631] Time 1.570s (1.566s) Speed 20.4 samples/s Data 0.000s (0.020s) Loss 0.000546 (0.000565) Accuracy 0.905 (0.899) loss_pose: 0.000201 loss_cons: 0.000345 -2023-07-29 01:39:09,879 Epoch: [263][300/631] Time 1.519s (1.559s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000637 (0.000564) Accuracy 0.912 (0.900) loss_pose: 0.000181 loss_cons: 0.000456 -2023-07-29 01:41:44,462 Epoch: [263][400/631] Time 1.620s (1.556s) Speed 19.8 samples/s Data 0.000s (0.010s) Loss 0.000591 (0.000566) Accuracy 0.864 (0.900) loss_pose: 0.000198 loss_cons: 0.000393 -2023-07-29 01:44:18,680 Epoch: [263][500/631] Time 1.591s (1.553s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000531 (0.000568) Accuracy 0.871 (0.900) loss_pose: 0.000218 loss_cons: 0.000313 -2023-07-29 01:46:52,607 Epoch: [263][600/631] Time 1.516s (1.551s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000646 (0.000570) Accuracy 0.893 (0.900) loss_pose: 0.000217 loss_cons: 0.000429 -2023-07-29 01:47:38,020 Epoch: [263][630/631] Time 1.510s (1.549s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000529 (0.000571) Accuracy 0.890 (0.900) loss_pose: 0.000208 loss_cons: 0.000321 -2023-07-29 01:47:46,084 Test: [0/199] Time 5.821 (5.821) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-29 01:48:06,192 Test: [100/199] Time 0.204 (0.257) Loss 0.0002 (0.0002) Accuracy 0.917 (0.880) -2023-07-29 01:48:24,871 Test: [198/199] Time 0.149 (0.224) Loss 0.0002 (0.0002) Accuracy 0.913 (0.876) -2023-07-29 01:48:29,805 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 01:48:38,812 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:48:38,847 The Predictions of Net 1 -2023-07-29 01:48:38,847 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:48:38,849 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:48:38,849 | 256x192_pose_dual_101_d256d256d256 | 0.7483 | 0.9260 | 0.8348 | 0.7241 | 0.7864 | 0.7776 | 0.9378 | 0.8503 | 0.7463 | 0.8255 | -2023-07-29 01:48:39,541 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 01:48:44,399 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:48:44,439 The Predictions of Net 2 -2023-07-29 01:48:44,440 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:48:44,440 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:48:44,440 | 256x192_pose_dual_101_d256d256d256 | 0.7505 | 0.9355 | 0.8259 | 0.7254 | 0.7880 | 0.7792 | 0.9406 | 0.8482 | 0.7483 | 0.8265 | -2023-07-29 01:48:45,129 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 01:48:49,873 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 01:48:49,908 Ensemble Predictions -2023-07-29 01:48:49,909 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 01:48:49,909 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 01:48:49,910 | 256x192_pose_dual_101_d256d256d256 | 0.7570 | 0.9360 | 0.8375 | 0.7327 | 0.8003 | 0.7868 | 0.9435 | 0.8577 | 0.7556 | 0.8348 | -2023-07-29 01:48:49,911 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 01:48:58,431 Epoch: [264][0/631] Time 5.494s (5.494s) Speed 5.8 samples/s Data 3.786s (3.786s) Loss 0.000502 (0.000502) Accuracy 0.933 (0.933) loss_pose: 0.000183 loss_cons: 0.000318 -2023-07-29 01:51:33,816 Epoch: [264][100/631] Time 1.523s (1.593s) Speed 21.0 samples/s Data 0.000s (0.038s) Loss 0.000539 (0.000566) Accuracy 0.920 (0.897) loss_pose: 0.000180 loss_cons: 0.000359 -2023-07-29 01:54:08,766 Epoch: [264][200/631] Time 1.609s (1.571s) Speed 19.9 samples/s Data 0.000s (0.019s) Loss 0.000538 (0.000567) Accuracy 0.923 (0.899) loss_pose: 0.000167 loss_cons: 0.000372 -2023-07-29 01:56:44,687 Epoch: [264][300/631] Time 1.672s (1.567s) Speed 19.1 samples/s Data 0.000s (0.013s) Loss 0.000653 (0.000567) Accuracy 0.891 (0.898) loss_pose: 0.000205 loss_cons: 0.000448 -2023-07-29 01:59:20,608 Epoch: [264][400/631] Time 1.596s (1.565s) Speed 20.0 samples/s Data 0.000s (0.010s) Loss 0.000614 (0.000571) Accuracy 0.896 (0.897) loss_pose: 0.000215 loss_cons: 0.000399 -2023-07-29 02:01:54,755 Epoch: [264][500/631] Time 1.523s (1.561s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000621 (0.000571) Accuracy 0.918 (0.897) loss_pose: 0.000196 loss_cons: 0.000425 -2023-07-29 02:04:29,827 Epoch: [264][600/631] Time 1.606s (1.559s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000614 (0.000571) Accuracy 0.876 (0.897) loss_pose: 0.000243 loss_cons: 0.000370 -2023-07-29 02:05:15,486 Epoch: [264][630/631] Time 1.584s (1.557s) Speed 20.2 samples/s Data 0.000s (0.006s) Loss 0.000578 (0.000571) Accuracy 0.918 (0.898) loss_pose: 0.000181 loss_cons: 0.000397 -2023-07-29 02:05:23,140 Test: [0/199] Time 5.786 (5.786) Loss 0.0002 (0.0002) Accuracy 0.902 (0.902) -2023-07-29 02:05:43,509 Test: [100/199] Time 0.204 (0.259) Loss 0.0002 (0.0002) Accuracy 0.910 (0.882) -2023-07-29 02:06:02,280 Test: [198/199] Time 0.202 (0.226) Loss 0.0002 (0.0002) Accuracy 0.914 (0.877) -2023-07-29 02:06:03,633 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 02:06:13,518 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:06:13,556 The Predictions of Net 1 -2023-07-29 02:06:13,556 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:06:13,557 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:06:13,558 | 256x192_pose_dual_101_d256d256d256 | 0.7472 | 0.9262 | 0.8253 | 0.7210 | 0.7924 | 0.7776 | 0.9388 | 0.8456 | 0.7442 | 0.8282 | -2023-07-29 02:06:16,321 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 02:06:21,052 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:06:21,087 The Predictions of Net 2 -2023-07-29 02:06:21,087 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:06:21,088 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:06:21,088 | 256x192_pose_dual_101_d256d256d256 | 0.7499 | 0.9350 | 0.8345 | 0.7253 | 0.7902 | 0.7796 | 0.9400 | 0.8503 | 0.7477 | 0.8281 | -2023-07-29 02:06:21,776 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 02:06:26,551 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:06:26,587 Ensemble Predictions -2023-07-29 02:06:26,588 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:06:26,588 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:06:26,588 | 256x192_pose_dual_101_d256d256d256 | 0.7589 | 0.9355 | 0.8370 | 0.7322 | 0.8010 | 0.7877 | 0.9425 | 0.8563 | 0.7555 | 0.8365 | -2023-07-29 02:06:26,589 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 02:06:35,665 Epoch: [265][0/631] Time 6.184s (6.184s) Speed 5.2 samples/s Data 4.517s (4.517s) Loss 0.000530 (0.000530) Accuracy 0.932 (0.932) loss_pose: 0.000180 loss_cons: 0.000350 -2023-07-29 02:09:10,086 Epoch: [265][100/631] Time 1.529s (1.590s) Speed 20.9 samples/s Data 0.000s (0.045s) Loss 0.000463 (0.000568) Accuracy 0.913 (0.900) loss_pose: 0.000151 loss_cons: 0.000312 -2023-07-29 02:11:44,578 Epoch: [265][200/631] Time 1.514s (1.568s) Speed 21.1 samples/s Data 0.000s (0.023s) Loss 0.000599 (0.000567) Accuracy 0.910 (0.899) loss_pose: 0.000217 loss_cons: 0.000381 -2023-07-29 02:14:18,784 Epoch: [265][300/631] Time 1.529s (1.559s) Speed 20.9 samples/s Data 0.000s (0.015s) Loss 0.000661 (0.000568) Accuracy 0.884 (0.898) loss_pose: 0.000216 loss_cons: 0.000445 -2023-07-29 02:16:55,992 Epoch: [265][400/631] Time 1.518s (1.562s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000613 (0.000569) Accuracy 0.895 (0.898) loss_pose: 0.000197 loss_cons: 0.000416 -2023-07-29 02:19:37,163 Epoch: [265][500/631] Time 1.516s (1.572s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000472 (0.000570) Accuracy 0.927 (0.897) loss_pose: 0.000162 loss_cons: 0.000310 -2023-07-29 02:22:13,370 Epoch: [265][600/631] Time 1.507s (1.571s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000544 (0.000571) Accuracy 0.928 (0.897) loss_pose: 0.000185 loss_cons: 0.000359 -2023-07-29 02:22:59,292 Epoch: [265][630/631] Time 1.513s (1.569s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000524 (0.000571) Accuracy 0.908 (0.897) loss_pose: 0.000178 loss_cons: 0.000346 -2023-07-29 02:23:07,332 Test: [0/199] Time 5.975 (5.975) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-29 02:23:27,431 Test: [100/199] Time 0.203 (0.258) Loss 0.0002 (0.0002) Accuracy 0.910 (0.879) -2023-07-29 02:23:46,108 Test: [198/199] Time 0.141 (0.225) Loss 0.0002 (0.0002) Accuracy 0.904 (0.876) -2023-07-29 02:23:47,765 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 02:23:57,630 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:23:57,671 The Predictions of Net 1 -2023-07-29 02:23:57,671 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:23:57,671 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:23:57,672 | 256x192_pose_dual_101_d256d256d256 | 0.7446 | 0.9257 | 0.8255 | 0.7217 | 0.7865 | 0.7763 | 0.9381 | 0.8452 | 0.7437 | 0.8257 | -2023-07-29 02:23:58,363 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 02:24:03,166 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:24:03,202 The Predictions of Net 2 -2023-07-29 02:24:03,202 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:24:03,202 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:24:03,203 | 256x192_pose_dual_101_d256d256d256 | 0.7492 | 0.9259 | 0.8350 | 0.7265 | 0.7902 | 0.7793 | 0.9380 | 0.8503 | 0.7481 | 0.8265 | -2023-07-29 02:24:06,125 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 02:24:10,848 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:24:10,884 Ensemble Predictions -2023-07-29 02:24:10,884 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:24:10,885 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:24:10,885 | 256x192_pose_dual_101_d256d256d256 | 0.7567 | 0.9357 | 0.8371 | 0.7316 | 0.7978 | 0.7860 | 0.9410 | 0.8567 | 0.7541 | 0.8343 | -2023-07-29 02:24:10,886 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 02:24:20,063 Epoch: [266][0/631] Time 6.255s (6.255s) Speed 5.1 samples/s Data 4.617s (4.617s) Loss 0.000556 (0.000556) Accuracy 0.933 (0.933) loss_pose: 0.000196 loss_cons: 0.000359 -2023-07-29 02:27:00,592 Epoch: [266][100/631] Time 1.602s (1.651s) Speed 20.0 samples/s Data 0.000s (0.046s) Loss 0.000637 (0.000552) Accuracy 0.867 (0.902) loss_pose: 0.000231 loss_cons: 0.000406 -2023-07-29 02:29:34,276 Epoch: [266][200/631] Time 1.520s (1.594s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000502 (0.000562) Accuracy 0.866 (0.899) loss_pose: 0.000201 loss_cons: 0.000301 -2023-07-29 02:32:07,922 Epoch: [266][300/631] Time 1.519s (1.575s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000638 (0.000563) Accuracy 0.893 (0.898) loss_pose: 0.000209 loss_cons: 0.000429 -2023-07-29 02:34:41,591 Epoch: [266][400/631] Time 1.524s (1.566s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000622 (0.000567) Accuracy 0.917 (0.898) loss_pose: 0.000181 loss_cons: 0.000441 -2023-07-29 02:37:15,140 Epoch: [266][500/631] Time 1.515s (1.560s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000474 (0.000569) Accuracy 0.912 (0.897) loss_pose: 0.000184 loss_cons: 0.000290 -2023-07-29 02:39:48,413 Epoch: [266][600/631] Time 1.514s (1.555s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000551 (0.000569) Accuracy 0.915 (0.897) loss_pose: 0.000196 loss_cons: 0.000355 -2023-07-29 02:40:33,883 Epoch: [266][630/631] Time 1.511s (1.553s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000532 (0.000570) Accuracy 0.926 (0.897) loss_pose: 0.000185 loss_cons: 0.000348 -2023-07-29 02:40:41,285 Test: [0/199] Time 5.140 (5.140) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-29 02:41:01,642 Test: [100/199] Time 0.197 (0.255) Loss 0.0002 (0.0002) Accuracy 0.906 (0.881) -2023-07-29 02:41:20,404 Test: [198/199] Time 0.137 (0.224) Loss 0.0002 (0.0002) Accuracy 0.917 (0.878) -2023-07-29 02:41:22,126 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 02:41:31,266 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:41:31,308 The Predictions of Net 1 -2023-07-29 02:41:31,310 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:41:31,310 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:41:31,310 | 256x192_pose_dual_101_d256d256d256 | 0.7468 | 0.9260 | 0.8254 | 0.7232 | 0.7899 | 0.7777 | 0.9383 | 0.8471 | 0.7452 | 0.8271 | -2023-07-29 02:41:32,015 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 02:41:36,868 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:41:36,907 The Predictions of Net 2 -2023-07-29 02:41:36,910 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:41:36,911 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:41:36,911 | 256x192_pose_dual_101_d256d256d256 | 0.7487 | 0.9352 | 0.8250 | 0.7244 | 0.7915 | 0.7796 | 0.9424 | 0.8478 | 0.7477 | 0.8281 | -2023-07-29 02:41:37,600 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 02:41:42,344 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:41:42,378 Ensemble Predictions -2023-07-29 02:41:42,379 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:41:42,379 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:41:42,380 | 256x192_pose_dual_101_d256d256d256 | 0.7577 | 0.9358 | 0.8379 | 0.7342 | 0.8000 | 0.7877 | 0.9416 | 0.8596 | 0.7563 | 0.8355 | -2023-07-29 02:41:42,380 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 02:41:51,687 Epoch: [267][0/631] Time 6.302s (6.302s) Speed 5.1 samples/s Data 4.628s (4.628s) Loss 0.000592 (0.000592) Accuracy 0.889 (0.889) loss_pose: 0.000190 loss_cons: 0.000402 -2023-07-29 02:44:26,707 Epoch: [267][100/631] Time 1.512s (1.597s) Speed 21.2 samples/s Data 0.000s (0.046s) Loss 0.000524 (0.000569) Accuracy 0.936 (0.896) loss_pose: 0.000171 loss_cons: 0.000352 -2023-07-29 02:47:02,876 Epoch: [267][200/631] Time 1.529s (1.580s) Speed 20.9 samples/s Data 0.000s (0.023s) Loss 0.000595 (0.000571) Accuracy 0.877 (0.896) loss_pose: 0.000183 loss_cons: 0.000412 -2023-07-29 02:49:36,606 Epoch: [267][300/631] Time 1.611s (1.566s) Speed 19.9 samples/s Data 0.000s (0.016s) Loss 0.000604 (0.000570) Accuracy 0.880 (0.896) loss_pose: 0.000185 loss_cons: 0.000419 -2023-07-29 02:52:11,196 Epoch: [267][400/631] Time 1.538s (1.561s) Speed 20.8 samples/s Data 0.000s (0.012s) Loss 0.000619 (0.000573) Accuracy 0.904 (0.897) loss_pose: 0.000204 loss_cons: 0.000416 -2023-07-29 02:54:45,087 Epoch: [267][500/631] Time 1.533s (1.556s) Speed 20.9 samples/s Data 0.000s (0.010s) Loss 0.000566 (0.000571) Accuracy 0.891 (0.897) loss_pose: 0.000190 loss_cons: 0.000376 -2023-07-29 02:57:19,473 Epoch: [267][600/631] Time 1.521s (1.554s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000616 (0.000572) Accuracy 0.891 (0.898) loss_pose: 0.000185 loss_cons: 0.000431 -2023-07-29 02:58:06,722 Epoch: [267][630/631] Time 1.502s (1.555s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000576 (0.000571) Accuracy 0.891 (0.898) loss_pose: 0.000202 loss_cons: 0.000374 -2023-07-29 02:58:14,475 Test: [0/199] Time 5.633 (5.633) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-29 02:58:34,555 Test: [100/199] Time 0.198 (0.255) Loss 0.0002 (0.0002) Accuracy 0.919 (0.882) -2023-07-29 02:58:53,365 Test: [198/199] Time 0.220 (0.224) Loss 0.0002 (0.0002) Accuracy 0.917 (0.879) -2023-07-29 02:58:54,806 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 02:59:04,312 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:59:04,347 The Predictions of Net 1 -2023-07-29 02:59:04,348 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:59:04,348 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:59:04,348 | 256x192_pose_dual_101_d256d256d256 | 0.7494 | 0.9356 | 0.8358 | 0.7240 | 0.7910 | 0.7794 | 0.9410 | 0.8528 | 0.7465 | 0.8289 | -2023-07-29 02:59:05,038 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 02:59:09,826 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:59:09,864 The Predictions of Net 2 -2023-07-29 02:59:09,864 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:59:09,865 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:59:09,866 | 256x192_pose_dual_101_d256d256d256 | 0.7516 | 0.9354 | 0.8354 | 0.7256 | 0.7928 | 0.7807 | 0.9406 | 0.8525 | 0.7496 | 0.8282 | -2023-07-29 02:59:10,552 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 02:59:15,323 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 02:59:15,358 Ensemble Predictions -2023-07-29 02:59:15,358 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 02:59:15,359 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 02:59:15,359 | 256x192_pose_dual_101_d256d256d256 | 0.7624 | 0.9360 | 0.8470 | 0.7351 | 0.8022 | 0.7898 | 0.9435 | 0.8624 | 0.7581 | 0.8378 | -2023-07-29 02:59:15,360 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 02:59:24,137 Epoch: [268][0/631] Time 5.742s (5.742s) Speed 5.6 samples/s Data 4.061s (4.061s) Loss 0.000488 (0.000488) Accuracy 0.883 (0.883) loss_pose: 0.000187 loss_cons: 0.000301 -2023-07-29 03:01:59,325 Epoch: [268][100/631] Time 1.525s (1.593s) Speed 21.0 samples/s Data 0.000s (0.041s) Loss 0.000516 (0.000571) Accuracy 0.892 (0.893) loss_pose: 0.000177 loss_cons: 0.000339 -2023-07-29 03:04:34,389 Epoch: [268][200/631] Time 1.527s (1.572s) Speed 21.0 samples/s Data 0.001s (0.021s) Loss 0.000481 (0.000574) Accuracy 0.933 (0.896) loss_pose: 0.000160 loss_cons: 0.000320 -2023-07-29 03:07:07,698 Epoch: [268][300/631] Time 1.516s (1.559s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000752 (0.000573) Accuracy 0.853 (0.897) loss_pose: 0.000226 loss_cons: 0.000526 -2023-07-29 03:09:42,571 Epoch: [268][400/631] Time 1.619s (1.557s) Speed 19.8 samples/s Data 0.000s (0.010s) Loss 0.000536 (0.000572) Accuracy 0.836 (0.896) loss_pose: 0.000203 loss_cons: 0.000333 -2023-07-29 03:12:17,130 Epoch: [268][500/631] Time 1.606s (1.554s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000545 (0.000570) Accuracy 0.879 (0.896) loss_pose: 0.000197 loss_cons: 0.000348 -2023-07-29 03:14:52,559 Epoch: [268][600/631] Time 1.608s (1.554s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000580 (0.000571) Accuracy 0.900 (0.896) loss_pose: 0.000208 loss_cons: 0.000372 -2023-07-29 03:15:40,145 Epoch: [268][630/631] Time 1.618s (1.556s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000689 (0.000572) Accuracy 0.864 (0.896) loss_pose: 0.000239 loss_cons: 0.000450 -2023-07-29 03:15:47,019 Test: [0/199] Time 4.785 (4.785) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-29 03:16:07,803 Test: [100/199] Time 0.199 (0.254) Loss 0.0002 (0.0002) Accuracy 0.922 (0.881) -2023-07-29 03:16:26,402 Test: [198/199] Time 0.136 (0.222) Loss 0.0002 (0.0002) Accuracy 0.929 (0.878) -2023-07-29 03:16:28,302 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 03:16:39,302 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:16:39,340 The Predictions of Net 1 -2023-07-29 03:16:39,340 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:16:39,341 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:16:39,342 | 256x192_pose_dual_101_d256d256d256 | 0.7466 | 0.9262 | 0.8260 | 0.7239 | 0.7867 | 0.7773 | 0.9394 | 0.8497 | 0.7464 | 0.8242 | -2023-07-29 03:16:40,031 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 03:16:44,808 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:16:44,842 The Predictions of Net 2 -2023-07-29 03:16:44,842 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:16:44,843 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:16:44,843 | 256x192_pose_dual_101_d256d256d256 | 0.7517 | 0.9354 | 0.8343 | 0.7260 | 0.7934 | 0.7817 | 0.9427 | 0.8511 | 0.7498 | 0.8298 | -2023-07-29 03:16:45,529 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 03:16:50,258 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:16:50,292 Ensemble Predictions -2023-07-29 03:16:50,293 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:16:50,293 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:16:50,294 | 256x192_pose_dual_101_d256d256d256 | 0.7610 | 0.9357 | 0.8457 | 0.7337 | 0.8017 | 0.7887 | 0.9433 | 0.8602 | 0.7568 | 0.8369 | -2023-07-29 03:16:50,294 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 03:16:58,398 Epoch: [269][0/631] Time 5.115s (5.115s) Speed 6.3 samples/s Data 3.394s (3.394s) Loss 0.000520 (0.000520) Accuracy 0.913 (0.913) loss_pose: 0.000172 loss_cons: 0.000348 -2023-07-29 03:19:32,983 Epoch: [269][100/631] Time 1.557s (1.581s) Speed 20.6 samples/s Data 0.000s (0.034s) Loss 0.000552 (0.000574) Accuracy 0.873 (0.895) loss_pose: 0.000172 loss_cons: 0.000380 -2023-07-29 03:22:08,415 Epoch: [269][200/631] Time 1.602s (1.568s) Speed 20.0 samples/s Data 0.000s (0.017s) Loss 0.000520 (0.000571) Accuracy 0.937 (0.897) loss_pose: 0.000176 loss_cons: 0.000344 -2023-07-29 03:24:43,721 Epoch: [269][300/631] Time 1.587s (1.563s) Speed 20.2 samples/s Data 0.000s (0.012s) Loss 0.000625 (0.000574) Accuracy 0.904 (0.896) loss_pose: 0.000188 loss_cons: 0.000437 -2023-07-29 03:27:18,978 Epoch: [269][400/631] Time 1.528s (1.560s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000650 (0.000574) Accuracy 0.873 (0.897) loss_pose: 0.000203 loss_cons: 0.000447 -2023-07-29 03:29:54,025 Epoch: [269][500/631] Time 1.604s (1.558s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000580 (0.000572) Accuracy 0.889 (0.897) loss_pose: 0.000189 loss_cons: 0.000390 -2023-07-29 03:32:28,924 Epoch: [269][600/631] Time 1.513s (1.557s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000604 (0.000572) Accuracy 0.918 (0.897) loss_pose: 0.000173 loss_cons: 0.000432 -2023-07-29 03:33:14,256 Epoch: [269][630/631] Time 1.521s (1.555s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000500 (0.000572) Accuracy 0.899 (0.897) loss_pose: 0.000189 loss_cons: 0.000311 -2023-07-29 03:33:21,335 Test: [0/199] Time 4.759 (4.759) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-29 03:33:41,961 Test: [100/199] Time 0.194 (0.253) Loss 0.0002 (0.0002) Accuracy 0.921 (0.882) -2023-07-29 03:34:00,752 Test: [198/199] Time 0.140 (0.223) Loss 0.0002 (0.0002) Accuracy 0.917 (0.878) -2023-07-29 03:34:02,820 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 03:34:12,463 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:34:12,502 The Predictions of Net 1 -2023-07-29 03:34:12,503 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:34:12,503 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:34:12,503 | 256x192_pose_dual_101_d256d256d256 | 0.7468 | 0.9257 | 0.8262 | 0.7203 | 0.7872 | 0.7769 | 0.9384 | 0.8476 | 0.7441 | 0.8262 | -2023-07-29 03:34:13,197 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 03:34:20,281 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:34:20,324 The Predictions of Net 2 -2023-07-29 03:34:20,325 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:34:20,325 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:34:20,326 | 256x192_pose_dual_101_d256d256d256 | 0.7490 | 0.9352 | 0.8259 | 0.7249 | 0.7878 | 0.7788 | 0.9402 | 0.8498 | 0.7480 | 0.8258 | -2023-07-29 03:34:21,009 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 03:34:25,744 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:34:25,779 Ensemble Predictions -2023-07-29 03:34:25,780 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:34:25,781 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:34:25,781 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9356 | 0.8365 | 0.7313 | 0.7984 | 0.7862 | 0.9414 | 0.8569 | 0.7541 | 0.8353 | -2023-07-29 03:34:25,782 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 03:34:34,709 Epoch: [270][0/631] Time 6.012s (6.012s) Speed 5.3 samples/s Data 4.352s (4.352s) Loss 0.000566 (0.000566) Accuracy 0.874 (0.874) loss_pose: 0.000217 loss_cons: 0.000349 -2023-07-29 03:37:11,076 Epoch: [270][100/631] Time 1.530s (1.608s) Speed 20.9 samples/s Data 0.000s (0.044s) Loss 0.000636 (0.000573) Accuracy 0.906 (0.897) loss_pose: 0.000204 loss_cons: 0.000432 -2023-07-29 03:39:45,745 Epoch: [270][200/631] Time 1.576s (1.577s) Speed 20.3 samples/s Data 0.000s (0.022s) Loss 0.000653 (0.000570) Accuracy 0.860 (0.898) loss_pose: 0.000234 loss_cons: 0.000419 -2023-07-29 03:42:20,234 Epoch: [270][300/631] Time 1.541s (1.567s) Speed 20.8 samples/s Data 0.000s (0.015s) Loss 0.000656 (0.000572) Accuracy 0.886 (0.898) loss_pose: 0.000202 loss_cons: 0.000454 -2023-07-29 03:44:54,621 Epoch: [270][400/631] Time 1.524s (1.561s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000507 (0.000572) Accuracy 0.900 (0.899) loss_pose: 0.000199 loss_cons: 0.000308 -2023-07-29 03:47:28,636 Epoch: [270][500/631] Time 1.545s (1.557s) Speed 20.7 samples/s Data 0.000s (0.009s) Loss 0.000628 (0.000573) Accuracy 0.935 (0.899) loss_pose: 0.000178 loss_cons: 0.000451 -2023-07-29 03:50:03,358 Epoch: [270][600/631] Time 1.611s (1.555s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000582 (0.000573) Accuracy 0.897 (0.898) loss_pose: 0.000206 loss_cons: 0.000376 -2023-07-29 03:50:51,561 Epoch: [270][630/631] Time 1.597s (1.558s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000634 (0.000573) Accuracy 0.877 (0.899) loss_pose: 0.000233 loss_cons: 0.000402 -2023-07-29 03:51:00,048 Test: [0/199] Time 6.110 (6.110) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-29 03:51:20,101 Test: [100/199] Time 0.206 (0.259) Loss 0.0002 (0.0002) Accuracy 0.915 (0.882) -2023-07-29 03:51:39,115 Test: [198/199] Time 0.284 (0.227) Loss 0.0002 (0.0002) Accuracy 0.922 (0.878) -2023-07-29 03:51:40,577 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 03:51:50,141 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:51:50,177 The Predictions of Net 1 -2023-07-29 03:51:50,177 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:51:50,178 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:51:50,178 | 256x192_pose_dual_101_d256d256d256 | 0.7470 | 0.9355 | 0.8249 | 0.7233 | 0.7878 | 0.7770 | 0.9402 | 0.8437 | 0.7445 | 0.8265 | -2023-07-29 03:51:50,883 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 03:51:55,773 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:51:55,809 The Predictions of Net 2 -2023-07-29 03:51:55,810 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:51:55,811 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:51:55,811 | 256x192_pose_dual_101_d256d256d256 | 0.7471 | 0.9256 | 0.8254 | 0.7246 | 0.7873 | 0.7785 | 0.9392 | 0.8487 | 0.7473 | 0.8257 | -2023-07-29 03:51:56,510 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 03:52:03,451 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 03:52:03,487 Ensemble Predictions -2023-07-29 03:52:03,488 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 03:52:03,488 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 03:52:03,488 | 256x192_pose_dual_101_d256d256d256 | 0.7564 | 0.9359 | 0.8362 | 0.7316 | 0.7989 | 0.7868 | 0.9449 | 0.8560 | 0.7555 | 0.8343 | -2023-07-29 03:52:03,489 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 03:52:12,039 Epoch: [271][0/631] Time 5.592s (5.592s) Speed 5.7 samples/s Data 3.922s (3.922s) Loss 0.000673 (0.000673) Accuracy 0.885 (0.885) loss_pose: 0.000226 loss_cons: 0.000447 -2023-07-29 03:54:47,278 Epoch: [271][100/631] Time 1.578s (1.592s) Speed 20.3 samples/s Data 0.000s (0.039s) Loss 0.000537 (0.000572) Accuracy 0.939 (0.896) loss_pose: 0.000160 loss_cons: 0.000377 -2023-07-29 03:57:22,911 Epoch: [271][200/631] Time 1.590s (1.574s) Speed 20.1 samples/s Data 0.000s (0.020s) Loss 0.000548 (0.000570) Accuracy 0.887 (0.897) loss_pose: 0.000178 loss_cons: 0.000370 -2023-07-29 03:59:57,135 Epoch: [271][300/631] Time 1.519s (1.564s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000740 (0.000570) Accuracy 0.874 (0.898) loss_pose: 0.000231 loss_cons: 0.000510 -2023-07-29 04:02:32,700 Epoch: [271][400/631] Time 1.546s (1.562s) Speed 20.7 samples/s Data 0.000s (0.010s) Loss 0.000643 (0.000572) Accuracy 0.918 (0.896) loss_pose: 0.000189 loss_cons: 0.000454 -2023-07-29 04:05:06,476 Epoch: [271][500/631] Time 1.532s (1.557s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000508 (0.000572) Accuracy 0.929 (0.897) loss_pose: 0.000215 loss_cons: 0.000293 -2023-07-29 04:07:39,176 Epoch: [271][600/631] Time 1.508s (1.552s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000621 (0.000573) Accuracy 0.909 (0.896) loss_pose: 0.000204 loss_cons: 0.000416 -2023-07-29 04:08:24,544 Epoch: [271][630/631] Time 1.507s (1.550s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000514 (0.000572) Accuracy 0.934 (0.897) loss_pose: 0.000158 loss_cons: 0.000356 -2023-07-29 04:08:31,588 Test: [0/199] Time 4.856 (4.856) Loss 0.0002 (0.0002) Accuracy 0.922 (0.922) -2023-07-29 04:08:52,161 Test: [100/199] Time 0.205 (0.253) Loss 0.0002 (0.0002) Accuracy 0.918 (0.880) -2023-07-29 04:09:10,895 Test: [198/199] Time 0.133 (0.223) Loss 0.0002 (0.0002) Accuracy 0.907 (0.877) -2023-07-29 04:09:12,891 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 04:09:22,177 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:09:22,225 The Predictions of Net 1 -2023-07-29 04:09:22,226 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:09:22,227 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:09:22,227 | 256x192_pose_dual_101_d256d256d256 | 0.7480 | 0.9358 | 0.8259 | 0.7232 | 0.7873 | 0.7777 | 0.9411 | 0.8467 | 0.7462 | 0.8256 | -2023-07-29 04:09:22,929 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 04:09:27,693 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:09:27,728 The Predictions of Net 2 -2023-07-29 04:09:27,728 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:09:27,729 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:09:27,729 | 256x192_pose_dual_101_d256d256d256 | 0.7495 | 0.9353 | 0.8251 | 0.7249 | 0.7909 | 0.7801 | 0.9410 | 0.8493 | 0.7477 | 0.8293 | -2023-07-29 04:09:28,417 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 04:09:33,283 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:09:33,319 Ensemble Predictions -2023-07-29 04:09:33,319 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:09:33,320 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:09:33,320 | 256x192_pose_dual_101_d256d256d256 | 0.7568 | 0.9358 | 0.8362 | 0.7324 | 0.7983 | 0.7870 | 0.9432 | 0.8561 | 0.7554 | 0.8352 | -2023-07-29 04:09:33,321 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 04:09:42,465 Epoch: [272][0/631] Time 6.157s (6.157s) Speed 5.2 samples/s Data 4.454s (4.454s) Loss 0.000595 (0.000595) Accuracy 0.889 (0.889) loss_pose: 0.000235 loss_cons: 0.000360 -2023-07-29 04:12:17,716 Epoch: [272][100/631] Time 1.614s (1.598s) Speed 19.8 samples/s Data 0.001s (0.045s) Loss 0.000557 (0.000567) Accuracy 0.897 (0.900) loss_pose: 0.000231 loss_cons: 0.000327 -2023-07-29 04:14:51,932 Epoch: [272][200/631] Time 1.508s (1.570s) Speed 21.2 samples/s Data 0.000s (0.023s) Loss 0.000619 (0.000565) Accuracy 0.923 (0.901) loss_pose: 0.000188 loss_cons: 0.000431 -2023-07-29 04:17:25,576 Epoch: [272][300/631] Time 1.529s (1.559s) Speed 20.9 samples/s Data 0.001s (0.015s) Loss 0.000667 (0.000566) Accuracy 0.899 (0.901) loss_pose: 0.000167 loss_cons: 0.000500 -2023-07-29 04:20:00,327 Epoch: [272][400/631] Time 1.522s (1.556s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000682 (0.000566) Accuracy 0.914 (0.901) loss_pose: 0.000177 loss_cons: 0.000505 -2023-07-29 04:22:34,456 Epoch: [272][500/631] Time 1.521s (1.553s) Speed 21.0 samples/s Data 0.001s (0.009s) Loss 0.000604 (0.000569) Accuracy 0.925 (0.898) loss_pose: 0.000184 loss_cons: 0.000420 -2023-07-29 04:25:08,147 Epoch: [272][600/631] Time 1.508s (1.550s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000592 (0.000569) Accuracy 0.914 (0.899) loss_pose: 0.000189 loss_cons: 0.000403 -2023-07-29 04:25:53,550 Epoch: [272][630/631] Time 1.514s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000599 (0.000569) Accuracy 0.910 (0.899) loss_pose: 0.000194 loss_cons: 0.000405 -2023-07-29 04:26:01,721 Test: [0/199] Time 5.923 (5.923) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 04:26:21,582 Test: [100/199] Time 0.200 (0.255) Loss 0.0002 (0.0002) Accuracy 0.922 (0.882) -2023-07-29 04:26:40,181 Test: [198/199] Time 0.145 (0.223) Loss 0.0002 (0.0002) Accuracy 0.932 (0.879) -2023-07-29 04:26:42,085 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 04:26:53,136 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:26:53,173 The Predictions of Net 1 -2023-07-29 04:26:53,174 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:26:53,174 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:26:53,174 | 256x192_pose_dual_101_d256d256d256 | 0.7452 | 0.9258 | 0.8257 | 0.7202 | 0.7881 | 0.7770 | 0.9397 | 0.8493 | 0.7438 | 0.8268 | -2023-07-29 04:26:53,863 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 04:26:58,595 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:26:58,629 The Predictions of Net 2 -2023-07-29 04:26:58,630 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:26:58,630 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:26:58,630 | 256x192_pose_dual_101_d256d256d256 | 0.7542 | 0.9354 | 0.8357 | 0.7287 | 0.7939 | 0.7828 | 0.9414 | 0.8539 | 0.7516 | 0.8305 | -2023-07-29 04:26:59,318 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 04:27:04,046 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:27:04,080 Ensemble Predictions -2023-07-29 04:27:04,081 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:27:04,081 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:27:04,081 | 256x192_pose_dual_101_d256d256d256 | 0.7593 | 0.9356 | 0.8373 | 0.7338 | 0.8019 | 0.7881 | 0.9432 | 0.8588 | 0.7565 | 0.8365 | -2023-07-29 04:27:04,082 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 04:27:12,494 Epoch: [273][0/631] Time 5.392s (5.392s) Speed 5.9 samples/s Data 3.672s (3.672s) Loss 0.000559 (0.000559) Accuracy 0.904 (0.904) loss_pose: 0.000169 loss_cons: 0.000389 -2023-07-29 04:29:47,120 Epoch: [273][100/631] Time 1.525s (1.584s) Speed 21.0 samples/s Data 0.000s (0.037s) Loss 0.000657 (0.000567) Accuracy 0.924 (0.900) loss_pose: 0.000179 loss_cons: 0.000478 -2023-07-29 04:32:21,673 Epoch: [273][200/631] Time 1.515s (1.565s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000567 (0.000571) Accuracy 0.891 (0.900) loss_pose: 0.000226 loss_cons: 0.000341 -2023-07-29 04:34:55,855 Epoch: [273][300/631] Time 1.526s (1.557s) Speed 21.0 samples/s Data 0.001s (0.013s) Loss 0.000548 (0.000570) Accuracy 0.899 (0.898) loss_pose: 0.000175 loss_cons: 0.000373 -2023-07-29 04:37:29,143 Epoch: [273][400/631] Time 1.536s (1.551s) Speed 20.8 samples/s Data 0.000s (0.010s) Loss 0.000617 (0.000572) Accuracy 0.896 (0.898) loss_pose: 0.000201 loss_cons: 0.000416 -2023-07-29 04:40:03,195 Epoch: [273][500/631] Time 1.594s (1.549s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000601 (0.000573) Accuracy 0.892 (0.898) loss_pose: 0.000204 loss_cons: 0.000396 -2023-07-29 04:42:39,064 Epoch: [273][600/631] Time 1.508s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000564 (0.000572) Accuracy 0.924 (0.899) loss_pose: 0.000185 loss_cons: 0.000379 -2023-07-29 04:43:24,546 Epoch: [273][630/631] Time 1.536s (1.549s) Speed 20.8 samples/s Data 0.000s (0.006s) Loss 0.000483 (0.000572) Accuracy 0.907 (0.898) loss_pose: 0.000159 loss_cons: 0.000324 -2023-07-29 04:43:31,692 Test: [0/199] Time 4.810 (4.810) Loss 0.0002 (0.0002) Accuracy 0.925 (0.925) -2023-07-29 04:43:52,286 Test: [100/199] Time 0.194 (0.255) Loss 0.0002 (0.0002) Accuracy 0.910 (0.879) -2023-07-29 04:44:11,058 Test: [198/199] Time 0.147 (0.223) Loss 0.0002 (0.0002) Accuracy 0.923 (0.876) -2023-07-29 04:44:12,686 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 04:44:22,669 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:44:22,705 The Predictions of Net 1 -2023-07-29 04:44:22,706 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:44:22,707 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:44:22,707 | 256x192_pose_dual_101_d256d256d256 | 0.7455 | 0.9357 | 0.8245 | 0.7212 | 0.7864 | 0.7765 | 0.9424 | 0.8452 | 0.7447 | 0.8244 | -2023-07-29 04:44:23,399 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 04:44:30,231 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:44:30,266 The Predictions of Net 2 -2023-07-29 04:44:30,268 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:44:30,268 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:44:30,268 | 256x192_pose_dual_101_d256d256d256 | 0.7470 | 0.9256 | 0.8255 | 0.7189 | 0.7897 | 0.7770 | 0.9381 | 0.8470 | 0.7436 | 0.8277 | -2023-07-29 04:44:30,957 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 04:44:35,798 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 04:44:35,832 Ensemble Predictions -2023-07-29 04:44:35,832 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 04:44:35,833 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 04:44:35,833 | 256x192_pose_dual_101_d256d256d256 | 0.7564 | 0.9360 | 0.8357 | 0.7306 | 0.7988 | 0.7861 | 0.9433 | 0.8536 | 0.7536 | 0.8354 | -2023-07-29 04:44:35,834 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 04:44:44,703 Epoch: [274][0/631] Time 5.861s (5.861s) Speed 5.5 samples/s Data 4.170s (4.170s) Loss 0.000506 (0.000506) Accuracy 0.899 (0.899) loss_pose: 0.000194 loss_cons: 0.000311 -2023-07-29 04:47:20,332 Epoch: [274][100/631] Time 1.601s (1.599s) Speed 20.0 samples/s Data 0.000s (0.042s) Loss 0.000477 (0.000572) Accuracy 0.917 (0.895) loss_pose: 0.000168 loss_cons: 0.000309 -2023-07-29 04:49:55,915 Epoch: [274][200/631] Time 1.522s (1.577s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000547 (0.000570) Accuracy 0.920 (0.896) loss_pose: 0.000203 loss_cons: 0.000344 -2023-07-29 04:52:29,757 Epoch: [274][300/631] Time 1.609s (1.565s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000596 (0.000571) Accuracy 0.895 (0.897) loss_pose: 0.000187 loss_cons: 0.000409 -2023-07-29 04:55:06,679 Epoch: [274][400/631] Time 1.529s (1.566s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000552 (0.000571) Accuracy 0.916 (0.898) loss_pose: 0.000177 loss_cons: 0.000375 -2023-07-29 04:57:48,900 Epoch: [274][500/631] Time 1.610s (1.577s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000522 (0.000571) Accuracy 0.927 (0.898) loss_pose: 0.000181 loss_cons: 0.000341 -2023-07-29 05:00:28,788 Epoch: [274][600/631] Time 1.590s (1.581s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000545 (0.000571) Accuracy 0.921 (0.898) loss_pose: 0.000161 loss_cons: 0.000384 -2023-07-29 05:01:15,790 Epoch: [274][630/631] Time 1.519s (1.580s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000592 (0.000571) Accuracy 0.901 (0.899) loss_pose: 0.000197 loss_cons: 0.000395 -2023-07-29 05:01:23,219 Test: [0/199] Time 5.258 (5.258) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-29 05:01:43,550 Test: [100/199] Time 0.210 (0.256) Loss 0.0002 (0.0002) Accuracy 0.927 (0.880) -2023-07-29 05:02:02,203 Test: [198/199] Time 0.135 (0.224) Loss 0.0002 (0.0002) Accuracy 0.905 (0.878) -2023-07-29 05:02:04,123 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 05:02:13,679 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:02:13,716 The Predictions of Net 1 -2023-07-29 05:02:13,716 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:02:13,717 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:02:13,718 | 256x192_pose_dual_101_d256d256d256 | 0.7497 | 0.9355 | 0.8350 | 0.7250 | 0.7875 | 0.7788 | 0.9406 | 0.8511 | 0.7486 | 0.8252 | -2023-07-29 05:02:14,424 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 05:02:19,244 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:02:19,279 The Predictions of Net 2 -2023-07-29 05:02:19,279 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:02:19,280 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:02:19,280 | 256x192_pose_dual_101_d256d256d256 | 0.7523 | 0.9351 | 0.8336 | 0.7262 | 0.7933 | 0.7820 | 0.9424 | 0.8508 | 0.7489 | 0.8320 | -2023-07-29 05:02:19,967 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 05:02:26,815 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:02:26,852 Ensemble Predictions -2023-07-29 05:02:26,852 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:02:26,853 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:02:26,853 | 256x192_pose_dual_101_d256d256d256 | 0.7605 | 0.9359 | 0.8365 | 0.7329 | 0.8019 | 0.7891 | 0.9438 | 0.8571 | 0.7576 | 0.8376 | -2023-07-29 05:02:26,854 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 05:02:35,974 Epoch: [275][0/631] Time 5.015s (5.015s) Speed 6.4 samples/s Data 3.233s (3.233s) Loss 0.000610 (0.000610) Accuracy 0.871 (0.871) loss_pose: 0.000194 loss_cons: 0.000416 -2023-07-29 05:05:14,169 Epoch: [275][100/631] Time 1.591s (1.616s) Speed 20.1 samples/s Data 0.001s (0.032s) Loss 0.000575 (0.000572) Accuracy 0.897 (0.897) loss_pose: 0.000178 loss_cons: 0.000397 -2023-07-29 05:07:47,573 Epoch: [275][200/631] Time 1.516s (1.575s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000583 (0.000570) Accuracy 0.889 (0.898) loss_pose: 0.000192 loss_cons: 0.000390 -2023-07-29 05:10:22,329 Epoch: [275][300/631] Time 1.598s (1.566s) Speed 20.0 samples/s Data 0.000s (0.011s) Loss 0.000541 (0.000569) Accuracy 0.928 (0.900) loss_pose: 0.000172 loss_cons: 0.000368 -2023-07-29 05:12:57,159 Epoch: [275][400/631] Time 1.530s (1.562s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000595 (0.000570) Accuracy 0.912 (0.900) loss_pose: 0.000199 loss_cons: 0.000396 -2023-07-29 05:15:31,926 Epoch: [275][500/631] Time 1.528s (1.559s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000530 (0.000570) Accuracy 0.916 (0.900) loss_pose: 0.000201 loss_cons: 0.000330 -2023-07-29 05:18:06,762 Epoch: [275][600/631] Time 1.509s (1.557s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000569 (0.000571) Accuracy 0.878 (0.900) loss_pose: 0.000225 loss_cons: 0.000344 -2023-07-29 05:18:52,103 Epoch: [275][630/631] Time 1.501s (1.555s) Speed 21.3 samples/s Data 0.000s (0.005s) Loss 0.000520 (0.000571) Accuracy 0.915 (0.899) loss_pose: 0.000168 loss_cons: 0.000351 -2023-07-29 05:19:00,240 Test: [0/199] Time 5.939 (5.939) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-29 05:19:20,171 Test: [100/199] Time 0.208 (0.256) Loss 0.0002 (0.0002) Accuracy 0.911 (0.880) -2023-07-29 05:19:39,137 Test: [198/199] Time 0.332 (0.225) Loss 0.0002 (0.0002) Accuracy 0.934 (0.877) -2023-07-29 05:19:40,859 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 05:19:50,421 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:19:50,463 The Predictions of Net 1 -2023-07-29 05:19:50,464 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:19:50,464 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:19:50,465 | 256x192_pose_dual_101_d256d256d256 | 0.7454 | 0.9256 | 0.8262 | 0.7213 | 0.7872 | 0.7775 | 0.9397 | 0.8489 | 0.7459 | 0.8252 | -2023-07-29 05:19:51,159 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 05:19:55,984 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:19:56,021 The Predictions of Net 2 -2023-07-29 05:19:56,022 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:19:56,023 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:19:56,023 | 256x192_pose_dual_101_d256d256d256 | 0.7487 | 0.9255 | 0.8256 | 0.7242 | 0.7915 | 0.7801 | 0.9381 | 0.8497 | 0.7477 | 0.8295 | -2023-07-29 05:19:56,710 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 05:20:01,450 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:20:01,489 Ensemble Predictions -2023-07-29 05:20:01,490 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:20:01,490 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:20:01,490 | 256x192_pose_dual_101_d256d256d256 | 0.7565 | 0.9354 | 0.8357 | 0.7328 | 0.8001 | 0.7872 | 0.9424 | 0.8550 | 0.7554 | 0.8356 | -2023-07-29 05:20:01,491 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 05:20:10,995 Epoch: [276][0/631] Time 6.586s (6.586s) Speed 4.9 samples/s Data 4.824s (4.824s) Loss 0.000533 (0.000533) Accuracy 0.887 (0.887) loss_pose: 0.000209 loss_cons: 0.000325 -2023-07-29 05:22:46,111 Epoch: [276][100/631] Time 1.565s (1.601s) Speed 20.5 samples/s Data 0.000s (0.048s) Loss 0.000486 (0.000556) Accuracy 0.946 (0.902) loss_pose: 0.000171 loss_cons: 0.000314 -2023-07-29 05:25:21,095 Epoch: [276][200/631] Time 1.518s (1.576s) Speed 21.1 samples/s Data 0.000s (0.024s) Loss 0.000611 (0.000566) Accuracy 0.897 (0.899) loss_pose: 0.000198 loss_cons: 0.000414 -2023-07-29 05:27:55,374 Epoch: [276][300/631] Time 1.517s (1.565s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000589 (0.000566) Accuracy 0.891 (0.899) loss_pose: 0.000230 loss_cons: 0.000358 -2023-07-29 05:30:31,322 Epoch: [276][400/631] Time 1.587s (1.563s) Speed 20.2 samples/s Data 0.000s (0.012s) Loss 0.000577 (0.000569) Accuracy 0.918 (0.900) loss_pose: 0.000173 loss_cons: 0.000405 -2023-07-29 05:33:06,550 Epoch: [276][500/631] Time 1.612s (1.561s) Speed 19.8 samples/s Data 0.000s (0.010s) Loss 0.000550 (0.000569) Accuracy 0.903 (0.900) loss_pose: 0.000200 loss_cons: 0.000350 -2023-07-29 05:35:40,933 Epoch: [276][600/631] Time 1.516s (1.558s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000622 (0.000569) Accuracy 0.935 (0.901) loss_pose: 0.000170 loss_cons: 0.000453 -2023-07-29 05:36:27,202 Epoch: [276][630/631] Time 1.595s (1.558s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000672 (0.000569) Accuracy 0.862 (0.900) loss_pose: 0.000194 loss_cons: 0.000478 -2023-07-29 05:36:34,816 Test: [0/199] Time 5.371 (5.371) Loss 0.0002 (0.0002) Accuracy 0.921 (0.921) -2023-07-29 05:36:54,905 Test: [100/199] Time 0.204 (0.254) Loss 0.0002 (0.0002) Accuracy 0.920 (0.879) -2023-07-29 05:37:13,520 Test: [198/199] Time 0.139 (0.222) Loss 0.0002 (0.0002) Accuracy 0.917 (0.877) -2023-07-29 05:37:15,528 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 05:37:24,932 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:37:24,972 The Predictions of Net 1 -2023-07-29 05:37:24,972 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:37:24,973 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:37:24,973 | 256x192_pose_dual_101_d256d256d256 | 0.7474 | 0.9356 | 0.8252 | 0.7228 | 0.7874 | 0.7773 | 0.9402 | 0.8449 | 0.7456 | 0.8255 | -2023-07-29 05:37:25,732 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 05:37:30,517 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:37:30,554 The Predictions of Net 2 -2023-07-29 05:37:30,555 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:37:30,555 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:37:30,556 | 256x192_pose_dual_101_d256d256d256 | 0.7489 | 0.9354 | 0.8254 | 0.7210 | 0.7913 | 0.7785 | 0.9422 | 0.8479 | 0.7447 | 0.8296 | -2023-07-29 05:37:31,251 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 05:37:36,070 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:37:36,102 Ensemble Predictions -2023-07-29 05:37:36,102 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:37:36,103 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:37:36,104 | 256x192_pose_dual_101_d256d256d256 | 0.7564 | 0.9360 | 0.8357 | 0.7306 | 0.8003 | 0.7866 | 0.9432 | 0.8537 | 0.7536 | 0.8365 | -2023-07-29 05:37:36,104 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 05:37:44,596 Epoch: [277][0/631] Time 5.546s (5.546s) Speed 5.8 samples/s Data 3.854s (3.854s) Loss 0.000621 (0.000621) Accuracy 0.883 (0.883) loss_pose: 0.000216 loss_cons: 0.000405 -2023-07-29 05:40:18,772 Epoch: [277][100/631] Time 1.525s (1.581s) Speed 21.0 samples/s Data 0.000s (0.039s) Loss 0.000494 (0.000567) Accuracy 0.885 (0.896) loss_pose: 0.000152 loss_cons: 0.000342 -2023-07-29 05:42:53,993 Epoch: [277][200/631] Time 1.514s (1.567s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000618 (0.000567) Accuracy 0.872 (0.897) loss_pose: 0.000241 loss_cons: 0.000377 -2023-07-29 05:45:27,744 Epoch: [277][300/631] Time 1.554s (1.557s) Speed 20.6 samples/s Data 0.000s (0.013s) Loss 0.000650 (0.000569) Accuracy 0.917 (0.898) loss_pose: 0.000194 loss_cons: 0.000456 -2023-07-29 05:48:02,908 Epoch: [277][400/631] Time 1.618s (1.556s) Speed 19.8 samples/s Data 0.000s (0.010s) Loss 0.000641 (0.000571) Accuracy 0.901 (0.898) loss_pose: 0.000200 loss_cons: 0.000442 -2023-07-29 05:50:37,479 Epoch: [277][500/631] Time 1.528s (1.554s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000638 (0.000571) Accuracy 0.800 (0.898) loss_pose: 0.000273 loss_cons: 0.000365 -2023-07-29 05:53:10,773 Epoch: [277][600/631] Time 1.516s (1.550s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000662 (0.000571) Accuracy 0.922 (0.898) loss_pose: 0.000162 loss_cons: 0.000500 -2023-07-29 05:53:58,239 Epoch: [277][630/631] Time 1.581s (1.552s) Speed 20.2 samples/s Data 0.000s (0.006s) Loss 0.000563 (0.000571) Accuracy 0.867 (0.898) loss_pose: 0.000208 loss_cons: 0.000355 -2023-07-29 05:54:05,780 Test: [0/199] Time 5.146 (5.146) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-29 05:54:26,192 Test: [100/199] Time 0.205 (0.256) Loss 0.0002 (0.0002) Accuracy 0.915 (0.878) -2023-07-29 05:54:44,725 Test: [198/199] Time 0.135 (0.223) Loss 0.0002 (0.0002) Accuracy 0.922 (0.877) -2023-07-29 05:54:46,768 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 05:54:58,716 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:54:58,752 The Predictions of Net 1 -2023-07-29 05:54:58,753 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:54:58,753 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:54:58,753 | 256x192_pose_dual_101_d256d256d256 | 0.7461 | 0.9259 | 0.8252 | 0.7225 | 0.7876 | 0.7772 | 0.9397 | 0.8463 | 0.7456 | 0.8255 | -2023-07-29 05:54:59,451 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 05:55:04,253 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:55:04,289 The Predictions of Net 2 -2023-07-29 05:55:04,291 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:55:04,291 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:55:04,291 | 256x192_pose_dual_101_d256d256d256 | 0.7500 | 0.9255 | 0.8340 | 0.7222 | 0.7936 | 0.7793 | 0.9391 | 0.8508 | 0.7461 | 0.8294 | -2023-07-29 05:55:04,986 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 05:55:09,864 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 05:55:09,899 Ensemble Predictions -2023-07-29 05:55:09,900 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 05:55:09,900 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 05:55:09,900 | 256x192_pose_dual_101_d256d256d256 | 0.7571 | 0.9357 | 0.8363 | 0.7307 | 0.8006 | 0.7863 | 0.9422 | 0.8555 | 0.7541 | 0.8354 | -2023-07-29 05:55:09,901 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 05:55:18,564 Epoch: [278][0/631] Time 5.622s (5.622s) Speed 5.7 samples/s Data 3.911s (3.911s) Loss 0.000504 (0.000504) Accuracy 0.900 (0.900) loss_pose: 0.000183 loss_cons: 0.000322 -2023-07-29 05:57:55,313 Epoch: [278][100/631] Time 1.624s (1.608s) Speed 19.7 samples/s Data 0.000s (0.039s) Loss 0.000481 (0.000566) Accuracy 0.906 (0.900) loss_pose: 0.000202 loss_cons: 0.000279 -2023-07-29 06:00:30,467 Epoch: [278][200/631] Time 1.515s (1.580s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000584 (0.000568) Accuracy 0.939 (0.901) loss_pose: 0.000201 loss_cons: 0.000383 -2023-07-29 06:03:06,268 Epoch: [278][300/631] Time 1.582s (1.573s) Speed 20.2 samples/s Data 0.000s (0.013s) Loss 0.000633 (0.000571) Accuracy 0.927 (0.899) loss_pose: 0.000170 loss_cons: 0.000463 -2023-07-29 06:05:40,811 Epoch: [278][400/631] Time 1.623s (1.566s) Speed 19.7 samples/s Data 0.000s (0.010s) Loss 0.000503 (0.000570) Accuracy 0.887 (0.900) loss_pose: 0.000198 loss_cons: 0.000306 -2023-07-29 06:08:15,049 Epoch: [278][500/631] Time 1.608s (1.561s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000582 (0.000568) Accuracy 0.891 (0.900) loss_pose: 0.000204 loss_cons: 0.000378 -2023-07-29 06:10:49,439 Epoch: [278][600/631] Time 1.506s (1.558s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000563 (0.000568) Accuracy 0.895 (0.900) loss_pose: 0.000188 loss_cons: 0.000374 -2023-07-29 06:11:34,890 Epoch: [278][630/631] Time 1.508s (1.556s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000579 (0.000568) Accuracy 0.888 (0.899) loss_pose: 0.000186 loss_cons: 0.000393 -2023-07-29 06:11:43,075 Test: [0/199] Time 5.974 (5.974) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-29 06:12:03,092 Test: [100/199] Time 0.198 (0.257) Loss 0.0002 (0.0002) Accuracy 0.902 (0.878) -2023-07-29 06:12:22,001 Test: [198/199] Time 0.287 (0.225) Loss 0.0002 (0.0002) Accuracy 0.883 (0.875) -2023-07-29 06:12:23,388 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 06:12:33,026 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:12:33,065 The Predictions of Net 1 -2023-07-29 06:12:33,066 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:12:33,067 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:12:33,067 | 256x192_pose_dual_101_d256d256d256 | 0.7447 | 0.9261 | 0.8250 | 0.7211 | 0.7846 | 0.7752 | 0.9388 | 0.8443 | 0.7429 | 0.8240 | -2023-07-29 06:12:33,766 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 06:12:41,018 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:12:41,058 The Predictions of Net 2 -2023-07-29 06:12:41,058 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:12:41,059 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:12:41,059 | 256x192_pose_dual_101_d256d256d256 | 0.7481 | 0.9256 | 0.8253 | 0.7227 | 0.7899 | 0.7786 | 0.9389 | 0.8481 | 0.7464 | 0.8271 | -2023-07-29 06:12:41,751 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 06:12:46,530 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:12:46,565 Ensemble Predictions -2023-07-29 06:12:46,565 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:12:46,566 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:12:46,566 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9358 | 0.8377 | 0.7321 | 0.7986 | 0.7865 | 0.9427 | 0.8585 | 0.7542 | 0.8352 | -2023-07-29 06:12:46,567 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 06:12:55,627 Epoch: [279][0/631] Time 6.166s (6.166s) Speed 5.2 samples/s Data 4.513s (4.513s) Loss 0.000578 (0.000578) Accuracy 0.861 (0.861) loss_pose: 0.000201 loss_cons: 0.000377 -2023-07-29 06:15:29,994 Epoch: [279][100/631] Time 1.551s (1.589s) Speed 20.6 samples/s Data 0.000s (0.045s) Loss 0.000555 (0.000570) Accuracy 0.897 (0.900) loss_pose: 0.000208 loss_cons: 0.000347 -2023-07-29 06:18:05,621 Epoch: [279][200/631] Time 1.511s (1.573s) Speed 21.2 samples/s Data 0.000s (0.023s) Loss 0.000576 (0.000570) Accuracy 0.896 (0.900) loss_pose: 0.000220 loss_cons: 0.000357 -2023-07-29 06:20:39,973 Epoch: [279][300/631] Time 1.590s (1.563s) Speed 20.1 samples/s Data 0.000s (0.015s) Loss 0.000615 (0.000572) Accuracy 0.901 (0.900) loss_pose: 0.000176 loss_cons: 0.000439 -2023-07-29 06:23:14,984 Epoch: [279][400/631] Time 1.611s (1.560s) Speed 19.9 samples/s Data 0.000s (0.012s) Loss 0.000669 (0.000572) Accuracy 0.908 (0.899) loss_pose: 0.000176 loss_cons: 0.000493 -2023-07-29 06:25:50,382 Epoch: [279][500/631] Time 1.614s (1.559s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000522 (0.000572) Accuracy 0.903 (0.899) loss_pose: 0.000195 loss_cons: 0.000327 -2023-07-29 06:28:23,620 Epoch: [279][600/631] Time 1.517s (1.554s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000589 (0.000572) Accuracy 0.882 (0.899) loss_pose: 0.000225 loss_cons: 0.000364 -2023-07-29 06:29:08,979 Epoch: [279][630/631] Time 1.529s (1.552s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000517 (0.000572) Accuracy 0.934 (0.899) loss_pose: 0.000178 loss_cons: 0.000339 -2023-07-29 06:29:16,420 Test: [0/199] Time 5.242 (5.242) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-29 06:29:36,721 Test: [100/199] Time 0.198 (0.255) Loss 0.0002 (0.0002) Accuracy 0.925 (0.881) -2023-07-29 06:29:55,455 Test: [198/199] Time 0.156 (0.223) Loss 0.0002 (0.0002) Accuracy 0.893 (0.878) -2023-07-29 06:29:57,156 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 06:30:06,214 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:30:06,254 The Predictions of Net 1 -2023-07-29 06:30:06,255 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:30:06,256 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:30:06,256 | 256x192_pose_dual_101_d256d256d256 | 0.7456 | 0.9255 | 0.8260 | 0.7215 | 0.7904 | 0.7785 | 0.9370 | 0.8487 | 0.7450 | 0.8293 | -2023-07-29 06:30:06,952 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 06:30:11,731 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:30:11,766 The Predictions of Net 2 -2023-07-29 06:30:11,770 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:30:11,771 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:30:11,771 | 256x192_pose_dual_101_d256d256d256 | 0.7504 | 0.9353 | 0.8339 | 0.7238 | 0.7897 | 0.7797 | 0.9403 | 0.8503 | 0.7479 | 0.8282 | -2023-07-29 06:30:12,458 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 06:30:17,174 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:30:17,208 Ensemble Predictions -2023-07-29 06:30:17,208 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:30:17,209 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:30:17,209 | 256x192_pose_dual_101_d256d256d256 | 0.7580 | 0.9358 | 0.8369 | 0.7329 | 0.8004 | 0.7884 | 0.9433 | 0.8593 | 0.7559 | 0.8379 | -2023-07-29 06:30:17,210 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 06:30:28,424 Epoch: [280][0/631] Time 6.127s (6.127s) Speed 5.2 samples/s Data 4.417s (4.417s) Loss 0.000558 (0.000558) Accuracy 0.879 (0.879) loss_pose: 0.000248 loss_cons: 0.000309 -2023-07-29 06:33:03,776 Epoch: [280][100/631] Time 1.515s (1.599s) Speed 21.1 samples/s Data 0.000s (0.044s) Loss 0.000574 (0.000568) Accuracy 0.930 (0.897) loss_pose: 0.000182 loss_cons: 0.000392 -2023-07-29 06:35:37,943 Epoch: [280][200/631] Time 1.538s (1.570s) Speed 20.8 samples/s Data 0.000s (0.022s) Loss 0.000520 (0.000566) Accuracy 0.920 (0.897) loss_pose: 0.000178 loss_cons: 0.000342 -2023-07-29 06:38:13,199 Epoch: [280][300/631] Time 1.608s (1.564s) Speed 19.9 samples/s Data 0.000s (0.015s) Loss 0.000650 (0.000566) Accuracy 0.922 (0.898) loss_pose: 0.000181 loss_cons: 0.000469 -2023-07-29 06:40:48,815 Epoch: [280][400/631] Time 1.596s (1.562s) Speed 20.0 samples/s Data 0.000s (0.011s) Loss 0.000583 (0.000566) Accuracy 0.924 (0.898) loss_pose: 0.000168 loss_cons: 0.000415 -2023-07-29 06:43:23,075 Epoch: [280][500/631] Time 1.522s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000578 (0.000567) Accuracy 0.925 (0.898) loss_pose: 0.000185 loss_cons: 0.000393 -2023-07-29 06:45:56,844 Epoch: [280][600/631] Time 1.511s (1.555s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000556 (0.000569) Accuracy 0.917 (0.898) loss_pose: 0.000185 loss_cons: 0.000372 -2023-07-29 06:46:42,922 Epoch: [280][630/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000477 (0.000569) Accuracy 0.919 (0.898) loss_pose: 0.000172 loss_cons: 0.000305 -2023-07-29 06:46:50,454 Test: [0/199] Time 5.110 (5.110) Loss 0.0002 (0.0002) Accuracy 0.902 (0.902) -2023-07-29 06:47:10,329 Test: [100/199] Time 0.203 (0.249) Loss 0.0002 (0.0002) Accuracy 0.918 (0.879) -2023-07-29 06:47:28,864 Test: [198/199] Time 0.133 (0.220) Loss 0.0002 (0.0002) Accuracy 0.940 (0.877) -2023-07-29 06:47:30,580 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 06:47:39,548 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:47:39,590 The Predictions of Net 1 -2023-07-29 06:47:39,592 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:47:39,593 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:47:39,593 | 256x192_pose_dual_101_d256d256d256 | 0.7503 | 0.9356 | 0.8342 | 0.7259 | 0.7897 | 0.7802 | 0.9429 | 0.8506 | 0.7483 | 0.8282 | -2023-07-29 06:47:40,287 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 06:47:45,046 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:47:45,081 The Predictions of Net 2 -2023-07-29 06:47:45,082 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:47:45,082 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:47:45,082 | 256x192_pose_dual_101_d256d256d256 | 0.7517 | 0.9349 | 0.8342 | 0.7253 | 0.7917 | 0.7800 | 0.9408 | 0.8511 | 0.7479 | 0.8287 | -2023-07-29 06:47:45,774 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 06:47:50,510 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 06:47:50,545 Ensemble Predictions -2023-07-29 06:47:50,546 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 06:47:50,546 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 06:47:50,546 | 256x192_pose_dual_101_d256d256d256 | 0.7588 | 0.9359 | 0.8366 | 0.7325 | 0.8004 | 0.7887 | 0.9444 | 0.8580 | 0.7569 | 0.8369 | -2023-07-29 06:47:50,547 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 06:47:58,525 Epoch: [281][0/631] Time 5.002s (5.002s) Speed 6.4 samples/s Data 3.241s (3.241s) Loss 0.000592 (0.000592) Accuracy 0.858 (0.858) loss_pose: 0.000208 loss_cons: 0.000384 -2023-07-29 06:50:34,639 Epoch: [281][100/631] Time 1.526s (1.595s) Speed 21.0 samples/s Data 0.000s (0.032s) Loss 0.000480 (0.000562) Accuracy 0.915 (0.900) loss_pose: 0.000177 loss_cons: 0.000303 -2023-07-29 06:53:09,824 Epoch: [281][200/631] Time 1.537s (1.574s) Speed 20.8 samples/s Data 0.000s (0.017s) Loss 0.000593 (0.000568) Accuracy 0.909 (0.899) loss_pose: 0.000187 loss_cons: 0.000406 -2023-07-29 06:55:44,590 Epoch: [281][300/631] Time 1.618s (1.565s) Speed 19.8 samples/s Data 0.000s (0.011s) Loss 0.000614 (0.000567) Accuracy 0.886 (0.901) loss_pose: 0.000197 loss_cons: 0.000417 -2023-07-29 06:58:20,475 Epoch: [281][400/631] Time 1.526s (1.563s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000565 (0.000569) Accuracy 0.960 (0.900) loss_pose: 0.000163 loss_cons: 0.000402 -2023-07-29 07:00:56,195 Epoch: [281][500/631] Time 1.512s (1.562s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000522 (0.000568) Accuracy 0.846 (0.899) loss_pose: 0.000187 loss_cons: 0.000336 -2023-07-29 07:03:29,359 Epoch: [281][600/631] Time 1.504s (1.557s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000547 (0.000569) Accuracy 0.904 (0.899) loss_pose: 0.000191 loss_cons: 0.000356 -2023-07-29 07:04:16,910 Epoch: [281][630/631] Time 1.508s (1.558s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000592 (0.000569) Accuracy 0.858 (0.899) loss_pose: 0.000234 loss_cons: 0.000359 -2023-07-29 07:04:24,874 Test: [0/199] Time 5.791 (5.791) Loss 0.0002 (0.0002) Accuracy 0.902 (0.902) -2023-07-29 07:04:44,649 Test: [100/199] Time 0.208 (0.253) Loss 0.0002 (0.0002) Accuracy 0.934 (0.883) -2023-07-29 07:05:03,295 Test: [198/199] Time 0.150 (0.222) Loss 0.0002 (0.0002) Accuracy 0.908 (0.879) -2023-07-29 07:05:05,049 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 07:05:15,862 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:05:15,899 The Predictions of Net 1 -2023-07-29 07:05:15,899 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:05:15,900 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:05:15,901 | 256x192_pose_dual_101_d256d256d256 | 0.7509 | 0.9354 | 0.8348 | 0.7275 | 0.7892 | 0.7806 | 0.9413 | 0.8511 | 0.7495 | 0.8284 | -2023-07-29 07:05:16,588 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 07:05:21,356 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:05:21,389 The Predictions of Net 2 -2023-07-29 07:05:21,390 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:05:21,390 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:05:21,390 | 256x192_pose_dual_101_d256d256d256 | 0.7534 | 0.9350 | 0.8353 | 0.7271 | 0.7930 | 0.7818 | 0.9405 | 0.8528 | 0.7503 | 0.8295 | -2023-07-29 07:05:22,075 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 07:05:26,916 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:05:26,950 Ensemble Predictions -2023-07-29 07:05:26,951 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:05:26,951 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:05:26,952 | 256x192_pose_dual_101_d256d256d256 | 0.7619 | 0.9360 | 0.8468 | 0.7360 | 0.8025 | 0.7898 | 0.9435 | 0.8613 | 0.7590 | 0.8373 | -2023-07-29 07:05:26,953 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 07:05:36,454 Epoch: [282][0/631] Time 5.426s (5.426s) Speed 5.9 samples/s Data 3.723s (3.723s) Loss 0.000482 (0.000482) Accuracy 0.899 (0.899) loss_pose: 0.000186 loss_cons: 0.000296 -2023-07-29 07:08:12,327 Epoch: [282][100/631] Time 1.509s (1.597s) Speed 21.2 samples/s Data 0.000s (0.037s) Loss 0.000586 (0.000562) Accuracy 0.889 (0.903) loss_pose: 0.000197 loss_cons: 0.000389 -2023-07-29 07:10:45,796 Epoch: [282][200/631] Time 1.526s (1.566s) Speed 21.0 samples/s Data 0.000s (0.019s) Loss 0.000554 (0.000568) Accuracy 0.918 (0.902) loss_pose: 0.000151 loss_cons: 0.000403 -2023-07-29 07:13:20,504 Epoch: [282][300/631] Time 1.511s (1.560s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000695 (0.000567) Accuracy 0.900 (0.901) loss_pose: 0.000188 loss_cons: 0.000507 -2023-07-29 07:15:55,747 Epoch: [282][400/631] Time 1.627s (1.558s) Speed 19.7 samples/s Data 0.000s (0.010s) Loss 0.000649 (0.000568) Accuracy 0.832 (0.902) loss_pose: 0.000287 loss_cons: 0.000363 -2023-07-29 07:18:32,364 Epoch: [282][500/631] Time 1.518s (1.560s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000485 (0.000568) Accuracy 0.942 (0.902) loss_pose: 0.000179 loss_cons: 0.000306 -2023-07-29 07:21:05,855 Epoch: [282][600/631] Time 1.504s (1.555s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000605 (0.000568) Accuracy 0.881 (0.902) loss_pose: 0.000188 loss_cons: 0.000417 -2023-07-29 07:21:51,228 Epoch: [282][630/631] Time 1.507s (1.553s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000597 (0.000569) Accuracy 0.897 (0.901) loss_pose: 0.000185 loss_cons: 0.000412 -2023-07-29 07:21:59,597 Test: [0/199] Time 6.394 (6.394) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-29 07:22:19,601 Test: [100/199] Time 0.203 (0.261) Loss 0.0002 (0.0002) Accuracy 0.918 (0.878) -2023-07-29 07:22:38,796 Test: [198/199] Time 0.372 (0.229) Loss 0.0002 (0.0002) Accuracy 0.933 (0.875) -2023-07-29 07:22:40,213 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 07:22:49,601 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:22:49,649 The Predictions of Net 1 -2023-07-29 07:22:49,651 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:22:49,651 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:22:49,651 | 256x192_pose_dual_101_d256d256d256 | 0.7481 | 0.9358 | 0.8345 | 0.7236 | 0.7869 | 0.7783 | 0.9435 | 0.8512 | 0.7475 | 0.8253 | -2023-07-29 07:22:50,350 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 07:22:57,304 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:22:57,345 The Predictions of Net 2 -2023-07-29 07:22:57,347 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:22:57,348 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:22:57,348 | 256x192_pose_dual_101_d256d256d256 | 0.7452 | 0.9352 | 0.8245 | 0.7203 | 0.7843 | 0.7766 | 0.9411 | 0.8460 | 0.7452 | 0.8240 | -2023-07-29 07:22:58,035 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 07:23:02,830 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:23:02,870 Ensemble Predictions -2023-07-29 07:23:02,871 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:23:02,872 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:23:02,872 | 256x192_pose_dual_101_d256d256d256 | 0.7560 | 0.9360 | 0.8367 | 0.7305 | 0.7978 | 0.7864 | 0.9446 | 0.8578 | 0.7547 | 0.8344 | -2023-07-29 07:23:02,873 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 07:23:11,778 Epoch: [283][0/631] Time 5.991s (5.991s) Speed 5.3 samples/s Data 4.334s (4.334s) Loss 0.000504 (0.000504) Accuracy 0.921 (0.921) loss_pose: 0.000174 loss_cons: 0.000330 -2023-07-29 07:25:47,469 Epoch: [283][100/631] Time 1.535s (1.601s) Speed 20.8 samples/s Data 0.000s (0.043s) Loss 0.000552 (0.000571) Accuracy 0.872 (0.897) loss_pose: 0.000233 loss_cons: 0.000319 -2023-07-29 07:28:23,119 Epoch: [283][200/631] Time 1.596s (1.579s) Speed 20.0 samples/s Data 0.000s (0.022s) Loss 0.000612 (0.000571) Accuracy 0.938 (0.897) loss_pose: 0.000182 loss_cons: 0.000429 -2023-07-29 07:30:58,134 Epoch: [283][300/631] Time 1.538s (1.569s) Speed 20.8 samples/s Data 0.000s (0.015s) Loss 0.000650 (0.000570) Accuracy 0.894 (0.898) loss_pose: 0.000185 loss_cons: 0.000465 -2023-07-29 07:33:38,762 Epoch: [283][400/631] Time 1.601s (1.578s) Speed 20.0 samples/s Data 0.000s (0.011s) Loss 0.000597 (0.000572) Accuracy 0.942 (0.898) loss_pose: 0.000200 loss_cons: 0.000397 -2023-07-29 07:36:18,658 Epoch: [283][500/631] Time 1.602s (1.583s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000656 (0.000569) Accuracy 0.841 (0.899) loss_pose: 0.000247 loss_cons: 0.000409 -2023-07-29 07:38:57,191 Epoch: [283][600/631] Time 1.508s (1.583s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000536 (0.000569) Accuracy 0.941 (0.899) loss_pose: 0.000167 loss_cons: 0.000369 -2023-07-29 07:39:42,785 Epoch: [283][630/631] Time 1.563s (1.580s) Speed 20.5 samples/s Data 0.000s (0.007s) Loss 0.000544 (0.000569) Accuracy 0.883 (0.899) loss_pose: 0.000174 loss_cons: 0.000371 -2023-07-29 07:39:51,099 Test: [0/199] Time 5.946 (5.946) Loss 0.0002 (0.0002) Accuracy 0.922 (0.922) -2023-07-29 07:40:10,983 Test: [100/199] Time 0.200 (0.256) Loss 0.0002 (0.0002) Accuracy 0.904 (0.878) -2023-07-29 07:40:29,679 Test: [198/199] Time 0.135 (0.224) Loss 0.0002 (0.0002) Accuracy 0.889 (0.876) -2023-07-29 07:40:31,298 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 07:40:40,433 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:40:40,473 The Predictions of Net 1 -2023-07-29 07:40:40,474 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:40:40,476 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:40:40,476 | 256x192_pose_dual_101_d256d256d256 | 0.7458 | 0.9352 | 0.8252 | 0.7223 | 0.7846 | 0.7774 | 0.9413 | 0.8478 | 0.7463 | 0.8247 | -2023-07-29 07:40:41,185 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 07:40:46,112 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:40:46,152 The Predictions of Net 2 -2023-07-29 07:40:46,152 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:40:46,153 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:40:46,153 | 256x192_pose_dual_101_d256d256d256 | 0.7462 | 0.9353 | 0.8240 | 0.7209 | 0.7872 | 0.7779 | 0.9411 | 0.8471 | 0.7458 | 0.8268 | -2023-07-29 07:40:46,856 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 07:40:53,838 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:40:53,876 Ensemble Predictions -2023-07-29 07:40:53,877 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:40:53,877 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:40:53,877 | 256x192_pose_dual_101_d256d256d256 | 0.7553 | 0.9358 | 0.8351 | 0.7303 | 0.7948 | 0.7857 | 0.9427 | 0.8553 | 0.7549 | 0.8327 | -2023-07-29 07:40:53,878 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 07:41:01,835 Epoch: [284][0/631] Time 5.079s (5.079s) Speed 6.3 samples/s Data 3.329s (3.329s) Loss 0.000548 (0.000548) Accuracy 0.895 (0.895) loss_pose: 0.000198 loss_cons: 0.000351 -2023-07-29 07:43:40,148 Epoch: [284][100/631] Time 1.519s (1.618s) Speed 21.1 samples/s Data 0.000s (0.033s) Loss 0.000514 (0.000562) Accuracy 0.869 (0.898) loss_pose: 0.000175 loss_cons: 0.000339 -2023-07-29 07:46:17,109 Epoch: [284][200/631] Time 1.510s (1.594s) Speed 21.2 samples/s Data 0.000s (0.017s) Loss 0.000592 (0.000567) Accuracy 0.841 (0.899) loss_pose: 0.000244 loss_cons: 0.000349 -2023-07-29 07:48:51,857 Epoch: [284][300/631] Time 1.519s (1.578s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000668 (0.000566) Accuracy 0.924 (0.899) loss_pose: 0.000199 loss_cons: 0.000469 -2023-07-29 07:51:26,684 Epoch: [284][400/631] Time 1.623s (1.571s) Speed 19.7 samples/s Data 0.000s (0.009s) Loss 0.000563 (0.000566) Accuracy 0.919 (0.899) loss_pose: 0.000168 loss_cons: 0.000395 -2023-07-29 07:54:00,394 Epoch: [284][500/631] Time 1.533s (1.564s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000552 (0.000567) Accuracy 0.906 (0.898) loss_pose: 0.000185 loss_cons: 0.000367 -2023-07-29 07:56:35,304 Epoch: [284][600/631] Time 1.514s (1.562s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000582 (0.000566) Accuracy 0.849 (0.899) loss_pose: 0.000210 loss_cons: 0.000372 -2023-07-29 07:57:20,672 Epoch: [284][630/631] Time 1.515s (1.559s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000533 (0.000566) Accuracy 0.920 (0.900) loss_pose: 0.000190 loss_cons: 0.000343 -2023-07-29 07:57:28,565 Test: [0/199] Time 5.916 (5.916) Loss 0.0002 (0.0002) Accuracy 0.900 (0.900) -2023-07-29 07:57:48,420 Test: [100/199] Time 0.198 (0.255) Loss 0.0002 (0.0002) Accuracy 0.913 (0.882) -2023-07-29 07:58:06,991 Test: [198/199] Time 0.141 (0.223) Loss 0.0002 (0.0002) Accuracy 0.927 (0.880) -2023-07-29 07:58:08,738 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 07:58:18,063 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:58:18,106 The Predictions of Net 1 -2023-07-29 07:58:18,108 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:58:18,108 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:58:18,108 | 256x192_pose_dual_101_d256d256d256 | 0.7496 | 0.9359 | 0.8263 | 0.7258 | 0.7879 | 0.7792 | 0.9435 | 0.8498 | 0.7475 | 0.8273 | -2023-07-29 07:58:18,803 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 07:58:23,560 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:58:23,594 The Predictions of Net 2 -2023-07-29 07:58:23,595 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:58:23,595 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:58:23,596 | 256x192_pose_dual_101_d256d256d256 | 0.7508 | 0.9259 | 0.8335 | 0.7223 | 0.7932 | 0.7805 | 0.9399 | 0.8501 | 0.7466 | 0.8320 | -2023-07-29 07:58:24,282 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 07:58:28,998 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 07:58:29,032 Ensemble Predictions -2023-07-29 07:58:29,033 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 07:58:29,033 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 07:58:29,034 | 256x192_pose_dual_101_d256d256d256 | 0.7589 | 0.9360 | 0.8365 | 0.7340 | 0.8000 | 0.7882 | 0.9438 | 0.8567 | 0.7566 | 0.8366 | -2023-07-29 07:58:29,035 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 07:58:38,119 Epoch: [285][0/631] Time 6.126s (6.126s) Speed 5.2 samples/s Data 4.456s (4.456s) Loss 0.000531 (0.000531) Accuracy 0.904 (0.904) loss_pose: 0.000202 loss_cons: 0.000330 -2023-07-29 08:01:13,627 Epoch: [285][100/631] Time 1.523s (1.600s) Speed 21.0 samples/s Data 0.000s (0.045s) Loss 0.000497 (0.000561) Accuracy 0.910 (0.900) loss_pose: 0.000191 loss_cons: 0.000306 -2023-07-29 08:03:49,566 Epoch: [285][200/631] Time 1.505s (1.580s) Speed 21.3 samples/s Data 0.000s (0.023s) Loss 0.000608 (0.000565) Accuracy 0.936 (0.899) loss_pose: 0.000172 loss_cons: 0.000436 -2023-07-29 08:06:23,930 Epoch: [285][300/631] Time 1.516s (1.568s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000568 (0.000568) Accuracy 0.890 (0.897) loss_pose: 0.000194 loss_cons: 0.000374 -2023-07-29 08:08:58,975 Epoch: [285][400/631] Time 1.583s (1.564s) Speed 20.2 samples/s Data 0.000s (0.011s) Loss 0.000539 (0.000569) Accuracy 0.880 (0.897) loss_pose: 0.000220 loss_cons: 0.000319 -2023-07-29 08:11:32,585 Epoch: [285][500/631] Time 1.527s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000616 (0.000570) Accuracy 0.882 (0.897) loss_pose: 0.000221 loss_cons: 0.000394 -2023-07-29 08:14:05,879 Epoch: [285][600/631] Time 1.504s (1.554s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000604 (0.000570) Accuracy 0.873 (0.897) loss_pose: 0.000189 loss_cons: 0.000415 -2023-07-29 08:14:51,239 Epoch: [285][630/631] Time 1.509s (1.552s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000512 (0.000570) Accuracy 0.869 (0.898) loss_pose: 0.000190 loss_cons: 0.000322 -2023-07-29 08:14:58,536 Test: [0/199] Time 5.051 (5.051) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 08:15:19,101 Test: [100/199] Time 0.211 (0.256) Loss 0.0002 (0.0002) Accuracy 0.927 (0.883) -2023-07-29 08:15:37,889 Test: [198/199] Time 0.134 (0.225) Loss 0.0002 (0.0002) Accuracy 0.927 (0.881) -2023-07-29 08:15:41,908 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 08:15:50,753 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:15:50,790 The Predictions of Net 1 -2023-07-29 08:15:50,791 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:15:50,791 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:15:50,791 | 256x192_pose_dual_101_d256d256d256 | 0.7507 | 0.9356 | 0.8353 | 0.7284 | 0.7869 | 0.7810 | 0.9427 | 0.8519 | 0.7515 | 0.8262 | -2023-07-29 08:15:51,481 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 08:15:56,261 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:15:56,299 The Predictions of Net 2 -2023-07-29 08:15:56,300 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:15:56,301 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:15:56,301 | 256x192_pose_dual_101_d256d256d256 | 0.7484 | 0.9361 | 0.8263 | 0.7224 | 0.7915 | 0.7787 | 0.9424 | 0.8462 | 0.7457 | 0.8285 | -2023-07-29 08:15:56,993 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 08:16:01,731 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:16:01,765 Ensemble Predictions -2023-07-29 08:16:01,766 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:16:01,766 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:16:01,766 | 256x192_pose_dual_101_d256d256d256 | 0.7584 | 0.9361 | 0.8463 | 0.7334 | 0.8005 | 0.7881 | 0.9449 | 0.8607 | 0.7562 | 0.8366 | -2023-07-29 08:16:01,767 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 08:16:10,278 Epoch: [286][0/631] Time 5.531s (5.531s) Speed 5.8 samples/s Data 3.809s (3.809s) Loss 0.000545 (0.000545) Accuracy 0.876 (0.876) loss_pose: 0.000179 loss_cons: 0.000366 -2023-07-29 08:18:45,703 Epoch: [286][100/631] Time 1.605s (1.594s) Speed 19.9 samples/s Data 0.000s (0.038s) Loss 0.000599 (0.000567) Accuracy 0.832 (0.901) loss_pose: 0.000265 loss_cons: 0.000334 -2023-07-29 08:21:21,410 Epoch: [286][200/631] Time 1.620s (1.575s) Speed 19.8 samples/s Data 0.000s (0.019s) Loss 0.000705 (0.000566) Accuracy 0.841 (0.901) loss_pose: 0.000244 loss_cons: 0.000461 -2023-07-29 08:23:57,247 Epoch: [286][300/631] Time 1.524s (1.570s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000622 (0.000562) Accuracy 0.916 (0.902) loss_pose: 0.000210 loss_cons: 0.000412 -2023-07-29 08:26:31,997 Epoch: [286][400/631] Time 1.524s (1.564s) Speed 21.0 samples/s Data 0.001s (0.010s) Loss 0.000546 (0.000564) Accuracy 0.935 (0.902) loss_pose: 0.000153 loss_cons: 0.000393 -2023-07-29 08:29:06,325 Epoch: [286][500/631] Time 1.557s (1.560s) Speed 20.5 samples/s Data 0.000s (0.008s) Loss 0.000694 (0.000564) Accuracy 0.867 (0.901) loss_pose: 0.000204 loss_cons: 0.000490 -2023-07-29 08:31:39,530 Epoch: [286][600/631] Time 1.515s (1.555s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000500 (0.000563) Accuracy 0.897 (0.902) loss_pose: 0.000181 loss_cons: 0.000319 -2023-07-29 08:32:24,852 Epoch: [286][630/631] Time 1.502s (1.553s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000646 (0.000564) Accuracy 0.880 (0.902) loss_pose: 0.000206 loss_cons: 0.000440 -2023-07-29 08:32:33,115 Test: [0/199] Time 6.176 (6.176) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-29 08:32:52,856 Test: [100/199] Time 0.203 (0.257) Loss 0.0002 (0.0002) Accuracy 0.900 (0.880) -2023-07-29 08:33:11,510 Test: [198/199] Time 0.154 (0.224) Loss 0.0002 (0.0002) Accuracy 0.936 (0.877) -2023-07-29 08:33:13,578 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 08:33:22,709 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:33:22,744 The Predictions of Net 1 -2023-07-29 08:33:22,745 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:33:22,745 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:33:22,745 | 256x192_pose_dual_101_d256d256d256 | 0.7475 | 0.9254 | 0.8242 | 0.7244 | 0.7882 | 0.7785 | 0.9391 | 0.8465 | 0.7464 | 0.8269 | -2023-07-29 08:33:25,529 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 08:33:30,326 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:33:30,361 The Predictions of Net 2 -2023-07-29 08:33:30,362 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:33:30,363 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:33:30,363 | 256x192_pose_dual_101_d256d256d256 | 0.7507 | 0.9354 | 0.8343 | 0.7256 | 0.7919 | 0.7807 | 0.9425 | 0.8503 | 0.7482 | 0.8297 | -2023-07-29 08:33:31,050 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 08:33:35,801 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:33:35,836 Ensemble Predictions -2023-07-29 08:33:35,836 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:33:35,837 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:33:35,837 | 256x192_pose_dual_101_d256d256d256 | 0.7584 | 0.9360 | 0.8364 | 0.7336 | 0.8001 | 0.7886 | 0.9446 | 0.8580 | 0.7566 | 0.8372 | -2023-07-29 08:33:35,838 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 08:33:44,183 Epoch: [287][0/631] Time 5.251s (5.251s) Speed 6.1 samples/s Data 3.546s (3.546s) Loss 0.000510 (0.000510) Accuracy 0.913 (0.913) loss_pose: 0.000172 loss_cons: 0.000338 -2023-07-29 08:36:21,410 Epoch: [287][100/631] Time 1.599s (1.609s) Speed 20.0 samples/s Data 0.000s (0.036s) Loss 0.000641 (0.000568) Accuracy 0.893 (0.901) loss_pose: 0.000194 loss_cons: 0.000447 -2023-07-29 08:38:58,405 Epoch: [287][200/631] Time 1.610s (1.589s) Speed 19.9 samples/s Data 0.000s (0.018s) Loss 0.000548 (0.000568) Accuracy 0.908 (0.902) loss_pose: 0.000187 loss_cons: 0.000362 -2023-07-29 08:41:34,509 Epoch: [287][300/631] Time 1.511s (1.580s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000648 (0.000567) Accuracy 0.895 (0.900) loss_pose: 0.000229 loss_cons: 0.000419 -2023-07-29 08:44:09,817 Epoch: [287][400/631] Time 1.514s (1.573s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000667 (0.000571) Accuracy 0.874 (0.899) loss_pose: 0.000199 loss_cons: 0.000468 -2023-07-29 08:46:45,566 Epoch: [287][500/631] Time 1.518s (1.570s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000634 (0.000569) Accuracy 0.863 (0.899) loss_pose: 0.000197 loss_cons: 0.000437 -2023-07-29 08:49:23,762 Epoch: [287][600/631] Time 1.600s (1.572s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000566 (0.000570) Accuracy 0.928 (0.899) loss_pose: 0.000169 loss_cons: 0.000396 -2023-07-29 08:50:09,584 Epoch: [287][630/631] Time 1.509s (1.570s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000544 (0.000569) Accuracy 0.936 (0.899) loss_pose: 0.000172 loss_cons: 0.000372 -2023-07-29 08:50:17,424 Test: [0/199] Time 5.701 (5.701) Loss 0.0002 (0.0002) Accuracy 0.919 (0.919) -2023-07-29 08:50:37,292 Test: [100/199] Time 0.197 (0.254) Loss 0.0002 (0.0002) Accuracy 0.914 (0.880) -2023-07-29 08:50:55,928 Test: [198/199] Time 0.139 (0.223) Loss 0.0002 (0.0002) Accuracy 0.892 (0.877) -2023-07-29 08:50:57,902 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 08:51:07,502 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:51:07,547 The Predictions of Net 1 -2023-07-29 08:51:07,547 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:51:07,548 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:51:07,549 | 256x192_pose_dual_101_d256d256d256 | 0.7480 | 0.9350 | 0.8257 | 0.7249 | 0.7850 | 0.7780 | 0.9400 | 0.8495 | 0.7464 | 0.8261 | -2023-07-29 08:51:08,256 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 08:51:13,074 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:51:13,112 The Predictions of Net 2 -2023-07-29 08:51:13,113 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:51:13,113 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:51:13,113 | 256x192_pose_dual_101_d256d256d256 | 0.7530 | 0.9360 | 0.8351 | 0.7283 | 0.7933 | 0.7821 | 0.9433 | 0.8501 | 0.7507 | 0.8304 | -2023-07-29 08:51:15,845 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 08:51:20,656 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 08:51:20,690 Ensemble Predictions -2023-07-29 08:51:20,691 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 08:51:20,692 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 08:51:20,692 | 256x192_pose_dual_101_d256d256d256 | 0.7595 | 0.9359 | 0.8368 | 0.7329 | 0.8018 | 0.7888 | 0.9444 | 0.8575 | 0.7574 | 0.8370 | -2023-07-29 08:51:20,693 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 08:51:29,535 Epoch: [288][0/631] Time 5.708s (5.708s) Speed 5.6 samples/s Data 4.004s (4.004s) Loss 0.000571 (0.000571) Accuracy 0.944 (0.944) loss_pose: 0.000180 loss_cons: 0.000391 -2023-07-29 08:54:05,499 Epoch: [288][100/631] Time 1.524s (1.601s) Speed 21.0 samples/s Data 0.000s (0.040s) Loss 0.000587 (0.000558) Accuracy 0.907 (0.901) loss_pose: 0.000171 loss_cons: 0.000416 -2023-07-29 08:56:39,927 Epoch: [288][200/631] Time 1.635s (1.573s) Speed 19.6 samples/s Data 0.000s (0.020s) Loss 0.000608 (0.000563) Accuracy 0.910 (0.901) loss_pose: 0.000194 loss_cons: 0.000414 -2023-07-29 08:59:15,992 Epoch: [288][300/631] Time 1.584s (1.569s) Speed 20.2 samples/s Data 0.000s (0.014s) Loss 0.000620 (0.000564) Accuracy 0.901 (0.902) loss_pose: 0.000176 loss_cons: 0.000444 -2023-07-29 09:01:51,151 Epoch: [288][400/631] Time 1.518s (1.564s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000541 (0.000566) Accuracy 0.919 (0.902) loss_pose: 0.000191 loss_cons: 0.000349 -2023-07-29 09:04:27,730 Epoch: [288][500/631] Time 1.524s (1.565s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000514 (0.000566) Accuracy 0.934 (0.901) loss_pose: 0.000183 loss_cons: 0.000331 -2023-07-29 09:07:01,604 Epoch: [288][600/631] Time 1.520s (1.560s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000615 (0.000566) Accuracy 0.901 (0.901) loss_pose: 0.000214 loss_cons: 0.000401 -2023-07-29 09:07:46,928 Epoch: [288][630/631] Time 1.505s (1.558s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000600 (0.000566) Accuracy 0.890 (0.901) loss_pose: 0.000226 loss_cons: 0.000374 -2023-07-29 09:07:54,195 Test: [0/199] Time 4.808 (4.808) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-29 09:08:15,307 Test: [100/199] Time 0.208 (0.258) Loss 0.0002 (0.0002) Accuracy 0.910 (0.882) -2023-07-29 09:08:34,132 Test: [198/199] Time 0.259 (0.225) Loss 0.0002 (0.0002) Accuracy 0.956 (0.879) -2023-07-29 09:08:35,631 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 09:08:44,963 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:08:45,002 The Predictions of Net 1 -2023-07-29 09:08:45,003 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:08:45,004 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:08:45,004 | 256x192_pose_dual_101_d256d256d256 | 0.7480 | 0.9354 | 0.8245 | 0.7239 | 0.7889 | 0.7785 | 0.9418 | 0.8451 | 0.7466 | 0.8271 | -2023-07-29 09:08:45,696 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 09:08:50,451 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:08:50,484 The Predictions of Net 2 -2023-07-29 09:08:50,485 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:08:50,486 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:08:50,486 | 256x192_pose_dual_101_d256d256d256 | 0.7459 | 0.9255 | 0.8259 | 0.7209 | 0.7872 | 0.7776 | 0.9397 | 0.8478 | 0.7455 | 0.8262 | -2023-07-29 09:08:51,171 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 09:08:55,944 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:08:55,979 Ensemble Predictions -2023-07-29 09:08:55,980 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:08:55,981 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:08:55,981 | 256x192_pose_dual_101_d256d256d256 | 0.7570 | 0.9355 | 0.8361 | 0.7314 | 0.7984 | 0.7876 | 0.9436 | 0.8544 | 0.7557 | 0.8361 | -2023-07-29 09:08:55,982 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 09:09:05,073 Epoch: [289][0/631] Time 5.948s (5.948s) Speed 5.4 samples/s Data 4.241s (4.241s) Loss 0.000514 (0.000514) Accuracy 0.908 (0.908) loss_pose: 0.000196 loss_cons: 0.000318 -2023-07-29 09:11:44,454 Epoch: [289][100/631] Time 1.537s (1.637s) Speed 20.8 samples/s Data 0.000s (0.042s) Loss 0.000475 (0.000557) Accuracy 0.928 (0.904) loss_pose: 0.000175 loss_cons: 0.000300 -2023-07-29 09:14:21,576 Epoch: [289][200/631] Time 1.549s (1.604s) Speed 20.7 samples/s Data 0.000s (0.022s) Loss 0.000631 (0.000564) Accuracy 0.874 (0.901) loss_pose: 0.000185 loss_cons: 0.000446 -2023-07-29 09:16:56,333 Epoch: [289][300/631] Time 1.527s (1.585s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000569 (0.000569) Accuracy 0.900 (0.901) loss_pose: 0.000189 loss_cons: 0.000380 -2023-07-29 09:19:31,027 Epoch: [289][400/631] Time 1.623s (1.576s) Speed 19.7 samples/s Data 0.000s (0.011s) Loss 0.000635 (0.000568) Accuracy 0.882 (0.901) loss_pose: 0.000228 loss_cons: 0.000406 -2023-07-29 09:22:06,136 Epoch: [289][500/631] Time 1.512s (1.571s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000513 (0.000568) Accuracy 0.887 (0.901) loss_pose: 0.000202 loss_cons: 0.000311 -2023-07-29 09:24:42,678 Epoch: [289][600/631] Time 1.597s (1.570s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000589 (0.000570) Accuracy 0.892 (0.901) loss_pose: 0.000200 loss_cons: 0.000389 -2023-07-29 09:25:29,182 Epoch: [289][630/631] Time 1.512s (1.569s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000569 (0.000570) Accuracy 0.884 (0.902) loss_pose: 0.000210 loss_cons: 0.000359 -2023-07-29 09:25:37,203 Test: [0/199] Time 5.672 (5.672) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-29 09:25:57,145 Test: [100/199] Time 0.200 (0.254) Loss 0.0002 (0.0002) Accuracy 0.918 (0.881) -2023-07-29 09:26:15,830 Test: [198/199] Time 0.145 (0.223) Loss 0.0002 (0.0002) Accuracy 0.960 (0.877) -2023-07-29 09:26:17,496 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 09:26:27,073 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:26:27,113 The Predictions of Net 1 -2023-07-29 09:26:27,114 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:26:27,114 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:26:27,114 | 256x192_pose_dual_101_d256d256d256 | 0.7471 | 0.9256 | 0.8246 | 0.7249 | 0.7883 | 0.7791 | 0.9389 | 0.8498 | 0.7472 | 0.8276 | -2023-07-29 09:26:27,816 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 09:26:32,664 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:26:32,709 The Predictions of Net 2 -2023-07-29 09:26:32,710 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:26:32,711 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:26:32,711 | 256x192_pose_dual_101_d256d256d256 | 0.7516 | 0.9257 | 0.8351 | 0.7256 | 0.7919 | 0.7810 | 0.9392 | 0.8501 | 0.7478 | 0.8311 | -2023-07-29 09:26:33,403 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 09:26:38,148 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:26:38,183 Ensemble Predictions -2023-07-29 09:26:38,184 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:26:38,185 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:26:38,185 | 256x192_pose_dual_101_d256d256d256 | 0.7585 | 0.9358 | 0.8361 | 0.7324 | 0.8006 | 0.7887 | 0.9435 | 0.8539 | 0.7557 | 0.8387 | -2023-07-29 09:26:38,185 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 09:26:47,154 Epoch: [290][0/631] Time 5.923s (5.923s) Speed 5.4 samples/s Data 4.201s (4.201s) Loss 0.000553 (0.000553) Accuracy 0.902 (0.902) loss_pose: 0.000209 loss_cons: 0.000343 -2023-07-29 09:29:24,321 Epoch: [290][100/631] Time 1.512s (1.615s) Speed 21.2 samples/s Data 0.000s (0.042s) Loss 0.000573 (0.000567) Accuracy 0.881 (0.895) loss_pose: 0.000213 loss_cons: 0.000361 -2023-07-29 09:31:59,772 Epoch: [290][200/631] Time 1.516s (1.585s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000564 (0.000567) Accuracy 0.882 (0.898) loss_pose: 0.000198 loss_cons: 0.000366 -2023-07-29 09:34:36,930 Epoch: [290][300/631] Time 1.524s (1.580s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000651 (0.000567) Accuracy 0.903 (0.900) loss_pose: 0.000204 loss_cons: 0.000447 -2023-07-29 09:37:11,698 Epoch: [290][400/631] Time 1.526s (1.572s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000608 (0.000567) Accuracy 0.906 (0.900) loss_pose: 0.000179 loss_cons: 0.000429 -2023-07-29 09:39:48,933 Epoch: [290][500/631] Time 1.613s (1.572s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000517 (0.000567) Accuracy 0.909 (0.900) loss_pose: 0.000170 loss_cons: 0.000347 -2023-07-29 09:42:23,854 Epoch: [290][600/631] Time 1.513s (1.568s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000580 (0.000567) Accuracy 0.913 (0.900) loss_pose: 0.000188 loss_cons: 0.000392 -2023-07-29 09:43:09,153 Epoch: [290][630/631] Time 1.503s (1.566s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000458 (0.000568) Accuracy 0.881 (0.900) loss_pose: 0.000196 loss_cons: 0.000262 -2023-07-29 09:43:16,235 Test: [0/199] Time 4.646 (4.646) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-29 09:43:36,904 Test: [100/199] Time 0.218 (0.253) Loss 0.0002 (0.0002) Accuracy 0.920 (0.880) -2023-07-29 09:43:55,577 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.934 (0.877) -2023-07-29 09:43:57,199 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 09:44:08,499 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:44:08,533 The Predictions of Net 1 -2023-07-29 09:44:08,534 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:44:08,534 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:44:08,534 | 256x192_pose_dual_101_d256d256d256 | 0.7514 | 0.9355 | 0.8250 | 0.7268 | 0.7919 | 0.7808 | 0.9422 | 0.8465 | 0.7492 | 0.8292 | -2023-07-29 09:44:09,222 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 09:44:14,008 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:44:14,047 The Predictions of Net 2 -2023-07-29 09:44:14,047 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:44:14,047 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:44:14,048 | 256x192_pose_dual_101_d256d256d256 | 0.7519 | 0.9356 | 0.8361 | 0.7265 | 0.7929 | 0.7815 | 0.9425 | 0.8526 | 0.7485 | 0.8315 | -2023-07-29 09:44:14,737 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 09:44:19,494 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 09:44:19,528 Ensemble Predictions -2023-07-29 09:44:19,529 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 09:44:19,530 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 09:44:19,530 | 256x192_pose_dual_101_d256d256d256 | 0.7611 | 0.9359 | 0.8368 | 0.7364 | 0.8026 | 0.7899 | 0.9460 | 0.8588 | 0.7582 | 0.8384 | -2023-07-29 09:44:19,531 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 09:44:28,927 Epoch: [291][0/631] Time 6.181s (6.181s) Speed 5.2 samples/s Data 4.499s (4.499s) Loss 0.000480 (0.000480) Accuracy 0.908 (0.908) loss_pose: 0.000185 loss_cons: 0.000296 -2023-07-29 09:47:04,561 Epoch: [291][100/631] Time 1.569s (1.602s) Speed 20.4 samples/s Data 0.000s (0.045s) Loss 0.000548 (0.000557) Accuracy 0.888 (0.900) loss_pose: 0.000217 loss_cons: 0.000331 -2023-07-29 09:49:40,647 Epoch: [291][200/631] Time 1.616s (1.582s) Speed 19.8 samples/s Data 0.000s (0.023s) Loss 0.000576 (0.000561) Accuracy 0.908 (0.899) loss_pose: 0.000222 loss_cons: 0.000355 -2023-07-29 09:52:15,534 Epoch: [291][300/631] Time 1.518s (1.571s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000566 (0.000564) Accuracy 0.866 (0.899) loss_pose: 0.000205 loss_cons: 0.000361 -2023-07-29 09:54:50,680 Epoch: [291][400/631] Time 1.607s (1.566s) Speed 19.9 samples/s Data 0.000s (0.012s) Loss 0.000528 (0.000567) Accuracy 0.929 (0.899) loss_pose: 0.000182 loss_cons: 0.000346 -2023-07-29 09:57:25,575 Epoch: [291][500/631] Time 1.517s (1.563s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000515 (0.000568) Accuracy 0.925 (0.900) loss_pose: 0.000185 loss_cons: 0.000330 -2023-07-29 09:59:59,247 Epoch: [291][600/631] Time 1.507s (1.558s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000656 (0.000567) Accuracy 0.912 (0.900) loss_pose: 0.000207 loss_cons: 0.000448 -2023-07-29 10:00:44,642 Epoch: [291][630/631] Time 1.508s (1.556s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000594 (0.000567) Accuracy 0.821 (0.900) loss_pose: 0.000267 loss_cons: 0.000327 -2023-07-29 10:00:53,046 Test: [0/199] Time 5.998 (5.998) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-29 10:01:13,085 Test: [100/199] Time 0.191 (0.258) Loss 0.0002 (0.0002) Accuracy 0.922 (0.880) -2023-07-29 10:01:32,008 Test: [198/199] Time 0.313 (0.226) Loss 0.0002 (0.0002) Accuracy 0.928 (0.877) -2023-07-29 10:01:33,289 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 10:01:42,453 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:01:42,500 The Predictions of Net 1 -2023-07-29 10:01:42,502 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:01:42,502 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:01:42,502 | 256x192_pose_dual_101_d256d256d256 | 0.7488 | 0.9352 | 0.8247 | 0.7263 | 0.7866 | 0.7806 | 0.9430 | 0.8482 | 0.7497 | 0.8275 | -2023-07-29 10:01:43,205 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 10:01:50,077 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:01:50,114 The Predictions of Net 2 -2023-07-29 10:01:50,115 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:01:50,116 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:01:50,116 | 256x192_pose_dual_101_d256d256d256 | 0.7502 | 0.9256 | 0.8351 | 0.7259 | 0.7915 | 0.7807 | 0.9384 | 0.8501 | 0.7483 | 0.8298 | -2023-07-29 10:01:50,803 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 10:01:55,608 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:01:55,643 Ensemble Predictions -2023-07-29 10:01:55,644 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:01:55,645 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:01:55,645 | 256x192_pose_dual_101_d256d256d256 | 0.7593 | 0.9357 | 0.8367 | 0.7335 | 0.8023 | 0.7897 | 0.9451 | 0.8589 | 0.7577 | 0.8384 | -2023-07-29 10:01:55,646 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 10:02:04,812 Epoch: [292][0/631] Time 6.201s (6.201s) Speed 5.2 samples/s Data 4.530s (4.530s) Loss 0.000501 (0.000501) Accuracy 0.931 (0.931) loss_pose: 0.000154 loss_cons: 0.000347 -2023-07-29 10:04:39,199 Epoch: [292][100/631] Time 1.529s (1.590s) Speed 20.9 samples/s Data 0.000s (0.045s) Loss 0.000662 (0.000564) Accuracy 0.906 (0.904) loss_pose: 0.000178 loss_cons: 0.000484 -2023-07-29 10:07:12,898 Epoch: [292][200/631] Time 1.516s (1.564s) Speed 21.1 samples/s Data 0.000s (0.023s) Loss 0.000582 (0.000565) Accuracy 0.910 (0.904) loss_pose: 0.000192 loss_cons: 0.000389 -2023-07-29 10:09:47,610 Epoch: [292][300/631] Time 1.613s (1.558s) Speed 19.8 samples/s Data 0.000s (0.015s) Loss 0.000588 (0.000565) Accuracy 0.917 (0.902) loss_pose: 0.000172 loss_cons: 0.000415 -2023-07-29 10:12:26,135 Epoch: [292][400/631] Time 1.519s (1.565s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000579 (0.000567) Accuracy 0.901 (0.903) loss_pose: 0.000194 loss_cons: 0.000385 -2023-07-29 10:15:06,402 Epoch: [292][500/631] Time 1.640s (1.572s) Speed 19.5 samples/s Data 0.000s (0.009s) Loss 0.000502 (0.000568) Accuracy 0.914 (0.902) loss_pose: 0.000171 loss_cons: 0.000331 -2023-07-29 10:17:48,543 Epoch: [292][600/631] Time 1.599s (1.581s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000582 (0.000568) Accuracy 0.937 (0.901) loss_pose: 0.000171 loss_cons: 0.000411 -2023-07-29 10:18:33,994 Epoch: [292][630/631] Time 1.528s (1.577s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000494 (0.000568) Accuracy 0.902 (0.901) loss_pose: 0.000177 loss_cons: 0.000316 -2023-07-29 10:18:41,755 Test: [0/199] Time 5.577 (5.577) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 10:19:01,660 Test: [100/199] Time 0.197 (0.253) Loss 0.0002 (0.0002) Accuracy 0.911 (0.882) -2023-07-29 10:19:20,260 Test: [198/199] Time 0.133 (0.222) Loss 0.0002 (0.0002) Accuracy 0.922 (0.879) -2023-07-29 10:19:21,730 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 10:19:31,359 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:19:31,398 The Predictions of Net 1 -2023-07-29 10:19:31,399 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:19:31,399 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:19:31,399 | 256x192_pose_dual_101_d256d256d256 | 0.7515 | 0.9356 | 0.8346 | 0.7264 | 0.7935 | 0.7818 | 0.9425 | 0.8504 | 0.7496 | 0.8305 | -2023-07-29 10:19:32,094 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 10:19:36,795 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:19:36,827 The Predictions of Net 2 -2023-07-29 10:19:36,828 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:19:36,829 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:19:36,829 | 256x192_pose_dual_101_d256d256d256 | 0.7530 | 0.9348 | 0.8348 | 0.7293 | 0.7912 | 0.7825 | 0.9410 | 0.8509 | 0.7508 | 0.8311 | -2023-07-29 10:19:37,513 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 10:19:44,300 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:19:44,333 Ensemble Predictions -2023-07-29 10:19:44,334 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:19:44,335 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:19:44,335 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9356 | 0.8367 | 0.7351 | 0.8043 | 0.7909 | 0.9444 | 0.8583 | 0.7589 | 0.8394 | -2023-07-29 10:19:44,336 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 10:19:53,579 Epoch: [293][0/631] Time 5.245s (5.245s) Speed 6.1 samples/s Data 3.534s (3.534s) Loss 0.000540 (0.000540) Accuracy 0.937 (0.937) loss_pose: 0.000199 loss_cons: 0.000341 -2023-07-29 10:22:28,243 Epoch: [293][100/631] Time 1.517s (1.583s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000501 (0.000559) Accuracy 0.895 (0.901) loss_pose: 0.000206 loss_cons: 0.000295 -2023-07-29 10:25:04,054 Epoch: [293][200/631] Time 1.538s (1.571s) Speed 20.8 samples/s Data 0.001s (0.018s) Loss 0.000474 (0.000560) Accuracy 0.936 (0.903) loss_pose: 0.000159 loss_cons: 0.000315 -2023-07-29 10:27:38,652 Epoch: [293][300/631] Time 1.521s (1.563s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000579 (0.000561) Accuracy 0.905 (0.902) loss_pose: 0.000194 loss_cons: 0.000385 -2023-07-29 10:30:13,537 Epoch: [293][400/631] Time 1.524s (1.559s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000602 (0.000566) Accuracy 0.883 (0.902) loss_pose: 0.000218 loss_cons: 0.000384 -2023-07-29 10:32:46,713 Epoch: [293][500/631] Time 1.519s (1.554s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000623 (0.000564) Accuracy 0.871 (0.902) loss_pose: 0.000229 loss_cons: 0.000394 -2023-07-29 10:35:20,116 Epoch: [293][600/631] Time 1.611s (1.550s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000567 (0.000563) Accuracy 0.896 (0.902) loss_pose: 0.000205 loss_cons: 0.000362 -2023-07-29 10:36:08,117 Epoch: [293][630/631] Time 1.594s (1.553s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000549 (0.000563) Accuracy 0.935 (0.902) loss_pose: 0.000191 loss_cons: 0.000358 -2023-07-29 10:36:14,876 Test: [0/199] Time 4.454 (4.454) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-29 10:36:35,592 Test: [100/199] Time 0.198 (0.253) Loss 0.0002 (0.0002) Accuracy 0.907 (0.881) -2023-07-29 10:36:54,249 Test: [198/199] Time 0.157 (0.222) Loss 0.0002 (0.0002) Accuracy 0.921 (0.878) -2023-07-29 10:36:55,960 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 10:37:05,409 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:37:05,453 The Predictions of Net 1 -2023-07-29 10:37:05,454 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:37:05,455 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:37:05,455 | 256x192_pose_dual_101_d256d256d256 | 0.7477 | 0.9354 | 0.8253 | 0.7251 | 0.7859 | 0.7792 | 0.9418 | 0.8467 | 0.7491 | 0.8255 | -2023-07-29 10:37:06,160 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 10:37:11,015 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:37:11,052 The Predictions of Net 2 -2023-07-29 10:37:11,052 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:37:11,053 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:37:11,053 | 256x192_pose_dual_101_d256d256d256 | 0.7493 | 0.9252 | 0.8345 | 0.7234 | 0.7920 | 0.7804 | 0.9372 | 0.8522 | 0.7474 | 0.8302 | -2023-07-29 10:37:11,753 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 10:37:16,578 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:37:16,613 Ensemble Predictions -2023-07-29 10:37:16,613 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:37:16,613 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:37:16,614 | 256x192_pose_dual_101_d256d256d256 | 0.7575 | 0.9359 | 0.8370 | 0.7325 | 0.7985 | 0.7879 | 0.9425 | 0.8571 | 0.7565 | 0.8356 | -2023-07-29 10:37:16,615 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 10:37:24,871 Epoch: [294][0/631] Time 5.212s (5.212s) Speed 6.1 samples/s Data 3.403s (3.403s) Loss 0.000543 (0.000543) Accuracy 0.891 (0.891) loss_pose: 0.000196 loss_cons: 0.000347 -2023-07-29 10:40:01,224 Epoch: [294][100/631] Time 1.603s (1.600s) Speed 20.0 samples/s Data 0.000s (0.034s) Loss 0.000507 (0.000560) Accuracy 0.880 (0.903) loss_pose: 0.000184 loss_cons: 0.000323 -2023-07-29 10:42:37,002 Epoch: [294][200/631] Time 1.517s (1.579s) Speed 21.1 samples/s Data 0.001s (0.017s) Loss 0.000489 (0.000557) Accuracy 0.917 (0.902) loss_pose: 0.000183 loss_cons: 0.000306 -2023-07-29 10:45:12,606 Epoch: [294][300/631] Time 1.611s (1.571s) Speed 19.9 samples/s Data 0.000s (0.012s) Loss 0.000665 (0.000560) Accuracy 0.913 (0.903) loss_pose: 0.000187 loss_cons: 0.000478 -2023-07-29 10:47:47,725 Epoch: [294][400/631] Time 1.517s (1.566s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000529 (0.000564) Accuracy 0.882 (0.903) loss_pose: 0.000186 loss_cons: 0.000343 -2023-07-29 10:50:23,708 Epoch: [294][500/631] Time 1.606s (1.565s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000514 (0.000565) Accuracy 0.895 (0.902) loss_pose: 0.000166 loss_cons: 0.000349 -2023-07-29 10:53:00,046 Epoch: [294][600/631] Time 1.507s (1.565s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000518 (0.000566) Accuracy 0.894 (0.901) loss_pose: 0.000216 loss_cons: 0.000302 -2023-07-29 10:53:45,402 Epoch: [294][630/631] Time 1.502s (1.562s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000477 (0.000566) Accuracy 0.888 (0.901) loss_pose: 0.000187 loss_cons: 0.000290 -2023-07-29 10:53:52,220 Test: [0/199] Time 4.452 (4.452) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-29 10:54:13,084 Test: [100/199] Time 0.191 (0.252) Loss 0.0002 (0.0002) Accuracy 0.914 (0.881) -2023-07-29 10:54:31,939 Test: [198/199] Time 0.144 (0.223) Loss 0.0002 (0.0002) Accuracy 0.932 (0.878) -2023-07-29 10:54:33,966 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 10:54:43,856 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:54:43,895 The Predictions of Net 1 -2023-07-29 10:54:43,896 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:54:43,896 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:54:43,896 | 256x192_pose_dual_101_d256d256d256 | 0.7490 | 0.9356 | 0.8256 | 0.7264 | 0.7896 | 0.7806 | 0.9440 | 0.8490 | 0.7496 | 0.8279 | -2023-07-29 10:54:44,594 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 10:54:49,439 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:54:49,475 The Predictions of Net 2 -2023-07-29 10:54:49,475 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:54:49,476 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:54:49,476 | 256x192_pose_dual_101_d256d256d256 | 0.7508 | 0.9352 | 0.8347 | 0.7277 | 0.7905 | 0.7820 | 0.9432 | 0.8512 | 0.7518 | 0.8286 | -2023-07-29 10:54:50,166 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 10:54:55,019 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 10:54:55,055 Ensemble Predictions -2023-07-29 10:54:55,056 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 10:54:55,056 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 10:54:55,056 | 256x192_pose_dual_101_d256d256d256 | 0.7582 | 0.9356 | 0.8360 | 0.7363 | 0.7983 | 0.7891 | 0.9446 | 0.8582 | 0.7589 | 0.8353 | -2023-07-29 10:54:55,057 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 10:55:04,089 Epoch: [295][0/631] Time 5.807s (5.807s) Speed 5.5 samples/s Data 4.119s (4.119s) Loss 0.000525 (0.000525) Accuracy 0.912 (0.912) loss_pose: 0.000202 loss_cons: 0.000324 -2023-07-29 10:57:40,112 Epoch: [295][100/631] Time 1.594s (1.602s) Speed 20.1 samples/s Data 0.001s (0.041s) Loss 0.000466 (0.000564) Accuracy 0.939 (0.898) loss_pose: 0.000150 loss_cons: 0.000316 -2023-07-29 11:00:17,472 Epoch: [295][200/631] Time 1.516s (1.588s) Speed 21.1 samples/s Data 0.002s (0.021s) Loss 0.000537 (0.000568) Accuracy 0.874 (0.901) loss_pose: 0.000177 loss_cons: 0.000360 -2023-07-29 11:02:53,175 Epoch: [295][300/631] Time 1.614s (1.578s) Speed 19.8 samples/s Data 0.000s (0.014s) Loss 0.000788 (0.000568) Accuracy 0.882 (0.901) loss_pose: 0.000207 loss_cons: 0.000581 -2023-07-29 11:05:29,221 Epoch: [295][400/631] Time 1.527s (1.573s) Speed 21.0 samples/s Data 0.001s (0.011s) Loss 0.000612 (0.000605) Accuracy 0.888 (0.891) loss_pose: 0.000195 loss_cons: 0.000416 -2023-07-29 11:08:04,538 Epoch: [295][500/631] Time 1.538s (1.569s) Speed 20.8 samples/s Data 0.000s (0.009s) Loss 0.000581 (0.000611) Accuracy 0.892 (0.888) loss_pose: 0.000192 loss_cons: 0.000389 -2023-07-29 11:10:38,880 Epoch: [295][600/631] Time 1.513s (1.565s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000658 (0.000611) Accuracy 0.847 (0.887) loss_pose: 0.000239 loss_cons: 0.000420 -2023-07-29 11:11:24,334 Epoch: [295][630/631] Time 1.542s (1.563s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.000574 (0.000611) Accuracy 0.862 (0.887) loss_pose: 0.000209 loss_cons: 0.000365 -2023-07-29 11:11:31,867 Test: [0/199] Time 5.071 (5.071) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 11:11:51,970 Test: [100/199] Time 0.197 (0.251) Loss 0.0002 (0.0002) Accuracy 0.890 (0.874) -2023-07-29 11:12:10,558 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.905 (0.872) -2023-07-29 11:12:12,283 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 11:12:24,030 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:12:24,068 The Predictions of Net 1 -2023-07-29 11:12:24,069 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:12:24,069 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:12:24,069 | 256x192_pose_dual_101_d256d256d256 | 0.7373 | 0.9256 | 0.8154 | 0.7129 | 0.7779 | 0.7682 | 0.9367 | 0.8360 | 0.7358 | 0.8169 | -2023-07-29 11:12:24,760 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 11:12:29,560 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:12:29,595 The Predictions of Net 2 -2023-07-29 11:12:29,596 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:12:29,596 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:12:29,596 | 256x192_pose_dual_101_d256d256d256 | 0.7524 | 0.9356 | 0.8351 | 0.7256 | 0.7926 | 0.7812 | 0.9411 | 0.8511 | 0.7491 | 0.8296 | -2023-07-29 11:12:30,284 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 11:12:35,145 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:12:35,180 Ensemble Predictions -2023-07-29 11:12:35,181 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:12:35,181 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:12:35,182 | 256x192_pose_dual_101_d256d256d256 | 0.7559 | 0.9360 | 0.8366 | 0.7303 | 0.7969 | 0.7846 | 0.9424 | 0.8523 | 0.7528 | 0.8329 | -2023-07-29 11:12:35,182 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 11:12:44,402 Epoch: [296][0/631] Time 6.063s (6.063s) Speed 5.3 samples/s Data 4.376s (4.376s) Loss 0.000568 (0.000568) Accuracy 0.876 (0.876) loss_pose: 0.000192 loss_cons: 0.000376 -2023-07-29 11:15:18,909 Epoch: [296][100/631] Time 1.555s (1.590s) Speed 20.6 samples/s Data 0.000s (0.044s) Loss 0.000592 (0.000588) Accuracy 0.893 (0.885) loss_pose: 0.000187 loss_cons: 0.000405 -2023-07-29 11:17:53,135 Epoch: [296][200/631] Time 1.525s (1.566s) Speed 21.0 samples/s Data 0.000s (0.022s) Loss 0.000661 (0.000588) Accuracy 0.915 (0.892) loss_pose: 0.000154 loss_cons: 0.000506 -2023-07-29 11:20:27,565 Epoch: [296][300/631] Time 1.531s (1.559s) Speed 20.9 samples/s Data 0.000s (0.015s) Loss 0.000714 (0.000586) Accuracy 0.860 (0.892) loss_pose: 0.000217 loss_cons: 0.000497 -2023-07-29 11:23:00,851 Epoch: [296][400/631] Time 1.513s (1.552s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000570 (0.000587) Accuracy 0.913 (0.892) loss_pose: 0.000177 loss_cons: 0.000393 -2023-07-29 11:25:33,909 Epoch: [296][500/631] Time 1.522s (1.548s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000522 (0.000586) Accuracy 0.938 (0.893) loss_pose: 0.000179 loss_cons: 0.000342 -2023-07-29 11:28:07,225 Epoch: [296][600/631] Time 1.509s (1.546s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000672 (0.000585) Accuracy 0.858 (0.894) loss_pose: 0.000181 loss_cons: 0.000490 -2023-07-29 11:28:52,513 Epoch: [296][630/631] Time 1.517s (1.544s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000523 (0.000584) Accuracy 0.880 (0.894) loss_pose: 0.000202 loss_cons: 0.000322 -2023-07-29 11:29:00,644 Test: [0/199] Time 6.147 (6.147) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-29 11:29:20,538 Test: [100/199] Time 0.207 (0.258) Loss 0.0002 (0.0002) Accuracy 0.899 (0.878) -2023-07-29 11:29:39,524 Test: [198/199] Time 0.258 (0.226) Loss 0.0002 (0.0002) Accuracy 0.922 (0.876) -2023-07-29 11:29:41,077 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 11:29:50,430 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:29:50,468 The Predictions of Net 1 -2023-07-29 11:29:50,469 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:29:50,469 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:29:50,469 | 256x192_pose_dual_101_d256d256d256 | 0.7457 | 0.9352 | 0.8243 | 0.7191 | 0.7862 | 0.7755 | 0.9410 | 0.8415 | 0.7428 | 0.8250 | -2023-07-29 11:29:51,167 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 11:29:55,909 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:29:55,941 The Predictions of Net 2 -2023-07-29 11:29:55,942 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:29:55,942 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:29:55,943 | 256x192_pose_dual_101_d256d256d256 | 0.7509 | 0.9256 | 0.8346 | 0.7240 | 0.7929 | 0.7810 | 0.9397 | 0.8508 | 0.7482 | 0.8309 | -2023-07-29 11:29:58,728 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 11:30:03,567 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:30:03,602 Ensemble Predictions -2023-07-29 11:30:03,603 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:30:03,603 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:30:03,603 | 256x192_pose_dual_101_d256d256d256 | 0.7568 | 0.9356 | 0.8353 | 0.7319 | 0.7996 | 0.7876 | 0.9435 | 0.8534 | 0.7552 | 0.8366 | -2023-07-29 11:30:03,605 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 11:30:12,084 Epoch: [297][0/631] Time 5.467s (5.467s) Speed 5.9 samples/s Data 3.752s (3.752s) Loss 0.000531 (0.000531) Accuracy 0.866 (0.866) loss_pose: 0.000184 loss_cons: 0.000347 -2023-07-29 11:32:47,380 Epoch: [297][100/631] Time 1.521s (1.592s) Speed 21.0 samples/s Data 0.000s (0.038s) Loss 0.000523 (0.000566) Accuracy 0.893 (0.900) loss_pose: 0.000190 loss_cons: 0.000333 -2023-07-29 11:35:20,921 Epoch: [297][200/631] Time 1.517s (1.564s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000598 (0.000563) Accuracy 0.881 (0.899) loss_pose: 0.000200 loss_cons: 0.000397 -2023-07-29 11:37:54,277 Epoch: [297][300/631] Time 1.561s (1.554s) Speed 20.5 samples/s Data 0.000s (0.013s) Loss 0.000679 (0.000566) Accuracy 0.919 (0.900) loss_pose: 0.000191 loss_cons: 0.000488 -2023-07-29 11:40:28,171 Epoch: [297][400/631] Time 1.595s (1.550s) Speed 20.1 samples/s Data 0.000s (0.010s) Loss 0.000560 (0.000567) Accuracy 0.902 (0.900) loss_pose: 0.000181 loss_cons: 0.000379 -2023-07-29 11:43:03,412 Epoch: [297][500/631] Time 1.523s (1.550s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000565 (0.000568) Accuracy 0.886 (0.900) loss_pose: 0.000175 loss_cons: 0.000390 -2023-07-29 11:45:37,381 Epoch: [297][600/631] Time 1.517s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000649 (0.000569) Accuracy 0.934 (0.900) loss_pose: 0.000188 loss_cons: 0.000461 -2023-07-29 11:46:25,204 Epoch: [297][630/631] Time 1.598s (1.551s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000516 (0.000568) Accuracy 0.879 (0.900) loss_pose: 0.000172 loss_cons: 0.000344 -2023-07-29 11:46:33,145 Test: [0/199] Time 5.572 (5.572) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 11:46:53,163 Test: [100/199] Time 0.210 (0.254) Loss 0.0002 (0.0002) Accuracy 0.903 (0.881) -2023-07-29 11:47:11,992 Test: [198/199] Time 0.156 (0.224) Loss 0.0002 (0.0002) Accuracy 0.903 (0.879) -2023-07-29 11:47:13,990 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 11:47:23,389 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:47:23,430 The Predictions of Net 1 -2023-07-29 11:47:23,430 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:47:23,431 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:47:23,432 | 256x192_pose_dual_101_d256d256d256 | 0.7499 | 0.9358 | 0.8270 | 0.7256 | 0.7905 | 0.7798 | 0.9425 | 0.8479 | 0.7483 | 0.8276 | -2023-07-29 11:47:24,129 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 11:47:28,959 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:47:28,997 The Predictions of Net 2 -2023-07-29 11:47:28,998 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:47:28,999 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:47:28,999 | 256x192_pose_dual_101_d256d256d256 | 0.7496 | 0.9256 | 0.8356 | 0.7248 | 0.7946 | 0.7808 | 0.9397 | 0.8530 | 0.7474 | 0.8312 | -2023-07-29 11:47:29,691 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 11:47:34,520 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 11:47:34,554 Ensemble Predictions -2023-07-29 11:47:34,555 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 11:47:34,556 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 11:47:34,556 | 256x192_pose_dual_101_d256d256d256 | 0.7607 | 0.9358 | 0.8382 | 0.7344 | 0.8025 | 0.7901 | 0.9443 | 0.8577 | 0.7584 | 0.8383 | -2023-07-29 11:47:34,557 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 11:47:43,505 Epoch: [298][0/631] Time 5.709s (5.709s) Speed 5.6 samples/s Data 3.971s (3.971s) Loss 0.000607 (0.000607) Accuracy 0.881 (0.881) loss_pose: 0.000187 loss_cons: 0.000420 -2023-07-29 11:50:18,040 Epoch: [298][100/631] Time 1.609s (1.587s) Speed 19.9 samples/s Data 0.000s (0.040s) Loss 0.000513 (0.000577) Accuracy 0.921 (0.896) loss_pose: 0.000155 loss_cons: 0.000358 -2023-07-29 11:52:54,935 Epoch: [298][200/631] Time 1.526s (1.578s) Speed 21.0 samples/s Data 0.000s (0.020s) Loss 0.000573 (0.000571) Accuracy 0.919 (0.898) loss_pose: 0.000181 loss_cons: 0.000392 -2023-07-29 11:55:29,200 Epoch: [298][300/631] Time 1.589s (1.566s) Speed 20.1 samples/s Data 0.000s (0.014s) Loss 0.000638 (0.000570) Accuracy 0.910 (0.898) loss_pose: 0.000185 loss_cons: 0.000453 -2023-07-29 11:58:03,690 Epoch: [298][400/631] Time 1.516s (1.561s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000647 (0.000571) Accuracy 0.876 (0.899) loss_pose: 0.000222 loss_cons: 0.000424 -2023-07-29 12:00:36,784 Epoch: [298][500/631] Time 1.520s (1.555s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000507 (0.000570) Accuracy 0.901 (0.899) loss_pose: 0.000197 loss_cons: 0.000310 -2023-07-29 12:03:11,040 Epoch: [298][600/631] Time 1.518s (1.553s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000551 (0.000570) Accuracy 0.917 (0.900) loss_pose: 0.000199 loss_cons: 0.000352 -2023-07-29 12:03:58,619 Epoch: [298][630/631] Time 1.590s (1.554s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000522 (0.000569) Accuracy 0.920 (0.900) loss_pose: 0.000171 loss_cons: 0.000352 -2023-07-29 12:04:06,317 Test: [0/199] Time 5.573 (5.573) Loss 0.0002 (0.0002) Accuracy 0.902 (0.902) -2023-07-29 12:04:26,623 Test: [100/199] Time 0.196 (0.257) Loss 0.0002 (0.0002) Accuracy 0.913 (0.880) -2023-07-29 12:04:45,662 Test: [198/199] Time 0.254 (0.226) Loss 0.0002 (0.0002) Accuracy 0.924 (0.878) -2023-07-29 12:04:46,984 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 12:04:56,724 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:04:56,759 The Predictions of Net 1 -2023-07-29 12:04:56,759 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:04:56,760 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:04:56,760 | 256x192_pose_dual_101_d256d256d256 | 0.7496 | 0.9258 | 0.8263 | 0.7267 | 0.7886 | 0.7798 | 0.9395 | 0.8489 | 0.7485 | 0.8277 | -2023-07-29 12:04:57,453 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 12:05:02,282 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:05:02,324 The Predictions of Net 2 -2023-07-29 12:05:02,325 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:05:02,325 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:05:02,325 | 256x192_pose_dual_101_d256d256d256 | 0.7518 | 0.9353 | 0.8348 | 0.7253 | 0.7940 | 0.7818 | 0.9419 | 0.8517 | 0.7489 | 0.8320 | -2023-07-29 12:05:03,014 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 12:05:07,880 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:05:07,917 Ensemble Predictions -2023-07-29 12:05:07,918 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:05:07,918 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:05:07,919 | 256x192_pose_dual_101_d256d256d256 | 0.7587 | 0.9356 | 0.8364 | 0.7320 | 0.8008 | 0.7881 | 0.9432 | 0.8555 | 0.7561 | 0.8371 | -2023-07-29 12:05:07,920 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 12:05:16,272 Epoch: [299][0/631] Time 5.273s (5.273s) Speed 6.1 samples/s Data 3.559s (3.559s) Loss 0.000589 (0.000589) Accuracy 0.820 (0.820) loss_pose: 0.000247 loss_cons: 0.000342 -2023-07-29 12:07:52,630 Epoch: [299][100/631] Time 1.518s (1.600s) Speed 21.1 samples/s Data 0.000s (0.036s) Loss 0.000591 (0.000558) Accuracy 0.882 (0.900) loss_pose: 0.000192 loss_cons: 0.000399 -2023-07-29 12:10:28,843 Epoch: [299][200/631] Time 1.603s (1.581s) Speed 20.0 samples/s Data 0.000s (0.018s) Loss 0.000548 (0.000560) Accuracy 0.894 (0.899) loss_pose: 0.000202 loss_cons: 0.000346 -2023-07-29 12:13:03,472 Epoch: [299][300/631] Time 1.518s (1.570s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000676 (0.000560) Accuracy 0.911 (0.901) loss_pose: 0.000207 loss_cons: 0.000468 -2023-07-29 12:15:39,231 Epoch: [299][400/631] Time 1.607s (1.567s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000557 (0.000561) Accuracy 0.873 (0.901) loss_pose: 0.000216 loss_cons: 0.000341 -2023-07-29 12:18:14,460 Epoch: [299][500/631] Time 1.642s (1.564s) Speed 19.5 samples/s Data 0.000s (0.007s) Loss 0.000530 (0.000562) Accuracy 0.862 (0.901) loss_pose: 0.000204 loss_cons: 0.000327 -2023-07-29 12:20:49,241 Epoch: [299][600/631] Time 1.519s (1.561s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000542 (0.000562) Accuracy 0.849 (0.900) loss_pose: 0.000201 loss_cons: 0.000341 -2023-07-29 12:21:34,839 Epoch: [299][630/631] Time 1.602s (1.559s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000467 (0.000562) Accuracy 0.920 (0.901) loss_pose: 0.000174 loss_cons: 0.000293 -2023-07-29 12:21:43,061 Test: [0/199] Time 6.039 (6.039) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-29 12:22:02,904 Test: [100/199] Time 0.202 (0.256) Loss 0.0002 (0.0002) Accuracy 0.915 (0.882) -2023-07-29 12:22:21,604 Test: [198/199] Time 0.147 (0.224) Loss 0.0002 (0.0002) Accuracy 0.927 (0.879) -2023-07-29 12:22:23,312 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 12:22:34,818 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:22:34,856 The Predictions of Net 1 -2023-07-29 12:22:34,857 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:22:34,857 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:22:34,857 | 256x192_pose_dual_101_d256d256d256 | 0.7514 | 0.9351 | 0.8252 | 0.7250 | 0.7926 | 0.7812 | 0.9402 | 0.8478 | 0.7484 | 0.8311 | -2023-07-29 12:22:35,560 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 12:22:40,447 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:22:40,486 The Predictions of Net 2 -2023-07-29 12:22:40,486 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:22:40,487 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:22:40,487 | 256x192_pose_dual_101_d256d256d256 | 0.7543 | 0.9353 | 0.8351 | 0.7281 | 0.7944 | 0.7825 | 0.9414 | 0.8515 | 0.7498 | 0.8321 | -2023-07-29 12:22:41,190 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 12:22:45,952 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:22:45,985 Ensemble Predictions -2023-07-29 12:22:45,985 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:22:45,986 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:22:45,986 | 256x192_pose_dual_101_d256d256d256 | 0.7621 | 0.9357 | 0.8369 | 0.7355 | 0.8022 | 0.7900 | 0.9424 | 0.8582 | 0.7582 | 0.8385 | -2023-07-29 12:22:45,987 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 12:22:56,226 Epoch: [300][0/631] Time 6.099s (6.099s) Speed 5.2 samples/s Data 4.390s (4.390s) Loss 0.000584 (0.000584) Accuracy 0.859 (0.859) loss_pose: 0.000225 loss_cons: 0.000359 -2023-07-29 12:25:31,430 Epoch: [300][100/631] Time 1.518s (1.597s) Speed 21.1 samples/s Data 0.000s (0.044s) Loss 0.000513 (0.000550) Accuracy 0.918 (0.904) loss_pose: 0.000158 loss_cons: 0.000355 -2023-07-29 12:28:07,362 Epoch: [300][200/631] Time 1.548s (1.578s) Speed 20.7 samples/s Data 0.000s (0.022s) Loss 0.000544 (0.000550) Accuracy 0.898 (0.902) loss_pose: 0.000205 loss_cons: 0.000339 -2023-07-29 12:30:42,575 Epoch: [300][300/631] Time 1.540s (1.570s) Speed 20.8 samples/s Data 0.000s (0.015s) Loss 0.000518 (0.000547) Accuracy 0.891 (0.904) loss_pose: 0.000165 loss_cons: 0.000354 -2023-07-29 12:33:16,519 Epoch: [300][400/631] Time 1.535s (1.562s) Speed 20.8 samples/s Data 0.000s (0.011s) Loss 0.000507 (0.000545) Accuracy 0.914 (0.903) loss_pose: 0.000184 loss_cons: 0.000324 -2023-07-29 12:35:50,652 Epoch: [300][500/631] Time 1.523s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000542 (0.000544) Accuracy 0.905 (0.903) loss_pose: 0.000196 loss_cons: 0.000345 -2023-07-29 12:38:24,105 Epoch: [300][600/631] Time 1.507s (1.554s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000542 (0.000545) Accuracy 0.899 (0.904) loss_pose: 0.000188 loss_cons: 0.000354 -2023-07-29 12:39:09,604 Epoch: [300][630/631] Time 1.512s (1.552s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000511 (0.000545) Accuracy 0.916 (0.904) loss_pose: 0.000175 loss_cons: 0.000335 -2023-07-29 12:39:17,594 Test: [0/199] Time 5.711 (5.711) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-29 12:39:37,699 Test: [100/199] Time 0.204 (0.256) Loss 0.0002 (0.0002) Accuracy 0.939 (0.885) -2023-07-29 12:39:56,467 Test: [198/199] Time 0.209 (0.224) Loss 0.0002 (0.0002) Accuracy 0.924 (0.882) -2023-07-29 12:39:58,289 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 12:40:07,813 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:40:07,858 The Predictions of Net 1 -2023-07-29 12:40:07,859 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:40:07,860 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:40:07,860 | 256x192_pose_dual_101_d256d256d256 | 0.7555 | 0.9352 | 0.8349 | 0.7302 | 0.7959 | 0.7851 | 0.9419 | 0.8504 | 0.7530 | 0.8342 | -2023-07-29 12:40:08,638 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 12:40:15,664 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:40:15,697 The Predictions of Net 2 -2023-07-29 12:40:15,697 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:40:15,698 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:40:15,699 | 256x192_pose_dual_101_d256d256d256 | 0.7570 | 0.9354 | 0.8363 | 0.7309 | 0.7992 | 0.7873 | 0.9427 | 0.8561 | 0.7545 | 0.8369 | -2023-07-29 12:40:16,394 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 12:40:21,189 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:40:21,223 Ensemble Predictions -2023-07-29 12:40:21,224 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:40:21,225 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:40:21,225 | 256x192_pose_dual_101_d256d256d256 | 0.7652 | 0.9357 | 0.8473 | 0.7377 | 0.8064 | 0.7929 | 0.9435 | 0.8618 | 0.7607 | 0.8425 | -2023-07-29 12:40:21,226 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 12:40:31,613 Epoch: [301][0/631] Time 6.200s (6.200s) Speed 5.2 samples/s Data 4.460s (4.460s) Loss 0.000493 (0.000493) Accuracy 0.876 (0.876) loss_pose: 0.000201 loss_cons: 0.000292 -2023-07-29 12:43:07,589 Epoch: [301][100/631] Time 1.609s (1.606s) Speed 19.9 samples/s Data 0.000s (0.045s) Loss 0.000606 (0.000545) Accuracy 0.917 (0.900) loss_pose: 0.000205 loss_cons: 0.000401 -2023-07-29 12:45:41,161 Epoch: [301][200/631] Time 1.522s (1.571s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000451 (0.000544) Accuracy 0.939 (0.900) loss_pose: 0.000139 loss_cons: 0.000312 -2023-07-29 12:48:14,634 Epoch: [301][300/631] Time 1.518s (1.559s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000602 (0.000543) Accuracy 0.921 (0.902) loss_pose: 0.000188 loss_cons: 0.000414 -2023-07-29 12:50:57,298 Epoch: [301][400/631] Time 1.540s (1.576s) Speed 20.8 samples/s Data 0.000s (0.011s) Loss 0.000487 (0.000544) Accuracy 0.899 (0.902) loss_pose: 0.000197 loss_cons: 0.000290 -2023-07-29 12:53:33,908 Epoch: [301][500/631] Time 1.520s (1.574s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000529 (0.000541) Accuracy 0.893 (0.903) loss_pose: 0.000213 loss_cons: 0.000316 -2023-07-29 12:56:13,738 Epoch: [301][600/631] Time 1.529s (1.578s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000518 (0.000540) Accuracy 0.927 (0.903) loss_pose: 0.000175 loss_cons: 0.000342 -2023-07-29 12:56:59,077 Epoch: [301][630/631] Time 1.509s (1.575s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000505 (0.000540) Accuracy 0.893 (0.903) loss_pose: 0.000190 loss_cons: 0.000315 -2023-07-29 12:57:07,351 Test: [0/199] Time 6.108 (6.108) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-29 12:57:26,881 Test: [100/199] Time 0.194 (0.254) Loss 0.0002 (0.0002) Accuracy 0.928 (0.886) -2023-07-29 12:57:45,349 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.920 (0.882) -2023-07-29 12:57:47,046 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 12:57:56,416 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:57:56,455 The Predictions of Net 1 -2023-07-29 12:57:56,457 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:57:56,458 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:57:56,458 | 256x192_pose_dual_101_d256d256d256 | 0.7560 | 0.9355 | 0.8359 | 0.7319 | 0.7987 | 0.7866 | 0.9440 | 0.8539 | 0.7540 | 0.8363 | -2023-07-29 12:57:57,154 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 12:58:01,954 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:58:01,990 The Predictions of Net 2 -2023-07-29 12:58:01,990 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:58:01,991 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:58:01,991 | 256x192_pose_dual_101_d256d256d256 | 0.7582 | 0.9353 | 0.8362 | 0.7339 | 0.7986 | 0.7875 | 0.9418 | 0.8569 | 0.7561 | 0.8354 | -2023-07-29 12:58:02,680 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 12:58:09,493 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 12:58:09,527 Ensemble Predictions -2023-07-29 12:58:09,527 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 12:58:09,528 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 12:58:09,528 | 256x192_pose_dual_101_d256d256d256 | 0.7655 | 0.9357 | 0.8470 | 0.7385 | 0.8082 | 0.7938 | 0.9452 | 0.8629 | 0.7617 | 0.8430 | -2023-07-29 12:58:09,529 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 12:58:19,561 Epoch: [302][0/631] Time 5.764s (5.764s) Speed 5.6 samples/s Data 4.075s (4.075s) Loss 0.000448 (0.000448) Accuracy 0.953 (0.953) loss_pose: 0.000152 loss_cons: 0.000296 -2023-07-29 13:00:54,119 Epoch: [302][100/631] Time 1.515s (1.587s) Speed 21.1 samples/s Data 0.000s (0.041s) Loss 0.000488 (0.000532) Accuracy 0.917 (0.903) loss_pose: 0.000187 loss_cons: 0.000301 -2023-07-29 13:03:27,814 Epoch: [302][200/631] Time 1.523s (1.562s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000548 (0.000533) Accuracy 0.936 (0.905) loss_pose: 0.000178 loss_cons: 0.000370 -2023-07-29 13:06:02,128 Epoch: [302][300/631] Time 1.605s (1.556s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000639 (0.000534) Accuracy 0.883 (0.906) loss_pose: 0.000239 loss_cons: 0.000400 -2023-07-29 13:08:36,235 Epoch: [302][400/631] Time 1.519s (1.552s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000499 (0.000534) Accuracy 0.879 (0.905) loss_pose: 0.000160 loss_cons: 0.000339 -2023-07-29 13:11:10,402 Epoch: [302][500/631] Time 1.521s (1.550s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000561 (0.000536) Accuracy 0.890 (0.905) loss_pose: 0.000188 loss_cons: 0.000373 -2023-07-29 13:13:44,328 Epoch: [302][600/631] Time 1.513s (1.548s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000519 (0.000536) Accuracy 0.921 (0.905) loss_pose: 0.000179 loss_cons: 0.000339 -2023-07-29 13:14:30,066 Epoch: [302][630/631] Time 1.587s (1.547s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000457 (0.000536) Accuracy 0.912 (0.906) loss_pose: 0.000185 loss_cons: 0.000272 -2023-07-29 13:14:38,522 Test: [0/199] Time 6.398 (6.398) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-29 13:14:58,265 Test: [100/199] Time 0.203 (0.259) Loss 0.0002 (0.0002) Accuracy 0.925 (0.886) -2023-07-29 13:15:16,938 Test: [198/199] Time 0.145 (0.225) Loss 0.0002 (0.0002) Accuracy 0.927 (0.883) -2023-07-29 13:15:18,902 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 13:15:27,973 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:15:28,018 The Predictions of Net 1 -2023-07-29 13:15:28,020 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:15:28,021 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:15:28,021 | 256x192_pose_dual_101_d256d256d256 | 0.7573 | 0.9356 | 0.8356 | 0.7328 | 0.7979 | 0.7869 | 0.9435 | 0.8537 | 0.7549 | 0.8359 | -2023-07-29 13:15:28,731 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 13:15:33,527 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:15:33,559 The Predictions of Net 2 -2023-07-29 13:15:33,559 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:15:33,560 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:15:33,561 | 256x192_pose_dual_101_d256d256d256 | 0.7574 | 0.9353 | 0.8361 | 0.7324 | 0.8001 | 0.7879 | 0.9424 | 0.8580 | 0.7561 | 0.8364 | -2023-07-29 13:15:34,249 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 13:15:38,989 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:15:39,021 Ensemble Predictions -2023-07-29 13:15:39,022 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:15:39,023 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:15:39,023 | 256x192_pose_dual_101_d256d256d256 | 0.7659 | 0.9359 | 0.8469 | 0.7400 | 0.8098 | 0.7937 | 0.9458 | 0.8611 | 0.7615 | 0.8429 | -2023-07-29 13:15:39,024 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 13:15:49,381 Epoch: [303][0/631] Time 6.302s (6.302s) Speed 5.1 samples/s Data 4.654s (4.654s) Loss 0.000495 (0.000495) Accuracy 0.929 (0.929) loss_pose: 0.000168 loss_cons: 0.000328 -2023-07-29 13:18:24,819 Epoch: [303][100/631] Time 1.600s (1.601s) Speed 20.0 samples/s Data 0.000s (0.046s) Loss 0.000490 (0.000527) Accuracy 0.896 (0.907) loss_pose: 0.000181 loss_cons: 0.000309 -2023-07-29 13:20:59,053 Epoch: [303][200/631] Time 1.520s (1.572s) Speed 21.1 samples/s Data 0.000s (0.024s) Loss 0.000514 (0.000530) Accuracy 0.958 (0.905) loss_pose: 0.000161 loss_cons: 0.000353 -2023-07-29 13:23:33,687 Epoch: [303][300/631] Time 1.521s (1.563s) Speed 21.0 samples/s Data 0.000s (0.016s) Loss 0.000598 (0.000533) Accuracy 0.887 (0.905) loss_pose: 0.000185 loss_cons: 0.000413 -2023-07-29 13:26:08,049 Epoch: [303][400/631] Time 1.603s (1.559s) Speed 20.0 samples/s Data 0.000s (0.012s) Loss 0.000519 (0.000535) Accuracy 0.891 (0.905) loss_pose: 0.000200 loss_cons: 0.000319 -2023-07-29 13:28:43,202 Epoch: [303][500/631] Time 1.541s (1.557s) Speed 20.8 samples/s Data 0.000s (0.010s) Loss 0.000555 (0.000536) Accuracy 0.937 (0.905) loss_pose: 0.000156 loss_cons: 0.000398 -2023-07-29 13:31:16,411 Epoch: [303][600/631] Time 1.514s (1.553s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000609 (0.000536) Accuracy 0.898 (0.905) loss_pose: 0.000191 loss_cons: 0.000417 -2023-07-29 13:32:01,858 Epoch: [303][630/631] Time 1.501s (1.551s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000491 (0.000535) Accuracy 0.880 (0.905) loss_pose: 0.000206 loss_cons: 0.000284 -2023-07-29 13:32:09,388 Test: [0/199] Time 5.466 (5.466) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-29 13:32:29,299 Test: [100/199] Time 0.196 (0.252) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-29 13:32:47,827 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.920 (0.882) -2023-07-29 13:32:49,856 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 13:33:01,118 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:33:01,159 The Predictions of Net 1 -2023-07-29 13:33:01,159 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:33:01,160 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:33:01,160 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9354 | 0.8352 | 0.7336 | 0.7974 | 0.7876 | 0.9435 | 0.8530 | 0.7564 | 0.8356 | -2023-07-29 13:33:01,845 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 13:33:06,556 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:33:06,590 The Predictions of Net 2 -2023-07-29 13:33:06,591 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:33:06,591 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:33:06,591 | 256x192_pose_dual_101_d256d256d256 | 0.7576 | 0.9352 | 0.8357 | 0.7346 | 0.8017 | 0.7887 | 0.9422 | 0.8578 | 0.7562 | 0.8382 | -2023-07-29 13:33:07,278 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 13:33:12,012 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:33:12,045 Ensemble Predictions -2023-07-29 13:33:12,046 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:33:12,046 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:33:12,046 | 256x192_pose_dual_101_d256d256d256 | 0.7656 | 0.9359 | 0.8470 | 0.7398 | 0.8077 | 0.7942 | 0.9452 | 0.8622 | 0.7626 | 0.8428 | -2023-07-29 13:33:12,047 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 13:33:20,687 Epoch: [304][0/631] Time 5.572s (5.572s) Speed 5.7 samples/s Data 3.867s (3.867s) Loss 0.000476 (0.000476) Accuracy 0.952 (0.952) loss_pose: 0.000160 loss_cons: 0.000315 -2023-07-29 13:35:57,379 Epoch: [304][100/631] Time 1.520s (1.607s) Speed 21.1 samples/s Data 0.000s (0.039s) Loss 0.000548 (0.000522) Accuracy 0.894 (0.906) loss_pose: 0.000223 loss_cons: 0.000325 -2023-07-29 13:38:31,800 Epoch: [304][200/631] Time 1.508s (1.576s) Speed 21.2 samples/s Data 0.000s (0.020s) Loss 0.000549 (0.000528) Accuracy 0.924 (0.908) loss_pose: 0.000187 loss_cons: 0.000362 -2023-07-29 13:41:06,222 Epoch: [304][300/631] Time 1.525s (1.565s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000592 (0.000532) Accuracy 0.900 (0.907) loss_pose: 0.000177 loss_cons: 0.000415 -2023-07-29 13:43:40,828 Epoch: [304][400/631] Time 1.525s (1.560s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000504 (0.000534) Accuracy 0.890 (0.906) loss_pose: 0.000159 loss_cons: 0.000345 -2023-07-29 13:46:15,299 Epoch: [304][500/631] Time 1.518s (1.557s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000546 (0.000533) Accuracy 0.880 (0.906) loss_pose: 0.000213 loss_cons: 0.000333 -2023-07-29 13:48:51,127 Epoch: [304][600/631] Time 1.601s (1.557s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000600 (0.000534) Accuracy 0.925 (0.906) loss_pose: 0.000203 loss_cons: 0.000397 -2023-07-29 13:49:38,137 Epoch: [304][630/631] Time 1.519s (1.558s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000444 (0.000534) Accuracy 0.911 (0.906) loss_pose: 0.000168 loss_cons: 0.000276 -2023-07-29 13:49:45,629 Test: [0/199] Time 5.182 (5.182) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-29 13:50:06,156 Test: [100/199] Time 0.198 (0.256) Loss 0.0002 (0.0002) Accuracy 0.928 (0.886) -2023-07-29 13:50:24,764 Test: [198/199] Time 0.139 (0.224) Loss 0.0002 (0.0002) Accuracy 0.927 (0.883) -2023-07-29 13:50:26,519 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 13:50:36,131 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:50:36,169 The Predictions of Net 1 -2023-07-29 13:50:36,171 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:50:36,171 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:50:36,171 | 256x192_pose_dual_101_d256d256d256 | 0.7564 | 0.9356 | 0.8358 | 0.7327 | 0.7989 | 0.7873 | 0.9449 | 0.8545 | 0.7558 | 0.8356 | -2023-07-29 13:50:36,868 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 13:50:43,850 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:50:43,883 The Predictions of Net 2 -2023-07-29 13:50:43,884 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:50:43,885 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:50:43,885 | 256x192_pose_dual_101_d256d256d256 | 0.7602 | 0.9351 | 0.8363 | 0.7339 | 0.8022 | 0.7891 | 0.9421 | 0.8594 | 0.7571 | 0.8379 | -2023-07-29 13:50:44,567 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 13:50:49,288 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 13:50:49,324 Ensemble Predictions -2023-07-29 13:50:49,325 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 13:50:49,325 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 13:50:49,325 | 256x192_pose_dual_101_d256d256d256 | 0.7659 | 0.9359 | 0.8471 | 0.7417 | 0.8088 | 0.7951 | 0.9460 | 0.8630 | 0.7630 | 0.8441 | -2023-07-29 13:50:49,326 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 13:50:59,372 Epoch: [305][0/631] Time 6.069s (6.069s) Speed 5.3 samples/s Data 4.403s (4.403s) Loss 0.000548 (0.000548) Accuracy 0.897 (0.897) loss_pose: 0.000181 loss_cons: 0.000367 -2023-07-29 13:53:34,470 Epoch: [305][100/631] Time 1.518s (1.596s) Speed 21.1 samples/s Data 0.000s (0.044s) Loss 0.000571 (0.000530) Accuracy 0.927 (0.903) loss_pose: 0.000203 loss_cons: 0.000369 -2023-07-29 13:56:09,758 Epoch: [305][200/631] Time 1.579s (1.574s) Speed 20.3 samples/s Data 0.000s (0.022s) Loss 0.000544 (0.000533) Accuracy 0.907 (0.904) loss_pose: 0.000204 loss_cons: 0.000339 -2023-07-29 13:58:44,222 Epoch: [305][300/631] Time 1.517s (1.565s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000523 (0.000532) Accuracy 0.933 (0.906) loss_pose: 0.000163 loss_cons: 0.000360 -2023-07-29 14:01:18,661 Epoch: [305][400/631] Time 1.612s (1.559s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000613 (0.000534) Accuracy 0.855 (0.905) loss_pose: 0.000225 loss_cons: 0.000389 -2023-07-29 14:03:54,486 Epoch: [305][500/631] Time 1.624s (1.559s) Speed 19.7 samples/s Data 0.001s (0.009s) Loss 0.000512 (0.000532) Accuracy 0.922 (0.905) loss_pose: 0.000159 loss_cons: 0.000354 -2023-07-29 14:06:29,203 Epoch: [305][600/631] Time 1.518s (1.557s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000588 (0.000533) Accuracy 0.900 (0.906) loss_pose: 0.000211 loss_cons: 0.000377 -2023-07-29 14:07:14,646 Epoch: [305][630/631] Time 1.583s (1.555s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000461 (0.000533) Accuracy 0.936 (0.906) loss_pose: 0.000186 loss_cons: 0.000275 -2023-07-29 14:07:21,430 Test: [0/199] Time 4.629 (4.629) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-29 14:07:41,969 Test: [100/199] Time 0.203 (0.252) Loss 0.0002 (0.0002) Accuracy 0.937 (0.886) -2023-07-29 14:08:00,703 Test: [198/199] Time 0.136 (0.222) Loss 0.0002 (0.0002) Accuracy 0.934 (0.883) -2023-07-29 14:08:02,615 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 14:08:11,990 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:08:12,027 The Predictions of Net 1 -2023-07-29 14:08:12,028 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:08:12,029 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:08:12,029 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9358 | 0.8358 | 0.7318 | 0.7982 | 0.7871 | 0.9452 | 0.8544 | 0.7553 | 0.8357 | -2023-07-29 14:08:12,725 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 14:08:17,533 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:08:17,568 The Predictions of Net 2 -2023-07-29 14:08:17,570 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:08:17,570 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:08:17,570 | 256x192_pose_dual_101_d256d256d256 | 0.7587 | 0.9352 | 0.8359 | 0.7330 | 0.8002 | 0.7890 | 0.9424 | 0.8578 | 0.7563 | 0.8384 | -2023-07-29 14:08:18,264 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 14:08:25,087 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:08:25,123 Ensemble Predictions -2023-07-29 14:08:25,124 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:08:25,125 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:08:25,125 | 256x192_pose_dual_101_d256d256d256 | 0.7646 | 0.9357 | 0.8374 | 0.7386 | 0.8080 | 0.7937 | 0.9454 | 0.8596 | 0.7618 | 0.8427 | -2023-07-29 14:08:25,126 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 14:08:33,838 Epoch: [306][0/631] Time 5.775s (5.775s) Speed 5.5 samples/s Data 4.070s (4.070s) Loss 0.000494 (0.000494) Accuracy 0.900 (0.900) loss_pose: 0.000202 loss_cons: 0.000292 -2023-07-29 14:11:09,064 Epoch: [306][100/631] Time 1.521s (1.594s) Speed 21.0 samples/s Data 0.000s (0.041s) Loss 0.000526 (0.000522) Accuracy 0.908 (0.911) loss_pose: 0.000197 loss_cons: 0.000329 -2023-07-29 14:13:43,970 Epoch: [306][200/631] Time 1.514s (1.572s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000589 (0.000528) Accuracy 0.896 (0.909) loss_pose: 0.000220 loss_cons: 0.000369 -2023-07-29 14:16:18,494 Epoch: [306][300/631] Time 1.607s (1.563s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000648 (0.000532) Accuracy 0.845 (0.908) loss_pose: 0.000249 loss_cons: 0.000400 -2023-07-29 14:18:53,014 Epoch: [306][400/631] Time 1.523s (1.558s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000477 (0.000534) Accuracy 0.892 (0.907) loss_pose: 0.000189 loss_cons: 0.000288 -2023-07-29 14:21:28,534 Epoch: [306][500/631] Time 1.519s (1.558s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000609 (0.000532) Accuracy 0.872 (0.908) loss_pose: 0.000205 loss_cons: 0.000404 -2023-07-29 14:24:02,269 Epoch: [306][600/631] Time 1.506s (1.554s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000519 (0.000532) Accuracy 0.914 (0.907) loss_pose: 0.000193 loss_cons: 0.000326 -2023-07-29 14:24:47,754 Epoch: [306][630/631] Time 1.519s (1.553s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000607 (0.000532) Accuracy 0.899 (0.908) loss_pose: 0.000191 loss_cons: 0.000416 -2023-07-29 14:24:54,691 Test: [0/199] Time 4.649 (4.649) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 14:25:15,951 Test: [100/199] Time 0.197 (0.259) Loss 0.0002 (0.0002) Accuracy 0.924 (0.885) -2023-07-29 14:25:34,855 Test: [198/199] Time 0.136 (0.227) Loss 0.0002 (0.0002) Accuracy 0.917 (0.882) -2023-07-29 14:25:36,082 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 14:25:45,564 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:25:45,617 The Predictions of Net 1 -2023-07-29 14:25:45,618 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:25:45,618 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:25:45,619 | 256x192_pose_dual_101_d256d256d256 | 0.7573 | 0.9358 | 0.8360 | 0.7330 | 0.7977 | 0.7877 | 0.9438 | 0.8550 | 0.7562 | 0.8359 | -2023-07-29 14:25:46,316 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 14:25:51,163 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:25:51,199 The Predictions of Net 2 -2023-07-29 14:25:51,200 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:25:51,200 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:25:51,200 | 256x192_pose_dual_101_d256d256d256 | 0.7591 | 0.9354 | 0.8359 | 0.7346 | 0.8012 | 0.7896 | 0.9449 | 0.8583 | 0.7578 | 0.8382 | -2023-07-29 14:25:51,893 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 14:25:56,681 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:25:56,719 Ensemble Predictions -2023-07-29 14:25:56,719 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:25:56,720 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:25:56,720 | 256x192_pose_dual_101_d256d256d256 | 0.7659 | 0.9358 | 0.8468 | 0.7407 | 0.8069 | 0.7950 | 0.9443 | 0.8634 | 0.7639 | 0.8429 | -2023-07-29 14:25:56,721 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 14:26:04,955 Epoch: [307][0/631] Time 5.014s (5.014s) Speed 6.4 samples/s Data 3.267s (3.267s) Loss 0.000564 (0.000564) Accuracy 0.860 (0.860) loss_pose: 0.000225 loss_cons: 0.000338 -2023-07-29 14:28:39,953 Epoch: [307][100/631] Time 1.555s (1.584s) Speed 20.6 samples/s Data 0.000s (0.033s) Loss 0.000484 (0.000528) Accuracy 0.913 (0.907) loss_pose: 0.000159 loss_cons: 0.000325 -2023-07-29 14:31:15,377 Epoch: [307][200/631] Time 1.522s (1.569s) Speed 21.0 samples/s Data 0.000s (0.017s) Loss 0.000521 (0.000529) Accuracy 0.907 (0.907) loss_pose: 0.000184 loss_cons: 0.000336 -2023-07-29 14:33:49,924 Epoch: [307][300/631] Time 1.547s (1.561s) Speed 20.7 samples/s Data 0.000s (0.011s) Loss 0.000634 (0.000535) Accuracy 0.892 (0.906) loss_pose: 0.000209 loss_cons: 0.000425 -2023-07-29 14:36:25,647 Epoch: [307][400/631] Time 1.605s (1.560s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000571 (0.000534) Accuracy 0.923 (0.907) loss_pose: 0.000195 loss_cons: 0.000376 -2023-07-29 14:39:03,622 Epoch: [307][500/631] Time 1.543s (1.564s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.000457 (0.000533) Accuracy 0.938 (0.907) loss_pose: 0.000166 loss_cons: 0.000291 -2023-07-29 14:41:39,084 Epoch: [307][600/631] Time 1.521s (1.563s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000593 (0.000534) Accuracy 0.894 (0.907) loss_pose: 0.000210 loss_cons: 0.000383 -2023-07-29 14:42:24,546 Epoch: [307][630/631] Time 1.508s (1.560s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000475 (0.000534) Accuracy 0.909 (0.907) loss_pose: 0.000178 loss_cons: 0.000297 -2023-07-29 14:42:32,242 Test: [0/199] Time 5.639 (5.639) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 14:42:52,392 Test: [100/199] Time 0.201 (0.256) Loss 0.0002 (0.0002) Accuracy 0.923 (0.886) -2023-07-29 14:43:11,233 Test: [198/199] Time 0.198 (0.224) Loss 0.0002 (0.0002) Accuracy 0.925 (0.882) -2023-07-29 14:43:13,113 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 14:43:22,894 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:43:22,934 The Predictions of Net 1 -2023-07-29 14:43:22,935 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:43:22,936 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:43:22,936 | 256x192_pose_dual_101_d256d256d256 | 0.7565 | 0.9356 | 0.8355 | 0.7325 | 0.7954 | 0.7871 | 0.9446 | 0.8556 | 0.7562 | 0.8347 | -2023-07-29 14:43:23,635 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 14:43:28,482 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:43:28,523 The Predictions of Net 2 -2023-07-29 14:43:28,524 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:43:28,524 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:43:28,524 | 256x192_pose_dual_101_d256d256d256 | 0.7612 | 0.9354 | 0.8358 | 0.7368 | 0.8020 | 0.7904 | 0.9435 | 0.8589 | 0.7593 | 0.8377 | -2023-07-29 14:43:29,208 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 14:43:33,929 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 14:43:33,967 Ensemble Predictions -2023-07-29 14:43:33,967 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 14:43:33,968 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 14:43:33,968 | 256x192_pose_dual_101_d256d256d256 | 0.7657 | 0.9357 | 0.8468 | 0.7408 | 0.8065 | 0.7948 | 0.9447 | 0.8627 | 0.7638 | 0.8424 | -2023-07-29 14:43:33,968 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 14:43:43,572 Epoch: [308][0/631] Time 5.593s (5.593s) Speed 5.7 samples/s Data 3.915s (3.915s) Loss 0.000504 (0.000504) Accuracy 0.896 (0.896) loss_pose: 0.000210 loss_cons: 0.000294 -2023-07-29 14:46:17,863 Epoch: [308][100/631] Time 1.512s (1.583s) Speed 21.2 samples/s Data 0.000s (0.039s) Loss 0.000562 (0.000527) Accuracy 0.911 (0.908) loss_pose: 0.000190 loss_cons: 0.000371 -2023-07-29 14:48:51,414 Epoch: [308][200/631] Time 1.607s (1.559s) Speed 19.9 samples/s Data 0.000s (0.020s) Loss 0.000576 (0.000529) Accuracy 0.921 (0.908) loss_pose: 0.000193 loss_cons: 0.000384 -2023-07-29 14:51:26,100 Epoch: [308][300/631] Time 1.519s (1.555s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000642 (0.000532) Accuracy 0.922 (0.908) loss_pose: 0.000199 loss_cons: 0.000442 -2023-07-29 14:54:00,612 Epoch: [308][400/631] Time 1.555s (1.553s) Speed 20.6 samples/s Data 0.000s (0.010s) Loss 0.000546 (0.000533) Accuracy 0.894 (0.907) loss_pose: 0.000189 loss_cons: 0.000357 -2023-07-29 14:56:34,788 Epoch: [308][500/631] Time 1.529s (1.551s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000566 (0.000532) Accuracy 0.918 (0.908) loss_pose: 0.000180 loss_cons: 0.000386 -2023-07-29 14:59:09,054 Epoch: [308][600/631] Time 1.511s (1.549s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000659 (0.000533) Accuracy 0.889 (0.908) loss_pose: 0.000213 loss_cons: 0.000446 -2023-07-29 14:59:54,566 Epoch: [308][630/631] Time 1.517s (1.548s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000501 (0.000532) Accuracy 0.948 (0.908) loss_pose: 0.000173 loss_cons: 0.000328 -2023-07-29 15:00:01,186 Test: [0/199] Time 4.440 (4.440) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-29 15:00:22,069 Test: [100/199] Time 0.195 (0.252) Loss 0.0002 (0.0002) Accuracy 0.928 (0.886) -2023-07-29 15:00:40,685 Test: [198/199] Time 0.133 (0.222) Loss 0.0002 (0.0002) Accuracy 0.932 (0.883) -2023-07-29 15:00:42,206 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 15:00:53,878 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:00:53,915 The Predictions of Net 1 -2023-07-29 15:00:53,915 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:00:53,916 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:00:53,916 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9357 | 0.8358 | 0.7327 | 0.7986 | 0.7879 | 0.9447 | 0.8547 | 0.7561 | 0.8364 | -2023-07-29 15:00:54,618 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 15:00:59,431 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:00:59,471 The Predictions of Net 2 -2023-07-29 15:00:59,477 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:00:59,479 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:00:59,479 | 256x192_pose_dual_101_d256d256d256 | 0.7593 | 0.9350 | 0.8364 | 0.7346 | 0.8020 | 0.7897 | 0.9430 | 0.8585 | 0.7577 | 0.8382 | -2023-07-29 15:01:00,165 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 15:01:04,897 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:01:04,931 Ensemble Predictions -2023-07-29 15:01:04,931 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:01:04,932 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:01:04,933 | 256x192_pose_dual_101_d256d256d256 | 0.7655 | 0.9355 | 0.8472 | 0.7403 | 0.8073 | 0.7948 | 0.9444 | 0.8630 | 0.7636 | 0.8429 | -2023-07-29 15:01:04,934 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 15:01:13,936 Epoch: [309][0/631] Time 6.028s (6.028s) Speed 5.3 samples/s Data 4.355s (4.355s) Loss 0.000476 (0.000476) Accuracy 0.887 (0.887) loss_pose: 0.000177 loss_cons: 0.000298 -2023-07-29 15:03:50,011 Epoch: [309][100/631] Time 1.543s (1.605s) Speed 20.7 samples/s Data 0.000s (0.044s) Loss 0.000442 (0.000532) Accuracy 0.932 (0.905) loss_pose: 0.000150 loss_cons: 0.000291 -2023-07-29 15:06:24,182 Epoch: [309][200/631] Time 1.511s (1.573s) Speed 21.2 samples/s Data 0.001s (0.022s) Loss 0.000560 (0.000531) Accuracy 0.923 (0.905) loss_pose: 0.000159 loss_cons: 0.000401 -2023-07-29 15:08:57,265 Epoch: [309][300/631] Time 1.517s (1.559s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000562 (0.000531) Accuracy 0.942 (0.905) loss_pose: 0.000184 loss_cons: 0.000379 -2023-07-29 15:11:31,391 Epoch: [309][400/631] Time 1.528s (1.555s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000546 (0.000530) Accuracy 0.859 (0.906) loss_pose: 0.000199 loss_cons: 0.000348 -2023-07-29 15:14:04,307 Epoch: [309][500/631] Time 1.519s (1.550s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000556 (0.000532) Accuracy 0.911 (0.907) loss_pose: 0.000196 loss_cons: 0.000360 -2023-07-29 15:16:41,463 Epoch: [309][600/631] Time 1.592s (1.553s) Speed 20.1 samples/s Data 0.000s (0.008s) Loss 0.000556 (0.000530) Accuracy 0.845 (0.907) loss_pose: 0.000184 loss_cons: 0.000372 -2023-07-29 15:17:27,845 Epoch: [309][630/631] Time 1.587s (1.553s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000531 (0.000531) Accuracy 0.916 (0.907) loss_pose: 0.000165 loss_cons: 0.000366 -2023-07-29 15:17:34,463 Test: [0/199] Time 4.189 (4.189) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 15:17:55,543 Test: [100/199] Time 0.203 (0.253) Loss 0.0002 (0.0002) Accuracy 0.931 (0.886) -2023-07-29 15:18:14,419 Test: [198/199] Time 0.210 (0.223) Loss 0.0002 (0.0002) Accuracy 0.912 (0.883) -2023-07-29 15:18:16,037 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 15:18:25,848 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:18:25,889 The Predictions of Net 1 -2023-07-29 15:18:25,890 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:18:25,890 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:18:25,890 | 256x192_pose_dual_101_d256d256d256 | 0.7572 | 0.9357 | 0.8358 | 0.7331 | 0.7978 | 0.7874 | 0.9441 | 0.8541 | 0.7556 | 0.8360 | -2023-07-29 15:18:26,585 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 15:18:31,478 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:18:31,515 The Predictions of Net 2 -2023-07-29 15:18:31,516 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:18:31,516 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:18:31,517 | 256x192_pose_dual_101_d256d256d256 | 0.7594 | 0.9352 | 0.8359 | 0.7345 | 0.8007 | 0.7893 | 0.9432 | 0.8577 | 0.7579 | 0.8376 | -2023-07-29 15:18:34,349 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 15:18:39,181 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:18:39,216 Ensemble Predictions -2023-07-29 15:18:39,217 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:18:39,218 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:18:39,218 | 256x192_pose_dual_101_d256d256d256 | 0.7663 | 0.9358 | 0.8469 | 0.7400 | 0.8070 | 0.7947 | 0.9441 | 0.8622 | 0.7630 | 0.8431 | -2023-07-29 15:18:39,219 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 15:18:48,048 Epoch: [310][0/631] Time 5.699s (5.699s) Speed 5.6 samples/s Data 4.002s (4.002s) Loss 0.000461 (0.000461) Accuracy 0.907 (0.907) loss_pose: 0.000189 loss_cons: 0.000273 -2023-07-29 15:21:23,600 Epoch: [310][100/631] Time 1.561s (1.597s) Speed 20.5 samples/s Data 0.000s (0.040s) Loss 0.000533 (0.000513) Accuracy 0.839 (0.909) loss_pose: 0.000191 loss_cons: 0.000343 -2023-07-29 15:23:59,191 Epoch: [310][200/631] Time 1.526s (1.576s) Speed 21.0 samples/s Data 0.000s (0.020s) Loss 0.000505 (0.000522) Accuracy 0.871 (0.906) loss_pose: 0.000185 loss_cons: 0.000320 -2023-07-29 15:26:34,150 Epoch: [310][300/631] Time 1.529s (1.567s) Speed 20.9 samples/s Data 0.000s (0.014s) Loss 0.000523 (0.000523) Accuracy 0.877 (0.906) loss_pose: 0.000176 loss_cons: 0.000347 -2023-07-29 15:29:16,058 Epoch: [310][400/631] Time 1.518s (1.580s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000547 (0.000525) Accuracy 0.904 (0.907) loss_pose: 0.000178 loss_cons: 0.000369 -2023-07-29 15:31:53,948 Epoch: [310][500/631] Time 1.528s (1.580s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000490 (0.000525) Accuracy 0.893 (0.908) loss_pose: 0.000182 loss_cons: 0.000308 -2023-07-29 15:34:34,977 Epoch: [310][600/631] Time 1.539s (1.585s) Speed 20.8 samples/s Data 0.000s (0.007s) Loss 0.000553 (0.000526) Accuracy 0.908 (0.908) loss_pose: 0.000175 loss_cons: 0.000378 -2023-07-29 15:35:21,639 Epoch: [310][630/631] Time 1.558s (1.584s) Speed 20.5 samples/s Data 0.000s (0.007s) Loss 0.000490 (0.000527) Accuracy 0.931 (0.908) loss_pose: 0.000164 loss_cons: 0.000327 -2023-07-29 15:35:29,357 Test: [0/199] Time 5.662 (5.662) Loss 0.0002 (0.0002) Accuracy 0.906 (0.906) -2023-07-29 15:35:49,296 Test: [100/199] Time 0.200 (0.254) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-29 15:36:07,836 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.912 (0.883) -2023-07-29 15:36:09,077 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 15:36:18,985 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:36:19,029 The Predictions of Net 1 -2023-07-29 15:36:19,029 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:36:19,030 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:36:19,031 | 256x192_pose_dual_101_d256d256d256 | 0.7578 | 0.9356 | 0.8361 | 0.7332 | 0.7981 | 0.7883 | 0.9446 | 0.8548 | 0.7563 | 0.8372 | -2023-07-29 15:36:19,735 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 15:36:24,618 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:36:24,653 The Predictions of Net 2 -2023-07-29 15:36:24,653 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:36:24,654 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:36:24,654 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9352 | 0.8363 | 0.7360 | 0.8033 | 0.7906 | 0.9441 | 0.8577 | 0.7584 | 0.8398 | -2023-07-29 15:36:25,342 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 15:36:30,074 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:36:30,111 Ensemble Predictions -2023-07-29 15:36:30,112 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:36:30,112 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:36:30,113 | 256x192_pose_dual_101_d256d256d256 | 0.7666 | 0.9356 | 0.8466 | 0.7412 | 0.8078 | 0.7953 | 0.9444 | 0.8616 | 0.7640 | 0.8431 | -2023-07-29 15:36:30,114 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 15:36:42,054 Epoch: [311][0/631] Time 5.714s (5.714s) Speed 5.6 samples/s Data 4.023s (4.023s) Loss 0.000424 (0.000424) Accuracy 0.902 (0.902) loss_pose: 0.000169 loss_cons: 0.000254 -2023-07-29 15:39:16,288 Epoch: [311][100/631] Time 1.513s (1.584s) Speed 21.2 samples/s Data 0.000s (0.040s) Loss 0.000476 (0.000532) Accuracy 0.926 (0.901) loss_pose: 0.000194 loss_cons: 0.000282 -2023-07-29 15:41:50,309 Epoch: [311][200/631] Time 1.586s (1.562s) Speed 20.2 samples/s Data 0.000s (0.020s) Loss 0.000544 (0.000529) Accuracy 0.913 (0.905) loss_pose: 0.000171 loss_cons: 0.000373 -2023-07-29 15:44:25,375 Epoch: [311][300/631] Time 1.544s (1.558s) Speed 20.7 samples/s Data 0.001s (0.014s) Loss 0.000649 (0.000528) Accuracy 0.895 (0.906) loss_pose: 0.000204 loss_cons: 0.000446 -2023-07-29 15:46:59,419 Epoch: [311][400/631] Time 1.528s (1.554s) Speed 20.9 samples/s Data 0.000s (0.010s) Loss 0.000563 (0.000528) Accuracy 0.916 (0.906) loss_pose: 0.000185 loss_cons: 0.000378 -2023-07-29 15:49:33,407 Epoch: [311][500/631] Time 1.519s (1.551s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000455 (0.000528) Accuracy 0.913 (0.905) loss_pose: 0.000186 loss_cons: 0.000269 -2023-07-29 15:52:06,764 Epoch: [311][600/631] Time 1.511s (1.548s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000562 (0.000528) Accuracy 0.959 (0.906) loss_pose: 0.000148 loss_cons: 0.000414 -2023-07-29 15:52:53,486 Epoch: [311][630/631] Time 1.515s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000526 (0.000527) Accuracy 0.915 (0.907) loss_pose: 0.000184 loss_cons: 0.000341 -2023-07-29 15:53:01,449 Test: [0/199] Time 5.733 (5.733) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 15:53:21,216 Test: [100/199] Time 0.226 (0.253) Loss 0.0002 (0.0002) Accuracy 0.927 (0.886) -2023-07-29 15:53:39,798 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.920 (0.883) -2023-07-29 15:53:41,159 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 15:53:50,592 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:53:50,629 The Predictions of Net 1 -2023-07-29 15:53:50,629 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:53:50,630 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:53:50,630 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9356 | 0.8356 | 0.7337 | 0.7974 | 0.7876 | 0.9446 | 0.8539 | 0.7557 | 0.8363 | -2023-07-29 15:53:51,327 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 15:53:56,060 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:53:56,095 The Predictions of Net 2 -2023-07-29 15:53:56,096 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:53:56,096 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:53:56,096 | 256x192_pose_dual_101_d256d256d256 | 0.7613 | 0.9354 | 0.8359 | 0.7359 | 0.8021 | 0.7907 | 0.9435 | 0.8591 | 0.7583 | 0.8398 | -2023-07-29 15:53:56,782 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 15:54:01,519 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 15:54:01,553 Ensemble Predictions -2023-07-29 15:54:01,554 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 15:54:01,554 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 15:54:01,554 | 256x192_pose_dual_101_d256d256d256 | 0.7659 | 0.9358 | 0.8470 | 0.7398 | 0.8077 | 0.7949 | 0.9441 | 0.8640 | 0.7631 | 0.8433 | -2023-07-29 15:54:01,555 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 15:54:10,026 Epoch: [312][0/631] Time 5.456s (5.456s) Speed 5.9 samples/s Data 3.796s (3.796s) Loss 0.000475 (0.000475) Accuracy 0.912 (0.912) loss_pose: 0.000195 loss_cons: 0.000280 -2023-07-29 15:56:45,541 Epoch: [312][100/631] Time 1.536s (1.594s) Speed 20.8 samples/s Data 0.000s (0.038s) Loss 0.000418 (0.000519) Accuracy 0.935 (0.910) loss_pose: 0.000164 loss_cons: 0.000253 -2023-07-29 15:59:19,559 Epoch: [312][200/631] Time 1.518s (1.567s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000560 (0.000526) Accuracy 0.904 (0.907) loss_pose: 0.000182 loss_cons: 0.000378 -2023-07-29 16:01:54,323 Epoch: [312][300/631] Time 1.526s (1.561s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000591 (0.000527) Accuracy 0.927 (0.908) loss_pose: 0.000187 loss_cons: 0.000405 -2023-07-29 16:04:27,441 Epoch: [312][400/631] Time 1.524s (1.553s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000559 (0.000529) Accuracy 0.882 (0.909) loss_pose: 0.000209 loss_cons: 0.000350 -2023-07-29 16:07:01,189 Epoch: [312][500/631] Time 1.599s (1.550s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000500 (0.000527) Accuracy 0.932 (0.909) loss_pose: 0.000184 loss_cons: 0.000316 -2023-07-29 16:09:34,999 Epoch: [312][600/631] Time 1.506s (1.548s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000612 (0.000528) Accuracy 0.861 (0.909) loss_pose: 0.000205 loss_cons: 0.000407 -2023-07-29 16:10:20,450 Epoch: [312][630/631] Time 1.516s (1.547s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000481 (0.000528) Accuracy 0.907 (0.909) loss_pose: 0.000189 loss_cons: 0.000292 -2023-07-29 16:10:27,366 Test: [0/199] Time 4.537 (4.537) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-29 16:10:47,633 Test: [100/199] Time 0.189 (0.249) Loss 0.0002 (0.0002) Accuracy 0.931 (0.885) -2023-07-29 16:11:06,274 Test: [198/199] Time 0.135 (0.220) Loss 0.0002 (0.0002) Accuracy 0.927 (0.883) -2023-07-29 16:11:07,712 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 16:11:18,658 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:11:18,694 The Predictions of Net 1 -2023-07-29 16:11:18,695 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:11:18,695 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:11:18,695 | 256x192_pose_dual_101_d256d256d256 | 0.7578 | 0.9358 | 0.8360 | 0.7346 | 0.7986 | 0.7886 | 0.9457 | 0.8561 | 0.7574 | 0.8361 | -2023-07-29 16:11:19,390 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 16:11:24,083 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:11:24,116 The Predictions of Net 2 -2023-07-29 16:11:24,117 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:11:24,117 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:11:24,117 | 256x192_pose_dual_101_d256d256d256 | 0.7596 | 0.9354 | 0.8357 | 0.7350 | 0.8018 | 0.7902 | 0.9435 | 0.8585 | 0.7581 | 0.8389 | -2023-07-29 16:11:24,800 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 16:11:29,565 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:11:29,599 Ensemble Predictions -2023-07-29 16:11:29,600 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:11:29,600 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:11:29,600 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9359 | 0.8468 | 0.7419 | 0.8086 | 0.7959 | 0.9452 | 0.8638 | 0.7641 | 0.8443 | -2023-07-29 16:11:29,601 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 16:11:38,845 Epoch: [313][0/631] Time 6.264s (6.264s) Speed 5.1 samples/s Data 4.567s (4.567s) Loss 0.000443 (0.000443) Accuracy 0.910 (0.910) loss_pose: 0.000191 loss_cons: 0.000252 -2023-07-29 16:14:13,843 Epoch: [313][100/631] Time 1.546s (1.597s) Speed 20.7 samples/s Data 0.000s (0.046s) Loss 0.000501 (0.000528) Accuracy 0.922 (0.906) loss_pose: 0.000190 loss_cons: 0.000311 -2023-07-29 16:16:48,994 Epoch: [313][200/631] Time 1.602s (1.574s) Speed 20.0 samples/s Data 0.000s (0.023s) Loss 0.000525 (0.000528) Accuracy 0.911 (0.907) loss_pose: 0.000177 loss_cons: 0.000348 -2023-07-29 16:19:22,941 Epoch: [313][300/631] Time 1.519s (1.563s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000559 (0.000526) Accuracy 0.901 (0.908) loss_pose: 0.000178 loss_cons: 0.000380 -2023-07-29 16:21:57,640 Epoch: [313][400/631] Time 1.513s (1.559s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000549 (0.000527) Accuracy 0.905 (0.907) loss_pose: 0.000153 loss_cons: 0.000396 -2023-07-29 16:24:31,210 Epoch: [313][500/631] Time 1.612s (1.554s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000480 (0.000528) Accuracy 0.907 (0.907) loss_pose: 0.000176 loss_cons: 0.000304 -2023-07-29 16:27:03,933 Epoch: [313][600/631] Time 1.515s (1.550s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000491 (0.000530) Accuracy 0.919 (0.906) loss_pose: 0.000154 loss_cons: 0.000337 -2023-07-29 16:27:49,327 Epoch: [313][630/631] Time 1.509s (1.548s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000576 (0.000529) Accuracy 0.869 (0.907) loss_pose: 0.000207 loss_cons: 0.000369 -2023-07-29 16:27:57,163 Test: [0/199] Time 5.515 (5.515) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-29 16:28:17,216 Test: [100/199] Time 0.209 (0.255) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-29 16:28:36,073 Test: [198/199] Time 0.158 (0.224) Loss 0.0002 (0.0002) Accuracy 0.905 (0.882) -2023-07-29 16:28:37,870 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 16:28:47,738 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:28:47,785 The Predictions of Net 1 -2023-07-29 16:28:47,785 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:28:47,786 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:28:47,786 | 256x192_pose_dual_101_d256d256d256 | 0.7576 | 0.9358 | 0.8359 | 0.7339 | 0.7969 | 0.7881 | 0.9451 | 0.8558 | 0.7568 | 0.8360 | -2023-07-29 16:28:48,493 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 16:28:55,582 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:28:55,623 The Predictions of Net 2 -2023-07-29 16:28:55,624 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:28:55,624 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:28:55,624 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9354 | 0.8362 | 0.7359 | 0.8027 | 0.7914 | 0.9446 | 0.8599 | 0.7594 | 0.8399 | -2023-07-29 16:28:56,312 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 16:29:01,133 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:29:01,173 Ensemble Predictions -2023-07-29 16:29:01,174 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:29:01,174 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:29:01,174 | 256x192_pose_dual_101_d256d256d256 | 0.7661 | 0.9358 | 0.8470 | 0.7424 | 0.8078 | 0.7956 | 0.9454 | 0.8652 | 0.7646 | 0.8432 | -2023-07-29 16:29:01,176 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 16:29:09,864 Epoch: [314][0/631] Time 5.702s (5.702s) Speed 5.6 samples/s Data 3.989s (3.989s) Loss 0.000432 (0.000432) Accuracy 0.930 (0.930) loss_pose: 0.000167 loss_cons: 0.000265 -2023-07-29 16:31:44,735 Epoch: [314][100/631] Time 1.513s (1.590s) Speed 21.2 samples/s Data 0.000s (0.040s) Loss 0.000491 (0.000517) Accuracy 0.925 (0.911) loss_pose: 0.000149 loss_cons: 0.000342 -2023-07-29 16:34:18,932 Epoch: [314][200/631] Time 1.526s (1.566s) Speed 21.0 samples/s Data 0.000s (0.020s) Loss 0.000623 (0.000523) Accuracy 0.899 (0.908) loss_pose: 0.000186 loss_cons: 0.000437 -2023-07-29 16:36:54,114 Epoch: [314][300/631] Time 1.551s (1.561s) Speed 20.6 samples/s Data 0.000s (0.014s) Loss 0.000660 (0.000527) Accuracy 0.871 (0.907) loss_pose: 0.000221 loss_cons: 0.000438 -2023-07-29 16:39:28,016 Epoch: [314][400/631] Time 1.540s (1.556s) Speed 20.8 samples/s Data 0.000s (0.010s) Loss 0.000569 (0.000528) Accuracy 0.869 (0.907) loss_pose: 0.000191 loss_cons: 0.000378 -2023-07-29 16:42:02,135 Epoch: [314][500/631] Time 1.605s (1.553s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000473 (0.000526) Accuracy 0.930 (0.907) loss_pose: 0.000169 loss_cons: 0.000304 -2023-07-29 16:44:37,437 Epoch: [314][600/631] Time 1.599s (1.553s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000509 (0.000526) Accuracy 0.915 (0.908) loss_pose: 0.000218 loss_cons: 0.000291 -2023-07-29 16:45:23,138 Epoch: [314][630/631] Time 1.524s (1.551s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000636 (0.000526) Accuracy 0.919 (0.907) loss_pose: 0.000168 loss_cons: 0.000468 -2023-07-29 16:45:30,411 Test: [0/199] Time 4.949 (4.949) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-29 16:45:50,862 Test: [100/199] Time 0.189 (0.254) Loss 0.0002 (0.0002) Accuracy 0.934 (0.885) -2023-07-29 16:46:09,518 Test: [198/199] Time 0.148 (0.222) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-29 16:46:11,214 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 16:46:20,157 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:46:20,200 The Predictions of Net 1 -2023-07-29 16:46:20,202 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:46:20,203 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:46:20,203 | 256x192_pose_dual_101_d256d256d256 | 0.7580 | 0.9353 | 0.8353 | 0.7329 | 0.7993 | 0.7886 | 0.9454 | 0.8552 | 0.7570 | 0.8369 | -2023-07-29 16:46:20,903 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 16:46:25,666 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:46:25,698 The Predictions of Net 2 -2023-07-29 16:46:25,699 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:46:25,700 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:46:25,700 | 256x192_pose_dual_101_d256d256d256 | 0.7621 | 0.9355 | 0.8355 | 0.7343 | 0.8024 | 0.7908 | 0.9449 | 0.8574 | 0.7591 | 0.8391 | -2023-07-29 16:46:26,390 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 16:46:33,241 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 16:46:33,275 Ensemble Predictions -2023-07-29 16:46:33,275 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 16:46:33,276 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 16:46:33,277 | 256x192_pose_dual_101_d256d256d256 | 0.7659 | 0.9360 | 0.8464 | 0.7417 | 0.8083 | 0.7955 | 0.9462 | 0.8630 | 0.7637 | 0.8445 | -2023-07-29 16:46:33,278 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 16:46:42,757 Epoch: [315][0/631] Time 5.456s (5.456s) Speed 5.9 samples/s Data 3.765s (3.765s) Loss 0.000471 (0.000471) Accuracy 0.900 (0.900) loss_pose: 0.000202 loss_cons: 0.000269 -2023-07-29 16:49:19,041 Epoch: [315][100/631] Time 1.557s (1.601s) Speed 20.5 samples/s Data 0.000s (0.038s) Loss 0.000461 (0.000529) Accuracy 0.901 (0.910) loss_pose: 0.000169 loss_cons: 0.000292 -2023-07-29 16:51:53,930 Epoch: [315][200/631] Time 1.519s (1.575s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000502 (0.000532) Accuracy 0.900 (0.909) loss_pose: 0.000180 loss_cons: 0.000322 -2023-07-29 16:54:28,315 Epoch: [315][300/631] Time 1.601s (1.565s) Speed 20.0 samples/s Data 0.000s (0.013s) Loss 0.000582 (0.000528) Accuracy 0.874 (0.908) loss_pose: 0.000223 loss_cons: 0.000359 -2023-07-29 16:57:03,113 Epoch: [315][400/631] Time 1.522s (1.561s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000507 (0.000528) Accuracy 0.917 (0.908) loss_pose: 0.000164 loss_cons: 0.000343 -2023-07-29 16:59:36,644 Epoch: [315][500/631] Time 1.521s (1.556s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000529 (0.000528) Accuracy 0.898 (0.908) loss_pose: 0.000200 loss_cons: 0.000329 -2023-07-29 17:02:11,628 Epoch: [315][600/631] Time 1.592s (1.555s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000520 (0.000528) Accuracy 0.926 (0.908) loss_pose: 0.000178 loss_cons: 0.000342 -2023-07-29 17:02:57,596 Epoch: [315][630/631] Time 1.512s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000490 (0.000528) Accuracy 0.892 (0.908) loss_pose: 0.000216 loss_cons: 0.000275 -2023-07-29 17:03:04,784 Test: [0/199] Time 5.020 (5.020) Loss 0.0002 (0.0002) Accuracy 0.905 (0.905) -2023-07-29 17:03:24,948 Test: [100/199] Time 0.196 (0.252) Loss 0.0002 (0.0002) Accuracy 0.938 (0.885) -2023-07-29 17:03:43,511 Test: [198/199] Time 0.135 (0.221) Loss 0.0002 (0.0002) Accuracy 0.922 (0.883) -2023-07-29 17:03:44,586 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 17:03:53,866 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:03:53,914 The Predictions of Net 1 -2023-07-29 17:03:53,915 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:03:53,916 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:03:53,916 | 256x192_pose_dual_101_d256d256d256 | 0.7572 | 0.9356 | 0.8359 | 0.7341 | 0.7990 | 0.7880 | 0.9441 | 0.8552 | 0.7567 | 0.8359 | -2023-07-29 17:03:54,613 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 17:03:59,388 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:03:59,421 The Predictions of Net 2 -2023-07-29 17:03:59,422 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:03:59,422 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:03:59,422 | 256x192_pose_dual_101_d256d256d256 | 0.7598 | 0.9353 | 0.8363 | 0.7358 | 0.8031 | 0.7905 | 0.9425 | 0.8599 | 0.7585 | 0.8394 | -2023-07-29 17:04:00,120 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 17:04:04,869 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:04:04,902 Ensemble Predictions -2023-07-29 17:04:04,903 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:04:04,903 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:04:04,904 | 256x192_pose_dual_101_d256d256d256 | 0.7664 | 0.9360 | 0.8469 | 0.7418 | 0.8089 | 0.7957 | 0.9466 | 0.8632 | 0.7644 | 0.8438 | -2023-07-29 17:04:04,905 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 17:04:13,154 Epoch: [316][0/631] Time 5.360s (5.360s) Speed 6.0 samples/s Data 3.656s (3.656s) Loss 0.000432 (0.000432) Accuracy 0.930 (0.930) loss_pose: 0.000180 loss_cons: 0.000251 -2023-07-29 17:06:48,869 Epoch: [316][100/631] Time 1.600s (1.595s) Speed 20.0 samples/s Data 0.000s (0.037s) Loss 0.000607 (0.000522) Accuracy 0.954 (0.910) loss_pose: 0.000142 loss_cons: 0.000465 -2023-07-29 17:09:24,679 Epoch: [316][200/631] Time 1.510s (1.577s) Speed 21.2 samples/s Data 0.000s (0.019s) Loss 0.000501 (0.000525) Accuracy 0.934 (0.910) loss_pose: 0.000169 loss_cons: 0.000332 -2023-07-29 17:12:00,044 Epoch: [316][300/631] Time 1.577s (1.569s) Speed 20.3 samples/s Data 0.000s (0.013s) Loss 0.000603 (0.000526) Accuracy 0.935 (0.909) loss_pose: 0.000179 loss_cons: 0.000424 -2023-07-29 17:14:34,611 Epoch: [316][400/631] Time 1.598s (1.563s) Speed 20.0 samples/s Data 0.001s (0.010s) Loss 0.000487 (0.000526) Accuracy 0.889 (0.909) loss_pose: 0.000197 loss_cons: 0.000290 -2023-07-29 17:17:08,243 Epoch: [316][500/631] Time 1.515s (1.558s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000460 (0.000525) Accuracy 0.903 (0.908) loss_pose: 0.000187 loss_cons: 0.000273 -2023-07-29 17:19:45,086 Epoch: [316][600/631] Time 1.611s (1.560s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000641 (0.000526) Accuracy 0.913 (0.909) loss_pose: 0.000203 loss_cons: 0.000438 -2023-07-29 17:20:33,268 Epoch: [316][630/631] Time 1.602s (1.562s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000535 (0.000526) Accuracy 0.888 (0.909) loss_pose: 0.000189 loss_cons: 0.000346 -2023-07-29 17:20:41,509 Test: [0/199] Time 6.064 (6.064) Loss 0.0002 (0.0002) Accuracy 0.909 (0.909) -2023-07-29 17:21:01,446 Test: [100/199] Time 0.202 (0.258) Loss 0.0002 (0.0002) Accuracy 0.936 (0.887) -2023-07-29 17:21:20,133 Test: [198/199] Time 0.216 (0.225) Loss 0.0002 (0.0002) Accuracy 0.915 (0.884) -2023-07-29 17:21:25,120 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 17:21:33,224 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:21:33,260 The Predictions of Net 1 -2023-07-29 17:21:33,261 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:21:33,261 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:21:33,261 | 256x192_pose_dual_101_d256d256d256 | 0.7581 | 0.9355 | 0.8354 | 0.7334 | 0.7999 | 0.7887 | 0.9451 | 0.8564 | 0.7571 | 0.8367 | -2023-07-29 17:21:33,951 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 17:21:38,687 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:21:38,723 The Predictions of Net 2 -2023-07-29 17:21:38,724 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:21:38,724 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:21:38,724 | 256x192_pose_dual_101_d256d256d256 | 0.7618 | 0.9356 | 0.8362 | 0.7361 | 0.8033 | 0.7909 | 0.9438 | 0.8577 | 0.7594 | 0.8389 | -2023-07-29 17:21:39,408 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 17:21:44,116 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:21:44,153 Ensemble Predictions -2023-07-29 17:21:44,154 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:21:44,154 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:21:44,154 | 256x192_pose_dual_101_d256d256d256 | 0.7666 | 0.9360 | 0.8471 | 0.7422 | 0.8078 | 0.7958 | 0.9458 | 0.8648 | 0.7641 | 0.8442 | -2023-07-29 17:21:44,155 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 17:21:52,351 Epoch: [317][0/631] Time 5.302s (5.302s) Speed 6.0 samples/s Data 3.550s (3.550s) Loss 0.000506 (0.000506) Accuracy 0.946 (0.946) loss_pose: 0.000150 loss_cons: 0.000355 -2023-07-29 17:24:27,683 Epoch: [317][100/631] Time 1.530s (1.590s) Speed 20.9 samples/s Data 0.000s (0.036s) Loss 0.000442 (0.000518) Accuracy 0.924 (0.908) loss_pose: 0.000169 loss_cons: 0.000273 -2023-07-29 17:27:01,708 Epoch: [317][200/631] Time 1.507s (1.565s) Speed 21.2 samples/s Data 0.000s (0.018s) Loss 0.000500 (0.000521) Accuracy 0.896 (0.907) loss_pose: 0.000201 loss_cons: 0.000299 -2023-07-29 17:29:35,814 Epoch: [317][300/631] Time 1.516s (1.557s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000517 (0.000523) Accuracy 0.930 (0.907) loss_pose: 0.000164 loss_cons: 0.000352 -2023-07-29 17:32:11,409 Epoch: [317][400/631] Time 1.623s (1.557s) Speed 19.7 samples/s Data 0.000s (0.009s) Loss 0.000597 (0.000522) Accuracy 0.915 (0.908) loss_pose: 0.000192 loss_cons: 0.000405 -2023-07-29 17:34:46,069 Epoch: [317][500/631] Time 1.525s (1.555s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000423 (0.000524) Accuracy 0.943 (0.908) loss_pose: 0.000165 loss_cons: 0.000258 -2023-07-29 17:37:20,504 Epoch: [317][600/631] Time 1.510s (1.553s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000496 (0.000523) Accuracy 0.900 (0.908) loss_pose: 0.000199 loss_cons: 0.000297 -2023-07-29 17:38:05,906 Epoch: [317][630/631] Time 1.521s (1.551s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000423 (0.000523) Accuracy 0.929 (0.908) loss_pose: 0.000161 loss_cons: 0.000262 -2023-07-29 17:38:13,834 Test: [0/199] Time 5.604 (5.604) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-29 17:38:34,038 Test: [100/199] Time 0.206 (0.256) Loss 0.0002 (0.0002) Accuracy 0.936 (0.885) -2023-07-29 17:38:53,203 Test: [198/199] Time 0.264 (0.226) Loss 0.0002 (0.0002) Accuracy 0.915 (0.883) -2023-07-29 17:38:54,436 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 17:39:03,868 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:39:03,903 The Predictions of Net 1 -2023-07-29 17:39:03,904 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:39:03,905 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:39:03,905 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9356 | 0.8355 | 0.7331 | 0.7982 | 0.7882 | 0.9454 | 0.8552 | 0.7569 | 0.8362 | -2023-07-29 17:39:06,783 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 17:39:11,567 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:39:11,604 The Predictions of Net 2 -2023-07-29 17:39:11,604 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:39:11,605 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:39:11,605 | 256x192_pose_dual_101_d256d256d256 | 0.7616 | 0.9357 | 0.8361 | 0.7360 | 0.8042 | 0.7913 | 0.9449 | 0.8588 | 0.7590 | 0.8405 | -2023-07-29 17:39:12,292 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 17:39:17,100 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:39:17,141 Ensemble Predictions -2023-07-29 17:39:17,142 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:39:17,142 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:39:17,142 | 256x192_pose_dual_101_d256d256d256 | 0.7660 | 0.9359 | 0.8463 | 0.7428 | 0.8073 | 0.7950 | 0.9463 | 0.8622 | 0.7639 | 0.8431 | -2023-07-29 17:39:17,143 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 17:39:25,349 Epoch: [318][0/631] Time 4.994s (4.994s) Speed 6.4 samples/s Data 3.287s (3.287s) Loss 0.000465 (0.000465) Accuracy 0.932 (0.932) loss_pose: 0.000184 loss_cons: 0.000282 -2023-07-29 17:42:00,205 Epoch: [318][100/631] Time 1.563s (1.583s) Speed 20.5 samples/s Data 0.000s (0.033s) Loss 0.000503 (0.000519) Accuracy 0.921 (0.909) loss_pose: 0.000174 loss_cons: 0.000329 -2023-07-29 17:44:34,483 Epoch: [318][200/631] Time 1.527s (1.563s) Speed 21.0 samples/s Data 0.000s (0.017s) Loss 0.000539 (0.000522) Accuracy 0.919 (0.908) loss_pose: 0.000198 loss_cons: 0.000341 -2023-07-29 17:47:08,876 Epoch: [318][300/631] Time 1.526s (1.557s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000670 (0.000521) Accuracy 0.908 (0.909) loss_pose: 0.000203 loss_cons: 0.000467 -2023-07-29 17:49:42,132 Epoch: [318][400/631] Time 1.525s (1.551s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000536 (0.000524) Accuracy 0.924 (0.909) loss_pose: 0.000168 loss_cons: 0.000368 -2023-07-29 17:52:16,819 Epoch: [318][500/631] Time 1.599s (1.550s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000565 (0.000524) Accuracy 0.908 (0.908) loss_pose: 0.000194 loss_cons: 0.000370 -2023-07-29 17:54:50,900 Epoch: [318][600/631] Time 1.509s (1.548s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000540 (0.000523) Accuracy 0.905 (0.908) loss_pose: 0.000192 loss_cons: 0.000349 -2023-07-29 17:55:36,296 Epoch: [318][630/631] Time 1.509s (1.547s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000449 (0.000523) Accuracy 0.935 (0.908) loss_pose: 0.000137 loss_cons: 0.000312 -2023-07-29 17:55:44,460 Test: [0/199] Time 6.172 (6.172) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-29 17:56:04,217 Test: [100/199] Time 0.197 (0.257) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-29 17:56:22,929 Test: [198/199] Time 0.138 (0.225) Loss 0.0002 (0.0002) Accuracy 0.917 (0.884) -2023-07-29 17:56:24,885 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 17:56:34,349 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:56:34,387 The Predictions of Net 1 -2023-07-29 17:56:34,388 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:56:34,389 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:56:34,389 | 256x192_pose_dual_101_d256d256d256 | 0.7568 | 0.9354 | 0.8363 | 0.7337 | 0.7977 | 0.7882 | 0.9441 | 0.8569 | 0.7566 | 0.8365 | -2023-07-29 17:56:35,099 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 17:56:39,983 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:56:40,019 The Predictions of Net 2 -2023-07-29 17:56:40,019 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:56:40,020 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:56:40,020 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9357 | 0.8363 | 0.7356 | 0.8030 | 0.7902 | 0.9447 | 0.8583 | 0.7581 | 0.8391 | -2023-07-29 17:56:42,946 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 17:56:47,765 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 17:56:47,802 Ensemble Predictions -2023-07-29 17:56:47,803 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 17:56:47,803 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 17:56:47,803 | 256x192_pose_dual_101_d256d256d256 | 0.7657 | 0.9359 | 0.8465 | 0.7420 | 0.8070 | 0.7950 | 0.9455 | 0.8619 | 0.7634 | 0.8432 | -2023-07-29 17:56:47,804 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 17:56:56,038 Epoch: [319][0/631] Time 5.012s (5.012s) Speed 6.4 samples/s Data 3.231s (3.231s) Loss 0.000478 (0.000478) Accuracy 0.937 (0.937) loss_pose: 0.000143 loss_cons: 0.000335 -2023-07-29 17:59:30,834 Epoch: [319][100/631] Time 1.614s (1.582s) Speed 19.8 samples/s Data 0.000s (0.032s) Loss 0.000490 (0.000524) Accuracy 0.904 (0.912) loss_pose: 0.000190 loss_cons: 0.000300 -2023-07-29 18:02:06,213 Epoch: [319][200/631] Time 1.514s (1.568s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000569 (0.000525) Accuracy 0.923 (0.909) loss_pose: 0.000191 loss_cons: 0.000378 -2023-07-29 18:04:41,454 Epoch: [319][300/631] Time 1.593s (1.563s) Speed 20.1 samples/s Data 0.000s (0.011s) Loss 0.000525 (0.000523) Accuracy 0.866 (0.908) loss_pose: 0.000195 loss_cons: 0.000330 -2023-07-29 18:07:20,812 Epoch: [319][400/631] Time 1.522s (1.571s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000530 (0.000523) Accuracy 0.931 (0.909) loss_pose: 0.000154 loss_cons: 0.000377 -2023-07-29 18:10:02,712 Epoch: [319][500/631] Time 1.516s (1.580s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000498 (0.000522) Accuracy 0.893 (0.910) loss_pose: 0.000186 loss_cons: 0.000312 -2023-07-29 18:12:38,404 Epoch: [319][600/631] Time 1.508s (1.576s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000455 (0.000523) Accuracy 0.949 (0.910) loss_pose: 0.000143 loss_cons: 0.000312 -2023-07-29 18:13:23,764 Epoch: [319][630/631] Time 1.510s (1.573s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000535 (0.000523) Accuracy 0.909 (0.910) loss_pose: 0.000215 loss_cons: 0.000320 -2023-07-29 18:13:31,782 Test: [0/199] Time 5.949 (5.949) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-29 18:13:51,378 Test: [100/199] Time 0.196 (0.253) Loss 0.0002 (0.0002) Accuracy 0.931 (0.886) -2023-07-29 18:14:10,000 Test: [198/199] Time 0.134 (0.222) Loss 0.0002 (0.0002) Accuracy 0.925 (0.883) -2023-07-29 18:14:11,617 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 18:14:21,666 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:14:21,706 The Predictions of Net 1 -2023-07-29 18:14:21,706 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:14:21,707 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:14:21,707 | 256x192_pose_dual_101_d256d256d256 | 0.7571 | 0.9359 | 0.8359 | 0.7341 | 0.7986 | 0.7885 | 0.9454 | 0.8566 | 0.7572 | 0.8361 | -2023-07-29 18:14:22,403 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 18:14:27,173 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:14:27,211 The Predictions of Net 2 -2023-07-29 18:14:27,212 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:14:27,212 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:14:27,212 | 256x192_pose_dual_101_d256d256d256 | 0.7609 | 0.9355 | 0.8364 | 0.7359 | 0.8034 | 0.7909 | 0.9444 | 0.8593 | 0.7588 | 0.8396 | -2023-07-29 18:14:27,904 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 18:14:32,769 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:14:32,816 Ensemble Predictions -2023-07-29 18:14:32,817 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:14:32,818 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:14:32,818 | 256x192_pose_dual_101_d256d256d256 | 0.7683 | 0.9362 | 0.8463 | 0.7431 | 0.8093 | 0.7965 | 0.9476 | 0.8624 | 0.7653 | 0.8443 | -2023-07-29 18:14:32,819 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 18:14:41,146 Epoch: [320][0/631] Time 5.215s (5.215s) Speed 6.1 samples/s Data 3.516s (3.516s) Loss 0.000488 (0.000488) Accuracy 0.894 (0.894) loss_pose: 0.000186 loss_cons: 0.000302 -2023-07-29 18:17:16,650 Epoch: [320][100/631] Time 1.527s (1.591s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000484 (0.000521) Accuracy 0.940 (0.909) loss_pose: 0.000166 loss_cons: 0.000318 -2023-07-29 18:19:53,130 Epoch: [320][200/631] Time 1.533s (1.578s) Speed 20.9 samples/s Data 0.000s (0.018s) Loss 0.000564 (0.000524) Accuracy 0.884 (0.909) loss_pose: 0.000187 loss_cons: 0.000377 -2023-07-29 18:22:27,219 Epoch: [320][300/631] Time 1.516s (1.566s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000535 (0.000526) Accuracy 0.881 (0.910) loss_pose: 0.000194 loss_cons: 0.000342 -2023-07-29 18:25:01,311 Epoch: [320][400/631] Time 1.602s (1.560s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000555 (0.000527) Accuracy 0.904 (0.910) loss_pose: 0.000173 loss_cons: 0.000383 -2023-07-29 18:27:35,642 Epoch: [320][500/631] Time 1.513s (1.556s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000404 (0.000525) Accuracy 0.933 (0.910) loss_pose: 0.000147 loss_cons: 0.000257 -2023-07-29 18:30:09,044 Epoch: [320][600/631] Time 1.505s (1.553s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000571 (0.000525) Accuracy 0.892 (0.910) loss_pose: 0.000210 loss_cons: 0.000361 -2023-07-29 18:30:56,617 Epoch: [320][630/631] Time 1.600s (1.554s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000522 (0.000525) Accuracy 0.914 (0.910) loss_pose: 0.000201 loss_cons: 0.000321 -2023-07-29 18:31:04,750 Test: [0/199] Time 5.934 (5.934) Loss 0.0002 (0.0002) Accuracy 0.908 (0.908) -2023-07-29 18:31:24,701 Test: [100/199] Time 0.199 (0.256) Loss 0.0002 (0.0002) Accuracy 0.929 (0.886) -2023-07-29 18:31:43,549 Test: [198/199] Time 0.222 (0.225) Loss 0.0002 (0.0002) Accuracy 0.915 (0.883) -2023-07-29 18:31:44,897 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 18:31:54,147 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:31:54,187 The Predictions of Net 1 -2023-07-29 18:31:54,188 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:31:54,189 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:31:54,189 | 256x192_pose_dual_101_d256d256d256 | 0.7579 | 0.9355 | 0.8357 | 0.7345 | 0.7973 | 0.7886 | 0.9447 | 0.8558 | 0.7577 | 0.8361 | -2023-07-29 18:31:54,885 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 18:31:59,663 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:31:59,697 The Predictions of Net 2 -2023-07-29 18:31:59,698 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:31:59,698 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:31:59,698 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9354 | 0.8363 | 0.7366 | 0.8032 | 0.7901 | 0.9422 | 0.8585 | 0.7585 | 0.8387 | -2023-07-29 18:32:00,388 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 18:32:05,179 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:32:05,214 Ensemble Predictions -2023-07-29 18:32:05,214 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:32:05,215 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:32:05,215 | 256x192_pose_dual_101_d256d256d256 | 0.7675 | 0.9358 | 0.8469 | 0.7429 | 0.8080 | 0.7961 | 0.9460 | 0.8638 | 0.7648 | 0.8442 | -2023-07-29 18:32:05,216 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 18:32:13,637 Epoch: [321][0/631] Time 5.506s (5.506s) Speed 5.8 samples/s Data 3.802s (3.802s) Loss 0.000502 (0.000502) Accuracy 0.897 (0.897) loss_pose: 0.000178 loss_cons: 0.000324 -2023-07-29 18:34:48,713 Epoch: [321][100/631] Time 1.530s (1.590s) Speed 20.9 samples/s Data 0.001s (0.038s) Loss 0.000553 (0.000519) Accuracy 0.884 (0.909) loss_pose: 0.000239 loss_cons: 0.000314 -2023-07-29 18:37:23,155 Epoch: [321][200/631] Time 1.533s (1.567s) Speed 20.9 samples/s Data 0.000s (0.019s) Loss 0.000577 (0.000519) Accuracy 0.908 (0.908) loss_pose: 0.000193 loss_cons: 0.000383 -2023-07-29 18:39:56,643 Epoch: [321][300/631] Time 1.598s (1.557s) Speed 20.0 samples/s Data 0.000s (0.013s) Loss 0.000591 (0.000525) Accuracy 0.925 (0.909) loss_pose: 0.000177 loss_cons: 0.000414 -2023-07-29 18:42:30,657 Epoch: [321][400/631] Time 1.519s (1.552s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000548 (0.000527) Accuracy 0.892 (0.908) loss_pose: 0.000208 loss_cons: 0.000340 -2023-07-29 18:45:04,299 Epoch: [321][500/631] Time 1.611s (1.549s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000481 (0.000525) Accuracy 0.926 (0.908) loss_pose: 0.000194 loss_cons: 0.000287 -2023-07-29 18:47:37,806 Epoch: [321][600/631] Time 1.519s (1.547s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000513 (0.000525) Accuracy 0.937 (0.908) loss_pose: 0.000181 loss_cons: 0.000331 -2023-07-29 18:48:23,209 Epoch: [321][630/631] Time 1.537s (1.545s) Speed 20.8 samples/s Data 0.000s (0.006s) Loss 0.000552 (0.000525) Accuracy 0.878 (0.908) loss_pose: 0.000188 loss_cons: 0.000364 -2023-07-29 18:48:31,716 Test: [0/199] Time 6.389 (6.389) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-29 18:48:51,599 Test: [100/199] Time 0.199 (0.260) Loss 0.0002 (0.0002) Accuracy 0.931 (0.886) -2023-07-29 18:49:10,507 Test: [198/199] Time 0.227 (0.227) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-29 18:49:11,663 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 18:49:23,566 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:49:23,603 The Predictions of Net 1 -2023-07-29 18:49:23,604 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:49:23,604 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:49:23,604 | 256x192_pose_dual_101_d256d256d256 | 0.7576 | 0.9355 | 0.8353 | 0.7335 | 0.7981 | 0.7886 | 0.9441 | 0.8542 | 0.7574 | 0.8365 | -2023-07-29 18:49:24,293 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 18:49:29,085 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:49:29,121 The Predictions of Net 2 -2023-07-29 18:49:29,122 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:49:29,122 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:49:29,122 | 256x192_pose_dual_101_d256d256d256 | 0.7600 | 0.9354 | 0.8364 | 0.7360 | 0.8014 | 0.7898 | 0.9429 | 0.8569 | 0.7584 | 0.8380 | -2023-07-29 18:49:29,811 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 18:49:34,565 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 18:49:34,602 Ensemble Predictions -2023-07-29 18:49:34,603 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 18:49:34,603 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 18:49:34,603 | 256x192_pose_dual_101_d256d256d256 | 0.7670 | 0.9360 | 0.8468 | 0.7430 | 0.8076 | 0.7959 | 0.9460 | 0.8634 | 0.7650 | 0.8435 | -2023-07-29 18:49:34,604 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 18:49:42,903 Epoch: [322][0/631] Time 5.279s (5.279s) Speed 6.1 samples/s Data 3.554s (3.554s) Loss 0.000532 (0.000532) Accuracy 0.911 (0.911) loss_pose: 0.000232 loss_cons: 0.000300 -2023-07-29 18:52:19,245 Epoch: [322][100/631] Time 1.516s (1.600s) Speed 21.1 samples/s Data 0.000s (0.036s) Loss 0.000527 (0.000515) Accuracy 0.942 (0.911) loss_pose: 0.000149 loss_cons: 0.000378 -2023-07-29 18:54:53,168 Epoch: [322][200/631] Time 1.511s (1.570s) Speed 21.2 samples/s Data 0.000s (0.018s) Loss 0.000498 (0.000520) Accuracy 0.906 (0.909) loss_pose: 0.000174 loss_cons: 0.000324 -2023-07-29 18:57:26,678 Epoch: [322][300/631] Time 1.527s (1.558s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000614 (0.000520) Accuracy 0.909 (0.911) loss_pose: 0.000177 loss_cons: 0.000438 -2023-07-29 19:00:01,858 Epoch: [322][400/631] Time 1.525s (1.557s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000685 (0.000520) Accuracy 0.881 (0.909) loss_pose: 0.000220 loss_cons: 0.000465 -2023-07-29 19:02:37,209 Epoch: [322][500/631] Time 1.616s (1.556s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000537 (0.000521) Accuracy 0.891 (0.908) loss_pose: 0.000218 loss_cons: 0.000319 -2023-07-29 19:05:11,102 Epoch: [322][600/631] Time 1.506s (1.553s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000509 (0.000523) Accuracy 0.944 (0.908) loss_pose: 0.000173 loss_cons: 0.000336 -2023-07-29 19:05:57,650 Epoch: [322][630/631] Time 1.587s (1.553s) Speed 20.2 samples/s Data 0.000s (0.006s) Loss 0.000532 (0.000523) Accuracy 0.927 (0.908) loss_pose: 0.000177 loss_cons: 0.000354 -2023-07-29 19:06:05,249 Test: [0/199] Time 5.073 (5.073) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-29 19:06:25,490 Test: [100/199] Time 0.198 (0.252) Loss 0.0002 (0.0002) Accuracy 0.931 (0.887) -2023-07-29 19:06:44,022 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.923 (0.883) -2023-07-29 19:06:45,271 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 19:06:54,823 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:06:54,866 The Predictions of Net 1 -2023-07-29 19:06:54,866 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:06:54,867 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:06:54,868 | 256x192_pose_dual_101_d256d256d256 | 0.7571 | 0.9354 | 0.8359 | 0.7336 | 0.7983 | 0.7885 | 0.9444 | 0.8566 | 0.7572 | 0.8361 | -2023-07-29 19:06:55,565 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 19:07:02,490 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:07:02,523 The Predictions of Net 2 -2023-07-29 19:07:02,524 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:07:02,524 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:07:02,524 | 256x192_pose_dual_101_d256d256d256 | 0.7620 | 0.9354 | 0.8363 | 0.7359 | 0.8031 | 0.7904 | 0.9433 | 0.8588 | 0.7590 | 0.8383 | -2023-07-29 19:07:03,214 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 19:07:08,023 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:07:08,057 Ensemble Predictions -2023-07-29 19:07:08,058 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:07:08,058 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:07:08,058 | 256x192_pose_dual_101_d256d256d256 | 0.7657 | 0.9359 | 0.8467 | 0.7419 | 0.8065 | 0.7950 | 0.9462 | 0.8627 | 0.7628 | 0.8438 | -2023-07-29 19:07:08,060 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 19:07:17,187 Epoch: [323][0/631] Time 5.954s (5.954s) Speed 5.4 samples/s Data 4.248s (4.248s) Loss 0.000457 (0.000457) Accuracy 0.945 (0.945) loss_pose: 0.000162 loss_cons: 0.000296 -2023-07-29 19:09:52,448 Epoch: [323][100/631] Time 1.604s (1.596s) Speed 19.9 samples/s Data 0.000s (0.042s) Loss 0.000493 (0.000513) Accuracy 0.899 (0.910) loss_pose: 0.000179 loss_cons: 0.000314 -2023-07-29 19:12:27,050 Epoch: [323][200/631] Time 1.605s (1.571s) Speed 19.9 samples/s Data 0.000s (0.021s) Loss 0.000531 (0.000515) Accuracy 0.910 (0.912) loss_pose: 0.000168 loss_cons: 0.000363 -2023-07-29 19:15:01,723 Epoch: [323][300/631] Time 1.609s (1.563s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000613 (0.000520) Accuracy 0.929 (0.911) loss_pose: 0.000187 loss_cons: 0.000426 -2023-07-29 19:17:36,906 Epoch: [323][400/631] Time 1.513s (1.560s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000511 (0.000519) Accuracy 0.921 (0.912) loss_pose: 0.000191 loss_cons: 0.000320 -2023-07-29 19:20:09,905 Epoch: [323][500/631] Time 1.525s (1.554s) Speed 21.0 samples/s Data 0.001s (0.009s) Loss 0.000475 (0.000520) Accuracy 0.931 (0.911) loss_pose: 0.000150 loss_cons: 0.000325 -2023-07-29 19:22:42,822 Epoch: [323][600/631] Time 1.508s (1.550s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000524 (0.000520) Accuracy 0.918 (0.911) loss_pose: 0.000178 loss_cons: 0.000346 -2023-07-29 19:23:28,269 Epoch: [323][630/631] Time 1.512s (1.548s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000593 (0.000520) Accuracy 0.927 (0.911) loss_pose: 0.000160 loss_cons: 0.000433 -2023-07-29 19:23:34,576 Test: [0/199] Time 3.998 (3.998) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-29 19:23:55,809 Test: [100/199] Time 0.201 (0.253) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-29 19:24:14,779 Test: [198/199] Time 0.294 (0.224) Loss 0.0002 (0.0002) Accuracy 0.910 (0.884) -2023-07-29 19:24:16,490 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 19:24:26,163 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:24:26,206 The Predictions of Net 1 -2023-07-29 19:24:26,207 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:24:26,207 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:24:26,207 | 256x192_pose_dual_101_d256d256d256 | 0.7579 | 0.9350 | 0.8365 | 0.7340 | 0.8003 | 0.7895 | 0.9440 | 0.8583 | 0.7579 | 0.8378 | -2023-07-29 19:24:26,901 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 19:24:31,697 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:24:31,732 The Predictions of Net 2 -2023-07-29 19:24:31,733 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:24:31,734 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:24:31,734 | 256x192_pose_dual_101_d256d256d256 | 0.7627 | 0.9357 | 0.8364 | 0.7382 | 0.8028 | 0.7914 | 0.9443 | 0.8586 | 0.7605 | 0.8387 | -2023-07-29 19:24:32,427 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 19:24:39,257 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:24:39,292 Ensemble Predictions -2023-07-29 19:24:39,293 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:24:39,293 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:24:39,293 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9361 | 0.8466 | 0.7439 | 0.8100 | 0.7967 | 0.9473 | 0.8643 | 0.7647 | 0.8456 | -2023-07-29 19:24:39,294 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 19:24:48,399 Epoch: [324][0/631] Time 5.153s (5.153s) Speed 6.2 samples/s Data 3.422s (3.422s) Loss 0.000473 (0.000473) Accuracy 0.920 (0.920) loss_pose: 0.000196 loss_cons: 0.000277 -2023-07-29 19:27:24,207 Epoch: [324][100/631] Time 1.514s (1.594s) Speed 21.1 samples/s Data 0.000s (0.034s) Loss 0.000479 (0.000526) Accuracy 0.925 (0.911) loss_pose: 0.000170 loss_cons: 0.000309 -2023-07-29 19:30:00,299 Epoch: [324][200/631] Time 1.602s (1.577s) Speed 20.0 samples/s Data 0.000s (0.017s) Loss 0.000531 (0.000524) Accuracy 0.921 (0.911) loss_pose: 0.000189 loss_cons: 0.000342 -2023-07-29 19:32:36,312 Epoch: [324][300/631] Time 1.512s (1.572s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000660 (0.000525) Accuracy 0.943 (0.910) loss_pose: 0.000157 loss_cons: 0.000503 -2023-07-29 19:35:11,049 Epoch: [324][400/631] Time 1.526s (1.566s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000543 (0.000524) Accuracy 0.901 (0.910) loss_pose: 0.000190 loss_cons: 0.000354 -2023-07-29 19:37:46,406 Epoch: [324][500/631] Time 1.543s (1.563s) Speed 20.7 samples/s Data 0.000s (0.007s) Loss 0.000563 (0.000525) Accuracy 0.918 (0.910) loss_pose: 0.000175 loss_cons: 0.000388 -2023-07-29 19:40:20,375 Epoch: [324][600/631] Time 1.515s (1.559s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000610 (0.000526) Accuracy 0.922 (0.910) loss_pose: 0.000193 loss_cons: 0.000417 -2023-07-29 19:41:05,800 Epoch: [324][630/631] Time 1.508s (1.557s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000531 (0.000526) Accuracy 0.907 (0.910) loss_pose: 0.000171 loss_cons: 0.000360 -2023-07-29 19:41:13,305 Test: [0/199] Time 4.954 (4.954) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-29 19:41:33,477 Test: [100/199] Time 0.208 (0.250) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-29 19:41:52,232 Test: [198/199] Time 0.162 (0.221) Loss 0.0002 (0.0002) Accuracy 0.920 (0.883) -2023-07-29 19:41:53,573 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 19:42:03,443 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:42:03,478 The Predictions of Net 1 -2023-07-29 19:42:03,479 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:42:03,480 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:42:03,480 | 256x192_pose_dual_101_d256d256d256 | 0.7581 | 0.9357 | 0.8356 | 0.7369 | 0.7984 | 0.7898 | 0.9460 | 0.8571 | 0.7592 | 0.8365 | -2023-07-29 19:42:04,172 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 19:42:08,936 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:42:08,973 The Predictions of Net 2 -2023-07-29 19:42:08,974 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:42:08,974 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:42:08,974 | 256x192_pose_dual_101_d256d256d256 | 0.7630 | 0.9354 | 0.8362 | 0.7384 | 0.8016 | 0.7916 | 0.9436 | 0.8591 | 0.7610 | 0.8384 | -2023-07-29 19:42:09,663 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 19:42:14,399 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:42:14,433 Ensemble Predictions -2023-07-29 19:42:14,434 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:42:14,434 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:42:14,435 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9360 | 0.8469 | 0.7431 | 0.8085 | 0.7964 | 0.9469 | 0.8632 | 0.7649 | 0.8446 | -2023-07-29 19:42:14,436 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 19:42:24,145 Epoch: [325][0/631] Time 5.597s (5.597s) Speed 5.7 samples/s Data 3.908s (3.908s) Loss 0.000502 (0.000502) Accuracy 0.910 (0.910) loss_pose: 0.000204 loss_cons: 0.000298 -2023-07-29 19:44:59,421 Epoch: [325][100/631] Time 1.519s (1.593s) Speed 21.1 samples/s Data 0.001s (0.039s) Loss 0.000516 (0.000519) Accuracy 0.936 (0.909) loss_pose: 0.000170 loss_cons: 0.000346 -2023-07-29 19:47:33,473 Epoch: [325][200/631] Time 1.523s (1.567s) Speed 21.0 samples/s Data 0.000s (0.020s) Loss 0.000481 (0.000521) Accuracy 0.918 (0.907) loss_pose: 0.000176 loss_cons: 0.000305 -2023-07-29 19:50:08,073 Epoch: [325][300/631] Time 1.625s (1.560s) Speed 19.7 samples/s Data 0.000s (0.013s) Loss 0.000583 (0.000521) Accuracy 0.924 (0.909) loss_pose: 0.000167 loss_cons: 0.000416 -2023-07-29 19:52:42,179 Epoch: [325][400/631] Time 1.524s (1.555s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000484 (0.000522) Accuracy 0.943 (0.908) loss_pose: 0.000175 loss_cons: 0.000309 -2023-07-29 19:55:16,135 Epoch: [325][500/631] Time 1.536s (1.552s) Speed 20.8 samples/s Data 0.000s (0.008s) Loss 0.000418 (0.000522) Accuracy 0.919 (0.908) loss_pose: 0.000168 loss_cons: 0.000250 -2023-07-29 19:57:51,477 Epoch: [325][600/631] Time 1.514s (1.552s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000533 (0.000522) Accuracy 0.817 (0.909) loss_pose: 0.000250 loss_cons: 0.000282 -2023-07-29 19:58:36,868 Epoch: [325][630/631] Time 1.509s (1.550s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000468 (0.000522) Accuracy 0.908 (0.909) loss_pose: 0.000178 loss_cons: 0.000291 -2023-07-29 19:58:44,632 Test: [0/199] Time 5.414 (5.414) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-29 19:59:04,867 Test: [100/199] Time 0.196 (0.255) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-29 19:59:23,607 Test: [198/199] Time 0.136 (0.224) Loss 0.0002 (0.0002) Accuracy 0.917 (0.884) -2023-07-29 19:59:25,460 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 19:59:37,143 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:59:37,180 The Predictions of Net 1 -2023-07-29 19:59:37,181 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:59:37,182 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:59:37,182 | 256x192_pose_dual_101_d256d256d256 | 0.7583 | 0.9356 | 0.8353 | 0.7368 | 0.7997 | 0.7895 | 0.9454 | 0.8560 | 0.7588 | 0.8365 | -2023-07-29 19:59:37,877 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 19:59:42,692 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:59:42,731 The Predictions of Net 2 -2023-07-29 19:59:42,732 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:59:42,732 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:59:42,732 | 256x192_pose_dual_101_d256d256d256 | 0.7611 | 0.9357 | 0.8365 | 0.7382 | 0.8024 | 0.7910 | 0.9455 | 0.8585 | 0.7595 | 0.8391 | -2023-07-29 19:59:43,416 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 19:59:48,173 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 19:59:48,206 Ensemble Predictions -2023-07-29 19:59:48,207 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 19:59:48,207 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 19:59:48,208 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9361 | 0.8469 | 0.7433 | 0.8093 | 0.7966 | 0.9466 | 0.8640 | 0.7645 | 0.8457 | -2023-07-29 19:59:48,209 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 19:59:56,982 Epoch: [326][0/631] Time 5.810s (5.810s) Speed 5.5 samples/s Data 4.133s (4.133s) Loss 0.000500 (0.000500) Accuracy 0.909 (0.909) loss_pose: 0.000194 loss_cons: 0.000306 -2023-07-29 20:02:31,253 Epoch: [326][100/631] Time 1.537s (1.585s) Speed 20.8 samples/s Data 0.000s (0.041s) Loss 0.000483 (0.000514) Accuracy 0.933 (0.910) loss_pose: 0.000176 loss_cons: 0.000307 -2023-07-29 20:05:07,231 Epoch: [326][200/631] Time 1.589s (1.572s) Speed 20.1 samples/s Data 0.000s (0.021s) Loss 0.000521 (0.000518) Accuracy 0.891 (0.910) loss_pose: 0.000181 loss_cons: 0.000340 -2023-07-29 20:07:42,408 Epoch: [326][300/631] Time 1.602s (1.566s) Speed 20.0 samples/s Data 0.000s (0.014s) Loss 0.000520 (0.000521) Accuracy 0.905 (0.909) loss_pose: 0.000170 loss_cons: 0.000350 -2023-07-29 20:10:16,312 Epoch: [326][400/631] Time 1.517s (1.559s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000533 (0.000524) Accuracy 0.904 (0.908) loss_pose: 0.000161 loss_cons: 0.000372 -2023-07-29 20:12:49,674 Epoch: [326][500/631] Time 1.510s (1.554s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000490 (0.000523) Accuracy 0.900 (0.908) loss_pose: 0.000178 loss_cons: 0.000312 -2023-07-29 20:15:23,456 Epoch: [326][600/631] Time 1.508s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000590 (0.000523) Accuracy 0.897 (0.908) loss_pose: 0.000200 loss_cons: 0.000390 -2023-07-29 20:16:09,736 Epoch: [326][630/631] Time 1.588s (1.551s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000451 (0.000523) Accuracy 0.937 (0.908) loss_pose: 0.000155 loss_cons: 0.000296 -2023-07-29 20:16:17,078 Test: [0/199] Time 4.978 (4.978) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-29 20:16:37,801 Test: [100/199] Time 0.205 (0.258) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-29 20:16:56,467 Test: [198/199] Time 0.136 (0.225) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-29 20:16:58,378 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 20:17:07,482 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:17:07,520 The Predictions of Net 1 -2023-07-29 20:17:07,521 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:17:07,521 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:17:07,521 | 256x192_pose_dual_101_d256d256d256 | 0.7574 | 0.9358 | 0.8353 | 0.7338 | 0.7995 | 0.7897 | 0.9460 | 0.8555 | 0.7579 | 0.8382 | -2023-07-29 20:17:08,217 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 20:17:15,251 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:17:15,287 The Predictions of Net 2 -2023-07-29 20:17:15,288 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:17:15,288 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:17:15,288 | 256x192_pose_dual_101_d256d256d256 | 0.7618 | 0.9356 | 0.8362 | 0.7371 | 0.8039 | 0.7912 | 0.9443 | 0.8599 | 0.7595 | 0.8392 | -2023-07-29 20:17:15,978 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 20:17:20,737 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:17:20,774 Ensemble Predictions -2023-07-29 20:17:20,775 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:17:20,775 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:17:20,775 | 256x192_pose_dual_101_d256d256d256 | 0.7676 | 0.9359 | 0.8467 | 0.7426 | 0.8098 | 0.7964 | 0.9466 | 0.8640 | 0.7645 | 0.8451 | -2023-07-29 20:17:20,776 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 20:17:29,471 Epoch: [327][0/631] Time 5.675s (5.675s) Speed 5.6 samples/s Data 3.986s (3.986s) Loss 0.000449 (0.000449) Accuracy 0.921 (0.921) loss_pose: 0.000160 loss_cons: 0.000288 -2023-07-29 20:20:04,119 Epoch: [327][100/631] Time 1.516s (1.587s) Speed 21.1 samples/s Data 0.000s (0.040s) Loss 0.000555 (0.000519) Accuracy 0.893 (0.908) loss_pose: 0.000221 loss_cons: 0.000334 -2023-07-29 20:22:38,067 Epoch: [327][200/631] Time 1.524s (1.564s) Speed 21.0 samples/s Data 0.000s (0.020s) Loss 0.000563 (0.000523) Accuracy 0.892 (0.908) loss_pose: 0.000189 loss_cons: 0.000374 -2023-07-29 20:25:11,207 Epoch: [327][300/631] Time 1.529s (1.553s) Speed 20.9 samples/s Data 0.001s (0.014s) Loss 0.000597 (0.000522) Accuracy 0.891 (0.910) loss_pose: 0.000181 loss_cons: 0.000416 -2023-07-29 20:27:44,459 Epoch: [327][400/631] Time 1.519s (1.548s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000523 (0.000521) Accuracy 0.878 (0.910) loss_pose: 0.000192 loss_cons: 0.000331 -2023-07-29 20:30:18,749 Epoch: [327][500/631] Time 1.564s (1.547s) Speed 20.5 samples/s Data 0.000s (0.008s) Loss 0.000507 (0.000521) Accuracy 0.908 (0.909) loss_pose: 0.000176 loss_cons: 0.000331 -2023-07-29 20:32:53,122 Epoch: [327][600/631] Time 1.510s (1.546s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000499 (0.000523) Accuracy 0.880 (0.909) loss_pose: 0.000194 loss_cons: 0.000305 -2023-07-29 20:33:39,016 Epoch: [327][630/631] Time 1.516s (1.546s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000589 (0.000524) Accuracy 0.924 (0.909) loss_pose: 0.000168 loss_cons: 0.000421 -2023-07-29 20:33:45,905 Test: [0/199] Time 4.627 (4.627) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-29 20:34:06,536 Test: [100/199] Time 0.198 (0.252) Loss 0.0002 (0.0002) Accuracy 0.930 (0.886) -2023-07-29 20:34:25,036 Test: [198/199] Time 0.133 (0.221) Loss 0.0002 (0.0002) Accuracy 0.905 (0.883) -2023-07-29 20:34:26,954 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 20:34:36,527 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:34:36,575 The Predictions of Net 1 -2023-07-29 20:34:36,577 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:34:36,578 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:34:36,578 | 256x192_pose_dual_101_d256d256d256 | 0.7573 | 0.9356 | 0.8365 | 0.7358 | 0.7990 | 0.7887 | 0.9452 | 0.8591 | 0.7577 | 0.8360 | -2023-07-29 20:34:37,279 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 20:34:42,157 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:34:42,191 The Predictions of Net 2 -2023-07-29 20:34:42,192 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:34:42,193 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:34:42,193 | 256x192_pose_dual_101_d256d256d256 | 0.7619 | 0.9357 | 0.8361 | 0.7363 | 0.8020 | 0.7916 | 0.9443 | 0.8594 | 0.7605 | 0.8388 | -2023-07-29 20:34:42,886 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 20:34:49,749 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:34:49,784 Ensemble Predictions -2023-07-29 20:34:49,785 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:34:49,785 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:34:49,785 | 256x192_pose_dual_101_d256d256d256 | 0.7665 | 0.9359 | 0.8470 | 0.7430 | 0.8097 | 0.7960 | 0.9462 | 0.8640 | 0.7641 | 0.8446 | -2023-07-29 20:34:49,786 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 20:34:58,864 Epoch: [328][0/631] Time 5.896s (5.896s) Speed 5.4 samples/s Data 4.160s (4.160s) Loss 0.000415 (0.000415) Accuracy 0.907 (0.907) loss_pose: 0.000192 loss_cons: 0.000222 -2023-07-29 20:37:33,818 Epoch: [328][100/631] Time 1.518s (1.593s) Speed 21.1 samples/s Data 0.000s (0.042s) Loss 0.000524 (0.000525) Accuracy 0.894 (0.907) loss_pose: 0.000185 loss_cons: 0.000339 -2023-07-29 20:40:07,524 Epoch: [328][200/631] Time 1.669s (1.565s) Speed 19.2 samples/s Data 0.000s (0.021s) Loss 0.000615 (0.000527) Accuracy 0.895 (0.907) loss_pose: 0.000214 loss_cons: 0.000400 -2023-07-29 20:42:50,710 Epoch: [328][300/631] Time 1.597s (1.587s) Speed 20.0 samples/s Data 0.000s (0.014s) Loss 0.000525 (0.000524) Accuracy 0.921 (0.909) loss_pose: 0.000167 loss_cons: 0.000358 -2023-07-29 20:45:27,852 Epoch: [328][400/631] Time 1.525s (1.583s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000459 (0.000523) Accuracy 0.904 (0.909) loss_pose: 0.000202 loss_cons: 0.000256 -2023-07-29 20:48:09,362 Epoch: [328][500/631] Time 1.510s (1.590s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000439 (0.000521) Accuracy 0.915 (0.909) loss_pose: 0.000156 loss_cons: 0.000283 -2023-07-29 20:50:42,587 Epoch: [328][600/631] Time 1.507s (1.580s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000607 (0.000522) Accuracy 0.899 (0.909) loss_pose: 0.000188 loss_cons: 0.000418 -2023-07-29 20:51:28,011 Epoch: [328][630/631] Time 1.509s (1.577s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000606 (0.000522) Accuracy 0.898 (0.909) loss_pose: 0.000177 loss_cons: 0.000429 -2023-07-29 20:51:36,510 Test: [0/199] Time 6.408 (6.408) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-29 20:51:56,288 Test: [100/199] Time 0.204 (0.260) Loss 0.0002 (0.0002) Accuracy 0.937 (0.886) -2023-07-29 20:52:14,943 Test: [198/199] Time 0.141 (0.226) Loss 0.0002 (0.0002) Accuracy 0.912 (0.883) -2023-07-29 20:52:16,457 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 20:52:25,959 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:52:25,997 The Predictions of Net 1 -2023-07-29 20:52:25,998 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:52:25,999 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:52:25,999 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9357 | 0.8360 | 0.7347 | 0.7989 | 0.7888 | 0.9454 | 0.8567 | 0.7571 | 0.8367 | -2023-07-29 20:52:26,688 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 20:52:31,423 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:52:31,457 The Predictions of Net 2 -2023-07-29 20:52:31,458 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:52:31,458 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:52:31,458 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9354 | 0.8360 | 0.7360 | 0.8026 | 0.7908 | 0.9440 | 0.8599 | 0.7588 | 0.8394 | -2023-07-29 20:52:32,151 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 20:52:36,954 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 20:52:36,990 Ensemble Predictions -2023-07-29 20:52:36,990 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 20:52:36,991 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 20:52:36,991 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9359 | 0.8472 | 0.7411 | 0.8095 | 0.7967 | 0.9468 | 0.8645 | 0.7643 | 0.8460 | -2023-07-29 20:52:36,992 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 20:52:45,706 Epoch: [329][0/631] Time 5.616s (5.616s) Speed 5.7 samples/s Data 3.968s (3.968s) Loss 0.000443 (0.000443) Accuracy 0.921 (0.921) loss_pose: 0.000174 loss_cons: 0.000269 -2023-07-29 20:55:21,106 Epoch: [329][100/631] Time 1.631s (1.594s) Speed 19.6 samples/s Data 0.000s (0.040s) Loss 0.000549 (0.000512) Accuracy 0.861 (0.910) loss_pose: 0.000244 loss_cons: 0.000305 -2023-07-29 20:57:55,545 Epoch: [329][200/631] Time 1.524s (1.569s) Speed 21.0 samples/s Data 0.000s (0.020s) Loss 0.000567 (0.000514) Accuracy 0.951 (0.911) loss_pose: 0.000161 loss_cons: 0.000406 -2023-07-29 21:00:30,370 Epoch: [329][300/631] Time 1.546s (1.562s) Speed 20.7 samples/s Data 0.000s (0.014s) Loss 0.000621 (0.000519) Accuracy 0.906 (0.910) loss_pose: 0.000174 loss_cons: 0.000447 -2023-07-29 21:03:05,866 Epoch: [329][400/631] Time 1.603s (1.561s) Speed 20.0 samples/s Data 0.000s (0.010s) Loss 0.000634 (0.000521) Accuracy 0.866 (0.910) loss_pose: 0.000232 loss_cons: 0.000401 -2023-07-29 21:05:42,857 Epoch: [329][500/631] Time 1.524s (1.562s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000498 (0.000519) Accuracy 0.898 (0.911) loss_pose: 0.000181 loss_cons: 0.000317 -2023-07-29 21:08:17,176 Epoch: [329][600/631] Time 1.522s (1.559s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000515 (0.000520) Accuracy 0.932 (0.910) loss_pose: 0.000159 loss_cons: 0.000356 -2023-07-29 21:09:04,282 Epoch: [329][630/631] Time 1.593s (1.560s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000460 (0.000521) Accuracy 0.900 (0.910) loss_pose: 0.000173 loss_cons: 0.000287 -2023-07-29 21:09:11,414 Test: [0/199] Time 4.860 (4.860) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-29 21:09:32,113 Test: [100/199] Time 0.205 (0.255) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-29 21:09:50,834 Test: [198/199] Time 0.147 (0.223) Loss 0.0002 (0.0002) Accuracy 0.903 (0.883) -2023-07-29 21:09:52,438 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 21:10:02,291 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:10:02,327 The Predictions of Net 1 -2023-07-29 21:10:02,328 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:10:02,328 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:10:02,328 | 256x192_pose_dual_101_d256d256d256 | 0.7570 | 0.9356 | 0.8362 | 0.7355 | 0.7985 | 0.7887 | 0.9463 | 0.8566 | 0.7576 | 0.8362 | -2023-07-29 21:10:03,023 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 21:10:07,863 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:10:07,899 The Predictions of Net 2 -2023-07-29 21:10:07,900 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:10:07,901 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:10:07,901 | 256x192_pose_dual_101_d256d256d256 | 0.7628 | 0.9356 | 0.8452 | 0.7353 | 0.8037 | 0.7912 | 0.9436 | 0.8607 | 0.7587 | 0.8406 | -2023-07-29 21:10:08,592 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 21:10:13,350 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:10:13,385 Ensemble Predictions -2023-07-29 21:10:13,385 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:10:13,386 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:10:13,386 | 256x192_pose_dual_101_d256d256d256 | 0.7672 | 0.9359 | 0.8473 | 0.7433 | 0.8083 | 0.7964 | 0.9455 | 0.8649 | 0.7645 | 0.8449 | -2023-07-29 21:10:13,387 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 21:10:22,404 Epoch: [330][0/631] Time 5.976s (5.976s) Speed 5.4 samples/s Data 4.274s (4.274s) Loss 0.000463 (0.000463) Accuracy 0.893 (0.893) loss_pose: 0.000186 loss_cons: 0.000277 -2023-07-29 21:12:55,844 Epoch: [330][100/631] Time 1.579s (1.578s) Speed 20.3 samples/s Data 0.000s (0.043s) Loss 0.000449 (0.000523) Accuracy 0.947 (0.908) loss_pose: 0.000138 loss_cons: 0.000310 -2023-07-29 21:15:30,321 Epoch: [330][200/631] Time 1.511s (1.562s) Speed 21.2 samples/s Data 0.000s (0.022s) Loss 0.000483 (0.000520) Accuracy 0.928 (0.910) loss_pose: 0.000157 loss_cons: 0.000326 -2023-07-29 21:18:04,146 Epoch: [330][300/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000641 (0.000519) Accuracy 0.938 (0.911) loss_pose: 0.000166 loss_cons: 0.000475 -2023-07-29 21:20:37,746 Epoch: [330][400/631] Time 1.573s (1.549s) Speed 20.3 samples/s Data 0.000s (0.011s) Loss 0.000503 (0.000520) Accuracy 0.918 (0.910) loss_pose: 0.000168 loss_cons: 0.000335 -2023-07-29 21:23:11,568 Epoch: [330][500/631] Time 1.555s (1.547s) Speed 20.6 samples/s Data 0.000s (0.009s) Loss 0.000458 (0.000520) Accuracy 0.926 (0.911) loss_pose: 0.000160 loss_cons: 0.000298 -2023-07-29 21:25:47,038 Epoch: [330][600/631] Time 1.585s (1.548s) Speed 20.2 samples/s Data 0.001s (0.007s) Loss 0.000591 (0.000521) Accuracy 0.867 (0.911) loss_pose: 0.000172 loss_cons: 0.000419 -2023-07-29 21:26:34,694 Epoch: [330][630/631] Time 1.587s (1.550s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000505 (0.000521) Accuracy 0.913 (0.910) loss_pose: 0.000184 loss_cons: 0.000320 -2023-07-29 21:26:43,289 Test: [0/199] Time 6.270 (6.270) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-29 21:27:03,075 Test: [100/199] Time 0.197 (0.258) Loss 0.0002 (0.0002) Accuracy 0.927 (0.887) -2023-07-29 21:27:21,760 Test: [198/199] Time 0.152 (0.225) Loss 0.0002 (0.0002) Accuracy 0.925 (0.884) -2023-07-29 21:27:23,243 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 21:27:34,805 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:27:34,843 The Predictions of Net 1 -2023-07-29 21:27:34,844 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:27:34,844 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:27:34,844 | 256x192_pose_dual_101_d256d256d256 | 0.7573 | 0.9356 | 0.8364 | 0.7346 | 0.7986 | 0.7890 | 0.9440 | 0.8586 | 0.7578 | 0.8366 | -2023-07-29 21:27:35,531 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 21:27:40,283 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:27:40,315 The Predictions of Net 2 -2023-07-29 21:27:40,316 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:27:40,316 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:27:40,316 | 256x192_pose_dual_101_d256d256d256 | 0.7641 | 0.9355 | 0.8456 | 0.7373 | 0.8046 | 0.7922 | 0.9441 | 0.8611 | 0.7601 | 0.8411 | -2023-07-29 21:27:41,003 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 21:27:45,749 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:27:45,782 Ensemble Predictions -2023-07-29 21:27:45,783 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:27:45,783 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:27:45,783 | 256x192_pose_dual_101_d256d256d256 | 0.7686 | 0.9360 | 0.8472 | 0.7439 | 0.8112 | 0.7972 | 0.9463 | 0.8648 | 0.7650 | 0.8465 | -2023-07-29 21:27:45,784 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 21:27:55,375 Epoch: [331][0/631] Time 5.587s (5.587s) Speed 5.7 samples/s Data 3.862s (3.862s) Loss 0.000511 (0.000511) Accuracy 0.910 (0.910) loss_pose: 0.000153 loss_cons: 0.000358 -2023-07-29 21:30:30,306 Epoch: [331][100/631] Time 1.520s (1.589s) Speed 21.1 samples/s Data 0.000s (0.039s) Loss 0.000452 (0.000527) Accuracy 0.927 (0.905) loss_pose: 0.000176 loss_cons: 0.000276 -2023-07-29 21:33:06,896 Epoch: [331][200/631] Time 1.601s (1.578s) Speed 20.0 samples/s Data 0.000s (0.020s) Loss 0.000579 (0.000526) Accuracy 0.899 (0.906) loss_pose: 0.000182 loss_cons: 0.000397 -2023-07-29 21:35:42,507 Epoch: [331][300/631] Time 1.517s (1.570s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000484 (0.000523) Accuracy 0.941 (0.908) loss_pose: 0.000141 loss_cons: 0.000343 -2023-07-29 21:38:16,266 Epoch: [331][400/631] Time 1.604s (1.562s) Speed 20.0 samples/s Data 0.000s (0.010s) Loss 0.000474 (0.000524) Accuracy 0.907 (0.908) loss_pose: 0.000175 loss_cons: 0.000300 -2023-07-29 21:40:51,741 Epoch: [331][500/631] Time 1.525s (1.561s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000466 (0.000523) Accuracy 0.940 (0.909) loss_pose: 0.000176 loss_cons: 0.000290 -2023-07-29 21:43:26,514 Epoch: [331][600/631] Time 1.511s (1.559s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000502 (0.000523) Accuracy 0.904 (0.909) loss_pose: 0.000181 loss_cons: 0.000322 -2023-07-29 21:44:11,923 Epoch: [331][630/631] Time 1.511s (1.556s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000534 (0.000523) Accuracy 0.903 (0.909) loss_pose: 0.000169 loss_cons: 0.000364 -2023-07-29 21:44:19,842 Test: [0/199] Time 5.573 (5.573) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-29 21:44:39,624 Test: [100/199] Time 0.199 (0.252) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-29 21:44:58,152 Test: [198/199] Time 0.133 (0.221) Loss 0.0002 (0.0002) Accuracy 0.922 (0.884) -2023-07-29 21:44:59,836 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 21:45:09,210 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:45:09,254 The Predictions of Net 1 -2023-07-29 21:45:09,254 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:45:09,255 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:45:09,256 | 256x192_pose_dual_101_d256d256d256 | 0.7579 | 0.9355 | 0.8356 | 0.7346 | 0.7993 | 0.7895 | 0.9452 | 0.8566 | 0.7581 | 0.8374 | -2023-07-29 21:45:09,954 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 21:45:16,840 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:45:16,873 The Predictions of Net 2 -2023-07-29 21:45:16,873 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:45:16,874 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:45:16,874 | 256x192_pose_dual_101_d256d256d256 | 0.7626 | 0.9356 | 0.8452 | 0.7360 | 0.8036 | 0.7910 | 0.9441 | 0.8607 | 0.7589 | 0.8398 | -2023-07-29 21:45:17,561 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 21:45:22,281 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 21:45:22,315 Ensemble Predictions -2023-07-29 21:45:22,316 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 21:45:22,317 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 21:45:22,317 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9360 | 0.8467 | 0.7420 | 0.8098 | 0.7965 | 0.9469 | 0.8640 | 0.7642 | 0.8459 | -2023-07-29 21:45:22,318 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 21:45:30,573 Epoch: [332][0/631] Time 5.288s (5.288s) Speed 6.1 samples/s Data 3.517s (3.517s) Loss 0.000463 (0.000463) Accuracy 0.941 (0.941) loss_pose: 0.000156 loss_cons: 0.000308 -2023-07-29 21:48:07,718 Epoch: [332][100/631] Time 1.590s (1.608s) Speed 20.1 samples/s Data 0.000s (0.035s) Loss 0.000526 (0.000519) Accuracy 0.913 (0.908) loss_pose: 0.000194 loss_cons: 0.000332 -2023-07-29 21:50:42,846 Epoch: [332][200/631] Time 1.530s (1.580s) Speed 20.9 samples/s Data 0.000s (0.018s) Loss 0.000539 (0.000519) Accuracy 0.890 (0.910) loss_pose: 0.000202 loss_cons: 0.000336 -2023-07-29 21:53:17,403 Epoch: [332][300/631] Time 1.525s (1.568s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000616 (0.000517) Accuracy 0.902 (0.911) loss_pose: 0.000188 loss_cons: 0.000428 -2023-07-29 21:55:52,804 Epoch: [332][400/631] Time 1.608s (1.565s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000541 (0.000519) Accuracy 0.881 (0.911) loss_pose: 0.000215 loss_cons: 0.000326 -2023-07-29 21:58:27,955 Epoch: [332][500/631] Time 1.514s (1.562s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000486 (0.000519) Accuracy 0.890 (0.911) loss_pose: 0.000203 loss_cons: 0.000284 -2023-07-29 22:01:02,685 Epoch: [332][600/631] Time 1.506s (1.560s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000529 (0.000520) Accuracy 0.910 (0.911) loss_pose: 0.000194 loss_cons: 0.000334 -2023-07-29 22:01:49,094 Epoch: [332][630/631] Time 1.521s (1.559s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000566 (0.000520) Accuracy 0.883 (0.910) loss_pose: 0.000225 loss_cons: 0.000341 -2023-07-29 22:01:56,730 Test: [0/199] Time 4.938 (4.938) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-29 22:02:17,274 Test: [100/199] Time 0.197 (0.254) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-29 22:02:35,968 Test: [198/199] Time 0.151 (0.223) Loss 0.0002 (0.0002) Accuracy 0.903 (0.884) -2023-07-29 22:02:37,614 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 22:02:47,223 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:02:47,257 The Predictions of Net 1 -2023-07-29 22:02:47,259 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:02:47,259 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:02:47,259 | 256x192_pose_dual_101_d256d256d256 | 0.7593 | 0.9357 | 0.8365 | 0.7380 | 0.7990 | 0.7900 | 0.9454 | 0.8586 | 0.7596 | 0.8364 | -2023-07-29 22:02:47,955 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 22:02:52,682 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:02:52,714 The Predictions of Net 2 -2023-07-29 22:02:52,714 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:02:52,715 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:02:52,715 | 256x192_pose_dual_101_d256d256d256 | 0.7624 | 0.9356 | 0.8367 | 0.7373 | 0.8029 | 0.7915 | 0.9447 | 0.8599 | 0.7602 | 0.8392 | -2023-07-29 22:02:53,400 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 22:03:00,251 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:03:00,297 Ensemble Predictions -2023-07-29 22:03:00,298 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:03:00,298 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:03:00,298 | 256x192_pose_dual_101_d256d256d256 | 0.7692 | 0.9360 | 0.8471 | 0.7441 | 0.8089 | 0.7965 | 0.9465 | 0.8649 | 0.7648 | 0.8450 | -2023-07-29 22:03:00,299 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 22:03:10,605 Epoch: [333][0/631] Time 6.296s (6.296s) Speed 5.1 samples/s Data 4.651s (4.651s) Loss 0.000509 (0.000509) Accuracy 0.947 (0.947) loss_pose: 0.000172 loss_cons: 0.000338 -2023-07-29 22:05:46,981 Epoch: [333][100/631] Time 1.602s (1.611s) Speed 20.0 samples/s Data 0.000s (0.046s) Loss 0.000466 (0.000521) Accuracy 0.921 (0.914) loss_pose: 0.000168 loss_cons: 0.000298 -2023-07-29 22:08:22,632 Epoch: [333][200/631] Time 1.516s (1.584s) Speed 21.1 samples/s Data 0.000s (0.024s) Loss 0.000623 (0.000525) Accuracy 0.935 (0.913) loss_pose: 0.000148 loss_cons: 0.000474 -2023-07-29 22:10:59,873 Epoch: [333][300/631] Time 1.600s (1.580s) Speed 20.0 samples/s Data 0.000s (0.016s) Loss 0.000521 (0.000527) Accuracy 0.902 (0.911) loss_pose: 0.000189 loss_cons: 0.000332 -2023-07-29 22:13:35,119 Epoch: [333][400/631] Time 1.516s (1.573s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000488 (0.000529) Accuracy 0.919 (0.912) loss_pose: 0.000162 loss_cons: 0.000326 -2023-07-29 22:16:10,059 Epoch: [333][500/631] Time 1.520s (1.568s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000500 (0.000530) Accuracy 0.916 (0.911) loss_pose: 0.000179 loss_cons: 0.000322 -2023-07-29 22:18:44,396 Epoch: [333][600/631] Time 1.513s (1.564s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000575 (0.000529) Accuracy 0.875 (0.911) loss_pose: 0.000194 loss_cons: 0.000382 -2023-07-29 22:19:29,757 Epoch: [333][630/631] Time 1.511s (1.562s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000480 (0.000529) Accuracy 0.931 (0.911) loss_pose: 0.000169 loss_cons: 0.000311 -2023-07-29 22:19:37,495 Test: [0/199] Time 5.495 (5.495) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-29 22:19:57,662 Test: [100/199] Time 0.204 (0.255) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-29 22:20:16,718 Test: [198/199] Time 0.248 (0.225) Loss 0.0002 (0.0002) Accuracy 0.925 (0.883) -2023-07-29 22:20:18,089 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 22:20:27,904 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:20:27,940 The Predictions of Net 1 -2023-07-29 22:20:27,941 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:20:27,942 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:20:27,942 | 256x192_pose_dual_101_d256d256d256 | 0.7554 | 0.9350 | 0.8332 | 0.7357 | 0.7945 | 0.7890 | 0.9452 | 0.8560 | 0.7588 | 0.8356 | -2023-07-29 22:20:28,647 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 22:20:33,593 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:20:33,637 The Predictions of Net 2 -2023-07-29 22:20:33,638 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:20:33,639 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:20:33,639 | 256x192_pose_dual_101_d256d256d256 | 0.7597 | 0.9352 | 0.8351 | 0.7361 | 0.8007 | 0.7904 | 0.9438 | 0.8580 | 0.7587 | 0.8386 | -2023-07-29 22:20:34,342 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 22:20:39,117 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:20:39,154 Ensemble Predictions -2023-07-29 22:20:39,154 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:20:39,155 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:20:39,155 | 256x192_pose_dual_101_d256d256d256 | 0.7658 | 0.9352 | 0.8452 | 0.7433 | 0.8056 | 0.7961 | 0.9454 | 0.8638 | 0.7645 | 0.8446 | -2023-07-29 22:20:39,156 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 22:20:47,645 Epoch: [334][0/631] Time 5.288s (5.288s) Speed 6.1 samples/s Data 3.569s (3.569s) Loss 0.000432 (0.000432) Accuracy 0.927 (0.927) loss_pose: 0.000150 loss_cons: 0.000281 -2023-07-29 22:23:22,929 Epoch: [334][100/631] Time 1.518s (1.590s) Speed 21.1 samples/s Data 0.000s (0.036s) Loss 0.000427 (0.000528) Accuracy 0.923 (0.913) loss_pose: 0.000155 loss_cons: 0.000271 -2023-07-29 22:25:58,142 Epoch: [334][200/631] Time 1.600s (1.571s) Speed 20.0 samples/s Data 0.000s (0.018s) Loss 0.000573 (0.000527) Accuracy 0.943 (0.912) loss_pose: 0.000178 loss_cons: 0.000395 -2023-07-29 22:28:33,877 Epoch: [334][300/631] Time 1.614s (1.567s) Speed 19.8 samples/s Data 0.000s (0.012s) Loss 0.000586 (0.000527) Accuracy 0.913 (0.911) loss_pose: 0.000174 loss_cons: 0.000412 -2023-07-29 22:31:08,926 Epoch: [334][400/631] Time 1.529s (1.563s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000559 (0.000528) Accuracy 0.899 (0.910) loss_pose: 0.000211 loss_cons: 0.000349 -2023-07-29 22:33:44,286 Epoch: [334][500/631] Time 1.524s (1.561s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000465 (0.000528) Accuracy 0.944 (0.909) loss_pose: 0.000140 loss_cons: 0.000325 -2023-07-29 22:36:17,542 Epoch: [334][600/631] Time 1.514s (1.556s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000507 (0.000528) Accuracy 0.928 (0.909) loss_pose: 0.000169 loss_cons: 0.000338 -2023-07-29 22:37:05,044 Epoch: [334][630/631] Time 1.582s (1.557s) Speed 20.2 samples/s Data 0.000s (0.006s) Loss 0.000525 (0.000528) Accuracy 0.912 (0.909) loss_pose: 0.000204 loss_cons: 0.000322 -2023-07-29 22:37:13,705 Test: [0/199] Time 6.517 (6.517) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-29 22:37:33,348 Test: [100/199] Time 0.198 (0.259) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-29 22:37:52,103 Test: [198/199] Time 0.143 (0.226) Loss 0.0002 (0.0002) Accuracy 0.931 (0.883) -2023-07-29 22:37:53,637 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 22:38:05,107 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:38:05,147 The Predictions of Net 1 -2023-07-29 22:38:05,148 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:38:05,148 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:38:05,148 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9357 | 0.8353 | 0.7348 | 0.7954 | 0.7877 | 0.9446 | 0.8544 | 0.7573 | 0.8346 | -2023-07-29 22:38:05,840 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 22:38:10,562 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:38:10,604 The Predictions of Net 2 -2023-07-29 22:38:10,605 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:38:10,606 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:38:10,606 | 256x192_pose_dual_101_d256d256d256 | 0.7600 | 0.9349 | 0.8356 | 0.7333 | 0.8009 | 0.7900 | 0.9432 | 0.8569 | 0.7575 | 0.8391 | -2023-07-29 22:38:11,290 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 22:38:15,976 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:38:16,010 Ensemble Predictions -2023-07-29 22:38:16,011 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:38:16,011 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:38:16,011 | 256x192_pose_dual_101_d256d256d256 | 0.7681 | 0.9358 | 0.8466 | 0.7439 | 0.8075 | 0.7961 | 0.9451 | 0.8641 | 0.7649 | 0.8437 | -2023-07-29 22:38:16,013 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 22:38:24,642 Epoch: [335][0/631] Time 5.697s (5.697s) Speed 5.6 samples/s Data 3.999s (3.999s) Loss 0.000486 (0.000486) Accuracy 0.872 (0.872) loss_pose: 0.000195 loss_cons: 0.000291 -2023-07-29 22:41:00,331 Epoch: [335][100/631] Time 1.570s (1.598s) Speed 20.4 samples/s Data 0.000s (0.040s) Loss 0.000497 (0.000521) Accuracy 0.935 (0.908) loss_pose: 0.000161 loss_cons: 0.000337 -2023-07-29 22:43:36,353 Epoch: [335][200/631] Time 1.513s (1.579s) Speed 21.2 samples/s Data 0.000s (0.020s) Loss 0.000626 (0.000522) Accuracy 0.926 (0.911) loss_pose: 0.000166 loss_cons: 0.000460 -2023-07-29 22:46:09,841 Epoch: [335][300/631] Time 1.521s (1.564s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000530 (0.000526) Accuracy 0.962 (0.912) loss_pose: 0.000152 loss_cons: 0.000378 -2023-07-29 22:48:43,464 Epoch: [335][400/631] Time 1.528s (1.557s) Speed 20.9 samples/s Data 0.000s (0.010s) Loss 0.000545 (0.000526) Accuracy 0.929 (0.911) loss_pose: 0.000179 loss_cons: 0.000366 -2023-07-29 22:51:17,649 Epoch: [335][500/631] Time 1.523s (1.554s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000476 (0.000525) Accuracy 0.904 (0.911) loss_pose: 0.000175 loss_cons: 0.000302 -2023-07-29 22:53:50,917 Epoch: [335][600/631] Time 1.589s (1.551s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000508 (0.000525) Accuracy 0.942 (0.910) loss_pose: 0.000147 loss_cons: 0.000361 -2023-07-29 22:54:38,484 Epoch: [335][630/631] Time 1.589s (1.552s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000613 (0.000525) Accuracy 0.948 (0.910) loss_pose: 0.000145 loss_cons: 0.000468 -2023-07-29 22:54:45,177 Test: [0/199] Time 4.231 (4.231) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-29 22:55:06,511 Test: [100/199] Time 0.207 (0.256) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-29 22:55:25,874 Test: [198/199] Time 0.248 (0.227) Loss 0.0002 (0.0002) Accuracy 0.905 (0.884) -2023-07-29 22:55:27,000 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 22:55:35,998 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:55:36,040 The Predictions of Net 1 -2023-07-29 22:55:36,041 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:55:36,042 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:55:36,042 | 256x192_pose_dual_101_d256d256d256 | 0.7575 | 0.9355 | 0.8361 | 0.7371 | 0.7976 | 0.7894 | 0.9451 | 0.8578 | 0.7594 | 0.8353 | -2023-07-29 22:55:36,760 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 22:55:43,714 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:55:43,750 The Predictions of Net 2 -2023-07-29 22:55:43,751 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:55:43,752 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:55:43,752 | 256x192_pose_dual_101_d256d256d256 | 0.7618 | 0.9353 | 0.8359 | 0.7361 | 0.8029 | 0.7910 | 0.9432 | 0.8567 | 0.7588 | 0.8397 | -2023-07-29 22:55:44,447 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 22:55:49,287 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 22:55:49,321 Ensemble Predictions -2023-07-29 22:55:49,322 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 22:55:49,322 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 22:55:49,322 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9359 | 0.8469 | 0.7435 | 0.8082 | 0.7964 | 0.9458 | 0.8646 | 0.7648 | 0.8444 | -2023-07-29 22:55:49,324 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 22:55:58,521 Epoch: [336][0/631] Time 6.238s (6.238s) Speed 5.1 samples/s Data 4.562s (4.562s) Loss 0.000469 (0.000469) Accuracy 0.898 (0.898) loss_pose: 0.000158 loss_cons: 0.000311 -2023-07-29 22:58:34,186 Epoch: [336][100/631] Time 1.520s (1.603s) Speed 21.0 samples/s Data 0.000s (0.046s) Loss 0.000462 (0.000522) Accuracy 0.913 (0.913) loss_pose: 0.000203 loss_cons: 0.000259 -2023-07-29 23:01:09,841 Epoch: [336][200/631] Time 1.517s (1.580s) Speed 21.1 samples/s Data 0.000s (0.023s) Loss 0.000546 (0.000525) Accuracy 0.935 (0.913) loss_pose: 0.000175 loss_cons: 0.000372 -2023-07-29 23:03:45,171 Epoch: [336][300/631] Time 1.519s (1.571s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000670 (0.000525) Accuracy 0.948 (0.913) loss_pose: 0.000150 loss_cons: 0.000520 -2023-07-29 23:06:19,554 Epoch: [336][400/631] Time 1.572s (1.564s) Speed 20.4 samples/s Data 0.000s (0.012s) Loss 0.000482 (0.000527) Accuracy 0.955 (0.912) loss_pose: 0.000152 loss_cons: 0.000330 -2023-07-29 23:08:54,592 Epoch: [336][500/631] Time 1.516s (1.561s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000505 (0.000528) Accuracy 0.904 (0.913) loss_pose: 0.000154 loss_cons: 0.000351 -2023-07-29 23:11:28,381 Epoch: [336][600/631] Time 1.511s (1.558s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000614 (0.000530) Accuracy 0.839 (0.911) loss_pose: 0.000265 loss_cons: 0.000349 -2023-07-29 23:12:14,118 Epoch: [336][630/631] Time 1.607s (1.556s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000572 (0.000530) Accuracy 0.906 (0.912) loss_pose: 0.000172 loss_cons: 0.000400 -2023-07-29 23:12:21,989 Test: [0/199] Time 5.909 (5.909) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-29 23:12:41,890 Test: [100/199] Time 0.201 (0.256) Loss 0.0002 (0.0002) Accuracy 0.932 (0.886) -2023-07-29 23:13:00,583 Test: [198/199] Time 0.136 (0.224) Loss 0.0002 (0.0002) Accuracy 0.898 (0.883) -2023-07-29 23:13:02,668 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 23:13:12,018 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:13:12,057 The Predictions of Net 1 -2023-07-29 23:13:12,057 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:13:12,058 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:13:12,058 | 256x192_pose_dual_101_d256d256d256 | 0.7576 | 0.9354 | 0.8363 | 0.7341 | 0.7991 | 0.7882 | 0.9430 | 0.8563 | 0.7573 | 0.8357 | -2023-07-29 23:13:12,752 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 23:13:17,639 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:13:17,674 The Predictions of Net 2 -2023-07-29 23:13:17,675 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:13:17,676 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:13:17,676 | 256x192_pose_dual_101_d256d256d256 | 0.7615 | 0.9356 | 0.8361 | 0.7345 | 0.8028 | 0.7902 | 0.9436 | 0.8574 | 0.7579 | 0.8391 | -2023-07-29 23:13:18,370 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 23:13:25,328 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:13:25,366 Ensemble Predictions -2023-07-29 23:13:25,367 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:13:25,367 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:13:25,367 | 256x192_pose_dual_101_d256d256d256 | 0.7672 | 0.9358 | 0.8463 | 0.7433 | 0.8063 | 0.7953 | 0.9454 | 0.8611 | 0.7638 | 0.8436 | -2023-07-29 23:13:25,369 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 23:13:34,668 Epoch: [337][0/631] Time 6.255s (6.255s) Speed 5.1 samples/s Data 4.566s (4.566s) Loss 0.000420 (0.000420) Accuracy 0.933 (0.933) loss_pose: 0.000157 loss_cons: 0.000262 -2023-07-29 23:16:09,069 Epoch: [337][100/631] Time 1.542s (1.591s) Speed 20.7 samples/s Data 0.000s (0.046s) Loss 0.000508 (0.000518) Accuracy 0.882 (0.914) loss_pose: 0.000197 loss_cons: 0.000311 -2023-07-29 23:18:46,156 Epoch: [337][200/631] Time 1.514s (1.581s) Speed 21.1 samples/s Data 0.000s (0.023s) Loss 0.000605 (0.000520) Accuracy 0.925 (0.913) loss_pose: 0.000187 loss_cons: 0.000418 -2023-07-29 23:21:25,562 Epoch: [337][300/631] Time 1.514s (1.585s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000625 (0.000522) Accuracy 0.903 (0.912) loss_pose: 0.000195 loss_cons: 0.000430 -2023-07-29 23:24:05,223 Epoch: [337][400/631] Time 1.517s (1.588s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000516 (0.000524) Accuracy 0.911 (0.911) loss_pose: 0.000164 loss_cons: 0.000352 -2023-07-29 23:26:41,754 Epoch: [337][500/631] Time 1.519s (1.584s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000524 (0.000525) Accuracy 0.856 (0.911) loss_pose: 0.000173 loss_cons: 0.000351 -2023-07-29 23:29:19,291 Epoch: [337][600/631] Time 1.511s (1.582s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000565 (0.000526) Accuracy 0.927 (0.911) loss_pose: 0.000188 loss_cons: 0.000377 -2023-07-29 23:30:04,710 Epoch: [337][630/631] Time 1.516s (1.579s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000660 (0.000527) Accuracy 0.907 (0.911) loss_pose: 0.000193 loss_cons: 0.000466 -2023-07-29 23:30:13,276 Test: [0/199] Time 6.392 (6.392) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-29 23:30:33,118 Test: [100/199] Time 0.208 (0.260) Loss 0.0002 (0.0002) Accuracy 0.932 (0.886) -2023-07-29 23:30:51,879 Test: [198/199] Time 0.160 (0.226) Loss 0.0002 (0.0002) Accuracy 0.908 (0.883) -2023-07-29 23:30:53,624 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 23:31:03,180 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:31:03,218 The Predictions of Net 1 -2023-07-29 23:31:03,219 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:31:03,220 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:31:03,220 | 256x192_pose_dual_101_d256d256d256 | 0.7574 | 0.9354 | 0.8358 | 0.7343 | 0.7988 | 0.7883 | 0.9438 | 0.8560 | 0.7573 | 0.8359 | -2023-07-29 23:31:03,918 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 23:31:08,698 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:31:08,735 The Predictions of Net 2 -2023-07-29 23:31:08,736 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:31:08,736 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:31:08,736 | 256x192_pose_dual_101_d256d256d256 | 0.7609 | 0.9354 | 0.8357 | 0.7350 | 0.8030 | 0.7905 | 0.9432 | 0.8574 | 0.7582 | 0.8393 | -2023-07-29 23:31:09,425 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 23:31:14,203 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:31:14,237 Ensemble Predictions -2023-07-29 23:31:14,238 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:31:14,238 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:31:14,238 | 256x192_pose_dual_101_d256d256d256 | 0.7671 | 0.9359 | 0.8465 | 0.7423 | 0.8073 | 0.7959 | 0.9447 | 0.8622 | 0.7643 | 0.8442 | -2023-07-29 23:31:14,239 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 23:31:23,262 Epoch: [338][0/631] Time 6.068s (6.068s) Speed 5.3 samples/s Data 4.381s (4.381s) Loss 0.000576 (0.000576) Accuracy 0.922 (0.922) loss_pose: 0.000171 loss_cons: 0.000406 -2023-07-29 23:33:57,510 Epoch: [338][100/631] Time 1.600s (1.587s) Speed 20.0 samples/s Data 0.000s (0.044s) Loss 0.000549 (0.000518) Accuracy 0.914 (0.914) loss_pose: 0.000153 loss_cons: 0.000396 -2023-07-29 23:36:32,020 Epoch: [338][200/631] Time 1.513s (1.566s) Speed 21.2 samples/s Data 0.000s (0.022s) Loss 0.000727 (0.000522) Accuracy 0.905 (0.914) loss_pose: 0.000203 loss_cons: 0.000523 -2023-07-29 23:39:06,910 Epoch: [338][300/631] Time 1.525s (1.561s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000532 (0.000523) Accuracy 0.952 (0.913) loss_pose: 0.000172 loss_cons: 0.000360 -2023-07-29 23:41:41,661 Epoch: [338][400/631] Time 1.517s (1.557s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000601 (0.000523) Accuracy 0.878 (0.913) loss_pose: 0.000206 loss_cons: 0.000395 -2023-07-29 23:44:16,164 Epoch: [338][500/631] Time 1.516s (1.555s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000514 (0.000524) Accuracy 0.918 (0.913) loss_pose: 0.000207 loss_cons: 0.000307 -2023-07-29 23:46:50,357 Epoch: [338][600/631] Time 1.509s (1.553s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000620 (0.000525) Accuracy 0.924 (0.913) loss_pose: 0.000174 loss_cons: 0.000447 -2023-07-29 23:47:35,825 Epoch: [338][630/631] Time 1.506s (1.551s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000562 (0.000525) Accuracy 0.859 (0.913) loss_pose: 0.000215 loss_cons: 0.000347 -2023-07-29 23:47:42,521 Test: [0/199] Time 4.422 (4.422) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-29 23:48:02,876 Test: [100/199] Time 0.198 (0.247) Loss 0.0002 (0.0002) Accuracy 0.936 (0.887) -2023-07-29 23:48:21,521 Test: [198/199] Time 0.134 (0.219) Loss 0.0002 (0.0002) Accuracy 0.910 (0.884) -2023-07-29 23:48:24,874 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-29 23:48:34,180 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:48:34,216 The Predictions of Net 1 -2023-07-29 23:48:34,217 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:48:34,217 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:48:34,217 | 256x192_pose_dual_101_d256d256d256 | 0.7571 | 0.9353 | 0.8351 | 0.7370 | 0.7983 | 0.7892 | 0.9446 | 0.8566 | 0.7589 | 0.8360 | -2023-07-29 23:48:34,903 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-29 23:48:39,635 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:48:39,673 The Predictions of Net 2 -2023-07-29 23:48:39,674 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:48:39,674 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:48:39,674 | 256x192_pose_dual_101_d256d256d256 | 0.7602 | 0.9352 | 0.8356 | 0.7364 | 0.7997 | 0.7902 | 0.9443 | 0.8578 | 0.7584 | 0.8386 | -2023-07-29 23:48:40,364 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-29 23:48:45,071 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-29 23:48:45,104 Ensemble Predictions -2023-07-29 23:48:45,105 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-29 23:48:45,106 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-29 23:48:45,106 | 256x192_pose_dual_101_d256d256d256 | 0.7675 | 0.9355 | 0.8453 | 0.7449 | 0.8076 | 0.7969 | 0.9471 | 0.8622 | 0.7654 | 0.8449 | -2023-07-29 23:48:45,107 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-29 23:48:53,247 Epoch: [339][0/631] Time 5.257s (5.257s) Speed 6.1 samples/s Data 3.473s (3.473s) Loss 0.000551 (0.000551) Accuracy 0.928 (0.928) loss_pose: 0.000160 loss_cons: 0.000390 -2023-07-29 23:51:28,350 Epoch: [339][100/631] Time 1.620s (1.588s) Speed 19.8 samples/s Data 0.000s (0.035s) Loss 0.000428 (0.000536) Accuracy 0.904 (0.912) loss_pose: 0.000170 loss_cons: 0.000259 -2023-07-29 23:54:03,923 Epoch: [339][200/631] Time 1.517s (1.572s) Speed 21.1 samples/s Data 0.000s (0.018s) Loss 0.000621 (0.000532) Accuracy 0.862 (0.909) loss_pose: 0.000209 loss_cons: 0.000412 -2023-07-29 23:56:37,679 Epoch: [339][300/631] Time 1.521s (1.560s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000604 (0.000531) Accuracy 0.937 (0.909) loss_pose: 0.000158 loss_cons: 0.000446 -2023-07-29 23:59:10,625 Epoch: [339][400/631] Time 1.518s (1.553s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000552 (0.000530) Accuracy 0.902 (0.910) loss_pose: 0.000199 loss_cons: 0.000352 -2023-07-30 00:01:44,040 Epoch: [339][500/631] Time 1.633s (1.549s) Speed 19.6 samples/s Data 0.000s (0.007s) Loss 0.000463 (0.000529) Accuracy 0.895 (0.911) loss_pose: 0.000197 loss_cons: 0.000266 -2023-07-30 00:04:17,544 Epoch: [339][600/631] Time 1.516s (1.547s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000553 (0.000530) Accuracy 0.915 (0.911) loss_pose: 0.000190 loss_cons: 0.000364 -2023-07-30 00:05:02,972 Epoch: [339][630/631] Time 1.515s (1.545s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000542 (0.000529) Accuracy 0.943 (0.911) loss_pose: 0.000148 loss_cons: 0.000394 -2023-07-30 00:05:10,872 Test: [0/199] Time 5.756 (5.756) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-30 00:05:31,092 Test: [100/199] Time 0.201 (0.258) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-30 00:05:49,849 Test: [198/199] Time 0.152 (0.225) Loss 0.0002 (0.0002) Accuracy 0.910 (0.883) -2023-07-30 00:05:51,782 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 00:06:00,959 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:06:01,001 The Predictions of Net 1 -2023-07-30 00:06:01,002 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:06:01,003 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:06:01,003 | 256x192_pose_dual_101_d256d256d256 | 0.7577 | 0.9349 | 0.8348 | 0.7362 | 0.7959 | 0.7897 | 0.9424 | 0.8580 | 0.7594 | 0.8360 | -2023-07-30 00:06:03,808 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 00:06:08,576 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:06:08,612 The Predictions of Net 2 -2023-07-30 00:06:08,613 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:06:08,613 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:06:08,614 | 256x192_pose_dual_101_d256d256d256 | 0.7621 | 0.9353 | 0.8447 | 0.7361 | 0.8018 | 0.7911 | 0.9429 | 0.8604 | 0.7593 | 0.8393 | -2023-07-30 00:06:09,309 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 00:06:14,127 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:06:14,161 Ensemble Predictions -2023-07-30 00:06:14,162 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:06:14,162 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:06:14,162 | 256x192_pose_dual_101_d256d256d256 | 0.7666 | 0.9356 | 0.8464 | 0.7432 | 0.8064 | 0.7960 | 0.9458 | 0.8641 | 0.7649 | 0.8434 | -2023-07-30 00:06:14,164 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 00:06:22,293 Epoch: [340][0/631] Time 5.166s (5.166s) Speed 6.2 samples/s Data 3.469s (3.469s) Loss 0.000547 (0.000547) Accuracy 0.871 (0.871) loss_pose: 0.000211 loss_cons: 0.000336 -2023-07-30 00:08:56,789 Epoch: [340][100/631] Time 1.526s (1.581s) Speed 21.0 samples/s Data 0.000s (0.035s) Loss 0.000515 (0.000528) Accuracy 0.909 (0.910) loss_pose: 0.000171 loss_cons: 0.000343 -2023-07-30 00:11:32,847 Epoch: [340][200/631] Time 1.602s (1.571s) Speed 20.0 samples/s Data 0.000s (0.018s) Loss 0.000568 (0.000531) Accuracy 0.928 (0.908) loss_pose: 0.000170 loss_cons: 0.000398 -2023-07-30 00:14:09,546 Epoch: [340][300/631] Time 1.516s (1.569s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000608 (0.000529) Accuracy 0.907 (0.908) loss_pose: 0.000185 loss_cons: 0.000423 -2023-07-30 00:16:44,807 Epoch: [340][400/631] Time 1.643s (1.565s) Speed 19.5 samples/s Data 0.003s (0.009s) Loss 0.000563 (0.000530) Accuracy 0.890 (0.909) loss_pose: 0.000209 loss_cons: 0.000355 -2023-07-30 00:19:19,465 Epoch: [340][500/631] Time 1.541s (1.562s) Speed 20.8 samples/s Data 0.000s (0.007s) Loss 0.000464 (0.000528) Accuracy 0.941 (0.909) loss_pose: 0.000150 loss_cons: 0.000313 -2023-07-30 00:21:52,520 Epoch: [340][600/631] Time 1.506s (1.556s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000647 (0.000530) Accuracy 0.862 (0.909) loss_pose: 0.000206 loss_cons: 0.000442 -2023-07-30 00:22:37,844 Epoch: [340][630/631] Time 1.507s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000505 (0.000529) Accuracy 0.898 (0.910) loss_pose: 0.000177 loss_cons: 0.000328 -2023-07-30 00:22:45,907 Test: [0/199] Time 6.074 (6.074) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-30 00:23:05,920 Test: [100/199] Time 0.223 (0.259) Loss 0.0002 (0.0002) Accuracy 0.929 (0.887) -2023-07-30 00:23:24,686 Test: [198/199] Time 0.139 (0.226) Loss 0.0002 (0.0002) Accuracy 0.917 (0.884) -2023-07-30 00:23:26,190 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 00:23:35,801 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:23:35,844 The Predictions of Net 1 -2023-07-30 00:23:35,845 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:23:35,845 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:23:35,846 | 256x192_pose_dual_101_d256d256d256 | 0.7585 | 0.9356 | 0.8346 | 0.7367 | 0.7968 | 0.7893 | 0.9446 | 0.8552 | 0.7590 | 0.8362 | -2023-07-30 00:23:36,546 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 00:23:41,424 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:23:41,462 The Predictions of Net 2 -2023-07-30 00:23:41,462 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:23:41,463 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:23:41,464 | 256x192_pose_dual_101_d256d256d256 | 0.7608 | 0.9350 | 0.8351 | 0.7363 | 0.8016 | 0.7911 | 0.9438 | 0.8578 | 0.7590 | 0.8399 | -2023-07-30 00:23:44,310 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 00:23:49,088 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:23:49,125 Ensemble Predictions -2023-07-30 00:23:49,125 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:23:49,126 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:23:49,126 | 256x192_pose_dual_101_d256d256d256 | 0.7656 | 0.9352 | 0.8460 | 0.7431 | 0.8066 | 0.7964 | 0.9452 | 0.8635 | 0.7651 | 0.8444 | -2023-07-30 00:23:49,127 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 00:23:58,078 Epoch: [341][0/631] Time 6.030s (6.030s) Speed 5.3 samples/s Data 4.346s (4.346s) Loss 0.000492 (0.000492) Accuracy 0.911 (0.911) loss_pose: 0.000205 loss_cons: 0.000287 -2023-07-30 00:26:33,581 Epoch: [341][100/631] Time 1.520s (1.599s) Speed 21.1 samples/s Data 0.000s (0.043s) Loss 0.000437 (0.000526) Accuracy 0.923 (0.911) loss_pose: 0.000160 loss_cons: 0.000277 -2023-07-30 00:29:08,250 Epoch: [341][200/631] Time 1.521s (1.573s) Speed 21.0 samples/s Data 0.000s (0.022s) Loss 0.000822 (0.000531) Accuracy 0.902 (0.910) loss_pose: 0.000198 loss_cons: 0.000624 -2023-07-30 00:31:43,976 Epoch: [341][300/631] Time 1.520s (1.568s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000631 (0.000529) Accuracy 0.859 (0.910) loss_pose: 0.000222 loss_cons: 0.000409 -2023-07-30 00:34:18,932 Epoch: [341][400/631] Time 1.513s (1.563s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000518 (0.000531) Accuracy 0.885 (0.909) loss_pose: 0.000183 loss_cons: 0.000334 -2023-07-30 00:36:52,703 Epoch: [341][500/631] Time 1.519s (1.558s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000445 (0.000532) Accuracy 0.927 (0.909) loss_pose: 0.000158 loss_cons: 0.000287 -2023-07-30 00:39:27,418 Epoch: [341][600/631] Time 1.516s (1.556s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000521 (0.000535) Accuracy 0.897 (0.909) loss_pose: 0.000190 loss_cons: 0.000331 -2023-07-30 00:40:12,802 Epoch: [341][630/631] Time 1.505s (1.554s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000580 (0.000536) Accuracy 0.905 (0.909) loss_pose: 0.000159 loss_cons: 0.000421 -2023-07-30 00:40:21,138 Test: [0/199] Time 6.154 (6.154) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-30 00:40:41,035 Test: [100/199] Time 0.198 (0.258) Loss 0.0002 (0.0002) Accuracy 0.925 (0.887) -2023-07-30 00:40:59,584 Test: [198/199] Time 0.152 (0.224) Loss 0.0002 (0.0002) Accuracy 0.910 (0.884) -2023-07-30 00:41:01,410 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 00:41:11,270 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:41:11,307 The Predictions of Net 1 -2023-07-30 00:41:11,308 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:41:11,308 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:41:11,308 | 256x192_pose_dual_101_d256d256d256 | 0.7579 | 0.9356 | 0.8353 | 0.7372 | 0.7961 | 0.7892 | 0.9454 | 0.8563 | 0.7593 | 0.8352 | -2023-07-30 00:41:12,010 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 00:41:16,710 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:41:16,744 The Predictions of Net 2 -2023-07-30 00:41:16,745 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:41:16,746 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:41:16,746 | 256x192_pose_dual_101_d256d256d256 | 0.7593 | 0.9351 | 0.8361 | 0.7362 | 0.8017 | 0.7906 | 0.9436 | 0.8594 | 0.7586 | 0.8392 | -2023-07-30 00:41:17,436 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 00:41:22,259 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:41:22,294 Ensemble Predictions -2023-07-30 00:41:22,295 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:41:22,295 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:41:22,296 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9360 | 0.8469 | 0.7458 | 0.8076 | 0.7972 | 0.9466 | 0.8668 | 0.7659 | 0.8452 | -2023-07-30 00:41:22,296 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 00:41:31,191 Epoch: [342][0/631] Time 6.009s (6.009s) Speed 5.3 samples/s Data 4.314s (4.314s) Loss 0.000570 (0.000570) Accuracy 0.885 (0.885) loss_pose: 0.000194 loss_cons: 0.000376 -2023-07-30 00:44:08,798 Epoch: [342][100/631] Time 1.525s (1.620s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000532 (0.000549) Accuracy 0.878 (0.912) loss_pose: 0.000199 loss_cons: 0.000332 -2023-07-30 00:46:43,124 Epoch: [342][200/631] Time 1.513s (1.582s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000533 (0.000541) Accuracy 0.900 (0.912) loss_pose: 0.000173 loss_cons: 0.000360 -2023-07-30 00:49:18,037 Epoch: [342][300/631] Time 1.620s (1.571s) Speed 19.7 samples/s Data 0.000s (0.015s) Loss 0.000645 (0.000541) Accuracy 0.913 (0.911) loss_pose: 0.000191 loss_cons: 0.000455 -2023-07-30 00:51:53,069 Epoch: [342][400/631] Time 1.607s (1.566s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000517 (0.000549) Accuracy 0.928 (0.912) loss_pose: 0.000175 loss_cons: 0.000342 -2023-07-30 00:54:27,190 Epoch: [342][500/631] Time 1.513s (1.561s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000588 (0.000560) Accuracy 0.895 (0.911) loss_pose: 0.000202 loss_cons: 0.000386 -2023-07-30 00:57:01,750 Epoch: [342][600/631] Time 1.531s (1.558s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000617 (0.000558) Accuracy 0.911 (0.911) loss_pose: 0.000197 loss_cons: 0.000419 -2023-07-30 00:57:47,673 Epoch: [342][630/631] Time 1.509s (1.557s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000585 (0.000557) Accuracy 0.928 (0.911) loss_pose: 0.000154 loss_cons: 0.000431 -2023-07-30 00:57:55,419 Test: [0/199] Time 5.460 (5.460) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 00:58:15,616 Test: [100/199] Time 0.199 (0.255) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-30 00:58:34,316 Test: [198/199] Time 0.146 (0.223) Loss 0.0002 (0.0002) Accuracy 0.943 (0.883) -2023-07-30 00:58:35,970 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 00:58:45,418 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:58:45,456 The Predictions of Net 1 -2023-07-30 00:58:45,456 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:58:45,457 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:58:45,457 | 256x192_pose_dual_101_d256d256d256 | 0.7570 | 0.9353 | 0.8351 | 0.7334 | 0.7971 | 0.7882 | 0.9429 | 0.8556 | 0.7571 | 0.8359 | -2023-07-30 00:58:46,156 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 00:58:51,155 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:58:51,192 The Predictions of Net 2 -2023-07-30 00:58:51,196 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:58:51,196 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:58:51,196 | 256x192_pose_dual_101_d256d256d256 | 0.7608 | 0.9354 | 0.8361 | 0.7361 | 0.8012 | 0.7906 | 0.9429 | 0.8574 | 0.7597 | 0.8380 | -2023-07-30 00:58:51,911 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 00:58:56,831 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 00:58:56,867 Ensemble Predictions -2023-07-30 00:58:56,868 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 00:58:56,868 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 00:58:56,868 | 256x192_pose_dual_101_d256d256d256 | 0.7663 | 0.9357 | 0.8462 | 0.7401 | 0.8080 | 0.7952 | 0.9441 | 0.8622 | 0.7634 | 0.8439 | -2023-07-30 00:58:56,869 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 00:59:05,729 Epoch: [343][0/631] Time 5.913s (5.913s) Speed 5.4 samples/s Data 4.259s (4.259s) Loss 0.000448 (0.000448) Accuracy 0.949 (0.949) loss_pose: 0.000152 loss_cons: 0.000296 -2023-07-30 01:01:41,046 Epoch: [343][100/631] Time 1.519s (1.596s) Speed 21.1 samples/s Data 0.000s (0.043s) Loss 0.000543 (0.000533) Accuracy 0.886 (0.910) loss_pose: 0.000202 loss_cons: 0.000341 -2023-07-30 01:04:15,273 Epoch: [343][200/631] Time 1.519s (1.569s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000700 (0.000530) Accuracy 0.916 (0.912) loss_pose: 0.000187 loss_cons: 0.000513 -2023-07-30 01:06:48,959 Epoch: [343][300/631] Time 1.519s (1.559s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000652 (0.000528) Accuracy 0.922 (0.911) loss_pose: 0.000169 loss_cons: 0.000483 -2023-07-30 01:09:24,783 Epoch: [343][400/631] Time 1.527s (1.559s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000555 (0.000528) Accuracy 0.835 (0.911) loss_pose: 0.000209 loss_cons: 0.000346 -2023-07-30 01:11:59,340 Epoch: [343][500/631] Time 1.522s (1.556s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000575 (0.000529) Accuracy 0.903 (0.911) loss_pose: 0.000198 loss_cons: 0.000377 -2023-07-30 01:14:32,547 Epoch: [343][600/631] Time 1.516s (1.552s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000498 (0.000530) Accuracy 0.906 (0.911) loss_pose: 0.000195 loss_cons: 0.000303 -2023-07-30 01:15:17,910 Epoch: [343][630/631] Time 1.505s (1.550s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.001067 (0.000533) Accuracy 0.921 (0.911) loss_pose: 0.000168 loss_cons: 0.000899 -2023-07-30 01:15:26,092 Test: [0/199] Time 6.191 (6.191) Loss 0.0002 (0.0002) Accuracy 0.920 (0.920) -2023-07-30 01:15:45,903 Test: [100/199] Time 0.198 (0.258) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-30 01:16:04,511 Test: [198/199] Time 0.211 (0.224) Loss 0.0002 (0.0002) Accuracy 0.914 (0.883) -2023-07-30 01:16:06,287 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 01:16:17,973 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:16:18,010 The Predictions of Net 1 -2023-07-30 01:16:18,011 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:16:18,012 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:16:18,012 | 256x192_pose_dual_101_d256d256d256 | 0.7557 | 0.9347 | 0.8342 | 0.7322 | 0.7959 | 0.7881 | 0.9438 | 0.8563 | 0.7570 | 0.8356 | -2023-07-30 01:16:18,702 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 01:16:23,435 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:16:23,470 The Predictions of Net 2 -2023-07-30 01:16:23,471 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:16:23,471 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:16:23,471 | 256x192_pose_dual_101_d256d256d256 | 0.7564 | 0.9345 | 0.8352 | 0.7329 | 0.7973 | 0.7884 | 0.9419 | 0.8558 | 0.7571 | 0.8362 | -2023-07-30 01:16:24,160 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 01:16:28,868 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:16:28,902 Ensemble Predictions -2023-07-30 01:16:28,903 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:16:28,903 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:16:28,903 | 256x192_pose_dual_101_d256d256d256 | 0.7647 | 0.9350 | 0.8454 | 0.7438 | 0.8047 | 0.7960 | 0.9463 | 0.8626 | 0.7651 | 0.8433 | -2023-07-30 01:16:28,904 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 01:16:37,784 Epoch: [344][0/631] Time 5.870s (5.870s) Speed 5.5 samples/s Data 4.216s (4.216s) Loss 0.000422 (0.000422) Accuracy 0.899 (0.899) loss_pose: 0.000156 loss_cons: 0.000266 -2023-07-30 01:19:13,042 Epoch: [344][100/631] Time 1.521s (1.595s) Speed 21.0 samples/s Data 0.000s (0.042s) Loss 0.000583 (0.000556) Accuracy 0.928 (0.912) loss_pose: 0.000185 loss_cons: 0.000398 -2023-07-30 01:21:46,678 Epoch: [344][200/631] Time 1.523s (1.566s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000504 (0.000551) Accuracy 0.927 (0.911) loss_pose: 0.000168 loss_cons: 0.000336 -2023-07-30 01:24:20,859 Epoch: [344][300/631] Time 1.557s (1.558s) Speed 20.6 samples/s Data 0.000s (0.014s) Loss 0.000635 (0.000548) Accuracy 0.919 (0.910) loss_pose: 0.000172 loss_cons: 0.000463 -2023-07-30 01:26:56,246 Epoch: [344][400/631] Time 1.618s (1.557s) Speed 19.8 samples/s Data 0.000s (0.011s) Loss 0.000502 (0.000547) Accuracy 0.897 (0.910) loss_pose: 0.000187 loss_cons: 0.000316 -2023-07-30 01:29:30,969 Epoch: [344][500/631] Time 1.518s (1.555s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000468 (0.000568) Accuracy 0.902 (0.910) loss_pose: 0.000167 loss_cons: 0.000300 -2023-07-30 01:32:07,650 Epoch: [344][600/631] Time 1.582s (1.557s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000596 (0.000568) Accuracy 0.893 (0.910) loss_pose: 0.000216 loss_cons: 0.000380 -2023-07-30 01:32:55,320 Epoch: [344][630/631] Time 1.590s (1.558s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000544 (0.000567) Accuracy 0.935 (0.910) loss_pose: 0.000178 loss_cons: 0.000365 -2023-07-30 01:33:03,531 Test: [0/199] Time 6.082 (6.082) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 01:33:23,512 Test: [100/199] Time 0.202 (0.258) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 01:33:42,258 Test: [198/199] Time 0.223 (0.225) Loss 0.0002 (0.0002) Accuracy 0.934 (0.883) -2023-07-30 01:33:43,498 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 01:33:53,134 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:33:53,172 The Predictions of Net 1 -2023-07-30 01:33:53,173 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:33:53,173 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:33:53,173 | 256x192_pose_dual_101_d256d256d256 | 0.7569 | 0.9351 | 0.8354 | 0.7346 | 0.7990 | 0.7885 | 0.9435 | 0.8580 | 0.7573 | 0.8362 | -2023-07-30 01:33:53,864 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 01:34:00,679 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:34:00,712 The Predictions of Net 2 -2023-07-30 01:34:00,713 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:34:00,713 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:34:00,713 | 256x192_pose_dual_101_d256d256d256 | 0.7611 | 0.9353 | 0.8450 | 0.7353 | 0.8032 | 0.7906 | 0.9440 | 0.8600 | 0.7587 | 0.8390 | -2023-07-30 01:34:01,399 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 01:34:06,183 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:34:06,216 Ensemble Predictions -2023-07-30 01:34:06,216 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:34:06,216 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:34:06,217 | 256x192_pose_dual_101_d256d256d256 | 0.7656 | 0.9355 | 0.8467 | 0.7428 | 0.8071 | 0.7963 | 0.9460 | 0.8656 | 0.7648 | 0.8443 | -2023-07-30 01:34:06,218 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 01:34:15,322 Epoch: [345][0/631] Time 6.174s (6.174s) Speed 5.2 samples/s Data 4.506s (4.506s) Loss 0.000616 (0.000616) Accuracy 0.930 (0.930) loss_pose: 0.000157 loss_cons: 0.000459 -2023-07-30 01:36:51,133 Epoch: [345][100/631] Time 1.517s (1.604s) Speed 21.1 samples/s Data 0.000s (0.045s) Loss 0.000505 (0.000542) Accuracy 0.887 (0.910) loss_pose: 0.000205 loss_cons: 0.000299 -2023-07-30 01:39:25,343 Epoch: [345][200/631] Time 1.528s (1.573s) Speed 20.9 samples/s Data 0.000s (0.023s) Loss 0.000562 (0.000544) Accuracy 0.882 (0.911) loss_pose: 0.000219 loss_cons: 0.000343 -2023-07-30 01:42:00,367 Epoch: [345][300/631] Time 1.603s (1.566s) Speed 20.0 samples/s Data 0.000s (0.015s) Loss 0.000640 (0.000540) Accuracy 0.910 (0.910) loss_pose: 0.000199 loss_cons: 0.000442 -2023-07-30 01:44:36,181 Epoch: [345][400/631] Time 1.616s (1.564s) Speed 19.8 samples/s Data 0.000s (0.012s) Loss 0.000607 (0.000540) Accuracy 0.883 (0.910) loss_pose: 0.000212 loss_cons: 0.000395 -2023-07-30 01:47:10,721 Epoch: [345][500/631] Time 1.613s (1.560s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000520 (0.000542) Accuracy 0.893 (0.909) loss_pose: 0.000199 loss_cons: 0.000321 -2023-07-30 01:49:46,429 Epoch: [345][600/631] Time 1.608s (1.560s) Speed 19.9 samples/s Data 0.000s (0.008s) Loss 0.000554 (0.000539) Accuracy 0.878 (0.909) loss_pose: 0.000208 loss_cons: 0.000345 -2023-07-30 01:50:32,519 Epoch: [345][630/631] Time 1.525s (1.558s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000501 (0.000539) Accuracy 0.929 (0.910) loss_pose: 0.000190 loss_cons: 0.000311 -2023-07-30 01:50:40,879 Test: [0/199] Time 6.095 (6.095) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 01:51:00,706 Test: [100/199] Time 0.233 (0.257) Loss 0.0002 (0.0002) Accuracy 0.936 (0.885) -2023-07-30 01:51:19,305 Test: [198/199] Time 0.141 (0.224) Loss 0.0002 (0.0002) Accuracy 0.920 (0.883) -2023-07-30 01:51:21,194 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 01:51:30,875 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:51:30,914 The Predictions of Net 1 -2023-07-30 01:51:30,914 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:51:30,914 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:51:30,915 | 256x192_pose_dual_101_d256d256d256 | 0.7579 | 0.9353 | 0.8358 | 0.7362 | 0.7981 | 0.7892 | 0.9455 | 0.8585 | 0.7591 | 0.8354 | -2023-07-30 01:51:31,615 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 01:51:36,358 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:51:36,397 The Predictions of Net 2 -2023-07-30 01:51:36,398 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:51:36,398 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:51:36,398 | 256x192_pose_dual_101_d256d256d256 | 0.7603 | 0.9352 | 0.8363 | 0.7350 | 0.8042 | 0.7909 | 0.9435 | 0.8599 | 0.7588 | 0.8400 | -2023-07-30 01:51:37,091 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 01:51:43,883 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 01:51:43,918 Ensemble Predictions -2023-07-30 01:51:43,918 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 01:51:43,919 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 01:51:43,919 | 256x192_pose_dual_101_d256d256d256 | 0.7685 | 0.9359 | 0.8470 | 0.7439 | 0.8099 | 0.7970 | 0.9462 | 0.8649 | 0.7655 | 0.8452 | -2023-07-30 01:51:43,920 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 01:51:51,988 Epoch: [346][0/631] Time 5.100s (5.100s) Speed 6.3 samples/s Data 3.371s (3.371s) Loss 0.000498 (0.000498) Accuracy 0.903 (0.903) loss_pose: 0.000192 loss_cons: 0.000306 -2023-07-30 01:54:28,755 Epoch: [346][100/631] Time 1.524s (1.603s) Speed 21.0 samples/s Data 0.000s (0.034s) Loss 0.000471 (0.000514) Accuracy 0.892 (0.909) loss_pose: 0.000194 loss_cons: 0.000277 -2023-07-30 01:57:10,131 Epoch: [346][200/631] Time 1.513s (1.608s) Speed 21.1 samples/s Data 0.000s (0.017s) Loss 0.000529 (0.000520) Accuracy 0.933 (0.909) loss_pose: 0.000185 loss_cons: 0.000344 -2023-07-30 01:59:49,316 Epoch: [346][300/631] Time 1.545s (1.603s) Speed 20.7 samples/s Data 0.000s (0.012s) Loss 0.000636 (0.000519) Accuracy 0.916 (0.910) loss_pose: 0.000166 loss_cons: 0.000469 -2023-07-30 02:02:27,796 Epoch: [346][400/631] Time 1.513s (1.598s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000499 (0.000521) Accuracy 0.900 (0.910) loss_pose: 0.000184 loss_cons: 0.000315 -2023-07-30 02:05:03,234 Epoch: [346][500/631] Time 1.591s (1.590s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000591 (0.000522) Accuracy 0.907 (0.910) loss_pose: 0.000248 loss_cons: 0.000342 -2023-07-30 02:07:39,094 Epoch: [346][600/631] Time 1.506s (1.584s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000470 (0.000523) Accuracy 0.926 (0.911) loss_pose: 0.000154 loss_cons: 0.000316 -2023-07-30 02:08:24,584 Epoch: [346][630/631] Time 1.509s (1.581s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000537 (0.000522) Accuracy 0.902 (0.911) loss_pose: 0.000181 loss_cons: 0.000356 -2023-07-30 02:08:33,019 Test: [0/199] Time 6.269 (6.269) Loss 0.0002 (0.0002) Accuracy 0.921 (0.921) -2023-07-30 02:08:52,885 Test: [100/199] Time 0.197 (0.259) Loss 0.0002 (0.0002) Accuracy 0.929 (0.886) -2023-07-30 02:09:11,493 Test: [198/199] Time 0.142 (0.225) Loss 0.0002 (0.0002) Accuracy 0.904 (0.884) -2023-07-30 02:09:13,234 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 02:09:23,413 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:09:23,453 The Predictions of Net 1 -2023-07-30 02:09:23,454 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:09:23,454 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:09:23,455 | 256x192_pose_dual_101_d256d256d256 | 0.7591 | 0.9355 | 0.8358 | 0.7368 | 0.7987 | 0.7894 | 0.9438 | 0.8574 | 0.7588 | 0.8364 | -2023-07-30 02:09:24,149 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 02:09:28,906 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:09:28,940 The Predictions of Net 2 -2023-07-30 02:09:28,941 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:09:28,941 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:09:28,941 | 256x192_pose_dual_101_d256d256d256 | 0.7612 | 0.9353 | 0.8365 | 0.7358 | 0.8043 | 0.7907 | 0.9421 | 0.8599 | 0.7580 | 0.8402 | -2023-07-30 02:09:29,629 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 02:09:34,450 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:09:34,485 Ensemble Predictions -2023-07-30 02:09:34,486 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:09:34,486 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:09:34,486 | 256x192_pose_dual_101_d256d256d256 | 0.7691 | 0.9359 | 0.8465 | 0.7451 | 0.8109 | 0.7975 | 0.9460 | 0.8635 | 0.7657 | 0.8459 | -2023-07-30 02:09:34,487 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 02:09:42,500 Epoch: [347][0/631] Time 4.930s (4.930s) Speed 6.5 samples/s Data 3.217s (3.217s) Loss 0.000486 (0.000486) Accuracy 0.912 (0.912) loss_pose: 0.000183 loss_cons: 0.000303 -2023-07-30 02:12:17,157 Epoch: [347][100/631] Time 1.523s (1.580s) Speed 21.0 samples/s Data 0.000s (0.032s) Loss 0.000544 (0.000512) Accuracy 0.948 (0.913) loss_pose: 0.000173 loss_cons: 0.000371 -2023-07-30 02:14:52,768 Epoch: [347][200/631] Time 1.515s (1.568s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000528 (0.000516) Accuracy 0.879 (0.911) loss_pose: 0.000223 loss_cons: 0.000305 -2023-07-30 02:17:27,233 Epoch: [347][300/631] Time 1.522s (1.560s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000583 (0.000517) Accuracy 0.873 (0.910) loss_pose: 0.000209 loss_cons: 0.000374 -2023-07-30 02:20:02,183 Epoch: [347][400/631] Time 1.516s (1.558s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000526 (0.000517) Accuracy 0.862 (0.910) loss_pose: 0.000201 loss_cons: 0.000324 -2023-07-30 02:22:36,948 Epoch: [347][500/631] Time 1.584s (1.556s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000462 (0.000516) Accuracy 0.932 (0.910) loss_pose: 0.000175 loss_cons: 0.000287 -2023-07-30 02:25:10,313 Epoch: [347][600/631] Time 1.517s (1.552s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000609 (0.000517) Accuracy 0.914 (0.911) loss_pose: 0.000175 loss_cons: 0.000434 -2023-07-30 02:25:55,818 Epoch: [347][630/631] Time 1.508s (1.550s) Speed 21.2 samples/s Data 0.000s (0.005s) Loss 0.000512 (0.000516) Accuracy 0.924 (0.911) loss_pose: 0.000176 loss_cons: 0.000337 -2023-07-30 02:26:03,371 Test: [0/199] Time 5.013 (5.013) Loss 0.0002 (0.0002) Accuracy 0.918 (0.918) -2023-07-30 02:26:23,588 Test: [100/199] Time 0.199 (0.253) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-30 02:26:42,428 Test: [198/199] Time 0.146 (0.223) Loss 0.0002 (0.0002) Accuracy 0.925 (0.883) -2023-07-30 02:26:47,023 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 02:26:55,336 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:26:55,374 The Predictions of Net 1 -2023-07-30 02:26:55,375 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:26:55,375 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:26:55,375 | 256x192_pose_dual_101_d256d256d256 | 0.7572 | 0.9354 | 0.8361 | 0.7353 | 0.8000 | 0.7885 | 0.9435 | 0.8585 | 0.7575 | 0.8360 | -2023-07-30 02:26:56,073 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 02:27:00,918 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:27:00,954 The Predictions of Net 2 -2023-07-30 02:27:00,955 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:27:00,955 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:27:00,955 | 256x192_pose_dual_101_d256d256d256 | 0.7611 | 0.9354 | 0.8363 | 0.7362 | 0.8022 | 0.7908 | 0.9443 | 0.8599 | 0.7586 | 0.8394 | -2023-07-30 02:27:01,657 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 02:27:06,456 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:27:06,491 Ensemble Predictions -2023-07-30 02:27:06,492 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:27:06,492 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:27:06,493 | 256x192_pose_dual_101_d256d256d256 | 0.7671 | 0.9358 | 0.8464 | 0.7429 | 0.8091 | 0.7967 | 0.9463 | 0.8626 | 0.7648 | 0.8454 | -2023-07-30 02:27:06,493 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 02:27:15,508 Epoch: [348][0/631] Time 5.968s (5.968s) Speed 5.4 samples/s Data 4.228s (4.228s) Loss 0.000541 (0.000541) Accuracy 0.849 (0.849) loss_pose: 0.000221 loss_cons: 0.000320 -2023-07-30 02:29:49,655 Epoch: [348][100/631] Time 1.521s (1.585s) Speed 21.0 samples/s Data 0.000s (0.042s) Loss 0.000502 (0.000514) Accuracy 0.879 (0.911) loss_pose: 0.000205 loss_cons: 0.000297 -2023-07-30 02:32:24,766 Epoch: [348][200/631] Time 1.531s (1.568s) Speed 20.9 samples/s Data 0.000s (0.021s) Loss 0.000486 (0.000514) Accuracy 0.894 (0.912) loss_pose: 0.000192 loss_cons: 0.000295 -2023-07-30 02:34:59,827 Epoch: [348][300/631] Time 1.606s (1.562s) Speed 19.9 samples/s Data 0.000s (0.014s) Loss 0.000516 (0.000513) Accuracy 0.911 (0.913) loss_pose: 0.000185 loss_cons: 0.000331 -2023-07-30 02:37:34,143 Epoch: [348][400/631] Time 1.625s (1.558s) Speed 19.7 samples/s Data 0.000s (0.011s) Loss 0.000556 (0.000514) Accuracy 0.903 (0.912) loss_pose: 0.000178 loss_cons: 0.000378 -2023-07-30 02:40:09,406 Epoch: [348][500/631] Time 1.527s (1.557s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000580 (0.000516) Accuracy 0.879 (0.911) loss_pose: 0.000214 loss_cons: 0.000366 -2023-07-30 02:42:45,414 Epoch: [348][600/631] Time 1.513s (1.557s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000494 (0.000516) Accuracy 0.901 (0.911) loss_pose: 0.000163 loss_cons: 0.000331 -2023-07-30 02:43:31,344 Epoch: [348][630/631] Time 1.604s (1.556s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000624 (0.000516) Accuracy 0.878 (0.911) loss_pose: 0.000225 loss_cons: 0.000400 -2023-07-30 02:43:39,308 Test: [0/199] Time 5.691 (5.691) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-30 02:43:58,842 Test: [100/199] Time 0.207 (0.250) Loss 0.0002 (0.0002) Accuracy 0.932 (0.886) -2023-07-30 02:44:17,353 Test: [198/199] Time 0.134 (0.220) Loss 0.0002 (0.0002) Accuracy 0.926 (0.883) -2023-07-30 02:44:18,356 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 02:44:28,759 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:44:28,801 The Predictions of Net 1 -2023-07-30 02:44:28,801 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:44:28,802 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:44:28,802 | 256x192_pose_dual_101_d256d256d256 | 0.7592 | 0.9355 | 0.8363 | 0.7365 | 0.7988 | 0.7893 | 0.9443 | 0.8583 | 0.7587 | 0.8364 | -2023-07-30 02:44:31,586 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 02:44:36,355 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:44:36,388 The Predictions of Net 2 -2023-07-30 02:44:36,389 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:44:36,390 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:44:36,390 | 256x192_pose_dual_101_d256d256d256 | 0.7631 | 0.9353 | 0.8448 | 0.7359 | 0.8039 | 0.7921 | 0.9441 | 0.8608 | 0.7605 | 0.8403 | -2023-07-30 02:44:37,078 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 02:44:41,879 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 02:44:41,913 Ensemble Predictions -2023-07-30 02:44:41,914 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 02:44:41,914 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 02:44:41,915 | 256x192_pose_dual_101_d256d256d256 | 0.7698 | 0.9357 | 0.8465 | 0.7442 | 0.8101 | 0.7977 | 0.9466 | 0.8646 | 0.7659 | 0.8466 | -2023-07-30 02:44:41,915 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 02:44:51,323 Epoch: [349][0/631] Time 5.403s (5.403s) Speed 5.9 samples/s Data 3.692s (3.692s) Loss 0.000442 (0.000442) Accuracy 0.919 (0.919) loss_pose: 0.000164 loss_cons: 0.000278 -2023-07-30 02:47:26,867 Epoch: [349][100/631] Time 1.612s (1.594s) Speed 19.8 samples/s Data 0.000s (0.037s) Loss 0.000546 (0.000514) Accuracy 0.908 (0.911) loss_pose: 0.000172 loss_cons: 0.000373 -2023-07-30 02:50:02,531 Epoch: [349][200/631] Time 1.523s (1.575s) Speed 21.0 samples/s Data 0.000s (0.019s) Loss 0.000505 (0.000519) Accuracy 0.911 (0.910) loss_pose: 0.000165 loss_cons: 0.000340 -2023-07-30 02:52:38,045 Epoch: [349][300/631] Time 1.514s (1.569s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000549 (0.000520) Accuracy 0.895 (0.909) loss_pose: 0.000210 loss_cons: 0.000340 -2023-07-30 02:55:11,738 Epoch: [349][400/631] Time 1.525s (1.561s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000514 (0.000521) Accuracy 0.950 (0.909) loss_pose: 0.000160 loss_cons: 0.000353 -2023-07-30 02:57:45,927 Epoch: [349][500/631] Time 1.515s (1.557s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000518 (0.000522) Accuracy 0.934 (0.910) loss_pose: 0.000180 loss_cons: 0.000338 -2023-07-30 03:00:19,735 Epoch: [349][600/631] Time 1.511s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000597 (0.000522) Accuracy 0.913 (0.910) loss_pose: 0.000194 loss_cons: 0.000402 -2023-07-30 03:01:05,112 Epoch: [349][630/631] Time 1.508s (1.552s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000566 (0.000522) Accuracy 0.896 (0.910) loss_pose: 0.000191 loss_cons: 0.000375 -2023-07-30 03:01:13,160 Test: [0/199] Time 5.766 (5.766) Loss 0.0002 (0.0002) Accuracy 0.907 (0.907) -2023-07-30 03:01:33,069 Test: [100/199] Time 0.198 (0.254) Loss 0.0002 (0.0002) Accuracy 0.937 (0.887) -2023-07-30 03:01:51,665 Test: [198/199] Time 0.139 (0.223) Loss 0.0002 (0.0002) Accuracy 0.934 (0.883) -2023-07-30 03:01:53,601 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 03:02:03,020 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:02:03,075 The Predictions of Net 1 -2023-07-30 03:02:03,076 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:02:03,077 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:02:03,077 | 256x192_pose_dual_101_d256d256d256 | 0.7606 | 0.9351 | 0.8357 | 0.7351 | 0.7987 | 0.7896 | 0.9436 | 0.8577 | 0.7582 | 0.8373 | -2023-07-30 03:02:03,790 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 03:02:08,665 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:02:08,701 The Predictions of Net 2 -2023-07-30 03:02:08,701 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:02:08,702 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:02:08,702 | 256x192_pose_dual_101_d256d256d256 | 0.7619 | 0.9354 | 0.8362 | 0.7359 | 0.8035 | 0.7910 | 0.9430 | 0.8578 | 0.7591 | 0.8395 | -2023-07-30 03:02:11,470 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 03:02:16,331 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:02:16,368 Ensemble Predictions -2023-07-30 03:02:16,368 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:02:16,369 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:02:16,369 | 256x192_pose_dual_101_d256d256d256 | 0.7680 | 0.9358 | 0.8468 | 0.7426 | 0.8103 | 0.7969 | 0.9457 | 0.8634 | 0.7644 | 0.8465 | -2023-07-30 03:02:16,370 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 03:02:25,668 Epoch: [350][0/631] Time 5.296s (5.296s) Speed 6.0 samples/s Data 3.592s (3.592s) Loss 0.000449 (0.000449) Accuracy 0.899 (0.899) loss_pose: 0.000161 loss_cons: 0.000287 -2023-07-30 03:05:01,694 Epoch: [350][100/631] Time 1.522s (1.597s) Speed 21.0 samples/s Data 0.000s (0.036s) Loss 0.000484 (0.000513) Accuracy 0.942 (0.911) loss_pose: 0.000176 loss_cons: 0.000308 -2023-07-30 03:07:36,504 Epoch: [350][200/631] Time 1.620s (1.573s) Speed 19.8 samples/s Data 0.000s (0.018s) Loss 0.000529 (0.000515) Accuracy 0.879 (0.911) loss_pose: 0.000208 loss_cons: 0.000321 -2023-07-30 03:10:12,456 Epoch: [350][300/631] Time 1.523s (1.568s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000608 (0.000517) Accuracy 0.919 (0.910) loss_pose: 0.000172 loss_cons: 0.000436 -2023-07-30 03:12:47,703 Epoch: [350][400/631] Time 1.532s (1.564s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000489 (0.000519) Accuracy 0.922 (0.910) loss_pose: 0.000166 loss_cons: 0.000323 -2023-07-30 03:15:23,944 Epoch: [350][500/631] Time 1.534s (1.564s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000504 (0.000519) Accuracy 0.901 (0.910) loss_pose: 0.000192 loss_cons: 0.000312 -2023-07-30 03:17:57,540 Epoch: [350][600/631] Time 1.511s (1.559s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000542 (0.000520) Accuracy 0.891 (0.910) loss_pose: 0.000181 loss_cons: 0.000361 -2023-07-30 03:18:42,880 Epoch: [350][630/631] Time 1.507s (1.557s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000449 (0.000520) Accuracy 0.918 (0.910) loss_pose: 0.000193 loss_cons: 0.000256 -2023-07-30 03:18:50,760 Test: [0/199] Time 5.207 (5.207) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-30 03:19:11,107 Test: [100/199] Time 0.212 (0.255) Loss 0.0002 (0.0002) Accuracy 0.932 (0.886) -2023-07-30 03:19:29,754 Test: [198/199] Time 0.151 (0.223) Loss 0.0002 (0.0002) Accuracy 0.925 (0.883) -2023-07-30 03:19:31,217 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 03:19:41,044 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:19:41,087 The Predictions of Net 1 -2023-07-30 03:19:41,087 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:19:41,088 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:19:41,088 | 256x192_pose_dual_101_d256d256d256 | 0.7591 | 0.9353 | 0.8358 | 0.7359 | 0.7991 | 0.7896 | 0.9446 | 0.8580 | 0.7585 | 0.8371 | -2023-07-30 03:19:41,784 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 03:19:46,548 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:19:46,582 The Predictions of Net 2 -2023-07-30 03:19:46,582 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:19:46,583 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:19:46,583 | 256x192_pose_dual_101_d256d256d256 | 0.7621 | 0.9353 | 0.8360 | 0.7359 | 0.8054 | 0.7915 | 0.9432 | 0.8596 | 0.7591 | 0.8407 | -2023-07-30 03:19:47,272 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 03:19:52,078 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:19:52,114 Ensemble Predictions -2023-07-30 03:19:52,115 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:19:52,115 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:19:52,115 | 256x192_pose_dual_101_d256d256d256 | 0.7681 | 0.9358 | 0.8468 | 0.7448 | 0.8097 | 0.7970 | 0.9463 | 0.8634 | 0.7650 | 0.8459 | -2023-07-30 03:19:52,116 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 03:20:01,060 Epoch: [351][0/631] Time 5.801s (5.801s) Speed 5.5 samples/s Data 4.130s (4.130s) Loss 0.000530 (0.000530) Accuracy 0.877 (0.877) loss_pose: 0.000198 loss_cons: 0.000331 -2023-07-30 03:22:36,170 Epoch: [351][100/631] Time 1.519s (1.593s) Speed 21.1 samples/s Data 0.000s (0.041s) Loss 0.000486 (0.000515) Accuracy 0.879 (0.913) loss_pose: 0.000183 loss_cons: 0.000303 -2023-07-30 03:25:12,972 Epoch: [351][200/631] Time 1.540s (1.581s) Speed 20.8 samples/s Data 0.000s (0.021s) Loss 0.000461 (0.000515) Accuracy 0.918 (0.911) loss_pose: 0.000170 loss_cons: 0.000291 -2023-07-30 03:27:47,348 Epoch: [351][300/631] Time 1.533s (1.568s) Speed 20.9 samples/s Data 0.000s (0.014s) Loss 0.000636 (0.000516) Accuracy 0.880 (0.911) loss_pose: 0.000207 loss_cons: 0.000429 -2023-07-30 03:30:20,960 Epoch: [351][400/631] Time 1.532s (1.560s) Speed 20.9 samples/s Data 0.000s (0.011s) Loss 0.000489 (0.000517) Accuracy 0.959 (0.912) loss_pose: 0.000139 loss_cons: 0.000349 -2023-07-30 03:32:55,142 Epoch: [351][500/631] Time 1.522s (1.557s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000518 (0.000519) Accuracy 0.882 (0.911) loss_pose: 0.000214 loss_cons: 0.000304 -2023-07-30 03:35:29,183 Epoch: [351][600/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000609 (0.000519) Accuracy 0.883 (0.912) loss_pose: 0.000195 loss_cons: 0.000414 -2023-07-30 03:36:14,590 Epoch: [351][630/631] Time 1.515s (1.552s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000474 (0.000520) Accuracy 0.926 (0.911) loss_pose: 0.000172 loss_cons: 0.000302 -2023-07-30 03:36:22,824 Test: [0/199] Time 5.930 (5.930) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-30 03:36:42,673 Test: [100/199] Time 0.198 (0.255) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-30 03:37:01,485 Test: [198/199] Time 0.162 (0.224) Loss 0.0002 (0.0002) Accuracy 0.910 (0.883) -2023-07-30 03:37:02,939 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 03:37:12,480 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:37:12,516 The Predictions of Net 1 -2023-07-30 03:37:12,517 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:37:12,518 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:37:12,518 | 256x192_pose_dual_101_d256d256d256 | 0.7584 | 0.9352 | 0.8358 | 0.7356 | 0.7985 | 0.7898 | 0.9433 | 0.8583 | 0.7591 | 0.8366 | -2023-07-30 03:37:13,211 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 03:37:18,082 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:37:18,122 The Predictions of Net 2 -2023-07-30 03:37:18,123 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:37:18,123 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:37:18,123 | 256x192_pose_dual_101_d256d256d256 | 0.7621 | 0.9353 | 0.8363 | 0.7359 | 0.8046 | 0.7915 | 0.9427 | 0.8597 | 0.7593 | 0.8406 | -2023-07-30 03:37:18,810 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 03:37:23,590 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:37:23,622 Ensemble Predictions -2023-07-30 03:37:23,623 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:37:23,624 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:37:23,624 | 256x192_pose_dual_101_d256d256d256 | 0.7673 | 0.9358 | 0.8467 | 0.7427 | 0.8092 | 0.7963 | 0.9457 | 0.8635 | 0.7642 | 0.8455 | -2023-07-30 03:37:23,624 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 03:37:31,732 Epoch: [352][0/631] Time 5.076s (5.076s) Speed 6.3 samples/s Data 3.304s (3.304s) Loss 0.000492 (0.000492) Accuracy 0.902 (0.902) loss_pose: 0.000202 loss_cons: 0.000290 -2023-07-30 03:40:06,402 Epoch: [352][100/631] Time 1.538s (1.582s) Speed 20.8 samples/s Data 0.000s (0.033s) Loss 0.000505 (0.000512) Accuracy 0.925 (0.911) loss_pose: 0.000167 loss_cons: 0.000339 -2023-07-30 03:42:42,175 Epoch: [352][200/631] Time 1.576s (1.570s) Speed 20.3 samples/s Data 0.000s (0.017s) Loss 0.000533 (0.000516) Accuracy 0.889 (0.911) loss_pose: 0.000217 loss_cons: 0.000316 -2023-07-30 03:45:16,288 Epoch: [352][300/631] Time 1.652s (1.560s) Speed 19.4 samples/s Data 0.000s (0.011s) Loss 0.000621 (0.000516) Accuracy 0.905 (0.911) loss_pose: 0.000199 loss_cons: 0.000422 -2023-07-30 03:47:50,572 Epoch: [352][400/631] Time 1.596s (1.556s) Speed 20.1 samples/s Data 0.000s (0.009s) Loss 0.000555 (0.000515) Accuracy 0.904 (0.912) loss_pose: 0.000207 loss_cons: 0.000348 -2023-07-30 03:50:25,322 Epoch: [352][500/631] Time 1.618s (1.554s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000475 (0.000514) Accuracy 0.918 (0.912) loss_pose: 0.000166 loss_cons: 0.000309 -2023-07-30 03:52:59,126 Epoch: [352][600/631] Time 1.527s (1.552s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000489 (0.000513) Accuracy 0.935 (0.912) loss_pose: 0.000167 loss_cons: 0.000322 -2023-07-30 03:53:45,777 Epoch: [352][630/631] Time 1.585s (1.552s) Speed 20.2 samples/s Data 0.000s (0.006s) Loss 0.000558 (0.000513) Accuracy 0.890 (0.912) loss_pose: 0.000195 loss_cons: 0.000363 -2023-07-30 03:53:53,155 Test: [0/199] Time 5.066 (5.066) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-30 03:54:13,671 Test: [100/199] Time 0.198 (0.255) Loss 0.0002 (0.0002) Accuracy 0.936 (0.887) -2023-07-30 03:54:32,800 Test: [198/199] Time 0.238 (0.225) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 03:54:33,993 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 03:54:45,184 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:54:45,224 The Predictions of Net 1 -2023-07-30 03:54:45,225 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:54:45,225 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:54:45,225 | 256x192_pose_dual_101_d256d256d256 | 0.7586 | 0.9352 | 0.8361 | 0.7366 | 0.8014 | 0.7898 | 0.9441 | 0.8575 | 0.7591 | 0.8368 | -2023-07-30 03:54:45,925 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 03:54:50,737 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:54:50,771 The Predictions of Net 2 -2023-07-30 03:54:50,771 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:54:50,772 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:54:50,773 | 256x192_pose_dual_101_d256d256d256 | 0.7625 | 0.9353 | 0.8452 | 0.7358 | 0.8047 | 0.7919 | 0.9435 | 0.8604 | 0.7596 | 0.8412 | -2023-07-30 03:54:51,473 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 03:54:56,361 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 03:54:56,397 Ensemble Predictions -2023-07-30 03:54:56,398 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 03:54:56,398 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 03:54:56,398 | 256x192_pose_dual_101_d256d256d256 | 0.7682 | 0.9359 | 0.8467 | 0.7439 | 0.8102 | 0.7971 | 0.9466 | 0.8630 | 0.7652 | 0.8457 | -2023-07-30 03:54:56,399 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 03:55:05,665 Epoch: [353][0/631] Time 6.307s (6.307s) Speed 5.1 samples/s Data 4.592s (4.592s) Loss 0.000432 (0.000432) Accuracy 0.936 (0.936) loss_pose: 0.000175 loss_cons: 0.000257 -2023-07-30 03:57:40,092 Epoch: [353][100/631] Time 1.531s (1.591s) Speed 20.9 samples/s Data 0.000s (0.046s) Loss 0.000560 (0.000522) Accuracy 0.894 (0.912) loss_pose: 0.000194 loss_cons: 0.000366 -2023-07-30 04:00:13,948 Epoch: [353][200/631] Time 1.518s (1.565s) Speed 21.1 samples/s Data 0.000s (0.023s) Loss 0.000475 (0.000518) Accuracy 0.921 (0.910) loss_pose: 0.000170 loss_cons: 0.000305 -2023-07-30 04:02:49,116 Epoch: [353][300/631] Time 1.532s (1.561s) Speed 20.9 samples/s Data 0.001s (0.016s) Loss 0.000587 (0.000521) Accuracy 0.906 (0.910) loss_pose: 0.000172 loss_cons: 0.000415 -2023-07-30 04:05:24,219 Epoch: [353][400/631] Time 1.533s (1.558s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000522 (0.000519) Accuracy 0.866 (0.910) loss_pose: 0.000167 loss_cons: 0.000355 -2023-07-30 04:07:58,097 Epoch: [353][500/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000468 (0.000518) Accuracy 0.912 (0.910) loss_pose: 0.000167 loss_cons: 0.000301 -2023-07-30 04:10:33,263 Epoch: [353][600/631] Time 1.515s (1.554s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000509 (0.000520) Accuracy 0.903 (0.911) loss_pose: 0.000171 loss_cons: 0.000338 -2023-07-30 04:11:18,562 Epoch: [353][630/631] Time 1.505s (1.552s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000539 (0.000520) Accuracy 0.885 (0.911) loss_pose: 0.000190 loss_cons: 0.000349 -2023-07-30 04:11:26,064 Test: [0/199] Time 5.433 (5.433) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 04:11:46,221 Test: [100/199] Time 0.220 (0.254) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-30 04:12:04,856 Test: [198/199] Time 0.155 (0.223) Loss 0.0002 (0.0002) Accuracy 0.922 (0.883) -2023-07-30 04:12:07,016 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 04:12:16,758 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:12:16,802 The Predictions of Net 1 -2023-07-30 04:12:16,802 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:12:16,803 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:12:16,804 | 256x192_pose_dual_101_d256d256d256 | 0.7576 | 0.9350 | 0.8355 | 0.7362 | 0.7992 | 0.7893 | 0.9425 | 0.8575 | 0.7580 | 0.8370 | -2023-07-30 04:12:17,503 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 04:12:24,534 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:12:24,571 The Predictions of Net 2 -2023-07-30 04:12:24,572 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:12:24,572 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:12:24,573 | 256x192_pose_dual_101_d256d256d256 | 0.7621 | 0.9353 | 0.8455 | 0.7359 | 0.8048 | 0.7915 | 0.9425 | 0.8607 | 0.7596 | 0.8401 | -2023-07-30 04:12:25,264 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 04:12:30,072 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:12:30,107 Ensemble Predictions -2023-07-30 04:12:30,108 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:12:30,109 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:12:30,109 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9357 | 0.8467 | 0.7418 | 0.8111 | 0.7973 | 0.9465 | 0.8641 | 0.7648 | 0.8469 | -2023-07-30 04:12:30,111 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 04:12:38,878 Epoch: [354][0/631] Time 5.642s (5.642s) Speed 5.7 samples/s Data 3.935s (3.935s) Loss 0.000495 (0.000495) Accuracy 0.886 (0.886) loss_pose: 0.000170 loss_cons: 0.000326 -2023-07-30 04:15:14,224 Epoch: [354][100/631] Time 1.538s (1.594s) Speed 20.8 samples/s Data 0.000s (0.039s) Loss 0.000566 (0.000508) Accuracy 0.925 (0.913) loss_pose: 0.000178 loss_cons: 0.000388 -2023-07-30 04:17:50,928 Epoch: [354][200/631] Time 1.615s (1.581s) Speed 19.8 samples/s Data 0.000s (0.020s) Loss 0.000509 (0.000509) Accuracy 0.946 (0.914) loss_pose: 0.000158 loss_cons: 0.000351 -2023-07-30 04:20:25,343 Epoch: [354][300/631] Time 1.518s (1.568s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000590 (0.000510) Accuracy 0.919 (0.913) loss_pose: 0.000166 loss_cons: 0.000423 -2023-07-30 04:22:58,735 Epoch: [354][400/631] Time 1.540s (1.560s) Speed 20.8 samples/s Data 0.000s (0.010s) Loss 0.000566 (0.000514) Accuracy 0.895 (0.913) loss_pose: 0.000191 loss_cons: 0.000375 -2023-07-30 04:25:32,843 Epoch: [354][500/631] Time 1.517s (1.556s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000428 (0.000514) Accuracy 0.940 (0.913) loss_pose: 0.000158 loss_cons: 0.000269 -2023-07-30 04:28:08,063 Epoch: [354][600/631] Time 1.514s (1.555s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000529 (0.000514) Accuracy 0.911 (0.912) loss_pose: 0.000160 loss_cons: 0.000369 -2023-07-30 04:28:53,752 Epoch: [354][630/631] Time 1.519s (1.554s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000539 (0.000514) Accuracy 0.918 (0.912) loss_pose: 0.000179 loss_cons: 0.000360 -2023-07-30 04:29:01,208 Test: [0/199] Time 5.257 (5.257) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-30 04:29:21,685 Test: [100/199] Time 0.201 (0.257) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-30 04:29:40,492 Test: [198/199] Time 0.259 (0.225) Loss 0.0002 (0.0002) Accuracy 0.921 (0.883) -2023-07-30 04:29:41,887 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 04:29:51,619 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:29:51,656 The Predictions of Net 1 -2023-07-30 04:29:51,657 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:29:51,658 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:29:51,658 | 256x192_pose_dual_101_d256d256d256 | 0.7581 | 0.9353 | 0.8355 | 0.7352 | 0.7989 | 0.7890 | 0.9435 | 0.8569 | 0.7577 | 0.8369 | -2023-07-30 04:29:52,351 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 04:29:57,180 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:29:57,220 The Predictions of Net 2 -2023-07-30 04:29:57,220 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:29:57,221 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:29:57,221 | 256x192_pose_dual_101_d256d256d256 | 0.7608 | 0.9352 | 0.8362 | 0.7358 | 0.8048 | 0.7912 | 0.9432 | 0.8597 | 0.7591 | 0.8401 | -2023-07-30 04:29:57,912 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 04:30:04,870 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:30:04,905 Ensemble Predictions -2023-07-30 04:30:04,905 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:30:04,906 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:30:04,906 | 256x192_pose_dual_101_d256d256d256 | 0.7671 | 0.9357 | 0.8466 | 0.7428 | 0.8084 | 0.7963 | 0.9463 | 0.8635 | 0.7645 | 0.8451 | -2023-07-30 04:30:04,907 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 04:30:13,816 Epoch: [355][0/631] Time 5.679s (5.679s) Speed 5.6 samples/s Data 3.970s (3.970s) Loss 0.000431 (0.000431) Accuracy 0.899 (0.899) loss_pose: 0.000198 loss_cons: 0.000234 -2023-07-30 04:32:48,401 Epoch: [355][100/631] Time 1.594s (1.587s) Speed 20.1 samples/s Data 0.000s (0.040s) Loss 0.000492 (0.000508) Accuracy 0.929 (0.913) loss_pose: 0.000161 loss_cons: 0.000331 -2023-07-30 04:35:29,418 Epoch: [355][200/631] Time 1.535s (1.598s) Speed 20.8 samples/s Data 0.000s (0.020s) Loss 0.000524 (0.000507) Accuracy 0.904 (0.913) loss_pose: 0.000189 loss_cons: 0.000335 -2023-07-30 04:38:06,607 Epoch: [355][300/631] Time 1.520s (1.590s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000538 (0.000510) Accuracy 0.902 (0.913) loss_pose: 0.000183 loss_cons: 0.000355 -2023-07-30 04:40:45,759 Epoch: [355][400/631] Time 1.511s (1.590s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000518 (0.000513) Accuracy 0.892 (0.914) loss_pose: 0.000184 loss_cons: 0.000334 -2023-07-30 04:43:19,751 Epoch: [355][500/631] Time 1.517s (1.580s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000469 (0.000513) Accuracy 0.892 (0.913) loss_pose: 0.000208 loss_cons: 0.000261 -2023-07-30 04:45:56,708 Epoch: [355][600/631] Time 1.527s (1.578s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000597 (0.000514) Accuracy 0.911 (0.913) loss_pose: 0.000173 loss_cons: 0.000424 -2023-07-30 04:46:42,151 Epoch: [355][630/631] Time 1.511s (1.575s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000465 (0.000514) Accuracy 0.904 (0.913) loss_pose: 0.000178 loss_cons: 0.000287 -2023-07-30 04:46:50,038 Test: [0/199] Time 5.900 (5.900) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-30 04:47:10,195 Test: [100/199] Time 0.203 (0.259) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-30 04:47:29,002 Test: [198/199] Time 0.152 (0.226) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 04:47:30,708 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 04:47:39,844 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:47:39,884 The Predictions of Net 1 -2023-07-30 04:47:39,884 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:47:39,885 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:47:39,886 | 256x192_pose_dual_101_d256d256d256 | 0.7590 | 0.9352 | 0.8355 | 0.7354 | 0.7992 | 0.7894 | 0.9430 | 0.8578 | 0.7582 | 0.8371 | -2023-07-30 04:47:40,590 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 04:47:45,340 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:47:45,374 The Predictions of Net 2 -2023-07-30 04:47:45,374 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:47:45,375 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:47:45,375 | 256x192_pose_dual_101_d256d256d256 | 0.7625 | 0.9352 | 0.8362 | 0.7358 | 0.8053 | 0.7915 | 0.9430 | 0.8599 | 0.7592 | 0.8407 | -2023-07-30 04:47:46,068 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 04:47:50,863 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 04:47:50,898 Ensemble Predictions -2023-07-30 04:47:50,899 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 04:47:50,899 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 04:47:50,899 | 256x192_pose_dual_101_d256d256d256 | 0.7689 | 0.9358 | 0.8468 | 0.7437 | 0.8097 | 0.7970 | 0.9468 | 0.8641 | 0.7648 | 0.8462 | -2023-07-30 04:47:50,900 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 04:47:59,055 Epoch: [356][0/631] Time 5.203s (5.203s) Speed 6.2 samples/s Data 3.408s (3.408s) Loss 0.000470 (0.000470) Accuracy 0.894 (0.894) loss_pose: 0.000175 loss_cons: 0.000295 -2023-07-30 04:50:34,437 Epoch: [356][100/631] Time 1.592s (1.590s) Speed 20.1 samples/s Data 0.000s (0.034s) Loss 0.000432 (0.000511) Accuracy 0.890 (0.912) loss_pose: 0.000160 loss_cons: 0.000272 -2023-07-30 04:53:10,057 Epoch: [356][200/631] Time 1.608s (1.573s) Speed 19.9 samples/s Data 0.000s (0.017s) Loss 0.000473 (0.000513) Accuracy 0.882 (0.913) loss_pose: 0.000157 loss_cons: 0.000317 -2023-07-30 04:55:44,762 Epoch: [356][300/631] Time 1.598s (1.564s) Speed 20.0 samples/s Data 0.000s (0.012s) Loss 0.000591 (0.000518) Accuracy 0.949 (0.912) loss_pose: 0.000159 loss_cons: 0.000432 -2023-07-30 04:58:19,105 Epoch: [356][400/631] Time 1.536s (1.559s) Speed 20.8 samples/s Data 0.000s (0.009s) Loss 0.000485 (0.000518) Accuracy 0.901 (0.913) loss_pose: 0.000169 loss_cons: 0.000316 -2023-07-30 05:00:52,444 Epoch: [356][500/631] Time 1.516s (1.554s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000520 (0.000518) Accuracy 0.865 (0.913) loss_pose: 0.000212 loss_cons: 0.000308 -2023-07-30 05:03:25,613 Epoch: [356][600/631] Time 1.513s (1.550s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000546 (0.000517) Accuracy 0.922 (0.913) loss_pose: 0.000168 loss_cons: 0.000378 -2023-07-30 05:04:10,933 Epoch: [356][630/631] Time 1.515s (1.548s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000508 (0.000517) Accuracy 0.926 (0.913) loss_pose: 0.000197 loss_cons: 0.000312 -2023-07-30 05:04:19,107 Test: [0/199] Time 5.986 (5.986) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-30 05:04:39,020 Test: [100/199] Time 0.200 (0.256) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-30 05:04:57,876 Test: [198/199] Time 0.231 (0.225) Loss 0.0002 (0.0002) Accuracy 0.912 (0.883) -2023-07-30 05:04:59,517 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 05:05:11,073 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:05:11,120 The Predictions of Net 1 -2023-07-30 05:05:11,120 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:05:11,121 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:05:11,122 | 256x192_pose_dual_101_d256d256d256 | 0.7602 | 0.9354 | 0.8361 | 0.7358 | 0.8000 | 0.7900 | 0.9446 | 0.8585 | 0.7594 | 0.8369 | -2023-07-30 05:05:11,819 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 05:05:16,714 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:05:16,753 The Predictions of Net 2 -2023-07-30 05:05:16,754 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:05:16,754 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:05:16,754 | 256x192_pose_dual_101_d256d256d256 | 0.7601 | 0.9355 | 0.8360 | 0.7359 | 0.8045 | 0.7909 | 0.9433 | 0.8597 | 0.7592 | 0.8394 | -2023-07-30 05:05:17,445 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 05:05:22,250 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:05:22,286 Ensemble Predictions -2023-07-30 05:05:22,287 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:05:22,287 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:05:22,288 | 256x192_pose_dual_101_d256d256d256 | 0.7680 | 0.9358 | 0.8464 | 0.7446 | 0.8101 | 0.7972 | 0.9471 | 0.8632 | 0.7657 | 0.8453 | -2023-07-30 05:05:22,289 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 05:05:30,670 Epoch: [357][0/631] Time 5.363s (5.363s) Speed 6.0 samples/s Data 3.688s (3.688s) Loss 0.000496 (0.000496) Accuracy 0.908 (0.908) loss_pose: 0.000167 loss_cons: 0.000329 -2023-07-30 05:08:06,587 Epoch: [357][100/631] Time 1.520s (1.597s) Speed 21.1 samples/s Data 0.001s (0.037s) Loss 0.000426 (0.000515) Accuracy 0.901 (0.907) loss_pose: 0.000191 loss_cons: 0.000235 -2023-07-30 05:10:40,677 Epoch: [357][200/631] Time 1.515s (1.569s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000542 (0.000517) Accuracy 0.947 (0.909) loss_pose: 0.000149 loss_cons: 0.000393 -2023-07-30 05:13:14,281 Epoch: [357][300/631] Time 1.512s (1.558s) Speed 21.2 samples/s Data 0.001s (0.013s) Loss 0.000556 (0.000519) Accuracy 0.902 (0.910) loss_pose: 0.000185 loss_cons: 0.000371 -2023-07-30 05:15:49,744 Epoch: [357][400/631] Time 1.546s (1.557s) Speed 20.7 samples/s Data 0.001s (0.010s) Loss 0.000571 (0.000519) Accuracy 0.921 (0.911) loss_pose: 0.000183 loss_cons: 0.000387 -2023-07-30 05:18:23,620 Epoch: [357][500/631] Time 1.527s (1.554s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000549 (0.000519) Accuracy 0.926 (0.912) loss_pose: 0.000175 loss_cons: 0.000374 -2023-07-30 05:20:58,154 Epoch: [357][600/631] Time 1.514s (1.552s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000518 (0.000518) Accuracy 0.918 (0.911) loss_pose: 0.000193 loss_cons: 0.000325 -2023-07-30 05:21:44,596 Epoch: [357][630/631] Time 1.516s (1.552s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000492 (0.000519) Accuracy 0.929 (0.912) loss_pose: 0.000168 loss_cons: 0.000324 -2023-07-30 05:21:52,276 Test: [0/199] Time 5.630 (5.630) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-30 05:22:12,507 Test: [100/199] Time 0.198 (0.257) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 05:22:31,400 Test: [198/199] Time 0.303 (0.225) Loss 0.0002 (0.0002) Accuracy 0.922 (0.884) -2023-07-30 05:22:33,063 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 05:22:42,578 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:22:42,621 The Predictions of Net 1 -2023-07-30 05:22:42,623 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:22:42,623 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:22:42,623 | 256x192_pose_dual_101_d256d256d256 | 0.7590 | 0.9350 | 0.8358 | 0.7355 | 0.7992 | 0.7897 | 0.9435 | 0.8580 | 0.7588 | 0.8369 | -2023-07-30 05:22:43,316 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 05:22:50,146 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:22:50,179 The Predictions of Net 2 -2023-07-30 05:22:50,179 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:22:50,180 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:22:50,181 | 256x192_pose_dual_101_d256d256d256 | 0.7615 | 0.9354 | 0.8359 | 0.7358 | 0.8033 | 0.7915 | 0.9436 | 0.8599 | 0.7596 | 0.8402 | -2023-07-30 05:22:50,867 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 05:22:55,565 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:22:55,597 Ensemble Predictions -2023-07-30 05:22:55,598 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:22:55,598 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:22:55,598 | 256x192_pose_dual_101_d256d256d256 | 0.7678 | 0.9356 | 0.8467 | 0.7429 | 0.8092 | 0.7967 | 0.9463 | 0.8638 | 0.7648 | 0.8456 | -2023-07-30 05:22:55,599 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 05:23:04,414 Epoch: [358][0/631] Time 5.860s (5.860s) Speed 5.5 samples/s Data 4.153s (4.153s) Loss 0.000513 (0.000513) Accuracy 0.877 (0.877) loss_pose: 0.000238 loss_cons: 0.000276 -2023-07-30 05:25:40,877 Epoch: [358][100/631] Time 1.542s (1.607s) Speed 20.8 samples/s Data 0.001s (0.042s) Loss 0.000536 (0.000509) Accuracy 0.938 (0.915) loss_pose: 0.000156 loss_cons: 0.000380 -2023-07-30 05:28:18,172 Epoch: [358][200/631] Time 1.577s (1.590s) Speed 20.3 samples/s Data 0.000s (0.021s) Loss 0.000488 (0.000514) Accuracy 0.916 (0.913) loss_pose: 0.000174 loss_cons: 0.000313 -2023-07-30 05:30:53,119 Epoch: [358][300/631] Time 1.566s (1.577s) Speed 20.4 samples/s Data 0.000s (0.014s) Loss 0.000654 (0.000516) Accuracy 0.904 (0.913) loss_pose: 0.000180 loss_cons: 0.000474 -2023-07-30 05:33:27,994 Epoch: [358][400/631] Time 1.527s (1.570s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000628 (0.000520) Accuracy 0.883 (0.912) loss_pose: 0.000202 loss_cons: 0.000426 -2023-07-30 05:36:03,284 Epoch: [358][500/631] Time 1.528s (1.566s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000446 (0.000519) Accuracy 0.933 (0.911) loss_pose: 0.000155 loss_cons: 0.000291 -2023-07-30 05:38:38,443 Epoch: [358][600/631] Time 1.612s (1.564s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000615 (0.000519) Accuracy 0.877 (0.911) loss_pose: 0.000240 loss_cons: 0.000375 -2023-07-30 05:39:25,503 Epoch: [358][630/631] Time 1.513s (1.564s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000495 (0.000519) Accuracy 0.920 (0.911) loss_pose: 0.000184 loss_cons: 0.000310 -2023-07-30 05:39:33,338 Test: [0/199] Time 5.638 (5.638) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-30 05:39:53,523 Test: [100/199] Time 0.202 (0.256) Loss 0.0002 (0.0002) Accuracy 0.932 (0.886) -2023-07-30 05:40:12,097 Test: [198/199] Time 0.141 (0.224) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 05:40:13,893 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 05:40:22,556 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:40:22,609 The Predictions of Net 1 -2023-07-30 05:40:22,610 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:40:22,612 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:40:22,612 | 256x192_pose_dual_101_d256d256d256 | 0.7592 | 0.9352 | 0.8359 | 0.7362 | 0.7981 | 0.7897 | 0.9433 | 0.8578 | 0.7594 | 0.8363 | -2023-07-30 05:40:23,336 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 05:40:28,122 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:40:28,156 The Predictions of Net 2 -2023-07-30 05:40:28,157 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:40:28,157 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:40:28,157 | 256x192_pose_dual_101_d256d256d256 | 0.7634 | 0.9353 | 0.8455 | 0.7357 | 0.8053 | 0.7919 | 0.9435 | 0.8621 | 0.7594 | 0.8413 | -2023-07-30 05:40:28,843 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 05:40:35,792 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:40:35,827 Ensemble Predictions -2023-07-30 05:40:35,827 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:40:35,828 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:40:35,829 | 256x192_pose_dual_101_d256d256d256 | 0.7683 | 0.9360 | 0.8468 | 0.7437 | 0.8111 | 0.7973 | 0.9474 | 0.8640 | 0.7650 | 0.8466 | -2023-07-30 05:40:35,830 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 05:40:46,067 Epoch: [359][0/631] Time 6.184s (6.184s) Speed 5.2 samples/s Data 4.510s (4.510s) Loss 0.000513 (0.000513) Accuracy 0.863 (0.863) loss_pose: 0.000211 loss_cons: 0.000302 -2023-07-30 05:43:21,962 Epoch: [359][100/631] Time 1.605s (1.605s) Speed 19.9 samples/s Data 0.000s (0.045s) Loss 0.000468 (0.000516) Accuracy 0.911 (0.914) loss_pose: 0.000163 loss_cons: 0.000304 -2023-07-30 05:45:56,048 Epoch: [359][200/631] Time 1.525s (1.573s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000552 (0.000519) Accuracy 0.915 (0.912) loss_pose: 0.000169 loss_cons: 0.000384 -2023-07-30 05:48:29,945 Epoch: [359][300/631] Time 1.541s (1.562s) Speed 20.8 samples/s Data 0.000s (0.015s) Loss 0.000603 (0.000519) Accuracy 0.865 (0.911) loss_pose: 0.000227 loss_cons: 0.000377 -2023-07-30 05:51:03,260 Epoch: [359][400/631] Time 1.511s (1.555s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000468 (0.000520) Accuracy 0.933 (0.911) loss_pose: 0.000167 loss_cons: 0.000301 -2023-07-30 05:53:37,246 Epoch: [359][500/631] Time 1.611s (1.552s) Speed 19.9 samples/s Data 0.000s (0.009s) Loss 0.000464 (0.000518) Accuracy 0.905 (0.911) loss_pose: 0.000206 loss_cons: 0.000258 -2023-07-30 05:56:10,318 Epoch: [359][600/631] Time 1.515s (1.548s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000458 (0.000518) Accuracy 0.941 (0.911) loss_pose: 0.000153 loss_cons: 0.000305 -2023-07-30 05:56:55,690 Epoch: [359][630/631] Time 1.518s (1.546s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000535 (0.000519) Accuracy 0.920 (0.911) loss_pose: 0.000226 loss_cons: 0.000308 -2023-07-30 05:57:04,012 Test: [0/199] Time 6.216 (6.216) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-30 05:57:23,985 Test: [100/199] Time 0.204 (0.259) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-30 05:57:43,258 Test: [198/199] Time 0.256 (0.229) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 05:57:44,395 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 05:57:54,091 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:57:54,135 The Predictions of Net 1 -2023-07-30 05:57:54,136 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:57:54,136 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:57:54,136 | 256x192_pose_dual_101_d256d256d256 | 0.7601 | 0.9353 | 0.8358 | 0.7357 | 0.8004 | 0.7896 | 0.9435 | 0.8574 | 0.7586 | 0.8371 | -2023-07-30 05:57:54,832 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 05:57:59,703 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:57:59,740 The Predictions of Net 2 -2023-07-30 05:57:59,741 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:57:59,741 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:57:59,741 | 256x192_pose_dual_101_d256d256d256 | 0.7622 | 0.9353 | 0.8453 | 0.7363 | 0.8046 | 0.7918 | 0.9435 | 0.8602 | 0.7595 | 0.8411 | -2023-07-30 05:58:00,434 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 05:58:05,199 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 05:58:05,233 Ensemble Predictions -2023-07-30 05:58:05,233 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 05:58:05,234 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 05:58:05,234 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9358 | 0.8470 | 0.7432 | 0.8108 | 0.7972 | 0.9465 | 0.8646 | 0.7650 | 0.8463 | -2023-07-30 05:58:05,236 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 05:58:13,679 Epoch: [360][0/631] Time 5.429s (5.429s) Speed 5.9 samples/s Data 3.723s (3.723s) Loss 0.000445 (0.000445) Accuracy 0.879 (0.879) loss_pose: 0.000192 loss_cons: 0.000253 -2023-07-30 06:00:47,705 Epoch: [360][100/631] Time 1.519s (1.579s) Speed 21.1 samples/s Data 0.000s (0.037s) Loss 0.000512 (0.000513) Accuracy 0.935 (0.908) loss_pose: 0.000164 loss_cons: 0.000348 -2023-07-30 06:03:22,364 Epoch: [360][200/631] Time 1.522s (1.563s) Speed 21.0 samples/s Data 0.000s (0.019s) Loss 0.000659 (0.000515) Accuracy 0.935 (0.913) loss_pose: 0.000208 loss_cons: 0.000451 -2023-07-30 06:05:57,159 Epoch: [360][300/631] Time 1.601s (1.558s) Speed 20.0 samples/s Data 0.000s (0.013s) Loss 0.000521 (0.000514) Accuracy 0.913 (0.911) loss_pose: 0.000152 loss_cons: 0.000368 -2023-07-30 06:08:31,655 Epoch: [360][400/631] Time 1.526s (1.555s) Speed 21.0 samples/s Data 0.000s (0.010s) Loss 0.000515 (0.000518) Accuracy 0.884 (0.910) loss_pose: 0.000200 loss_cons: 0.000315 -2023-07-30 06:11:06,119 Epoch: [360][500/631] Time 1.644s (1.553s) Speed 19.5 samples/s Data 0.000s (0.008s) Loss 0.000459 (0.000518) Accuracy 0.913 (0.910) loss_pose: 0.000184 loss_cons: 0.000275 -2023-07-30 06:13:40,921 Epoch: [360][600/631] Time 1.597s (1.552s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000522 (0.000518) Accuracy 0.880 (0.911) loss_pose: 0.000210 loss_cons: 0.000312 -2023-07-30 06:14:27,004 Epoch: [360][630/631] Time 1.507s (1.551s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000550 (0.000519) Accuracy 0.894 (0.911) loss_pose: 0.000201 loss_cons: 0.000349 -2023-07-30 06:14:35,204 Test: [0/199] Time 6.007 (6.007) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-30 06:14:54,911 Test: [100/199] Time 0.207 (0.255) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-30 06:15:13,733 Test: [198/199] Time 0.206 (0.224) Loss 0.0002 (0.0002) Accuracy 0.922 (0.883) -2023-07-30 06:15:18,083 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 06:15:27,308 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:15:27,345 The Predictions of Net 1 -2023-07-30 06:15:27,346 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:15:27,347 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:15:27,347 | 256x192_pose_dual_101_d256d256d256 | 0.7575 | 0.9353 | 0.8358 | 0.7355 | 0.7993 | 0.7895 | 0.9441 | 0.8574 | 0.7586 | 0.8371 | -2023-07-30 06:15:28,035 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 06:15:32,796 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:15:32,829 The Predictions of Net 2 -2023-07-30 06:15:32,829 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:15:32,830 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:15:32,830 | 256x192_pose_dual_101_d256d256d256 | 0.7616 | 0.9353 | 0.8363 | 0.7358 | 0.8045 | 0.7914 | 0.9440 | 0.8594 | 0.7589 | 0.8408 | -2023-07-30 06:15:33,519 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 06:15:38,258 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:15:38,290 Ensemble Predictions -2023-07-30 06:15:38,291 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:15:38,291 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:15:38,291 | 256x192_pose_dual_101_d256d256d256 | 0.7682 | 0.9358 | 0.8468 | 0.7439 | 0.8101 | 0.7970 | 0.9473 | 0.8641 | 0.7656 | 0.8452 | -2023-07-30 06:15:38,292 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 06:15:46,962 Epoch: [361][0/631] Time 5.618s (5.618s) Speed 5.7 samples/s Data 3.854s (3.854s) Loss 0.000494 (0.000494) Accuracy 0.930 (0.930) loss_pose: 0.000170 loss_cons: 0.000325 -2023-07-30 06:18:22,628 Epoch: [361][100/631] Time 1.546s (1.597s) Speed 20.7 samples/s Data 0.000s (0.039s) Loss 0.000531 (0.000507) Accuracy 0.878 (0.914) loss_pose: 0.000185 loss_cons: 0.000346 -2023-07-30 06:20:58,570 Epoch: [361][200/631] Time 1.554s (1.578s) Speed 20.6 samples/s Data 0.000s (0.020s) Loss 0.000516 (0.000516) Accuracy 0.909 (0.912) loss_pose: 0.000144 loss_cons: 0.000371 -2023-07-30 06:23:34,323 Epoch: [361][300/631] Time 1.606s (1.571s) Speed 19.9 samples/s Data 0.000s (0.013s) Loss 0.000561 (0.000518) Accuracy 0.883 (0.912) loss_pose: 0.000192 loss_cons: 0.000369 -2023-07-30 06:26:08,399 Epoch: [361][400/631] Time 1.606s (1.564s) Speed 19.9 samples/s Data 0.000s (0.010s) Loss 0.000567 (0.000517) Accuracy 0.934 (0.912) loss_pose: 0.000151 loss_cons: 0.000415 -2023-07-30 06:28:42,905 Epoch: [361][500/631] Time 1.619s (1.560s) Speed 19.8 samples/s Data 0.000s (0.008s) Loss 0.000496 (0.000517) Accuracy 0.888 (0.912) loss_pose: 0.000231 loss_cons: 0.000265 -2023-07-30 06:31:16,191 Epoch: [361][600/631] Time 1.536s (1.555s) Speed 20.8 samples/s Data 0.000s (0.007s) Loss 0.000560 (0.000518) Accuracy 0.925 (0.912) loss_pose: 0.000202 loss_cons: 0.000358 -2023-07-30 06:32:02,821 Epoch: [361][630/631] Time 1.583s (1.555s) Speed 20.2 samples/s Data 0.000s (0.007s) Loss 0.000487 (0.000518) Accuracy 0.908 (0.912) loss_pose: 0.000182 loss_cons: 0.000305 -2023-07-30 06:32:10,858 Test: [0/199] Time 5.871 (5.871) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 06:32:30,809 Test: [100/199] Time 0.194 (0.256) Loss 0.0002 (0.0002) Accuracy 0.937 (0.887) -2023-07-30 06:32:49,900 Test: [198/199] Time 0.349 (0.226) Loss 0.0002 (0.0002) Accuracy 0.917 (0.884) -2023-07-30 06:32:51,316 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 06:33:01,129 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:33:01,170 The Predictions of Net 1 -2023-07-30 06:33:01,172 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:33:01,172 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:33:01,172 | 256x192_pose_dual_101_d256d256d256 | 0.7585 | 0.9353 | 0.8360 | 0.7345 | 0.7996 | 0.7891 | 0.9427 | 0.8578 | 0.7575 | 0.8375 | -2023-07-30 06:33:03,988 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 06:33:08,760 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:33:08,795 The Predictions of Net 2 -2023-07-30 06:33:08,796 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:33:08,796 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:33:08,796 | 256x192_pose_dual_101_d256d256d256 | 0.7611 | 0.9352 | 0.8362 | 0.7359 | 0.8046 | 0.7915 | 0.9440 | 0.8597 | 0.7591 | 0.8410 | -2023-07-30 06:33:09,488 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 06:33:14,312 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:33:14,349 Ensemble Predictions -2023-07-30 06:33:14,349 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:33:14,350 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:33:14,350 | 256x192_pose_dual_101_d256d256d256 | 0.7680 | 0.9357 | 0.8467 | 0.7438 | 0.8101 | 0.7965 | 0.9460 | 0.8630 | 0.7642 | 0.8458 | -2023-07-30 06:33:14,351 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 06:33:23,674 Epoch: [362][0/631] Time 6.107s (6.107s) Speed 5.2 samples/s Data 4.420s (4.420s) Loss 0.000444 (0.000444) Accuracy 0.933 (0.933) loss_pose: 0.000163 loss_cons: 0.000281 -2023-07-30 06:35:59,026 Epoch: [362][100/631] Time 1.516s (1.599s) Speed 21.1 samples/s Data 0.000s (0.044s) Loss 0.000470 (0.000522) Accuracy 0.918 (0.912) loss_pose: 0.000190 loss_cons: 0.000280 -2023-07-30 06:38:33,970 Epoch: [362][200/631] Time 1.521s (1.574s) Speed 21.0 samples/s Data 0.000s (0.022s) Loss 0.000474 (0.000517) Accuracy 0.878 (0.912) loss_pose: 0.000192 loss_cons: 0.000283 -2023-07-30 06:41:09,976 Epoch: [362][300/631] Time 1.575s (1.569s) Speed 20.3 samples/s Data 0.000s (0.015s) Loss 0.000550 (0.000516) Accuracy 0.886 (0.912) loss_pose: 0.000211 loss_cons: 0.000339 -2023-07-30 06:43:45,121 Epoch: [362][400/631] Time 1.516s (1.565s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000527 (0.000516) Accuracy 0.872 (0.911) loss_pose: 0.000186 loss_cons: 0.000341 -2023-07-30 06:46:19,518 Epoch: [362][500/631] Time 1.522s (1.561s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000470 (0.000516) Accuracy 0.940 (0.912) loss_pose: 0.000180 loss_cons: 0.000290 -2023-07-30 06:48:53,053 Epoch: [362][600/631] Time 1.532s (1.557s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000651 (0.000516) Accuracy 0.902 (0.912) loss_pose: 0.000242 loss_cons: 0.000410 -2023-07-30 06:49:38,470 Epoch: [362][630/631] Time 1.510s (1.555s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000524 (0.000517) Accuracy 0.913 (0.912) loss_pose: 0.000169 loss_cons: 0.000355 -2023-07-30 06:49:46,309 Test: [0/199] Time 5.466 (5.466) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 06:50:06,649 Test: [100/199] Time 0.207 (0.257) Loss 0.0002 (0.0002) Accuracy 0.941 (0.887) -2023-07-30 06:50:25,340 Test: [198/199] Time 0.142 (0.224) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 06:50:26,994 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 06:50:36,002 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:50:36,046 The Predictions of Net 1 -2023-07-30 06:50:36,048 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:50:36,048 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:50:36,048 | 256x192_pose_dual_101_d256d256d256 | 0.7585 | 0.9351 | 0.8360 | 0.7357 | 0.8000 | 0.7898 | 0.9438 | 0.8580 | 0.7593 | 0.8366 | -2023-07-30 06:50:36,752 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 06:50:43,757 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:50:43,791 The Predictions of Net 2 -2023-07-30 06:50:43,791 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:50:43,792 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:50:43,793 | 256x192_pose_dual_101_d256d256d256 | 0.7641 | 0.9354 | 0.8452 | 0.7360 | 0.8054 | 0.7924 | 0.9440 | 0.8605 | 0.7603 | 0.8414 | -2023-07-30 06:50:44,480 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 06:50:49,211 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 06:50:49,245 Ensemble Predictions -2023-07-30 06:50:49,246 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 06:50:49,247 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 06:50:49,247 | 256x192_pose_dual_101_d256d256d256 | 0.7673 | 0.9361 | 0.8465 | 0.7439 | 0.8103 | 0.7970 | 0.9476 | 0.8627 | 0.7653 | 0.8455 | -2023-07-30 06:50:49,248 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 06:50:59,454 Epoch: [363][0/631] Time 6.007s (6.007s) Speed 5.3 samples/s Data 4.328s (4.328s) Loss 0.000497 (0.000497) Accuracy 0.885 (0.885) loss_pose: 0.000226 loss_cons: 0.000270 -2023-07-30 06:53:33,659 Epoch: [363][100/631] Time 1.529s (1.586s) Speed 20.9 samples/s Data 0.000s (0.043s) Loss 0.000646 (0.000510) Accuracy 0.884 (0.909) loss_pose: 0.000209 loss_cons: 0.000437 -2023-07-30 06:56:08,207 Epoch: [363][200/631] Time 1.528s (1.566s) Speed 20.9 samples/s Data 0.000s (0.022s) Loss 0.000426 (0.000513) Accuracy 0.947 (0.909) loss_pose: 0.000152 loss_cons: 0.000273 -2023-07-30 06:58:42,546 Epoch: [363][300/631] Time 1.515s (1.558s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000629 (0.000513) Accuracy 0.890 (0.910) loss_pose: 0.000191 loss_cons: 0.000438 -2023-07-30 07:01:16,893 Epoch: [363][400/631] Time 1.513s (1.555s) Speed 21.1 samples/s Data 0.000s (0.011s) Loss 0.000549 (0.000517) Accuracy 0.937 (0.909) loss_pose: 0.000168 loss_cons: 0.000381 -2023-07-30 07:03:52,025 Epoch: [363][500/631] Time 1.586s (1.554s) Speed 20.2 samples/s Data 0.000s (0.009s) Loss 0.000452 (0.000517) Accuracy 0.888 (0.909) loss_pose: 0.000179 loss_cons: 0.000273 -2023-07-30 07:06:26,737 Epoch: [363][600/631] Time 1.517s (1.553s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000490 (0.000518) Accuracy 0.920 (0.909) loss_pose: 0.000173 loss_cons: 0.000318 -2023-07-30 07:07:12,176 Epoch: [363][630/631] Time 1.507s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000449 (0.000518) Accuracy 0.909 (0.909) loss_pose: 0.000176 loss_cons: 0.000273 -2023-07-30 07:07:20,112 Test: [0/199] Time 5.909 (5.909) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 07:07:39,940 Test: [100/199] Time 0.206 (0.255) Loss 0.0002 (0.0002) Accuracy 0.936 (0.887) -2023-07-30 07:07:58,592 Test: [198/199] Time 0.138 (0.223) Loss 0.0002 (0.0002) Accuracy 0.917 (0.884) -2023-07-30 07:08:00,433 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 07:08:09,688 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:08:09,723 The Predictions of Net 1 -2023-07-30 07:08:09,724 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:08:09,725 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:08:09,725 | 256x192_pose_dual_101_d256d256d256 | 0.7577 | 0.9352 | 0.8358 | 0.7368 | 0.7995 | 0.7898 | 0.9430 | 0.8582 | 0.7588 | 0.8373 | -2023-07-30 07:08:10,415 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 07:08:15,120 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:08:15,154 The Predictions of Net 2 -2023-07-30 07:08:15,155 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:08:15,155 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:08:15,155 | 256x192_pose_dual_101_d256d256d256 | 0.7622 | 0.9352 | 0.8447 | 0.7362 | 0.8049 | 0.7922 | 0.9441 | 0.8605 | 0.7599 | 0.8413 | -2023-07-30 07:08:15,843 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 07:08:20,616 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:08:20,650 Ensemble Predictions -2023-07-30 07:08:20,650 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:08:20,651 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:08:20,651 | 256x192_pose_dual_101_d256d256d256 | 0.7682 | 0.9357 | 0.8468 | 0.7438 | 0.8103 | 0.7969 | 0.9466 | 0.8643 | 0.7646 | 0.8462 | -2023-07-30 07:08:20,652 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 07:08:29,031 Epoch: [364][0/631] Time 5.438s (5.438s) Speed 5.9 samples/s Data 3.743s (3.743s) Loss 0.000472 (0.000472) Accuracy 0.914 (0.914) loss_pose: 0.000156 loss_cons: 0.000316 -2023-07-30 07:11:09,792 Epoch: [364][100/631] Time 1.520s (1.646s) Speed 21.1 samples/s Data 0.001s (0.037s) Loss 0.000558 (0.000507) Accuracy 0.952 (0.913) loss_pose: 0.000132 loss_cons: 0.000426 -2023-07-30 07:13:46,732 Epoch: [364][200/631] Time 1.595s (1.608s) Speed 20.1 samples/s Data 0.000s (0.019s) Loss 0.000526 (0.000511) Accuracy 0.930 (0.913) loss_pose: 0.000166 loss_cons: 0.000360 -2023-07-30 07:16:25,989 Epoch: [364][300/631] Time 1.512s (1.603s) Speed 21.2 samples/s Data 0.000s (0.013s) Loss 0.000558 (0.000512) Accuracy 0.861 (0.913) loss_pose: 0.000216 loss_cons: 0.000342 -2023-07-30 07:19:06,096 Epoch: [364][400/631] Time 1.593s (1.602s) Speed 20.1 samples/s Data 0.000s (0.010s) Loss 0.000509 (0.000514) Accuracy 0.942 (0.912) loss_pose: 0.000173 loss_cons: 0.000337 -2023-07-30 07:21:41,886 Epoch: [364][500/631] Time 1.529s (1.593s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000567 (0.000515) Accuracy 0.906 (0.912) loss_pose: 0.000203 loss_cons: 0.000364 -2023-07-30 07:24:15,237 Epoch: [364][600/631] Time 1.508s (1.583s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000606 (0.000515) Accuracy 0.919 (0.912) loss_pose: 0.000170 loss_cons: 0.000437 -2023-07-30 07:25:00,516 Epoch: [364][630/631] Time 1.505s (1.580s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000430 (0.000515) Accuracy 0.887 (0.912) loss_pose: 0.000167 loss_cons: 0.000263 -2023-07-30 07:25:08,427 Test: [0/199] Time 5.815 (5.815) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 07:25:28,141 Test: [100/199] Time 0.197 (0.253) Loss 0.0002 (0.0002) Accuracy 0.936 (0.887) -2023-07-30 07:25:46,713 Test: [198/199] Time 0.135 (0.222) Loss 0.0002 (0.0002) Accuracy 0.920 (0.884) -2023-07-30 07:25:48,210 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 07:25:58,329 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:25:58,370 The Predictions of Net 1 -2023-07-30 07:25:58,371 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:25:58,372 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:25:58,373 | 256x192_pose_dual_101_d256d256d256 | 0.7611 | 0.9351 | 0.8360 | 0.7367 | 0.7995 | 0.7901 | 0.9430 | 0.8585 | 0.7593 | 0.8374 | -2023-07-30 07:25:59,101 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 07:26:03,949 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:26:03,986 The Predictions of Net 2 -2023-07-30 07:26:03,987 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:26:03,987 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:26:03,987 | 256x192_pose_dual_101_d256d256d256 | 0.7622 | 0.9353 | 0.8447 | 0.7367 | 0.8055 | 0.7918 | 0.9438 | 0.8604 | 0.7596 | 0.8409 | -2023-07-30 07:26:04,686 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 07:26:09,545 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:26:09,583 Ensemble Predictions -2023-07-30 07:26:09,584 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:26:09,585 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:26:09,585 | 256x192_pose_dual_101_d256d256d256 | 0.7690 | 0.9358 | 0.8466 | 0.7439 | 0.8102 | 0.7974 | 0.9473 | 0.8641 | 0.7657 | 0.8461 | -2023-07-30 07:26:09,586 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 07:26:19,669 Epoch: [365][0/631] Time 6.135s (6.135s) Speed 5.2 samples/s Data 4.423s (4.423s) Loss 0.000488 (0.000488) Accuracy 0.910 (0.910) loss_pose: 0.000166 loss_cons: 0.000322 -2023-07-30 07:28:55,269 Epoch: [365][100/631] Time 1.596s (1.601s) Speed 20.0 samples/s Data 0.000s (0.044s) Loss 0.000552 (0.000518) Accuracy 0.902 (0.911) loss_pose: 0.000187 loss_cons: 0.000365 -2023-07-30 07:31:29,674 Epoch: [365][200/631] Time 1.615s (1.573s) Speed 19.8 samples/s Data 0.000s (0.022s) Loss 0.000539 (0.000515) Accuracy 0.887 (0.914) loss_pose: 0.000199 loss_cons: 0.000341 -2023-07-30 07:34:03,927 Epoch: [365][300/631] Time 1.526s (1.563s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000512 (0.000517) Accuracy 0.937 (0.913) loss_pose: 0.000173 loss_cons: 0.000338 -2023-07-30 07:36:40,212 Epoch: [365][400/631] Time 1.615s (1.563s) Speed 19.8 samples/s Data 0.000s (0.011s) Loss 0.000470 (0.000518) Accuracy 0.928 (0.913) loss_pose: 0.000171 loss_cons: 0.000300 -2023-07-30 07:39:15,441 Epoch: [365][500/631] Time 1.616s (1.561s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000422 (0.000517) Accuracy 0.967 (0.913) loss_pose: 0.000140 loss_cons: 0.000281 -2023-07-30 07:41:49,412 Epoch: [365][600/631] Time 1.504s (1.557s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000532 (0.000518) Accuracy 0.911 (0.913) loss_pose: 0.000176 loss_cons: 0.000356 -2023-07-30 07:42:35,725 Epoch: [365][630/631] Time 1.521s (1.557s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000485 (0.000519) Accuracy 0.915 (0.912) loss_pose: 0.000178 loss_cons: 0.000307 -2023-07-30 07:42:44,326 Test: [0/199] Time 6.349 (6.349) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 07:43:04,236 Test: [100/199] Time 0.208 (0.260) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-30 07:43:23,337 Test: [198/199] Time 0.195 (0.228) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 07:43:24,500 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 07:43:35,827 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:43:35,865 The Predictions of Net 1 -2023-07-30 07:43:35,866 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:43:35,867 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:43:35,867 | 256x192_pose_dual_101_d256d256d256 | 0.7595 | 0.9353 | 0.8358 | 0.7371 | 0.7995 | 0.7899 | 0.9440 | 0.8580 | 0.7594 | 0.8368 | -2023-07-30 07:43:36,554 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 07:43:41,254 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:43:41,288 The Predictions of Net 2 -2023-07-30 07:43:41,289 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:43:41,289 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:43:41,289 | 256x192_pose_dual_101_d256d256d256 | 0.7625 | 0.9353 | 0.8360 | 0.7367 | 0.8037 | 0.7918 | 0.9440 | 0.8599 | 0.7596 | 0.8407 | -2023-07-30 07:43:41,973 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 07:43:46,772 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 07:43:46,807 Ensemble Predictions -2023-07-30 07:43:46,807 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 07:43:46,808 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 07:43:46,808 | 256x192_pose_dual_101_d256d256d256 | 0.7683 | 0.9359 | 0.8465 | 0.7441 | 0.8103 | 0.7972 | 0.9466 | 0.8641 | 0.7653 | 0.8460 | -2023-07-30 07:43:46,809 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 07:43:55,014 Epoch: [366][0/631] Time 5.291s (5.291s) Speed 6.0 samples/s Data 3.507s (3.507s) Loss 0.000492 (0.000492) Accuracy 0.926 (0.926) loss_pose: 0.000174 loss_cons: 0.000318 -2023-07-30 07:46:30,712 Epoch: [366][100/631] Time 1.642s (1.594s) Speed 19.5 samples/s Data 0.000s (0.035s) Loss 0.000452 (0.000507) Accuracy 0.876 (0.914) loss_pose: 0.000202 loss_cons: 0.000250 -2023-07-30 07:49:05,969 Epoch: [366][200/631] Time 1.526s (1.573s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000468 (0.000515) Accuracy 0.924 (0.914) loss_pose: 0.000168 loss_cons: 0.000301 -2023-07-30 07:51:40,946 Epoch: [366][300/631] Time 1.532s (1.566s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000540 (0.000518) Accuracy 0.912 (0.913) loss_pose: 0.000169 loss_cons: 0.000371 -2023-07-30 07:54:15,416 Epoch: [366][400/631] Time 1.528s (1.560s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000464 (0.000517) Accuracy 0.925 (0.913) loss_pose: 0.000159 loss_cons: 0.000305 -2023-07-30 07:56:49,914 Epoch: [366][500/631] Time 1.560s (1.557s) Speed 20.5 samples/s Data 0.000s (0.007s) Loss 0.000532 (0.000518) Accuracy 0.861 (0.913) loss_pose: 0.000234 loss_cons: 0.000298 -2023-07-30 07:59:25,269 Epoch: [366][600/631] Time 1.588s (1.557s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000567 (0.000518) Accuracy 0.909 (0.912) loss_pose: 0.000162 loss_cons: 0.000406 -2023-07-30 08:00:11,333 Epoch: [366][630/631] Time 1.512s (1.556s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000533 (0.000518) Accuracy 0.941 (0.913) loss_pose: 0.000176 loss_cons: 0.000357 -2023-07-30 08:00:19,982 Test: [0/199] Time 6.192 (6.192) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 08:00:39,953 Test: [100/199] Time 0.196 (0.259) Loss 0.0002 (0.0002) Accuracy 0.931 (0.886) -2023-07-30 08:00:58,875 Test: [198/199] Time 0.226 (0.227) Loss 0.0002 (0.0002) Accuracy 0.929 (0.883) -2023-07-30 08:01:00,163 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 08:01:09,293 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:01:09,339 The Predictions of Net 1 -2023-07-30 08:01:09,340 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:01:09,341 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:01:09,341 | 256x192_pose_dual_101_d256d256d256 | 0.7585 | 0.9353 | 0.8359 | 0.7367 | 0.8004 | 0.7897 | 0.9443 | 0.8577 | 0.7587 | 0.8371 | -2023-07-30 08:01:10,054 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 08:01:17,098 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:01:17,135 The Predictions of Net 2 -2023-07-30 08:01:17,136 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:01:17,136 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:01:17,137 | 256x192_pose_dual_101_d256d256d256 | 0.7630 | 0.9353 | 0.8453 | 0.7361 | 0.8036 | 0.7917 | 0.9440 | 0.8604 | 0.7601 | 0.8402 | -2023-07-30 08:01:17,824 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 08:01:22,594 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:01:22,626 Ensemble Predictions -2023-07-30 08:01:22,627 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:01:22,628 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:01:22,628 | 256x192_pose_dual_101_d256d256d256 | 0.7684 | 0.9359 | 0.8469 | 0.7449 | 0.8107 | 0.7976 | 0.9474 | 0.8646 | 0.7660 | 0.8458 | -2023-07-30 08:01:22,629 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 08:01:31,520 Epoch: [367][0/631] Time 5.864s (5.864s) Speed 5.5 samples/s Data 4.158s (4.158s) Loss 0.000419 (0.000419) Accuracy 0.934 (0.934) loss_pose: 0.000159 loss_cons: 0.000260 -2023-07-30 08:04:06,289 Epoch: [367][100/631] Time 1.514s (1.590s) Speed 21.1 samples/s Data 0.000s (0.042s) Loss 0.000489 (0.000515) Accuracy 0.891 (0.908) loss_pose: 0.000184 loss_cons: 0.000305 -2023-07-30 08:06:42,575 Epoch: [367][200/631] Time 1.604s (1.577s) Speed 20.0 samples/s Data 0.000s (0.021s) Loss 0.000506 (0.000519) Accuracy 0.926 (0.910) loss_pose: 0.000181 loss_cons: 0.000324 -2023-07-30 08:09:17,416 Epoch: [367][300/631] Time 1.630s (1.567s) Speed 19.6 samples/s Data 0.001s (0.014s) Loss 0.000571 (0.000518) Accuracy 0.890 (0.910) loss_pose: 0.000157 loss_cons: 0.000414 -2023-07-30 08:11:51,520 Epoch: [367][400/631] Time 1.526s (1.561s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000508 (0.000518) Accuracy 0.907 (0.910) loss_pose: 0.000171 loss_cons: 0.000337 -2023-07-30 08:14:26,163 Epoch: [367][500/631] Time 1.603s (1.558s) Speed 20.0 samples/s Data 0.000s (0.009s) Loss 0.000504 (0.000519) Accuracy 0.911 (0.910) loss_pose: 0.000197 loss_cons: 0.000307 -2023-07-30 08:17:00,606 Epoch: [367][600/631] Time 1.510s (1.556s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000509 (0.000518) Accuracy 0.935 (0.911) loss_pose: 0.000152 loss_cons: 0.000357 -2023-07-30 08:17:45,986 Epoch: [367][630/631] Time 1.531s (1.554s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000480 (0.000517) Accuracy 0.921 (0.911) loss_pose: 0.000160 loss_cons: 0.000320 -2023-07-30 08:17:53,612 Test: [0/199] Time 5.436 (5.436) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 08:18:13,850 Test: [100/199] Time 0.219 (0.255) Loss 0.0002 (0.0002) Accuracy 0.941 (0.886) -2023-07-30 08:18:32,710 Test: [198/199] Time 0.196 (0.224) Loss 0.0002 (0.0002) Accuracy 0.917 (0.884) -2023-07-30 08:18:34,301 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 08:18:44,164 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:18:44,199 The Predictions of Net 1 -2023-07-30 08:18:44,200 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:18:44,200 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:18:44,200 | 256x192_pose_dual_101_d256d256d256 | 0.7593 | 0.9353 | 0.8359 | 0.7360 | 0.8005 | 0.7902 | 0.9441 | 0.8589 | 0.7593 | 0.8375 | -2023-07-30 08:18:44,889 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 08:18:49,675 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:18:49,720 The Predictions of Net 2 -2023-07-30 08:18:49,720 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:18:49,721 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:18:49,721 | 256x192_pose_dual_101_d256d256d256 | 0.7615 | 0.9353 | 0.8359 | 0.7358 | 0.8044 | 0.7916 | 0.9441 | 0.8596 | 0.7592 | 0.8410 | -2023-07-30 08:18:50,408 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 08:18:57,275 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:18:57,310 Ensemble Predictions -2023-07-30 08:18:57,311 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:18:57,311 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:18:57,311 | 256x192_pose_dual_101_d256d256d256 | 0.7673 | 0.9358 | 0.8467 | 0.7440 | 0.8094 | 0.7968 | 0.9469 | 0.8637 | 0.7652 | 0.8450 | -2023-07-30 08:18:57,312 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 08:19:05,530 Epoch: [368][0/631] Time 5.221s (5.221s) Speed 6.1 samples/s Data 3.482s (3.482s) Loss 0.000438 (0.000438) Accuracy 0.882 (0.882) loss_pose: 0.000196 loss_cons: 0.000242 -2023-07-30 08:21:42,461 Epoch: [368][100/631] Time 1.566s (1.605s) Speed 20.4 samples/s Data 0.000s (0.035s) Loss 0.000523 (0.000513) Accuracy 0.927 (0.913) loss_pose: 0.000177 loss_cons: 0.000346 -2023-07-30 08:24:19,391 Epoch: [368][200/631] Time 1.605s (1.587s) Speed 19.9 samples/s Data 0.000s (0.018s) Loss 0.000479 (0.000517) Accuracy 0.923 (0.911) loss_pose: 0.000158 loss_cons: 0.000321 -2023-07-30 08:26:54,733 Epoch: [368][300/631] Time 1.518s (1.576s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000510 (0.000517) Accuracy 0.944 (0.910) loss_pose: 0.000162 loss_cons: 0.000348 -2023-07-30 08:29:31,150 Epoch: [368][400/631] Time 1.672s (1.573s) Speed 19.1 samples/s Data 0.001s (0.009s) Loss 0.000468 (0.000515) Accuracy 0.941 (0.911) loss_pose: 0.000149 loss_cons: 0.000319 -2023-07-30 08:32:06,381 Epoch: [368][500/631] Time 1.617s (1.569s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000483 (0.000515) Accuracy 0.927 (0.912) loss_pose: 0.000154 loss_cons: 0.000329 -2023-07-30 08:34:42,108 Epoch: [368][600/631] Time 1.581s (1.567s) Speed 20.2 samples/s Data 0.000s (0.006s) Loss 0.000481 (0.000516) Accuracy 0.944 (0.912) loss_pose: 0.000151 loss_cons: 0.000330 -2023-07-30 08:35:30,329 Epoch: [368][630/631] Time 1.603s (1.569s) Speed 20.0 samples/s Data 0.000s (0.006s) Loss 0.000471 (0.000516) Accuracy 0.855 (0.912) loss_pose: 0.000187 loss_cons: 0.000285 -2023-07-30 08:35:39,375 Test: [0/199] Time 6.464 (6.464) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 08:35:58,959 Test: [100/199] Time 0.199 (0.258) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-30 08:36:17,507 Test: [198/199] Time 0.135 (0.224) Loss 0.0002 (0.0002) Accuracy 0.930 (0.884) -2023-07-30 08:36:19,259 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 08:36:29,205 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:36:29,249 The Predictions of Net 1 -2023-07-30 08:36:29,250 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:36:29,250 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:36:29,250 | 256x192_pose_dual_101_d256d256d256 | 0.7612 | 0.9354 | 0.8364 | 0.7356 | 0.8013 | 0.7901 | 0.9435 | 0.8583 | 0.7590 | 0.8380 | -2023-07-30 08:36:29,957 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 08:36:34,938 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:36:34,985 The Predictions of Net 2 -2023-07-30 08:36:34,987 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:36:34,987 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:36:34,987 | 256x192_pose_dual_101_d256d256d256 | 0.7623 | 0.9353 | 0.8446 | 0.7358 | 0.8042 | 0.7918 | 0.9443 | 0.8607 | 0.7598 | 0.8407 | -2023-07-30 08:36:35,682 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 08:36:40,515 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:36:40,561 Ensemble Predictions -2023-07-30 08:36:40,561 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:36:40,562 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:36:40,562 | 256x192_pose_dual_101_d256d256d256 | 0.7683 | 0.9357 | 0.8470 | 0.7439 | 0.8109 | 0.7975 | 0.9460 | 0.8649 | 0.7655 | 0.8465 | -2023-07-30 08:36:40,563 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 08:36:49,946 Epoch: [369][0/631] Time 5.385s (5.385s) Speed 5.9 samples/s Data 3.658s (3.658s) Loss 0.000518 (0.000518) Accuracy 0.887 (0.887) loss_pose: 0.000223 loss_cons: 0.000295 -2023-07-30 08:39:26,619 Epoch: [369][100/631] Time 1.524s (1.605s) Speed 21.0 samples/s Data 0.000s (0.037s) Loss 0.000492 (0.000512) Accuracy 0.909 (0.910) loss_pose: 0.000173 loss_cons: 0.000319 -2023-07-30 08:42:01,491 Epoch: [369][200/631] Time 1.580s (1.577s) Speed 20.3 samples/s Data 0.000s (0.019s) Loss 0.000491 (0.000509) Accuracy 0.903 (0.911) loss_pose: 0.000146 loss_cons: 0.000345 -2023-07-30 08:44:36,296 Epoch: [369][300/631] Time 1.601s (1.567s) Speed 20.0 samples/s Data 0.000s (0.013s) Loss 0.000665 (0.000512) Accuracy 0.888 (0.912) loss_pose: 0.000205 loss_cons: 0.000460 -2023-07-30 08:47:12,517 Epoch: [369][400/631] Time 1.555s (1.566s) Speed 20.6 samples/s Data 0.000s (0.010s) Loss 0.000599 (0.000513) Accuracy 0.936 (0.913) loss_pose: 0.000169 loss_cons: 0.000430 -2023-07-30 08:49:48,576 Epoch: [369][500/631] Time 1.524s (1.565s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000521 (0.000515) Accuracy 0.927 (0.913) loss_pose: 0.000182 loss_cons: 0.000340 -2023-07-30 08:52:23,389 Epoch: [369][600/631] Time 1.514s (1.562s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000558 (0.000516) Accuracy 0.891 (0.913) loss_pose: 0.000197 loss_cons: 0.000361 -2023-07-30 08:53:08,724 Epoch: [369][630/631] Time 1.513s (1.560s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000484 (0.000516) Accuracy 0.906 (0.913) loss_pose: 0.000175 loss_cons: 0.000309 -2023-07-30 08:53:16,358 Test: [0/199] Time 5.065 (5.065) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 08:53:36,867 Test: [100/199] Time 0.203 (0.255) Loss 0.0002 (0.0002) Accuracy 0.941 (0.886) -2023-07-30 08:53:55,407 Test: [198/199] Time 0.136 (0.223) Loss 0.0002 (0.0002) Accuracy 0.926 (0.883) -2023-07-30 08:53:57,408 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 08:54:08,609 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:54:08,646 The Predictions of Net 1 -2023-07-30 08:54:08,648 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:54:08,648 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:54:08,648 | 256x192_pose_dual_101_d256d256d256 | 0.7591 | 0.9354 | 0.8357 | 0.7365 | 0.8002 | 0.7897 | 0.9436 | 0.8578 | 0.7585 | 0.8376 | -2023-07-30 08:54:09,337 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 08:54:14,094 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:54:14,128 The Predictions of Net 2 -2023-07-30 08:54:14,128 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:54:14,128 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:54:14,129 | 256x192_pose_dual_101_d256d256d256 | 0.7629 | 0.9353 | 0.8451 | 0.7360 | 0.8052 | 0.7918 | 0.9433 | 0.8607 | 0.7595 | 0.8411 | -2023-07-30 08:54:14,821 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 08:54:19,555 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 08:54:19,592 Ensemble Predictions -2023-07-30 08:54:19,593 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 08:54:19,593 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 08:54:19,594 | 256x192_pose_dual_101_d256d256d256 | 0.7685 | 0.9357 | 0.8468 | 0.7450 | 0.8107 | 0.7973 | 0.9458 | 0.8640 | 0.7654 | 0.8461 | -2023-07-30 08:54:19,594 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 08:54:27,585 Epoch: [370][0/631] Time 5.035s (5.035s) Speed 6.4 samples/s Data 3.287s (3.287s) Loss 0.000424 (0.000424) Accuracy 0.921 (0.921) loss_pose: 0.000157 loss_cons: 0.000267 -2023-07-30 08:57:03,405 Epoch: [370][100/631] Time 1.545s (1.593s) Speed 20.7 samples/s Data 0.000s (0.033s) Loss 0.000600 (0.000517) Accuracy 0.885 (0.913) loss_pose: 0.000247 loss_cons: 0.000352 -2023-07-30 08:59:38,371 Epoch: [370][200/631] Time 1.535s (1.571s) Speed 20.8 samples/s Data 0.000s (0.017s) Loss 0.000582 (0.000521) Accuracy 0.906 (0.911) loss_pose: 0.000210 loss_cons: 0.000371 -2023-07-30 09:02:13,561 Epoch: [370][300/631] Time 1.585s (1.565s) Speed 20.2 samples/s Data 0.000s (0.011s) Loss 0.000496 (0.000521) Accuracy 0.916 (0.911) loss_pose: 0.000174 loss_cons: 0.000323 -2023-07-30 09:04:48,469 Epoch: [370][400/631] Time 1.523s (1.561s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000515 (0.000518) Accuracy 0.913 (0.911) loss_pose: 0.000194 loss_cons: 0.000320 -2023-07-30 09:07:23,661 Epoch: [370][500/631] Time 1.521s (1.559s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000584 (0.000517) Accuracy 0.896 (0.911) loss_pose: 0.000206 loss_cons: 0.000378 -2023-07-30 09:09:58,663 Epoch: [370][600/631] Time 1.508s (1.558s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000606 (0.000519) Accuracy 0.938 (0.911) loss_pose: 0.000182 loss_cons: 0.000424 -2023-07-30 09:10:44,039 Epoch: [370][630/631] Time 1.516s (1.555s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000563 (0.000519) Accuracy 0.894 (0.910) loss_pose: 0.000182 loss_cons: 0.000381 -2023-07-30 09:10:51,678 Test: [0/199] Time 5.171 (5.171) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 09:11:11,606 Test: [100/199] Time 0.196 (0.250) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-30 09:11:30,111 Test: [198/199] Time 0.133 (0.220) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 09:11:31,071 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 09:11:41,720 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:11:41,765 The Predictions of Net 1 -2023-07-30 09:11:41,767 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:11:41,768 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:11:41,768 | 256x192_pose_dual_101_d256d256d256 | 0.7593 | 0.9353 | 0.8355 | 0.7350 | 0.8002 | 0.7898 | 0.9435 | 0.8567 | 0.7588 | 0.8374 | -2023-07-30 09:11:42,464 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 09:11:49,323 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:11:49,357 The Predictions of Net 2 -2023-07-30 09:11:49,358 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:11:49,359 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:11:49,359 | 256x192_pose_dual_101_d256d256d256 | 0.7620 | 0.9354 | 0.8363 | 0.7360 | 0.8045 | 0.7914 | 0.9440 | 0.8583 | 0.7593 | 0.8402 | -2023-07-30 09:11:50,046 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 09:11:54,799 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:11:54,831 Ensemble Predictions -2023-07-30 09:11:54,831 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:11:54,832 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:11:54,832 | 256x192_pose_dual_101_d256d256d256 | 0.7681 | 0.9356 | 0.8464 | 0.7439 | 0.8106 | 0.7971 | 0.9462 | 0.8634 | 0.7648 | 0.8464 | -2023-07-30 09:11:54,833 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 09:12:03,648 Epoch: [371][0/631] Time 5.862s (5.862s) Speed 5.5 samples/s Data 4.146s (4.146s) Loss 0.000468 (0.000468) Accuracy 0.953 (0.953) loss_pose: 0.000156 loss_cons: 0.000312 -2023-07-30 09:14:37,353 Epoch: [371][100/631] Time 1.622s (1.580s) Speed 19.7 samples/s Data 0.000s (0.041s) Loss 0.000462 (0.000510) Accuracy 0.926 (0.911) loss_pose: 0.000176 loss_cons: 0.000286 -2023-07-30 09:17:12,667 Epoch: [371][200/631] Time 1.627s (1.567s) Speed 19.7 samples/s Data 0.000s (0.021s) Loss 0.000469 (0.000516) Accuracy 0.901 (0.912) loss_pose: 0.000162 loss_cons: 0.000307 -2023-07-30 09:19:45,726 Epoch: [371][300/631] Time 1.513s (1.555s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000576 (0.000517) Accuracy 0.923 (0.911) loss_pose: 0.000175 loss_cons: 0.000402 -2023-07-30 09:22:19,214 Epoch: [371][400/631] Time 1.526s (1.550s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000490 (0.000517) Accuracy 0.914 (0.911) loss_pose: 0.000157 loss_cons: 0.000333 -2023-07-30 09:24:53,004 Epoch: [371][500/631] Time 1.524s (1.547s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000472 (0.000516) Accuracy 0.921 (0.911) loss_pose: 0.000161 loss_cons: 0.000311 -2023-07-30 09:27:26,846 Epoch: [371][600/631] Time 1.506s (1.546s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000462 (0.000517) Accuracy 0.956 (0.911) loss_pose: 0.000138 loss_cons: 0.000324 -2023-07-30 09:28:12,248 Epoch: [371][630/631] Time 1.521s (1.544s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000575 (0.000517) Accuracy 0.943 (0.911) loss_pose: 0.000168 loss_cons: 0.000407 -2023-07-30 09:28:20,438 Test: [0/199] Time 6.270 (6.270) Loss 0.0002 (0.0002) Accuracy 0.917 (0.917) -2023-07-30 09:28:40,325 Test: [100/199] Time 0.203 (0.259) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-30 09:28:59,127 Test: [198/199] Time 0.265 (0.226) Loss 0.0002 (0.0002) Accuracy 0.930 (0.884) -2023-07-30 09:29:00,929 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 09:29:10,224 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:29:10,262 The Predictions of Net 1 -2023-07-30 09:29:10,264 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:29:10,264 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:29:10,264 | 256x192_pose_dual_101_d256d256d256 | 0.7585 | 0.9354 | 0.8358 | 0.7374 | 0.8011 | 0.7903 | 0.9446 | 0.8588 | 0.7596 | 0.8377 | -2023-07-30 09:29:10,959 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 09:29:15,701 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:29:15,734 The Predictions of Net 2 -2023-07-30 09:29:15,735 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:29:15,735 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:29:15,735 | 256x192_pose_dual_101_d256d256d256 | 0.7616 | 0.9355 | 0.8358 | 0.7358 | 0.8034 | 0.7916 | 0.9449 | 0.8599 | 0.7594 | 0.8406 | -2023-07-30 09:29:16,424 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 09:29:23,332 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:29:23,367 Ensemble Predictions -2023-07-30 09:29:23,368 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:29:23,369 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:29:23,369 | 256x192_pose_dual_101_d256d256d256 | 0.7684 | 0.9359 | 0.8466 | 0.7449 | 0.8110 | 0.7976 | 0.9465 | 0.8646 | 0.7657 | 0.8465 | -2023-07-30 09:29:23,370 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 09:29:32,175 Epoch: [372][0/631] Time 5.812s (5.812s) Speed 5.5 samples/s Data 4.138s (4.138s) Loss 0.000443 (0.000443) Accuracy 0.959 (0.959) loss_pose: 0.000150 loss_cons: 0.000293 -2023-07-30 09:32:08,070 Epoch: [372][100/631] Time 1.602s (1.601s) Speed 20.0 samples/s Data 0.000s (0.041s) Loss 0.000525 (0.000515) Accuracy 0.914 (0.910) loss_pose: 0.000172 loss_cons: 0.000353 -2023-07-30 09:34:43,826 Epoch: [372][200/631] Time 1.514s (1.579s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000509 (0.000515) Accuracy 0.896 (0.913) loss_pose: 0.000179 loss_cons: 0.000330 -2023-07-30 09:37:19,222 Epoch: [372][300/631] Time 1.515s (1.571s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000655 (0.000516) Accuracy 0.917 (0.913) loss_pose: 0.000181 loss_cons: 0.000473 -2023-07-30 09:39:54,269 Epoch: [372][400/631] Time 1.615s (1.566s) Speed 19.8 samples/s Data 0.000s (0.011s) Loss 0.000481 (0.000514) Accuracy 0.937 (0.912) loss_pose: 0.000166 loss_cons: 0.000314 -2023-07-30 09:42:28,504 Epoch: [372][500/631] Time 1.528s (1.561s) Speed 20.9 samples/s Data 0.001s (0.009s) Loss 0.000492 (0.000514) Accuracy 0.921 (0.913) loss_pose: 0.000192 loss_cons: 0.000300 -2023-07-30 09:45:02,554 Epoch: [372][600/631] Time 1.505s (1.558s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000484 (0.000515) Accuracy 0.901 (0.913) loss_pose: 0.000175 loss_cons: 0.000309 -2023-07-30 09:45:48,022 Epoch: [372][630/631] Time 1.513s (1.556s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000528 (0.000516) Accuracy 0.909 (0.912) loss_pose: 0.000185 loss_cons: 0.000344 -2023-07-30 09:45:55,711 Test: [0/199] Time 5.436 (5.436) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 09:46:15,698 Test: [100/199] Time 0.196 (0.253) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 09:46:34,319 Test: [198/199] Time 0.136 (0.222) Loss 0.0002 (0.0002) Accuracy 0.922 (0.884) -2023-07-30 09:46:36,100 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 09:46:45,582 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:46:45,617 The Predictions of Net 1 -2023-07-30 09:46:45,618 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:46:45,619 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:46:45,619 | 256x192_pose_dual_101_d256d256d256 | 0.7606 | 0.9352 | 0.8361 | 0.7373 | 0.8011 | 0.7908 | 0.9438 | 0.8597 | 0.7602 | 0.8379 | -2023-07-30 09:46:46,314 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 09:46:51,095 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:46:51,132 The Predictions of Net 2 -2023-07-30 09:46:51,133 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:46:51,133 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:46:51,133 | 256x192_pose_dual_101_d256d256d256 | 0.7626 | 0.9352 | 0.8448 | 0.7359 | 0.8047 | 0.7914 | 0.9425 | 0.8602 | 0.7588 | 0.8410 | -2023-07-30 09:46:51,821 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 09:46:56,535 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 09:46:56,571 Ensemble Predictions -2023-07-30 09:46:56,572 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 09:46:56,572 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 09:46:56,573 | 256x192_pose_dual_101_d256d256d256 | 0.7696 | 0.9358 | 0.8469 | 0.7450 | 0.8110 | 0.7976 | 0.9465 | 0.8646 | 0.7654 | 0.8468 | -2023-07-30 09:46:56,573 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 09:47:04,618 Epoch: [373][0/631] Time 5.132s (5.132s) Speed 6.2 samples/s Data 3.395s (3.395s) Loss 0.000460 (0.000460) Accuracy 0.898 (0.898) loss_pose: 0.000173 loss_cons: 0.000288 -2023-07-30 09:49:40,444 Epoch: [373][100/631] Time 1.518s (1.594s) Speed 21.1 samples/s Data 0.000s (0.034s) Loss 0.000551 (0.000508) Accuracy 0.927 (0.913) loss_pose: 0.000186 loss_cons: 0.000366 -2023-07-30 09:52:19,596 Epoch: [373][200/631] Time 1.605s (1.593s) Speed 19.9 samples/s Data 0.000s (0.017s) Loss 0.000464 (0.000515) Accuracy 0.960 (0.913) loss_pose: 0.000141 loss_cons: 0.000323 -2023-07-30 09:54:56,340 Epoch: [373][300/631] Time 1.511s (1.584s) Speed 21.2 samples/s Data 0.000s (0.012s) Loss 0.000567 (0.000513) Accuracy 0.948 (0.913) loss_pose: 0.000153 loss_cons: 0.000414 -2023-07-30 09:57:35,756 Epoch: [373][400/631] Time 1.519s (1.587s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000553 (0.000515) Accuracy 0.869 (0.913) loss_pose: 0.000197 loss_cons: 0.000356 -2023-07-30 10:00:13,481 Epoch: [373][500/631] Time 1.518s (1.585s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000539 (0.000515) Accuracy 0.927 (0.913) loss_pose: 0.000176 loss_cons: 0.000364 -2023-07-30 10:02:45,816 Epoch: [373][600/631] Time 1.508s (1.575s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000528 (0.000514) Accuracy 0.936 (0.913) loss_pose: 0.000171 loss_cons: 0.000357 -2023-07-30 10:03:31,252 Epoch: [373][630/631] Time 1.522s (1.572s) Speed 21.0 samples/s Data 0.000s (0.006s) Loss 0.000541 (0.000514) Accuracy 0.929 (0.913) loss_pose: 0.000180 loss_cons: 0.000361 -2023-07-30 10:03:38,673 Test: [0/199] Time 5.068 (5.068) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-30 10:03:59,098 Test: [100/199] Time 0.209 (0.254) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-30 10:04:17,891 Test: [198/199] Time 0.143 (0.223) Loss 0.0002 (0.0002) Accuracy 0.910 (0.883) -2023-07-30 10:04:19,760 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 10:04:29,742 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:04:29,785 The Predictions of Net 1 -2023-07-30 10:04:29,786 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:04:29,786 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:04:29,787 | 256x192_pose_dual_101_d256d256d256 | 0.7604 | 0.9353 | 0.8360 | 0.7360 | 0.8006 | 0.7903 | 0.9433 | 0.8588 | 0.7593 | 0.8378 | -2023-07-30 10:04:30,478 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 10:04:35,270 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:04:35,305 The Predictions of Net 2 -2023-07-30 10:04:35,306 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:04:35,307 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:04:35,307 | 256x192_pose_dual_101_d256d256d256 | 0.7638 | 0.9354 | 0.8448 | 0.7365 | 0.8046 | 0.7915 | 0.9438 | 0.8600 | 0.7590 | 0.8410 | -2023-07-30 10:04:35,996 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 10:04:40,819 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:04:40,855 Ensemble Predictions -2023-07-30 10:04:40,856 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:04:40,856 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:04:40,857 | 256x192_pose_dual_101_d256d256d256 | 0.7679 | 0.9356 | 0.8463 | 0.7420 | 0.8088 | 0.7967 | 0.9452 | 0.8629 | 0.7647 | 0.8456 | -2023-07-30 10:04:40,858 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 10:04:50,844 Epoch: [374][0/631] Time 6.038s (6.038s) Speed 5.3 samples/s Data 4.324s (4.324s) Loss 0.000407 (0.000407) Accuracy 0.947 (0.947) loss_pose: 0.000133 loss_cons: 0.000274 -2023-07-30 10:07:24,732 Epoch: [374][100/631] Time 1.522s (1.583s) Speed 21.0 samples/s Data 0.000s (0.043s) Loss 0.000461 (0.000514) Accuracy 0.908 (0.908) loss_pose: 0.000182 loss_cons: 0.000280 -2023-07-30 10:09:59,536 Epoch: [374][200/631] Time 1.575s (1.566s) Speed 20.3 samples/s Data 0.000s (0.022s) Loss 0.000496 (0.000515) Accuracy 0.921 (0.910) loss_pose: 0.000166 loss_cons: 0.000330 -2023-07-30 10:12:34,534 Epoch: [374][300/631] Time 1.510s (1.561s) Speed 21.2 samples/s Data 0.000s (0.015s) Loss 0.000653 (0.000515) Accuracy 0.889 (0.910) loss_pose: 0.000203 loss_cons: 0.000450 -2023-07-30 10:15:11,782 Epoch: [374][400/631] Time 1.523s (1.564s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000515 (0.000514) Accuracy 0.926 (0.911) loss_pose: 0.000167 loss_cons: 0.000348 -2023-07-30 10:17:45,722 Epoch: [374][500/631] Time 1.523s (1.559s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000483 (0.000513) Accuracy 0.933 (0.912) loss_pose: 0.000191 loss_cons: 0.000292 -2023-07-30 10:20:20,320 Epoch: [374][600/631] Time 1.600s (1.557s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000548 (0.000515) Accuracy 0.885 (0.912) loss_pose: 0.000200 loss_cons: 0.000349 -2023-07-30 10:21:08,476 Epoch: [374][630/631] Time 1.613s (1.559s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000592 (0.000515) Accuracy 0.925 (0.912) loss_pose: 0.000153 loss_cons: 0.000439 -2023-07-30 10:21:16,490 Test: [0/199] Time 5.844 (5.844) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-30 10:21:36,532 Test: [100/199] Time 0.206 (0.257) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-30 10:21:55,242 Test: [198/199] Time 0.220 (0.224) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 10:21:56,963 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 10:22:08,578 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:22:08,615 The Predictions of Net 1 -2023-07-30 10:22:08,616 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:22:08,617 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:22:08,617 | 256x192_pose_dual_101_d256d256d256 | 0.7600 | 0.9354 | 0.8359 | 0.7375 | 0.7998 | 0.7902 | 0.9436 | 0.8588 | 0.7594 | 0.8375 | -2023-07-30 10:22:09,303 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 10:22:14,053 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:22:14,087 The Predictions of Net 2 -2023-07-30 10:22:14,088 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:22:14,089 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:22:14,089 | 256x192_pose_dual_101_d256d256d256 | 0.7638 | 0.9353 | 0.8448 | 0.7358 | 0.8050 | 0.7915 | 0.9436 | 0.8600 | 0.7590 | 0.8408 | -2023-07-30 10:22:14,780 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 10:22:19,584 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:22:19,620 Ensemble Predictions -2023-07-30 10:22:19,620 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:22:19,621 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:22:19,621 | 256x192_pose_dual_101_d256d256d256 | 0.7675 | 0.9359 | 0.8468 | 0.7449 | 0.8100 | 0.7971 | 0.9466 | 0.8638 | 0.7656 | 0.8455 | -2023-07-30 10:22:19,622 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 10:22:28,686 Epoch: [375][0/631] Time 6.079s (6.079s) Speed 5.3 samples/s Data 4.417s (4.417s) Loss 0.000416 (0.000416) Accuracy 0.906 (0.906) loss_pose: 0.000155 loss_cons: 0.000261 -2023-07-30 10:25:04,088 Epoch: [375][100/631] Time 1.612s (1.599s) Speed 19.9 samples/s Data 0.000s (0.044s) Loss 0.000485 (0.000511) Accuracy 0.873 (0.908) loss_pose: 0.000198 loss_cons: 0.000287 -2023-07-30 10:27:39,122 Epoch: [375][200/631] Time 1.519s (1.575s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000506 (0.000514) Accuracy 0.942 (0.908) loss_pose: 0.000177 loss_cons: 0.000329 -2023-07-30 10:30:13,069 Epoch: [375][300/631] Time 1.523s (1.563s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000566 (0.000513) Accuracy 0.931 (0.908) loss_pose: 0.000190 loss_cons: 0.000376 -2023-07-30 10:32:46,341 Epoch: [375][400/631] Time 1.521s (1.555s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000470 (0.000512) Accuracy 0.925 (0.909) loss_pose: 0.000181 loss_cons: 0.000290 -2023-07-30 10:35:21,206 Epoch: [375][500/631] Time 1.518s (1.554s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000429 (0.000512) Accuracy 0.894 (0.910) loss_pose: 0.000179 loss_cons: 0.000250 -2023-07-30 10:37:55,389 Epoch: [375][600/631] Time 1.504s (1.552s) Speed 21.3 samples/s Data 0.000s (0.008s) Loss 0.000626 (0.000513) Accuracy 0.858 (0.909) loss_pose: 0.000221 loss_cons: 0.000405 -2023-07-30 10:38:41,550 Epoch: [375][630/631] Time 1.507s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000510 (0.000514) Accuracy 0.933 (0.909) loss_pose: 0.000155 loss_cons: 0.000356 -2023-07-30 10:38:48,272 Test: [0/199] Time 4.486 (4.486) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 10:39:09,568 Test: [100/199] Time 0.198 (0.258) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-30 10:39:28,443 Test: [198/199] Time 0.234 (0.226) Loss 0.0002 (0.0002) Accuracy 0.914 (0.883) -2023-07-30 10:39:29,520 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 10:39:38,790 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:39:38,826 The Predictions of Net 1 -2023-07-30 10:39:38,826 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:39:38,827 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:39:38,828 | 256x192_pose_dual_101_d256d256d256 | 0.7601 | 0.9353 | 0.8358 | 0.7360 | 0.8008 | 0.7899 | 0.9436 | 0.8582 | 0.7591 | 0.8371 | -2023-07-30 10:39:39,521 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 10:39:46,567 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:39:46,603 The Predictions of Net 2 -2023-07-30 10:39:46,603 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:39:46,604 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:39:46,604 | 256x192_pose_dual_101_d256d256d256 | 0.7629 | 0.9355 | 0.8449 | 0.7368 | 0.8038 | 0.7920 | 0.9440 | 0.8605 | 0.7599 | 0.8409 | -2023-07-30 10:39:47,289 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 10:39:52,022 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:39:52,059 Ensemble Predictions -2023-07-30 10:39:52,060 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:39:52,060 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:39:52,061 | 256x192_pose_dual_101_d256d256d256 | 0.7674 | 0.9357 | 0.8470 | 0.7439 | 0.8086 | 0.7970 | 0.9460 | 0.8641 | 0.7651 | 0.8458 | -2023-07-30 10:39:52,061 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 10:40:00,673 Epoch: [376][0/631] Time 5.597s (5.597s) Speed 5.7 samples/s Data 3.904s (3.904s) Loss 0.000474 (0.000474) Accuracy 0.910 (0.910) loss_pose: 0.000192 loss_cons: 0.000282 -2023-07-30 10:42:34,936 Epoch: [376][100/631] Time 1.523s (1.583s) Speed 21.0 samples/s Data 0.000s (0.039s) Loss 0.000441 (0.000511) Accuracy 0.907 (0.912) loss_pose: 0.000165 loss_cons: 0.000276 -2023-07-30 10:45:09,518 Epoch: [376][200/631] Time 1.518s (1.564s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000551 (0.000515) Accuracy 0.903 (0.910) loss_pose: 0.000215 loss_cons: 0.000337 -2023-07-30 10:47:44,209 Epoch: [376][300/631] Time 1.526s (1.559s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000627 (0.000519) Accuracy 0.919 (0.911) loss_pose: 0.000184 loss_cons: 0.000443 -2023-07-30 10:50:17,887 Epoch: [376][400/631] Time 1.513s (1.553s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000527 (0.000518) Accuracy 0.899 (0.910) loss_pose: 0.000194 loss_cons: 0.000333 -2023-07-30 10:52:51,360 Epoch: [376][500/631] Time 1.529s (1.549s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000473 (0.000518) Accuracy 0.934 (0.910) loss_pose: 0.000166 loss_cons: 0.000307 -2023-07-30 10:55:25,477 Epoch: [376][600/631] Time 1.506s (1.548s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000545 (0.000518) Accuracy 0.904 (0.910) loss_pose: 0.000169 loss_cons: 0.000375 -2023-07-30 10:56:10,989 Epoch: [376][630/631] Time 1.537s (1.547s) Speed 20.8 samples/s Data 0.000s (0.007s) Loss 0.000471 (0.000518) Accuracy 0.939 (0.911) loss_pose: 0.000174 loss_cons: 0.000297 -2023-07-30 10:56:18,853 Test: [0/199] Time 6.013 (6.013) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 10:56:38,972 Test: [100/199] Time 0.203 (0.259) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-30 10:56:57,810 Test: [198/199] Time 0.145 (0.226) Loss 0.0002 (0.0002) Accuracy 0.912 (0.883) -2023-07-30 10:56:59,208 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 10:57:08,916 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:57:08,959 The Predictions of Net 1 -2023-07-30 10:57:08,960 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:57:08,960 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:57:08,960 | 256x192_pose_dual_101_d256d256d256 | 0.7593 | 0.9353 | 0.8361 | 0.7366 | 0.7996 | 0.7903 | 0.9444 | 0.8599 | 0.7598 | 0.8371 | -2023-07-30 10:57:09,646 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 10:57:14,438 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:57:14,471 The Predictions of Net 2 -2023-07-30 10:57:14,472 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:57:14,472 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:57:14,473 | 256x192_pose_dual_101_d256d256d256 | 0.7625 | 0.9352 | 0.8446 | 0.7361 | 0.8034 | 0.7915 | 0.9432 | 0.8600 | 0.7597 | 0.8401 | -2023-07-30 10:57:15,161 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 10:57:19,912 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 10:57:19,945 Ensemble Predictions -2023-07-30 10:57:19,946 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 10:57:19,947 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 10:57:19,947 | 256x192_pose_dual_101_d256d256d256 | 0.7691 | 0.9356 | 0.8470 | 0.7439 | 0.8094 | 0.7970 | 0.9455 | 0.8651 | 0.7653 | 0.8457 | -2023-07-30 10:57:19,947 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 10:57:28,785 Epoch: [377][0/631] Time 5.600s (5.600s) Speed 5.7 samples/s Data 3.880s (3.880s) Loss 0.000535 (0.000535) Accuracy 0.904 (0.904) loss_pose: 0.000172 loss_cons: 0.000363 -2023-07-30 11:00:05,334 Epoch: [377][100/631] Time 1.573s (1.605s) Speed 20.3 samples/s Data 0.000s (0.039s) Loss 0.000432 (0.000507) Accuracy 0.912 (0.908) loss_pose: 0.000182 loss_cons: 0.000250 -2023-07-30 11:02:39,382 Epoch: [377][200/631] Time 1.511s (1.573s) Speed 21.2 samples/s Data 0.000s (0.020s) Loss 0.000552 (0.000514) Accuracy 0.920 (0.910) loss_pose: 0.000181 loss_cons: 0.000371 -2023-07-30 11:05:13,844 Epoch: [377][300/631] Time 1.544s (1.564s) Speed 20.7 samples/s Data 0.000s (0.013s) Loss 0.000624 (0.000516) Accuracy 0.903 (0.909) loss_pose: 0.000186 loss_cons: 0.000438 -2023-07-30 11:07:49,204 Epoch: [377][400/631] Time 1.512s (1.561s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000520 (0.000518) Accuracy 0.916 (0.910) loss_pose: 0.000177 loss_cons: 0.000343 -2023-07-30 11:10:22,821 Epoch: [377][500/631] Time 1.540s (1.556s) Speed 20.8 samples/s Data 0.000s (0.008s) Loss 0.000570 (0.000517) Accuracy 0.894 (0.911) loss_pose: 0.000171 loss_cons: 0.000399 -2023-07-30 11:12:55,736 Epoch: [377][600/631] Time 1.509s (1.552s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000526 (0.000517) Accuracy 0.920 (0.911) loss_pose: 0.000167 loss_cons: 0.000360 -2023-07-30 11:13:41,076 Epoch: [377][630/631] Time 1.510s (1.550s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000582 (0.000518) Accuracy 0.918 (0.911) loss_pose: 0.000192 loss_cons: 0.000390 -2023-07-30 11:13:48,592 Test: [0/199] Time 5.425 (5.425) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 11:14:08,378 Test: [100/199] Time 0.196 (0.250) Loss 0.0002 (0.0002) Accuracy 0.941 (0.886) -2023-07-30 11:14:27,025 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.910 (0.883) -2023-07-30 11:14:28,384 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 11:14:37,789 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:14:37,837 The Predictions of Net 1 -2023-07-30 11:14:37,838 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:14:37,839 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:14:37,839 | 256x192_pose_dual_101_d256d256d256 | 0.7600 | 0.9354 | 0.8363 | 0.7356 | 0.7993 | 0.7898 | 0.9436 | 0.8589 | 0.7586 | 0.8379 | -2023-07-30 11:14:38,544 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 11:14:43,304 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:14:43,338 The Predictions of Net 2 -2023-07-30 11:14:43,339 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:14:43,340 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:14:43,340 | 256x192_pose_dual_101_d256d256d256 | 0.7630 | 0.9353 | 0.8360 | 0.7360 | 0.8047 | 0.7916 | 0.9438 | 0.8589 | 0.7594 | 0.8408 | -2023-07-30 11:14:44,023 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 11:14:48,793 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:14:48,837 Ensemble Predictions -2023-07-30 11:14:48,837 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:14:48,838 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:14:48,838 | 256x192_pose_dual_101_d256d256d256 | 0.7675 | 0.9358 | 0.8475 | 0.7439 | 0.8085 | 0.7969 | 0.9466 | 0.8651 | 0.7652 | 0.8454 | -2023-07-30 11:14:48,839 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 11:14:57,516 Epoch: [378][0/631] Time 5.721s (5.721s) Speed 5.6 samples/s Data 4.029s (4.029s) Loss 0.000502 (0.000502) Accuracy 0.946 (0.946) loss_pose: 0.000159 loss_cons: 0.000343 -2023-07-30 11:17:33,838 Epoch: [378][100/631] Time 1.528s (1.604s) Speed 20.9 samples/s Data 0.000s (0.040s) Loss 0.000477 (0.000509) Accuracy 0.920 (0.911) loss_pose: 0.000176 loss_cons: 0.000301 -2023-07-30 11:20:07,442 Epoch: [378][200/631] Time 1.518s (1.570s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000498 (0.000511) Accuracy 0.908 (0.911) loss_pose: 0.000180 loss_cons: 0.000318 -2023-07-30 11:22:41,752 Epoch: [378][300/631] Time 1.512s (1.561s) Speed 21.2 samples/s Data 0.000s (0.014s) Loss 0.000498 (0.000512) Accuracy 0.925 (0.912) loss_pose: 0.000162 loss_cons: 0.000336 -2023-07-30 11:25:14,611 Epoch: [378][400/631] Time 1.604s (1.553s) Speed 20.0 samples/s Data 0.000s (0.010s) Loss 0.000527 (0.000514) Accuracy 0.907 (0.912) loss_pose: 0.000174 loss_cons: 0.000353 -2023-07-30 11:27:49,849 Epoch: [378][500/631] Time 1.518s (1.553s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000505 (0.000513) Accuracy 0.896 (0.912) loss_pose: 0.000192 loss_cons: 0.000313 -2023-07-30 11:30:24,328 Epoch: [378][600/631] Time 1.614s (1.552s) Speed 19.8 samples/s Data 0.000s (0.007s) Loss 0.000583 (0.000515) Accuracy 0.861 (0.912) loss_pose: 0.000209 loss_cons: 0.000374 -2023-07-30 11:31:12,458 Epoch: [378][630/631] Time 1.600s (1.554s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000639 (0.000515) Accuracy 0.900 (0.912) loss_pose: 0.000195 loss_cons: 0.000444 -2023-07-30 11:31:19,094 Test: [0/199] Time 4.480 (4.480) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 11:31:40,472 Test: [100/199] Time 0.205 (0.257) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 11:31:59,472 Test: [198/199] Time 0.182 (0.226) Loss 0.0002 (0.0002) Accuracy 0.910 (0.884) -2023-07-30 11:32:00,946 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 11:32:12,499 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:32:12,537 The Predictions of Net 1 -2023-07-30 11:32:12,537 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:32:12,538 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:32:12,538 | 256x192_pose_dual_101_d256d256d256 | 0.7602 | 0.9353 | 0.8362 | 0.7367 | 0.8014 | 0.7904 | 0.9443 | 0.8596 | 0.7594 | 0.8378 | -2023-07-30 11:32:13,230 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 11:32:18,036 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:32:18,071 The Predictions of Net 2 -2023-07-30 11:32:18,072 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:32:18,073 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:32:18,073 | 256x192_pose_dual_101_d256d256d256 | 0.7607 | 0.9353 | 0.8358 | 0.7358 | 0.8052 | 0.7913 | 0.9438 | 0.8589 | 0.7587 | 0.8410 | -2023-07-30 11:32:18,759 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 11:32:23,565 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:32:23,601 Ensemble Predictions -2023-07-30 11:32:23,602 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:32:23,602 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:32:23,602 | 256x192_pose_dual_101_d256d256d256 | 0.7682 | 0.9359 | 0.8469 | 0.7439 | 0.8105 | 0.7972 | 0.9471 | 0.8638 | 0.7651 | 0.8462 | -2023-07-30 11:32:23,603 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 11:32:33,033 Epoch: [379][0/631] Time 6.444s (6.444s) Speed 5.0 samples/s Data 4.721s (4.721s) Loss 0.000467 (0.000467) Accuracy 0.907 (0.907) loss_pose: 0.000177 loss_cons: 0.000291 -2023-07-30 11:35:09,030 Epoch: [379][100/631] Time 1.524s (1.608s) Speed 21.0 samples/s Data 0.000s (0.047s) Loss 0.000451 (0.000506) Accuracy 0.892 (0.912) loss_pose: 0.000188 loss_cons: 0.000263 -2023-07-30 11:37:43,845 Epoch: [379][200/631] Time 1.573s (1.578s) Speed 20.3 samples/s Data 0.000s (0.024s) Loss 0.000479 (0.000515) Accuracy 0.910 (0.910) loss_pose: 0.000181 loss_cons: 0.000298 -2023-07-30 11:40:19,568 Epoch: [379][300/631] Time 1.513s (1.571s) Speed 21.1 samples/s Data 0.000s (0.016s) Loss 0.000588 (0.000516) Accuracy 0.880 (0.910) loss_pose: 0.000184 loss_cons: 0.000403 -2023-07-30 11:42:53,778 Epoch: [379][400/631] Time 1.612s (1.564s) Speed 19.9 samples/s Data 0.000s (0.012s) Loss 0.000535 (0.000514) Accuracy 0.915 (0.910) loss_pose: 0.000194 loss_cons: 0.000341 -2023-07-30 11:45:27,817 Epoch: [379][500/631] Time 1.520s (1.559s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000460 (0.000516) Accuracy 0.942 (0.910) loss_pose: 0.000181 loss_cons: 0.000279 -2023-07-30 11:48:02,552 Epoch: [379][600/631] Time 1.515s (1.557s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000497 (0.000516) Accuracy 0.936 (0.911) loss_pose: 0.000159 loss_cons: 0.000338 -2023-07-30 11:48:47,873 Epoch: [379][630/631] Time 1.514s (1.555s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000489 (0.000516) Accuracy 0.930 (0.910) loss_pose: 0.000137 loss_cons: 0.000351 -2023-07-30 11:48:55,644 Test: [0/199] Time 5.546 (5.546) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-30 11:49:15,662 Test: [100/199] Time 0.209 (0.253) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-30 11:49:34,422 Test: [198/199] Time 0.146 (0.223) Loss 0.0002 (0.0002) Accuracy 0.917 (0.883) -2023-07-30 11:49:35,849 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 11:49:45,243 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:49:45,278 The Predictions of Net 1 -2023-07-30 11:49:45,279 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:49:45,279 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:49:45,279 | 256x192_pose_dual_101_d256d256d256 | 0.7602 | 0.9354 | 0.8361 | 0.7366 | 0.7999 | 0.7900 | 0.9440 | 0.8597 | 0.7599 | 0.8364 | -2023-07-30 11:49:45,972 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 11:49:52,951 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:49:52,989 The Predictions of Net 2 -2023-07-30 11:49:52,990 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:49:52,990 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:49:52,991 | 256x192_pose_dual_101_d256d256d256 | 0.7619 | 0.9353 | 0.8363 | 0.7358 | 0.8054 | 0.7915 | 0.9436 | 0.8594 | 0.7596 | 0.8402 | -2023-07-30 11:49:53,681 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 11:49:58,381 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 11:49:58,416 Ensemble Predictions -2023-07-30 11:49:58,416 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 11:49:58,417 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 11:49:58,417 | 256x192_pose_dual_101_d256d256d256 | 0.7682 | 0.9358 | 0.8469 | 0.7448 | 0.8078 | 0.7970 | 0.9457 | 0.8640 | 0.7656 | 0.8453 | -2023-07-30 11:49:58,418 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 11:50:06,595 Epoch: [380][0/631] Time 5.281s (5.281s) Speed 6.1 samples/s Data 3.442s (3.442s) Loss 0.000425 (0.000425) Accuracy 0.929 (0.929) loss_pose: 0.000151 loss_cons: 0.000273 -2023-07-30 11:52:41,550 Epoch: [380][100/631] Time 1.520s (1.586s) Speed 21.0 samples/s Data 0.000s (0.034s) Loss 0.000450 (0.000515) Accuracy 0.925 (0.912) loss_pose: 0.000147 loss_cons: 0.000303 -2023-07-30 11:55:17,912 Epoch: [380][200/631] Time 1.583s (1.575s) Speed 20.2 samples/s Data 0.000s (0.017s) Loss 0.000518 (0.000517) Accuracy 0.940 (0.912) loss_pose: 0.000167 loss_cons: 0.000351 -2023-07-30 11:57:53,132 Epoch: [380][300/631] Time 1.619s (1.567s) Speed 19.8 samples/s Data 0.000s (0.012s) Loss 0.000600 (0.000518) Accuracy 0.918 (0.912) loss_pose: 0.000163 loss_cons: 0.000437 -2023-07-30 12:00:28,513 Epoch: [380][400/631] Time 1.530s (1.564s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000498 (0.000517) Accuracy 0.922 (0.912) loss_pose: 0.000186 loss_cons: 0.000312 -2023-07-30 12:03:03,543 Epoch: [380][500/631] Time 1.532s (1.561s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000563 (0.000518) Accuracy 0.926 (0.912) loss_pose: 0.000172 loss_cons: 0.000390 -2023-07-30 12:05:38,031 Epoch: [380][600/631] Time 1.513s (1.559s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000582 (0.000519) Accuracy 0.876 (0.912) loss_pose: 0.000193 loss_cons: 0.000389 -2023-07-30 12:06:23,432 Epoch: [380][630/631] Time 1.513s (1.556s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000519 (0.000519) Accuracy 0.919 (0.912) loss_pose: 0.000207 loss_cons: 0.000312 -2023-07-30 12:06:31,599 Test: [0/199] Time 6.036 (6.036) Loss 0.0002 (0.0002) Accuracy 0.916 (0.916) -2023-07-30 12:06:51,715 Test: [100/199] Time 0.199 (0.259) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 12:07:10,706 Test: [198/199] Time 0.341 (0.227) Loss 0.0002 (0.0002) Accuracy 0.917 (0.884) -2023-07-30 12:07:12,294 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 12:07:22,396 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:07:22,439 The Predictions of Net 1 -2023-07-30 12:07:22,440 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:07:22,440 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:07:22,440 | 256x192_pose_dual_101_d256d256d256 | 0.7615 | 0.9354 | 0.8364 | 0.7372 | 0.8007 | 0.7909 | 0.9438 | 0.8588 | 0.7604 | 0.8379 | -2023-07-30 12:07:23,137 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 12:07:28,081 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:07:28,121 The Predictions of Net 2 -2023-07-30 12:07:28,122 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:07:28,122 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:07:28,122 | 256x192_pose_dual_101_d256d256d256 | 0.7638 | 0.9354 | 0.8451 | 0.7360 | 0.8048 | 0.7920 | 0.9444 | 0.8608 | 0.7595 | 0.8415 | -2023-07-30 12:07:28,819 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 12:07:35,846 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:07:35,883 Ensemble Predictions -2023-07-30 12:07:35,884 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:07:35,885 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:07:35,885 | 256x192_pose_dual_101_d256d256d256 | 0.7684 | 0.9359 | 0.8471 | 0.7448 | 0.8106 | 0.7971 | 0.9466 | 0.8645 | 0.7651 | 0.8460 | -2023-07-30 12:07:35,886 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 12:07:45,139 Epoch: [381][0/631] Time 5.017s (5.017s) Speed 6.4 samples/s Data 3.253s (3.253s) Loss 0.000503 (0.000503) Accuracy 0.894 (0.894) loss_pose: 0.000220 loss_cons: 0.000284 -2023-07-30 12:10:21,759 Epoch: [381][100/631] Time 1.529s (1.600s) Speed 20.9 samples/s Data 0.000s (0.033s) Loss 0.000502 (0.000512) Accuracy 0.916 (0.912) loss_pose: 0.000171 loss_cons: 0.000331 -2023-07-30 12:12:55,412 Epoch: [381][200/631] Time 1.516s (1.569s) Speed 21.1 samples/s Data 0.000s (0.017s) Loss 0.000503 (0.000517) Accuracy 0.909 (0.912) loss_pose: 0.000198 loss_cons: 0.000306 -2023-07-30 12:15:32,835 Epoch: [381][300/631] Time 1.575s (1.570s) Speed 20.3 samples/s Data 0.000s (0.011s) Loss 0.000502 (0.000515) Accuracy 0.940 (0.913) loss_pose: 0.000157 loss_cons: 0.000345 -2023-07-30 12:18:07,716 Epoch: [381][400/631] Time 1.528s (1.565s) Speed 20.9 samples/s Data 0.000s (0.008s) Loss 0.000534 (0.000516) Accuracy 0.929 (0.913) loss_pose: 0.000175 loss_cons: 0.000360 -2023-07-30 12:20:42,327 Epoch: [381][500/631] Time 1.534s (1.561s) Speed 20.9 samples/s Data 0.000s (0.007s) Loss 0.000500 (0.000516) Accuracy 0.918 (0.913) loss_pose: 0.000197 loss_cons: 0.000303 -2023-07-30 12:23:19,643 Epoch: [381][600/631] Time 1.606s (1.563s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000595 (0.000516) Accuracy 0.920 (0.914) loss_pose: 0.000187 loss_cons: 0.000408 -2023-07-30 12:24:07,798 Epoch: [381][630/631] Time 1.606s (1.565s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000537 (0.000516) Accuracy 0.895 (0.914) loss_pose: 0.000185 loss_cons: 0.000352 -2023-07-30 12:24:14,768 Test: [0/199] Time 4.545 (4.545) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 12:24:35,005 Test: [100/199] Time 0.200 (0.248) Loss 0.0002 (0.0002) Accuracy 0.933 (0.887) -2023-07-30 12:24:53,593 Test: [198/199] Time 0.135 (0.219) Loss 0.0002 (0.0002) Accuracy 0.922 (0.884) -2023-07-30 12:24:54,688 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 12:25:04,571 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:25:04,628 The Predictions of Net 1 -2023-07-30 12:25:04,629 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:25:04,630 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:25:04,630 | 256x192_pose_dual_101_d256d256d256 | 0.7613 | 0.9352 | 0.8450 | 0.7379 | 0.8004 | 0.7910 | 0.9440 | 0.8605 | 0.7607 | 0.8376 | -2023-07-30 12:25:05,392 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 12:25:10,203 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:25:10,238 The Predictions of Net 2 -2023-07-30 12:25:10,239 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:25:10,240 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:25:10,240 | 256x192_pose_dual_101_d256d256d256 | 0.7638 | 0.9353 | 0.8450 | 0.7359 | 0.8052 | 0.7920 | 0.9443 | 0.8602 | 0.7594 | 0.8416 | -2023-07-30 12:25:10,935 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 12:25:15,688 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:25:15,722 Ensemble Predictions -2023-07-30 12:25:15,723 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:25:15,723 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:25:15,723 | 256x192_pose_dual_101_d256d256d256 | 0.7675 | 0.9356 | 0.8471 | 0.7421 | 0.8096 | 0.7968 | 0.9455 | 0.8643 | 0.7646 | 0.8461 | -2023-07-30 12:25:15,724 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 12:25:24,260 Epoch: [382][0/631] Time 5.490s (5.490s) Speed 5.8 samples/s Data 3.791s (3.791s) Loss 0.000519 (0.000519) Accuracy 0.883 (0.883) loss_pose: 0.000201 loss_cons: 0.000319 -2023-07-30 12:28:01,478 Epoch: [382][100/631] Time 1.537s (1.611s) Speed 20.8 samples/s Data 0.000s (0.038s) Loss 0.000548 (0.000520) Accuracy 0.888 (0.915) loss_pose: 0.000196 loss_cons: 0.000352 -2023-07-30 12:30:40,668 Epoch: [382][200/631] Time 1.515s (1.601s) Speed 21.1 samples/s Data 0.000s (0.019s) Loss 0.000587 (0.000519) Accuracy 0.934 (0.913) loss_pose: 0.000155 loss_cons: 0.000431 -2023-07-30 12:33:20,072 Epoch: [382][300/631] Time 1.517s (1.599s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000513 (0.000519) Accuracy 0.917 (0.912) loss_pose: 0.000170 loss_cons: 0.000342 -2023-07-30 12:35:57,118 Epoch: [382][400/631] Time 1.511s (1.592s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000497 (0.000518) Accuracy 0.912 (0.911) loss_pose: 0.000186 loss_cons: 0.000311 -2023-07-30 12:38:33,138 Epoch: [382][500/631] Time 1.546s (1.586s) Speed 20.7 samples/s Data 0.000s (0.008s) Loss 0.000518 (0.000519) Accuracy 0.869 (0.911) loss_pose: 0.000193 loss_cons: 0.000325 -2023-07-30 12:41:07,525 Epoch: [382][600/631] Time 1.504s (1.579s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000488 (0.000518) Accuracy 0.961 (0.911) loss_pose: 0.000150 loss_cons: 0.000337 -2023-07-30 12:41:53,094 Epoch: [382][630/631] Time 1.506s (1.576s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000646 (0.000519) Accuracy 0.911 (0.911) loss_pose: 0.000177 loss_cons: 0.000469 -2023-07-30 12:42:01,056 Test: [0/199] Time 5.916 (5.916) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 12:42:21,065 Test: [100/199] Time 0.216 (0.257) Loss 0.0002 (0.0002) Accuracy 0.934 (0.886) -2023-07-30 12:42:39,935 Test: [198/199] Time 0.184 (0.225) Loss 0.0002 (0.0002) Accuracy 0.925 (0.883) -2023-07-30 12:42:46,584 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 12:42:53,699 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:42:53,742 The Predictions of Net 1 -2023-07-30 12:42:53,743 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:42:53,744 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:42:53,744 | 256x192_pose_dual_101_d256d256d256 | 0.7604 | 0.9354 | 0.8364 | 0.7358 | 0.8007 | 0.7901 | 0.9435 | 0.8577 | 0.7591 | 0.8377 | -2023-07-30 12:42:54,441 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 12:42:59,356 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:42:59,397 The Predictions of Net 2 -2023-07-30 12:42:59,397 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:42:59,398 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:42:59,398 | 256x192_pose_dual_101_d256d256d256 | 0.7640 | 0.9354 | 0.8449 | 0.7358 | 0.8050 | 0.7923 | 0.9446 | 0.8610 | 0.7598 | 0.8417 | -2023-07-30 12:43:00,086 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 12:43:04,849 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 12:43:04,887 Ensemble Predictions -2023-07-30 12:43:04,888 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 12:43:04,888 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 12:43:04,888 | 256x192_pose_dual_101_d256d256d256 | 0.7683 | 0.9360 | 0.8472 | 0.7440 | 0.8095 | 0.7970 | 0.9465 | 0.8645 | 0.7655 | 0.8453 | -2023-07-30 12:43:04,889 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 12:43:13,167 Epoch: [383][0/631] Time 5.238s (5.238s) Speed 6.1 samples/s Data 3.535s (3.535s) Loss 0.000452 (0.000452) Accuracy 0.949 (0.949) loss_pose: 0.000158 loss_cons: 0.000295 -2023-07-30 12:45:49,892 Epoch: [383][100/631] Time 1.609s (1.604s) Speed 19.9 samples/s Data 0.000s (0.035s) Loss 0.000502 (0.000512) Accuracy 0.919 (0.913) loss_pose: 0.000185 loss_cons: 0.000317 -2023-07-30 12:48:25,488 Epoch: [383][200/631] Time 1.512s (1.580s) Speed 21.2 samples/s Data 0.000s (0.018s) Loss 0.000542 (0.000513) Accuracy 0.920 (0.914) loss_pose: 0.000186 loss_cons: 0.000356 -2023-07-30 12:51:00,229 Epoch: [383][300/631] Time 1.529s (1.569s) Speed 20.9 samples/s Data 0.000s (0.012s) Loss 0.000653 (0.000515) Accuracy 0.891 (0.914) loss_pose: 0.000199 loss_cons: 0.000454 -2023-07-30 12:53:34,810 Epoch: [383][400/631] Time 1.515s (1.563s) Speed 21.1 samples/s Data 0.000s (0.009s) Loss 0.000541 (0.000517) Accuracy 0.929 (0.913) loss_pose: 0.000184 loss_cons: 0.000356 -2023-07-30 12:56:08,643 Epoch: [383][500/631] Time 1.520s (1.558s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000462 (0.000518) Accuracy 0.892 (0.913) loss_pose: 0.000189 loss_cons: 0.000274 -2023-07-30 12:58:44,110 Epoch: [383][600/631] Time 1.606s (1.558s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000587 (0.000519) Accuracy 0.907 (0.913) loss_pose: 0.000185 loss_cons: 0.000402 -2023-07-30 12:59:32,161 Epoch: [383][630/631] Time 1.608s (1.560s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000438 (0.000519) Accuracy 0.922 (0.913) loss_pose: 0.000152 loss_cons: 0.000285 -2023-07-30 12:59:40,109 Test: [0/199] Time 5.725 (5.725) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 13:00:00,396 Test: [100/199] Time 0.205 (0.258) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-30 13:00:19,186 Test: [198/199] Time 0.187 (0.225) Loss 0.0002 (0.0002) Accuracy 0.910 (0.884) -2023-07-30 13:00:20,721 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 13:00:29,801 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:00:29,836 The Predictions of Net 1 -2023-07-30 13:00:29,837 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:00:29,838 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:00:29,838 | 256x192_pose_dual_101_d256d256d256 | 0.7598 | 0.9354 | 0.8364 | 0.7376 | 0.8016 | 0.7907 | 0.9444 | 0.8586 | 0.7599 | 0.8379 | -2023-07-30 13:00:32,827 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 13:00:37,658 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:00:37,694 The Predictions of Net 2 -2023-07-30 13:00:37,694 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:00:37,695 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:00:37,695 | 256x192_pose_dual_101_d256d256d256 | 0.7630 | 0.9354 | 0.8449 | 0.7360 | 0.8047 | 0.7919 | 0.9433 | 0.8615 | 0.7596 | 0.8411 | -2023-07-30 13:00:38,381 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 13:00:43,073 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:00:43,106 Ensemble Predictions -2023-07-30 13:00:43,107 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:00:43,107 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:00:43,107 | 256x192_pose_dual_101_d256d256d256 | 0.7682 | 0.9359 | 0.8472 | 0.7448 | 0.8098 | 0.7975 | 0.9465 | 0.8649 | 0.7657 | 0.8463 | -2023-07-30 13:00:43,109 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 13:00:51,119 Epoch: [384][0/631] Time 5.042s (5.042s) Speed 6.3 samples/s Data 3.251s (3.251s) Loss 0.000488 (0.000488) Accuracy 0.930 (0.930) loss_pose: 0.000187 loss_cons: 0.000301 -2023-07-30 13:03:25,669 Epoch: [384][100/631] Time 1.516s (1.580s) Speed 21.1 samples/s Data 0.000s (0.033s) Loss 0.000506 (0.000509) Accuracy 0.932 (0.915) loss_pose: 0.000167 loss_cons: 0.000339 -2023-07-30 13:05:59,778 Epoch: [384][200/631] Time 1.516s (1.561s) Speed 21.1 samples/s Data 0.000s (0.017s) Loss 0.000549 (0.000514) Accuracy 0.919 (0.913) loss_pose: 0.000185 loss_cons: 0.000364 -2023-07-30 13:08:34,622 Epoch: [384][300/631] Time 1.511s (1.557s) Speed 21.2 samples/s Data 0.000s (0.011s) Loss 0.000572 (0.000516) Accuracy 0.934 (0.911) loss_pose: 0.000148 loss_cons: 0.000424 -2023-07-30 13:11:08,386 Epoch: [384][400/631] Time 1.519s (1.552s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000450 (0.000517) Accuracy 0.902 (0.911) loss_pose: 0.000179 loss_cons: 0.000271 -2023-07-30 13:13:43,052 Epoch: [384][500/631] Time 1.512s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000452 (0.000518) Accuracy 0.942 (0.911) loss_pose: 0.000179 loss_cons: 0.000273 -2023-07-30 13:16:18,787 Epoch: [384][600/631] Time 1.596s (1.552s) Speed 20.1 samples/s Data 0.000s (0.006s) Loss 0.000474 (0.000516) Accuracy 0.961 (0.912) loss_pose: 0.000142 loss_cons: 0.000333 -2023-07-30 13:17:05,623 Epoch: [384][630/631] Time 1.506s (1.552s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000466 (0.000517) Accuracy 0.942 (0.912) loss_pose: 0.000154 loss_cons: 0.000313 -2023-07-30 13:17:13,032 Test: [0/199] Time 5.366 (5.366) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 13:17:33,274 Test: [100/199] Time 0.199 (0.254) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 13:17:52,268 Test: [198/199] Time 0.214 (0.224) Loss 0.0002 (0.0002) Accuracy 0.925 (0.884) -2023-07-30 13:17:53,816 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 13:18:03,604 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:18:03,644 The Predictions of Net 1 -2023-07-30 13:18:03,645 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:18:03,646 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:18:03,646 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9355 | 0.8366 | 0.7387 | 0.8012 | 0.7909 | 0.9446 | 0.8597 | 0.7607 | 0.8378 | -2023-07-30 13:18:04,347 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 13:18:09,191 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:18:09,227 The Predictions of Net 2 -2023-07-30 13:18:09,227 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:18:09,228 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:18:09,228 | 256x192_pose_dual_101_d256d256d256 | 0.7643 | 0.9354 | 0.8453 | 0.7368 | 0.8064 | 0.7925 | 0.9446 | 0.8610 | 0.7597 | 0.8425 | -2023-07-30 13:18:12,104 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 13:18:16,824 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:18:16,861 Ensemble Predictions -2023-07-30 13:18:16,862 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:18:16,863 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:18:16,863 | 256x192_pose_dual_101_d256d256d256 | 0.7684 | 0.9359 | 0.8469 | 0.7450 | 0.8103 | 0.7975 | 0.9462 | 0.8654 | 0.7659 | 0.8464 | -2023-07-30 13:18:16,864 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 13:18:26,121 Epoch: [385][0/631] Time 5.300s (5.300s) Speed 6.0 samples/s Data 3.566s (3.566s) Loss 0.000498 (0.000498) Accuracy 0.881 (0.881) loss_pose: 0.000207 loss_cons: 0.000291 -2023-07-30 13:21:01,449 Epoch: [385][100/631] Time 1.533s (1.590s) Speed 20.9 samples/s Data 0.000s (0.036s) Loss 0.000448 (0.000512) Accuracy 0.913 (0.913) loss_pose: 0.000155 loss_cons: 0.000293 -2023-07-30 13:23:36,862 Epoch: [385][200/631] Time 1.525s (1.572s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000498 (0.000516) Accuracy 0.931 (0.913) loss_pose: 0.000167 loss_cons: 0.000331 -2023-07-30 13:26:11,296 Epoch: [385][300/631] Time 1.551s (1.563s) Speed 20.6 samples/s Data 0.000s (0.012s) Loss 0.000619 (0.000517) Accuracy 0.899 (0.912) loss_pose: 0.000194 loss_cons: 0.000425 -2023-07-30 13:28:45,389 Epoch: [385][400/631] Time 1.522s (1.558s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000575 (0.000519) Accuracy 0.913 (0.911) loss_pose: 0.000181 loss_cons: 0.000394 -2023-07-30 13:31:19,890 Epoch: [385][500/631] Time 1.587s (1.555s) Speed 20.2 samples/s Data 0.000s (0.008s) Loss 0.000506 (0.000518) Accuracy 0.912 (0.912) loss_pose: 0.000186 loss_cons: 0.000320 -2023-07-30 13:33:53,271 Epoch: [385][600/631] Time 1.517s (1.551s) Speed 21.1 samples/s Data 0.000s (0.006s) Loss 0.000542 (0.000519) Accuracy 0.910 (0.911) loss_pose: 0.000193 loss_cons: 0.000348 -2023-07-30 13:34:38,731 Epoch: [385][630/631] Time 1.507s (1.550s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000448 (0.000519) Accuracy 0.905 (0.912) loss_pose: 0.000173 loss_cons: 0.000275 -2023-07-30 13:34:46,527 Test: [0/199] Time 5.791 (5.791) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-30 13:35:06,423 Test: [100/199] Time 0.197 (0.255) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 13:35:25,219 Test: [198/199] Time 0.225 (0.224) Loss 0.0002 (0.0002) Accuracy 0.925 (0.884) -2023-07-30 13:35:26,663 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 13:35:35,758 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:35:35,796 The Predictions of Net 1 -2023-07-30 13:35:35,797 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:35:35,798 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:35:35,798 | 256x192_pose_dual_101_d256d256d256 | 0.7620 | 0.9356 | 0.8456 | 0.7377 | 0.8018 | 0.7911 | 0.9444 | 0.8618 | 0.7606 | 0.8380 | -2023-07-30 13:35:36,504 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 13:35:41,297 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:35:41,329 The Predictions of Net 2 -2023-07-30 13:35:41,330 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:35:41,330 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:35:41,331 | 256x192_pose_dual_101_d256d256d256 | 0.7641 | 0.9352 | 0.8452 | 0.7360 | 0.8053 | 0.7923 | 0.9441 | 0.8618 | 0.7598 | 0.8418 | -2023-07-30 13:35:42,019 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 13:35:46,743 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:35:46,777 Ensemble Predictions -2023-07-30 13:35:46,778 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:35:46,778 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:35:46,778 | 256x192_pose_dual_101_d256d256d256 | 0.7693 | 0.9359 | 0.8468 | 0.7450 | 0.8109 | 0.7978 | 0.9469 | 0.8651 | 0.7661 | 0.8467 | -2023-07-30 13:35:46,779 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 13:35:56,578 Epoch: [386][0/631] Time 5.757s (5.757s) Speed 5.6 samples/s Data 4.072s (4.072s) Loss 0.000380 (0.000380) Accuracy 0.923 (0.923) loss_pose: 0.000160 loss_cons: 0.000220 -2023-07-30 13:38:34,068 Epoch: [386][100/631] Time 1.515s (1.616s) Speed 21.1 samples/s Data 0.000s (0.041s) Loss 0.000450 (0.000504) Accuracy 0.933 (0.910) loss_pose: 0.000151 loss_cons: 0.000298 -2023-07-30 13:41:08,074 Epoch: [386][200/631] Time 1.514s (1.578s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000619 (0.000510) Accuracy 0.894 (0.911) loss_pose: 0.000208 loss_cons: 0.000411 -2023-07-30 13:43:42,083 Epoch: [386][300/631] Time 1.530s (1.566s) Speed 20.9 samples/s Data 0.000s (0.014s) Loss 0.000667 (0.000514) Accuracy 0.897 (0.912) loss_pose: 0.000195 loss_cons: 0.000472 -2023-07-30 13:46:16,025 Epoch: [386][400/631] Time 1.620s (1.559s) Speed 19.8 samples/s Data 0.000s (0.011s) Loss 0.000530 (0.000516) Accuracy 0.886 (0.912) loss_pose: 0.000188 loss_cons: 0.000342 -2023-07-30 13:48:50,619 Epoch: [386][500/631] Time 1.514s (1.556s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000567 (0.000514) Accuracy 0.903 (0.912) loss_pose: 0.000183 loss_cons: 0.000385 -2023-07-30 13:51:24,230 Epoch: [386][600/631] Time 1.518s (1.553s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000523 (0.000515) Accuracy 0.913 (0.912) loss_pose: 0.000170 loss_cons: 0.000354 -2023-07-30 13:52:09,606 Epoch: [386][630/631] Time 1.507s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000448 (0.000514) Accuracy 0.913 (0.912) loss_pose: 0.000155 loss_cons: 0.000294 -2023-07-30 13:52:18,135 Test: [0/199] Time 6.314 (6.314) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 13:52:38,206 Test: [100/199] Time 0.204 (0.262) Loss 0.0002 (0.0002) Accuracy 0.939 (0.886) -2023-07-30 13:52:57,061 Test: [198/199] Time 0.144 (0.227) Loss 0.0002 (0.0002) Accuracy 0.910 (0.884) -2023-07-30 13:52:58,408 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 13:53:08,268 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:53:08,303 The Predictions of Net 1 -2023-07-30 13:53:08,304 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:53:08,304 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:53:08,304 | 256x192_pose_dual_101_d256d256d256 | 0.7602 | 0.9355 | 0.8356 | 0.7370 | 0.7993 | 0.7904 | 0.9449 | 0.8583 | 0.7597 | 0.8376 | -2023-07-30 13:53:08,990 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 13:53:13,727 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:53:13,762 The Predictions of Net 2 -2023-07-30 13:53:13,763 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:53:13,763 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:53:13,763 | 256x192_pose_dual_101_d256d256d256 | 0.7612 | 0.9353 | 0.8362 | 0.7367 | 0.8051 | 0.7918 | 0.9433 | 0.8597 | 0.7592 | 0.8414 | -2023-07-30 13:53:14,456 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 13:53:19,192 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 13:53:19,230 Ensemble Predictions -2023-07-30 13:53:19,230 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 13:53:19,231 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 13:53:19,231 | 256x192_pose_dual_101_d256d256d256 | 0.7684 | 0.9357 | 0.8468 | 0.7439 | 0.8110 | 0.7976 | 0.9462 | 0.8648 | 0.7656 | 0.8469 | -2023-07-30 13:53:19,232 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 13:53:27,672 Epoch: [387][0/631] Time 5.464s (5.464s) Speed 5.9 samples/s Data 3.750s (3.750s) Loss 0.000459 (0.000459) Accuracy 0.923 (0.923) loss_pose: 0.000195 loss_cons: 0.000263 -2023-07-30 13:56:01,808 Epoch: [387][100/631] Time 1.523s (1.580s) Speed 21.0 samples/s Data 0.001s (0.038s) Loss 0.000448 (0.000510) Accuracy 0.921 (0.911) loss_pose: 0.000171 loss_cons: 0.000276 -2023-07-30 13:58:35,442 Epoch: [387][200/631] Time 1.533s (1.558s) Speed 20.9 samples/s Data 0.001s (0.019s) Loss 0.000507 (0.000513) Accuracy 0.942 (0.913) loss_pose: 0.000166 loss_cons: 0.000341 -2023-07-30 14:01:09,436 Epoch: [387][300/631] Time 1.518s (1.552s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000594 (0.000515) Accuracy 0.926 (0.913) loss_pose: 0.000167 loss_cons: 0.000427 -2023-07-30 14:03:43,241 Epoch: [387][400/631] Time 1.507s (1.549s) Speed 21.2 samples/s Data 0.001s (0.010s) Loss 0.000515 (0.000517) Accuracy 0.911 (0.912) loss_pose: 0.000191 loss_cons: 0.000324 -2023-07-30 14:06:17,567 Epoch: [387][500/631] Time 1.509s (1.548s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000501 (0.000518) Accuracy 0.911 (0.911) loss_pose: 0.000191 loss_cons: 0.000310 -2023-07-30 14:08:52,220 Epoch: [387][600/631] Time 1.610s (1.547s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000626 (0.000517) Accuracy 0.878 (0.911) loss_pose: 0.000211 loss_cons: 0.000415 -2023-07-30 14:09:39,668 Epoch: [387][630/631] Time 1.510s (1.549s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000433 (0.000517) Accuracy 0.954 (0.911) loss_pose: 0.000155 loss_cons: 0.000278 -2023-07-30 14:09:47,682 Test: [0/199] Time 5.950 (5.950) Loss 0.0002 (0.0002) Accuracy 0.912 (0.912) -2023-07-30 14:10:07,519 Test: [100/199] Time 0.208 (0.255) Loss 0.0002 (0.0002) Accuracy 0.936 (0.887) -2023-07-30 14:10:26,197 Test: [198/199] Time 0.144 (0.223) Loss 0.0002 (0.0002) Accuracy 0.910 (0.883) -2023-07-30 14:10:27,796 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 14:10:39,323 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:10:39,358 The Predictions of Net 1 -2023-07-30 14:10:39,359 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:10:39,359 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:10:39,359 | 256x192_pose_dual_101_d256d256d256 | 0.7606 | 0.9355 | 0.8363 | 0.7368 | 0.8019 | 0.7908 | 0.9449 | 0.8593 | 0.7600 | 0.8382 | -2023-07-30 14:10:40,047 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 14:10:44,782 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:10:44,817 The Predictions of Net 2 -2023-07-30 14:10:44,818 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:10:44,818 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:10:44,818 | 256x192_pose_dual_101_d256d256d256 | 0.7619 | 0.9353 | 0.8357 | 0.7368 | 0.8047 | 0.7915 | 0.9438 | 0.8580 | 0.7593 | 0.8407 | -2023-07-30 14:10:45,508 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 14:10:50,243 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:10:50,279 Ensemble Predictions -2023-07-30 14:10:50,279 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:10:50,280 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:10:50,280 | 256x192_pose_dual_101_d256d256d256 | 0.7695 | 0.9358 | 0.8470 | 0.7452 | 0.8097 | 0.7977 | 0.9458 | 0.8652 | 0.7661 | 0.8463 | -2023-07-30 14:10:50,281 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 14:10:59,302 Epoch: [388][0/631] Time 6.106s (6.106s) Speed 5.2 samples/s Data 4.431s (4.431s) Loss 0.000429 (0.000429) Accuracy 0.924 (0.924) loss_pose: 0.000177 loss_cons: 0.000252 -2023-07-30 14:13:35,715 Epoch: [388][100/631] Time 1.605s (1.609s) Speed 19.9 samples/s Data 0.000s (0.044s) Loss 0.000562 (0.000515) Accuracy 0.896 (0.910) loss_pose: 0.000195 loss_cons: 0.000367 -2023-07-30 14:16:10,601 Epoch: [388][200/631] Time 1.515s (1.579s) Speed 21.1 samples/s Data 0.000s (0.022s) Loss 0.000479 (0.000517) Accuracy 0.908 (0.912) loss_pose: 0.000196 loss_cons: 0.000284 -2023-07-30 14:18:46,366 Epoch: [388][300/631] Time 1.526s (1.572s) Speed 21.0 samples/s Data 0.000s (0.015s) Loss 0.000600 (0.000515) Accuracy 0.945 (0.912) loss_pose: 0.000158 loss_cons: 0.000443 -2023-07-30 14:21:20,507 Epoch: [388][400/631] Time 1.527s (1.564s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000522 (0.000516) Accuracy 0.909 (0.911) loss_pose: 0.000217 loss_cons: 0.000305 -2023-07-30 14:23:55,535 Epoch: [388][500/631] Time 1.525s (1.562s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000452 (0.000516) Accuracy 0.920 (0.912) loss_pose: 0.000158 loss_cons: 0.000294 -2023-07-30 14:26:30,906 Epoch: [388][600/631] Time 1.600s (1.560s) Speed 20.0 samples/s Data 0.000s (0.008s) Loss 0.000511 (0.000516) Accuracy 0.916 (0.913) loss_pose: 0.000179 loss_cons: 0.000332 -2023-07-30 14:27:19,092 Epoch: [388][630/631] Time 1.605s (1.562s) Speed 19.9 samples/s Data 0.000s (0.007s) Loss 0.000552 (0.000516) Accuracy 0.870 (0.913) loss_pose: 0.000202 loss_cons: 0.000350 -2023-07-30 14:27:26,867 Test: [0/199] Time 5.374 (5.374) Loss 0.0002 (0.0002) Accuracy 0.914 (0.914) -2023-07-30 14:27:46,731 Test: [100/199] Time 0.206 (0.251) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 14:28:05,220 Test: [198/199] Time 0.133 (0.221) Loss 0.0002 (0.0002) Accuracy 0.930 (0.884) -2023-07-30 14:28:07,061 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 14:28:16,156 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:28:16,200 The Predictions of Net 1 -2023-07-30 14:28:16,202 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:28:16,203 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:28:16,203 | 256x192_pose_dual_101_d256d256d256 | 0.7622 | 0.9351 | 0.8454 | 0.7370 | 0.8004 | 0.7906 | 0.9441 | 0.8605 | 0.7597 | 0.8381 | -2023-07-30 14:28:16,915 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 14:28:24,609 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:28:24,649 The Predictions of Net 2 -2023-07-30 14:28:24,649 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:28:24,650 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:28:24,650 | 256x192_pose_dual_101_d256d256d256 | 0.7622 | 0.9354 | 0.8358 | 0.7359 | 0.8052 | 0.7916 | 0.9435 | 0.8588 | 0.7592 | 0.8410 | -2023-07-30 14:28:25,343 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 14:28:30,186 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:28:30,222 Ensemble Predictions -2023-07-30 14:28:30,222 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:28:30,223 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:28:30,223 | 256x192_pose_dual_101_d256d256d256 | 0.7684 | 0.9361 | 0.8469 | 0.7450 | 0.8102 | 0.7976 | 0.9471 | 0.8654 | 0.7660 | 0.8462 | -2023-07-30 14:28:30,224 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 14:28:38,837 Epoch: [389][0/631] Time 5.704s (5.704s) Speed 5.6 samples/s Data 4.008s (4.008s) Loss 0.000465 (0.000465) Accuracy 0.933 (0.933) loss_pose: 0.000171 loss_cons: 0.000294 -2023-07-30 14:31:13,382 Epoch: [389][100/631] Time 1.538s (1.587s) Speed 20.8 samples/s Data 0.001s (0.040s) Loss 0.000435 (0.000506) Accuracy 0.929 (0.912) loss_pose: 0.000158 loss_cons: 0.000277 -2023-07-30 14:33:47,832 Epoch: [389][200/631] Time 1.520s (1.566s) Speed 21.1 samples/s Data 0.000s (0.020s) Loss 0.000444 (0.000511) Accuracy 0.942 (0.913) loss_pose: 0.000163 loss_cons: 0.000281 -2023-07-30 14:36:21,513 Epoch: [389][300/631] Time 1.522s (1.556s) Speed 21.0 samples/s Data 0.000s (0.014s) Loss 0.000571 (0.000512) Accuracy 0.922 (0.912) loss_pose: 0.000181 loss_cons: 0.000390 -2023-07-30 14:38:54,953 Epoch: [389][400/631] Time 1.549s (1.551s) Speed 20.7 samples/s Data 0.000s (0.010s) Loss 0.000520 (0.000514) Accuracy 0.933 (0.913) loss_pose: 0.000172 loss_cons: 0.000348 -2023-07-30 14:41:28,937 Epoch: [389][500/631] Time 1.520s (1.549s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000470 (0.000514) Accuracy 0.917 (0.913) loss_pose: 0.000192 loss_cons: 0.000278 -2023-07-30 14:44:03,958 Epoch: [389][600/631] Time 1.590s (1.549s) Speed 20.1 samples/s Data 0.000s (0.007s) Loss 0.000563 (0.000515) Accuracy 0.914 (0.913) loss_pose: 0.000195 loss_cons: 0.000369 -2023-07-30 14:44:51,290 Epoch: [389][630/631] Time 1.517s (1.550s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000551 (0.000515) Accuracy 0.881 (0.913) loss_pose: 0.000168 loss_cons: 0.000383 -2023-07-30 14:44:59,419 Test: [0/199] Time 6.096 (6.096) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 14:45:19,602 Test: [100/199] Time 0.215 (0.260) Loss 0.0002 (0.0002) Accuracy 0.937 (0.887) -2023-07-30 14:45:38,556 Test: [198/199] Time 0.227 (0.227) Loss 0.0002 (0.0002) Accuracy 0.922 (0.884) -2023-07-30 14:45:39,805 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 14:45:49,676 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:45:49,720 The Predictions of Net 1 -2023-07-30 14:45:49,721 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:45:49,721 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:45:49,721 | 256x192_pose_dual_101_d256d256d256 | 0.7605 | 0.9354 | 0.8366 | 0.7369 | 0.8013 | 0.7906 | 0.9438 | 0.8593 | 0.7599 | 0.8377 | -2023-07-30 14:45:50,435 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 14:45:55,362 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:45:55,401 The Predictions of Net 2 -2023-07-30 14:45:55,402 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:45:55,403 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:45:55,403 | 256x192_pose_dual_101_d256d256d256 | 0.7626 | 0.9353 | 0.8357 | 0.7359 | 0.8045 | 0.7913 | 0.9430 | 0.8593 | 0.7590 | 0.8407 | -2023-07-30 14:45:56,104 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 14:46:03,179 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 14:46:03,218 Ensemble Predictions -2023-07-30 14:46:03,219 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 14:46:03,219 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 14:46:03,219 | 256x192_pose_dual_101_d256d256d256 | 0.7683 | 0.9358 | 0.8467 | 0.7459 | 0.8086 | 0.7974 | 0.9460 | 0.8649 | 0.7663 | 0.8454 | -2023-07-30 14:46:03,220 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 14:46:12,110 Epoch: [390][0/631] Time 5.891s (5.891s) Speed 5.4 samples/s Data 4.185s (4.185s) Loss 0.000441 (0.000441) Accuracy 0.966 (0.966) loss_pose: 0.000159 loss_cons: 0.000282 -2023-07-30 14:48:45,685 Epoch: [390][100/631] Time 1.521s (1.579s) Speed 21.0 samples/s Data 0.000s (0.042s) Loss 0.000556 (0.000518) Accuracy 0.912 (0.914) loss_pose: 0.000208 loss_cons: 0.000349 -2023-07-30 14:51:18,917 Epoch: [390][200/631] Time 1.515s (1.556s) Speed 21.1 samples/s Data 0.000s (0.021s) Loss 0.000483 (0.000517) Accuracy 0.913 (0.912) loss_pose: 0.000188 loss_cons: 0.000295 -2023-07-30 14:53:51,608 Epoch: [390][300/631] Time 1.512s (1.546s) Speed 21.2 samples/s Data 0.000s (0.014s) Loss 0.000569 (0.000516) Accuracy 0.895 (0.912) loss_pose: 0.000212 loss_cons: 0.000357 -2023-07-30 14:56:24,769 Epoch: [390][400/631] Time 1.510s (1.543s) Speed 21.2 samples/s Data 0.000s (0.011s) Loss 0.000517 (0.000517) Accuracy 0.915 (0.912) loss_pose: 0.000161 loss_cons: 0.000355 -2023-07-30 14:58:58,981 Epoch: [390][500/631] Time 1.512s (1.542s) Speed 21.2 samples/s Data 0.000s (0.009s) Loss 0.000540 (0.000517) Accuracy 0.864 (0.912) loss_pose: 0.000221 loss_cons: 0.000320 -2023-07-30 15:01:32,121 Epoch: [390][600/631] Time 1.512s (1.541s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000511 (0.000517) Accuracy 0.894 (0.912) loss_pose: 0.000155 loss_cons: 0.000356 -2023-07-30 15:02:17,490 Epoch: [390][630/631] Time 1.515s (1.539s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000499 (0.000517) Accuracy 0.943 (0.912) loss_pose: 0.000164 loss_cons: 0.000335 -2023-07-30 15:02:25,203 Test: [0/199] Time 5.820 (5.820) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 15:02:45,288 Test: [100/199] Time 0.202 (0.257) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 15:03:03,981 Test: [198/199] Time 0.145 (0.224) Loss 0.0002 (0.0002) Accuracy 0.922 (0.884) -2023-07-30 15:03:05,522 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 15:03:15,226 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:03:15,272 The Predictions of Net 1 -2023-07-30 15:03:15,273 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:03:15,274 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:03:15,274 | 256x192_pose_dual_101_d256d256d256 | 0.7611 | 0.9355 | 0.8361 | 0.7377 | 0.8017 | 0.7912 | 0.9449 | 0.8591 | 0.7606 | 0.8382 | -2023-07-30 15:03:15,975 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 15:03:20,855 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:03:20,892 The Predictions of Net 2 -2023-07-30 15:03:20,892 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:03:20,893 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:03:20,893 | 256x192_pose_dual_101_d256d256d256 | 0.7631 | 0.9354 | 0.8448 | 0.7367 | 0.8049 | 0.7918 | 0.9435 | 0.8602 | 0.7592 | 0.8414 | -2023-07-30 15:03:21,591 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 15:03:26,323 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:03:26,357 Ensemble Predictions -2023-07-30 15:03:26,358 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:03:26,358 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:03:26,358 | 256x192_pose_dual_101_d256d256d256 | 0.7684 | 0.9358 | 0.8472 | 0.7448 | 0.8107 | 0.7973 | 0.9466 | 0.8640 | 0.7655 | 0.8460 | -2023-07-30 15:03:26,360 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 15:03:34,974 Epoch: [391][0/631] Time 5.653s (5.653s) Speed 5.7 samples/s Data 3.960s (3.960s) Loss 0.000451 (0.000451) Accuracy 0.905 (0.905) loss_pose: 0.000181 loss_cons: 0.000270 -2023-07-30 15:06:13,032 Epoch: [391][100/631] Time 1.602s (1.621s) Speed 20.0 samples/s Data 0.000s (0.040s) Loss 0.000496 (0.000518) Accuracy 0.901 (0.908) loss_pose: 0.000187 loss_cons: 0.000309 -2023-07-30 15:08:52,385 Epoch: [391][200/631] Time 1.511s (1.607s) Speed 21.2 samples/s Data 0.000s (0.020s) Loss 0.000536 (0.000519) Accuracy 0.910 (0.909) loss_pose: 0.000195 loss_cons: 0.000341 -2023-07-30 15:11:33,926 Epoch: [391][300/631] Time 1.584s (1.610s) Speed 20.2 samples/s Data 0.000s (0.014s) Loss 0.000581 (0.000518) Accuracy 0.874 (0.909) loss_pose: 0.000197 loss_cons: 0.000384 -2023-07-30 15:14:08,002 Epoch: [391][400/631] Time 1.508s (1.593s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000508 (0.000518) Accuracy 0.936 (0.910) loss_pose: 0.000175 loss_cons: 0.000333 -2023-07-30 15:16:43,448 Epoch: [391][500/631] Time 1.525s (1.585s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000552 (0.000517) Accuracy 0.909 (0.910) loss_pose: 0.000206 loss_cons: 0.000346 -2023-07-30 15:19:16,874 Epoch: [391][600/631] Time 1.513s (1.577s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000579 (0.000516) Accuracy 0.862 (0.911) loss_pose: 0.000194 loss_cons: 0.000385 -2023-07-30 15:20:02,244 Epoch: [391][630/631] Time 1.507s (1.574s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000450 (0.000516) Accuracy 0.907 (0.911) loss_pose: 0.000176 loss_cons: 0.000274 -2023-07-30 15:20:10,129 Test: [0/199] Time 5.770 (5.770) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 15:20:30,441 Test: [100/199] Time 0.211 (0.259) Loss 0.0002 (0.0002) Accuracy 0.936 (0.887) -2023-07-30 15:20:49,449 Test: [198/199] Time 0.260 (0.227) Loss 0.0002 (0.0002) Accuracy 0.930 (0.884) -2023-07-30 15:20:53,637 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 15:21:02,742 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:21:02,780 The Predictions of Net 1 -2023-07-30 15:21:02,780 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:21:02,781 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:21:02,781 | 256x192_pose_dual_101_d256d256d256 | 0.7608 | 0.9355 | 0.8358 | 0.7374 | 0.8007 | 0.7904 | 0.9449 | 0.8578 | 0.7598 | 0.8376 | -2023-07-30 15:21:03,478 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 15:21:08,240 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:21:08,279 The Predictions of Net 2 -2023-07-30 15:21:08,280 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:21:08,280 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:21:08,280 | 256x192_pose_dual_101_d256d256d256 | 0.7611 | 0.9353 | 0.8363 | 0.7358 | 0.8046 | 0.7912 | 0.9440 | 0.8594 | 0.7587 | 0.8407 | -2023-07-30 15:21:08,973 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 15:21:13,703 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:21:13,737 Ensemble Predictions -2023-07-30 15:21:13,738 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:21:13,738 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:21:13,738 | 256x192_pose_dual_101_d256d256d256 | 0.7693 | 0.9357 | 0.8464 | 0.7448 | 0.8110 | 0.7977 | 0.9466 | 0.8641 | 0.7656 | 0.8469 | -2023-07-30 15:21:13,739 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 15:21:22,331 Epoch: [392][0/631] Time 5.484s (5.484s) Speed 5.8 samples/s Data 3.756s (3.756s) Loss 0.000462 (0.000462) Accuracy 0.923 (0.923) loss_pose: 0.000175 loss_cons: 0.000287 -2023-07-30 15:23:56,770 Epoch: [392][100/631] Time 1.553s (1.583s) Speed 20.6 samples/s Data 0.000s (0.038s) Loss 0.000661 (0.000514) Accuracy 0.856 (0.907) loss_pose: 0.000282 loss_cons: 0.000379 -2023-07-30 15:26:32,160 Epoch: [392][200/631] Time 1.524s (1.569s) Speed 21.0 samples/s Data 0.000s (0.019s) Loss 0.000509 (0.000516) Accuracy 0.944 (0.910) loss_pose: 0.000160 loss_cons: 0.000349 -2023-07-30 15:29:07,175 Epoch: [392][300/631] Time 1.517s (1.563s) Speed 21.1 samples/s Data 0.000s (0.013s) Loss 0.000597 (0.000517) Accuracy 0.939 (0.910) loss_pose: 0.000173 loss_cons: 0.000424 -2023-07-30 15:31:42,352 Epoch: [392][400/631] Time 1.520s (1.560s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000531 (0.000516) Accuracy 0.926 (0.912) loss_pose: 0.000174 loss_cons: 0.000357 -2023-07-30 15:34:15,721 Epoch: [392][500/631] Time 1.508s (1.555s) Speed 21.2 samples/s Data 0.000s (0.008s) Loss 0.000438 (0.000516) Accuracy 0.907 (0.912) loss_pose: 0.000183 loss_cons: 0.000255 -2023-07-30 15:36:49,114 Epoch: [392][600/631] Time 1.514s (1.551s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000525 (0.000516) Accuracy 0.930 (0.912) loss_pose: 0.000162 loss_cons: 0.000363 -2023-07-30 15:37:34,537 Epoch: [392][630/631] Time 1.511s (1.549s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000526 (0.000517) Accuracy 0.871 (0.912) loss_pose: 0.000192 loss_cons: 0.000334 -2023-07-30 15:37:41,588 Test: [0/199] Time 4.922 (4.922) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 15:38:01,895 Test: [100/199] Time 0.207 (0.252) Loss 0.0002 (0.0002) Accuracy 0.929 (0.887) -2023-07-30 15:38:20,457 Test: [198/199] Time 0.133 (0.221) Loss 0.0002 (0.0002) Accuracy 0.915 (0.884) -2023-07-30 15:38:22,021 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 15:38:31,615 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:38:31,649 The Predictions of Net 1 -2023-07-30 15:38:31,650 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:38:31,650 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:38:31,650 | 256x192_pose_dual_101_d256d256d256 | 0.7608 | 0.9356 | 0.8363 | 0.7376 | 0.8019 | 0.7908 | 0.9443 | 0.8594 | 0.7601 | 0.8379 | -2023-07-30 15:38:34,427 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 15:38:39,193 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:38:39,228 The Predictions of Net 2 -2023-07-30 15:38:39,229 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:38:39,229 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:38:39,229 | 256x192_pose_dual_101_d256d256d256 | 0.7640 | 0.9353 | 0.8452 | 0.7360 | 0.8050 | 0.7923 | 0.9443 | 0.8608 | 0.7598 | 0.8420 | -2023-07-30 15:38:39,917 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 15:38:44,712 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:38:44,748 Ensemble Predictions -2023-07-30 15:38:44,749 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:38:44,749 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:38:44,750 | 256x192_pose_dual_101_d256d256d256 | 0.7701 | 0.9358 | 0.8473 | 0.7449 | 0.8112 | 0.7977 | 0.9465 | 0.8651 | 0.7658 | 0.8467 | -2023-07-30 15:38:44,751 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 15:38:53,128 Epoch: [393][0/631] Time 5.397s (5.397s) Speed 5.9 samples/s Data 3.715s (3.715s) Loss 0.000461 (0.000461) Accuracy 0.910 (0.910) loss_pose: 0.000163 loss_cons: 0.000298 -2023-07-30 15:41:29,483 Epoch: [393][100/631] Time 1.529s (1.602s) Speed 20.9 samples/s Data 0.000s (0.037s) Loss 0.000548 (0.000520) Accuracy 0.897 (0.910) loss_pose: 0.000219 loss_cons: 0.000330 -2023-07-30 15:44:04,492 Epoch: [393][200/631] Time 1.511s (1.576s) Speed 21.2 samples/s Data 0.000s (0.019s) Loss 0.000471 (0.000517) Accuracy 0.925 (0.911) loss_pose: 0.000176 loss_cons: 0.000294 -2023-07-30 15:46:39,112 Epoch: [393][300/631] Time 1.546s (1.566s) Speed 20.7 samples/s Data 0.000s (0.013s) Loss 0.000589 (0.000517) Accuracy 0.907 (0.912) loss_pose: 0.000170 loss_cons: 0.000418 -2023-07-30 15:49:14,809 Epoch: [393][400/631] Time 1.518s (1.564s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000523 (0.000516) Accuracy 0.923 (0.911) loss_pose: 0.000165 loss_cons: 0.000358 -2023-07-30 15:51:49,279 Epoch: [393][500/631] Time 1.515s (1.560s) Speed 21.1 samples/s Data 0.000s (0.008s) Loss 0.000524 (0.000516) Accuracy 0.915 (0.911) loss_pose: 0.000187 loss_cons: 0.000336 -2023-07-30 15:54:22,656 Epoch: [393][600/631] Time 1.517s (1.556s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000601 (0.000516) Accuracy 0.923 (0.912) loss_pose: 0.000174 loss_cons: 0.000427 -2023-07-30 15:55:08,048 Epoch: [393][630/631] Time 1.507s (1.554s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000489 (0.000516) Accuracy 0.912 (0.912) loss_pose: 0.000204 loss_cons: 0.000285 -2023-07-30 15:55:15,288 Test: [0/199] Time 4.946 (4.946) Loss 0.0002 (0.0002) Accuracy 0.910 (0.910) -2023-07-30 15:55:35,575 Test: [100/199] Time 0.214 (0.252) Loss 0.0002 (0.0002) Accuracy 0.939 (0.887) -2023-07-30 15:55:54,321 Test: [198/199] Time 0.188 (0.222) Loss 0.0002 (0.0002) Accuracy 0.922 (0.884) -2023-07-30 15:55:56,245 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 15:56:05,868 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:56:05,907 The Predictions of Net 1 -2023-07-30 15:56:05,908 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:56:05,909 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:56:05,909 | 256x192_pose_dual_101_d256d256d256 | 0.7604 | 0.9356 | 0.8358 | 0.7359 | 0.8014 | 0.7904 | 0.9443 | 0.8594 | 0.7593 | 0.8382 | -2023-07-30 15:56:06,603 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 15:56:11,332 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:56:11,376 The Predictions of Net 2 -2023-07-30 15:56:11,376 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:56:11,376 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:56:11,377 | 256x192_pose_dual_101_d256d256d256 | 0.7632 | 0.9352 | 0.8452 | 0.7369 | 0.8059 | 0.7925 | 0.9433 | 0.8604 | 0.7601 | 0.8419 | -2023-07-30 15:56:12,064 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 15:56:18,932 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 15:56:18,966 Ensemble Predictions -2023-07-30 15:56:18,967 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 15:56:18,967 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 15:56:18,967 | 256x192_pose_dual_101_d256d256d256 | 0.7696 | 0.9357 | 0.8472 | 0.7448 | 0.8112 | 0.7979 | 0.9466 | 0.8649 | 0.7662 | 0.8467 | -2023-07-30 15:56:18,969 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 15:56:27,660 Epoch: [394][0/631] Time 5.748s (5.748s) Speed 5.6 samples/s Data 4.071s (4.071s) Loss 0.000428 (0.000428) Accuracy 0.921 (0.921) loss_pose: 0.000169 loss_cons: 0.000259 -2023-07-30 15:59:02,429 Epoch: [394][100/631] Time 1.531s (1.589s) Speed 20.9 samples/s Data 0.000s (0.041s) Loss 0.000430 (0.000511) Accuracy 0.922 (0.912) loss_pose: 0.000154 loss_cons: 0.000276 -2023-07-30 16:01:36,839 Epoch: [394][200/631] Time 1.521s (1.567s) Speed 21.0 samples/s Data 0.000s (0.021s) Loss 0.000491 (0.000515) Accuracy 0.905 (0.908) loss_pose: 0.000166 loss_cons: 0.000324 -2023-07-30 16:04:10,862 Epoch: [394][300/631] Time 1.510s (1.558s) Speed 21.2 samples/s Data 0.000s (0.014s) Loss 0.000602 (0.000516) Accuracy 0.889 (0.911) loss_pose: 0.000204 loss_cons: 0.000398 -2023-07-30 16:06:45,746 Epoch: [394][400/631] Time 1.607s (1.556s) Speed 19.9 samples/s Data 0.000s (0.011s) Loss 0.000558 (0.000515) Accuracy 0.912 (0.912) loss_pose: 0.000173 loss_cons: 0.000385 -2023-07-30 16:09:19,843 Epoch: [394][500/631] Time 1.530s (1.553s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000454 (0.000514) Accuracy 0.938 (0.913) loss_pose: 0.000162 loss_cons: 0.000292 -2023-07-30 16:11:52,391 Epoch: [394][600/631] Time 1.520s (1.548s) Speed 21.0 samples/s Data 0.000s (0.007s) Loss 0.000483 (0.000516) Accuracy 0.943 (0.912) loss_pose: 0.000178 loss_cons: 0.000305 -2023-07-30 16:12:37,769 Epoch: [394][630/631] Time 1.507s (1.547s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000462 (0.000516) Accuracy 0.934 (0.912) loss_pose: 0.000155 loss_cons: 0.000306 -2023-07-30 16:12:45,148 Test: [0/199] Time 5.345 (5.345) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-30 16:13:05,189 Test: [100/199] Time 0.200 (0.252) Loss 0.0002 (0.0002) Accuracy 0.934 (0.887) -2023-07-30 16:13:23,745 Test: [198/199] Time 0.134 (0.221) Loss 0.0002 (0.0002) Accuracy 0.922 (0.883) -2023-07-30 16:13:25,680 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 16:13:35,105 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:13:35,148 The Predictions of Net 1 -2023-07-30 16:13:35,149 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:13:35,149 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:13:35,149 | 256x192_pose_dual_101_d256d256d256 | 0.7589 | 0.9355 | 0.8357 | 0.7375 | 0.8006 | 0.7901 | 0.9447 | 0.8574 | 0.7592 | 0.8376 | -2023-07-30 16:13:35,846 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 16:13:40,604 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:13:40,638 The Predictions of Net 2 -2023-07-30 16:13:40,639 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:13:40,640 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:13:40,640 | 256x192_pose_dual_101_d256d256d256 | 0.7624 | 0.9354 | 0.8455 | 0.7360 | 0.8048 | 0.7918 | 0.9443 | 0.8604 | 0.7597 | 0.8408 | -2023-07-30 16:13:41,327 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 16:13:46,070 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:13:46,104 Ensemble Predictions -2023-07-30 16:13:46,105 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:13:46,105 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:13:46,105 | 256x192_pose_dual_101_d256d256d256 | 0.7686 | 0.9359 | 0.8473 | 0.7451 | 0.8112 | 0.7976 | 0.9463 | 0.8652 | 0.7660 | 0.8464 | -2023-07-30 16:13:46,106 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 16:13:54,697 Epoch: [395][0/631] Time 5.546s (5.546s) Speed 5.8 samples/s Data 3.839s (3.839s) Loss 0.000523 (0.000523) Accuracy 0.929 (0.929) loss_pose: 0.000194 loss_cons: 0.000329 -2023-07-30 16:16:30,583 Epoch: [395][100/631] Time 1.609s (1.598s) Speed 19.9 samples/s Data 0.000s (0.038s) Loss 0.000455 (0.000514) Accuracy 0.935 (0.913) loss_pose: 0.000155 loss_cons: 0.000299 -2023-07-30 16:19:05,876 Epoch: [395][200/631] Time 1.511s (1.576s) Speed 21.2 samples/s Data 0.000s (0.019s) Loss 0.000535 (0.000513) Accuracy 0.913 (0.915) loss_pose: 0.000186 loss_cons: 0.000348 -2023-07-30 16:21:44,263 Epoch: [395][300/631] Time 1.619s (1.578s) Speed 19.8 samples/s Data 0.000s (0.013s) Loss 0.000588 (0.000513) Accuracy 0.924 (0.913) loss_pose: 0.000177 loss_cons: 0.000411 -2023-07-30 16:24:19,807 Epoch: [395][400/631] Time 1.510s (1.573s) Speed 21.2 samples/s Data 0.000s (0.010s) Loss 0.000507 (0.000516) Accuracy 0.899 (0.912) loss_pose: 0.000178 loss_cons: 0.000329 -2023-07-30 16:26:54,504 Epoch: [395][500/631] Time 1.523s (1.568s) Speed 21.0 samples/s Data 0.000s (0.008s) Loss 0.000472 (0.000515) Accuracy 0.931 (0.913) loss_pose: 0.000167 loss_cons: 0.000305 -2023-07-30 16:29:28,600 Epoch: [395][600/631] Time 1.519s (1.563s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000528 (0.000516) Accuracy 0.905 (0.912) loss_pose: 0.000190 loss_cons: 0.000338 -2023-07-30 16:30:16,347 Epoch: [395][630/631] Time 1.608s (1.564s) Speed 19.9 samples/s Data 0.000s (0.006s) Loss 0.000580 (0.000517) Accuracy 0.902 (0.912) loss_pose: 0.000190 loss_cons: 0.000390 -2023-07-30 16:30:24,331 Test: [0/199] Time 5.840 (5.840) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 16:30:44,262 Test: [100/199] Time 0.203 (0.255) Loss 0.0002 (0.0002) Accuracy 0.932 (0.887) -2023-07-30 16:31:02,914 Test: [198/199] Time 0.140 (0.223) Loss 0.0002 (0.0002) Accuracy 0.939 (0.884) -2023-07-30 16:31:05,053 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 16:31:14,956 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:31:15,003 The Predictions of Net 1 -2023-07-30 16:31:15,004 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:31:15,005 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:31:15,005 | 256x192_pose_dual_101_d256d256d256 | 0.7606 | 0.9355 | 0.8362 | 0.7374 | 0.8013 | 0.7905 | 0.9443 | 0.8591 | 0.7596 | 0.8381 | -2023-07-30 16:31:15,704 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 16:31:20,568 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:31:20,605 The Predictions of Net 2 -2023-07-30 16:31:20,606 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:31:20,606 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:31:20,607 | 256x192_pose_dual_101_d256d256d256 | 0.7633 | 0.9354 | 0.8361 | 0.7370 | 0.8062 | 0.7922 | 0.9449 | 0.8599 | 0.7597 | 0.8418 | -2023-07-30 16:31:21,303 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 16:31:26,075 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:31:26,110 Ensemble Predictions -2023-07-30 16:31:26,111 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:31:26,111 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:31:26,111 | 256x192_pose_dual_101_d256d256d256 | 0.7695 | 0.9357 | 0.8471 | 0.7448 | 0.8105 | 0.7978 | 0.9463 | 0.8656 | 0.7660 | 0.8465 | -2023-07-30 16:31:26,112 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 16:31:35,289 Epoch: [396][0/631] Time 6.138s (6.138s) Speed 5.2 samples/s Data 4.475s (4.475s) Loss 0.000467 (0.000467) Accuracy 0.879 (0.879) loss_pose: 0.000209 loss_cons: 0.000258 -2023-07-30 16:34:09,766 Epoch: [396][100/631] Time 1.518s (1.590s) Speed 21.1 samples/s Data 0.000s (0.045s) Loss 0.000485 (0.000508) Accuracy 0.891 (0.914) loss_pose: 0.000189 loss_cons: 0.000297 -2023-07-30 16:36:42,593 Epoch: [396][200/631] Time 1.521s (1.559s) Speed 21.0 samples/s Data 0.000s (0.023s) Loss 0.000473 (0.000513) Accuracy 0.915 (0.912) loss_pose: 0.000171 loss_cons: 0.000302 -2023-07-30 16:39:18,640 Epoch: [396][300/631] Time 1.517s (1.560s) Speed 21.1 samples/s Data 0.000s (0.015s) Loss 0.000535 (0.000514) Accuracy 0.907 (0.911) loss_pose: 0.000188 loss_cons: 0.000347 -2023-07-30 16:41:53,029 Epoch: [396][400/631] Time 1.524s (1.556s) Speed 21.0 samples/s Data 0.000s (0.012s) Loss 0.000563 (0.000513) Accuracy 0.875 (0.911) loss_pose: 0.000190 loss_cons: 0.000373 -2023-07-30 16:44:28,563 Epoch: [396][500/631] Time 1.522s (1.556s) Speed 21.0 samples/s Data 0.000s (0.009s) Loss 0.000439 (0.000514) Accuracy 0.929 (0.911) loss_pose: 0.000157 loss_cons: 0.000282 -2023-07-30 16:47:04,439 Epoch: [396][600/631] Time 1.614s (1.556s) Speed 19.8 samples/s Data 0.000s (0.008s) Loss 0.000559 (0.000515) Accuracy 0.893 (0.911) loss_pose: 0.000178 loss_cons: 0.000382 -2023-07-30 16:47:52,562 Epoch: [396][630/631] Time 1.599s (1.558s) Speed 20.0 samples/s Data 0.000s (0.007s) Loss 0.000581 (0.000515) Accuracy 0.900 (0.911) loss_pose: 0.000221 loss_cons: 0.000361 -2023-07-30 16:47:59,792 Test: [0/199] Time 5.056 (5.056) Loss 0.0002 (0.0002) Accuracy 0.911 (0.911) -2023-07-30 16:48:20,524 Test: [100/199] Time 0.196 (0.257) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-30 16:48:39,737 Test: [198/199] Time 0.276 (0.227) Loss 0.0002 (0.0002) Accuracy 0.915 (0.883) -2023-07-30 16:48:41,103 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 16:48:52,810 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:48:52,849 The Predictions of Net 1 -2023-07-30 16:48:52,850 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:48:52,850 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:48:52,850 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9354 | 0.8364 | 0.7374 | 0.8015 | 0.7907 | 0.9444 | 0.8597 | 0.7601 | 0.8375 | -2023-07-30 16:48:53,553 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 16:48:58,408 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:48:58,446 The Predictions of Net 2 -2023-07-30 16:48:58,447 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:48:58,448 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:48:58,448 | 256x192_pose_dual_101_d256d256d256 | 0.7639 | 0.9354 | 0.8453 | 0.7360 | 0.8051 | 0.7922 | 0.9447 | 0.8610 | 0.7597 | 0.8417 | -2023-07-30 16:48:59,134 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 16:49:03,928 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 16:49:03,965 Ensemble Predictions -2023-07-30 16:49:03,966 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 16:49:03,967 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 16:49:03,967 | 256x192_pose_dual_101_d256d256d256 | 0.7686 | 0.9358 | 0.8471 | 0.7439 | 0.8107 | 0.7974 | 0.9465 | 0.8649 | 0.7656 | 0.8463 | -2023-07-30 16:49:03,968 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 16:49:12,519 Epoch: [397][0/631] Time 5.626s (5.626s) Speed 5.7 samples/s Data 3.935s (3.935s) Loss 0.000510 (0.000510) Accuracy 0.919 (0.919) loss_pose: 0.000178 loss_cons: 0.000332 -2023-07-30 16:51:48,022 Epoch: [397][100/631] Time 1.590s (1.595s) Speed 20.1 samples/s Data 0.000s (0.039s) Loss 0.000481 (0.000511) Accuracy 0.952 (0.913) loss_pose: 0.000148 loss_cons: 0.000332 -2023-07-30 16:54:22,010 Epoch: [397][200/631] Time 1.606s (1.568s) Speed 19.9 samples/s Data 0.000s (0.020s) Loss 0.000524 (0.000511) Accuracy 0.940 (0.913) loss_pose: 0.000169 loss_cons: 0.000355 -2023-07-30 16:56:56,621 Epoch: [397][300/631] Time 1.526s (1.561s) Speed 21.0 samples/s Data 0.000s (0.013s) Loss 0.000554 (0.000513) Accuracy 0.953 (0.913) loss_pose: 0.000150 loss_cons: 0.000404 -2023-07-30 16:59:29,983 Epoch: [397][400/631] Time 1.519s (1.554s) Speed 21.1 samples/s Data 0.000s (0.010s) Loss 0.000502 (0.000513) Accuracy 0.889 (0.912) loss_pose: 0.000202 loss_cons: 0.000300 -2023-07-30 17:02:03,922 Epoch: [397][500/631] Time 1.620s (1.551s) Speed 19.8 samples/s Data 0.000s (0.008s) Loss 0.000458 (0.000512) Accuracy 0.970 (0.913) loss_pose: 0.000127 loss_cons: 0.000331 -2023-07-30 17:04:39,229 Epoch: [397][600/631] Time 1.511s (1.551s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000566 (0.000514) Accuracy 0.884 (0.913) loss_pose: 0.000188 loss_cons: 0.000377 -2023-07-30 17:05:24,623 Epoch: [397][630/631] Time 1.518s (1.549s) Speed 21.1 samples/s Data 0.000s (0.007s) Loss 0.000567 (0.000514) Accuracy 0.882 (0.913) loss_pose: 0.000187 loss_cons: 0.000380 -2023-07-30 17:05:32,396 Test: [0/199] Time 5.562 (5.562) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 17:05:52,520 Test: [100/199] Time 0.201 (0.255) Loss 0.0002 (0.0002) Accuracy 0.937 (0.887) -2023-07-30 17:06:11,575 Test: [198/199] Time 0.345 (0.225) Loss 0.0002 (0.0002) Accuracy 0.922 (0.884) -2023-07-30 17:06:12,829 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 17:06:22,153 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:06:22,193 The Predictions of Net 1 -2023-07-30 17:06:22,194 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:06:22,194 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:06:22,195 | 256x192_pose_dual_101_d256d256d256 | 0.7603 | 0.9353 | 0.8360 | 0.7374 | 0.8000 | 0.7903 | 0.9441 | 0.8583 | 0.7597 | 0.8375 | -2023-07-30 17:06:22,894 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 17:06:29,955 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:06:29,992 The Predictions of Net 2 -2023-07-30 17:06:29,993 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:06:29,994 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:06:29,994 | 256x192_pose_dual_101_d256d256d256 | 0.7630 | 0.9354 | 0.8448 | 0.7363 | 0.8034 | 0.7917 | 0.9444 | 0.8607 | 0.7595 | 0.8407 | -2023-07-30 17:06:30,685 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 17:06:35,398 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:06:35,431 Ensemble Predictions -2023-07-30 17:06:35,432 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:06:35,432 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:06:35,432 | 256x192_pose_dual_101_d256d256d256 | 0.7693 | 0.9358 | 0.8469 | 0.7449 | 0.8095 | 0.7977 | 0.9462 | 0.8646 | 0.7665 | 0.8457 | -2023-07-30 17:06:35,433 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 17:06:44,212 Epoch: [398][0/631] Time 5.782s (5.782s) Speed 5.5 samples/s Data 4.108s (4.108s) Loss 0.000450 (0.000450) Accuracy 0.923 (0.923) loss_pose: 0.000165 loss_cons: 0.000285 -2023-07-30 17:09:19,055 Epoch: [398][100/631] Time 1.521s (1.590s) Speed 21.0 samples/s Data 0.000s (0.041s) Loss 0.000505 (0.000512) Accuracy 0.936 (0.915) loss_pose: 0.000162 loss_cons: 0.000343 -2023-07-30 17:11:53,331 Epoch: [398][200/631] Time 1.531s (1.567s) Speed 20.9 samples/s Data 0.000s (0.021s) Loss 0.000579 (0.000514) Accuracy 0.917 (0.914) loss_pose: 0.000199 loss_cons: 0.000380 -2023-07-30 17:14:26,605 Epoch: [398][300/631] Time 1.520s (1.555s) Speed 21.1 samples/s Data 0.000s (0.014s) Loss 0.000533 (0.000515) Accuracy 0.916 (0.913) loss_pose: 0.000164 loss_cons: 0.000369 -2023-07-30 17:17:00,496 Epoch: [398][400/631] Time 1.526s (1.551s) Speed 21.0 samples/s Data 0.000s (0.011s) Loss 0.000533 (0.000518) Accuracy 0.926 (0.912) loss_pose: 0.000177 loss_cons: 0.000356 -2023-07-30 17:19:35,506 Epoch: [398][500/631] Time 1.614s (1.551s) Speed 19.8 samples/s Data 0.000s (0.009s) Loss 0.000550 (0.000518) Accuracy 0.883 (0.913) loss_pose: 0.000202 loss_cons: 0.000348 -2023-07-30 17:22:08,998 Epoch: [398][600/631] Time 1.512s (1.548s) Speed 21.2 samples/s Data 0.000s (0.007s) Loss 0.000551 (0.000518) Accuracy 0.901 (0.913) loss_pose: 0.000201 loss_cons: 0.000350 -2023-07-30 17:22:54,292 Epoch: [398][630/631] Time 1.505s (1.547s) Speed 21.3 samples/s Data 0.000s (0.007s) Loss 0.000446 (0.000517) Accuracy 0.930 (0.913) loss_pose: 0.000145 loss_cons: 0.000302 -2023-07-30 17:23:02,483 Test: [0/199] Time 6.254 (6.254) Loss 0.0002 (0.0002) Accuracy 0.913 (0.913) -2023-07-30 17:23:22,149 Test: [100/199] Time 0.202 (0.257) Loss 0.0002 (0.0002) Accuracy 0.932 (0.887) -2023-07-30 17:23:40,852 Test: [198/199] Time 0.160 (0.224) Loss 0.0002 (0.0002) Accuracy 0.930 (0.883) -2023-07-30 17:23:42,410 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 17:23:51,809 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:23:51,849 The Predictions of Net 1 -2023-07-30 17:23:51,850 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:23:51,851 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:23:51,851 | 256x192_pose_dual_101_d256d256d256 | 0.7605 | 0.9354 | 0.8360 | 0.7367 | 0.8017 | 0.7905 | 0.9447 | 0.8589 | 0.7592 | 0.8385 | -2023-07-30 17:23:52,556 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 17:23:57,495 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:23:57,534 The Predictions of Net 2 -2023-07-30 17:23:57,534 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:23:57,535 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:23:57,535 | 256x192_pose_dual_101_d256d256d256 | 0.7629 | 0.9354 | 0.8449 | 0.7362 | 0.8044 | 0.7918 | 0.9436 | 0.8611 | 0.7595 | 0.8411 | -2023-07-30 17:23:58,243 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 17:24:05,270 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:24:05,325 Ensemble Predictions -2023-07-30 17:24:05,326 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:24:05,327 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:24:05,327 | 256x192_pose_dual_101_d256d256d256 | 0.7675 | 0.9358 | 0.8472 | 0.7437 | 0.8098 | 0.7974 | 0.9463 | 0.8649 | 0.7656 | 0.8460 | -2023-07-30 17:24:05,328 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 17:24:13,581 Epoch: [399][0/631] Time 5.260s (5.260s) Speed 6.1 samples/s Data 3.454s (3.454s) Loss 0.000523 (0.000523) Accuracy 0.919 (0.919) loss_pose: 0.000172 loss_cons: 0.000351 -2023-07-30 17:26:48,837 Epoch: [399][100/631] Time 1.518s (1.589s) Speed 21.1 samples/s Data 0.000s (0.035s) Loss 0.000562 (0.000521) Accuracy 0.821 (0.910) loss_pose: 0.000210 loss_cons: 0.000351 -2023-07-30 17:29:23,850 Epoch: [399][200/631] Time 1.525s (1.570s) Speed 21.0 samples/s Data 0.000s (0.018s) Loss 0.000542 (0.000518) Accuracy 0.934 (0.909) loss_pose: 0.000159 loss_cons: 0.000382 -2023-07-30 17:31:58,440 Epoch: [399][300/631] Time 1.518s (1.562s) Speed 21.1 samples/s Data 0.000s (0.012s) Loss 0.000608 (0.000519) Accuracy 0.913 (0.911) loss_pose: 0.000193 loss_cons: 0.000415 -2023-07-30 17:34:33,625 Epoch: [399][400/631] Time 1.533s (1.559s) Speed 20.9 samples/s Data 0.000s (0.009s) Loss 0.000550 (0.000517) Accuracy 0.927 (0.911) loss_pose: 0.000184 loss_cons: 0.000366 -2023-07-30 17:37:07,396 Epoch: [399][500/631] Time 1.552s (1.555s) Speed 20.6 samples/s Data 0.000s (0.007s) Loss 0.000494 (0.000517) Accuracy 0.952 (0.911) loss_pose: 0.000161 loss_cons: 0.000332 -2023-07-30 17:39:40,877 Epoch: [399][600/631] Time 1.505s (1.552s) Speed 21.3 samples/s Data 0.000s (0.006s) Loss 0.000562 (0.000517) Accuracy 0.933 (0.911) loss_pose: 0.000183 loss_cons: 0.000379 -2023-07-30 17:40:26,075 Epoch: [399][630/631] Time 1.509s (1.550s) Speed 21.2 samples/s Data 0.000s (0.006s) Loss 0.000536 (0.000517) Accuracy 0.920 (0.911) loss_pose: 0.000190 loss_cons: 0.000346 -2023-07-30 17:40:33,670 Test: [0/199] Time 5.379 (5.379) Loss 0.0002 (0.0002) Accuracy 0.915 (0.915) -2023-07-30 17:40:54,125 Test: [100/199] Time 0.207 (0.256) Loss 0.0002 (0.0002) Accuracy 0.936 (0.886) -2023-07-30 17:41:12,802 Test: [198/199] Time 0.146 (0.224) Loss 0.0002 (0.0002) Accuracy 0.925 (0.884) -2023-07-30 17:41:13,978 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_1.json -2023-07-30 17:41:18,976 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:41:19,017 The Predictions of Net 1 -2023-07-30 17:41:19,017 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:41:19,017 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:41:19,018 | 256x192_pose_dual_101_d256d256d256 | 0.7614 | 0.9354 | 0.8356 | 0.7374 | 0.8016 | 0.7905 | 0.9449 | 0.8583 | 0.7598 | 0.8378 | -2023-07-30 17:41:19,712 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_2.json -2023-07-30 17:41:24,474 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:41:24,510 The Predictions of Net 2 -2023-07-30 17:41:24,511 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:41:24,511 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:41:24,511 | 256x192_pose_dual_101_d256d256d256 | 0.7621 | 0.9354 | 0.8360 | 0.7366 | 0.8047 | 0.7920 | 0.9441 | 0.8596 | 0.7593 | 0.8417 | -2023-07-30 17:41:25,204 => Writing results json to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/person_keypoints_val2017_eval_3.json -2023-07-30 17:41:29,945 => coco eval results saved to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/results/keypoints_val2017_results.pkl -2023-07-30 17:41:29,979 Ensemble Predictions -2023-07-30 17:41:29,979 | Arch | AP | Ap .5 | AP .75 | AP (M) | AP (L) | AR | AR .5 | AR .75 | AR (M) | AR (L) | -2023-07-30 17:41:29,980 |---|---|---|---|---|---|---|---|---|---|---| -2023-07-30 17:41:29,980 | 256x192_pose_dual_101_d256d256d256 | 0.7686 | 0.9359 | 0.8473 | 0.7461 | 0.8107 | 0.7979 | 0.9468 | 0.8656 | 0.7667 | 0.8460 | -2023-07-30 17:41:29,981 => saving checkpoint to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32 -2023-07-30 17:41:33,187 saving final model state to output/mix_coco_coco/pose_dual_101/256x192_COCO_COCOunlabel_AS_baseline8_e400_b32/final_state.pth.tar