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  1. config.yml +323 -0
  2. model.pth +3 -0
config.yml ADDED
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+ CUDNN_BENCHMARK: false
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+ DATALOADER:
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+ ASPECT_RATIO_GROUPING: true
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+ FILTER_EMPTY_ANNOTATIONS: true
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+ NUM_WORKERS: 8
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+ REPEAT_SQRT: true
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+ REPEAT_THRESHOLD: 0.0
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+ SAMPLER_TRAIN: TrainingSampler
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+ DATASETS:
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+ PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000
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+ PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000
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+ PROPOSAL_FILES_TEST: []
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+ PROPOSAL_FILES_TRAIN: []
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+ TEST:
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+ - coco_2017_val
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+ TRAIN:
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+ - train_ds
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+ GLOBAL:
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+ HACK: 1.0
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+ INPUT:
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+ CROP:
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+ ENABLED: false
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+ SIZE:
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+ - 0.9
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+ - 0.9
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+ TYPE: relative_range
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+ FORMAT: BGR
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+ MASK_FORMAT: polygon
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+ MAX_SIZE_TEST: 1026
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+ MAX_SIZE_TRAIN: 1026
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+ MIN_SIZE_TEST: 770
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+ MIN_SIZE_TRAIN:
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+ - 770
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+ MIN_SIZE_TRAIN_SAMPLING: choice
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+ RANDOM_FLIP: horizontal
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+ MODEL:
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+ ANCHOR_GENERATOR:
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+ ANGLES:
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+ - - -90
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+ - 0
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+ - 90
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+ ASPECT_RATIOS:
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+ - - 0.5
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+ - 1.0
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+ - 2.0
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+ NAME: DefaultAnchorGenerator
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+ OFFSET: 0.0
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+ SIZES:
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+ - - 32
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+ - - 64
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+ - - 128
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+ - - 256
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+ - - 512
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+ BACKBONE:
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+ FREEZE_AT: 2
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+ NAME: build_resnet_fpn_backbone
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+ DEVICE: cuda
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+ FPN:
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+ FUSE_TYPE: sum
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+ IN_FEATURES:
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+ - res2
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+ - res3
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+ - res4
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+ - res5
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+ NORM: ''
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+ OUT_CHANNELS: 256
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+ KEYPOINT_ON: false
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+ LOAD_PROPOSALS: false
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+ MASK_ON: false
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+ META_ARCHITECTURE: GeneralizedRCNN
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+ PANOPTIC_FPN:
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+ COMBINE:
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+ ENABLED: true
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+ INSTANCES_CONFIDENCE_THRESH: 0.5
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+ OVERLAP_THRESH: 0.5
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+ STUFF_AREA_LIMIT: 4096
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+ INSTANCE_LOSS_WEIGHT: 1.0
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+ PIXEL_MEAN:
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+ - 103.53
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+ - 116.28
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+ - 123.675
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+ PIXEL_STD:
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+ - 57.375
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+ - 57.12
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+ - 58.395
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+ PROPOSAL_GENERATOR:
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+ MIN_SIZE: 0
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+ NAME: RPN
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+ RESNETS:
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+ DEFORM_MODULATED: false
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+ DEFORM_NUM_GROUPS: 1
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+ DEFORM_ON_PER_STAGE:
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+ - false
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+ - false
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+ - false
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+ - false
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+ DEPTH: 101
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+ NORM: FrozenBN
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+ NUM_GROUPS: 32
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+ OUT_FEATURES:
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+ - res2
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+ - res3
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+ - res4
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+ - res5
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+ RES2_OUT_CHANNELS: 256
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+ RES5_DILATION: 1
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+ STEM_OUT_CHANNELS: 64
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+ STRIDE_IN_1X1: false
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+ WIDTH_PER_GROUP: 8
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+ RETINANET:
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+ BBOX_REG_LOSS_TYPE: smooth_l1
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+ BBOX_REG_WEIGHTS: &id002
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+ - 1.0
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+ - 1.0
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+ - 1.0
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+ - 1.0
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+ FOCAL_LOSS_ALPHA: 0.25
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+ FOCAL_LOSS_GAMMA: 2.0
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+ IN_FEATURES:
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+ - p3
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+ - p4
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+ - p5
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+ - p6
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+ - p7
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+ IOU_LABELS:
126
+ - 0
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+ - -1
128
+ - 1
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+ IOU_THRESHOLDS:
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+ - 0.4
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+ - 0.5
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+ NMS_THRESH_TEST: 0.5
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+ NORM: ''
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+ NUM_CLASSES: 80
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+ NUM_CONVS: 4
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+ PRIOR_PROB: 0.01
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+ SCORE_THRESH_TEST: 0.05
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+ SMOOTH_L1_LOSS_BETA: 0.1
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+ TOPK_CANDIDATES_TEST: 1000
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+ ROI_BOX_CASCADE_HEAD:
141
+ BBOX_REG_WEIGHTS:
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+ - &id001
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+ - 10.0
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+ - 10.0
145
+ - 5.0
146
+ - 5.0
147
+ - - 20.0
148
+ - 20.0
149
+ - 10.0
150
+ - 10.0
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+ - - 30.0
152
+ - 30.0
153
+ - 15.0
154
+ - 15.0
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+ IOUS:
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+ - 0.5
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+ - 0.6
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+ - 0.7
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+ ROI_BOX_HEAD:
160
+ BBOX_REG_LOSS_TYPE: smooth_l1
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+ BBOX_REG_LOSS_WEIGHT: 1.0
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+ BBOX_REG_WEIGHTS: *id001
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+ CLS_AGNOSTIC_BBOX_REG: false
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+ CONV_DIM: 256
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+ FC_DIM: 1024
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+ FED_LOSS_FREQ_WEIGHT_POWER: 0.5
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+ FED_LOSS_NUM_CLASSES: 50
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+ NAME: FastRCNNConvFCHead
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+ NORM: ''
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+ NUM_CONV: 0
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+ NUM_FC: 2
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+ POOLER_RESOLUTION: 7
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+ POOLER_SAMPLING_RATIO: 0
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+ POOLER_TYPE: ROIAlignV2
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+ SMOOTH_L1_BETA: 0.0
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+ TRAIN_ON_PRED_BOXES: false
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+ USE_FED_LOSS: false
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+ USE_SIGMOID_CE: false
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+ ROI_HEADS:
180
+ BATCH_SIZE_PER_IMAGE: 256
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+ IN_FEATURES:
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+ - p2
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+ - p3
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+ - p4
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+ - p5
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+ IOU_LABELS:
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+ - 0
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+ - 1
189
+ IOU_THRESHOLDS:
190
+ - 0.5
191
+ NAME: StandardROIHeads
192
+ NMS_THRESH_TEST: 0.5
193
+ NUM_CLASSES: 85
194
+ POSITIVE_FRACTION: 0.25
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+ PROPOSAL_APPEND_GT: true
196
+ SCORE_THRESH_TEST: 0.2
197
+ ROI_KEYPOINT_HEAD:
198
+ CONV_DIMS:
199
+ - 512
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+ - 512
201
+ - 512
202
+ - 512
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+ - 512
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+ - 512
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+ - 512
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+ - 512
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+ LOSS_WEIGHT: 1.0
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+ MIN_KEYPOINTS_PER_IMAGE: 1
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+ NAME: KRCNNConvDeconvUpsampleHead
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+ NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true
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+ NUM_KEYPOINTS: 17
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+ POOLER_RESOLUTION: 14
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+ POOLER_SAMPLING_RATIO: 0
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+ POOLER_TYPE: ROIAlignV2
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+ ROI_MASK_HEAD:
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+ CLS_AGNOSTIC_MASK: false
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+ CONV_DIM: 256
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+ NAME: MaskRCNNConvUpsampleHead
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+ NORM: ''
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+ NUM_CONV: 4
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+ POOLER_RESOLUTION: 14
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+ POOLER_SAMPLING_RATIO: 0
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+ POOLER_TYPE: ROIAlignV2
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+ RPN:
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+ BATCH_SIZE_PER_IMAGE: 256
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+ BBOX_REG_LOSS_TYPE: smooth_l1
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+ BBOX_REG_LOSS_WEIGHT: 1.0
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+ BBOX_REG_WEIGHTS: *id002
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+ BOUNDARY_THRESH: -1
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+ CONV_DIMS:
231
+ - -1
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+ HEAD_NAME: StandardRPNHead
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+ IN_FEATURES:
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+ - p2
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+ - p3
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+ - p4
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+ - p5
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+ - p6
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+ IOU_LABELS:
240
+ - 0
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+ - -1
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+ - 1
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+ IOU_THRESHOLDS:
244
+ - 0.3
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+ - 0.7
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+ LOSS_WEIGHT: 1.0
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+ NMS_THRESH: 0.7
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+ POSITIVE_FRACTION: 0.5
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+ POST_NMS_TOPK_TEST: 1000
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+ POST_NMS_TOPK_TRAIN: 1000
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+ PRE_NMS_TOPK_TEST: 1000
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+ PRE_NMS_TOPK_TRAIN: 2000
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+ SMOOTH_L1_BETA: 0.0
254
+ SEM_SEG_HEAD:
255
+ COMMON_STRIDE: 4
256
+ CONVS_DIM: 128
257
+ IGNORE_VALUE: 255
258
+ IN_FEATURES:
259
+ - p2
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+ - p3
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+ - p4
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+ - p5
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+ LOSS_WEIGHT: 1.0
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+ NAME: SemSegFPNHead
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+ NORM: GN
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+ NUM_CLASSES: 54
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+ WEIGHTS: /content/drive/MyDrive/diopsis_coco_split_flowers/results/model_0004999.pth
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+ OUTPUT_DIR: /content/drive/MyDrive/diopsis_coco_split_flowers/results
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+ SEED: -1
270
+ SOLVER:
271
+ AMP:
272
+ ENABLED: false
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+ BASE_LR: 0.00025
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+ BASE_LR_END: 0.0
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+ BIAS_LR_FACTOR: 1.0
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+ CHECKPOINT_PERIOD: 5000
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+ CLIP_GRADIENTS:
278
+ CLIP_TYPE: value
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+ CLIP_VALUE: 1.0
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+ ENABLED: false
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+ NORM_TYPE: 2.0
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+ GAMMA: 0.1
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+ IMS_PER_BATCH: 4
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+ LR_SCHEDULER_NAME: WarmupMultiStepLR
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+ MAX_ITER: 9000
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+ MOMENTUM: 0.9
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+ NESTEROV: false
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+ NUM_DECAYS: 3
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+ REFERENCE_WORLD_SIZE: 0
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+ RESCALE_INTERVAL: false
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+ STEPS:
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+ - 210000
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+ - 250000
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+ WARMUP_FACTOR: 0.001
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+ WARMUP_ITERS: 1000
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+ WARMUP_METHOD: linear
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+ WEIGHT_DECAY: 0.0001
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+ WEIGHT_DECAY_BIAS: null
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+ WEIGHT_DECAY_NORM: 0.0
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+ TEST:
301
+ AUG:
302
+ ENABLED: false
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+ FLIP: true
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+ MAX_SIZE: 4000
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+ MIN_SIZES:
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+ - 400
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+ - 500
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+ - 600
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+ - 700
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+ - 800
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+ - 900
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+ - 1000
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+ - 1100
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+ - 1200
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+ DETECTIONS_PER_IMAGE: 100
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+ EVAL_PERIOD: 0
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+ EXPECTED_RESULTS: []
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+ KEYPOINT_OKS_SIGMAS: []
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+ PRECISE_BN:
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+ ENABLED: false
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+ NUM_ITER: 200
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+ VERSION: 2
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+ VIS_PERIOD: 0
model.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:89ee0e6fb59582d6969314a0bda01136d420b0fa5dec91f1fd5a73aa9a0b93f7
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+ size 838641264