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| _BASE_: Base-unsup-vidseg.yaml | |
| MODEL: | |
| BACKBONE: | |
| FREEZE_AT: 0 | |
| NAME: "build_resnet_backbone" | |
| WEIGHTS: "detectron2://ImageNetPretrained/torchvision/R-50.pkl" | |
| PIXEL_MEAN: [123.675, 116.280, 103.530] | |
| PIXEL_STD: [58.395, 57.120, 57.375] | |
| RESNETS: | |
| DEPTH: 50 | |
| STEM_TYPE: "basic" # not used | |
| STEM_OUT_CHANNELS: 64 | |
| STRIDE_IN_1X1: False | |
| OUT_FEATURES: ["res2", "res3", "res4", "res5"] | |
| # NORM: "SyncBN" | |
| RES5_MULTI_GRID: [1, 1, 1] # not used | |
| DATASETS: | |
| TRAIN: ("ade20k_sem_seg_train",) | |
| TEST: ("ade20k_sem_seg_val",) | |
| SOLVER: | |
| IMS_PER_BATCH: 16 | |
| BASE_LR: 0.0001 | |
| MAX_ITER: 160000 | |
| WARMUP_FACTOR: 1.0 | |
| WARMUP_ITERS: 0 | |
| WEIGHT_DECAY: 0.0001 | |
| OPTIMIZER: "ADAMW" | |
| LR_SCHEDULER_NAME: "WarmupPolyLR" | |
| BACKBONE_MULTIPLIER: 0.1 | |
| CLIP_GRADIENTS: | |
| ENABLED: True | |
| CLIP_TYPE: "full_model" | |
| CLIP_VALUE: 0.01 | |
| NORM_TYPE: 2.0 | |
| INPUT: | |
| MIN_SIZE_TRAIN: !!python/object/apply:eval ["[int(x * 0.1 * 512) for x in range(5, 21)]"] | |
| MIN_SIZE_TRAIN_SAMPLING: "choice" | |
| MIN_SIZE_TEST: 512 | |
| MAX_SIZE_TRAIN: 2048 | |
| MAX_SIZE_TEST: 2048 | |
| CROP: | |
| ENABLED: True | |
| TYPE: "absolute" | |
| SIZE: (512, 512) | |
| SINGLE_CATEGORY_MAX_AREA: 1.0 | |
| COLOR_AUG_SSD: True | |
| SIZE_DIVISIBILITY: 512 # used in dataset mapper | |
| FORMAT: "RGB" | |
| DATASET_MAPPER_NAME: "mask_former_semantic" | |
| TEST: | |
| EVAL_PERIOD: 5000 | |
| AUG: | |
| ENABLED: False | |
| MIN_SIZES: [256, 384, 512, 640, 768, 896] | |
| MAX_SIZE: 3584 | |
| FLIP: True | |
| DATALOADER: | |
| FILTER_EMPTY_ANNOTATIONS: True | |
| NUM_WORKERS: 10 | |
| VERSION: 2 | |