55 lines
1.4 KiB
YAML
55 lines
1.4 KiB
YAML
MODEL:
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BACKBONE:
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FREEZE_AT: 0
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NAME: "build_resnet_backbone"
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WEIGHTS: "detectron2://ImageNetPretrained/torchvision/R-50.pkl"
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PIXEL_MEAN: [123.675, 116.280, 103.530]
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PIXEL_STD: [58.395, 57.120, 57.375]
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RESNETS:
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DEPTH: 50
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STEM_TYPE: "basic" # not used
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STEM_OUT_CHANNELS: 64
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STRIDE_IN_1X1: False
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OUT_FEATURES: ["res2", "res3", "res4", "res5"]
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# NORM: "SyncBN"
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RES5_MULTI_GRID: [1, 1, 1] # not used
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DATASETS:
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TRAIN: ("coco_2017_train_panoptic_with_sem_seg",)
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TEST_PANOPTIC: ("coco_2017_val_panoptic_with_sem_seg",) # to evaluate instance and semantic performance as well
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TEST_INSTANCE: ("coco_2017_val",)
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TEST_SEMANTIC: ("coco_2017_val_panoptic_with_sem_seg",)
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SOLVER:
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IMS_PER_BATCH: 16
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BASE_LR: 0.0001
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STEPS: (327778, 355092)
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MAX_ITER: 368750
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WARMUP_FACTOR: 1.0
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WARMUP_ITERS: 10
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WEIGHT_DECAY: 0.05
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OPTIMIZER: "ADAMW"
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BACKBONE_MULTIPLIER: 0.1
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CLIP_GRADIENTS:
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ENABLED: True
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CLIP_TYPE: "full_model"
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CLIP_VALUE: 0.01
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NORM_TYPE: 2.0
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AMP:
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ENABLED: True
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INPUT:
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IMAGE_SIZE: 1024
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MIN_SCALE: 0.1
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MAX_SCALE: 2.0
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FORMAT: "RGB"
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DATASET_MAPPER_NAME: "coco_unified_lsj"
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MAX_SEQ_LEN: 77
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TASK_SEQ_LEN: 77
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TASK_PROB:
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SEMANTIC: 0.33
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INSTANCE: 0.66
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TEST:
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EVAL_PERIOD: 5000
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DATALOADER:
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FILTER_EMPTY_ANNOTATIONS: True
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NUM_WORKERS: 4
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VERSION: 2
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