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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" |
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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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|
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RES5_MULTI_GRID: [1, 1, 1] |
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DATASETS: |
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TRAIN: ("ade20k_panoptic_train",) |
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TEST_PANOPTIC: ("ade20k_panoptic_val",) |
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TEST_INSTANCE: ("ade20k_instance_val",) |
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TEST_SEMANTIC: ("ade20k_sem_seg_val",) |
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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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MAX_ITER: 160000 |
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WARMUP_FACTOR: 1.0 |
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WARMUP_ITERS: 0 |
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WEIGHT_DECAY: 0.05 |
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OPTIMIZER: "ADAMW" |
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LR_SCHEDULER_NAME: "WarmupPolyLR" |
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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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MIN_SIZE_TRAIN: !!python/object/apply:eval ["[int(x * 0.1 * 512) for x in range(5, 21)]"] |
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MIN_SIZE_TRAIN_SAMPLING: "choice" |
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MIN_SIZE_TEST: 512 |
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MAX_SIZE_TRAIN: 2048 |
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MAX_SIZE_TEST: 2048 |
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CROP: |
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ENABLED: True |
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TYPE: "absolute" |
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SIZE: (512, 512) |
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SINGLE_CATEGORY_MAX_AREA: 1.0 |
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COLOR_AUG_SSD: True |
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SIZE_DIVISIBILITY: 512 |
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FORMAT: "RGB" |
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DATASET_MAPPER_NAME: "oneformer_unified" |
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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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AUG: |
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ENABLED: False |
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MIN_SIZES: [256, 384, 512, 640, 768, 896] |
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MAX_SIZE: 3584 |
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FLIP: True |
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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 |
