68 lines
1.7 KiB
YAML
68 lines
1.7 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: ("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 # used in dataset mapper
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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 |