configs/ade20k-150/swin/maskformer_swin_base_IN21k_384_bs16_160k_res640.yaml [15:45]:
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  PIXEL_MEAN: [123.675, 116.280, 103.530]
  PIXEL_STD: [58.395, 57.120, 57.375]
SOLVER:
  BASE_LR: 0.00006
  WARMUP_FACTOR: 1e-6
  WARMUP_ITERS: 1500
  WEIGHT_DECAY: 0.01
  WEIGHT_DECAY_NORM: 0.0
  WEIGHT_DECAY_EMBED: 0.0
  BACKBONE_MULTIPLIER: 1.0
INPUT:
  MIN_SIZE_TRAIN: !!python/object/apply:eval ["[int(x * 0.1 * 640) for x in range(5, 21)]"]
  MIN_SIZE_TRAIN_SAMPLING: "choice"
  MIN_SIZE_TEST: 640
  MAX_SIZE_TRAIN: 2560
  MAX_SIZE_TEST: 2560
  CROP:
    ENABLED: True
    TYPE: "absolute"
    SIZE: (640, 640)
    SINGLE_CATEGORY_MAX_AREA: 1.0
  COLOR_AUG_SSD: True
  SIZE_DIVISIBILITY: 640  # used in dataset mapper
  FORMAT: "RGB"
TEST:
  EVAL_PERIOD: 5000
  AUG:
    ENABLED: False
    MIN_SIZES: [320, 480, 640, 800, 960, 1120]
    MAX_SIZE: 4480
    FLIP: True
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configs/ade20k-150/swin/maskformer_swin_large_IN21k_384_bs16_160k_res640.yaml [15:45]:
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  PIXEL_MEAN: [123.675, 116.280, 103.530]
  PIXEL_STD: [58.395, 57.120, 57.375]
SOLVER:
  BASE_LR: 0.00006
  WARMUP_FACTOR: 1e-6
  WARMUP_ITERS: 1500
  WEIGHT_DECAY: 0.01
  WEIGHT_DECAY_NORM: 0.0
  WEIGHT_DECAY_EMBED: 0.0
  BACKBONE_MULTIPLIER: 1.0
INPUT:
  MIN_SIZE_TRAIN: !!python/object/apply:eval ["[int(x * 0.1 * 640) for x in range(5, 21)]"]
  MIN_SIZE_TRAIN_SAMPLING: "choice"
  MIN_SIZE_TEST: 640
  MAX_SIZE_TRAIN: 2560
  MAX_SIZE_TEST: 2560
  CROP:
    ENABLED: True
    TYPE: "absolute"
    SIZE: (640, 640)
    SINGLE_CATEGORY_MAX_AREA: 1.0
  COLOR_AUG_SSD: True
  SIZE_DIVISIBILITY: 640  # used in dataset mapper
  FORMAT: "RGB"
TEST:
  EVAL_PERIOD: 5000
  AUG:
    ENABLED: False
    MIN_SIZES: [320, 480, 640, 800, 960, 1120]
    MAX_SIZE: 4480
    FLIP: True
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