oneformer_swin_large_bs16_160k_896x896.yaml

_BASE_: ../oneformer_R50_bs16_160k.yaml
MODEL:
  BACKBONE:
    NAME: "D2SwinTransformer"
  SWIN:
    EMBED_DIM: 192
    DEPTHS: [2, 2, 18, 2]
    NUM_HEADS: [6, 12, 24, 48]
    WINDOW_SIZE: 12
    APE: False
    DROP_PATH_RATE: 0.3
    PATCH_NORM: True
    PRETRAIN_IMG_SIZE: 384
  WEIGHTS: "swin_large_patch4_window12_384_22kto1k.pkl"
  PIXEL_MEAN: [123.675, 116.280, 103.530]
  PIXEL_STD: [58.395, 57.120, 57.375]
  ONE_FORMER:
    NUM_OBJECT_QUERIES: 250
INPUT:
  MIN_SIZE_TRAIN: !!python/object/apply:eval ["[int(x * 0.1 * 896) for x in range(5, 21)]"]
  MIN_SIZE_TRAIN_SAMPLING: "choice"
  MIN_SIZE_TEST: 896
  MAX_SIZE_TRAIN: 3584
  MAX_SIZE_TEST: 3584
  CROP:
    ENABLED: True
    TYPE: "absolute"
    SIZE: (896, 896)
    SINGLE_CATEGORY_MAX_AREA: 1.0
  COLOR_AUG_SSD: True
  SIZE_DIVISIBILITY: 896  # used in dataset mapper
  FORMAT: "RGB"
TEST:
  DETECTIONS_PER_IMAGE: 250
  EVAL_PERIOD: 5000
  AUG:
    ENABLED: False
    MIN_SIZES: [448, 678, 896, 1120, 1344, 1568]
    MAX_SIZE: 6272
    FLIP: True