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_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_22k.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 * 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:
DETECTIONS_PER_IMAGE: 250
EVAL_PERIOD: 5000
AUG:
ENABLED: False
MIN_SIZES: [320, 480, 640, 800, 960, 1120]
MAX_SIZE: 4480
FLIP: True
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