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_BASE_: "../Base-RCNN-C4.yaml"
MODEL:
WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 256
MASK_ON: True
DATASETS:
TRAIN: ("coco_2017_val",)
TEST: ("coco_2017_val",)
INPUT:
MIN_SIZE_TRAIN: (600,)
MAX_SIZE_TRAIN: 1000
MIN_SIZE_TEST: 800
MAX_SIZE_TEST: 1000
SOLVER:
IMS_PER_BATCH: 8 # base uses 16
WARMUP_FACTOR: 0.33333
WARMUP_ITERS: 100
STEPS: (11000, 11600)
MAX_ITER: 12000
TEST:
EXPECTED_RESULTS: [["bbox", "AP", 41.88, 0.7], ["segm", "AP", 33.79, 0.5]]
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