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_BASE_: "../Base-RCNN-FPN.yaml"
MODEL:
META_ARCHITECTURE: "PanopticFPN"
WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
MASK_ON: True
RESNETS:
DEPTH: 50
SEM_SEG_HEAD:
LOSS_WEIGHT: 0.5
DATASETS:
TRAIN: ("coco_2017_val_100_panoptic_separated",)
TEST: ("coco_2017_val_100_panoptic_separated",)
SOLVER:
BASE_LR: 0.005
STEPS: (30,)
MAX_ITER: 40
IMS_PER_BATCH: 4
DATALOADER:
NUM_WORKERS: 1
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