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- _BASE_: "../Base-RCNN-FPN.yaml"
- MODEL:
- META_ARCHITECTURE: "SemanticSegmentor"
- WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
- RESNETS:
- DEPTH: 50
- DATASETS:
- TRAIN: ("coco_2017_val_100_panoptic_stuffonly",)
- TEST: ("coco_2017_val_100_panoptic_stuffonly",)
- INPUT:
- MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800)
- SOLVER:
- BASE_LR: 0.005
- STEPS: (30,)
- MAX_ITER: 40
- IMS_PER_BATCH: 4
- DATALOADER:
- NUM_WORKERS: 2
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