transfiner / configs /quick_schedules /semantic_R_50_FPN_instant_test.yaml
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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