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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_panoptic_stuffonly",)
TEST: ("coco_2017_val_panoptic_stuffonly",)
SOLVER:
BASE_LR: 0.01
WARMUP_FACTOR: 0.001
WARMUP_ITERS: 300
STEPS: (5500,)
MAX_ITER: 7000
TEST:
EXPECTED_RESULTS: [["sem_seg", "mIoU", 76.51, 1.0], ["sem_seg", "mACC", 83.25, 1.0]]
INPUT:
# no scale augmentation
MIN_SIZE_TRAIN: (800, )
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