_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, )