_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_panoptic_separated",)
  TEST: ("coco_2017_val_panoptic_separated",)
SOLVER:
  BASE_LR: 0.01
  WARMUP_FACTOR: 0.001
  WARMUP_ITERS: 500
  STEPS: (5500,)
  MAX_ITER: 7000
TEST:
  EXPECTED_RESULTS: [["bbox", "AP", 46.70, 1.1], ["segm", "AP", 39.0, 0.7], ["sem_seg", "mIoU", 64.73, 1.3], ["panoptic_seg", "PQ", 48.13, 0.8]]