# -----------------------------------------------------------------------------
# Train a Mask R-CNN R50-FPN backbone on LVIS instance segmentation with any of
# these weight init: random, imagenet (torchvision), virtex or MoCo.
# -----------------------------------------------------------------------------
_BASE_: "_base_mask_rcnn_R_50_FPN.yaml"

DATASETS:
  TRAIN: ("coco_2017_train",)
  TEST: ("coco_2017_val",)

MODEL:
  MASK_ON: True
  # FPN also has SyncBN, as opposed to no norm (usually).
  FPN:
    NORM: "SyncBN"
  
  # This will be ignored, weights will be loaded manually in the script.
  WEIGHTS: ""
  
SOLVER:
  STEPS: (120000, 160000)
  MAX_ITER: 180000
  
VERSION: 2