MODEL:
  META_ARCHITECTURE: "TensorMask"
  MASK_ON: True
  BACKBONE:
    NAME: "build_retinanet_resnet_fpn_backbone"
  RESNETS:
    OUT_FEATURES: ["res2", "res3", "res4", "res5"]
  ANCHOR_GENERATOR:
    SIZES: [[44, 60], [88, 120], [176, 240], [352, 480], [704, 960], [1408, 1920]]
    ASPECT_RATIOS: [[1.0]]
  FPN:
    IN_FEATURES: ["res2", "res3", "res4", "res5"]
    FUSE_TYPE: "avg"
  TENSOR_MASK:
    ALIGNED_ON: True
    BIPYRAMID_ON: True
DATASETS:
  TRAIN: ("coco_2017_train",)
  TEST: ("coco_2017_val",)
SOLVER:
  IMS_PER_BATCH: 16
  BASE_LR: 0.02
  STEPS: (60000, 80000)
  MAX_ITER: 90000
VERSION: 2