MODEL:
  META_ARCHITECTURE: "ATSS"
  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
  BACKBONE:
    NAME: "build_retinanet_resnet_fpn_dyhead_backbone"
  RESNETS:
    DEPTH: 50
    OUT_FEATURES: ["res3", "res4", "res5"]
  FPN:
    IN_FEATURES: ["res3", "res4", "res5"]
  DYHEAD:
    NUM_CONVS: 6
    CHANNELS: 256
  ANCHOR_GENERATOR:
    SIZES: !!python/object/apply:eval ["[[x*2,] for x in [32, 64, 128, 256, 512 ]]"]
    ASPECT_RATIOS: [1.0,]
    OFFSET: 0.5
  ATSS:
    NUM_CONVS: 0
DATASETS:
  TRAIN: ("coco_2017_train",)
  TEST: ("coco_2017_val",)
SOLVER:
  IMS_PER_BATCH: 16
  BASE_LR: 0.01
  STEPS: (60000, 80000)
  MAX_ITER: 90000
VERSION: 2