MODEL:
  META_ARCHITECTURE: "CenterNetDetector"
  PROPOSAL_GENERATOR:
    NAME: "CenterNet"
  BACKBONE:
    NAME: "build_p67_resnet_fpn_backbone"
  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
  RESNETS:
    DEPTH: 50
    OUT_FEATURES: ["res3", "res4", "res5"]
  FPN:
    IN_FEATURES: ["res3", "res4", "res5"]
DATASETS:
  TRAIN: ("coco_2017_train",)
  TEST: ("coco_2017_val",)
SOLVER:
  IMS_PER_BATCH: 16
  BASE_LR: 0.01
  STEPS: (60000, 80000)
  MAX_ITER: 90000
  CHECKPOINT_PERIOD: 1000000000
  WARMUP_ITERS: 4000
  WARMUP_FACTOR: 0.00025
  CLIP_GRADIENTS:
    ENABLED: True
INPUT:
  MIN_SIZE_TRAIN: (640, 672, 704, 736, 768, 800)
OUTPUT_DIR: "./output/CenterNet2/auto"