text: MODEL:
    TYPE: generalized_rcnn
    CONV_BODY: FPN.add_fpn_ResNet50_conv5_body
    NUM_CLASSES: 2
    RPN_ONLY: True
  NUM_GPUS: 8
  SOLVER:
    WEIGHT_DECAY: 0.0001
    LR_POLICY: steps_with_decay
    BASE_LR: 0.02
    GAMMA: 0.1
    MAX_ITER: 90000
    STEPS: [0, 60000, 80000]
  FPN:
    FPN_ON: True
    MULTILEVEL_RPN: True
    RPN_MAX_LEVEL: 6
    RPN_MIN_LEVEL: 2
    RPN_ANCHOR_START_SIZE: 32
    RPN_ASPECT_RATIOS: (0.5, 1, 2)
  TRAIN:
    WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
    DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival')
    SCALES: (800,)
    MAX_SIZE: 1333
  TEST:
    DATASETS: ('keypoints_coco_2014_minival', 'keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival', 'keypoints_coco_2015_test')
    SCALE: 800
    MAX_SIZE: 1333
    RPN_PRE_NMS_TOP_N: 1000  # Per FPN level
    RPN_POST_NMS_TOP_N: 2000
  OUTPUT_DIR: .
  