MODEL:
  TYPE: rpn
  CONV_BODY: ResNet.add_ResNet50_conv4_body
  NUM_CLASSES: 81
  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]
RPN:
  SIZES: (32, 64, 128, 256, 512)
TRAIN:
  WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
  DATASETS: ('coco_2014_train', 'coco_2014_valminusminival')
  SCALES: (800,)
  MAX_SIZE: 1333
TEST:
  DATASETS: ('coco_2014_minival','coco_2014_train','coco_2014_valminusminival')
  SCALE: 800
  MAX_SIZE: 1333
USE_NCCL: False
OUTPUT_DIR: .
