retinanet_R_50_FPN_3x_baseline.yaml

_BASE_: "./Base-RetinaNet.yaml"
MODEL:
  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
  RESNETS:
    DEPTH: 50
  RETINANET:
    NUM_CLASSES: 81
    NUM_KNOWN_CLASSES: 20
DATASETS:
  TRAIN: ('voc_2007_train', 'voc_2012_trainval')
  TEST: ('voc_2007_test', 'voc_coco_20_40_test', 'voc_coco_20_60_test', 'voc_coco_20_80_test', 'voc_coco_2500_test', 'voc_coco_5000_test', 'voc_coco_10000_test', 'voc_coco_20000_test')
SOLVER:
  STEPS: (21000, 29000)
  MAX_ITER: 32000
  WARMUP_ITERS: 1000
  AMP:
    ENABLED: True