diffdet.coco.res50.300boxes.yaml

_BASE_: "Base-DiffusionDet.yaml"
MODEL:
  WEIGHTS: "detectron2://ImageNetPretrained/torchvision/R-50.pkl"
  RESNETS:
    DEPTH: 50
    STRIDE_IN_1X1: False
  DiffusionDet:
    NUM_PROPOSALS: 300
    NUM_CLASSES: 80
DATASETS:
  TRAIN: ("coco_2017_train",)
  TEST:  ("coco_2017_val",)
SOLVER:
  STEPS: (350000, 420000)
  MAX_ITER: 450000
INPUT:
  CROP:
    ENABLED: True
  FORMAT: "RGB"