configs/voc/voc07_voc12.yaml [1:32]:
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_BASE_: "../Base-RCNN-FPN.yaml"
MODEL:
  META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN"
  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
  MASK_ON: False
  RESNETS:
    DEPTH: 50
  PROPOSAL_GENERATOR:
    NAME: "PseudoLabRPN"
  RPN:
    POSITIVE_FRACTION: 0.25
    LOSS: "CrossEntropy"
  ROI_HEADS:
    NAME: "StandardROIHeadsPseudoLab"
    LOSS: "FocalLoss"
    NUM_CLASSES: 20
INPUT:
  MIN_SIZE_TRAIN: (480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800)
  MIN_SIZE_TEST: 600
SOLVER:
  LR_SCHEDULER_NAME: "WarmupMultiStepLR"
  STEPS: (179990, 179995)
  MAX_ITER: 180000
  IMG_PER_BATCH_LABEL: 16
  IMG_PER_BATCH_UNLABEL: 16
  BASE_LR: 0.01
DATALOADER:
  SUP_PERCENT: 100.0
DATASETS:
  CROSS_DATASET: True
  TRAIN: ("voc_2012_trainval",)
  TRAIN_LABEL: ("voc_2007_trainval",)
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configs/voc/voc07_voc12coco20.yaml [1:32]:
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_BASE_: "../Base-RCNN-FPN.yaml"
MODEL:
  META_ARCHITECTURE: "TwoStagePseudoLabGeneralizedRCNN"
  WEIGHTS: "detectron2://ImageNetPretrained/MSRA/R-50.pkl"
  MASK_ON: False
  RESNETS:
    DEPTH: 50
  PROPOSAL_GENERATOR:
    NAME: "PseudoLabRPN"
  RPN:
    POSITIVE_FRACTION: 0.25
    LOSS: "CrossEntropy"
  ROI_HEADS:
    NAME: "StandardROIHeadsPseudoLab"
    LOSS: "FocalLoss"
    NUM_CLASSES: 20
INPUT:
  MIN_SIZE_TRAIN: (480, 512, 544, 576, 608, 640, 672, 704, 736, 768, 800)
  MIN_SIZE_TEST: 600
SOLVER:
  LR_SCHEDULER_NAME: "WarmupMultiStepLR"
  STEPS: (179990, 179995)
  MAX_ITER: 180000
  IMG_PER_BATCH_LABEL: 16
  IMG_PER_BATCH_UNLABEL: 16
  BASE_LR: 0.01
DATALOADER:
  SUP_PERCENT: 100.0
DATASETS:
  CROSS_DATASET: True
  TRAIN: ("voc_2012_trainval",)
  TRAIN_LABEL: ("voc_2007_trainval",)
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