ubteacher/data/build.py [63:80]:
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    dataset_dicts = get_detection_dataset_dicts(
        cfg.DATASETS.TRAIN,
        filter_empty=cfg.DATALOADER.FILTER_EMPTY_ANNOTATIONS,
        min_keypoints=cfg.MODEL.ROI_KEYPOINT_HEAD.MIN_KEYPOINTS_PER_IMAGE
        if cfg.MODEL.KEYPOINT_ON
        else 0,
        proposal_files=cfg.DATASETS.PROPOSAL_FILES_TRAIN
        if cfg.MODEL.LOAD_PROPOSALS
        else None,
    )

    # Divide into labeled and unlabeled sets according to supervision percentage
    label_dicts, unlabel_dicts = divide_label_unlabel(
        dataset_dicts,
        cfg.DATALOADER.SUP_PERCENT,
        cfg.DATALOADER.RANDOM_DATA_SEED,
        cfg.DATALOADER.RANDOM_DATA_SEED_PATH,
    )
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ubteacher/data/build.py [171:188]:
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        dataset_dicts = get_detection_dataset_dicts(
            cfg.DATASETS.TRAIN,
            filter_empty=cfg.DATALOADER.FILTER_EMPTY_ANNOTATIONS,
            min_keypoints=cfg.MODEL.ROI_KEYPOINT_HEAD.MIN_KEYPOINTS_PER_IMAGE
            if cfg.MODEL.KEYPOINT_ON
            else 0,
            proposal_files=cfg.DATASETS.PROPOSAL_FILES_TRAIN
            if cfg.MODEL.LOAD_PROPOSALS
            else None,
        )

        # Divide into labeled and unlabeled sets according to supervision percentage
        label_dicts, unlabel_dicts = divide_label_unlabel(
            dataset_dicts,
            cfg.DATALOADER.SUP_PERCENT,
            cfg.DATALOADER.RANDOM_DATA_SEED,
            cfg.DATALOADER.RANDOM_DATA_SEED_PATH,
        )
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