04143b146fe6280266ad72865522dd5396583d73,chainercv/datasets/sbd/sbd_utils.py,,get_sbd,#,31

Before Change

def get_sbd():
    data_root = download.get_dataset_directory(root)
    base_path = os.path.join(data_root, "benchmark_RELEASE/dataset")

    train_voc2012_file = os.path.join(base_path, "train_voc2012.txt")
    if os.path.exists(train_voc2012_file):
        // skip downloading
        return base_path

    download_file_path = utils.cached_download(url)
    ext = os.path.splitext(url)[1]
    utils.extractall(download_file_path, data_root, ext)

    six.moves.urllib.request.urlretrieve(train_voc2012_url, train_voc2012_file)
    _generate_voc2012_txt(base_path)

After Change

def get_sbd():
    data_root = download.get_dataset_directory(root)
    // To support ChainerMN, the target directory should be locked.
    with filelock.FileLock(os.path.join(data_root, "lock")):
        base_path = os.path.join(data_root, "benchmark_RELEASE/dataset")

        train_voc2012_file = os.path.join(base_path, "train_voc2012.txt")
        if os.path.exists(train_voc2012_file):
            // skip downloading
            return base_path

        download_file_path = utils.cached_download(url)
        ext = os.path.splitext(url)[1]
        utils.extractall(download_file_path, data_root, ext)

        six.moves.urllib.request.urlretrieve(
            train_voc2012_url, train_voc2012_file)
        _generate_voc2012_txt(base_path)

    return base_path


sbd_instance_segmentation_label_names = voc_instance_segmentation_label_names

Instances