def create_kitti_info_file()

in a2d2/a2d2_converter.py [0:0]

• 38 lines of code
• 2 McCabe index (conditional complexity)

def create_kitti_info_file(data_path,
                           pkl_prefix='kitti',
                           save_path=None,
                           relative_path=True):
    """Create info file of KITTI dataset.
    Given the raw data, generate its related info file in pkl format.
    Args:
        data_path (str): Path of the data root.
        pkl_prefix (str): Prefix of the info file to be generated.
        save_path (str): Path to save the info file.
        relative_path (bool): Whether to use relative path.
    """
    imageset_folder = Path(data_path) / 'ImageSets'
    train_img_ids = _read_imageset_file(str(imageset_folder / 'train.txt'))
    val_img_ids = _read_imageset_file(str(imageset_folder / 'val.txt'))
    test_img_ids = _read_imageset_file(str(imageset_folder / 'test.txt'))

    print('Generate info. this may take several minutes.')
    if save_path is None:
        save_path = Path(data_path)
    else:
        save_path = Path(save_path)
    kitti_infos_train = get_kitti_image_info(
        data_path,
        training=True,
        velodyne=True,
        calib=True,
        image_ids=train_img_ids,
        relative_path=relative_path)
    _calculate_num_points_in_gt(data_path, kitti_infos_train, relative_path)
    filename = save_path / f'{pkl_prefix}_infos_train.pkl'
    print(f'Kitti info train file is saved to {filename}')
    mmcv.dump(kitti_infos_train, filename)
    kitti_infos_val = get_kitti_image_info(
        data_path,
        training=True,
        velodyne=True,
        calib=True,
        image_ids=val_img_ids,
        relative_path=relative_path)
    _calculate_num_points_in_gt(data_path, kitti_infos_val, relative_path)
    filename = save_path / f'{pkl_prefix}_infos_val.pkl'
    print(f'Kitti info val file is saved to {filename}')
    mmcv.dump(kitti_infos_val, filename)
    filename = save_path / f'{pkl_prefix}_infos_trainval.pkl'
    print(f'Kitti info trainval file is saved to {filename}')
    mmcv.dump(kitti_infos_train + kitti_infos_val, filename)