import argparse import os.path as osp import mmcv from cityscapesscripts.preparation.json2labelImg import json2labelImg def convert_json_to_label(json_file): label_file = json_file.replace('_polygons.json', '_labelTrainIds.png') json2labelImg(json_file, label_file, 'trainIds') def parse_args(): parser = argparse.ArgumentParser( description='Convert Cityscapes annotations to TrainIds') parser.add_argument('cityscapes_path', help='cityscapes data path') parser.add_argument('--gt-dir', default='gtFine', type=str) parser.add_argument('-o', '--out-dir', help='output path') parser.add_argument( '--nproc', default=1, type=int, help='number of process') args = parser.parse_args() return args def main(): args = parse_args() cityscapes_path = args.cityscapes_path out_dir = args.out_dir if args.out_dir else cityscapes_path mmcv.mkdir_or_exist(out_dir) gt_dir = osp.join(cityscapes_path, args.gt_dir) poly_files = [] for poly in mmcv.scandir(gt_dir, '_polygons.json', recursive=True): poly_file = osp.join(gt_dir, poly) poly_files.append(poly_file) if args.nproc > 1: mmcv.track_parallel_progress(convert_json_to_label, poly_files, args.nproc) else: mmcv.track_progress(convert_json_to_label, poly_files) split_names = ['train', 'val', 'test'] for split in split_names: filenames = [] for poly in mmcv.scandir( osp.join(gt_dir, split), '_polygons.json', recursive=True): filenames.append(poly.replace('_gtFine_polygons.json', '')) with open(osp.join(out_dir, f'{split}.txt'), 'w') as f: f.writelines(f + '\n' for f in filenames) if __name__ == '__main__': main()