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| # Copyright (c) OpenMMLab. All rights reserved. | |
| import argparse | |
| import os | |
| import os.path as osp | |
| import tempfile | |
| import zipfile | |
| import mmcv | |
| from mmengine.utils import mkdir_or_exist | |
| HRF_LEN = 15 | |
| TRAINING_LEN = 5 | |
| def parse_args(): | |
| parser = argparse.ArgumentParser( | |
| description='Convert HRF dataset to mmsegmentation format') | |
| parser.add_argument('healthy_path', help='the path of healthy.zip') | |
| parser.add_argument( | |
| 'healthy_manualsegm_path', help='the path of healthy_manualsegm.zip') | |
| parser.add_argument('glaucoma_path', help='the path of glaucoma.zip') | |
| parser.add_argument( | |
| 'glaucoma_manualsegm_path', help='the path of glaucoma_manualsegm.zip') | |
| parser.add_argument( | |
| 'diabetic_retinopathy_path', | |
| help='the path of diabetic_retinopathy.zip') | |
| parser.add_argument( | |
| 'diabetic_retinopathy_manualsegm_path', | |
| help='the path of diabetic_retinopathy_manualsegm.zip') | |
| parser.add_argument('--tmp_dir', help='path of the temporary directory') | |
| parser.add_argument('-o', '--out_dir', help='output path') | |
| args = parser.parse_args() | |
| return args | |
| def main(): | |
| args = parse_args() | |
| images_path = [ | |
| args.healthy_path, args.glaucoma_path, args.diabetic_retinopathy_path | |
| ] | |
| annotations_path = [ | |
| args.healthy_manualsegm_path, args.glaucoma_manualsegm_path, | |
| args.diabetic_retinopathy_manualsegm_path | |
| ] | |
| if args.out_dir is None: | |
| out_dir = osp.join('data', 'HRF') | |
| else: | |
| out_dir = args.out_dir | |
| print('Making directories...') | |
| mkdir_or_exist(out_dir) | |
| mkdir_or_exist(osp.join(out_dir, 'images')) | |
| mkdir_or_exist(osp.join(out_dir, 'images', 'training')) | |
| mkdir_or_exist(osp.join(out_dir, 'images', 'validation')) | |
| mkdir_or_exist(osp.join(out_dir, 'annotations')) | |
| mkdir_or_exist(osp.join(out_dir, 'annotations', 'training')) | |
| mkdir_or_exist(osp.join(out_dir, 'annotations', 'validation')) | |
| print('Generating images...') | |
| for now_path in images_path: | |
| with tempfile.TemporaryDirectory(dir=args.tmp_dir) as tmp_dir: | |
| zip_file = zipfile.ZipFile(now_path) | |
| zip_file.extractall(tmp_dir) | |
| assert len(os.listdir(tmp_dir)) == HRF_LEN, \ | |
| f'len(os.listdir(tmp_dir)) != {HRF_LEN}' | |
| for filename in sorted(os.listdir(tmp_dir))[:TRAINING_LEN]: | |
| img = mmcv.imread(osp.join(tmp_dir, filename)) | |
| mmcv.imwrite( | |
| img, | |
| osp.join(out_dir, 'images', 'training', | |
| osp.splitext(filename)[0] + '.png')) | |
| for filename in sorted(os.listdir(tmp_dir))[TRAINING_LEN:]: | |
| img = mmcv.imread(osp.join(tmp_dir, filename)) | |
| mmcv.imwrite( | |
| img, | |
| osp.join(out_dir, 'images', 'validation', | |
| osp.splitext(filename)[0] + '.png')) | |
| print('Generating annotations...') | |
| for now_path in annotations_path: | |
| with tempfile.TemporaryDirectory(dir=args.tmp_dir) as tmp_dir: | |
| zip_file = zipfile.ZipFile(now_path) | |
| zip_file.extractall(tmp_dir) | |
| assert len(os.listdir(tmp_dir)) == HRF_LEN, \ | |
| f'len(os.listdir(tmp_dir)) != {HRF_LEN}' | |
| for filename in sorted(os.listdir(tmp_dir))[:TRAINING_LEN]: | |
| img = mmcv.imread(osp.join(tmp_dir, filename)) | |
| # The annotation img should be divided by 128, because some of | |
| # the annotation imgs are not standard. We should set a | |
| # threshold to convert the nonstandard annotation imgs. The | |
| # value divided by 128 is equivalent to '1 if value >= 128 | |
| # else 0' | |
| mmcv.imwrite( | |
| img[:, :, 0] // 128, | |
| osp.join(out_dir, 'annotations', 'training', | |
| osp.splitext(filename)[0] + '.png')) | |
| for filename in sorted(os.listdir(tmp_dir))[TRAINING_LEN:]: | |
| img = mmcv.imread(osp.join(tmp_dir, filename)) | |
| mmcv.imwrite( | |
| img[:, :, 0] // 128, | |
| osp.join(out_dir, 'annotations', 'validation', | |
| osp.splitext(filename)[0] + '.png')) | |
| print('Done!') | |
| if __name__ == '__main__': | |
| main() | |