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import argparse |
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import os.path as osp |
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from functools import partial |
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import mmcv |
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import numpy as np |
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from detail import Detail |
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from PIL import Image |
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_mapping = np.sort( |
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np.array([ |
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0, 2, 259, 260, 415, 324, 9, 258, 144, 18, 19, 22, 23, 397, 25, 284, |
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158, 159, 416, 33, 162, 420, 454, 295, 296, 427, 44, 45, 46, 308, 59, |
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440, 445, 31, 232, 65, 354, 424, 68, 326, 72, 458, 34, 207, 80, 355, |
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85, 347, 220, 349, 360, 98, 187, 104, 105, 366, 189, 368, 113, 115 |
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])) |
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_key = np.array(range(len(_mapping))).astype('uint8') |
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def generate_labels(img_id, detail, out_dir): |
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def _class_to_index(mask, _mapping, _key): |
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values = np.unique(mask) |
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for i in range(len(values)): |
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assert (values[i] in _mapping) |
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index = np.digitize(mask.ravel(), _mapping, right=True) |
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return _key[index].reshape(mask.shape) |
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mask = Image.fromarray( |
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_class_to_index(detail.getMask(img_id), _mapping=_mapping, _key=_key)) |
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filename = img_id['file_name'] |
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mask.save(osp.join(out_dir, filename.replace('jpg', 'png'))) |
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return osp.splitext(osp.basename(filename))[0] |
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def parse_args(): |
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parser = argparse.ArgumentParser( |
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description='Convert PASCAL VOC annotations to mmsegmentation format') |
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parser.add_argument('devkit_path', help='pascal voc devkit path') |
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parser.add_argument('json_path', help='annoation json filepath') |
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parser.add_argument('-o', '--out_dir', help='output path') |
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args = parser.parse_args() |
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return args |
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def main(): |
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args = parse_args() |
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devkit_path = args.devkit_path |
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if args.out_dir is None: |
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out_dir = osp.join(devkit_path, 'VOC2010', 'SegmentationClassContext') |
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else: |
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out_dir = args.out_dir |
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json_path = args.json_path |
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mmcv.mkdir_or_exist(out_dir) |
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img_dir = osp.join(devkit_path, 'VOC2010', 'JPEGImages') |
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train_detail = Detail(json_path, img_dir, 'train') |
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train_ids = train_detail.getImgs() |
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val_detail = Detail(json_path, img_dir, 'val') |
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val_ids = val_detail.getImgs() |
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mmcv.mkdir_or_exist( |
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osp.join(devkit_path, 'VOC2010/ImageSets/SegmentationContext')) |
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train_list = mmcv.track_progress( |
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partial(generate_labels, detail=train_detail, out_dir=out_dir), |
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train_ids) |
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with open( |
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osp.join(devkit_path, 'VOC2010/ImageSets/SegmentationContext', |
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'train.txt'), 'w') as f: |
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f.writelines(line + '\n' for line in sorted(train_list)) |
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val_list = mmcv.track_progress( |
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partial(generate_labels, detail=val_detail, out_dir=out_dir), val_ids) |
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with open( |
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osp.join(devkit_path, 'VOC2010/ImageSets/SegmentationContext', |
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'val.txt'), 'w') as f: |
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f.writelines(line + '\n' for line in sorted(val_list)) |
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print('Done!') |
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if __name__ == '__main__': |
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main() |
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