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https://github.com/YaoFANGUK/video-subtitle-remover.git
synced 2026-05-07 10:07:30 +08:00
58 lines
2.1 KiB
Python
Executable File
58 lines
2.1 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import cv2
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import numpy as np
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import tqdm
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from saicinpainting.evaluation.data import PrecomputedInpaintingResultsDataset
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from saicinpainting.evaluation.utils import load_yaml
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def main(args):
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config = load_yaml(args.config)
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if not args.predictdir.endswith('/'):
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args.predictdir += '/'
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dataset = PrecomputedInpaintingResultsDataset(args.datadir, args.predictdir, **config.dataset_kwargs)
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os.makedirs(os.path.dirname(args.outpath), exist_ok=True)
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for img_i in tqdm.trange(len(dataset)):
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pred_fname = dataset.pred_filenames[img_i]
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cur_out_fname = os.path.join(args.outpath, pred_fname[len(args.predictdir):])
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os.makedirs(os.path.dirname(cur_out_fname), exist_ok=True)
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sample = dataset[img_i]
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img = sample['image']
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mask = sample['mask']
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inpainted = sample['inpainted']
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inpainted_blurred = cv2.GaussianBlur(np.transpose(inpainted, (1, 2, 0)),
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ksize=(args.k, args.k),
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sigmaX=args.s, sigmaY=args.s,
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borderType=cv2.BORDER_REFLECT)
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cur_res = (1 - mask) * np.transpose(img, (1, 2, 0)) + mask * inpainted_blurred
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cur_res = np.clip(cur_res * 255, 0, 255).astype('uint8')
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cur_res = cv2.cvtColor(cur_res, cv2.COLOR_RGB2BGR)
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cv2.imwrite(cur_out_fname, cur_res)
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if __name__ == '__main__':
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import argparse
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aparser = argparse.ArgumentParser()
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aparser.add_argument('config', type=str, help='Path to evaluation config')
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aparser.add_argument('datadir', type=str,
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help='Path to folder with images and masks (output of gen_mask_dataset.py)')
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aparser.add_argument('predictdir', type=str,
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help='Path to folder with predicts (e.g. predict_hifill_baseline.py)')
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aparser.add_argument('outpath', type=str, help='Where to put results')
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aparser.add_argument('-s', type=float, default=0.1, help='Gaussian blur sigma')
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aparser.add_argument('-k', type=int, default=5, help='Kernel size in gaussian blur')
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main(aparser.parse_args())
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