42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
#!/usr/bin/env python
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import argparse
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import pathlib
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import cv2
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import numpy as np
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from tensorboard.backend.event_processing import event_accumulator
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# ffmpeg -framerate 1 -i ./tmp/test_b/%04d.jpg -vcodec mpeg4 test_b.mp4
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# https://gist.github.com/hysts/81a0d30ac4f33dfa0c8859383aec42c2
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('--path', type=str, required=True)
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parser.add_argument('--outdir', type=str, required=True)
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args = parser.parse_args()
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event_acc = event_accumulator.EventAccumulator(
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args.path, size_guidance={'images': 0})
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event_acc.Reload()
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outdir = pathlib.Path(args.outdir)
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outdir.mkdir(exist_ok=True, parents=True)
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for tag in event_acc.Tags()['images']:
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events = event_acc.Images(tag)
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tag_name = tag.replace('/', '_')
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dirpath = outdir / tag_name
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dirpath.mkdir(exist_ok=True, parents=True)
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for index, event in enumerate(events):
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s = np.frombuffer(event.encoded_image_string, dtype=np.uint8)
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image = cv2.imdecode(s, cv2.IMREAD_COLOR)
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outpath = dirpath / '{:04}.jpg'.format(index)
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cv2.imwrite(outpath.as_posix(), image)
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if __name__ == '__main__':
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main()
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