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63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
#!/usr/bin/env python
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'''
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Stitching sample
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================
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Show how to use Stitcher API from python in a simple way to stitch panoramas
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or scans.
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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import numpy as np
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import cv2 as cv
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import argparse
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import sys
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modes = (cv.Stitcher_PANORAMA, cv.Stitcher_SCANS)
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parser = argparse.ArgumentParser(prog='stitching.py', description='Stitching sample.')
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parser.add_argument('--mode',
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type = int, choices = modes, default = cv.Stitcher_PANORAMA,
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help = 'Determines configuration of stitcher. The default is `PANORAMA` (%d), '
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'mode suitable for creating photo panoramas. Option `SCANS` (%d) is suitable '
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'for stitching materials under affine transformation, such as scans.' % modes)
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parser.add_argument('--output', default = 'result.jpg',
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help = 'Resulting image. The default is `result.jpg`.')
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parser.add_argument('img', nargs='+', help = 'input images')
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__doc__ += '\n' + parser.format_help()
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def main():
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args = parser.parse_args()
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# read input images
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imgs = []
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for img_name in args.img:
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img = cv.imread(cv.samples.findFile(img_name))
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if img is None:
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print("can't read image " + img_name)
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sys.exit(-1)
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imgs.append(img)
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stitcher = cv.Stitcher.create(args.mode)
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status, pano = stitcher.stitch(imgs)
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if status != cv.Stitcher_OK:
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print("Can't stitch images, error code = %d" % status)
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sys.exit(-1)
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cv.imwrite(args.output, pano)
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print("stitching completed successfully. %s saved!" % args.output)
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print('Done')
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if __name__ == '__main__':
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print(__doc__)
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main()
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cv.destroyAllWindows()
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