samples/python/snippets/stitching.py

A basic example on image stitching in Python.

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