mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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25 lines
954 B
25 lines
954 B
#!/usr/bin/env python |
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import sys |
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import cv2.cv as cv |
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def findstereocorrespondence(image_left, image_right): |
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# image_left and image_right are the input 8-bit single-channel images |
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# from the left and the right cameras, respectively |
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(r, c) = (image_left.rows, image_left.cols) |
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disparity_left = cv.CreateMat(r, c, cv.CV_16S) |
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disparity_right = cv.CreateMat(r, c, cv.CV_16S) |
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state = cv.CreateStereoGCState(16, 2) |
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cv.FindStereoCorrespondenceGC(image_left, image_right, disparity_left, disparity_right, state, 0) |
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return (disparity_left, disparity_right) |
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if __name__ == '__main__': |
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(l, r) = [cv.LoadImageM(f, cv.CV_LOAD_IMAGE_GRAYSCALE) for f in sys.argv[1:]] |
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(disparity_left, disparity_right) = findstereocorrespondence(l, r) |
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disparity_left_visual = cv.CreateMat(l.rows, l.cols, cv.CV_8U) |
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cv.ConvertScale(disparity_left, disparity_left_visual, -16) |
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cv.SaveImage("disparity.pgm", disparity_left_visual)
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