Mercurial Hosting > traffic-intelligence

comparison scripts/compute-homography.py @ 636:3058e00887bc

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
removed all issues because of tests with None, using is instead of == or !=
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 24 Mar 2015 18:11:28 +0100
parents aded6c1c2ebd
children 852f5de42d01
comparison
equal deleted inserted replaced
635:6ae68383071e 636:3058e00887bc
73 73
74 # cvFindHomography(imagePoints, worldPoints, H); 74 # cvFindHomography(imagePoints, worldPoints, H);
75 75
76 76
77 homography = np.array([]) 77 homography = np.array([])
78 if args.pointCorrespondencesFilename != None: 78 if args.pointCorrespondencesFilename is not None:
79 worldPts, videoPts = cvutils.loadPointCorrespondences(args.pointCorrespondencesFilename) 79 worldPts, videoPts = cvutils.loadPointCorrespondences(args.pointCorrespondencesFilename)
80 homography, mask = cv2.findHomography(videoPts, worldPts) # method=0, ransacReprojThreshold=3 80 homography, mask = cv2.findHomography(videoPts, worldPts) # method=0, ransacReprojThreshold=3
81 elif args.videoFrameFilename != None and args.worldFilename != None: 81 elif args.videoFrameFilename is not None and args.worldFilename is not None:
82 worldImg = plt.imread(args.worldFilename) 82 worldImg = plt.imread(args.worldFilename)
83 videoImg = plt.imread(args.videoFrameFilename) 83 videoImg = plt.imread(args.videoFrameFilename)
84 if args.undistort: 84 if args.undistort:
85 [map1, map2] = cvutils.computeUndistortMaps(videoImg.shape[1], videoImg.shape[0], args.undistortedImageMultiplication, np.loadtxt(args.intrinsicCameraMatrixFilename), args.distortionCoefficients) 85 [map1, map2] = cvutils.computeUndistortMaps(videoImg.shape[1], videoImg.shape[0], args.undistortedImageMultiplication, np.loadtxt(args.intrinsicCameraMatrixFilename), args.distortionCoefficients)
86 videoImg = cv2.remap(videoImg, map1, map2, interpolation=cv2.INTER_LINEAR) 86 videoImg = cv2.remap(videoImg, map1, map2, interpolation=cv2.INTER_LINEAR)
101 f.close() 101 f.close()
102 102
103 if homography.size>0: 103 if homography.size>0:
104 np.savetxt('homography.txt',homography) 104 np.savetxt('homography.txt',homography)
105 105
106 if args.displayPoints and args.videoFrameFilename != None and args.worldFilename != None and homography.size>0: 106 if args.displayPoints and args.videoFrameFilename is not None and args.worldFilename is not None and homography.size>0:
107 worldImg = cv2.imread(args.worldFilename) 107 worldImg = cv2.imread(args.worldFilename)
108 videoImg = cv2.imread(args.videoFrameFilename) 108 videoImg = cv2.imread(args.videoFrameFilename)
109 if args.undistort: 109 if args.undistort:
110 [map1, map2] = cvutils.computeUndistortMaps(videoImg.shape[1], videoImg.shape[0], args.undistortedImageMultiplication, np.loadtxt(args.intrinsicCameraMatrixFilename), args.distortionCoefficients) 110 [map1, map2] = cvutils.computeUndistortMaps(videoImg.shape[1], videoImg.shape[0], args.undistortedImageMultiplication, np.loadtxt(args.intrinsicCameraMatrixFilename), args.distortionCoefficients)
111 videoImg = cv2.remap(videoImg, map1, map2, interpolation=cv2.INTER_LINEAR) 111 videoImg = cv2.remap(videoImg, map1, map2, interpolation=cv2.INTER_LINEAR)