Mercurial > hg > nsaunier > traffic-intelligence
comparison python/cvutils.py @ 151:4af774bb186d
wrote a simple script to compute homography from point correspondences and display the reprojection for visual verification
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Tue, 06 Sep 2011 17:55:06 -0400 |
| parents | 404f3cade05f |
| children | 74b1fc68d4df |
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| 150:404f3cade05f | 151:4af774bb186d |
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| 1 #! /usr/bin/env python | 1 #! /usr/bin/env python |
| 2 '''Image/Video utilities''' | 2 '''Image/Video utilities''' |
| 3 | 3 |
| 4 import Image, ImageDraw # PIL | 4 import Image, ImageDraw # PIL |
| 5 try: | 5 try: |
| 6 import cv,cv2 | 6 import cv2 |
| 7 opencvExists = True | 7 opencvExists = True |
| 8 except ImportError: | 8 except ImportError: |
| 9 print('OpenCV library could not be loaded') | 9 print('OpenCV library could not be loaded') |
| 10 opencvExists = False | 10 opencvExists = False |
| 11 from sys import stdout | 11 from sys import stdout |
| 12 | 12 |
| 13 import utils | |
| 14 | |
| 13 #import aggdraw # agg on top of PIL (antialiased drawing) | 15 #import aggdraw # agg on top of PIL (antialiased drawing) |
| 14 #import utils | 16 #import utils |
| 15 | 17 |
| 16 __metaclass__ = type | 18 __metaclass__ = type |
| 19 | |
| 20 cvRed = (0,0,255) | |
| 21 cvGreen = (0,255,0) | |
| 22 cvBlue = (255,0,0) | |
| 23 cvColors = utils.PlottingPropertyValues([cvRed, | |
| 24 cvGreen, | |
| 25 cvBlue]) | |
| 17 | 26 |
| 18 def drawLines(filename, origins, destinations, w = 1, resultFilename='image.png'): | 27 def drawLines(filename, origins, destinations, w = 1, resultFilename='image.png'): |
| 19 '''Draws lines over the image ''' | 28 '''Draws lines over the image ''' |
| 20 | 29 |
| 21 img = Image.open(filename) | 30 img = Image.open(filename) |
| 31 #out = utils.openCheck(resultFilename) | 40 #out = utils.openCheck(resultFilename) |
| 32 img.save(resultFilename) | 41 img.save(resultFilename) |
| 33 | 42 |
| 34 def computeHomography(srcPoints, dstPoints, method=0, ransacReprojThreshold=0.0): | 43 def computeHomography(srcPoints, dstPoints, method=0, ransacReprojThreshold=0.0): |
| 35 '''Returns the homography matrix mapping from srcPoints to dstPoints (dimension Nx2)''' | 44 '''Returns the homography matrix mapping from srcPoints to dstPoints (dimension Nx2)''' |
| 36 cvSrcPoints = arrayToCvMat(srcPoints); | 45 #cvSrcPoints = arrayToCvMat(srcPoints); |
| 37 cvDstPoints = arrayToCvMat(dstPoints); | 46 #cvDstPoints = arrayToCvMat(dstPoints); |
| 38 H = cv.CreateMat(3, 3, cv.CV_64FC1) | 47 #H = cv.CreateMat(3, 3, cv.CV_64FC1) |
| 39 cv.FindHomography(cvSrcPoints, cvDstPoints, H, method, ransacReprojThreshold) | 48 H, mask = cv2.findHomography(srcPoints, dstPoints, method, ransacReprojThreshold) |
| 40 return H | 49 return H |
| 41 | 50 |
| 42 def cvMatToArray(cvmat): | 51 def cvMatToArray(cvmat): |
| 43 '''Converts an OpenCV CvMat to numpy array.''' | 52 '''Converts an OpenCV CvMat to numpy array.''' |
| 44 from numpy.core.multiarray import zeros | 53 from numpy.core.multiarray import zeros |
