Mercurial Hosting > traffic-intelligence

comparison python/cvutils.py @ 99:e7dc5a780f09

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
added conversion functions and homography computation
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 12 Jul 2011 17:01:59 -0400
parents b85912ab4064
children 2a3cafcf5faf
comparison
equal deleted inserted replaced
98:b85912ab4064 99:e7dc5a780f09
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 import cv
6 from sys import stdout
7
5 #import aggdraw # agg on top of PIL (antialiased drawing) 8 #import aggdraw # agg on top of PIL (antialiased drawing)
6 from moving import Point 9 from moving import Point
7 #import utils 10 #import utils
8 11
9 __metaclass__ = type 12 __metaclass__ = type
21 #draw.line([p1.x, p1.y, p2.x, p2.y], pen) 24 #draw.line([p1.x, p1.y, p2.x, p2.y], pen)
22 del draw 25 del draw
23 26
24 #out = utils.openCheck(resultFilename) 27 #out = utils.openCheck(resultFilename)
25 img.save(resultFilename) 28 img.save(resultFilename)
29
30 def computeHomography(srcPoints, dstPoints, method=0, ransacReprojThreshold=0.0):
31 '''Returns the homography matrix mapping from srcPoints to dstPoints (dimension Nx2)'''
32 cvSrcPoints = arrayToCvMat(srcPoints);
33 cvDstPoints = arrayToCvMat(dstPoints);
34 H = cv.CreateMat(3, 3, cv.CV_64FC1)
35 cv.FindHomography(cvSrcPoints, cvDstPoints, H, method, ransacReprojThreshold)
36 return H
37
38 def cvMatToArray(cvmat):
39 '''Converts an OpenCV CvMat to numpy array.'''
40 from numpy.core.multiarray import zeros
41 a = zeros((cvmat.rows, cvmat.cols))#array([[0.0]*cvmat.width]*cvmat.height)
42 for i in xrange(cvmat.rows):
43 for j in xrange(cvmat.cols):
44 a[i,j] = cvmat[i,j]
45 return a
46
47 def arrayToCvMat(a, t = cv.CV_64FC1):
48 '''Converts a numpy array to an OpenCV CvMat, with default type CV_64FC1.'''
49 cvmat = cv.CreateMat(a.shape[0], a.shape[1], t)
50 for i in range(cvmat.rows):
51 for j in range(cvmat.cols):
52 cvmat[i,j] = a[i,j]
53 return cvmat
54
55 def printCvMat(cvmat, out = stdout):
56 '''Prints the cvmat to out'''
57 for i in xrange(cvmat.rows):
58 for j in xrange(cvmat.cols):
59 out.write('{0} '.format(cvmat[i,j]))
60 out.write('\n')
26 61
27 def projectArray(homography, points): 62 def projectArray(homography, points):
28 '''Returns the coordinates of the projected points (format 2xN points) 63 '''Returns the coordinates of the projected points (format 2xN points)
29 through homography''' 64 through homography'''
30 from numpy.core._dotblas import dot 65 from numpy.core._dotblas import dot