Mercurial > hg > nsaunier > traffic-intelligence
annotate c/cvutils.cpp @ 153:c8a149fccfda
corrected bug in reading floats from text files
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Tue, 06 Sep 2011 19:22:24 -0400 |
| parents | 0089fb29cd26 |
| children | 5eeb3b9fb568 |
| rev | line source |
|---|---|
| 9 | 1 #include "cvutils.hpp" |
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2 #include "utils.hpp" |
| 9 | 3 |
| 131 | 4 #include "opencv2/core/core.hpp" |
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5 #include "opencv2/highgui/highgui.hpp" |
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6 #include "opencv2/features2d/features2d.hpp" |
| 9 | 7 |
| 8 #include <iostream> | |
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9 #include <vector> |
| 9 | 10 |
| 11 using namespace std; | |
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12 using namespace cv; |
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13 |
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14 Point2f project(const Point2f& p, const Mat& homography) { |
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15 //Mat homogeneous(3, 1, CV_32FC1); |
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16 float x, y; |
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17 float w = homography.at<float>(2,0)*p.x+homography.at<float>(2,1)*p.y+homography.at<float>(2,2); |
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18 if (w != 0) { |
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19 x = (homography.at<float>(0,0)*p.x+homography.at<float>(0,1)*p.y+homography.at<float>(0,2))/w; |
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20 y = (homography.at<float>(1,0)*p.x+homography.at<float>(1,1)*p.y+homography.at<float>(1,2))/w; |
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21 } else { |
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22 x = 0; |
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23 y = 0; |
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24 } |
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25 return Point2f(x, y); |
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26 } |
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27 |
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28 Mat loadMat(const string& filename, const string& separator) { |
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29 vector<vector<float> > numbers = ::loadNumbers(filename, separator); |
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30 |
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31 Mat mat; |
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32 |
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33 if (!numbers.empty()) { |
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34 mat = Mat(numbers.size(),numbers[0].size(), CV_32FC1); |
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35 for (unsigned int i=0; i<numbers.size(); i++) |
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36 for (unsigned int j=0; j<numbers[0].size(); j++) |
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37 mat.at<float>(i,j) = numbers[i][j]; |
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38 } |
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39 |
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40 return mat; |
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41 } |
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42 |
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43 void keyPoints2Points(const vector<KeyPoint>& kpts, vector<Point2f>& pts, const bool& clearPts /* = true */) { |
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44 if (clearPts) |
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45 pts.clear(); |
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46 pts.reserve(kpts.size()); |
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47 |
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48 for (unsigned int i=0; i<kpts.size(); i++) |
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49 pts.push_back(kpts[i].pt); |
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50 } |
| 9 | 51 |
| 52 IplImage* allocateImage(const int& width, const int& height, const int& depth, const int& channels) { return ::allocateImage(cvSize(width, height), depth, channels);} | |
| 53 | |
| 54 IplImage* allocateImage(const CvSize& size, const int& depth, const int& channels) { | |
| 55 IplImage* image = cvCreateImage(size, depth, channels); | |
| 56 | |
| 57 if (!image) { | |
| 58 cerr << "Error: Couldn't allocate image. Out of memory?\n" << endl; | |
| 59 exit(-1); | |
| 60 } | |
| 61 | |
| 62 return image; | |
| 63 } | |
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64 |
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65 int goToFrameNum(CvCapture* inputVideo, const int& currentFrameNum, const int& targetFrameNum) { |
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66 int frameNum = currentFrameNum; |
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67 if (currentFrameNum > targetFrameNum) { |
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68 cerr << "Current frame number " << currentFrameNum << " is after the target frame number " << targetFrameNum << "." << endl; |
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69 } else if (currentFrameNum < targetFrameNum) { |
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70 IplImage* frame = cvQueryFrame(inputVideo); |
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71 frameNum++; |
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72 while (frame && frameNum<targetFrameNum) { |
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73 frame = cvQueryFrame(inputVideo); |
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74 frameNum++; |
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75 } |
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76 } |
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77 |
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78 return frameNum; |
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79 } |
| 131 | 80 |
| 81 const Scalar Colors::color[] = {Colors::red(), | |
| 82 Colors::green(), | |
| 83 Colors::blue(), | |
| 84 Colors::cyan(), | |
| 85 Colors::magenta(), | |
| 86 Colors::yellow(), | |
| 87 Colors::white(), | |
| 88 Colors::black()}; | |
| 89 | |
| 90 Scalar Colors::black(void) { return Scalar(0,0,0);} | |
| 91 Scalar Colors::red(void) { return Scalar(255,0,0);} | |
| 92 Scalar Colors::green(void) { return Scalar(0,255,0);} | |
| 93 Scalar Colors::blue(void) { return Scalar(0,0,255);} | |
| 94 Scalar Colors::white(void) { return Scalar(255,255,255);} | |
| 95 Scalar Colors::magenta(void) { return Scalar(255,0,255);} | |
| 96 Scalar Colors::cyan(void) { return Scalar(0,255,255);} | |
| 97 Scalar Colors::yellow(void) { return Scalar(255,255,0);} | |
| 98 | |
| 99 Scalar Colors::color3(const int& num) { return Colors::color[num%3];} | |
| 100 Scalar Colors::color8(const int& num) { return Colors::color[num%Colors::nColors];} |
