Mercurial > hg > nsaunier > traffic-intelligence
annotate c/cvutils.cpp @ 144:b32947b002da
added the code to read matrices from text files
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Fri, 26 Aug 2011 19:38:11 -0400 |
| parents | 3a11dba30655 |
| children | 0089fb29cd26 |
| 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 cv::Mat loadMat(const string& filename, const string& separator) { |
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15 vector<vector<float> > numbers = ::loadNumbers(filename, separator); |
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16 |
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17 Mat mat; |
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18 |
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19 if (!numbers.empty()) { |
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20 mat = Mat(numbers.size(),numbers[0].size(), CV_32FC1); |
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21 for (unsigned int i=0; i<numbers.size(); i++) |
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22 for (unsigned int j=0; j<numbers[0].size(); j++) |
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23 mat.at<float>(i,j) = numbers[i][j]; |
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24 } |
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25 |
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26 return mat; |
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27 } |
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28 |
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29 void keyPoints2Points(const vector<KeyPoint>& kpts, vector<Point2f>& pts, const bool& clearPts /* = true */) { |
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30 if (clearPts) |
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31 pts.clear(); |
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32 pts.reserve(kpts.size()); |
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33 |
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34 for (unsigned int i=0; i<kpts.size(); i++) |
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35 pts.push_back(kpts[i].pt); |
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36 } |
| 9 | 37 |
| 38 IplImage* allocateImage(const int& width, const int& height, const int& depth, const int& channels) { return ::allocateImage(cvSize(width, height), depth, channels);} | |
| 39 | |
| 40 IplImage* allocateImage(const CvSize& size, const int& depth, const int& channels) { | |
| 41 IplImage* image = cvCreateImage(size, depth, channels); | |
| 42 | |
| 43 if (!image) { | |
| 44 cerr << "Error: Couldn't allocate image. Out of memory?\n" << endl; | |
| 45 exit(-1); | |
| 46 } | |
| 47 | |
| 48 return image; | |
| 49 } | |
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50 |
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51 int goToFrameNum(CvCapture* inputVideo, const int& currentFrameNum, const int& targetFrameNum) { |
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52 int frameNum = currentFrameNum; |
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53 if (currentFrameNum > targetFrameNum) { |
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54 cerr << "Current frame number " << currentFrameNum << " is after the target frame number " << targetFrameNum << "." << endl; |
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55 } else if (currentFrameNum < targetFrameNum) { |
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56 IplImage* frame = cvQueryFrame(inputVideo); |
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57 frameNum++; |
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58 while (frame && frameNum<targetFrameNum) { |
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59 frame = cvQueryFrame(inputVideo); |
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60 frameNum++; |
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61 } |
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62 } |
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63 |
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64 return frameNum; |
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65 } |
| 131 | 66 |
| 67 const Scalar Colors::color[] = {Colors::red(), | |
| 68 Colors::green(), | |
| 69 Colors::blue(), | |
| 70 Colors::cyan(), | |
| 71 Colors::magenta(), | |
| 72 Colors::yellow(), | |
| 73 Colors::white(), | |
| 74 Colors::black()}; | |
| 75 | |
| 76 Scalar Colors::black(void) { return Scalar(0,0,0);} | |
| 77 Scalar Colors::red(void) { return Scalar(255,0,0);} | |
| 78 Scalar Colors::green(void) { return Scalar(0,255,0);} | |
| 79 Scalar Colors::blue(void) { return Scalar(0,0,255);} | |
| 80 Scalar Colors::white(void) { return Scalar(255,255,255);} | |
| 81 Scalar Colors::magenta(void) { return Scalar(255,0,255);} | |
| 82 Scalar Colors::cyan(void) { return Scalar(0,255,255);} | |
| 83 Scalar Colors::yellow(void) { return Scalar(255,255,0);} | |
| 84 | |
| 85 Scalar Colors::color3(const int& num) { return Colors::color[num%3];} | |
| 86 Scalar Colors::color8(const int& num) { return Colors::color[num%Colors::nColors];} |
