modified data matrix detection interface (that does not use any new data structures). Added Python sample for data matrix detection. Ticket #1664
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@ -2142,11 +2142,11 @@ CV_EXPORTS Mat repeat(const Mat& src, int ny, int nx);
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CV_EXPORTS void hconcat(const Mat* src, size_t nsrc, OutputArray dst);
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CV_EXPORTS void hconcat(const Mat* src, size_t nsrc, OutputArray dst);
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CV_EXPORTS void hconcat(InputArray src1, InputArray src2, OutputArray dst);
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CV_EXPORTS void hconcat(InputArray src1, InputArray src2, OutputArray dst);
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CV_EXPORTS_W void hconcat(InputArray src, OutputArray dst);
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CV_EXPORTS_W void hconcat(InputArrayOfArrays src, OutputArray dst);
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CV_EXPORTS void vconcat(const Mat* src, size_t nsrc, OutputArray dst);
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CV_EXPORTS void vconcat(const Mat* src, size_t nsrc, OutputArray dst);
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CV_EXPORTS void vconcat(InputArray src1, InputArray src2, OutputArray dst);
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CV_EXPORTS void vconcat(InputArray src1, InputArray src2, OutputArray dst);
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CV_EXPORTS_W void vconcat(InputArray src, OutputArray dst);
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CV_EXPORTS_W void vconcat(InputArrayOfArrays src, OutputArray dst);
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//! computes bitwise conjunction of the two arrays (dst = src1 & src2)
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//! computes bitwise conjunction of the two arrays (dst = src1 & src2)
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CV_EXPORTS_W void bitwise_and(InputArray src1, InputArray src2,
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CV_EXPORTS_W void bitwise_and(InputArray src1, InputArray src2,
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@ -586,16 +586,13 @@ public:
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};
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};
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CV_EXPORTS_W void findDataMatrix(InputArray image,
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CV_OUT vector<string>& codes,
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struct CV_EXPORTS DataMatrixCode {
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OutputArray corners=noArray(),
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char msg[4]; //TODO std::string
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OutputArrayOfArrays dmtx=noArray());
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Mat original;
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CV_EXPORTS_W void drawDataMatrixCodes(InputOutputArray image,
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Point corners[4]; //TODO vector
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const vector<string>& codes,
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};
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InputArray corners);
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CV_EXPORTS void findDataMatrix(const Mat& image, std::vector<DataMatrixCode>& codes);
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CV_EXPORTS void drawDataMatrixCodes(const std::vector<DataMatrixCode>& codes, Mat& drawImage);
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}
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}
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/****************************************************************************************\
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/****************************************************************************************\
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@ -496,60 +496,80 @@ endo: ; // end search for this o
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namespace cv
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namespace cv
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{
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{
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namespace
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void findDataMatrix(InputArray _image,
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vector<string>& codes,
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OutputArray _corners,
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OutputArrayOfArrays _dmtx)
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{
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{
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struct CvDM2DM_transform
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Mat image = _image.getMat();
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{
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CvMat m(image);
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DataMatrixCode operator()(CvDataMatrixCode& cvdm)
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deque <CvDataMatrixCode> rc = cvFindDataMatrix(&m);
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int i, n = (int)rc.size();
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Mat corners;
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if( _corners.needed() )
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{
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{
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DataMatrixCode dm;
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_corners.create(n, 4, CV_32SC2);
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memcpy(dm.msg,cvdm.msg,sizeof(cvdm.msg));
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corners = _corners.getMat();
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dm.original = cv::Mat(cvdm.original,true);
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cvReleaseMat(&cvdm.original);
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cv::Mat c(cvdm.corners,true);
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dm.corners[0] = c.at<Point>(0,0);
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dm.corners[1] = c.at<Point>(1,0);
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dm.corners[2] = c.at<Point>(2,0);
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dm.corners[3] = c.at<Point>(3,0);
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cvReleaseMat(&cvdm.corners);
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return dm;
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}
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}
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};
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if( _dmtx.needed() )
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struct DrawDataMatrixCode
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_dmtx.create(n, 1, CV_8U);
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{
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DrawDataMatrixCode(cv::Mat& image):image(image){}
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codes.resize(n);
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void operator()(const DataMatrixCode& code)
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for( i = 0; i < n; i++ )
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{
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{
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Scalar c(0, 255, 0);
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CvDataMatrixCode& rc_i = rc[i];
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Scalar c2(255, 0,0);
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codes[i] = string(rc_i.msg);
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line(image, code.corners[0], code.corners[1], c);
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line(image, code.corners[1], code.corners[2], c);
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if( corners.data )
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line(image, code.corners[2], code.corners[3], c);
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{
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line(image, code.corners[3], code.corners[0], c);
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const Point* srcpt = (Point*)rc_i.corners->data.ptr;
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string code_text(code.msg,4);
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Point* dstpt = (Point*)corners.ptr(i);
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//int baseline = 0;
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for( int k = 0; k < 4; k++ )
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//Size sz = getTextSize(code_text, CV_FONT_HERSHEY_SIMPLEX, 1, 1, &baseline);
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dstpt[k] = srcpt[k];
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putText(image, code_text, code.corners[0], CV_FONT_HERSHEY_SIMPLEX, 0.8, c2, 1, CV_AA, false);
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}
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cvReleaseMat(&rc_i.corners);
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if( _dmtx.needed() )
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{
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_dmtx.create(rc_i.original->rows, rc_i.original->cols, rc_i.original->type, i);
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Mat dst = _dmtx.getMat(i);
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Mat(rc_i.original).copyTo(dst);
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}
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cvReleaseMat(&rc_i.original);
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}
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}
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cv::Mat& image;
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DrawDataMatrixCode& operator=(const DrawDataMatrixCode&);
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};
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}
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}
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void findDataMatrix(const cv::Mat& image, std::vector<DataMatrixCode>& codes)
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void drawDataMatrixCodes(InputOutputArray _image,
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const vector<string>& codes,
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InputArray _corners)
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{
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{
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CvMat m(image);
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Mat image = _image.getMat();
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deque <CvDataMatrixCode> rc = cvFindDataMatrix(&m);
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Mat corners = _corners.getMat();
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codes.clear();
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int i, n = corners.rows;
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codes.resize(rc.size());
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std::transform(rc.begin(),rc.end(),codes.begin(),CvDM2DM_transform());
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if( n > 0 )
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{
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CV_Assert( corners.depth() == CV_32S &&
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corners.cols*corners.channels() == 8 &&
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n == (int)codes.size() );
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}
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for( i = 0; i < n; i++ )
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{
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Scalar c(0, 255, 0);
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Scalar c2(255, 0,0);
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const Point* pt = (const Point*)corners.ptr(i);
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for( int k = 0; k < 4; k++ )
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line(image, pt[k], pt[(k+1)%4], c);
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//int baseline = 0;
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//Size sz = getTextSize(code_text, CV_FONT_HERSHEY_SIMPLEX, 1, 1, &baseline);
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putText(image, codes[i], pt[0], CV_FONT_HERSHEY_SIMPLEX, 0.8, c2, 1, CV_AA, false);
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}
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}
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}
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void drawDataMatrixCodes(const std::vector<DataMatrixCode>& codes, Mat& drawImage)
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{
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std::for_each(codes.begin(),codes.end(),DrawDataMatrixCode(drawImage));
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}
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}
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}
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@ -21,80 +21,81 @@ using namespace std;
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//hide the local functions in an anon namespace
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//hide the local functions in an anon namespace
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namespace
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namespace
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{
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{
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void help(char** av)
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void help(char** av)
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{
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cout << "\nThis program justs gets you started reading images from video\n"
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"Usage:\n./" << av[0] << " <video device number>\n" << "q,Q,esc -- quit\n"
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<< "space -- save frame\n\n"
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<< "\tThis is a starter sample, to get you up and going in a copy pasta fashion\n"
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<< "\tThe program captures frames from a camera connected to your computer.\n"
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<< "\tTo find the video device number, try ls /dev/video* \n"
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<< "\tYou may also pass a video file, like my_vide.avi instead of a device number"
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<< "\n"
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<< "DATA:\n"
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<< "Generate a datamatrix from from http://datamatrix.kaywa.com/ \n"
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<< " NOTE: This only handles strings of len 3 or less\n"
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<< " Resize the screen to be large enough for your camera to see, and it should find an read it.\n\n"
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<< endl;
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}
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int process(VideoCapture& capture)
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{
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std::vector<DataMatrixCode> codes;
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int n = 0;
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char filename[200];
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string window_name = "video | q or esc to quit";
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cout << "press space to save a picture. q or esc to quit" << endl;
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namedWindow(window_name, CV_WINDOW_KEEPRATIO); //resizable window;
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Mat frame;
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for (;;)
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{
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capture >> frame;
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if (frame.empty())
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break;
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cv::Mat gray;
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cv::cvtColor(frame,gray,CV_RGB2GRAY);
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findDataMatrix(gray, codes);
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drawDataMatrixCodes(codes, frame);
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imshow(window_name, frame);
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char key = (char) waitKey(5); //delay N millis, usually long enough to display and capture input
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switch (key)
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{
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{
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case 'q':
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cout << "\nThis program justs gets you started reading images from video\n"
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case 'Q':
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"Usage:\n./" << av[0] << " <video device number>\n" << "q,Q,esc -- quit\n"
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case 27: //escape key
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<< "space -- save frame\n\n"
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return 0;
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<< "\tThis is a starter sample, to get you up and going in a copy pasta fashion\n"
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case ' ': //Save an image
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<< "\tThe program captures frames from a camera connected to your computer.\n"
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sprintf(filename, "filename%.3d.jpg", n++);
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<< "\tTo find the video device number, try ls /dev/video* \n"
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imwrite(filename, frame);
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<< "\tYou may also pass a video file, like my_vide.avi instead of a device number"
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cout << "Saved " << filename << endl;
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<< "\n"
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break;
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<< "DATA:\n"
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default:
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<< "Generate a datamatrix from from http://datamatrix.kaywa.com/ \n"
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break;
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<< " NOTE: This only handles strings of len 3 or less\n"
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<< " Resize the screen to be large enough for your camera to see, and it should find an read it.\n\n"
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<< endl;
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}
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}
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}
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return 0;
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int process(VideoCapture& capture)
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}
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{
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int n = 0;
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char filename[200];
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string window_name = "video | q or esc to quit";
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cout << "press space to save a picture. q or esc to quit" << endl;
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namedWindow(window_name, CV_WINDOW_KEEPRATIO); //resizable window;
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Mat frame;
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for (;;)
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{
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capture >> frame;
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if (frame.empty())
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break;
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cv::Mat gray;
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cv::cvtColor(frame,gray,CV_RGB2GRAY);
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vector<string> codes;
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Mat corners;
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findDataMatrix(gray, codes, corners);
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drawDataMatrixCodes(frame, codes, corners);
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imshow(window_name, frame);
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char key = (char) waitKey(5); //delay N millis, usually long enough to display and capture input
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switch (key)
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{
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case 'q':
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case 'Q':
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case 27: //escape key
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return 0;
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case ' ': //Save an image
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sprintf(filename, "filename%.3d.jpg", n++);
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imwrite(filename, frame);
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cout << "Saved " << filename << endl;
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break;
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default:
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break;
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}
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}
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return 0;
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}
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}
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}
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int main(int ac, char** av)
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int main(int ac, char** av)
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{
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{
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if (ac != 2)
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if (ac != 2)
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{
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{
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help(av);
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help(av);
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return 1;
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return 1;
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}
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}
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std::string arg = av[1];
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std::string arg = av[1];
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VideoCapture capture(arg); //try to open string, this will attempt to open it as a video file
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VideoCapture capture(arg); //try to open string, this will attempt to open it as a video file
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if (!capture.isOpened()) //if this fails, try to open as a video camera, through the use of an integer param
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if (!capture.isOpened()) //if this fails, try to open as a video camera, through the use of an integer param
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capture.open(atoi(arg.c_str()));
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capture.open(atoi(arg.c_str()));
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if (!capture.isOpened())
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if (!capture.isOpened())
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{
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{
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cerr << "Failed to open a video device or video file!\n" << endl;
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cerr << "Failed to open a video device or video file!\n" << endl;
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help(av);
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help(av);
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return 1;
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return 1;
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}
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}
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return process(capture);
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return process(capture);
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}
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}
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68
samples/python2/video_dmtx.py
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samples/python2/video_dmtx.py
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help='''
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Data matrix detector sample.
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Usage:
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video_dmtx {<video device number>|<video file name>}
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Generate a datamatrix from from http://datamatrix.kaywa.com/ and print it out.
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NOTE: This only handles data matrices, generated for text strings of max 3 characters
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Resize the screen to be large enough for your camera to see, and it should find an read it.
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Keyboard shortcuts:
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q or ESC - exit
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space - save current image as datamatrix<frame_number>.jpg
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'''
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import cv2
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import numpy as np
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import sys
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def data_matrix_demo(cap):
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window_name = "Data Matrix Detector"
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frame_number = 0
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need_to_save = False
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while 1:
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ret, frame = cap.read()
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if not ret:
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break
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gray = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)
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codes, corners, dmtx = cv2.findDataMatrix(gray)
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cv2.drawDataMatrixCodes(frame, codes, corners)
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cv2.imshow(window_name, frame)
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key = cv2.waitKey(30)
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c = chr(key & 255)
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if c in ['q', 'Q', chr(27)]:
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break
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if c == ' ':
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need_to_save = True
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if need_to_save and codes:
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filename = ("datamatrix%03d.jpg" % frame_number)
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cv2.imwrite(filename, frame)
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print "Saved frame to " + filename
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need_to_save = False
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frame_number += 1
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if __name__ == '__main__':
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print help
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if len(sys.argv) == 1:
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cap = cv2.VideoCapture(0)
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else:
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cap = cv2.VideoCapture(sys.argv[1])
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if not cap.isOpened():
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cap = cv2.VideoCapture(int(sys.argv[1]))
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if not cap.isOpened():
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print 'Cannot initialize video capture'
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sys.exit(-1)
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data_matrix_demo(cap)
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