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Merge remote-tracking branch 'origin/2.4' into merge-2.4

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Conflicts:
	modules/ocl/include/opencv2/ocl/ocl.hpp
	modules/ocl/src/arithm.cpp
	modules/ocl/src/build_warps.cpp
	modules/ocl/src/color.cpp
	modules/ocl/src/haar.cpp
	modules/ocl/src/imgproc.cpp
	modules/ocl/src/split_merge.cpp
	modules/ocl/test/test_color.cpp
	samples/cpp/3calibration.cpp
	samples/cpp/OpenEXRimages_HDR_Retina_toneMapping.cpp
	samples/cpp/OpenEXRimages_HDR_Retina_toneMapping_video.cpp
	samples/cpp/Qt_sample/main.cpp
	samples/cpp/camshiftdemo.cpp
	samples/cpp/descriptor_extractor_matcher.cpp
	samples/cpp/distrans.cpp
	samples/cpp/generic_descriptor_match.cpp
	samples/cpp/grabcut.cpp
	samples/cpp/morphology2.cpp
	samples/cpp/segment_objects.cpp
	samples/cpp/stereo_calib.cpp
	samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp
	samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp
	samples/cpp/tutorial_code/introduction/display_image/display_image.cpp
	samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/Test.cpp
	samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
	samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp
	samples/cpp/video_dmtx.cpp
This commit is contained in:
Roman Donchenko
2013-11-19 16:21:09 +04:00
parent b8c46f4cce 7703b63cae
commit aacf188e83
110 changed files with 3002 additions and 1780 deletions
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6
samples/cpp/OpenEXRimages_HDR_Retina_toneMapping.cpp
View File

@@ -1,10 +1,10 @@
//============================================================================
// Name : HighDynamicRange_RetinaCompression.cpp
// Name : OpenEXRimages_HDR_Retina_toneMapping.cpp
// Author : Alexandre Benoit (benoit.alexandre.vision@gmail.com)
// Version : 0.1
// Copyright : Alexandre Benoit, LISTIC Lab, july 2011
// Description : HighDynamicRange compression (tone mapping) with the help of the Gipsa/Listic's retina in C++, Ansi-style
// Description : HighDynamicRange retina tone mapping with the help of the Gipsa/Listic's retina in C++, Ansi-style
//============================================================================
#include <iostream>
@@ -71,7 +71,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
{
cv::Mat rgbIntImg;
outputMat.convertTo(rgbIntImg, CV_8UC3);
cv::cvtColor(rgbIntImg, intGrayImage, cv::COLOR_BGR2GRAY);
cvtColor(rgbIntImg, intGrayImage, cv::COLOR_BGR2GRAY);
}
// get histogram density probability in order to cut values under above edges limits (here 5-95%)... usefull for HDR pixel errors cancellation

4
samples/cpp/OpenEXRimages_HDR_Retina_toneMapping_video.cpp
View File

@@ -4,7 +4,7 @@
// Author : Alexandre Benoit (benoit.alexandre.vision@gmail.com)
// Version : 0.2
// Copyright : Alexandre Benoit, LISTIC Lab, december 2011
// Description : HighDynamicRange compression (tone mapping) for image sequences with the help of the Gipsa/Listic's retina in C++, Ansi-style
// Description : HighDynamicRange retina tone mapping for image sequences with the help of the Gipsa/Listic's retina in C++, Ansi-style
// Known issues: the input OpenEXR sequences can have bad computed pixels that should be removed
// => a simple method consists of cutting histogram edges (a slider for this on the UI is provided)
// => however, in image sequences, this histogramm cut must be done in an elegant way from frame to frame... still not done...
@@ -94,7 +94,7 @@ static void rescaleGrayLevelMat(const cv::Mat &inputMat, cv::Mat &outputMat, con
{
cv::Mat rgbIntImg;
normalisedImage.convertTo(rgbIntImg, CV_8UC3);
cv::cvtColor(rgbIntImg, intGrayImage, cv::COLOR_BGR2GRAY);
cvtColor(rgbIntImg, intGrayImage, cv::COLOR_BGR2GRAY);
}
// get histogram density probability in order to cut values under above edges limits (here 5-95%)... usefull for HDR pixel errors cancellation

49
samples/cpp/Qt_sample/main.cpp
View File

@@ -4,15 +4,11 @@
#include <iostream>
#include <vector>
#include <opencv2/core/core_c.h>
#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/legacy/compat.hpp>
#include <opencv2/calib3d/calib3d_c.h>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/calib3d.hpp>
#include <opencv2/legacy/compat.hpp>
#if defined WIN32 || defined _WIN32 || defined WINCE
#include <windows.h>
@@ -116,19 +112,16 @@ static void initPOSIT(std::vector<CvPoint3D32f> *modelPoints)
modelPoints->push_back(cvPoint3D32f(0.0f, CUBE_SIZE, 0.0f));
}
static void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImage* grayImage)
static void foundCorners(vector<CvPoint2D32f> *srcImagePoints, const Mat& source, Mat& grayImage)
{
cvCvtColor(source,grayImage,CV_RGB2GRAY);
cvSmooth( grayImage, grayImage,CV_GAUSSIAN,11);
cvNormalize(grayImage, grayImage, 0, 255, CV_MINMAX);
cvThreshold( grayImage, grayImage, 26, 255, CV_THRESH_BINARY_INV);//25
cvtColor(source, grayImage, COLOR_RGB2GRAY);
GaussianBlur(grayImage, grayImage, Size(11,11), 0, 0);
normalize(grayImage, grayImage, 0, 255, NORM_MINMAX);
threshold(grayImage, grayImage, 26, 255, THRESH_BINARY_INV); //25
Mat MgrayImage = cv::cvarrToMat(grayImage);
//For debug
//MgrayImage = MgrayImage.clone();//deep copy
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours(MgrayImage, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_NONE);
findContours(grayImage, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_NONE);
Point p;
vector<CvPoint2D32f> srcImagePoints_temp(4,cvPoint2D32f(0,0));
@@ -189,17 +182,17 @@ static void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source,
}
srcImagePoints->at(3) = srcImagePoints_temp.at(index);
Mat Msource = cv::cvarrToMat(source);
Mat Msource = source;
stringstream ss;
for(size_t i = 0 ; i<srcImagePoints_temp.size(); i++ )
{
ss<<i;
circle(Msource,srcImagePoints->at(i),5,CV_RGB(255,0,0));
putText( Msource, ss.str(), srcImagePoints->at(i),CV_FONT_HERSHEY_SIMPLEX,1,CV_RGB(255,0,0));
circle(Msource,srcImagePoints->at(i),5,Scalar(0,0,255));
putText(Msource,ss.str(),srcImagePoints->at(i),FONT_HERSHEY_SIMPLEX,1,Scalar(0,0,255));
ss.str("");
//new coordinate system in the middle of the frame and reversed (camera coordinate system)
srcImagePoints->at(i) = cvPoint2D32f(srcImagePoints_temp.at(i).x-source->width/2,source->height/2-srcImagePoints_temp.at(i).y);
srcImagePoints->at(i) = cvPoint2D32f(srcImagePoints_temp.at(i).x-source.cols/2,source.rows/2-srcImagePoints_temp.at(i).y);
}
}
@@ -232,15 +225,14 @@ int main(void)
VideoCapture video("cube4.avi");
CV_Assert(video.isOpened());
Mat frame; video >> frame;
Mat source, grayImage;
IplImage* grayImage = cvCreateImage(frame.size(),8,1);
video >> source;
namedWindow("original", WINDOW_AUTOSIZE | WINDOW_FREERATIO);
namedWindow("POSIT", WINDOW_AUTOSIZE | WINDOW_FREERATIO);
displayOverlay("POSIT", "We lost the 4 corners' detection quite often (the red circles disappear). This demo is only to illustrate how to use OpenGL callback.\n -- Press ESC to exit.", 10000);
//For debug
//cvNamedWindow("tempGray",CV_WINDOW_AUTOSIZE);
float OpenGLMatrix[]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
setOpenGlDrawCallback("POSIT",on_opengl,OpenGLMatrix);
@@ -259,25 +251,20 @@ int main(void)
while(waitKey(33) != 27)
{
video >> frame;
imshow("original", frame);
video >> source;
imshow("original",source);
IplImage source = frame;
foundCorners(&srcImagePoints, &source, grayImage);
foundCorners(&srcImagePoints, source, grayImage);
cvPOSIT( positObject, &srcImagePoints[0], FOCAL_LENGTH, criteria, rotation_matrix, translation_vector );
createOpenGLMatrixFrom(OpenGLMatrix,rotation_matrix,translation_vector);
imshow("POSIT", frame);
//For debug
//cvShowImage("tempGray",grayImage);
imshow("POSIT",source);
if (video.get(CAP_PROP_POS_AVI_RATIO) > 0.99)
video.set(CAP_PROP_POS_AVI_RATIO, 0);
}
destroyAllWindows();
cvReleaseImage(&grayImage);
video.release();
cvReleasePOSITObject(&positObject);
return 0;

4
samples/cpp/bagofwords_classification.cpp
View File

@@ -54,10 +54,6 @@ static void help(char** argv)
<< "\n";
}
static void makeDir( const string& dir )
{
#if defined WIN32 || defined _WIN32

4
samples/cpp/descriptor_extractor_matcher.cpp
View File

@@ -208,7 +208,7 @@ static void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
matchesMask[i1] = 1;
}
// draw inliers
drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, Scalar(0, 255, 0), Scalar(0, 0, 255), matchesMask
drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, Scalar(0, 255, 0), Scalar(255, 0, 0), matchesMask
#if DRAW_RICH_KEYPOINTS_MODE
, DrawMatchesFlags::DRAW_RICH_KEYPOINTS
#endif
@@ -218,7 +218,7 @@ static void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
// draw outliers
for( size_t i1 = 0; i1 < matchesMask.size(); i1++ )
matchesMask[i1] = !matchesMask[i1];
drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, Scalar(0, 0, 255), Scalar(255, 0, 0), matchesMask,
drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, Scalar(255, 0, 0), Scalar(0, 0, 255), matchesMask,
DrawMatchesFlags::DRAW_OVER_OUTIMG | DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );
#endif

2
samples/cpp/distrans.cpp
View File

@@ -130,7 +130,7 @@ int main( int argc, const char** argv )
// Call to update the view
onTrackbar(0, 0);
int c = waitKey() & 255;
int c = waitKey(0) & 255;
if( c == 27 )
break;

2
samples/cpp/em.cpp
View File

@@ -59,7 +59,7 @@ int main( int /*argc*/, char** /*argv*/ )
params.cov_mat_type = CvEM::COV_MAT_DIAGONAL;
params.start_step = CvEM::START_E_STEP;
params.means = em_model.get_means();
params.covs = (const CvMat**)em_model.get_covs();
params.covs = em_model.get_covs();
params.weights = em_model.get_weights();
em_model2.train( samples, Mat(), params, &labels );

2
samples/cpp/generic_descriptor_match.cpp
View File

@@ -80,7 +80,7 @@ Mat DrawCorrespondences(const Mat& img1, const vector<KeyPoint>& features1, cons
for (size_t i = 0; i < features1.size(); i++)
{
circle(img_corr, features1[i].pt, 3, Scalar(255, 0, 0));
circle(img_corr, features1[i].pt, 3, Scalar(0, 0, 255));
}
for (size_t i = 0; i < features2.size(); i++)

8
samples/cpp/grabcut.cpp
View File

@@ -296,15 +296,15 @@ int main( int argc, char** argv )
help();
const string winName = "image";
namedWindow( winName.c_str(), WINDOW_AUTOSIZE );
setMouseCallback( winName.c_str(), on_mouse, 0 );
namedWindow( winName, WINDOW_AUTOSIZE );
setMouseCallback( winName, on_mouse, 0 );
gcapp.setImageAndWinName( image, winName );
gcapp.showImage();
for(;;)
{
int c = waitKey();
int c = waitKey(0);
switch( (char) c )
{
case '\x1b':
@@ -331,6 +331,6 @@ int main( int argc, char** argv )
}
exit_main:
destroyWindow( winName.c_str() );
destroyWindow( winName );
return 0;
}

2
samples/cpp/morphology2.cpp
View File

@@ -77,7 +77,7 @@ int main( int argc, char** argv )
OpenClose(open_close_pos, 0);
ErodeDilate(erode_dilate_pos, 0);
c = waitKey();
c = waitKey(0);
if( (char)c == 27 )
break;

14
samples/cpp/points_classifier.cpp
View File

@@ -7,7 +7,7 @@
using namespace std;
using namespace cv;
const Scalar WHITE_COLOR = CV_RGB(255,255,255);
const Scalar WHITE_COLOR = Scalar(255,255,255);
const string winName = "points";
const int testStep = 5;
@@ -69,15 +69,15 @@ static void on_mouse( int event, int x, int y, int /*flags*/, void* )
// put the text
stringstream text;
text << "current class " << classColors.size()-1;
putText( img, text.str(), Point(10,25), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
putText( img, text.str(), Point(10,25), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
text.str("");
text << "total classes " << classColors.size();
putText( img, text.str(), Point(10,50), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
putText( img, text.str(), Point(10,50), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
text.str("");
text << "total points " << trainedPoints.size();
putText(img, text.str(), cvPoint(10,75), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
putText(img, text.str(), Point(10,75), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
// draw points
for( size_t i = 0; i < trainedPoints.size(); i++ )
@@ -178,7 +178,7 @@ static void find_decision_boundary_SVM( CvSVMParams params )
for( int i = 0; i < svmClassifier.get_support_vector_count(); i++ )
{
const float* supportVector = svmClassifier.get_support_vector(i);
circle( imgDst, Point(supportVector[0],supportVector[1]), 5, CV_RGB(255,255,255), -1 );
circle( imgDst, Point(supportVector[0],supportVector[1]), 5, Scalar(255,255,255), -1 );
}
}
@@ -526,7 +526,7 @@ int main()
{
#if _NBC_
find_decision_boundary_NBC();
cvNamedWindow( "NormalBayesClassifier", WINDOW_AUTOSIZE );
namedWindow( "NormalBayesClassifier", WINDOW_AUTOSIZE );
imshow( "NormalBayesClassifier", imgDst );
#endif
#if _KNN_
@@ -560,7 +560,7 @@ int main()
params.C = 10;
find_decision_boundary_SVM( params );
cvNamedWindow( "classificationSVM2", WINDOW_AUTOSIZE );
namedWindow( "classificationSVM2", WINDOW_AUTOSIZE );
imshow( "classificationSVM2", imgDst );
#endif

2
samples/cpp/segment_objects.cpp
View File

@@ -96,8 +96,6 @@ int main(int argc, char** argv)
if( !tmp_frame.data )
break;
bgsubtractor->apply(tmp_frame, bgmask, update_bg_model ? -1 : 0);
//CvMat _bgmask = bgmask;
//cvSegmentFGMask(&_bgmask);
refineSegments(tmp_frame, bgmask, out_frame);
imshow("video", tmp_frame);
imshow("segmented", out_frame);

17
samples/cpp/tutorial_code/HighGUI/BasicLinearTransformsTrackbar.cpp
View File

@@ -24,17 +24,14 @@ Mat image;
*/
static void on_trackbar( int, void* )
{
Mat new_image = Mat::zeros( image.size(), image.type() );
Mat new_image = Mat::zeros( image.size(), image.type() );
for( int y = 0; y < image.rows; y++ )
{ for( int x = 0; x < image.cols; x++ )
{ for( int c = 0; c < 3; c++ )
{
new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta );
}
}
}
imshow("New Image", new_image);
for( int y = 0; y < image.rows; y++ )
for( int x = 0; x < image.cols; x++ )
for( int c = 0; c < 3; c++ )
new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta );
imshow("New Image", new_image);
}

44
samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp
View File

@@ -22,24 +22,25 @@ int main( int argc, char** argv )
Mat src_test2, hsv_test2;
Mat hsv_half_down;
/// Load three images with different environment settings
if( argc < 4 )
{ printf("** Error. Usage: ./compareHist_Demo <image_settings0> <image_setting1> <image_settings2>\n");
return -1;
}
/// Load three images with different environment settings
if( argc < 4 )
{
printf("** Error. Usage: ./compareHist_Demo <image_settings0> <image_setting1> <image_settings2>\n");
return -1;
}
src_base = imread( argv[1], 1 );
src_test1 = imread( argv[2], 1 );
src_test2 = imread( argv[3], 1 );
src_base = imread( argv[1], 1 );
src_test1 = imread( argv[2], 1 );
src_test2 = imread( argv[3], 1 );
/// Convert to HSV
cvtColor( src_base, hsv_base, COLOR_BGR2HSV );
cvtColor( src_test1, hsv_test1, COLOR_BGR2HSV );
cvtColor( src_test2, hsv_test2, COLOR_BGR2HSV );
/// Convert to HSV
cvtColor( src_base, hsv_base, COLOR_BGR2HSV );
cvtColor( src_test1, hsv_test1, COLOR_BGR2HSV );
cvtColor( src_test2, hsv_test2, COLOR_BGR2HSV );
hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows - 1 ), Range( 0, hsv_base.cols - 1 ) );
hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows - 1 ), Range( 0, hsv_base.cols - 1 ) );
/// Using 30 bins for hue and 32 for saturation
/// Using 30 bins for hue and 32 for saturation
int h_bins = 50; int s_bins = 60;
int histSize[] = { h_bins, s_bins };
@@ -74,14 +75,15 @@ int main( int argc, char** argv )
/// Apply the histogram comparison methods
for( int i = 0; i < 4; i++ )
{ int compare_method = i;
double base_base = compareHist( hist_base, hist_base, compare_method );
double base_half = compareHist( hist_base, hist_half_down, compare_method );
double base_test1 = compareHist( hist_base, hist_test1, compare_method );
double base_test2 = compareHist( hist_base, hist_test2, compare_method );
{
int compare_method = i;
double base_base = compareHist( hist_base, hist_base, compare_method );
double base_half = compareHist( hist_base, hist_half_down, compare_method );
double base_test1 = compareHist( hist_base, hist_test1, compare_method );
double base_test2 = compareHist( hist_base, hist_test2, compare_method );
printf( " Method [%d] Perfect, Base-Half, Base-Test(1), Base-Test(2) : %f, %f, %f, %f \n", i, base_base, base_half , base_test1, base_test2 );
}
printf( " Method [%d] Perfect, Base-Half, Base-Test(1), Base-Test(2) : %f, %f, %f, %f \n", i, base_base, base_half , base_test1, base_test2 );
}
printf( "Done \n" );

8
samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp
View File

@@ -46,13 +46,13 @@ int main( int, char** argv )
/// Create Trackbar to select kernel type
createTrackbar( "Element:\n 0: Rect - 1: Cross - 2: Ellipse", window_name,
&morph_elem, max_elem,
Morphology_Operations );
&morph_elem, max_elem,
Morphology_Operations );
/// Create Trackbar to choose kernel size
createTrackbar( "Kernel size:\n 2n +1", window_name,
&morph_size, max_kernel_size,
Morphology_Operations );
&morph_size, max_kernel_size,
Morphology_Operations );
/// Default start
Morphology_Operations( 0, 0 );

8
samples/cpp/tutorial_code/ImgProc/Threshold.cpp
View File

@@ -44,12 +44,12 @@ int main( int, char** argv )
/// Create Trackbar to choose type of Threshold
createTrackbar( trackbar_type,
window_name, &threshold_type,
max_type, Threshold_Demo );
window_name, &threshold_type,
max_type, Threshold_Demo );
createTrackbar( trackbar_value,
window_name, &threshold_value,
max_value, Threshold_Demo );
window_name, &threshold_value,
max_value, Threshold_Demo );
/// Call the function to initialize
Threshold_Demo( 0, 0 );

2
samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp
View File

@@ -62,7 +62,7 @@ void thresh_callback(int, void* )
findContours( threshold_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
/// Find the convex hull object for each contour
vector<vector<Point> >hull( contours.size() );
vector<vector<Point> >hull( contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{ convexHull( Mat(contours[i]), hull[i], false ); }

4
samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp
View File

@@ -43,7 +43,7 @@ int main( int argc, char* argv[])
cout << "Hand written function times passed in seconds: " << t << endl;
imshow("Output", J);
waitKey();
waitKey(0);
Mat kern = (Mat_<char>(3,3) << 0, -1, 0,
-1, 5, -1,
@@ -55,7 +55,7 @@ int main( int argc, char* argv[])
imshow("Output", K);
waitKey();
waitKey(0);
return 0;
}
void Sharpen(const Mat& myImage,Mat& Result)

4
samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/Test.cpp
View File

@@ -76,8 +76,8 @@ int main(int argc, char *argv[])
// Windows
namedWindow(WIN_RF, WINDOW_AUTOSIZE );
namedWindow(WIN_UT, WINDOW_AUTOSIZE );
moveWindow(WIN_RF, 400 , 0); //750, 2 (bernat =0)
moveWindow(WIN_UT, refS.width, 0); //1500, 2
moveWindow(WIN_RF, 400 , 0); //750, 2 (bernat =0)
moveWindow(WIN_UT, refS.width, 0); //1500, 2
cout << "Frame resolution: Width=" << refS.width << " Height=" << refS.height
<< " of nr#: " << captRefrnc.get(CAP_PROP_FRAME_COUNT) << endl;

2
samples/cpp/video_dmtx.cpp
View File

@@ -52,7 +52,7 @@ namespace
if (frame.empty())
break;
cv::Mat gray;
cv::cvtColor(frame,gray, COLOR_RGB2GRAY);
cv::cvtColor(frame,gray,COLOR_RGB2GRAY);
vector<String> codes;
Mat corners;
findDataMatrix(gray, codes, corners);