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Merge remote-tracking branch 'upstream/master'

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Conflicts:
	modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
This commit is contained in:
edgarriba
2014-08-05 12:59:47 +02:00
parent 3e2a57ff35 a05ce00a65
commit a3e74ec521
1011 changed files with 94453 additions and 196987 deletions
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1
samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdio.h>

1
samples/cpp/tutorial_code/HighGUI/BasicLinearTransformsTrackbar.cpp
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@@ -5,6 +5,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
using namespace cv;

1
samples/cpp/tutorial_code/HighGUI/video-input-psnr-ssim/video-input-psnr-ssim.cpp
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@@ -5,6 +5,7 @@
#include <opencv2/core/core.hpp> // Basic OpenCV structures (cv::Mat, Scalar)
#include <opencv2/imgproc/imgproc.hpp> // Gaussian Blur
#include <opencv2/videoio/videoio.hpp>
#include <opencv2/highgui/highgui.hpp> // OpenCV window I/O
using namespace std;

2
samples/cpp/tutorial_code/HighGUI/video-write/video-write.cpp
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@@ -2,7 +2,7 @@
#include <string> // for strings
#include <opencv2/core/core.hpp> // Basic OpenCV structures (cv::Mat)
#include <opencv2/highgui/highgui.hpp> // Video write
#include <opencv2/videoio/videoio.hpp> // Video write
using namespace std;
using namespace cv;

1
samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

3
samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
@@ -60,7 +61,7 @@ void MatchingMethod( int, void* )
int result_cols = img.cols - templ.cols + 1;
int result_rows = img.rows - templ.rows + 1;
result.create( result_cols, result_rows, CV_32FC1 );
result.create( result_rows, result_cols, CV_32FC1 );
/// Do the Matching and Normalize
matchTemplate( img, templ, result, match_method );

1
samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>

1
samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ImgProc/AddingImages.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ImgProc/BasicLinearTransforms.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

1
samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

1
samples/cpp/tutorial_code/ImgProc/Pyramids.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <math.h>
#include <stdlib.h>

1
samples/cpp/tutorial_code/ImgProc/Smoothing.cpp
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@@ -7,6 +7,7 @@
#include <vector>
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/features2d/features2d.hpp"

1
samples/cpp/tutorial_code/ImgProc/Threshold.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

1
samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

1
samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

1
samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp
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@@ -4,6 +4,7 @@
* @author Ana Huaman
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

1
samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

1
samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp
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@@ -5,6 +5,7 @@
*/
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

1
samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp
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@@ -3,6 +3,7 @@
* @brief Demo code for detecting corners using OpenCV built-in functions
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp
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@@ -4,6 +4,7 @@
* @author OpenCV team
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

2
samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp
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@@ -7,6 +7,8 @@
#include <opencv2/core/utility.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/calib3d.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#ifndef _CRT_SECURE_NO_WARNINGS

1
samples/cpp/tutorial_code/calib3d/stereoBM/SBM_Sample.cpp
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@@ -8,6 +8,7 @@
#include <iostream>
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/core/core.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
using namespace cv;

1
samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp
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@@ -1,5 +1,6 @@
#include "opencv2/core/core.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>

1
samples/cpp/tutorial_code/core/how_to_scan_images/how_to_scan_images.cpp
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@@ -1,5 +1,6 @@
#include <opencv2/core.hpp>
#include <opencv2/core/utility.hpp>
#include "opencv2/imgcodecs.hpp"
#include <opencv2/highgui.hpp>
#include <iostream>
#include <sstream>

2
samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp
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@@ -3,6 +3,7 @@
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include "opencv2/imgcodecs.hpp"
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/core/utility.hpp>
@@ -24,6 +25,7 @@ static void help( char* progName)
#ifdef DEMO_MIXED_API_USE
# include <opencv2/highgui/highgui_c.h>
# include <opencv2/imgcodecs/imgcodecs_c.h>
#endif
int main( int argc, char** argv )

1
samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp
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@@ -1,5 +1,6 @@
#include <opencv2/core.hpp>
#include <opencv2/core/utility.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <iostream>

79
samples/cpp/tutorial_code/features2D/AKAZE_match.cpp Executable file
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@@ -0,0 +1,79 @@
#include <opencv2/features2d.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/opencv.hpp>
#include <vector>
#include <iostream>
using namespace std;
using namespace cv;
const float inlier_threshold = 2.5f; // Distance threshold to identify inliers
const float nn_match_ratio = 0.8f; // Nearest neighbor matching ratio
int main(void)
{
Mat img1 = imread("graf1.png", IMREAD_GRAYSCALE);
Mat img2 = imread("graf3.png", IMREAD_GRAYSCALE);
Mat homography;
FileStorage fs("H1to3p.xml", FileStorage::READ);
fs.getFirstTopLevelNode() >> homography;
vector<KeyPoint> kpts1, kpts2;
Mat desc1, desc2;
AKAZE akaze;
akaze(img1, noArray(), kpts1, desc1);
akaze(img2, noArray(), kpts2, desc2);
BFMatcher matcher(NORM_HAMMING);
vector< vector<DMatch> > nn_matches;
matcher.knnMatch(desc1, desc2, nn_matches, 2);
vector<KeyPoint> matched1, matched2, inliers1, inliers2;
vector<DMatch> good_matches;
for(size_t i = 0; i < nn_matches.size(); i++) {
DMatch first = nn_matches[i][0];
float dist1 = nn_matches[i][0].distance;
float dist2 = nn_matches[i][1].distance;
if(dist1 < nn_match_ratio * dist2) {
matched1.push_back(kpts1[first.queryIdx]);
matched2.push_back(kpts2[first.trainIdx]);
}
}
for(unsigned i = 0; i < matched1.size(); i++) {
Mat col = Mat::ones(3, 1, CV_64F);
col.at<double>(0) = matched1[i].pt.x;
col.at<double>(1) = matched1[i].pt.y;
col = homography * col;
col /= col.at<double>(2);
double dist = sqrt( pow(col.at<double>(0) - matched2[i].pt.x, 2) +
pow(col.at<double>(1) - matched2[i].pt.y, 2));
if(dist < inlier_threshold) {
int new_i = static_cast<int>(inliers1.size());
inliers1.push_back(matched1[i]);
inliers2.push_back(matched2[i]);
good_matches.push_back(DMatch(new_i, new_i, 0));
}
}
Mat res;
drawMatches(img1, inliers1, img2, inliers2, good_matches, res);
imwrite("res.png", res);
double inlier_ratio = inliers1.size() * 1.0 / matched1.size();
cout << "A-KAZE Matching Results" << endl;
cout << "*******************************" << endl;
cout << "# Keypoints 1: \t" << kpts1.size() << endl;
cout << "# Keypoints 2: \t" << kpts2.size() << endl;
cout << "# Matches: \t" << matched1.size() << endl;
cout << "# Inliers: \t" << inliers1.size() << endl;
cout << "# Inliers Ratio: \t" << inlier_ratio << endl;
cout << endl;
return 0;
}

1
samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp
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@@ -8,6 +8,7 @@
#include <iostream>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/features2d.hpp"

1
samples/cpp/tutorial_code/features2D/SURF_Homography.cpp
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@@ -8,6 +8,7 @@
#include <iostream>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/nonfree/features2d.hpp"

1
samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp
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@@ -8,6 +8,7 @@
#include <iostream>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/features2d.hpp"

1
samples/cpp/tutorial_code/features2D/SURF_detector.cpp
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@@ -8,6 +8,7 @@
#include <iostream>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/features2d.hpp"

2
samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity.cpp
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@@ -4,7 +4,7 @@
#include <opencv2/core.hpp> // Basic OpenCV structures
#include <opencv2/core/utility.hpp>
#include <opencv2/imgproc.hpp>// Image processing methods for the CPU
#include <opencv2/highgui.hpp>// Read images
#include <opencv2/imgcodecs.hpp>// Read images
// CUDA structures and methods
#include <opencv2/cudaarithm.hpp>

1
samples/cpp/tutorial_code/introduction/display_image/display_image.cpp
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@@ -1,4 +1,5 @@
#include <opencv2/core/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <iostream>

1
samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/introduction_windows_vs.cpp
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@@ -1,4 +1,5 @@
#include <opencv2/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>

37
samples/cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp
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@@ -1,31 +1,32 @@
#include <opencv2/core/core.hpp>
#include "opencv2/imgcodecs.hpp"
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/ml/ml.hpp>
using namespace cv;
using namespace cv::ml;
int main()
int main(int, char**)
{
// Data for visual representation
int width = 512, height = 512;
Mat image = Mat::zeros(height, width, CV_8UC3);
// Set up training data
float labels[4] = {1.0, -1.0, -1.0, -1.0};
Mat labelsMat(4, 1, CV_32FC1, labels);
int labels[4] = {1, -1, -1, -1};
Mat labelsMat(4, 1, CV_32SC1, labels);
float trainingData[4][2] = { {501, 10}, {255, 10}, {501, 255}, {10, 501} };
Mat trainingDataMat(4, 2, CV_32FC1, trainingData);
// Set up SVM's parameters
CvSVMParams params;
params.svm_type = CvSVM::C_SVC;
params.kernel_type = CvSVM::LINEAR;
params.term_crit = cvTermCriteria(CV_TERMCRIT_ITER, 100, 1e-6);
SVM::Params params;
params.svmType = SVM::C_SVC;
params.kernelType = SVM::LINEAR;
params.termCrit = TermCriteria(TermCriteria::MAX_ITER, 100, 1e-6);
// Train the SVM
CvSVM SVM;
SVM.train(trainingDataMat, labelsMat, Mat(), Mat(), params);
Ptr<SVM> svm = StatModel::train<SVM>(trainingDataMat, ROW_SAMPLE, labelsMat, params);
Vec3b green(0,255,0), blue (255,0,0);
// Show the decision regions given by the SVM
@@ -33,30 +34,30 @@ int main()
for (int j = 0; j < image.cols; ++j)
{
Mat sampleMat = (Mat_<float>(1,2) << j,i);
float response = SVM.predict(sampleMat);
float response = svm->predict(sampleMat);
if (response == 1)
image.at<Vec3b>(i,j) = green;
else if (response == -1)
image.at<Vec3b>(i,j) = blue;
image.at<Vec3b>(i,j) = blue;
}
// Show the training data
int thickness = -1;
int lineType = 8;
circle( image, Point(501, 10), 5, Scalar( 0, 0, 0), thickness, lineType);
circle( image, Point(255, 10), 5, Scalar(255, 255, 255), thickness, lineType);
circle( image, Point(501, 255), 5, Scalar(255, 255, 255), thickness, lineType);
circle( image, Point( 10, 501), 5, Scalar(255, 255, 255), thickness, lineType);
circle( image, Point(501, 10), 5, Scalar( 0, 0, 0), thickness, lineType );
circle( image, Point(255, 10), 5, Scalar(255, 255, 255), thickness, lineType );
circle( image, Point(501, 255), 5, Scalar(255, 255, 255), thickness, lineType );
circle( image, Point( 10, 501), 5, Scalar(255, 255, 255), thickness, lineType );
// Show support vectors
thickness = 2;
lineType = 8;
int c = SVM.get_support_vector_count();
Mat sv = svm->getSupportVectors();
for (int i = 0; i < c; ++i)
for (int i = 0; i < sv.rows; ++i)
{
const float* v = SVM.get_support_vector(i);
const float* v = sv.ptr<float>(i);
circle( image, Point( (int) v[0], (int) v[1]), 6, Scalar(128, 128, 128), thickness, lineType);
}

23
samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp
View File

@@ -1,5 +1,6 @@
#include <iostream>
#include <opencv2/core/core.hpp>
#include "opencv2/imgcodecs.hpp"
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/ml/ml.hpp>
@@ -7,6 +8,7 @@
#define FRAC_LINEAR_SEP 0.9f // Fraction of samples which compose the linear separable part
using namespace cv;
using namespace cv::ml;
using namespace std;
static void help()
@@ -29,7 +31,7 @@ int main()
//--------------------- 1. Set up training data randomly ---------------------------------------
Mat trainData(2*NTRAINING_SAMPLES, 2, CV_32FC1);
Mat labels (2*NTRAINING_SAMPLES, 1, CV_32FC1);
Mat labels (2*NTRAINING_SAMPLES, 1, CV_32SC1);
RNG rng(100); // Random value generation class
@@ -70,16 +72,15 @@ int main()
labels.rowRange(NTRAINING_SAMPLES, 2*NTRAINING_SAMPLES).setTo(2); // Class 2
//------------------------ 2. Set up the support vector machines parameters --------------------
CvSVMParams params;
params.svm_type = SVM::C_SVC;
SVM::Params params;
params.svmType = SVM::C_SVC;
params.C = 0.1;
params.kernel_type = SVM::LINEAR;
params.term_crit = TermCriteria(CV_TERMCRIT_ITER, (int)1e7, 1e-6);
params.kernelType = SVM::LINEAR;
params.termCrit = TermCriteria(TermCriteria::MAX_ITER, (int)1e7, 1e-6);
//------------------------ 3. Train the svm ----------------------------------------------------
cout << "Starting training process" << endl;
CvSVM svm;
svm.train(trainData, labels, Mat(), Mat(), params);
Ptr<SVM> svm = StatModel::train<SVM>(trainData, ROW_SAMPLE, labels, params);
cout << "Finished training process" << endl;
//------------------------ 4. Show the decision regions ----------------------------------------
@@ -88,7 +89,7 @@ int main()
for (int j = 0; j < I.cols; ++j)
{
Mat sampleMat = (Mat_<float>(1,2) << i, j);
float response = svm.predict(sampleMat);
float response = svm->predict(sampleMat);
if (response == 1) I.at<Vec3b>(j, i) = green;
else if (response == 2) I.at<Vec3b>(j, i) = blue;
@@ -116,11 +117,11 @@ int main()
//------------------------- 6. Show support vectors --------------------------------------------
thick = 2;
lineType = 8;
int x = svm.get_support_vector_count();
Mat sv = svm->getSupportVectors();
for (int i = 0; i < x; ++i)
for (int i = 0; i < sv.rows; ++i)
{
const float* v = svm.get_support_vector(i);
const float* v = sv.ptr<float>(i);
circle( I, Point( (int) v[0], (int) v[1]), 6, Scalar(128, 128, 128), thick, lineType);
}

1
samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
View File

@@ -1,4 +1,5 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"

1
samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp
View File

@@ -4,6 +4,7 @@
* @brief A simplified version of facedetect.cpp, show how to load a cascade classifier and how to find objects (Face + eyes) in a video stream - Using LBP here
*/
#include "opencv2/objdetect.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"

40
samples/cpp/tutorial_code/photo/decolorization/decolor.cpp Normal file
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@@ -0,0 +1,40 @@
/*
* decolor.cpp
*
* Author:
* Siddharth Kherada <siddharthkherada27[at]gmail[dot]com>
*
* This tutorial demonstrates how to use OpenCV Decolorization Module.
*
* Input:
* Color Image
*
* Output:
* 1) Grayscale image
* 2) Color boost image
*
*/
#include "opencv2/photo.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#include <iostream>
using namespace std;
using namespace cv;
int main(int argc, char *argv[])
{
CV_Assert(argc == 2);
Mat I;
I = imread(argv[1]);
Mat gray = Mat(I.size(),CV_8UC1);
Mat color_boost = Mat(I.size(),CV_8UC3);
decolor(I,gray,color_boost);
imshow("grayscale",gray);
imshow("color_boost",color_boost);
waitKey(0);
}

1
samples/cpp/tutorial_code/photo/hdr_imaging/hdr_imaging.cpp
View File

@@ -1,4 +1,5 @@
#include <opencv2/photo.hpp>
#include "opencv2/imgcodecs.hpp"
#include <opencv2/highgui.hpp>
#include <vector>
#include <iostream>

96
samples/cpp/tutorial_code/photo/non_photorealistic_rendering/npr_demo.cpp Normal file
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@@ -0,0 +1,96 @@
/*
* npr_demo.cpp
*
* Author:
* Siddharth Kherada <siddharthkherada27[at]gmail[dot]com>
*
* This tutorial demonstrates how to use OpenCV Non-Photorealistic Rendering Module.
* 1) Edge Preserve Smoothing
* -> Using Normalized convolution Filter
* -> Using Recursive Filter
* 2) Detail Enhancement
* 3) Pencil sketch/Color Pencil Drawing
* 4) Stylization
*
*/
#include <signal.h>
#include "opencv2/photo.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#include <iostream>
#include <stdlib.h>
using namespace std;
using namespace cv;
int main(int argc, char* argv[])
{
if(argc < 2)
{
cout << "usage: " << argv[0] << " <Input image> " << endl;
exit(0);
}
int num,type;
Mat I = imread(argv[1]);
if(!I.data)
{
cout << "Image not found" << endl;
exit(0);
}
cout << endl;
cout << " Edge Preserve Filter" << endl;
cout << "----------------------" << endl;
cout << "Options: " << endl;
cout << endl;
cout << "1) Edge Preserve Smoothing" << endl;
cout << " -> Using Normalized convolution Filter" << endl;
cout << " -> Using Recursive Filter" << endl;
cout << "2) Detail Enhancement" << endl;
cout << "3) Pencil sketch/Color Pencil Drawing" << endl;
cout << "4) Stylization" << endl;
cout << endl;
cout << "Press number 1-4 to choose from above techniques: ";
cin >> num;
Mat img;
if(num == 1)
{
cout << endl;
cout << "Press 1 for Normalized Convolution Filter and 2 for Recursive Filter: ";
cin >> type;
edgePreservingFilter(I,img,type);
imshow("Edge Preserve Smoothing",img);
}
else if(num == 2)
{
detailEnhance(I,img);
imshow("Detail Enhanced",img);
}
else if(num == 3)
{
Mat img1;
pencilSketch(I,img1, img, 10 , 0.1f, 0.03f);
imshow("Pencil Sketch",img1);
imshow("Color Pencil Sketch",img);
}
else if(num == 4)
{
stylization(I,img);
imshow("Stylization",img);
}
waitKey(0);
}

246
samples/cpp/tutorial_code/photo/seamless_cloning/cloning_demo.cpp Normal file
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@@ -0,0 +1,246 @@
/*
* cloning_demo.cpp
*
* Author:
* Siddharth Kherada <siddharthkherada27[at]gmail[dot]com>
*
* This tutorial demonstrates how to use OpenCV seamless cloning
* module without GUI.
*
* 1- Normal Cloning
* 2- Mixed Cloning
* 3- Monochrome Transfer
* 4- Color Change
* 5- Illumination change
* 6- Texture Flattening
* The program takes as input a source and a destination image (for 1-3 methods)
* and ouputs the cloned image.
*
* Download test images from opencv_extra folder @github.
*
*/
#include "opencv2/photo.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#include <iostream>
#include <stdlib.h>
using namespace std;
using namespace cv;
int main()
{
cout << endl;
cout << "Cloning Module" << endl;
cout << "---------------" << endl;
cout << "Options: " << endl;
cout << endl;
cout << "1) Normal Cloning " << endl;
cout << "2) Mixed Cloning " << endl;
cout << "3) Monochrome Transfer " << endl;
cout << "4) Local Color Change " << endl;
cout << "5) Local Illumination Change " << endl;
cout << "6) Texture Flattening " << endl;
cout << endl;
cout << "Press number 1-6 to choose from above techniques: ";
int num = 1;
cin >> num;
cout << endl;
if(num == 1)
{
string folder = "cloning/Normal_Cloning/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "destination1.png";
string original_path3 = folder + "mask.png";
Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR);
Mat mask = imread(original_path3, IMREAD_COLOR);
if(source.empty())
{
cout << "Could not load source image " << original_path1 << endl;
exit(0);
}
if(destination.empty())
{
cout << "Could not load destination image " << original_path2 << endl;
exit(0);
}
if(mask.empty())
{
cout << "Could not load mask image " << original_path3 << endl;
exit(0);
}
Mat result;
Point p;
p.x = 400;
p.y = 100;
seamlessClone(source, destination, mask, p, result, 1);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
}
else if(num == 2)
{
string folder = "cloning/Mixed_Cloning/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "destination1.png";
string original_path3 = folder + "mask.png";
Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR);
Mat mask = imread(original_path3, IMREAD_COLOR);
if(source.empty())
{
cout << "Could not load source image " << original_path1 << endl;
exit(0);
}
if(destination.empty())
{
cout << "Could not load destination image " << original_path2 << endl;
exit(0);
}
if(mask.empty())
{
cout << "Could not load mask image " << original_path3 << endl;
exit(0);
}
Mat result;
Point p;
p.x = destination.size().width/2;
p.y = destination.size().height/2;
seamlessClone(source, destination, mask, p, result, 2);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
}
else if(num == 3)
{
string folder = "cloning/Monochrome_Transfer/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "destination1.png";
string original_path3 = folder + "mask.png";
Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR);
Mat mask = imread(original_path3, IMREAD_COLOR);
if(source.empty())
{
cout << "Could not load source image " << original_path1 << endl;
exit(0);
}
if(destination.empty())
{
cout << "Could not load destination image " << original_path2 << endl;
exit(0);
}
if(mask.empty())
{
cout << "Could not load mask image " << original_path3 << endl;
exit(0);
}
Mat result;
Point p;
p.x = destination.size().width/2;
p.y = destination.size().height/2;
seamlessClone(source, destination, mask, p, result, 3);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
}
else if(num == 4)
{
string folder = "cloning/Color_Change/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "mask.png";
Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR);
if(source.empty())
{
cout << "Could not load source image " << original_path1 << endl;
exit(0);
}
if(mask.empty())
{
cout << "Could not load mask image " << original_path2 << endl;
exit(0);
}
Mat result;
colorChange(source, mask, result, 1.5, .5, .5);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
}
else if(num == 5)
{
string folder = "cloning/Illumination_Change/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "mask.png";
Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR);
if(source.empty())
{
cout << "Could not load source image " << original_path1 << endl;
exit(0);
}
if(mask.empty())
{
cout << "Could not load mask image " << original_path2 << endl;
exit(0);
}
Mat result;
illuminationChange(source, mask, result, 0.2f, 0.4f);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
}
else if(num == 6)
{
string folder = "cloning/Texture_Flattening/";
string original_path1 = folder + "source1.png";
string original_path2 = folder + "mask.png";
Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR);
if(source.empty())
{
cout << "Could not load source image " << original_path1 << endl;
exit(0);
}
if(mask.empty())
{
cout << "Could not load mask image " << original_path2 << endl;
exit(0);
}
Mat result;
textureFlattening(source, mask, result, 30, 45, 3);
imshow("Output",result);
imwrite(folder + "cloned.png", result);
}
waitKey(0);
}

546
samples/cpp/tutorial_code/photo/seamless_cloning/cloning_gui.cpp Normal file
View File

@@ -0,0 +1,546 @@
/*
* cloning.cpp
*
* Author:
* Siddharth Kherada <siddharthkherada27[at]gmail[dot]com>
*
* This tutorial demonstrates how to use OpenCV seamless cloning
* module.
*
* 1- Normal Cloning
* 2- Mixed Cloning
* 3- Monochrome Transfer
* 4- Color Change
* 5- Illumination change
* 6- Texture Flattening
* The program takes as input a source and a destination image (for 1-3 methods)
* and ouputs the cloned image.
* Step 1:
* -> In the source image, select the region of interest by left click mouse button. A Polygon ROI will be created by left clicking mouse button.
* -> To set the Polygon ROI, click the right mouse button or 'd' key.
* -> To reset the region selected, click the middle mouse button or 'r' key.
* Step 2:
* -> In the destination image, select the point where you want to place the ROI in the image by left clicking mouse button.
* -> To get the cloned result, click the right mouse button or 'c' key.
* -> To quit the program, use 'q' key.
*
* Result: The cloned image will be displayed.
*/
#include <signal.h>
#include "opencv2/photo.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#include <iostream>
#include <stdlib.h>
using namespace std;
using namespace cv;
Mat img0, img1, img2, res, res1, final, final1, blend;
Point point;
int drag = 0;
int destx, desty;
int numpts = 100;
Point* pts = new Point[100];
Point* pts2 = new Point[100];
Point* pts_diff = new Point[100];
int var = 0;
int flag = 0, flag1 = 0, flag4 = 0;
int minx, miny, maxx, maxy, lenx, leny;
int minxd, minyd, maxxd, maxyd, lenxd, lenyd;
int channel, num, kernel_size;
float alpha,beta;
float red, green, blue;
double low_t, high_t;
void source(int, int, int, int, void*);
void destination(int, int, int, int, void*);
void checkfile(char*);
void source(int event, int x, int y, int, void*)
{
if (event == EVENT_LBUTTONDOWN && !drag)
{
if(flag1 == 0)
{
if(var==0)
img1 = img0.clone();
point = Point(x, y);
circle(img1,point,2,Scalar(0, 0, 255),-1, 8, 0);
pts[var] = point;
var++;
drag = 1;
if(var>1)
line(img1,pts[var-2], point, Scalar(0, 0, 255), 2, 8, 0);
imshow("Source", img1);
}
}
if (event == EVENT_LBUTTONUP && drag)
{
imshow("Source", img1);
drag = 0;
}
if (event == EVENT_RBUTTONDOWN)
{
flag1 = 1;
img1 = img0.clone();
for(int i = var; i < numpts ; i++)
pts[i] = point;
if(var!=0)
{
const Point* pts3[1] = {&pts[0]};
polylines( img1, pts3, &numpts,1, 1, Scalar(0,0,0), 2, 8, 0);
}
for(int i=0;i<var;i++)
{
minx = min(minx,pts[i].x);
maxx = max(maxx,pts[i].x);
miny = min(miny,pts[i].y);
maxy = max(maxy,pts[i].y);
}
lenx = maxx - minx;
leny = maxy - miny;
int mid_pointx = minx + lenx/2;
int mid_pointy = miny + leny/2;
for(int i=0;i<var;i++)
{
pts_diff[i].x = pts[i].x - mid_pointx;
pts_diff[i].y = pts[i].y - mid_pointy;
}
imshow("Source", img1);
}
if (event == EVENT_RBUTTONUP)
{
flag = var;
final = Mat::zeros(img0.size(),CV_8UC3);
res1 = Mat::zeros(img0.size(),CV_8UC1);
const Point* pts4[1] = {&pts[0]};
fillPoly(res1, pts4,&numpts, 1, Scalar(255, 255, 255), 8, 0);
bitwise_and(img0, img0, final,res1);
imshow("Source", img1);
if(num == 4)
{
colorChange(img0,res1,blend,red,green,blue);
imshow("Color Change Image", blend);
waitKey(0);
}
else if(num == 5)
{
illuminationChange(img0,res1,blend,alpha,beta);
imshow("Illum Change Image", blend);
waitKey(0);
}
else if(num == 6)
{
textureFlattening(img0,res1,blend,low_t,high_t,kernel_size);
imshow("Texture Flattened", blend);
waitKey(0);
}
}
if (event == EVENT_MBUTTONDOWN)
{
for(int i = 0; i < numpts ; i++)
{
pts[i].x=0;
pts[i].y=0;
}
var = 0;
flag1 = 0;
minx = INT_MAX; miny = INT_MAX; maxx = INT_MIN; maxy = INT_MIN;
imshow("Source", img0);
if(num == 1 || num == 2 || num == 3)
imshow("Destination",img2);
drag = 0;
}
}
void destination(int event, int x, int y, int, void*)
{
Mat im1;
minxd = INT_MAX; minyd = INT_MAX; maxxd = INT_MIN; maxyd = INT_MIN;
im1 = img2.clone();
if (event == EVENT_LBUTTONDOWN)
{
flag4 = 1;
if(flag1 == 1)
{
point = Point(x, y);
for(int i=0;i<var;i++)
{
pts2[i].x = point.x + pts_diff[i].x;
pts2[i].y = point.y + pts_diff[i].y;
}
for(int i=var;i<numpts;i++)
{
pts2[i].x = point.x + pts_diff[0].x;
pts2[i].y = point.y + pts_diff[0].y;
}
const Point* pts5[1] = {&pts2[0]};
polylines( im1, pts5, &numpts,1, 1, Scalar(0,0,255), 2, 8, 0);
destx = x;
desty = y;
imshow("Destination", im1);
}
}
if (event == EVENT_RBUTTONUP)
{
for(int i=0;i<flag;i++)
{
minxd = min(minxd,pts2[i].x);
maxxd = max(maxxd,pts2[i].x);
minyd = min(minyd,pts2[i].y);
maxyd = max(maxyd,pts2[i].y);
}
if(maxxd > im1.size().width || maxyd > im1.size().height || minxd < 0 || minyd < 0)
{
cout << "Index out of range" << endl;
exit(0);
}
final1 = Mat::zeros(img2.size(),CV_8UC3);
res = Mat::zeros(img2.size(),CV_8UC1);
for(int i=miny, k=minyd;i<(miny+leny);i++,k++)
for(int j=minx,l=minxd ;j<(minx+lenx);j++,l++)
{
for(int c=0;c<channel;c++)
{
final1.at<uchar>(k,l*channel+c) = final.at<uchar>(i,j*channel+c);
}
}
const Point* pts6[1] = {&pts2[0]};
fillPoly(res, pts6, &numpts, 1, Scalar(255, 255, 255), 8, 0);
if(num == 1 || num == 2 || num == 3)
{
seamlessClone(img0,img2,res1,point,blend,num);
imshow("Cloned Image", blend);
imwrite("cloned.png",blend);
waitKey(0);
}
for(int i = 0; i < flag ; i++)
{
pts2[i].x=0;
pts2[i].y=0;
}
minxd = INT_MAX; minyd = INT_MAX; maxxd = INT_MIN; maxyd = INT_MIN;
}
im1.release();
}
int main()
{
cout << endl;
cout << "Cloning Module" << endl;
cout << "---------------" << endl;
cout << "Step 1:" << endl;
cout << " -> In the source image, select the region of interest by left click mouse button. A Polygon ROI will be created by left clicking mouse button." << endl;
cout << " -> To set the Polygon ROI, click the right mouse button or use 'd' key" << endl;
cout << " -> To reset the region selected, click the middle mouse button or use 'r' key." << endl;
cout << "Step 2:" << endl;
cout << " -> In the destination image, select the point where you want to place the ROI in the image by left clicking mouse button." << endl;
cout << " -> To get the cloned result, click the right mouse button or use 'c' key." << endl;
cout << " -> To quit the program, use 'q' key." << endl;
cout << endl;
cout << "Options: " << endl;
cout << endl;
cout << "1) Normal Cloning " << endl;
cout << "2) Mixed Cloning " << endl;
cout << "3) Monochrome Transfer " << endl;
cout << "4) Local Color Change " << endl;
cout << "5) Local Illumination Change " << endl;
cout << "6) Texture Flattening " << endl;
cout << endl;
cout << "Press number 1-6 to choose from above techniques: ";
cin >> num;
cout << endl;
minx = INT_MAX; miny = INT_MAX; maxx = INT_MIN; maxy = INT_MIN;
minxd = INT_MAX; minyd = INT_MAX; maxxd = INT_MIN; maxyd = INT_MIN;
int flag3 = 0;
if(num == 1 || num == 2 || num == 3)
{
string src,dest;
cout << "Enter Source Image: ";
cin >> src;
cout << "Enter Destination Image: ";
cin >> dest;
img0 = imread(src);
img2 = imread(dest);
if(!img0.data)
{
cout << "Source Image does not exist" << endl;
exit(0);
}
if(!img2.data)
{
cout << "Destination Image does not exist" << endl;
exit(0);
}
channel = img0.channels();
res = Mat::zeros(img2.size(),CV_8UC1);
res1 = Mat::zeros(img0.size(),CV_8UC1);
final = Mat::zeros(img0.size(),CV_8UC3);
final1 = Mat::zeros(img2.size(),CV_8UC3);
//////////// source image ///////////////////
namedWindow("Source", 1);
setMouseCallback("Source", source, NULL);
imshow("Source", img0);
/////////// destination image ///////////////
namedWindow("Destination", 1);
setMouseCallback("Destination", destination, NULL);
imshow("Destination",img2);
}
else if(num == 4)
{
string src;
cout << "Enter Source Image: ";
cin >> src;
cout << "Enter RGB values: " << endl;
cout << "Red: ";
cin >> red;
cout << "Green: ";
cin >> green;
cout << "Blue: ";
cin >> blue;
img0 = imread(src);
if(!img0.data)
{
cout << "Source Image does not exist" << endl;
exit(0);
}
res1 = Mat::zeros(img0.size(),CV_8UC1);
final = Mat::zeros(img0.size(),CV_8UC3);
//////////// source image ///////////////////
namedWindow("Source", 1);
setMouseCallback("Source", source, NULL);
imshow("Source", img0);
}
else if(num == 5)
{
string src;
cout << "Enter Source Image: ";
cin >> src;
cout << "alpha: ";
cin >> alpha;
cout << "beta: ";
cin >> beta;
img0 = imread(src);
if(!img0.data)
{
cout << "Source Image does not exist" << endl;
exit(0);
}
res1 = Mat::zeros(img0.size(),CV_8UC1);
final = Mat::zeros(img0.size(),CV_8UC3);
//////////// source image ///////////////////
namedWindow("Source", 1);
setMouseCallback("Source", source, NULL);
imshow("Source", img0);
}
else if(num == 6)
{
string src;
cout << "Enter Source Image: ";
cin >> src;
cout << "low_threshold: ";
cin >> low_t;
cout << "high_threshold: ";
cin >> high_t;
cout << "kernel_size: ";
cin >> kernel_size;
img0 = imread(src);
if(!img0.data)
{
cout << "Source Image does not exist" << endl;
exit(0);
}
res1 = Mat::zeros(img0.size(),CV_8UC1);
final = Mat::zeros(img0.size(),CV_8UC3);
//////////// source image ///////////////////
namedWindow("Source", 1);
setMouseCallback("Source", source, NULL);
imshow("Source", img0);
}
else
{
cout << "Wrong Option Choosen" << endl;
exit(0);
}
for(;;)
{
char key = (char) waitKey(0);
if(key == 'd' && flag3 == 0)
{
flag1 = 1;
flag3 = 1;
img1 = img0.clone();
for(int i = var; i < numpts ; i++)
pts[i] = point;
if(var!=0)
{
const Point* pts3[1] = {&pts[0]};
polylines( img1, pts3, &numpts,1, 1, Scalar(0,0,0), 2, 8, 0);
}
for(int i=0;i<var;i++)
{
minx = min(minx,pts[i].x);
maxx = max(maxx,pts[i].x);
miny = min(miny,pts[i].y);
maxy = max(maxy,pts[i].y);
}
lenx = maxx - minx;
leny = maxy - miny;
int mid_pointx = minx + lenx/2;
int mid_pointy = miny + leny/2;
for(int i=0;i<var;i++)
{
pts_diff[i].x = pts[i].x - mid_pointx;
pts_diff[i].y = pts[i].y - mid_pointy;
}
flag = var;
final = Mat::zeros(img0.size(),CV_8UC3);
res1 = Mat::zeros(img0.size(),CV_8UC1);
const Point* pts4[1] = {&pts[0]};
fillPoly(res1, pts4,&numpts, 1, Scalar(255, 255, 255), 8, 0);
bitwise_and(img0, img0, final,res1);
imshow("Source", img1);
}
else if(key == 'r')
{
for(int i = 0; i < numpts ; i++)
{
pts[i].x=0;
pts[i].y=0;
}
var = 0;
flag1 = 0;
flag3 = 0;
flag4 = 0;
minx = INT_MAX; miny = INT_MAX; maxx = INT_MIN; maxy = INT_MIN;
imshow("Source", img0);
if(num == 1 || num == 2 || num == 3)
imshow("Destination",img2);
drag = 0;
}
else if ((num == 1 || num == 2 || num == 3) && key == 'c' && flag1 == 1 && flag4 == 1)
{
seamlessClone(img0,img2,res1,point,blend,num);
imshow("Cloned Image", blend);
imwrite("cloned.png",blend);
}
else if (num == 4 && key == 'c' && flag1 == 1)
{
colorChange(img0,res1,blend,red,green,blue);
imshow("Color Change Image", blend);
imwrite("cloned.png",blend);
}
else if (num == 5 && key == 'c' && flag1 == 1)
{
illuminationChange(img0,res1,blend,alpha,beta);
imshow("Illum Change Image", blend);
imwrite("cloned.png",blend);
}
else if (num == 6 && key == 'c' && flag1 == 1)
{
textureFlattening(img0,res1,blend,low_t,high_t,kernel_size);
imshow("Texture Flattened", blend);
imwrite("cloned.png",blend);
}
else if(key == 'q')
exit(0);
}
waitKey(0);
}

2
samples/cpp/tutorial_code/video/bg_sub.cpp
View File

@@ -5,6 +5,8 @@
*/
//opencv
#include "opencv2/imgcodecs.hpp"
#include "opencv2/videoio.hpp"
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/video/background_segm.hpp>
//C