Skip to content

O
Opencv

Greenplum / Opencv
11 个月 前同步成功

通知 7
Star 0
Fork 0
O
Opencv

体验新版 GitCode，发现更多精彩内容 >>

提交 b131dfee 编写于 作者: A Andrey Kamaev
浏览文件
操作

Build tutorial codes together with other samples 

These codes should be included into regular builds.
上级 64847325
隐藏空白更改
内联 并排
Showing with 420 addition and 354 deletion
modules/highgui/src/window.cpp
浏览文件 @ b131dfee
......@@ -571,6 +571,56 @@ int cv::createButton(const string& button_name, ButtonCallback on_change, void*
return cvCreateButton(button_name.c_str(), on_change, userdata, button_type , initial_button_state );
}
#else
CvFont cv::fontQt(const string&, int, Scalar, int, int, int)
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
return CvFont();
}
void cv::addText( const Mat&, const string&, Point, CvFont)
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
}
void cv::displayStatusBar(const string&, const string&, int)
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
}
void cv::displayOverlay(const string&, const string&, int )
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
}
int cv::startLoop(int (*)(int argc, char *argv[]), int , char**)
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
return 0;
}
void cv::stopLoop()
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
}
void cv::saveWindowParameters(const string&)
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
}
void cv::loadWindowParameters(const string&)
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
}
int cv::createButton(const string&, ButtonCallback, void*, int , bool )
{
CV_Error(CV_StsNotImplemented, "The library is compiled without QT support");
return 0;
}
#endif
#if defined WIN32 || defined _WIN32 // see window_w32.cpp
......
samples/cpp/CMakeLists.txt
浏览文件 @ b131dfee
......@@ -53,7 +53,15 @@ if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND)
endif()
ENDMACRO()
file(GLOB cpp_samples RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.cpp)
file(GLOB_RECURSE cpp_samples RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.cpp)
if(NOT HAVE_OPENGL)
ocv_list_filterout(cpp_samples Qt_sample)
endif()
if(NOT HAVE_opencv_gpu)
ocv_list_filterout(cpp_samples "/gpu/")
endif()
foreach(sample_filename ${cpp_samples})
get_filename_component(sample ${sample_filename} NAME_WE)
......
samples/cpp/Qt_sample/main.cpp
浏览文件 @ b131dfee
......@@ -4,14 +4,29 @@
#include <iostream>
#include <vector>
#include <opencv/highgui.h>
#include <GL/gl.h>
#if defined WIN32 || defined _WIN32 || defined WINCE
#include <windows.h>
#undef small
#undef min
#undef max
#undef abs
#endif
#ifdef __APPLE__
#include <OpenGL/gl.h>
#else
#include <GL/gl.h>
#endif
#include <opencv/cxcore.h>
#include <opencv/cv.h>
using namespace std;
using namespace cv;
void help()
static void help()
{
cout << "\nThis demo demonstrates the use of the Qt enhanced version of the highgui GUI interface\n"
" and dang if it doesn't throw in the use of of the POSIT 3D tracking algorithm too\n"
......@@ -29,7 +44,7 @@ void help()
#define FOCAL_LENGTH 600
#define CUBE_SIZE 10
void renderCube(float size)
static void renderCube(float size)
{
glBegin(GL_QUADS);
// Front Face
......@@ -72,7 +87,7 @@ void renderCube(float size)
}
void on_opengl(void* param)
static void on_opengl(void* param)
{
//Draw the object with the estimated pose
glLoadIdentity();
......@@ -87,7 +102,7 @@ void on_opengl(void* param)
glDisable( GL_LIGHTING );
}
void initPOSIT(std::vector<CvPoint3D32f> *modelPoints)
static void initPOSIT(std::vector<CvPoint3D32f> *modelPoints)
{
//Create the model pointss
modelPoints->push_back(cvPoint3D32f(0.0f, 0.0f, 0.0f)); //The first must be (0,0,0)
......@@ -96,7 +111,7 @@ void initPOSIT(std::vector<CvPoint3D32f> *modelPoints)
modelPoints->push_back(cvPoint3D32f(0.0f, CUBE_SIZE, 0.0f));
}
void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImage* grayImage)
static void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImage* grayImage)
{
cvCvtColor(source,grayImage,CV_RGB2GRAY);
cvSmooth( grayImage, grayImage,CV_GAUSSIAN,11);
......@@ -116,12 +131,12 @@ void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImag
if (contours.size() == srcImagePoints_temp.size())
{
for(int i = 0 ; i<contours.size(); i++ )
for(size_t i = 0 ; i<contours.size(); i++ )
{
p.x = p.y = 0;
for(int j = 0 ; j<contours[i].size(); j++ )
for(size_t j = 0 ; j<contours[i].size(); j++ )
p+=contours[i][j];
srcImagePoints_temp.at(i)=cvPoint2D32f(float(p.x)/contours[i].size(),float(p.y)/contours[i].size());
......@@ -134,8 +149,8 @@ void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImag
//< y = 3
//get point 0;
int index = 0;
for(int i = 1 ; i<srcImagePoints_temp.size(); i++ )
size_t index = 0;
for(size_t i = 1 ; i<srcImagePoints_temp.size(); i++ )
{
if (srcImagePoints_temp.at(i).y > srcImagePoints_temp.at(index).y)
index = i;
......@@ -144,7 +159,7 @@ void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImag
//get point 1;
index = 0;
for(int i = 1 ; i<srcImagePoints_temp.size(); i++ )
for(size_t i = 1 ; i<srcImagePoints_temp.size(); i++ )
{
if (srcImagePoints_temp.at(i).x > srcImagePoints_temp.at(index).x)
index = i;
......@@ -153,7 +168,7 @@ void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImag
//get point 2;
index = 0;
for(int i = 1 ; i<srcImagePoints_temp.size(); i++ )
for(size_t i = 1 ; i<srcImagePoints_temp.size(); i++ )
{
if (srcImagePoints_temp.at(i).x < srcImagePoints_temp.at(index).x)
index = i;
......@@ -162,7 +177,7 @@ void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImag
//get point 3;
index = 0;
for(int i = 1 ; i<srcImagePoints_temp.size(); i++ )
for(size_t i = 1 ; i<srcImagePoints_temp.size(); i++ )
{
if (srcImagePoints_temp.at(i).y < srcImagePoints_temp.at(index).y)
index = i;
......@@ -171,7 +186,7 @@ void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImag
Mat Msource = source;
stringstream ss;
for(int i = 0 ; i<srcImagePoints_temp.size(); i++ )
for(size_t i = 0 ; i<srcImagePoints_temp.size(); i++ )
{
ss<<i;
circle(Msource,srcImagePoints->at(i),5,CV_RGB(255,0,0));
......@@ -185,7 +200,7 @@ void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImag
}
void createOpenGLMatrixFrom(float *posePOSIT,const CvMatr32f &rotationMatrix, const CvVect32f &translationVector)
static void createOpenGLMatrixFrom(float *posePOSIT,const CvMatr32f &rotationMatrix, const CvVect32f &translationVector)
{
......@@ -206,8 +221,9 @@ void createOpenGLMatrixFrom(float *posePOSIT,const CvMatr32f &rotationMatrix, co
posePOSIT[15] = 1.0;
}
int main(int argc, char *argv[])
int main(void)
{
help();
CvCapture* video = cvCaptureFromFile("cube4.avi");
CV_Assert(video);
......@@ -220,7 +236,7 @@ int main(int argc, char *argv[])
//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};
cvCreateOpenGLCallback("POSIT",on_opengl,OpenGLMatrix);
cvSetOpenGlDrawCallback("POSIT",on_opengl,OpenGLMatrix);
vector<CvPoint3D32f> modelPoints;
initPOSIT(&modelPoints);
......
samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp
浏览文件 @ b131dfee
......@@ -4,8 +4,8 @@
* @author OpenCV team
*/
#include <cv.h>
#include <highgui.h>
#include "opencv2/highgui/highgui.hpp"
#include <stdio.h>
using namespace cv;
......@@ -24,7 +24,7 @@ Mat dst;
* @function on_trackbar
* @brief Callback for trackbar
*/
void on_trackbar( int, void* )
static void on_trackbar( int, void* )
{
alpha = (double) alpha_slider/alpha_slider_max ;
......@@ -40,7 +40,7 @@ void on_trackbar( int, void* )
* @function main
* @brief Main function
*/
int main( int argc, char** argv )
int main( void )
{
/// Read image ( same size, same type )
src1 = imread("../images/LinuxLogo.jpg");
......
samples/cpp/tutorial_code/HighGUI/BasicLinearTransformsTrackbar.cpp
浏览文件 @ b131dfee
......@@ -5,8 +5,7 @@
* @author OpenCV team
*/
#include <cv.h>
#include <highgui.h>
#include "opencv2/highgui/highgui.hpp"
using namespace cv;
......@@ -18,13 +17,12 @@ int beta; /**< Simple brightness control*/
/** Matrices to store images */
Mat image;
Mat new_image;
/**
* @function on_trackbar
* @brief Called whenever any of alpha or beta changes
*/
void on_trackbar( int, void* )
static void on_trackbar( int, void* )
{
Mat new_image = Mat::zeros( image.size(), image.type() );
......@@ -44,7 +42,7 @@ void on_trackbar( int, void* )
* @function main
* @brief Main function
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Read image given by user
image = imread( argv[1] );
......
samples/cpp/tutorial_code/HighGUI/video-input-psnr-ssim/video-input-psnr-ssim.cpp
浏览文件 @ b131dfee
#include <iostream> // for standard I/O
#include <iostream> // for standard I/O
#include <string> // for strings
#include <iomanip> // for controlling float print precision
#include <sstream> // string to number conversion
#include <opencv2/imgproc/imgproc.hpp> // Gaussian Blur
#include <opencv2/core/core.hpp> // Basic OpenCV structures (cv::Mat, Scalar)
#include <opencv2/imgproc/imgproc.hpp> // Gaussian Blur
#include <opencv2/highgui/highgui.hpp> // OpenCV window I/O
using namespace std;
......@@ -13,55 +13,57 @@ using namespace cv;
double getPSNR ( const Mat& I1, const Mat& I2);
Scalar getMSSIM( const Mat& I1, const Mat& I2);
void help()
static void help()
{
cout
<< "\n--------------------------------------------------------------------------" << endl
<< "This program shows how to read a video file with OpenCV. In addition, it tests the"
<< " similarity of two input videos first with PSNR, and for the frames below a PSNR " << endl
<< "trigger value, also with MSSIM."<< endl
<< "Usage:" << endl
<< "------------------------------------------------------------------------------" << endl
<< "This program shows how to read a video file with OpenCV. In addition, it "
<< "tests the similarity of two input videos first with PSNR, and for the frames "
<< "below a PSNR trigger value, also with MSSIM." << endl
<< "Usage:" << endl
<< "./video-source referenceVideo useCaseTestVideo PSNR_Trigger_Value Wait_Between_Frames " << endl
<< "--------------------------------------------------------------------------" << endl
<< "--------------------------------------------------------------------------" << endl
<< endl;
}
int main(int argc, char *argv[], char *window_name)
int main(int argc, char *argv[])
{
help();
if (argc != 5)
{
cout << "Not enough parameters" << endl;
return -1;
}
stringstream conv;
const string sourceReference = argv[1],sourceCompareWith = argv[2];
const string sourceReference = argv[1], sourceCompareWith = argv[2];
int psnrTriggerValue, delay;
conv << argv[3] << endl << argv[4]; // put in the strings
conv >> psnrTriggerValue >> delay;// take out the numbers
conv << argv[3] << endl << argv[4]; // put in the strings
conv >> psnrTriggerValue >> delay; // take out the numbers
char c;
int frameNum = -1; // Frame counter
int frameNum = -1; // Frame counter
VideoCapture captRefrnc(sourceReference),
captUndTst(sourceCompareWith);
VideoCapture captRefrnc(sourceReference), captUndTst(sourceCompareWith);
if ( !captRefrnc.isOpened())
if (!captRefrnc.isOpened())
{
cout << "Could not open reference " << sourceReference << endl;
return -1;
}
if( !captUndTst.isOpened())
if (!captUndTst.isOpened())
{
cout << "Could not open case test " << sourceCompareWith << endl;
return -1;
}
Size refS = Size((int) captRefrnc.get(CV_CAP_PROP_FRAME_WIDTH),
(int) captRefrnc.get(CV_CAP_PROP_FRAME_HEIGHT)),
uTSi = Size((int) captUndTst.get(CV_CAP_PROP_FRAME_WIDTH),
(int) captUndTst.get(CV_CAP_PROP_FRAME_HEIGHT));
(int) captRefrnc.get(CV_CAP_PROP_FRAME_HEIGHT)),
uTSi = Size((int) captUndTst.get(CV_CAP_PROP_FRAME_WIDTH),
(int) captUndTst.get(CV_CAP_PROP_FRAME_HEIGHT));
if (refS != uTSi)
{
......@@ -73,43 +75,43 @@ int main(int argc, char *argv[], char *window_name)
const char* WIN_RF = "Reference";
// Windows
namedWindow(WIN_RF, CV_WINDOW_AUTOSIZE );
namedWindow(WIN_UT, CV_WINDOW_AUTOSIZE );
cvMoveWindow(WIN_RF, 400 , 0); //750, 2 (bernat =0)
cvMoveWindow(WIN_UT, refS.width, 0); //1500, 2
namedWindow(WIN_RF, CV_WINDOW_AUTOSIZE);
namedWindow(WIN_UT, CV_WINDOW_AUTOSIZE);
cvMoveWindow(WIN_RF, 400 , 0); //750, 2 (bernat =0)
cvMoveWindow(WIN_UT, refS.width, 0); //1500, 2
cout << "Reference frame resolution: Width=" << refS.width << " Height=" << refS.height
<< " of nr#: " << captRefrnc.get(CV_CAP_PROP_FRAME_COUNT) << endl;
<< " of nr#: " << captRefrnc.get(CV_CAP_PROP_FRAME_COUNT) << endl;
cout << "PSNR trigger value " <<
setiosflags(ios::fixed) << setprecision(3) << psnrTriggerValue << endl;
cout << "PSNR trigger value " << setiosflags(ios::fixed) << setprecision(3)
<< psnrTriggerValue << endl;
Mat frameReference, frameUnderTest;
double psnrV;
Scalar mssimV;
while( true) //Show the image captured in the window and repeat
for(;;) //Show the image captured in the window and repeat
{
captRefrnc >> frameReference;
captUndTst >> frameUnderTest;
if( frameReference.empty() || frameUnderTest.empty())
if (frameReference.empty() || frameUnderTest.empty())
{
cout << " < < < Game over! > > > ";
break;
}
++frameNum;
cout <<"Frame:" << frameNum <<"# ";
cout << "Frame: " << frameNum << "# ";
///////////////////////////////// PSNR ////////////////////////////////////////////////////
psnrV = getPSNR(frameReference,frameUnderTest); //get PSNR
psnrV = getPSNR(frameReference,frameUnderTest);
cout << setiosflags(ios::fixed) << setprecision(3) << psnrV << "dB";
//////////////////////////////////// MSSIM /////////////////////////////////////////////////
if (psnrV < psnrTriggerValue && psnrV)
{
mssimV = getMSSIM(frameReference,frameUnderTest);
mssimV = getMSSIM(frameReference, frameUnderTest);
cout << " MSSIM: "
<< " R " << setiosflags(ios::fixed) << setprecision(2) << mssimV.val[2] * 100 << "%"
......@@ -120,10 +122,10 @@ int main(int argc, char *argv[], char *window_name)
cout << endl;
////////////////////////////////// Show Image /////////////////////////////////////////////
imshow( WIN_RF, frameReference);
imshow( WIN_UT, frameUnderTest);
imshow(WIN_RF, frameReference);
imshow(WIN_UT, frameUnderTest);
c = cvWaitKey(delay);
c = (char)cvWaitKey(delay);
if (c == 27) break;
}
......@@ -137,7 +139,7 @@ double getPSNR(const Mat& I1, const Mat& I2)
s1.convertTo(s1, CV_32F); // cannot make a square on 8 bits
s1 = s1.mul(s1); // |I1 - I2|^2
Scalar s = sum(s1); // sum elements per channel
Scalar s = sum(s1); // sum elements per channel
double sse = s.val[0] + s.val[1] + s.val[2]; // sum channels
......@@ -145,8 +147,8 @@ double getPSNR(const Mat& I1, const Mat& I2)
return 0;
else
{
double mse =sse /(double)(I1.channels() * I1.total());
double psnr = 10.0*log10((255*255)/mse);
double mse = sse / (double)(I1.channels() * I1.total());
double psnr = 10.0 * log10((255 * 255) / mse);
return psnr;
}
}
......@@ -155,10 +157,10 @@ Scalar getMSSIM( const Mat& i1, const Mat& i2)
{
const double C1 = 6.5025, C2 = 58.5225;
/***************************** INITS **********************************/
int d = CV_32F;
int d = CV_32F;
Mat I1, I2;
i1.convertTo(I1, d); // cannot calculate on one byte large values
i1.convertTo(I1, d); // cannot calculate on one byte large values
i2.convertTo(I2, d);
Mat I2_2 = I2.mul(I2); // I2^2
......@@ -167,7 +169,7 @@ Scalar getMSSIM( const Mat& i1, const Mat& i2)
/*************************** END INITS **********************************/
Mat mu1, mu2; // PRELIMINARY COMPUTING
Mat mu1, mu2; // PRELIMINARY COMPUTING
GaussianBlur(I1, mu1, Size(11, 11), 1.5);
GaussianBlur(I2, mu2, Size(11, 11), 1.5);
......@@ -191,15 +193,15 @@ Scalar getMSSIM( const Mat& i1, const Mat& i2)
t1 = 2 * mu1_mu2 + C1;
t2 = 2 * sigma12 + C2;
t3 = t1.mul(t2); // t3 = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))
t3 = t1.mul(t2); // t3 = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))
t1 = mu1_2 + mu2_2 + C1;
t2 = sigma1_2 + sigma2_2 + C2;
t1 = t1.mul(t2); // t1 =((mu1_2 + mu2_2 + C1).*(sigma1_2 + sigma2_2 + C2))
t1 = t1.mul(t2); // t1 =((mu1_2 + mu2_2 + C1).*(sigma1_2 + sigma2_2 + C2))
Mat ssim_map;
divide(t3, t1, ssim_map); // ssim_map = t3./t1;
divide(t3, t1, ssim_map); // ssim_map = t3./t1;
Scalar mssim = mean( ssim_map ); // mssim = average of ssim map
Scalar mssim = mean(ssim_map); // mssim = average of ssim map
return mssim;
}
\ No newline at end of file
}
samples/cpp/tutorial_code/HighGUI/video-write/video-write.cpp
浏览文件 @ b131dfee
......@@ -7,51 +7,53 @@
using namespace std;
using namespace cv;
void help()
static void help()
{
cout
<< "\n--------------------------------------------------------------------------" << endl
<< "This program shows how to write video files. You can extract the R or G or B color channel "
<< " of the input video.write " << endl
<< "Usage:" << endl
<< "./video-write inputvideoName [ R | G | B] [Y | N]" << endl
<< "--------------------------------------------------------------------------" << endl
<< "------------------------------------------------------------------------------" << endl
<< "This program shows how to write video files." << endl
<< "You can extract the R or G or B color channel of the input video." << endl
<< "Usage:" << endl
<< "./video-write inputvideoName [ R | G | B] [Y | N]" << endl
<< "------------------------------------------------------------------------------" << endl
<< endl;
}
int main(int argc, char *argv[], char *window_name)
int main(int argc, char *argv[])
{
help();
if (argc != 4)
{
cout << "Not enough parameters" << endl;
return -1;
}
const string source = argv[1]; // the source file name
const string source = argv[1]; // the source file name
const bool askOutputType = argv[3][0] =='Y'; // If false it will use the inputs codec type
VideoCapture inputVideo(source); // Open input
if ( !inputVideo.isOpened())
VideoCapture inputVideo(source); // Open input
if (!inputVideo.isOpened())
{
cout << "Could not open the input video." << source << endl;
cout << "Could not open the input video: " << source << endl;
return -1;
}
string::size_type pAt = source.find_last_of('.'); // Find extension point
string::size_type pAt = source.find_last_of('.'); // Find extension point
const string NAME = source.substr(0, pAt) + argv[2][0] + ".avi"; // Form the new name with container
int ex = static_cast<int>(inputVideo.get(CV_CAP_PROP_FOURCC)); // Get Codec Type- Int form
// Transform from int to char via Bitwise operators
char EXT[] = {ex & 0XFF , (ex & 0XFF00) >> 8,(ex & 0XFF0000) >> 16,(ex & 0XFF000000) >> 24, 0};
char EXT[] = {(char)(ex & 0XFF) , (char)((ex & 0XFF00) >> 8),(char)((ex & 0XFF0000) >> 16),(char)((ex & 0XFF000000) >> 24), 0};
Size S = Size((int) inputVideo.get(CV_CAP_PROP_FRAME_WIDTH), //Acquire input size
Size S = Size((int) inputVideo.get(CV_CAP_PROP_FRAME_WIDTH), // Acquire input size
(int) inputVideo.get(CV_CAP_PROP_FRAME_HEIGHT));
VideoWriter outputVideo; // Open the output
if (askOutputType)
outputVideo.open(NAME , ex=-1, inputVideo.get(CV_CAP_PROP_FPS),S, true);
outputVideo.open(NAME, ex=-1, inputVideo.get(CV_CAP_PROP_FPS), S, true);
else
outputVideo.open(NAME , ex, inputVideo.get(CV_CAP_PROP_FPS),S, true);
outputVideo.open(NAME, ex, inputVideo.get(CV_CAP_PROP_FPS), S, true);
if (!outputVideo.isOpened())
{
......@@ -59,33 +61,29 @@ int main(int argc, char *argv[], char *window_name)
return -1;
}
union { int v; char c[5];} uEx ;
uEx.v = ex; // From Int to char via union
uEx.c[4]='\0';
cout << "Input frame resolution: Width=" << S.width << " Height=" << S.height
<< " of nr#: " << inputVideo.get(CV_CAP_PROP_FRAME_COUNT) << endl;
<< " of nr#: " << inputVideo.get(CV_CAP_PROP_FRAME_COUNT) << endl;
cout << "Input codec type: " << EXT << endl;
int channel = 2; // Select the channel to save
int channel = 2; // Select the channel to save
switch(argv[2][0])
{
case 'R' : {channel = 2; break;}
case 'G' : {channel = 1; break;}
case 'B' : {channel = 0; break;}
case 'R' : channel = 2; break;
case 'G' : channel = 1; break;
case 'B' : channel = 0; break;
}
Mat src,res;
Mat src, res;
vector<Mat> spl;
while( true) //Show the image captured in the window and repeat
for(;;) //Show the image captured in the window and repeat
{
inputVideo >> src; // read
if( src.empty()) break; // check if at end
if (src.empty()) break; // check if at end
split(src, spl); // process - extract only the correct channel
for( int i =0; i < 3; ++i)
if (i != channel)
spl[i] = Mat::zeros(S, spl[0].type());
split(src, spl); // process - extract only the correct channel
for (int i =0; i < 3; ++i)
if (i != channel)
spl[i] = Mat::zeros(S, spl[0].type());
merge(spl, res);
//outputVideo.write(res); //save or
......@@ -94,4 +92,4 @@ int main(int argc, char *argv[], char *window_name)
cout << "Finished writing" << endl;
return 0;
}
\ No newline at end of file
}
samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp
浏览文件 @ b131dfee
......@@ -15,12 +15,12 @@ using namespace std;
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
Mat src, dst;
char* source_window = "Source image";
char* equalized_window = "Equalized Image";
const char* source_window = "Source image";
const char* equalized_window = "Equalized Image";
/// Load image
src = imread( argv[1], 1 );
......
samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp
浏览文件 @ b131dfee
......@@ -14,8 +14,8 @@ using namespace cv;
/// Global Variables
Mat img; Mat templ; Mat result;
char* image_window = "Source Image";
char* result_window = "Result window";
const char* image_window = "Source Image";
const char* result_window = "Result window";
int match_method;
int max_Trackbar = 5;
......@@ -26,7 +26,7 @@ void MatchingMethod( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load image and template
img = imread( argv[1], 1 );
......@@ -37,7 +37,7 @@ int main( int argc, char** argv )
namedWindow( result_window, CV_WINDOW_AUTOSIZE );
/// Create Trackbar
char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";
const char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";
createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod );
MatchingMethod( 0, 0 );
......
samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp
浏览文件 @ b131dfee
......@@ -23,7 +23,7 @@ void Hist_and_Backproj(int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Read the image
src = imread( argv[1], 1 );
......@@ -36,7 +36,7 @@ int main( int argc, char** argv )
mixChannels( &hsv, 1, &hue, 1, ch, 1 );
/// Create Trackbar to enter the number of bins
char* window_image = "Source image";
const char* window_image = "Source image";
namedWindow( window_image, CV_WINDOW_AUTOSIZE );
createTrackbar("* Hue bins: ", window_image, &bins, 180, Hist_and_Backproj );
Hist_and_Backproj(0, 0);
......
samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp
浏览文件 @ b131dfee
......@@ -17,7 +17,7 @@ Mat src; Mat hsv;
Mat mask;
int lo = 20; int up = 20;
char* window_image = "Source image";
const char* window_image = "Source image";
/// Function Headers
void Hist_and_Backproj( );
......@@ -26,7 +26,7 @@ void pickPoint (int event, int x, int y, int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Read the image
src = imread( argv[1], 1 );
......
samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
浏览文件 @ b131dfee
......@@ -15,7 +15,7 @@ using namespace cv;
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
Mat src, dst;
......
samples/cpp/tutorial_code/ImgProc/AddingImages.cpp
浏览文件 @ b131dfee
......@@ -4,8 +4,7 @@
* @author OpenCV team
*/
#include <cv.h>
#include <highgui.h>
#include "opencv2/highgui/highgui.hpp"
#include <iostream>
using namespace cv;
......@@ -14,7 +13,7 @@ using namespace cv;
* @function main
* @brief Main function
*/
int main( int argc, char** argv )
int main( void )
{
double alpha = 0.5; double beta; double input;
......@@ -35,8 +34,8 @@ int main( int argc, char** argv )
src1 = imread("../images/LinuxLogo.jpg");
src2 = imread("../images/WindowsLogo.jpg");
if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
if( !src1.data ) { std::cout<< "Error loading src1"<<std::endl; return -1; }
if( !src2.data ) { std::cout<< "Error loading src2"<<std::endl; return -1; }
/// Create Windows
namedWindow("Linear Blend", 1);
......
samples/cpp/tutorial_code/ImgProc/BasicLinearTransforms.cpp
浏览文件 @ b131dfee
......@@ -4,8 +4,7 @@
* @author OpenCV team
*/
#include <cv.h>
#include <highgui.h>
#include "opencv2/highgui/highgui.hpp"
#include <iostream>
using namespace cv;
......@@ -17,7 +16,7 @@ int beta; /**< Simple brightness control */
* @function main
* @brief Main function
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Read image given by user
Mat image = imread( argv[1] );
......
samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp
浏览文件 @ b131dfee
......@@ -6,7 +6,6 @@
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "highgui.h"
#include <stdlib.h>
#include <stdio.h>
......@@ -29,7 +28,7 @@ void Dilation( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load an image
src = imread( argv[1] );
......@@ -73,7 +72,7 @@ int main( int argc, char** argv )
*/
void Erosion( int, void* )
{
int erosion_type;
int erosion_type = 0;
if( erosion_elem == 0 ){ erosion_type = MORPH_RECT; }
else if( erosion_elem == 1 ){ erosion_type = MORPH_CROSS; }
else if( erosion_elem == 2) { erosion_type = MORPH_ELLIPSE; }
......@@ -91,7 +90,7 @@ void Erosion( int, void* )
*/
void Dilation( int, void* )
{
int dilation_type;
int dilation_type = 0;
if( dilation_elem == 0 ){ dilation_type = MORPH_RECT; }
else if( dilation_elem == 1 ){ dilation_type = MORPH_CROSS; }
else if( dilation_elem == 2) { dilation_type = MORPH_ELLIPSE; }
......
samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp
浏览文件 @ b131dfee
......@@ -21,7 +21,7 @@ int const max_operator = 4;
int const max_elem = 2;
int const max_kernel_size = 21;
char* window_name = "Morphology Transformations Demo";
const char* window_name = "Morphology Transformations Demo";
/** Function Headers */
......@@ -30,7 +30,7 @@ void Morphology_Operations( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load an image
src = imread( argv[1] );
......
samples/cpp/tutorial_code/ImgProc/Pyramids.cpp
浏览文件 @ b131dfee
......@@ -15,13 +15,13 @@ using namespace cv;
/// Global variables
Mat src, dst, tmp;
char* window_name = "Pyramids Demo";
const char* window_name = "Pyramids Demo";
/**
* @function main
*/
int main( int argc, char** argv )
int main( void )
{
/// General instructions
printf( "\n Zoom In-Out demo \n " );
......@@ -44,7 +44,7 @@ int main( int argc, char** argv )
imshow( window_name, dst );
/// Loop
while( true )
for(;;)
{
int c;
c = waitKey(10);
......
samples/cpp/tutorial_code/ImgProc/Smoothing.cpp
浏览文件 @ b131dfee
......@@ -22,14 +22,14 @@ Mat src; Mat dst;
char window_name[] = "Smoothing Demo";
/// Function headers
int display_caption( char* caption );
int display_caption( const char* caption );
int display_dst( int delay );
/**
* function main
*/
int main( int argc, char** argv )
int main( void )
{
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
......@@ -84,7 +84,7 @@ int main( int argc, char** argv )
/**
* @function display_caption
*/
int display_caption( char* caption )
int display_caption( const char* caption )
{
dst = Mat::zeros( src.size(), src.type() );
putText( dst, caption,
......
samples/cpp/tutorial_code/ImgProc/Threshold.cpp
浏览文件 @ b131dfee
......@@ -20,10 +20,10 @@ int const max_type = 4;
int const max_BINARY_value = 255;
Mat src, src_gray, dst;
char* window_name = "Threshold Demo";
const char* window_name = "Threshold Demo";
char* trackbar_type = "Type: \n 0: Binary \n 1: Binary Inverted \n 2: Truncate \n 3: To Zero \n 4: To Zero Inverted";
char* trackbar_value = "Value";
const char* trackbar_type = "Type: \n 0: Binary \n 1: Binary Inverted \n 2: Truncate \n 3: To Zero \n 4: To Zero Inverted";
const char* trackbar_value = "Value";
/// Function headers
void Threshold_Demo( int, void* );
......@@ -31,7 +31,7 @@ void Threshold_Demo( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load an image
src = imread( argv[1], 1 );
......@@ -55,7 +55,7 @@ int main( int argc, char** argv )
Threshold_Demo( 0, 0 );
/// Wait until user finishes program
while(true)
for(;;)
{
int c;
c = waitKey( 20 );
......
samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp
浏览文件 @ b131dfee
......@@ -21,13 +21,13 @@ int lowThreshold;
int const max_lowThreshold = 100;
int ratio = 3;
int kernel_size = 3;
char* window_name = "Edge Map";
const char* window_name = "Edge Map";
/**
* @function CannyThreshold
* @brief Trackbar callback - Canny thresholds input with a ratio 1:3
*/
void CannyThreshold(int, void*)
static void CannyThreshold(int, void*)
{
/// Reduce noise with a kernel 3x3
blur( src_gray, detected_edges, Size(3,3) );
......@@ -46,7 +46,7 @@ void CannyThreshold(int, void*)
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load an image
src = imread( argv[1] );
......
samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp
浏览文件 @ b131dfee
......@@ -13,14 +13,14 @@ using namespace cv;
using namespace std;
/// Global variables
char* source_window = "Source image";
char* warp_window = "Warp";
char* warp_rotate_window = "Warp + Rotate";
const char* source_window = "Source image";
const char* warp_window = "Warp";
const char* warp_rotate_window = "Warp + Rotate";
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
Point2f srcTri[3];
Point2f dstTri[3];
......@@ -37,12 +37,12 @@ int main( int argc, char** argv )
/// Set your 3 points to calculate the Affine Transform
srcTri[0] = Point2f( 0,0 );
srcTri[1] = Point2f( src.cols - 1, 0 );
srcTri[2] = Point2f( 0, src.rows - 1 );
srcTri[1] = Point2f( src.cols - 1.f, 0 );
srcTri[2] = Point2f( 0, src.rows - 1.f );
dstTri[0] = Point2f( src.cols*0.0, src.rows*0.33 );
dstTri[1] = Point2f( src.cols*0.85, src.rows*0.25 );
dstTri[2] = Point2f( src.cols*0.15, src.rows*0.7 );
dstTri[0] = Point2f( src.cols*0.0f, src.rows*0.33f );
dstTri[1] = Point2f( src.cols*0.85f, src.rows*0.25f );
dstTri[2] = Point2f( src.cols*0.15f, src.rows*0.7f );
/// Get the Affine Transform
warp_mat = getAffineTransform( srcTri, dstTri );
......
samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp
浏览文件 @ b131dfee
......@@ -14,7 +14,7 @@ using namespace cv;
/**
* @function main
*/
int main(int argc, char** argv)
int main(int, char** argv)
{
Mat src, src_gray;
......
samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp
浏览文件 @ b131dfee
......@@ -21,8 +21,8 @@ Mat standard_hough, probabilistic_hough;
int min_threshold = 50;
int max_trackbar = 150;
char* standard_name = "Standard Hough Lines Demo";
char* probabilistic_name = "Probabilistic Hough Lines Demo";
const char* standard_name = "Standard Hough Lines Demo";
const char* probabilistic_name = "Probabilistic Hough Lines Demo";
int s_trackbar = max_trackbar;
int p_trackbar = max_trackbar;
......@@ -35,7 +35,7 @@ void Probabilistic_Hough( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Read the image
src = imread( argv[1], 1 );
......@@ -91,7 +91,7 @@ void Standard_Hough( int, void* )
HoughLines( edges, s_lines, 1, CV_PI/180, min_threshold + s_trackbar, 0, 0 );
/// Show the result
for( int i = 0; i < s_lines.size(); i++ )
for( size_t i = 0; i < s_lines.size(); i++ )
{
float r = s_lines[i][0], t = s_lines[i][1];
double cos_t = cos(t), sin_t = sin(t);
......
samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp
浏览文件 @ b131dfee
......@@ -14,7 +14,7 @@ using namespace cv;
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
Mat src, src_gray, dst;
......@@ -22,9 +22,7 @@ int main( int argc, char** argv )
int scale = 1;
int delta = 0;
int ddepth = CV_16S;
char* window_name = "Laplace Demo";
int c;
const char* window_name = "Laplace Demo";
/// Load an image
src = imread( argv[1] );
......
samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp
浏览文件 @ b131dfee
......@@ -14,7 +14,7 @@ using namespace cv;
/// Global variables
Mat src, dst;
Mat map_x, map_y;
char* remap_window = "Remap demo";
const char* remap_window = "Remap demo";
int ind = 0;
/// Function Headers
......@@ -23,7 +23,7 @@ void update_map( void );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load the image
src = imread( argv[1], 1 );
......@@ -37,7 +37,7 @@ int main( int argc, char** argv )
namedWindow( remap_window, CV_WINDOW_AUTOSIZE );
/// Loop
while( true )
for(;;)
{
/// Each 1 sec. Press ESC to exit the program
int c = waitKey( 1000 );
......@@ -71,8 +71,8 @@ void update_map( void )
case 0:
if( i > src.cols*0.25 && i < src.cols*0.75 && j > src.rows*0.25 && j < src.rows*0.75 )
{
map_x.at<float>(j,i) = 2*( i - src.cols*0.25 ) + 0.5 ;
map_y.at<float>(j,i) = 2*( j - src.rows*0.25 ) + 0.5 ;
map_x.at<float>(j,i) = 2*( i - src.cols*0.25f ) + 0.5f ;
map_y.at<float>(j,i) = 2*( j - src.rows*0.25f ) + 0.5f ;
}
else
{ map_x.at<float>(j,i) = 0 ;
......@@ -80,16 +80,16 @@ void update_map( void )
}
break;
case 1:
map_x.at<float>(j,i) = i ;
map_y.at<float>(j,i) = src.rows - j ;
map_x.at<float>(j,i) = (float)i ;
map_y.at<float>(j,i) = (float)(src.rows - j) ;
break;
case 2:
map_x.at<float>(j,i) = src.cols - i ;
map_y.at<float>(j,i) = j ;
map_x.at<float>(j,i) = (float)(src.cols - i) ;
map_y.at<float>(j,i) = (float)j ;
break;
case 3:
map_x.at<float>(j,i) = src.cols - i ;
map_y.at<float>(j,i) = src.rows - j ;
map_x.at<float>(j,i) = (float)(src.cols - i) ;
map_y.at<float>(j,i) = (float)(src.rows - j) ;
break;
} // end of switch
}
......
samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
浏览文件 @ b131dfee
......@@ -14,18 +14,16 @@ using namespace cv;
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
Mat src, src_gray;
Mat grad;
char* window_name = "Sobel Demo - Simple Edge Detector";
const char* window_name = "Sobel Demo - Simple Edge Detector";
int scale = 1;
int delta = 0;
int ddepth = CV_16S;
int c;
/// Load an image
src = imread( argv[1] );
......
samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp
浏览文件 @ b131dfee
......@@ -16,13 +16,13 @@ Mat src, dst;
int top, bottom, left, right;
int borderType;
Scalar value;
char* window_name = "copyMakeBorder Demo";
const char* window_name = "copyMakeBorder Demo";
RNG rng(12345);
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
int c;
......@@ -31,8 +31,9 @@ int main( int argc, char** argv )
src = imread( argv[1] );
if( !src.data )
{ return -1;
{
printf(" No data entered, please enter the path to an image file \n");
return -1;
}
/// Brief how-to for this program
......@@ -52,7 +53,7 @@ int main( int argc, char** argv )
imshow( window_name, dst );
while( true )
for(;;)
{
c = waitKey(500);
......
samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp
浏览文件 @ b131dfee
......@@ -14,7 +14,7 @@ using namespace cv;
/**
* @function main
*/
int main ( int argc, char** argv )
int main ( int, char** argv )
{
/// Declare variables
Mat src, dst;
......@@ -24,7 +24,7 @@ int main ( int argc, char** argv )
double delta;
int ddepth;
int kernel_size;
char* window_name = "filter2D Demo";
const char* window_name = "filter2D Demo";
int c;
......@@ -44,7 +44,7 @@ int main ( int argc, char** argv )
/// Loop - Will filter the image with different kernel sizes each 0.5 seconds
int ind = 0;
while( true )
for(;;)
{
c = waitKey(500);
/// Press 'ESC' to exit the program
......
samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp
浏览文件 @ b131dfee
......@@ -24,7 +24,7 @@ void thresh_callback(int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......@@ -34,7 +34,7 @@ int main( int argc, char** argv )
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
char* source_window = "Source";
const char* source_window = "Source";
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );
......@@ -61,10 +61,10 @@ void thresh_callback(int, void* )
/// Draw contours
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( int i = 0; i< contours.size(); i++ )
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, i, color, 2, 8, hierarchy, 0, Point() );
drawContours( drawing, contours, (int)i, color, 2, 8, hierarchy, 0, Point() );
}
/// Show in a window
......
samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp
浏览文件 @ b131dfee
......@@ -24,7 +24,7 @@ void thresh_callback(int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......@@ -34,7 +34,7 @@ int main( int argc, char** argv )
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
char* source_window = "Source";
const char* source_window = "Source";
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );
......@@ -65,7 +65,7 @@ void thresh_callback(int, void* )
vector<Point2f>center( contours.size() );
vector<float>radius( contours.size() );
for( int i = 0; i < contours.size(); i++ )
for( size_t i = 0; i < contours.size(); i++ )
{ approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
boundRect[i] = boundingRect( Mat(contours_poly[i]) );
minEnclosingCircle( contours_poly[i], center[i], radius[i] );
......@@ -74,10 +74,10 @@ void thresh_callback(int, void* )
/// Draw polygonal contour + bonding rects + circles
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
for( int i = 0; i< contours.size(); i++ )
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours_poly, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
drawContours( drawing, contours_poly, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 );
circle( drawing, center[i], (int)radius[i], color, 2, 8, 0 );
}
......
samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp
浏览文件 @ b131dfee
......@@ -24,7 +24,7 @@ void thresh_callback(int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......@@ -34,7 +34,7 @@ int main( int argc, char** argv )
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
char* source_window = "Source";
const char* source_window = "Source";
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );
......@@ -63,7 +63,7 @@ void thresh_callback(int, void* )
vector<RotatedRect> minRect( contours.size() );
vector<RotatedRect> minEllipse( contours.size() );
for( int i = 0; i < contours.size(); i++ )
for( size_t i = 0; i < contours.size(); i++ )
{ minRect[i] = minAreaRect( Mat(contours[i]) );
if( contours[i].size() > 5 )
{ minEllipse[i] = fitEllipse( Mat(contours[i]) ); }
......@@ -71,11 +71,11 @@ void thresh_callback(int, void* )
/// Draw contours + rotated rects + ellipses
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
for( int i = 0; i< contours.size(); i++ )
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
// contour
drawContours( drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
drawContours( drawing, contours, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
// ellipse
ellipse( drawing, minEllipse[i], color, 2, 8 );
// rotated rectangle
......
samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp
浏览文件 @ b131dfee
......@@ -24,7 +24,7 @@ void thresh_callback(int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......@@ -34,7 +34,7 @@ int main( int argc, char** argv )
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
char* source_window = "Source";
const char* source_window = "Source";
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );
......@@ -63,16 +63,16 @@ void thresh_callback(int, void* )
/// Find the convex hull object for each contour
vector<vector<Point> >hull( contours.size() );
for( int i = 0; i < contours.size(); i++ )
for( size_t i = 0; i < contours.size(); i++ )
{ convexHull( Mat(contours[i]), hull[i], false ); }
/// Draw contours + hull results
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
for( int i = 0; i< contours.size(); i++ )
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
drawContours( drawing, hull, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
drawContours( drawing, contours, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
drawContours( drawing, hull, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
}
/// Show in a window
......
samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp
浏览文件 @ b131dfee
......@@ -24,7 +24,7 @@ void thresh_callback(int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......@@ -34,7 +34,7 @@ int main( int argc, char** argv )
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
char* source_window = "Source";
const char* source_window = "Source";
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );
......@@ -61,20 +61,20 @@ void thresh_callback(int, void* )
/// Get the moments
vector<Moments> mu(contours.size() );
for( int i = 0; i < contours.size(); i++ )
for( size_t i = 0; i < contours.size(); i++ )
{ mu[i] = moments( contours[i], false ); }
/// Get the mass centers:
vector<Point2f> mc( contours.size() );
for( int i = 0; i < contours.size(); i++ )
{ mc[i] = Point2f( mu[i].m10/mu[i].m00 , mu[i].m01/mu[i].m00 ); }
for( size_t i = 0; i < contours.size(); i++ )
{ mc[i] = Point2f( static_cast<float>(mu[i].m10/mu[i].m00) , static_cast<float>(mu[i].m01/mu[i].m00) ); }
/// Draw contours
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( int i = 0; i< contours.size(); i++ )
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, i, color, 2, 8, hierarchy, 0, Point() );
drawContours( drawing, contours, (int)i, color, 2, 8, hierarchy, 0, Point() );
circle( drawing, mc[i], 4, color, -1, 8, 0 );
}
......@@ -84,11 +84,11 @@ void thresh_callback(int, void* )
/// Calculate the area with the moments 00 and compare with the result of the OpenCV function
printf("\t Info: Area and Contour Length \n");
for( int i = 0; i< contours.size(); i++ )
for( size_t i = 0; i< contours.size(); i++ )
{
printf(" * Contour[%d] - Area (M_00) = %.2f - Area OpenCV: %.2f - Length: %.2f \n", i, mu[i].m00, contourArea(contours[i]), arcLength( contours[i], true ) );
printf(" * Contour[%d] - Area (M_00) = %.2f - Area OpenCV: %.2f - Length: %.2f \n", (int)i, mu[i].m00, contourArea(contours[i]), arcLength( contours[i], true ) );
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, i, color, 2, 8, hierarchy, 0, Point() );
drawContours( drawing, contours, (int)i, color, 2, 8, hierarchy, 0, Point() );
circle( drawing, mc[i], 4, color, -1, 8, 0 );
}
}
......
samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp
浏览文件 @ b131dfee
......@@ -16,7 +16,7 @@ using namespace std;
/**
* @function main
*/
int main( int argc, char** argv )
int main( void )
{
/// Create an image
const int r = 100;
......@@ -25,12 +25,12 @@ int main( int argc, char** argv )
/// Create a sequence of points to make a contour:
vector<Point2f> vert(6);
vert[0] = Point( 1.5*r, 1.34*r );
vert[0] = Point( 3*r/2, static_cast<int>(1.34*r) );
vert[1] = Point( 1*r, 2*r );
vert[2] = Point( 1.5*r, 2.866*r );
vert[3] = Point( 2.5*r, 2.866*r );
vert[2] = Point( 3*r/2, static_cast<int>(2.866*r) );
vert[3] = Point( 5*r/2, static_cast<int>(2.866*r) );
vert[4] = Point( 3*r, 2*r );
vert[5] = Point( 2.5*r, 1.34*r );
vert[5] = Point( 5*r/2, static_cast<int>(1.34*r) );
/// Draw it in src
for( int j = 0; j < 6; j++ )
......@@ -47,7 +47,7 @@ int main( int argc, char** argv )
for( int j = 0; j < src.rows; j++ )
{ for( int i = 0; i < src.cols; i++ )
{ raw_dist.at<float>(j,i) = pointPolygonTest( contours[0], Point2f(i,j), true ); }
{ raw_dist.at<float>(j,i) = (float)pointPolygonTest( contours[0], Point2f((float)i,(float)j), true ); }
}
double minVal; double maxVal;
......@@ -61,16 +61,16 @@ int main( int argc, char** argv )
{ for( int i = 0; i < src.cols; i++ )
{
if( raw_dist.at<float>(j,i) < 0 )
{ drawing.at<Vec3b>(j,i)[0] = 255 - (int) abs(raw_dist.at<float>(j,i))*255/minVal; }
{ drawing.at<Vec3b>(j,i)[0] = (uchar)(255 - abs(raw_dist.at<float>(j,i))*255/minVal); }
else if( raw_dist.at<float>(j,i) > 0 )
{ drawing.at<Vec3b>(j,i)[2] = 255 - (int) raw_dist.at<float>(j,i)*255/maxVal; }
{ drawing.at<Vec3b>(j,i)[2] = (uchar)(255 - raw_dist.at<float>(j,i)*255/maxVal); }
else
{ drawing.at<Vec3b>(j,i)[0] = 255; drawing.at<Vec3b>(j,i)[1] = 255; drawing.at<Vec3b>(j,i)[2] = 255; }
}
}
/// Create Window and show your results
char* source_window = "Source";
const char* source_window = "Source";
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );
namedWindow( "Distance", CV_WINDOW_AUTOSIZE );
......
samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp
浏览文件 @ b131dfee
......@@ -26,8 +26,8 @@ double myShiTomasi_minVal; double myShiTomasi_maxVal;
RNG rng(12345);
char* myHarris_window = "My Harris corner detector";
char* myShiTomasi_window = "My Shi Tomasi corner detector";
const char* myHarris_window = "My Harris corner detector";
const char* myShiTomasi_window = "My Shi Tomasi corner detector";
/// Function headers
void myShiTomasi_function( int, void* );
......@@ -36,7 +36,7 @@ void myHarris_function( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......@@ -57,7 +57,7 @@ int main( int argc, char** argv )
{
float lambda_1 = myHarris_dst.at<Vec6f>(j, i)[0];
float lambda_2 = myHarris_dst.at<Vec6f>(j, i)[1];
Mc.at<float>(j,i) = lambda_1*lambda_2 - 0.04*pow( ( lambda_1 + lambda_2 ), 2 );
Mc.at<float>(j,i) = lambda_1*lambda_2 - 0.04f*pow( ( lambda_1 + lambda_2 ), 2 );
}
}
......
samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp
浏览文件 @ b131dfee
......@@ -18,8 +18,8 @@ Mat src, src_gray;
int thresh = 200;
int max_thresh = 255;
char* source_window = "Source image";
char* corners_window = "Corners detected";
const char* source_window = "Source image";
const char* corners_window = "Corners detected";
/// Function header
void cornerHarris_demo( int, void* );
......@@ -27,7 +27,7 @@ void cornerHarris_demo( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......
samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp
浏览文件 @ b131dfee
......@@ -20,7 +20,7 @@ int maxCorners = 10;
int maxTrackbar = 25;
RNG rng(12345);
char* source_window = "Image";
const char* source_window = "Image";
/// Function header
void goodFeaturesToTrack_Demo( int, void* );
......@@ -28,7 +28,7 @@ void goodFeaturesToTrack_Demo( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......@@ -83,7 +83,7 @@ void goodFeaturesToTrack_Demo( int, void* )
/// Draw corners detected
cout<<"** Number of corners detected: "<<corners.size()<<endl;
int r = 4;
for( int i = 0; i < corners.size(); i++ )
for( size_t i = 0; i < corners.size(); i++ )
{ circle( copy, corners[i], r, Scalar(rng.uniform(0,255), rng.uniform(0,255), rng.uniform(0,255)), -1, 8, 0 ); }
/// Show what you got
......@@ -99,7 +99,7 @@ void goodFeaturesToTrack_Demo( int, void* )
cornerSubPix( src_gray, corners, winSize, zeroZone, criteria );
/// Write them down
for( int i = 0; i < corners.size(); i++ )
for( size_t i = 0; i < corners.size(); i++ )
{ cout<<" -- Refined Corner ["<<i<<"] ("<<corners[i].x<<","<<corners[i].y<<")"<<endl; }
}
samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp
浏览文件 @ b131dfee
......@@ -20,7 +20,7 @@ int maxCorners = 23;
int maxTrackbar = 100;
RNG rng(12345);
char* source_window = "Image";
const char* source_window = "Image";
/// Function header
void goodFeaturesToTrack_Demo( int, void* );
......@@ -28,7 +28,7 @@ void goodFeaturesToTrack_Demo( int, void* );
/**
* @function main
*/
int main( int argc, char** argv )
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( argv[1], 1 );
......@@ -83,7 +83,7 @@ void goodFeaturesToTrack_Demo( int, void* )
/// Draw corners detected
cout<<"** Number of corners detected: "<<corners.size()<<endl;
int r = 4;
for( int i = 0; i < corners.size(); i++ )
for( size_t i = 0; i < corners.size(); i++ )
{ circle( copy, corners[i], r, Scalar(rng.uniform(0,255), rng.uniform(0,255), rng.uniform(0,255)), -1, 8, 0 ); }
/// Show what you got
......
samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp
浏览文件 @ b131dfee
#include <iostream>
#include <sstream>
#include <time.h>
#include <stdio.h>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
......@@ -10,7 +11,7 @@
using namespace cv;
using namespace std;
void help()
static void help()
{
cout << "This is a camera calibration sample." << endl
<< "Usage: calibration configurationFile" << endl
......@@ -99,7 +100,7 @@ public:
if (readStringList(input, imageList))
{
inputType = IMAGE_LIST;
nrFrames = (nrFrames < imageList.size()) ? nrFrames : imageList.size();
nrFrames = (nrFrames < (int)imageList.size()) ? nrFrames : (int)imageList.size();
}
else
inputType = VIDEO_FILE;
......@@ -196,11 +197,7 @@ private:
};
void write(FileStorage& fs, const std::string&, const Settings& x)
{
x.write(fs);
}
void read(const FileNode& node, Settings& x, const Settings& default_value = Settings())
static void read(const FileNode& node, Settings& x, const Settings& default_value = Settings())
{
if(node.empty())
x = default_value;
......@@ -282,6 +279,9 @@ int main(int argc, char* argv[])
case Settings::ASYMMETRIC_CIRCLES_GRID:
found = findCirclesGrid( view, s.boardSize, pointBuf, CALIB_CB_ASYMMETRIC_GRID );
break;
default:
found = false;
break;
}
if ( found) // If done with success,
......@@ -336,7 +336,7 @@ int main(int argc, char* argv[])
//------------------------------ Show image and check for input commands -------------------
imshow("Image View", view);
char key = waitKey(s.inputCapture.isOpened() ? 50 : s.delay);
char key = (char)waitKey(s.inputCapture.isOpened() ? 50 : s.delay);
if( key == ESC_KEY )
break;
......@@ -366,7 +366,7 @@ int main(int argc, char* argv[])
continue;
remap(view, rview, map1, map2, INTER_LINEAR);
imshow("Image View", rview);
char c = waitKey();
char c = (char)waitKey();
if( c == ESC_KEY || c == 'q' || c == 'Q' )
break;
}
......@@ -376,11 +376,11 @@ int main(int argc, char* argv[])
return 0;
}
double computeReprojectionErrors( const vector<vector<Point3f> >& objectPoints,
const vector<vector<Point2f> >& imagePoints,
const vector<Mat>& rvecs, const vector<Mat>& tvecs,
const Mat& cameraMatrix , const Mat& distCoeffs,
vector<float>& perViewErrors)
static double computeReprojectionErrors( const vector<vector<Point3f> >& objectPoints,
const vector<vector<Point2f> >& imagePoints,
const vector<Mat>& rvecs, const vector<Mat>& tvecs,
const Mat& cameraMatrix , const Mat& distCoeffs,
vector<float>& perViewErrors)
{
vector<Point2f> imagePoints2;
int i, totalPoints = 0;
......@@ -402,8 +402,8 @@ double computeReprojectionErrors( const vector<vector<Point3f> >& objectPoints,
return std::sqrt(totalErr/totalPoints);
}
void calcBoardCornerPositions(Size boardSize, float squareSize, vector<Point3f>& corners,
Settings::Pattern patternType /*= Settings::CHESSBOARD*/)
static void calcBoardCornerPositions(Size boardSize, float squareSize, vector<Point3f>& corners,
Settings::Pattern patternType /*= Settings::CHESSBOARD*/)
{
corners.clear();
......@@ -421,12 +421,14 @@ void calcBoardCornerPositions(Size boardSize, float squareSize, vector<Point3f>&
for( int j = 0; j < boardSize.width; j++ )
corners.push_back(Point3f(float((2*j + i % 2)*squareSize), float(i*squareSize), 0));
break;
default:
break;
}
}
bool runCalibration( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat& distCoeffs,
vector<vector<Point2f> > imagePoints, vector<Mat>& rvecs, vector<Mat>& tvecs,
vector<float>& reprojErrs, double& totalAvgErr)
static bool runCalibration( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat& distCoeffs,
vector<vector<Point2f> > imagePoints, vector<Mat>& rvecs, vector<Mat>& tvecs,
vector<float>& reprojErrs, double& totalAvgErr)
{
cameraMatrix = Mat::eye(3, 3, CV_64F);
......@@ -455,16 +457,16 @@ bool runCalibration( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat& distC
}
// Print camera parameters to the output file
void saveCameraParams( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat& distCoeffs,
const vector<Mat>& rvecs, const vector<Mat>& tvecs,
const vector<float>& reprojErrs, const vector<vector<Point2f> >& imagePoints,
double totalAvgErr )
static void saveCameraParams( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat& distCoeffs,
const vector<Mat>& rvecs, const vector<Mat>& tvecs,
const vector<float>& reprojErrs, const vector<vector<Point2f> >& imagePoints,
double totalAvgErr )
{
FileStorage fs( s.outputFileName, FileStorage::WRITE );
time_t t;
time( &t );
struct tm *t2 = localtime( &t );
time_t tm;
time( &tm );
struct tm *t2 = localtime( &tm );
char buf[1024];
strftime( buf, sizeof(buf)-1, "%c", t2 );
......@@ -522,7 +524,7 @@ void saveCameraParams( Settings& s, Size& imageSize, Mat& cameraMatrix, Mat& dis
if( !imagePoints.empty() )
{
Mat imagePtMat((int)imagePoints.size(), imagePoints[0].size(), CV_32FC2);
Mat imagePtMat((int)imagePoints.size(), (int)imagePoints[0].size(), CV_32FC2);
for( int i = 0; i < (int)imagePoints.size(); i++ )
{
Mat r = imagePtMat.row(i).reshape(2, imagePtMat.cols);
......
samples/cpp/tutorial_code/calib3d/stereoBM/SBM_Sample.cpp
浏览文件 @ b131dfee
......@@ -12,7 +12,7 @@
using namespace cv;
char *windowDisparity = "Disparity";
const char *windowDisparity = "Disparity";
void readme();
......
samples/cpp/tutorial_code/contrib/retina_tutorial.cpp
浏览文件 @ b131dfee
......@@ -118,7 +118,7 @@ int main(int argc, char* argv[]) {
cv::Mat retinaOutput_magno;
// processing loop with no stop condition
while(true)
for(;;)
{
// if using video stream, then, grabbing a new frame, else, input remains the same
if (videoCapture.isOpened())
......
samples/cpp/tutorial_code/core/Matrix/Drawing_1.cpp
浏览文件 @ b131dfee
......@@ -20,7 +20,7 @@ void MyLine( Mat img, Point start, Point end );
* @function main
* @brief Main function
*/
int main( int argc, char **argv ){
int main( void ){
/// Windows names
char atom_window[] = "Drawing 1: Atom";
......@@ -40,7 +40,7 @@ int main( int argc, char **argv ){
MyEllipse( atom_image, -45 );
/// 1.b. Creating circles
MyFilledCircle( atom_image, Point( w/2.0, w/2.0) );
MyFilledCircle( atom_image, Point( w/2, w/2) );
/// 2. Draw a rook
/// ------------------
......@@ -50,7 +50,7 @@ int main( int argc, char **argv ){
/// 2.b. Creating rectangles
rectangle( rook_image,
Point( 0, 7*w/8.0 ),
Point( 0, 7*w/8 ),
Point( w, w),
Scalar( 0, 255, 255 ),
-1,
......@@ -84,8 +84,8 @@ void MyEllipse( Mat img, double angle )
int lineType = 8;
ellipse( img,
Point( w/2.0, w/2.0 ),
Size( w/4.0, w/16.0 ),
Point( w/2, w/2 ),
Size( w/4, w/16 ),
angle,
0,
360,
......@@ -105,7 +105,7 @@ void MyFilledCircle( Mat img, Point center )
circle( img,
center,
w/32.0,
w/32,
Scalar( 0, 0, 255 ),
thickness,
lineType );
......@@ -121,26 +121,26 @@ void MyPolygon( Mat img )
/** Create some points */
Point rook_points[1][20];
rook_points[0][0] = Point( w/4.0, 7*w/8.0 );
rook_points[0][1] = Point( 3*w/4.0, 7*w/8.0 );
rook_points[0][2] = Point( 3*w/4.0, 13*w/16.0 );
rook_points[0][3] = Point( 11*w/16.0, 13*w/16.0 );
rook_points[0][4] = Point( 19*w/32.0, 3*w/8.0 );
rook_points[0][5] = Point( 3*w/4.0, 3*w/8.0 );
rook_points[0][6] = Point( 3*w/4.0, w/8.0 );
rook_points[0][7] = Point( 26*w/40.0, w/8.0 );
rook_points[0][8] = Point( 26*w/40.0, w/4.0 );
rook_points[0][9] = Point( 22*w/40.0, w/4.0 );
rook_points[0][10] = Point( 22*w/40.0, w/8.0 );
rook_points[0][11] = Point( 18*w/40.0, w/8.0 );
rook_points[0][12] = Point( 18*w/40.0, w/4.0 );
rook_points[0][13] = Point( 14*w/40.0, w/4.0 );
rook_points[0][14] = Point( 14*w/40.0, w/8.0 );
rook_points[0][15] = Point( w/4.0, w/8.0 );
rook_points[0][16] = Point( w/4.0, 3*w/8.0 );
rook_points[0][17] = Point( 13*w/32.0, 3*w/8.0 );
rook_points[0][18] = Point( 5*w/16.0, 13*w/16.0 );
rook_points[0][19] = Point( w/4.0, 13*w/16.0) ;
rook_points[0][0] = Point( w/4, 7*w/8 );
rook_points[0][1] = Point( 3*w/4, 7*w/8 );
rook_points[0][2] = Point( 3*w/4, 13*w/16 );
rook_points[0][3] = Point( 11*w/16, 13*w/16 );
rook_points[0][4] = Point( 19*w/32, 3*w/8 );
rook_points[0][5] = Point( 3*w/4, 3*w/8 );
rook_points[0][6] = Point( 3*w/4, w/8 );
rook_points[0][7] = Point( 26*w/40, w/8 );
rook_points[0][8] = Point( 26*w/40, w/4 );
rook_points[0][9] = Point( 22*w/40, w/4 );
rook_points[0][10] = Point( 22*w/40, w/8 );
rook_points[0][11] = Point( 18*w/40, w/8 );
rook_points[0][12] = Point( 18*w/40, w/4 );
rook_points[0][13] = Point( 14*w/40, w/4 );
rook_points[0][14] = Point( 14*w/40, w/8 );
rook_points[0][15] = Point( w/4, w/8 );
rook_points[0][16] = Point( w/4, 3*w/8 );
rook_points[0][17] = Point( 13*w/32, 3*w/8 );
rook_points[0][18] = Point( 5*w/16, 13*w/16 );
rook_points[0][19] = Point( w/4, 13*w/16 );
const Point* ppt[1] = { rook_points[0] };
int npt[] = { 20 };
......
samples/cpp/tutorial_code/core/Matrix/Drawing_2.cpp
浏览文件 @ b131dfee
......@@ -36,7 +36,7 @@ int Displaying_Big_End( Mat image, char* window_name, RNG rng );
/**
* @function main
*/
int main( int argc, char** argv )
int main( void )
{
int c;
......@@ -106,7 +106,6 @@ static Scalar randomColor( RNG& rng )
*/
int Drawing_Random_Lines( Mat image, char* window_name, RNG rng )
{
int lineType = 8;
Point pt1, pt2;
for( int i = 0; i < NUMBER; i++ )
......@@ -303,7 +302,7 @@ int Displaying_Random_Text( Mat image, char* window_name, RNG rng )
/**
* @function Displaying_Big_End
*/
int Displaying_Big_End( Mat image, char* window_name, RNG rng )
int Displaying_Big_End( Mat image, char* window_name, RNG )
{
Size textsize = getTextSize("OpenCV forever!", CV_FONT_HERSHEY_COMPLEX, 3, 5, 0);
Point org((window_width - textsize.width)/2, (window_height - textsize.height)/2);
......
samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp
浏览文件 @ b131dfee
......@@ -7,7 +7,7 @@
using namespace cv;
using namespace std;
void help(char* progName)
static void help(char* progName)
{
cout << endl
<< "This program demonstrated the use of the discrete Fourier transform (DFT). " << endl
......
samples/cpp/tutorial_code/core/file_input_output/file_input_output.cpp
浏览文件 @ b131dfee
......@@ -5,7 +5,7 @@
using namespace cv;
using namespace std;
void help(char** av)
static void help(char** av)
{
cout << endl
<< av[0] << " shows the usage of the OpenCV serialization functionality." << endl
......@@ -42,11 +42,11 @@ public: // Data Members
};
//These write and read functions must be defined for the serialization in FileStorage to work
void write(FileStorage& fs, const std::string&, const MyData& x)
static void write(FileStorage& fs, const std::string&, const MyData& x)
{
x.write(fs);
}
void read(const FileNode& node, MyData& x, const MyData& default_value = MyData()){
static void read(const FileNode& node, MyData& x, const MyData& default_value = MyData()){
if(node.empty())
x = default_value;
else
......@@ -54,7 +54,7 @@ void read(const FileNode& node, MyData& x, const MyData& default_value = MyData(
}
// This function will print our custom class to the console
ostream& operator<<(ostream& out, const MyData& m)
static ostream& operator<<(ostream& out, const MyData& m)
{
out << "{ id = " << m.id << ", ";
out << "X = " << m.X << ", ";
......
samples/cpp/tutorial_code/core/how_to_scan_images/how_to_scan_images.cpp
浏览文件 @ b131dfee
......@@ -6,7 +6,7 @@
using namespace std;
using namespace cv;
void help()
static void help()
{
cout
<< "\n--------------------------------------------------------------------------" << endl
......@@ -57,7 +57,7 @@ int main( int argc, char* argv[])
uchar table[256];
for (int i = 0; i < 256; ++i)
table[i] = divideWith* (i/divideWith);
table[i] = (uchar)(divideWith * (i/divideWith));
const int times = 100;
double t;
......
samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp
浏览文件 @ b131dfee
......@@ -8,7 +8,7 @@
using namespace cv; // The new C++ interface API is inside this namespace. Import it.
using namespace std;
void help( char* progName)
static void help( char* progName)
{
cout << endl << progName
<< " shows how to use cv::Mat and IplImages together (converting back and forth)." << endl
......
samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp
浏览文件 @ b131dfee
......@@ -6,7 +6,7 @@
using namespace std;
using namespace cv;
void help(char* progName)
static void help(char* progName)
{
cout << endl
<< "This program shows how to filter images with mask: the write it yourself and the"
......
samples/cpp/tutorial_code/core/mat_the_basic_image_container/mat_the_basic_image_container.cpp
浏览文件 @ b131dfee
......@@ -6,7 +6,7 @@
using namespace std;
using namespace cv;
void help()
static void help()
{
cout
<< "\n--------------------------------------------------------------------------" << endl
......@@ -77,8 +77,8 @@ int main(int,char**)
cout << "Vector of floats via Mat = " << Mat(v) << endl << endl;
vector<Point2f> vPoints(20);
for (size_t E = 0; E < vPoints.size(); ++E)
vPoints[E] = Point2f((float)(E * 5), (float)(E % 7));
for (size_t i = 0; i < vPoints.size(); ++i)
vPoints[i] = Point2f((float)(i * 5), (float)(i % 7));
cout << "A vector of 2D Points = " << vPoints << endl << endl;
return 0;
......
samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp
浏览文件 @ b131dfee
......@@ -83,7 +83,7 @@ int main( int argc, char** argv )
//-- Show detected matches
imshow( "Good Matches", img_matches );
for( int i = 0; i < good_matches.size(); i++ )
for( int i = 0; i < (int)good_matches.size(); i++ )
{ printf( "-- Good Match [%d] Keypoint 1: %d -- Keypoint 2: %d \n", i, good_matches[i].queryIdx, good_matches[i].trainIdx ); }
waitKey(0);
......
samples/cpp/tutorial_code/features2D/SURF_Homography.cpp
浏览文件 @ b131dfee
......@@ -10,7 +10,7 @@
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/nonfree/features2d.cpp"
#include "opencv2/nonfree/features2d.hpp"
using namespace cv;
......@@ -84,7 +84,7 @@ int main( int argc, char** argv )
std::vector<Point2f> obj;
std::vector<Point2f> scene;
for( int i = 0; i < good_matches.size(); i++ )
for( size_t i = 0; i < good_matches.size(); i++ )
{
//-- Get the keypoints from the good matches
obj.push_back( keypoints_object[ good_matches[i].queryIdx ].pt );
......@@ -103,10 +103,11 @@ int main( int argc, char** argv )
//-- Draw lines between the corners (the mapped object in the scene - image_2 )
line( img_matches, scene_corners[0] + Point2f( img_object.cols, 0), scene_corners[1] + Point2f( img_object.cols, 0), Scalar(0, 255, 0), 4 );
line( img_matches, scene_corners[1] + Point2f( img_object.cols, 0), scene_corners[2] + Point2f( img_object.cols, 0), Scalar( 0, 255, 0), 4 );
line( img_matches, scene_corners[2] + Point2f( img_object.cols, 0), scene_corners[3] + Point2f( img_object.cols, 0), Scalar( 0, 255, 0), 4 );
line( img_matches, scene_corners[3] + Point2f( img_object.cols, 0), scene_corners[0] + Point2f( img_object.cols, 0), Scalar( 0, 255, 0), 4 );
Point2f offset( (float)img_object.cols, 0);
line( img_matches, scene_corners[0] + offset, scene_corners[1] + offset, Scalar(0, 255, 0), 4 );
line( img_matches, scene_corners[1] + offset, scene_corners[2] + offset, Scalar( 0, 255, 0), 4 );
line( img_matches, scene_corners[2] + offset, scene_corners[3] + offset, Scalar( 0, 255, 0), 4 );
line( img_matches, scene_corners[3] + offset, scene_corners[0] + offset, Scalar( 0, 255, 0), 4 );
//-- Show detected matches
imshow( "Good Matches & Object detection", img_matches );
......
samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp
浏览文件 @ b131dfee
......@@ -9,7 +9,7 @@
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/features2d.cpp"
#include "opencv2/nonfree/features2d.hpp"
using namespace cv;
......@@ -49,7 +49,7 @@ int main( int argc, char** argv )
extractor.compute( img_2, keypoints_2, descriptors_2 );
//-- Step 3: Matching descriptor vectors with a brute force matcher
BruteForceMatcher< L2<float> > matcher;
BFMatcher matcher(NORM_L2);
std::vector< DMatch > matches;
matcher.match( descriptors_1, descriptors_2, matches );
......
samples/cpp/tutorial_code/features2D/SURF_detector.cpp
浏览文件 @ b131dfee
......@@ -9,7 +9,7 @@
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/nonfree/features2d.cpp"
#include "opencv2/nonfree/features2d.hpp"
using namespace cv;
......
samples/cpp/tutorial_code/gpu/gpu-basics-similarity/gpu-basics-similarity.cpp
浏览文件 @ b131dfee
......@@ -42,7 +42,7 @@ struct BufferMSSIM // Optimized GPU versions
};
Scalar getMSSIM_GPU_optimized( const Mat& i1, const Mat& i2, BufferMSSIM& b);
void help()
static void help()
{
cout
<< "\n--------------------------------------------------------------------------" << endl
......@@ -54,7 +54,7 @@ void help()
<< endl;
}
int main(int argc, char *argv[])
int main(int, char *argv[])
{
help();
Mat I1 = imread(argv[1]); // Read the two images
......@@ -72,7 +72,7 @@ int main(int argc, char *argv[])
int TIMES;
stringstream sstr(argv[3]);
sstr >> TIMES;
double time, result;
double time, result = 0;
//------------------------------- PSNR CPU ----------------------------------------------------
time = (double)getTickCount();
......@@ -84,7 +84,7 @@ int main(int argc, char *argv[])
time /= TIMES;
cout << "Time of PSNR CPU (averaged for " << TIMES << " runs): " << time << " milliseconds."
<< " With result of: " << result << endl;
<< " With result of: " << result << endl;
//------------------------------- PSNR GPU ----------------------------------------------------
time = (double)getTickCount();
......@@ -291,17 +291,17 @@ Scalar getMSSIM_GPU( const Mat& i1, const Mat& i2)
{
const float C1 = 6.5025f, C2 = 58.5225f;
/***************************** INITS **********************************/
gpu::GpuMat gI1, gI2, gs1, t1,t2;
gpu::GpuMat gI1, gI2, gs1, tmp1,tmp2;
gI1.upload(i1);
gI2.upload(i2);
gI1.convertTo(t1, CV_MAKE_TYPE(CV_32F, gI1.channels()));
gI2.convertTo(t2, CV_MAKE_TYPE(CV_32F, gI2.channels()));
gI1.convertTo(tmp1, CV_MAKE_TYPE(CV_32F, gI1.channels()));
gI2.convertTo(tmp2, CV_MAKE_TYPE(CV_32F, gI2.channels()));
vector<gpu::GpuMat> vI1, vI2;
gpu::split(t1, vI1);
gpu::split(t2, vI2);
gpu::split(tmp1, vI1);
gpu::split(tmp2, vI2);
Scalar mssim;
for( int i = 0; i < gI1.channels(); ++i )
......@@ -356,8 +356,6 @@ Scalar getMSSIM_GPU( const Mat& i1, const Mat& i2)
Scalar getMSSIM_GPU_optimized( const Mat& i1, const Mat& i2, BufferMSSIM& b)
{
int cn = i1.channels();
const float C1 = 6.5025f, C2 = 58.5225f;
/***************************** INITS **********************************/
......
samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/Test.cpp
浏览文件 @ b131dfee
......@@ -14,7 +14,7 @@ using namespace cv;
double getPSNR ( const Mat& I1, const Mat& I2);
Scalar getMSSIM( const Mat& I1, const Mat& I2);
void help()
static void help()
{
cout
<< "\n--------------------------------------------------------------------------" << endl
......@@ -26,7 +26,7 @@ void help()
<< "--------------------------------------------------------------------------" << endl
<< endl;
}
int main(int argc, char *argv[], char *window_name)
int main(int argc, char *argv[])
{
help();
if (argc != 5)
......@@ -89,7 +89,7 @@ int main(int argc, char *argv[], char *window_name)
double psnrV;
Scalar mssimV;
while( true) //Show the image captured in the window and repeat
for(;;) //Show the image captured in the window and repeat
{
captRefrnc >> frameReference;
captUndTst >> frameUnderTest;
......@@ -124,7 +124,7 @@ int main(int argc, char *argv[], char *window_name)
imshow( WIN_RF, frameReference);
imshow( WIN_UT, frameUnderTest);
c = cvWaitKey(delay);
c = (char)cvWaitKey(delay);
if (c == 27) break;
}
......
samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp
浏览文件 @ b131dfee
......@@ -9,7 +9,7 @@
using namespace cv;
using namespace std;
void help()
static void help()
{
cout<< "\n--------------------------------------------------------------------------" << endl
<< "This program shows Support Vector Machines for Non-Linearly Separable Data. " << endl
......
samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
浏览文件 @ b131dfee
......@@ -28,7 +28,7 @@ RNG rng(12345);
/**
* @function main
*/
int main( int argc, const char** argv )
int main( void )
{
CvCapture* capture;
Mat frame;
......@@ -41,7 +41,7 @@ int main( int argc, const char** argv )
capture = cvCaptureFromCAM( -1 );
if( capture )
{
while( true )
for(;;)
{
frame = cvQueryFrame( capture );
......@@ -72,10 +72,10 @@ void detectAndDisplay( Mat frame )
//-- Detect faces
face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) );
for( int i = 0; i < faces.size(); i++ )
for( size_t i = 0; i < faces.size(); i++ )
{
Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 2, 8, 0 );
Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 );
ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2), 0, 0, 360, Scalar( 255, 0, 255 ), 2, 8, 0 );
Mat faceROI = frame_gray( faces[i] );
std::vector<Rect> eyes;
......@@ -83,11 +83,11 @@ void detectAndDisplay( Mat frame )
//-- In each face, detect eyes
eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0 |CV_HAAR_SCALE_IMAGE, Size(30, 30) );
for( int j = 0; j < eyes.size(); j++ )
for( size_t j = 0; j < eyes.size(); j++ )
{
Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
Point eye_center( faces[i].x + eyes[j].x + eyes[j].width/2, faces[i].y + eyes[j].y + eyes[j].height/2 );
int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
circle( frame, center, radius, Scalar( 255, 0, 0 ), 3, 8, 0 );
circle( frame, eye_center, radius, Scalar( 255, 0, 0 ), 3, 8, 0 );
}
}
//-- Show what you got
......
samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp
浏览文件 @ b131dfee
......@@ -28,7 +28,7 @@ RNG rng(12345);
/**
* @function main
*/
int main( int argc, const char** argv )
int main( void )
{
CvCapture* capture;
Mat frame;
......@@ -41,7 +41,7 @@ int main( int argc, const char** argv )
capture = cvCaptureFromCAM( -1 );
if( capture )
{
while( true )
for(;;)
{
frame = cvQueryFrame( capture );
......@@ -73,7 +73,7 @@ void detectAndDisplay( Mat frame )
//-- Detect faces
face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(80, 80) );
for( int i = 0; i < faces.size(); i++ )
for( size_t i = 0; i < faces.size(); i++ )
{
Mat faceROI = frame_gray( faces[i] );
std::vector<Rect> eyes;
......@@ -83,14 +83,14 @@ void detectAndDisplay( Mat frame )
if( eyes.size() == 2)
{
//-- Draw the face
Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 0 ), 2, 8, 0 );
Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 );
ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2), 0, 0, 360, Scalar( 255, 0, 0 ), 2, 8, 0 );
for( int j = 0; j < eyes.size(); j++ )
for( size_t j = 0; j < eyes.size(); j++ )
{ //-- Draw the eyes
Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
Point eye_center( faces[i].x + eyes[j].x + eyes[j].width/2, faces[i].y + eyes[j].y + eyes[j].height/2 );
int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
circle( frame, center, radius, Scalar( 255, 0, 255 ), 3, 8, 0 );
circle( frame, eye_center, radius, Scalar( 255, 0, 255 ), 3, 8, 0 );
}
}
......
Markdown is supported
0% 或 .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑！
想要评论请 注册 或