Commit 998fab0e authored by Anatoly Baksheev's avatar Anatoly Baksheev

warningx fixed under vs2008

parent 0545e780
......@@ -1155,7 +1155,7 @@ ChamferMatcher::Matches* ChamferMatcher::Matching::matchTemplates(Mat& dist_img,
* @param edge_img Edge image
* @return a match object
*/
ChamferMatcher::Matches* ChamferMatcher::Matching::matchEdgeImage(Mat& edge_img, const ImageRange& range, float orientation_weight, int max_matches, float min_match_distance)
ChamferMatcher::Matches* ChamferMatcher::Matching::matchEdgeImage(Mat& edge_img, const ImageRange& range, float orientation_weight, int /*max_matches*/, float /*min_match_distance*/)
{
CV_Assert(edge_img.channels()==1);
......
......@@ -44,7 +44,7 @@ void matches2points(const vector<DMatch>& matches, const vector<KeyPoint>& kpts_
}
double match(const vector<KeyPoint>& kpts_train, const vector<KeyPoint>& kpts_query, DescriptorMatcher& matcher,
double match(const vector<KeyPoint>& /*kpts_train*/, const vector<KeyPoint>& /*kpts_query*/, DescriptorMatcher& matcher,
const Mat& train, const Mat& query, vector<DMatch>& matches)
{
......@@ -106,7 +106,7 @@ int main(int ac, char ** av)
cout << "matching with BruteForceMatcher<HammingLUT>" << endl;
BruteForceMatcher<HammingLUT> matcher;
vector<DMatch> matches_lut;
float lut_time = match(kpts_1, kpts_2, matcher, desc_1, desc_2, matches_lut);
float lut_time = (float)match(kpts_1, kpts_2, matcher, desc_1, desc_2, matches_lut);
cout << "done BruteForceMatcher<HammingLUT> matching. took " << lut_time << " seconds" << endl;
cout << "matching with BruteForceMatcher<Hamming>" << endl;
......
......@@ -59,7 +59,7 @@ int main( int argc, char** argv )
// Define trackbar callback functon. This function find contours,
// draw it and approximate it by ellipses.
void processImage(int h, void*)
void processImage(int /*h*/, void*)
{
vector<vector<Point> > contours;
Mat bimage = image >= sliderPos;
......
......@@ -14,7 +14,7 @@ void help()
"./kmeans\n" << endl;
}
int main( int argc, char** argv )
int main( int /*argc*/, char** /*argv*/ )
{
const int MAX_CLUSTERS = 5;
Scalar colorTab[] =
......
......@@ -26,7 +26,7 @@ void help()
Point2f pt;
bool addRemovePt = false;
void onMouse( int event, int x, int y, int flags, void* param )
void onMouse( int event, int x, int y, int /*flags*/, void* /*param*/ )
{
if( event == CV_EVENT_LBUTTONDOWN )
{
......
......@@ -16,7 +16,7 @@ void help()
int main( int argc, char** argv )
int main( int /*argc*/, char** /*argv*/ )
{
Mat img(500, 500, CV_8UC3);
RNG& rng = theRNG();
......
/*
* starter_video.cpp
*
* Created on: Nov 23, 2010
* Author: Ethan Rublee
*
* A starter sample for using opencv, get a video stream and display the images
* easy as CV_PI right?
*/
* starter_video.cpp
*
* Created on: Nov 23, 2010
* Author: Ethan Rublee
*
* A starter sample for using opencv, get a video stream and display the images
* easy as CV_PI right?
*/
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
#include <vector>
......@@ -16,7 +16,7 @@ using namespace std;
//hide the local functions in an anon namespace
namespace {
void help(char** av) {
void help(char** av) {
cout << "\nThis program justs gets you started reading images from video\n"
"Usage:\n./" << av[0] << " <video device number>\n"
<< "\tThis is a starter sample, to get you up and going in a copy pasta fashion\n"
......@@ -24,9 +24,9 @@ void help(char** av) {
<< "\tTo find the video device number, try ls /dev/video* \n"
<< "\tYou may also pass a video file, like my_vide.avi instead of a device number"
<< endl;
}
}
int process(VideoCapture& capture) {
int process(VideoCapture& capture) {
string window_name = "video | q or esc to quit";
cout << "press q or esc to quit" << endl;
namedWindow(window_name, CV_WINDOW_KEEPRATIO); //resizable window;
......@@ -47,7 +47,7 @@ int process(VideoCapture& capture) {
}
}
return 0;
}
}
}
......
/*
* video_homography.cpp
*
* Created on: Oct 18, 2010
* Author: erublee
*/
* video_homography.cpp
*
* Created on: Oct 18, 2010
* Author: erublee
*/
#include <opencv2/calib3d/calib3d.hpp>
#include <opencv2/highgui/highgui.hpp>
......@@ -29,10 +29,10 @@ void help(char **av)
namespace
{
void drawMatchesRelative(const vector<KeyPoint>& train, const vector<KeyPoint>& query,
void drawMatchesRelative(const vector<KeyPoint>& train, const vector<KeyPoint>& query,
std::vector<cv::DMatch>& matches, Mat& img, const vector<unsigned char>& mask = vector<
unsigned char> ())
{
{
for (int i = 0; i < (int)matches.size(); i++)
{
if (mask.empty() || mask[i])
......@@ -46,46 +46,46 @@ void drawMatchesRelative(const vector<KeyPoint>& train, const vector<KeyPoint>&
}
}
}
}
//Takes a descriptor and turns it into an xy point
void keypoints2points(const vector<KeyPoint>& in, vector<Point2f>& out)
{
//Takes a descriptor and turns it into an xy point
void keypoints2points(const vector<KeyPoint>& in, vector<Point2f>& out)
{
out.clear();
out.reserve(in.size());
for (size_t i = 0; i < in.size(); ++i)
{
out.push_back(in[i].pt);
}
}
}
//Takes an xy point and appends that to a keypoint structure
void points2keypoints(const vector<Point2f>& in, vector<KeyPoint>& out)
{
//Takes an xy point and appends that to a keypoint structure
void points2keypoints(const vector<Point2f>& in, vector<KeyPoint>& out)
{
out.clear();
out.reserve(in.size());
for (size_t i = 0; i < in.size(); ++i)
{
out.push_back(KeyPoint(in[i], 1));
}
}
}
//Uses computed homography H to warp original input points to new planar position
void warpKeypoints(const Mat& H, const vector<KeyPoint>& in, vector<KeyPoint>& out)
{
//Uses computed homography H to warp original input points to new planar position
void warpKeypoints(const Mat& H, const vector<KeyPoint>& in, vector<KeyPoint>& out)
{
vector<Point2f> pts;
keypoints2points(in, pts);
vector<Point2f> pts_w(pts.size());
Mat m_pts_w(pts_w);
perspectiveTransform(Mat(pts), m_pts_w, H);
points2keypoints(pts_w, out);
}
}
//Converts matching indices to xy points
void matches2points(const vector<KeyPoint>& train, const vector<KeyPoint>& query,
//Converts matching indices to xy points
void matches2points(const vector<KeyPoint>& train, const vector<KeyPoint>& query,
const std::vector<cv::DMatch>& matches, std::vector<cv::Point2f>& pts_train,
std::vector<Point2f>& pts_query)
{
{
pts_train.clear();
pts_query.clear();
......@@ -104,12 +104,12 @@ void matches2points(const vector<KeyPoint>& train, const vector<KeyPoint>& query
}
}
}
void resetH(Mat&H)
{
void resetH(Mat&H)
{
H = Mat::eye(3, 3, CV_32FC1);
}
}
}
int main(int ac, char ** av)
......@@ -210,7 +210,7 @@ int main(int ac, char ** av)
train_kpts = query_kpts;
query_desc.copyTo(train_desc);
}
char key = waitKey(2);
char key = (char)waitKey(2);
switch (key)
{
case 'l':
......
......@@ -222,7 +222,7 @@ void CV_ChessboardDetectorTest::run_batch( const string& filename )
Size pattern_size = expected.size();
vector<Point2f> v;
bool result;
bool result = false;
switch( pattern )
{
case CHESSBOARD:
......
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