本文整理汇总了C++中MarkerDetector::pyrDown方法的典型用法代码示例。如果您正苦于以下问题:C++ MarkerDetector::pyrDown方法的具体用法?C++ MarkerDetector::pyrDown怎么用?C++ MarkerDetector::pyrDown使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类MarkerDetector
的用法示例。
在下文中一共展示了MarkerDetector::pyrDown方法的5个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
int main(int argc,char **argv)
{
try
{
if (readArguments (argc,argv)==false) {
return 0;
}
//parse arguments
;
//read from camera or from file
if (TheInputVideo=="live") {
TheVideoCapturer.open(0);
waitTime=10;
}
else TheVideoCapturer.open(TheInputVideo);
//check video is open
if (!TheVideoCapturer.isOpened()) {
cerr<<"Could not open video"<<endl;
return -1;
}
//read first image to get the dimensions
TheVideoCapturer>>TheInputImage;
//read camera parameters if passed
if (TheIntrinsicFile!="") {
TheCameraParameters.readFromXMLFile(TheIntrinsicFile);
TheCameraParameters.resize(TheInputImage.size());
}
//Configure other parameters
if (ThePyrDownLevel>0)
MDetector.pyrDown(ThePyrDownLevel);
//begin copy-paste from http://stackoverflow.com/questions/11550021/converting-a-mat-file-from-matlab-into-cvmat-matrix-in-opencv
Mat oneVect;
Mat useVecLat;
Mat someVects;
Mat zeroYzero;
string demoFile = "demo.yml";
FileStorage fsDemo( demoFile, FileStorage::READ);
fsDemo["oneVect"] >> oneVect;
fsDemo["oneVect"] >> useVecLat;
fsDemo["oneVect"] >> zeroYzero;
fsDemo["someVects"] >> someVects;
cout << "Print the contents of oneVect:" << endl;
cout << oneVect << endl;
fsDemo.release(); //close the file
// Declare what you need
// FileStorage fileOutt("reading_positions.yml", FileStorage::WRITE);
//end copy-paste from http://stackoverflow.com/questions/11550021/converting-a-mat-file-from-matlab-into-cvmat-matrix-in-opencv
cout << "an element oneVect:" << endl;
cout << oneVect.at<float>(0,1) << endl;
// to access the 42 in this YAML:
//oneVect: !!opencv-matrix
// rows: 1
// cols: 3
// dt: f
// data: [ 4, 3, 42, 55]
// do oneVect.at<float>(0,2)
//end data input
//Create gui
cv::namedWindow("thres",1);
cv::namedWindow("in",1);
MDetector.getThresholdParams( ThresParam1,ThresParam2);
MDetector.setCornerRefinementMethod(MarkerDetector::LINES);
iThresParam1=ThresParam1;
iThresParam2=ThresParam2;
cv::createTrackbar("ThresParam1", "in",&iThresParam1, 13, cvTackBarEvents);
cv::createTrackbar("ThresParam2", "in",&iThresParam2, 13, cvTackBarEvents);
//.........这里部分代码省略.........
示例2:
JNIEXPORT void JNICALL Java_wrapper_MarkerDetector_JpyrDown(JNIEnv * env, jobject obj, jint level){
MarkerDetector *inst = getHandle<MarkerDetector>(env, obj);
inst->pyrDown((int)level);
}
示例3: main
int main(int argc,char **argv)
{
try
{
if (readArguments (argc,argv)==false) {
return 0;
}
//parse arguments
;
//read from camera or from file
if (TheInputVideo=="live") {
TheVideoCapturer.open(0);
waitTime=10;
}
else TheVideoCapturer.open(TheInputVideo);
//check video is open
if (!TheVideoCapturer.isOpened()) {
cerr<<"Could not open video"<<endl;
return -1;
}
//read first image to get the dimensions
TheVideoCapturer>>TheInputImage;
//read camera parameters if passed
if (TheIntrinsicFile!="") {
TheCameraParameters.readFromXMLFile(TheIntrinsicFile);
TheCameraParameters.resize(TheInputImage.size());
}
//Configure other parameters
if (ThePyrDownLevel>0)
MDetector.pyrDown(ThePyrDownLevel);
//Create gui
MDetector.getThresholdParams( ThresParam1,ThresParam2);
MDetector.setCornerRefinementMethod(MarkerDetector::LINES);
/*
cv::namedWindow("thres",1);
cv::namedWindow("in",1);
iThresParam1=ThresParam1;
iThresParam2=ThresParam2;
cv::createTrackbar("ThresParam1", "in",&iThresParam1, 13, cvTackBarEvents);
cv::createTrackbar("ThresParam2", "in",&iThresParam2, 13, cvTackBarEvents);
*/
char key=0;
int index=0;
//capture until press ESC or until the end of the video
while ( key!=27 && TheVideoCapturer.grab() ) // && index <= 50)
{
TheVideoCapturer.retrieve( TheInputImage);
//copy image
index++; //number of images captured
double tick = (double)getTickCount();//for checking the speed
//Detection of markers in the image passed
MDetector.detect(TheInputImage,TheMarkers,TheCameraParameters,TheMarkerSize);
//chekc the speed by calculating the mean speed of all iterations
AvrgTime.first+=((double)getTickCount()-tick)/getTickFrequency();
AvrgTime.second++;
//cout<<"Time detection="<<1000*AvrgTime.first/AvrgTime.second<<" milliseconds"<<endl;
//print marker info and draw the markers in image
TheInputImage.copyTo(TheInputImageCopy);
for (unsigned int i=0;i<TheMarkers.size();i++) {
if (AllMarkers.count( TheMarkers[i].id ) == 0)
AllMarkers[TheMarkers[i].id] = map<int,Marker>();
AllMarkers[TheMarkers[i].id][index] = TheMarkers[i];
cout<<index<<endl;
cout<<TheMarkers[i]<<endl;
TheMarkers[i].draw(TheInputImageCopy,Scalar(0,0,255),1);
}
//print other rectangles that contains no valid markers
/** for (unsigned int i=0;i<MDetector.getCandidates().size();i++) {
aruco::Marker m( MDetector.getCandidates()[i],999);
m.draw(TheInputImageCopy,cv::Scalar(255,0,0));
}*/
//draw a 3d cube in each marker if there is 3d info
if ( TheCameraParameters.isValid())
for (unsigned int i=0;i<TheMarkers.size();i++) {
CvDrawingUtils::draw3dCube(TheInputImageCopy,TheMarkers[i],TheCameraParameters);
CvDrawingUtils::draw3dAxis(TheInputImageCopy,TheMarkers[i],TheCameraParameters);
}
//DONE! Easy, right?
cout<<endl<<endl<<endl;
//show input with augmented information and the thresholded image
//cv::imshow("in",TheInputImageCopy);
//cv::imshow("thres",MDetector.getThresholdedImage());
//key=cv::waitKey(waitTime);//wait for key to be pressed
}
//.........这里部分代码省略.........
示例4: main
int main(int argc, char **argv) {
try {
if (readArguments(argc, argv) == false) {
return 0;
}
// parse arguments
// read from camera or from file
if (TheInputVideo.find("live") != string::npos) {
int vIdx = 0;
// check if the :idx is here
char cad[100];
if (TheInputVideo.find(":") != string::npos) {
std::replace(TheInputVideo.begin(), TheInputVideo.end(), ':', ' ');
sscanf(TheInputVideo.c_str(), "%s %d", cad, &vIdx);
}
cout << "Opening camera index " << vIdx << endl;
TheVideoCapturer.open(vIdx);
waitTime = 10;
} else
TheVideoCapturer.open(TheInputVideo);
// check video is open
if (!TheVideoCapturer.isOpened()) {
cerr << "Could not open video" << endl;
return -1;
}
bool isVideoFile = false;
if (TheInputVideo.find(".avi") != std::string::npos || TheInputVideo.find("live") != string::npos)
isVideoFile = true;
// read first image to get the dimensions
TheVideoCapturer >> TheInputImage;
// read camera parameters if passed
if (TheIntrinsicFile != "") {
TheCameraParameters.readFromXMLFile(TheIntrinsicFile);
TheCameraParameters.resize(TheInputImage.size());
}
// Configure other parameters
if (ThePyrDownLevel > 0)
MDetector.pyrDown(ThePyrDownLevel);
// Create gui
cv::namedWindow("thres", 1);
cv::namedWindow("in", 1);
MDetector.setThresholdParams(7, 7);
MDetector.setThresholdParamRange(2, 0);
// MDetector.enableLockedCornersMethod(true);
// MDetector.setCornerRefinementMethod ( MarkerDetector::SUBPIX );
MDetector.getThresholdParams(ThresParam1, ThresParam2);
iThresParam1 = ThresParam1;
iThresParam2 = ThresParam2;
//cv::createTrackbar("ThresParam1", "in", &iThresParam1, 25, cvTackBarEvents);
//cv::createTrackbar("ThresParam2", "in", &iThresParam2, 13, cvTackBarEvents);
char key = 0;
int index = 0;
// capture until press ESC or until the end of the video
TheVideoCapturer.retrieve(TheInputImage);
cv::Size sz = TheInputImage.size();
MDetector.createCudaBuffers(sz.width, sz.height);
do {
// copy image
index++; // number of images captured
double tick = (double)getTickCount(); // for checking the speed
// Detection of markers in the image passed
MDetector.detect(TheInputImage, TheMarkers, TheCameraParameters, TheMarkerSize);
// chekc the speed by calculating the mean speed of all iterations
AvrgTime.first += ((double)getTickCount() - tick) / getTickFrequency();
AvrgTime.second++;
cout << "\rTime detection=" << 1000 * AvrgTime.first / AvrgTime.second << " milliseconds nmarkers=" << TheMarkers.size() << std::flush;
// print marker info and draw the markers in image
TheInputImage.copyTo(TheInputImageCopy);
for (unsigned int i = 0; i < TheMarkers.size(); i++) {
cout << endl << TheMarkers[i];
TheMarkers[i].draw(TheInputImageCopy, Scalar(0, 0, 255), 1);
}
if (TheMarkers.size() != 0)
cout << endl;
// print other rectangles that contains no valid markers
/** for (unsigned int i=0;i<MDetector.getCandidates().size();i++) {
aruco::Marker m( MDetector.getCandidates()[i],999);
m.draw(TheInputImageCopy,cv::Scalar(255,0,0));
}*/
// draw a 3d cube in each marker if there is 3d info
if (TheCameraParameters.isValid())
for (unsigned int i = 0; i < TheMarkers.size(); i++) {
CvDrawingUtils::draw3dCube(TheInputImageCopy, TheMarkers[i], TheCameraParameters);
CvDrawingUtils::draw3dAxis(TheInputImageCopy, TheMarkers[i], TheCameraParameters);
//.........这里部分代码省略.........
示例5: main
int main(int argc,char **argv)
{
try
{
if (readArguments (argc,argv)==false) {
return 0;
}
//parse arguments
;
//read from camera or from file
if (TheInputVideo=="live") {
TheVideoCapturer.open(0);
waitTime=10;
}
else TheVideoCapturer.open(TheInputVideo);
//check video is open
if (!TheVideoCapturer.isOpened()) {
cerr<<"Could not open video"<<endl;
return -1;
}
//read first image to get the dimensions
TheVideoCapturer>>TheInputImage;
//read camera parameters if passed
if (TheIntrinsicFile!="") {
TheCameraParameters.readFromXMLFile(TheIntrinsicFile);
TheCameraParameters.resize(TheInputImage.size());
}
//Configure other parameters
if (ThePyrDownLevel>0)
MDetector.pyrDown(ThePyrDownLevel);
//Create gui
cv::namedWindow("thres",1);
cv::namedWindow("in",1);
MDetector.getThresholdParams( ThresParam1,ThresParam2);
MDetector.setCornerRefinementMethod(MarkerDetector::LINES);
iThresParam1=ThresParam1;
iThresParam2=ThresParam2;
cv::createTrackbar("ThresParam1", "in",&iThresParam1, 13, cvTackBarEvents);
cv::createTrackbar("ThresParam2", "in",&iThresParam2, 13, cvTackBarEvents);
char key=0;
int index=0;
//capture until press ESC or until the end of the video
while ( key!=27 && TheVideoCapturer.grab())
{
TheVideoCapturer.retrieve( TheInputImage);
//copy image
index++; //number of images captured
double tick = (double)getTickCount();//for checking the speed
//Detection of markers in the image passed
MDetector.detect(TheInputImage,TheMarkers,TheCameraParameters,TheMarkerSize);
//chekc the speed by calculating the mean speed of all iterations
AvrgTime.first+=((double)getTickCount()-tick)/getTickFrequency();
AvrgTime.second++;
cout<<"Time detection="<<1000*AvrgTime.first/AvrgTime.second<<" milliseconds"<<endl;
//print marker info and draw the markers in image
TheInputImage.copyTo(TheInputImageCopy);
for (unsigned int i=0;i<TheMarkers.size();i++) {
cout<<TheMarkers[i]<<endl;
TheMarkers[i].draw(TheInputImageCopy,Scalar(0,0,255),1);
}
//print other rectangles that contains no valid markers
/** for (unsigned int i=0;i<MDetector.getCandidates().size();i++) {
aruco::Marker m( MDetector.getCandidates()[i],999);
m.draw(TheInputImageCopy,cv::Scalar(255,0,0));
}*/
//draw a 3d cube in each marker if there is 3d info
if ( TheCameraParameters.isValid())
for (unsigned int i=0;i<TheMarkers.size();i++) {
CvDrawingUtils::draw3dCube(TheInputImageCopy,TheMarkers[i],TheCameraParameters);
CvDrawingUtils::draw3dAxis(TheInputImageCopy,TheMarkers[i],TheCameraParameters);
}
//DONE! Easy, right?
cout<<endl<<endl<<endl;
//show input with augmented information and the thresholded image
cv::imshow("in",TheInputImageCopy);
cv::imshow("thres",MDetector.getThresholdedImage());
key=cv::waitKey(waitTime);//wait for key to be pressed
}
} catch (std::exception &ex)
{
cout<<"Exception :"<<ex.what()<<endl;
}
}