void CaptureFrame(Mat & detectImg){
VideoCapture captureDevice;
captureDevice.open(0);
if (!captureDevice.isOpened()){
cout << "Camera not found!";
}
else{
char kbCmd = ' ';
captureDevice >> detectImg;
int w = detectImg.cols, h = detectImg.rows;
bool finish = false;
while (!finish){
captureDevice >> detectImg;
detectImg = detectImg(Rect(120, 40, 400, 400));
imshow("Capture", detectImg);
cvWaitKey(33);
if (_kbhit()) kbCmd = _getche();
if (kbCmd == 'c') break;
}
destroyAllWindows();
}
//VideoCapture captureDevice;
//captureDevice.open(0);
//if (!captureDevice.isOpened()){
// cout << "Camera not found!";
//}
//else{
// char kbCmd = ' ', name[30];
// captureDevice >> captureImage;
// int w = captureImage.cols, h = captureImage.rows;
// bool finish = false;
// while (!finish){
// setMouseCallback(window_name, onMouse, 0);
// captureDevice >> captureImage;
// finish = DisplayInfo(captureImage);
// if (_kbhit()) kbCmd = _getche();
// if (kbCmd == 'c') break;
// }
// destroyAllWindows();
//}
}
int main(int argc, char* argv[])
{
cout << "%%%% Road Detection Program %%%%" << endl;
//create main window
namedWindow(nameWindowMain,CV_WINDOW_AUTOSIZE);
//create start button (push button)
createButton(nameBtnStart,callbackBtnStart,NULL);
while(cvWaitKey(33) != 27)
{
}
//destroy the contents
destroyAllWindows();
return 0;
}
void MainWindow::encrypt()
{
isEncryption = true;
QString text = QInputDialog::getText(this, "Password",
"Please enter your password for encryption",
QLineEdit::Password, QString());
string pwd = string((const char *)text.toLocal8Bit());
MD5 md5(pwd);
key = md5.getDigest();
_dst = _src.clone();
zone = Mat::zeros(_src.size(), CV_8UC1);
setMouseCallback("Image", &mouseHandler, this);
imshow("Image", _dst);
waitKey(0);
destroyAllWindows();
}
void MainWindow::dropEvent(QDropEvent *event)
{
QList<QUrl> droppedUrls = event->mimeData()->urls();
QString localPath = droppedUrls[0].toLocalFile();
if (!localPath.endsWith(".png", Qt::CaseInsensitive) && !localPath.endsWith(".jpg", Qt::CaseInsensitive)) {
QMessageBox::critical(0, "Error", "Path: "+localPath+"\nThe filetype is not supported!!");
return;
}
filename = localPath.toAscii().data();
destroyAllWindows();
_src = imread(filename);
if (!_src.data) {
return;
}
namedWindow("Image", CV_WINDOW_AUTOSIZE);
imshow("Image", _src);
_dst.release();
ui->encryptBtn->setEnabled(true);
ui->decryptBtn->setEnabled(true);
event->acceptProposedAction();
}
bool BallClasificationModule::run()
{
// this->dominantcolor();
n_size = 0;
n_ecc = 0;
n_color = 0;
n_grassctx = 0;
n_ball = 0;
destroyAllWindows();
if(!m_data->blobs.empty()) {
Blob *blob;
int i = 0;
int cont = 0;
std::vector<Blob>::iterator iter = m_data->blobs.begin();
while(iter != m_data->blobs.end()) {
blob = &*iter;
if( coarse2fine(blob,cont) ) {
blob->id = i++;
iter++;
} else {
if(m_delInForeground)
deleteBlobFromForeground(blob);
iter = m_data->blobs.erase(iter);
}
cont++;
}
}
else
AppendToLog("NO HAY PELOTA");
AppendToLog("Size: " + QString::number(n_size));
AppendToLog("Ecc : " + QString::number(n_ecc));
AppendToLog("Col : " + QString::number(n_color));
AppendToLog("Ball: " + QString::number(n_ball));
return true;
}
int vehicle_det::do_iteration()
{
//cout<<__PRETTY_FUNCTION__<<endl;
cv::Mat img_input, src;
cap >> src;
if(!src.data)
{
printf("Exiting\n");
return -1;
}
Mat img_display = src.clone();
draw_ROI_poly(img_display);
src.copyTo(img_input, mask);
img_input = Mat(img_input, main_roi);
IplImage temp = img_input;
IplImage * frame = &temp;
//getting the polygon
// bgs->process(...) internally process and show the foreground mask image
cv::Mat img_mask;
//bgs->process(img_input, img_mask);
get_foreground(img_input, img_mask);
blur(img_mask, img_mask, Size(4, 4));
img_mask = img_mask > 10;
/*morphologyEx(img_mask, img_mask, MORPH_CLOSE, Mat(25, 2, CV_8U));
morphologyEx(img_mask, img_mask, MORPH_OPEN, Mat(10, 10, CV_8U));*/
morphologyEx(img_mask, img_mask, MORPH_CLOSE, Mat(2, 2, CV_8U));
//morphologyEx(img_mask, img_mask, MORPH_OPEN, Mat(10, 10, CV_8U));
//morphologyEx(img_mask, img_mask, MORPH_GRADIENT , Mat(5,5, CV_8U));
//bgs->operator()(img_input,img_mask,0.2);
//erode(img_mask, img_mask, Mat());
//dilate(img_mask, img_mask, Mat());
//imshow("fore", img_mask);
if(!img_mask.empty())
{
//vector<Rect> rois;// to be added all the ROIs
IplImage copy = img_mask;
IplImage * new_mask = ©
IplImage * labelImg = cvCreateImage(cvGetSize(new_mask), IPL_DEPTH_LABEL, 1);
CvBlobs blobs, filtered_blobs;
unsigned int result = cvb::cvLabel(new_mask, labelImg, blobs);
cvFilterByArea(blobs, 40, 2000);
int count = 0;
for(CvBlobs::const_iterator it = blobs.begin(); it != blobs.end(); ++it)
{
count++;
// cout << "Blob #" << it->second->label << ": Area=" << it->second->area << ", Centroid=(" << it->second->centroid.x << ", " << it->second->centroid.y << ")" << endl;
int x, y;
x = (int)it->second->centroid.x;
y = (int)it->second->centroid.y;
//cv::Point2f p(x,y );
// circle(img_input, p, (int)10, cv::Scalar(255, 0 , 0), 2, 8, 0);
int x_final = 0;
int y_final = 0;
if(x - (width_roi / 2) <= 0)
{
x_final = 1;
}
else if(x + (width_roi / 2) >= img_input.cols)
{
x_final = (x - (width_roi / 2)) - (x + (width_roi / 2) - (img_input.cols - 1));
}
else
{
x_final = x - (width_roi / 2);
}
if(y - (height_roi / 2) <= 0)
{
y_final = 1;
}
else if(y + (height_roi / 2) >= img_input.rows)
{
y_final = (y - (height_roi / 2)) - (y + (height_roi / 2) - (img_input.rows - 1));
}
else
{
y_final = y - (height_roi / 2);
}
//printf("resized x_final=%d y_final=%d cols=%d, rows=%d \n", x_final,y_final,img_input.cols,img_input.rows);
Rect roi(x_final, y_final, width_roi, height_roi);
//rois.push_back(roi);//adding ROIs using rectangles
// Mat image = imread("");
Mat image_roi = Mat(img_input, roi);
int vehicle_ct = detect(image_roi); //getting the vehicle count per ROI
if(vehicle_ct > 0)
{
filtered_blobs[it->first] = it->second;
int matched = 0;
int c1 = 255, c2 = 0;
if(matched)
{
c1 = 0;
c2 = 255;
}
else
{
//print something to debug
}//changing the colour of the rectanged depending on matched or not matched
rectangle(img_display,
Point(min_x + x - 5, min_y + y - 5),
Point(min_x + x + 5, min_y + y + 5),
CV_RGB(c1, c2, 0), 2, 8, 0);
/*rectangle(img_input,
Point(x - 5, y - 5),
Point(x + 5, y + 5),
CV_RGB(c1, c2, 0), 2, 8, 0);*/
}
}
//cvUpdateTracks(filtered_blobs, tracks, 5., 10);
cvUpdateTracks(filtered_blobs, tracks, 10., 5);
cvRenderBlobs(labelImg, filtered_blobs, frame, frame, CV_BLOB_RENDER_CENTROID | CV_BLOB_RENDER_BOUNDING_BOX);
//cvRenderTracks(tracks, frame, frame, CV_TRACK_RENDER_ID|CV_TRACK_RENDER_BOUNDING_BOX|CV_TRACK_RENDER_TO_LOG);
cvRenderTracks(tracks, frame, frame, CV_TRACK_RENDER_ID);
printf("num of active tracks %d\n", tracks.size());
process_equation(tracks.size());//number of people given as input
if(abstract_det::Total_Score<0){
destroyAllWindows();
}
}
if(!img_display.empty())
{
cv::imshow("vehicle_view", img_display);
}
waitKey(30);
return 1;
}
void Environement::cleanF(){
destroyAllWindows();
}
/// Calculates the corner pixel locations as detected by each camera
/// In: s: board settings, includes size, square size and the number of corners
/// inputCapture1: video capture for camera 1
/// inputCapture2: video capture for camera 2
/// iterations: number of chessboard images to take
/// Out: imagePoints1: pixel coordinates of chessboard corners for camera 1
/// imagePoints2: pixel coordinates of chessboard corners for camera 2
bool RetrieveChessboardCorners(vector<vector<Point2f> >& imagePoints1, vector<vector<Point2f> >& imagePoints2, BoardSettings s, VideoCapture inputCapture1,VideoCapture inputCapture2, int iterations)
{
destroyAllWindows();
Mat image1,image2;
vector<Point2f> pointBuffer1;
vector<Point2f> pointBuffer2;
clock_t prevTimeStamp = 0;
bool found1,found2;
int count = 0;
while (count != iterations){
char c = waitKey(15);
if (c == 's'){
cerr << "Calibration stopped" << endl;
return false;
}
// try find chessboard corners
else if(c == 'c'){
// ADAPTIVE_THRESH -> use adaptive thresholding to convert image to B&W
// FAST_CHECK -> Terminates call earlier if no chessboard in image
// NORMALIZE_IMAGE -> normalize image gamma before thresholding
// FILTER_QUADS -> uses additional criteria to filter out false quads
found1 = findChessboardCorners(image1, s.boardSize, pointBuffer1,
CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_FAST_CHECK |
CV_CALIB_CB_NORMALIZE_IMAGE | CV_CALIB_CB_FILTER_QUADS);
found2 = findChessboardCorners(image2, s.boardSize, pointBuffer2,
CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_FAST_CHECK |
CV_CALIB_CB_NORMALIZE_IMAGE | CV_CALIB_CB_FILTER_QUADS);
if (found1 && found2 && (pointBuffer1.size() >= s.cornerNum) && (pointBuffer2.size() >= s.cornerNum)){
// if time delay passed refine accuracy and store
if ((clock() - prevTimeStamp) > CAPTURE_DELAY * 1e-3*CLOCKS_PER_SEC){
Mat imageGray1, imageGray2;
cvtColor(image1, imageGray1, COLOR_BGR2GRAY);
cvtColor(image2, imageGray2, COLOR_BGR2GRAY);
// refines corner locations
// Size(11,11) -> size of the search window
// Size(-1,-1) -> indicates no dead zone in search size
// TermCriteria -> max 1000 iteration, to get acuraccy of 0.01
cornerSubPix(imageGray1, pointBuffer1, Size(5,5), Size(-1, -1),
TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 1000, 0.01));
cornerSubPix(imageGray2, pointBuffer2, Size(5,5), Size(-1, -1),
TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 1000, 0.01));
drawChessboardCorners(image1, s.boardSize, Mat(pointBuffer1), found1);
imshow("Image View1", image1);
drawChessboardCorners(image2, s.boardSize, Mat(pointBuffer2), found2);
imshow("Image View2", image2);
// user verifies the correct corners have been found
c = waitKey(0);
if (c == 's'){
return false;
}
if (c == 'y'){
// store the points and store time stamp
imagePoints1.push_back(pointBuffer1);
imagePoints2.push_back(pointBuffer2);
prevTimeStamp = clock();
count++;
cerr << "Count: " << count << endl;
}
}
}
}
inputCapture1.read(image1);
inputCapture2.read(image2);
imshow("Image View1", image1);
imshow("Image View2", image2);
}
// found all corners
return true;
}
int main( int argc, char **argv )
{
// %Tag(INIT)%
ros::init(argc, argv, "visiontracker");
// %EndTag(INIT)%
// %Tag(NODEHANDLE)%
ros::NodeHandle n;
// %EndTag(NODEHANDLE)%
// %Tag(PUBLISHER)%
ros::Publisher chatter_pub = n.advertise<ros_umirtx_vision::VisPMsg>("visionposition", 1000);
// %EndTag(PUBLISHER)%
int c = 0 ;
VideoCapture cap(c); // open the default camera
Mat frame, frameCopy, image;
Mat rgbimg[3], tempimg, prodimg;
Mat imgThresholded, imgHSV;
Mat imgResult;
int minmaxhsv[3][2] = {{100,140},{85,254},{128,264}};
int status = 1;
int iLastXY[2] = {-1,-1};
double dArea = 0;
int frameHeight = 480, frameWidth = 640;
double xpos = 0.5;
double ypos = 0.5;
ros_umirtx_vision::VisPMsg msg;
if(!cap.isOpened()) {
cout << "Capture from CAM " << c << " didn't work" << endl;
return -1;
}
createControlWindow("Control", minmaxhsv, &status);
try{
if(cap.isOpened())
{
cap >> frame;
if( frame.empty() )
exit(0);
//frame.copyTo( frameCopy );
flip( frame, frameCopy, -1 );
Mat imgLines = Mat::zeros( frameCopy.size(), CV_8UC3 );
Mat imgResult= Mat::zeros( frameCopy.size(), CV_8UC3 );
frameHeight = frame.rows;
frameWidth = frame.cols;
cout << "In capture ..." << endl;
while((status>0) and (ros::ok()))
{
try{
cap >> frame;
if( frame.empty() )
break;
//frame.copyTo( frameCopy );
flip( frame, frameCopy, -1 );
//std::cout << "H:" << frameCopy.rows << " W:" << frameCopy.cols << std::endl;
//imshow("Original",frame);
}
catch(int e)
{
cout << "Something went wrong while getting camera frame" << endl;
}
try{
selectRedObj(frameCopy, imgHSV, imgThresholded, minmaxhsv);
getCenterOfObj(imgThresholded, imgLines, iLastXY, &dArea);
msg.x = 100*((double)iLastXY[0])/frameWidth;
msg.y = 100*(double)iLastXY[1]/frameHeight;
msg.area = 100*dArea/frameWidth/frameHeight;
chatter_pub.publish(msg);
cvtColor(imgThresholded,imgThresholded, CV_GRAY2RGB);
addWeighted( frameCopy, 1, imgThresholded, 0.4, 0.0, imgResult);
circle(imgResult,Point(iLastXY[0],iLastXY[1]),5,Scalar( 0, 0, 255 ),-1);
imgResult = imgResult + imgLines;
imshow("Result",imgResult);
//if(save>0)
// imwrite("/home/xavier/Pictures/saves/redobjdet-05.jpg",imgResult);
}
catch(int e){
cout << "Something went wrong while processing image" << endl;
}
//save = 0;
int key = waitKey( 10 );
if( key > 0)
{
key &= 255;
cout << "Button pressed: " << key << endl;
if( key == ' ' )
{
waitKey( 10 );
key = 0;
while( key != ' ')
{
ros::spinOnce();
key = waitKey( 20 );
if(key>=0)
key &= 255;
}
}
else if(key == 'c')
{
//ros::spinOnce();
break;
}
//else if(key == 's')
// save = 1;
}
ros::spinOnce();
}
//waitKey(0);
}
}
catch(int e){
cout << "Error occured!" << endl;
}
destroyAllWindows();
return 0;
}
void BinarizationViewer::showBinarizedImgs() {
Mat srcBGRImg, srcHSVImg, srcYCrCbImg;
Mat bgrChannelImgs[3], hsvChannelImgs[3], ycrcbChannelImgs[3];
vector<string> channelNames = {};
int trackbarInitValue = 128;
namedWindow("Blue", CV_WINDOW_AUTOSIZE);
namedWindow("Green", CV_WINDOW_AUTOSIZE);
namedWindow("Red", CV_WINDOW_AUTOSIZE);
namedWindow("Hue", CV_WINDOW_AUTOSIZE);
namedWindow("Saturation", CV_WINDOW_AUTOSIZE);
namedWindow("Value", CV_WINDOW_AUTOSIZE);
namedWindow("Y", CV_WINDOW_AUTOSIZE);
namedWindow("Cr", CV_WINDOW_AUTOSIZE);
namedWindow("Cb", CV_WINDOW_AUTOSIZE);
cvCreateTrackbar("B_Threshold", "Blue", &trackbarInitValue, 255, onBlueTrackbar);
cvCreateTrackbar("G_Threshold", "Green", &trackbarInitValue, 255, onGreenTrackbar);
cvCreateTrackbar("R_Threshold", "Red", &trackbarInitValue, 255, onRedTrackbar);
cvCreateTrackbar("H_Threshold", "Hue", &trackbarInitValue, 255, onHueTrackbar);
cvCreateTrackbar("S_Threshold", "Saturation", &trackbarInitValue, 255, onSaturationTrackbar);
cvCreateTrackbar("V_Threshold", "Value", &trackbarInitValue, 255, onValueTrackbar);
cvCreateTrackbar("Y_Threshold", "Y", &trackbarInitValue, 255, onYTrackbar);
cvCreateTrackbar("Cr_Threshold", "Cr", &trackbarInitValue, 255, onCrTrackbar);
cvCreateTrackbar("Cb_Threshold", "Cb", &trackbarInitValue, 255, onCbTrackbar);
cvSetTrackbarPos("B_Threshold", "Blue", 128);
cvSetTrackbarPos("G_Threshold", "Green", 128);
cvSetTrackbarPos("R_Threshold", "Red", 128);
cvSetTrackbarPos("H_Threshold", "Hue", 128);
cvSetTrackbarPos("S_Threshold", "Saturation", 128);
cvSetTrackbarPos("V_Threshold", "Value", 128);
cvSetTrackbarPos("Y_Threshold", "Y", 128);
cvSetTrackbarPos("Cr_Threshold", "Cr", 128);
cvSetTrackbarPos("Cb_Threshold", "Cb", 128);
_isShowing = true;
while(_isShowing) {
srcBGRImg = _cameraManager.getFrame();
cvtColor(srcBGRImg, srcHSVImg, CV_BGR2HSV);
cvtColor(srcBGRImg, srcYCrCbImg, CV_BGR2YCrCb);
split(srcBGRImg, bgrChannelImgs);
split(srcHSVImg, hsvChannelImgs);
split(srcYCrCbImg, ycrcbChannelImgs);
threshold(bgrChannelImgs[0], bgrChannelImgs[0], binarizationViewerBlueThreshold, 255, CV_THRESH_BINARY);
threshold(bgrChannelImgs[1], bgrChannelImgs[1], binarizationViewerGgreenThreshold, 255, CV_THRESH_BINARY);
threshold(bgrChannelImgs[2], bgrChannelImgs[2], binarizationViewerRedThreshold, 255, CV_THRESH_BINARY);
threshold(hsvChannelImgs[0], hsvChannelImgs[0], binarizationViewerHueThreshold, 255, CV_THRESH_BINARY);
threshold(hsvChannelImgs[1], hsvChannelImgs[1], binarizationViewerSaturationThreshold, 255, CV_THRESH_BINARY);
threshold(hsvChannelImgs[2], hsvChannelImgs[2], binarizationViewerValueThreshold, 255, CV_THRESH_BINARY);
threshold(ycrcbChannelImgs[0], ycrcbChannelImgs[0], binarizationViewerYThreshold, 255, CV_THRESH_BINARY);
threshold(ycrcbChannelImgs[1], ycrcbChannelImgs[1], binarizationViewerCrThreshold, 255, CV_THRESH_BINARY);
threshold(ycrcbChannelImgs[2], ycrcbChannelImgs[2], binarizationViewerCbThreshold, 255, CV_THRESH_BINARY);
imshow("src", srcBGRImg);
imshow("Blue", bgrChannelImgs[0]);
imshow("Green", bgrChannelImgs[1]);
imshow("Red", bgrChannelImgs[2]);
imshow("Hue", hsvChannelImgs[0]);
imshow("Saturation", hsvChannelImgs[1]);
imshow("Value", hsvChannelImgs[2]);
imshow("Y", ycrcbChannelImgs[0]);
imshow("Cr", ycrcbChannelImgs[1]);
imshow("Cb", ycrcbChannelImgs[2]);
int key = waitKey(1);
if(key == 27) break;
}
destroyAllWindows();
}
void MultipleProcess::run()
{
int FLAGS = CV_GUI_NORMAL | CV_WINDOW_AUTOSIZE;
if (_input.size() != _process.size())
return;
if (_showOutput)
{
for (size_t i = 0; i < _input.size(); i++)
{
namedWindow(_windowName + to_string(i), FLAGS);
}
}
if (matching)
namedWindow(_matchinName, FLAGS);
vector<Ptr<ProcessListenerWrapper>> wrappers;
if (_mListener && _process.size())
{
for (size_t i = 0; i < _process.size(); i++)
{
Ptr<ProcessListenerWrapper> w = new ProcessListenerWrapper(i, _process[i], this);
wrappers.push_back(w);
cv::setMouseCallback(_windowName + to_string(i), MultipleProcess::mouseCallback, wrappers[i]);
}
}
if (_mListener && matching)
cv::setMouseCallback(_matchinName, Processor::mouseCallback, matching);
if (!_input.size() && !_process.size())
return;
vector<long> frameN;
Mat freezeFrame;
bool freezed = true;
bool running = true;
int key = Keys::NONE;
// initialize the freezeFrame
bool allSequencesReady = true;
vector<Mat> freezedFrames;
vector<bool> hasFrame;
for (size_t i = 0; i < _input.size(); i++)
{
Mat tmp;
bool _retrieved = _input[i]->getFrame(tmp, _startFrame);
allSequencesReady = allSequencesReady && _retrieved;
freezedFrames.push_back(tmp);
hasFrame.push_back(_retrieved);
long frame = 0;
frame += _startFrame;
frameN.push_back(frame);
}
while (running && allSequencesReady)
{
vector<Mat> frame(_input.size()), frameOut(_input.size());
if (!freezed || key == Keys::n)
{
for( size_t i = 0; i < _input.size(); i++)
{
hasFrame[i] = _input[i]->getFrame(frame[i], 1);
freezedFrames[i] = frame[i];
frameN[i]++;
}
}
else if (!freezed || key == Keys::p)
{
for( size_t i = 0; i < _input.size(); i++)
{
if (frameN[i] > 0)
{
hasFrame[i] = _input[i]->getFrame(frame[i], -1);
freezedFrames[i] = frame[i];
frameN[i]--;
}
}
}
else
{
for( size_t i = 0; i < _input.size(); i++)
{
frame[i] = freezedFrames[i];
}
}
bool allSequencesFinished = false;
for (size_t i = 0; i < _input.size(); i++)
{
allSequencesFinished = allSequencesFinished || hasFrame[i];
}
if (allSequencesFinished)
{
for (size_t i = 0; i < _input.size(); i++)
{
if (_process.size())
_process[i]->operator()(frameN[i], frame[i], frameOut[i]);
if (_showOutput && !frameOut[i].empty())
cv::imshow(_windowName + to_string(i), frameOut[i]);
if (_output.size())
_output[i]->writeFrame(frameOut[i]);
}
if (matching)
{
Mat tmp, moutput;
matching->operator()(0, tmp, moutput);
cv::imshow(_matchinName, moutput);
}
key = Keys::NONE;
try
{
key = waitKey(1);
}
catch (...)
{
//...
}
if (key == Keys::ESC)
{
running = false;
}
if (key == Keys::SPACE || _pause)
{
_pause = false;
for (size_t i = 0; i < _input.size(); i++)
{
freezedFrames[i] = frame[i];
}
freezed = !freezed;
}
if (_kListener && _process.size() && key != Keys::NONE)
{
for (size_t i = 0; i < _input.size(); i++)
{
if (_activeWindow == i)
_process[i]->keyboardInput(key);
}
}
}
else
{
break;
}
}
destroyAllWindows();
}
int _tmain(int argc, _TCHAR* argv[])
{
if (InitEngine() < 0)
{
cout << "init failed" << endl;
return -1;
}
string image_path = "..\\image\\download_image\\test";
vector<string> image_list;
get_image_list(image_path, image_list);
int lv_cnt[5] = {0}, fail_cnt = 0;
int lv_correct_cnt[5] = {0};
double totalTime = 0;
for (vector<string>::iterator it = image_list.begin(); it != image_list.end(); ++it)
{
string img_file = image_path + "\\" + *it;
Mat img = imread(img_file, 4);
if (img.data == NULL)
{
DeleteFile(img_file.c_str());
continue;
}
double t = (double)getTickCount();
char code[4] = {0};
float conf[4] = {0};
int ret = RecognizeCode((char*)(img_file.c_str()), code, conf);
t = (double)getTickCount() - t;
totalTime += t;
if (ret >= 0)
{
cout << "[" << ret << "]" << "\t" << *it << endl;
cout << "\t" << code[0] << code[1] << code[2] << code[3];
cout << "\t" << "[" << conf[0] << " " << conf[1] << " " << conf[2] << " " << conf[3] << "]" << endl;
char str[5];
str[0] = code[0];str[1] = code[1];str[2] = code[2];str[3] = code[3];str[4]='\0';
if (it->substr(6, 4) == string(str))
lv_correct_cnt[ret]++;
else
{
//imshow("code", img);
//waitKey(0);
//destroyAllWindows();
}
lv_cnt[ret]++;
}
else
{
cout << *it << " ";
cout << "[" << ret << "]" << "\t" << "pass." << endl;
//MoveFile(img_file.c_str(), (image_path + "\\@\\" + *it).c_str());
fail_cnt++;
}
imshow("code", img);
waitKey(0);
destroyAllWindows();
}
cout << "FAIL: " << fail_cnt << endl;
int total_cnt = 0, correct_cnt = 0;
for (int i = 0; i < 5; i++)
{
total_cnt += lv_cnt[i];
correct_cnt += lv_correct_cnt[i];
cout << "Lv[" << i << "]: " << lv_correct_cnt[i] << "/" << lv_cnt[i] << " = " << lv_correct_cnt[i]/(float)lv_cnt[i] << endl;
}
total_cnt += fail_cnt;
cout << "TOTAL: " << correct_cnt << "/" << total_cnt << " = " << correct_cnt/(float)total_cnt << endl;
cout << "Time : " << totalTime/(double)getTickFrequency()*1000. << "/" << total_cnt << " " <<
totalTime/(double)getTickFrequency()*1000./total_cnt << endl;
if (ReleaseEngine() < 0)
cout << "release failed" << endl;
return 0;
}
//Thread d'initialisation
void *drawingAndParam(void * arg)
{
string winParametrage = "Thresholded";
string winDetected = "Parametrages";
char key;
drawing = false;
onDrawing = true;
pthread_mutex_init(&mutexVideo, NULL);
#if output_video == ov_remote_ffmpeg
int errorcode = avformat_open_input(&pFormatCtx, "tcp://192.168.1.1:5555", NULL, NULL);
if (errorcode < 0) {
cout << "ERREUR CAMERA DRONE!!!" << errorcode;
return 0;
}
avformat_find_stream_info(pFormatCtx, NULL);
av_dump_format(pFormatCtx, 0, "tcp://192.168.1.1:5555", 0);
pCodecCtx = pFormatCtx->streams[0]->codec;
AVCodec *pCodec = avcodec_find_decoder(pCodecCtx->codec_id);
if (pCodec == NULL) {
cout << "ERREUR avcodec_find_decoder!!!";
return 0;
}
if (avcodec_open2(pCodecCtx, pCodec, NULL) < 0) {
cout << "ERREUR avcodec_open2!!!";
return 0;
}
//pFrame = av_frame_alloc();
//pFrameBGR = av_frame_alloc();
pFrame = avcodec_alloc_frame();
pFrameBGR = avcodec_alloc_frame();
bufferBGR = (uint8_t*)av_mallocz(avpicture_get_size(PIX_FMT_BGR24, pCodecCtx->width, pCodecCtx->height) * sizeof(uint8_t));
avpicture_fill((AVPicture*)pFrameBGR, bufferBGR, PIX_FMT_BGR24, pCodecCtx->width, pCodecCtx->height);
pConvertCtx = sws_getContext(pCodecCtx->width, pCodecCtx->height, pCodecCtx->pix_fmt, pCodecCtx->width, pCodecCtx->height, PIX_FMT_BGR24, SWS_SPLINE, NULL, NULL, NULL);
img = cvCreateImage(cvSize(pCodecCtx->width, (pCodecCtx->height == 368) ? 360 : pCodecCtx->height), IPL_DEPTH_8U, 3);
if (!img) {
cout << "ERREUR PAS D'IMAGE!!!";
return 0;
}
pthread_t ii;
pthread_create(&ii, NULL, getimg, NULL);
#else
VideoCapture cap(0); //capture video webcam
#endif
HH=179;LS=1;HS=255;LV=1;HV=255;LH=1;
namedWindow(winDetected, CV_WINDOW_NORMAL);
Mat frame;
setMouseCallback(winDetected, MouseCallBack, NULL);
while(true)
{
if(onDrawing) //Tant que l'utilisateur ne commence pas la sélection!
{
#if output_video != ov_remote_ffmpeg
bool bSuccess = cap.read(frame); // Nouvelle capture
if (!bSuccess) {
cout << "Impossible de lire le flux video" << endl;
break;
}
#else
pthread_mutex_lock(&mutexVideo);
memcpy(img->imageData, pFrameBGR->data[0], pCodecCtx->width * ((pCodecCtx->height == 368) ? 360 : pCodecCtx->height) * sizeof(uint8_t) * 3);
pthread_mutex_unlock(&mutexVideo);
frame = cv::cvarrToMat(img, true);
#endif
imshow(winDetected, frame);
}
if(!onDrawing && !drawing) //On affiche en direct la sélection de l'utilisateur
{
Mat tmpFrame=frame.clone();
rectangle(tmpFrame, rec, CV_RGB(51,156,204),1,8,0);
imshow(winDetected, tmpFrame);
}
if(drawing) //L'utilisateur a fini de sélectionner
{
//cible Ball(1);
namedWindow(winParametrage, CV_WINDOW_NORMAL);
setMouseCallback(winDetected, NULL, NULL);
rectangle(frame, rec, CV_RGB(51,156,204),2,8,0);
imshow(winDetected, frame);
Mat selection = frame(rec);
Ball.setPicture(selection);
while(key != 'q')
{
//Trackbar pour choix de la couleur
createTrackbar("LowH", winParametrage, &LH, 179); //Hue (0 - 179)
createTrackbar("HighH", winParametrage, &HH, 179);
//Trackbar pour Saturation comparer au blanc
createTrackbar("LowS", winParametrage, &LS, 255); //Saturation (0 - 255)
createTrackbar("HighS", winParametrage, &HS, 255);
//Trackbar pour la lumminosite comparer au noir
createTrackbar("LowV", winParametrage, &LV, 255);//Value (0 - 255)
createTrackbar("HighV", winParametrage, &HV, 255);
Mat imgHSV;
cvtColor(selection, imgHSV, COLOR_BGR2HSV); //Passe de BGR a HSV
Mat imgDetection;
inRange(imgHSV, Scalar(LH, LS, LV), Scalar(HH, HS, HV), imgDetection); //Met en noir les parties non comprises dans l'intervalle de la couleur choisie par l'utilisateur
//Retire les bruits
erode(imgDetection, imgDetection, getStructuringElement(MORPH_ELLIPSE, Size(5, 5)));
dilate(imgDetection, imgDetection, getStructuringElement(MORPH_ELLIPSE, Size(5, 5)));
dilate(imgDetection, imgDetection, getStructuringElement(MORPH_ELLIPSE, Size(5, 5)));
erode(imgDetection, imgDetection, getStructuringElement(MORPH_ELLIPSE, Size(5, 5)));
imshow(winParametrage, imgDetection);
//Calcul de la "distance" à la cible. On s'en sert comme seuil.
Moments position;
position = moments(imgDetection);
Ball.lastdZone = position.m00;
key = waitKey(10);
}
//Extraction des points d'intérêts de la sélection de l'utilisateur
Mat graySelect;
int minHessian = 800;
cvtColor(selection, graySelect, COLOR_BGR2GRAY);
Ptr<SURF> detector = SURF::create(minHessian);
vector<KeyPoint> KP;
detector->detect(graySelect, KP);
Mat KPimg;
drawKeypoints(graySelect, KP, KPimg, Scalar::all(-1), DrawMatchesFlags::DEFAULT);
Mat desc;
Ptr<SURF> extractor = SURF::create();
extractor->compute(graySelect, KP, desc);
Ball.setimgGray(graySelect);
Ball.setKP(KP);
Ball.setDesc(desc);
break;
}
key = waitKey(10);
}
//Fin de l'initiatlisation on ferme toutes les fenêtres et on passe au tracking
destroyAllWindows();
#if output_video != ov_remote_ffmpeg
cap.release();
#endif
}
int process(VideoCapture& capture) {
long captureTime;
cout << "Press q or escape to quit!" << endl;
CvFont infoFont;
cvInitFont(&infoFont, CV_FONT_HERSHEY_SIMPLEX, 1, 1);
namedWindow(VIDEO_WINDOW_NAME, CV_WINDOW_AUTOSIZE);
namedWindow(ERODE_PREVIEW_WIN_NAME, CV_WINDOW_NORMAL);
resizeWindow(ERODE_PREVIEW_WIN_NAME, 320, 240);
ControlsWindow* controlsWindow = new ControlsWindow();
if(fileExists(preferenceFileName)) {
loadSettings(controlsWindow, (char*)preferenceFileName);
}
Mat frame;
while (true) {
capture >> frame;
captureTime = (int)(getTickCount()/getTickFrequency())*1000;
if (frame.empty())
break;
int target_width = 320;
int height = (target_width/capture.get(3 /*width*/)) * capture.get(4 /*height*/);
resize(frame, frame, Size(target_width, height));
if (controlsWindow->getBlurDeviation() > 0) {
GaussianBlur(frame, frame, Size(GAUSSIAN_KERNEL, GAUSSIAN_KERNEL), controlsWindow->getBlurDeviation());
}
//Apply brightness and contrast
frame.convertTo(frame, -1, controlsWindow->getContrast(), controlsWindow->getBrightness());
Mat maskedImage = thresholdImage(controlsWindow, frame);
Mat erodedImage = erodeDilate(maskedImage, controlsWindow);
Mat erodedImageBinary;
cvtColor(erodedImage, erodedImageBinary, COLOR_BGR2GRAY);
threshold(erodedImageBinary, erodedImageBinary, 0, 255, CV_THRESH_BINARY);
if(controlsWindow->getInvert()) {
erodedImageBinary = 255 - erodedImageBinary;
}
cv::SimpleBlobDetector::Params params;
params.minDistBetweenBlobs = 50.0f;
params.filterByInertia = false;
params.filterByConvexity = false;
params.filterByColor = true;
params.filterByCircularity = false;
params.filterByArea = true;
params.minArea = 1000.0f;
params.maxArea = 100000.0f;
params.blobColor = 255;
vector<KeyPoint> centers;
vector<vector<Point>> contours;
ModBlobDetector* blobDetector = new ModBlobDetector(params);
vector<vector<Point>> contourHulls;
vector<RotatedRect> contourRects;
blobDetector->findBlobs(erodedImageBinary, erodedImageBinary, centers, contours);
for(vector<Point> ctpts : contours) {
vector<Point> hull;
convexHull(ctpts, hull);
contourHulls.push_back(hull);
contourRects.push_back(minAreaRect(hull));
}
#ifdef DEBUG_BLOBS
drawContours(frame, contours, -1, Scalar(128,255,128), 2, CV_AA);
drawContours(frame, contourHulls, -1, Scalar(255, 128,0), 2, CV_AA);
int ptnum;
for(KeyPoint pt : centers) {
Scalar color(255, 0, 255);
circle(frame, pt.pt, 5
, color, -1 /*filled*/, CV_AA);
circle(frame, pt.pt, pt.size, color, 1, CV_AA);
ptnum++;
}
#endif
for(RotatedRect rr : contourRects) {
Point2f points[4];
rr.points(points);
float side1 = distance(points[0], points[1]);
float side2 = distance(points[1], points[2]);
float shortestSide = min(side1, side2);
float longestSide = max(side1, side2);
float aspectRatio = longestSide/shortestSide;
int b = 0;
bool isTape = objInfo.aspectRatio == 0 ? false :
abs(objInfo.aspectRatio - aspectRatio) < 0.2*objInfo.aspectRatio;
/*
* TODO
* Make a list of possible tape candidates
* Use tape candidate with smallest difference in ratio to the real ratio as the tape
*/
if(isTape) {
b = 255;
string widthText = "Width (px): ";
widthText.append(toString(longestSide));
string heightText = "Height (px): ";
heightText.append(toString(shortestSide));
string rotText = "Rotation (deg): ";
rotText.append(toString(abs((int)rr.angle)));
string distText;
if(camSettings.focalLength == -1) {
distText = "Focal length not defined";
} else {
float dist = objInfo.width * camSettings.focalLength / longestSide;
distText = "Distance (cm): ";
distText.append(toString(dist));
}
putText(frame, widthText, Point(0, 20), CV_FONT_HERSHEY_SIMPLEX, 0.5f, Scalar(0, 255, 255));
putText(frame, heightText, Point(0, 40), CV_FONT_HERSHEY_SIMPLEX, 0.5f, Scalar(0, 255, 255));
putText(frame, rotText, Point(0, 60), CV_FONT_HERSHEY_SIMPLEX, 0.5f, Scalar(0, 255, 255));
putText(frame, distText, Point(0, 80), CV_FONT_HERSHEY_SIMPLEX, 0.5f, Scalar(0, 255, 255));
}
rotated_rect(frame, rr, Scalar(b, 0, 255));
if(isTape)break;
}
if(objInfo.aspectRatio == 0) {
putText(frame, "Invalid object info (object.xml)", Point(0, 20), CV_FONT_HERSHEY_SIMPLEX, 0.5f, Scalar(0, 255, 255));
}
delete blobDetector;
imshow(ERODE_PREVIEW_WIN_NAME, erodedImageBinary);
imshow(VIDEO_WINDOW_NAME, frame);
//int waitTime = max((int)(((1.0/framerate)*1000)
// - ((int)(getTickCount()/getTickFrequency())*1000 - captureTime))
// , 1);
char key = (char)waitKey(1);
switch (key) {
case 'q':
case 'Q':
case 27: //escape
saveSettings(controlsWindow, (char*)preferenceFileName);
return 0;
default:
break;
}
std::this_thread::yield();
}
saveSettings(controlsWindow, (char*)preferenceFileName);
delete(controlsWindow);
destroyAllWindows();
return 0;
}
void AerialCameraStitch::stitchCameraImages(){
cv::Stitcher imgstitcher = Stitcher::createDefault(true);
vector< Mat > tmp_uav_cam_img;
Mat out_stitch_img;
Mat tmp_img1;
Mat tmp_img2;
Mat tmp_img3;
Mat tmp_img1_;
Mat tmp_img2_;
Mat tmp_img3_;
opt_pose = false;
ROS_INFO_STREAM("STITCHING STARTED");
try{
destroyAllWindows();
tmp_img1 = uav1_cam_img;
tmp_img2 = uav2_cam_img;
tmp_img3 = uav3_cam_img;
cv::resize(tmp_img1, tmp_img1_, cv::Size2i(tmp_img1.cols/2, tmp_img1.rows/2));
cv::resize(tmp_img2, tmp_img2_, cv::Size2i(tmp_img2.cols/2, tmp_img2.rows/2));
cv::resize(tmp_img3, tmp_img3_, cv::Size2i(tmp_img3.cols/2, tmp_img3.rows/2));
tmp_img1 = tmp_img1_;
tmp_img2 = tmp_img2_;
tmp_img3 = tmp_img3_;
tmp_uav_cam_img.push_back(tmp_img1);
tmp_uav_cam_img.push_back(tmp_img2);
tmp_uav_cam_img.push_back(tmp_img3);
ROS_INFO_STREAM("UAV 1 : "<<tmp_uav_cam_img[0].size());
ROS_INFO_STREAM("UAV 2 : "<<tmp_uav_cam_img[1].size());
ROS_INFO_STREAM("UAV 3 : "<<tmp_uav_cam_img[2].size());
unsigned long AAtime=0, BBtime=0; //check processing time
AAtime = getTickCount(); //check processing time
Stitcher::Status status = imgstitcher.stitch(tmp_uav_cam_img, out_stitch_img);
BBtime = getTickCount(); //check processing time
printf("Time Taken: %.2lf sec \n", (BBtime - AAtime)/getTickFrequency() ); //check processing time
cv::Size out_size = out_stitch_img.size();
int out_row = out_size.height;
int out_cols = out_size.width;
if (status != Stitcher::OK || (out_row == 1 && out_cols == 1))
{
ROS_INFO_STREAM("IMAGES DIDNT STITCH - Not Enough Common Features Detected : "<< out_stitch_img.size());
ROS_INFO_STREAM("Increasing height to optimum level, if possible");
opt_pose = true;
uav_int_pose = uavpose_z + 5;
ROS_INFO_STREAM("Optimal Height : " << uav_int_pose);
ROS_INFO_STREAM("Translating ... ");
}else{
ROS_INFO_STREAM("STITCHING RESULT: "<< out_size);
ROS_INFO_STREAM("SUCCESSFUL ");
namedWindow("Stitching Result", WINDOW_AUTOSIZE);
imshow("Stitching Result", out_stitch_img);
}
}catch(cv::Exception& e){
const char* err_msg = e.what();
ROS_INFO_STREAM("SOMETHING WENT WRONG!!!");
ROS_INFO_STREAM("exception caught : " << err_msg);
}
waitKey(0);
out_stitch_img.release();
tmp_img1.release();
tmp_img2.release();
tmp_img3.release();
tmp_img1_.release();
tmp_img2_.release();
tmp_img3_.release();
tmp_uav_cam_img[0].release();
tmp_uav_cam_img[1].release();
tmp_uav_cam_img[2].release();
}
int showImages (unsigned char *data, int n, int m, int nt)
{
Mat img_max_gauss, img_gauss_max, img_max_bm3d, img_max;
Mat imgc_max_gauss, imgc_gauss_max, imgc_max_bm3d, imgc_max;
Mat img_max_gauss_canny, img_gauss_max_canny, img_max_bm3d_canny, img_max_canny;
Mat imgc_max_gauss_canny, imgc_gauss_max_canny, imgc_max_bm3d_canny, imgc_max_canny;
Mat img_max_gauss_watershed, img_gauss_max_watershed, img_max_bm3d_watershed, img_max_watershed;
img_max.create (n, m, CV_8UC1);
img_max.setTo (0);
img_gauss_max.create (n, m, CV_8UC1);
img_gauss_max.setTo (0);
for (int i = 0; i < nt; i++) {
/*Mat img (n, m, imgtype, data + i * n * m), grayImg;
img = min (img, 400);
double minVal, maxVal;
minMaxLoc (img, &minVal, &maxVal); //find minimum and maximum intensities
img.convertTo (img, CV_8U, 255.0 / (maxVal - minVal), -minVal * 255.0 / (maxVal - minVal));
img_max = max (img, img_max);
GaussianBlur (img, img, cv::Size (3, 3), 1.0, 1.0);
img_gauss_max = max (img, img_gauss_max);*/
}
GaussianBlur (img_max, img_max_gauss, cv::Size (3, 3), 1.0, 1.0);
applyColorMap (img_max, imgc_max, COLORMAP_JET);
applyColorMap (img_max_gauss, imgc_max_gauss, COLORMAP_JET);
applyColorMap (img_gauss_max, imgc_gauss_max, COLORMAP_JET);
//while (true) {
//scanf ("%lf %lf", &lowThreshold, &uppThreshold);
//do_canny (img_max, img_max_canny);
//do_canny (img_gauss_max, img_gauss_max_canny);
/*img_max_watershed.create (n, m, CV_32SC1);
img_max_watershed.setTo (0);*/
//ex_watershed (imgc_max);
//watershed (img_gauss_max, img_gauss_max_watershed);
//GaussianBlur (img_max, img_max_gauss, cv::Size (9, 9), 1.0, 1.0);
//do_canny (img_max_gauss, img_max_gauss_canny);
//watershed (img_max_gauss, img_max_gauss_watershed);
/*
imshow ("0. bm3d 1. max 2. jet", imgc_max);
imshow ("0. bm3d 1. max 2. gauss: 3. jet", imgc_max_gauss);
imshow ("0. bm3d 1. gauss 2. max: ", imgc_gauss_max);
*/
// Canny view
/*
imshow ("1. max 2. canny", img_max_canny);
imshow ("1. max 2. gauss 3. canny", img_max_gauss_canny);
imshow ("1. gauss 2. max 3. canny ", img_gauss_max_canny);
*/
/*double minVal, maxVal;
img_max_watershed += 1;
minMaxLoc (img_max_watershed, &minVal, &maxVal);
Mat imgc_watershed;
img_max_watershed.convertTo (imgc_watershed, CV_8U, 255.0 / (maxVal - minVal), -minVal * 255.0 / (maxVal - minVal));*/
//applyColorMap (imgc_watershed, imgc_watershed, COLORMAP_JET);
// Watershed view
//imshow ("1. max 2. watershed", imgc_watershed);
/*imshow ("1. max 2. gauss 3. watershed", img_max_gauss_watershed);
imshow ("1. gauss 2. max 3. watershed ", img_gauss_max_watershed);*/
//int key = waitKey ();
//}
//int x = (int)string (matfilename).find ('.');
//string file_name = string (matfilename).substr (0, x);
//CreateDirectory (file_name.c_str (), 0);
//CreateDirectory (, 0);
//fs::create_directories ((file_name + "\\Max"));
//string path = matfiledir + "\\" + file_name + "\\Max";
//file_name = "";
Mat img_thresh;
//threshold (img_max, img_thresh, threshold_value, threshold_max_value, THRESH_TOZERO | CV_THRESH_OTSU);
//imshow ("some", img_max);
imshow ("max thr", img_thresh);
//threshold (img_max_gauss, img_thresh, 0, threshold_max_value, THRESH_TOZERO | CV_THRESH_OTSU);
imshow ("max gauss thr", img_thresh);
//threshold (img_gauss_max, img_thresh, 0, threshold_max_value, THRESH_TOZERO | CV_THRESH_OTSU);
imshow ("gauss max thr", img_thresh);
/*
imwrite (path + "\\" + "1_max__" + file_name + ".bmp", img_max);
imwrite (path + "\\" + "2_max_gauss__" + file_name + ".bmp", img_max_gauss);
imwrite (path + "\\" + "3_gauss_max__" + file_name + ".bmp", img_gauss_max);
imwrite (path + "\\" + "1_max_jet__" + file_name + ".bmp", imgc_max);
imwrite (path + "\\" + "2_max_gauss_jet__" + file_name + ".bmp", imgc_max_gauss);
imwrite (path + "\\" + "3_gauss_max_jet__" + file_name + ".bmp", imgc_gauss_max);
Mat img_max_thr, img_max_gauss_thr, img_gauss_max_thr;
my_threshold (img_max, img_max_thr);
my_threshold (img_max_gauss, img_max_gauss_thr);
my_threshold (img_gauss_max, img_gauss_max_thr);
imwrite (path + "\\" + "1_max_thr__" + file_name + ".bmp", img_max_thr);
imwrite (path + "\\" + "2_max_gauss_thr__" + file_name + ".bmp", img_max_gauss_thr);
imwrite (path + "\\" + "3_gauss_max_thr__" + file_name + ".bmp", img_gauss_max_thr);
*/
/*// Canny save
imwrite (path + "\\" + "1_max_canny__" + file_name + ".bmp", img_max_canny);
imwrite (path + "\\" + "2_max_gauss_canny__" + file_name + ".bmp", img_max_gauss_canny);
imwrite (path + "\\" + "3_gauss_max_canny__" + file_name + ".bmp", img_gauss_max_canny);*/
int key = waitKey ();
destroyAllWindows ();
return 0;
}
int show_flow (unsigned char *data, int n, int m, int nt, int img_type, int type_size)
{
Point2f point;
bool addRemovePt = false;
VideoCapture cap;
TermCriteria termcrit (CV_TERMCRIT_ITER | CV_TERMCRIT_EPS, 20, 0.03);
Size subPixWinSize (10, 10), winSize (31, 31);
const int MAX_COUNT = 300;
bool needToInit = false;
bool nightMode = false;
Mat gray, prevGray, image;
vector<Point2f> points[2];
Mat img_max_gauss, img_gauss_max, img_max;
Mat imgc_max_gauss, imgc_gauss_max, imgc_max, img_gauss_max_thr;
img_max.create (n, m, CV_8UC1);
img_max.setTo (0);
img_gauss_max.create (n, m, CV_8UC1);
img_gauss_max.setTo (0);
for (int i = 0; i < nt; i++) {
Mat img (n, m, img_type, data + i * n * m * type_size);
img = min (img, 400);
double minVal, maxVal;
minMaxLoc (img, &minVal, &maxVal); //find minimum and maximum intensities
img.convertTo (img, CV_8U, 255.0 / (maxVal - minVal), -minVal * 255.0 / (maxVal - minVal));
img_max = max (img, img_max);
GaussianBlur (img, img, cv::Size (3, 3), 1.0, 1.0);
img_gauss_max = max (img, img_gauss_max);
}
threshold (img_gauss_max, img_gauss_max_thr, 0, 255, THRESH_BINARY | CV_THRESH_OTSU);
Mat img_gauss_max_thr_res;
//resize (img_gauss_max_thr, img_gauss_max_thr_res, cv::Size (img_gauss_max_thr.cols * 3, img_gauss_max_thr.rows * 3), 0, 0, 0);
Mat prev_gray, prev_img;
//int x = (int)string (matfilename).find ('.');
//string file_name = string (matfilename).substr (0, x);
//string path = matfiledir + "\\" + file_name + "\\flow";
//imwrite (path + "\\img_big\\img_gauss_max_thr_res" + +".bmp", img_gauss_max_thr_res);
for (int i = 0; i < nt; i++) {
printf ("i : %d\n", i);
/*Mat frame (n, m, imgtype, data + i * n * m * type_size);
frame = min (frame, 100);
double minVal, maxVal;
minMaxLoc (frame, &minVal, &maxVal);
frame.convertTo (frame, CV_8U, 255.0 / (maxVal - minVal), -minVal * 255.0 / (maxVal - minVal));
GaussianBlur (frame, frame, cv::Size (3, 3), 1.0, 1.0);
//Mat res_img;
//resize (frame, res_img, cv::Size (frame.cols * 3, frame.rows * 3));
//res_img.copyTo (frame);
Mat img, image;
applyColorMap (frame, img, COLORMAP_JET);
img.copyTo (image, img_gauss_max_thr);*/
//frame.copyTo (gray, img_gauss_max_thr);
/*Mat img;
bitwise_and (image, img_gauss_max_thr, img);
image = img;*/
//cvtColor (image, gray, COLOR_BGR2GRAY);
Mat flow, cflow;
/*if (prev_gray.data != nullptr) {
calcOpticalFlowFarneback (prev_gray, gray, flow, 0.5, 5, 10, 1, 5, 1.2, 0);
//cvtColor (prev_img, cflow, COLOR_GRAY2BGR);
prev_img.copyTo(cflow);
draw_optical_flow (flow, cflow, 4, Scalar (0, 100, 0), Scalar (0, 0, 255));
//imshow ("Flow", cflow);
//imshow ("gray", gray);
//imshow ("prev_gray", prev_gray);
char c = (char)waitKey (200);
}
gray.copyTo (prev_gray);
image.copyTo (prev_img);*/
//char c = (char)waitKey (200);
/*
if (nightMode)
image = Scalar::all (0);
if (needToInit) {
// automatic initialization
goodFeaturesToTrack (gray, points[0], MAX_COUNT, 0.01, 10, Mat (), 3, 0, 0.04);
cornerSubPix (gray, points[0], subPixWinSize, Size (-1, -1), termcrit);
addRemovePt = false;
} else if (!points[0].empty ()) {
vector<uchar> status;
vector<float> err;
if (prevGray.empty ())
gray.copyTo (prevGray);
calcOpticalFlowPyrLK (prevGray, gray, points[0], points[1], status, err);
//, winSize,3, termcrit, 0, 0.001);
size_t i, k;
for (i = k = 0; i < points[1].size (); i++) {
if (!status[i])
continue;
points[1][k++] = points[1][i];
if (points->size() > i) {
line (image, points[1][i], points[0][i], Scalar(255, 255, 255), 2);
}
circle (image, points[1][i], 2, Scalar (0, 0, 0), -1, 8);
}
points[1].resize (k);
}
if (addRemovePt && points[1].size () < (size_t)MAX_COUNT) {
vector<Point2f> tmp;
tmp.push_back (point);
cornerSubPix (gray, tmp, winSize, cvSize (-1, -1), termcrit);
points[1].push_back (tmp[0]);
addRemovePt = false;
}
needToInit = false;
imshow ("LK Demo", image);
if (i == 0) char c = (char)waitKey ();*/
//imwrite (path + "\\img_big\\" + std::to_string (i) + ".bmp", image);
//imwrite (path + "\\img_\\" + std::to_string (i) + ".bmp", img);
/*char c = (char)waitKey (0);
if (c == 27)
break;
switch (c) {
case 'r':
needToInit = true;
break;
case 'c':
points[0].clear ();
points[1].clear ();
break;\
case 'n':
nightMode = !nightMode;
break;
case 's':
imwrite (path + "\\" + std::to_string (i) + ".bmp", prev_img);
}*/
}
destroyAllWindows ();
return 0;
}
void* camera(void* arg) {
//pFormatCtx=(AVFormatContext *)arg;
char key;
drawing=false;
Ball.roll = Ball.pitch = Ball.gaz = Ball.yaw = 0;
pthread_mutex_init(&mutexVideo, NULL);
liste.suivant=NULL;
#if output_video == ov_remote_ffmpeg
pthread_t ii;
pthread_create(&ii, NULL, getimg, NULL);
#else
VideoCapture cap(0); //capture video webcam
#endif
#if output_video != ov_remote_ffmpeg
if (!cap.isOpened()) {
cout << "Impossible de lire le flux de la camera" << endl;
return NULL;
}
Mat frame;
cap >> frame;
fSize.width = frame.cols;
fSize.height = frame.rows;
#endif
// Initialise les fenetres
namedWindow(winDetected, 1);
namedWindow(winOutputVideo, 1);
//Creer une image noir de taille de notre image tmp
Mat imgLines = Mat::zeros(fSize.height, fSize.width, CV_8UC3);
while (true) {
#if output_video != ov_remote_ffmpeg
bool bSuccess = cap.read(imgOriginal); // Nouvelle capture
if (!bSuccess) {
cout << "Impossible de lire le flux video" << endl;
break;
}
#else
pthread_mutex_lock(&mutexVideo);
memcpy(img->imageData, pFrameBGR->data[0], pCodecCtx->width * ((pCodecCtx->height == 368) ? 360 : pCodecCtx->height) * sizeof(uint8_t) * 3);
pthread_mutex_unlock(&mutexVideo);
imgOriginal = cv::cvarrToMat(img, true);
#endif
pthread_t mtId,ocId;
//Appel aux threads de tracking
pthread_create(&mtId, NULL, &matchTemplate, NULL);
pthread_create(&ocId, NULL, &opencv, NULL);
pthread_join(mtId,NULL);
pthread_join(ocId,NULL);
//Fonction permettant d'interpreter les résultats des deux tracking
Ball.setRealPos();
// Genere la fenetre de repere
imgLines.setTo(Scalar(255, 255, 255));
drawCross(imgLines, fSize.width / 2, fSize.height / 2, Scalar(0, 0, 255));
drawCross(imgLines, posX, posY, Scalar(0, 255, 0));
imgOriginal = imgOriginal & imgLines; // Croise les resultats à la fenetre de sortie //
// Affichage des fenetre //
imshow(winDetected, imgDetection); //Pour montrer l image avec le masque
//imshow(winRepere, imgLines); //Pour montrer la fenetre de repere
imshow(winOutputVideo, imgOriginal); //Image d origine
string Action = "Mouvement a effectuer : ";
ObjCoord tmp = Ball.getRealPos();
cout << "x " << tmp.Xcoord << " y " << tmp.Ycoord << " z " << tmp.Zcoord << endl;
/*
if(tmp.Zcoord == -1){
Action += "Recule, "; Ball.pitch = 0.05f;
}
else if(tmp.Zcoord == 1){
Action += "Avance, "; Ball.pitch = -0.05f;
}
else
{
Ball.pitch = 0;
}
*/
if (tmp.Xcoord <= 35.0 && tmp.Xcoord != 0) {
Ball.yaw = -0.2f;
Action += "Gauche ("+ to_string(Ball.yaw)+"%), ";
} else if (tmp.Xcoord >= 65.0) {
Ball.yaw = 0.2f;
Action += "Droite ("+ to_string(Ball.yaw)+"%), ";
}
else
{
Ball.yaw = 0;
}
if (tmp.Ycoord >= 65.0) {
Action += "Descendre"; Ball.gaz = -0.2f;
} else if (tmp.Ycoord <= 35.0 && tmp.Ycoord != 0) {
Action += "Monter"; Ball.gaz = 0.2f;
}
else
{
Ball.gaz = 0;
}
/*if(Ball.pitch != 0) {
Ball.roll = Ball.yaw / 2;
Ball.yaw = 0;
}*/
if(tmp.Xcoord == 0 && tmp.Ycoord == 0 && tmp.Zcoord == 0)
{
Ball.roll = Ball.pitch = Ball.gaz = Ball.yaw = 0;
}
if(Ball.pitch == 0)
AtCmd::sendMovement(0, Ball.roll, Ball.pitch, Ball.gaz, Ball.yaw);
else
AtCmd::sendMovement(3, Ball.roll, Ball.pitch, Ball.gaz, Ball.yaw);
//cout << Action << endl;
key=waitKey(10);
if(key == 10)
{
enVol=true;
key=-1;
}
else if (key != -1) //Attends qu'une touche soit presser pour quitter
{
break;
}
}
stopTracking=true;
destroyAllWindows();
return NULL;
}
void MainWindow::decrypt()
{
FILE *f = fopen(filename.c_str(), "rb");
if (!f) {
QMessageBox::critical(0, "Error", "No image file is loaded!!");
return;
}
isEncryption = false;
QString text = QInputDialog::getText(this, "Password",
"Please enter your password for decryption",
QLineEdit::Password, QString());
string pwd = string((const char *)text.toLocal8Bit());
MD5 md5(pwd);
key = md5.getDigest();
AES aes(key);
unsigned char info[16] = "";
fseek(f, -16, SEEK_END);
fread(info, 1, 16, f);
// verify key and info
aes.InvCipher(info);
if (memcmp(info+8, "SEAcret", 7)) {
QMessageBox::critical(0, "Error", "Incorrect password or there is no secret in the image");
return;
}
int buf_size[2];
memcpy(buf_size, info, sizeof(int)*2);
fseek(f, -16-buf_size[0]-buf_size[1], SEEK_END);
unsigned char *temp;
vector<unsigned char> mask_buf(buf_size[0]);
vector<unsigned char> secret_buf(buf_size[1]);
fread(&mask_buf[0], 1, buf_size[0], f);
fread(&secret_buf[0], 1, buf_size[1], f);
fclose(f);
for (int i = 0; i < buf_size[0]; i+=16) {
temp = &mask_buf[0]+i;
aes.InvCipher(temp);
}
Mat mask = imdecode((Mat)mask_buf, CV_LOAD_IMAGE_GRAYSCALE);
mask = mask > 128;
for (int i = 0; i < buf_size[1]; i+=16) {
temp = &secret_buf[0]+i;
aes.InvCipher(temp);
}
Mat secret = imdecode((Mat)secret_buf, 1);
_dst = imread(filename, 1);
secret.copyTo(_dst, mask);
imshow("Result", _dst);
waitKey(0);
destroyAllWindows();
}
int main(int argc, char *argv[])
{
if (argc != 4)
{
cout << "Usage: " << endl;
cout << "ACCV2009.exe Folder imfn1 imfn2" << endl;
return -1;
}
string folder = argv[1];
string imfn1 = argv[2];
string imfn2 = argv[3];
string outfolder = "../output";
_mkdir(outfolder.c_str());
Mat im1 = imread(folder + imfn1 + ".png", 1);
Mat im2 = imread(folder + imfn2 + ".png", 1);
int width = im1.cols;
int height = im1.rows;
//颜色空间转换
Mat im1_H, im1_S, im1_I;
Mat im2_H, im2_S, im2_I;
//CvtColorBGR2HSI(im1, im1_H, im1_S, im1_I);
//CvtColorBGR2HSI(im2, im2_H, im2_S, im2_I);
cv_CvtColorBGR2HSI(im1, im1_H, im1_S, im1_I);
cv_CvtColorBGR2HSI(im2, im2_H, im2_S, im2_I);
int sigmaS = 5;
float sigmaR = 10;
int minR = 800;
vector<int> labels1(0), labels2(0);
//#define RQ_DEBUG
#ifdef RQ_DEBUG
int regionum1, regionum2;
DoMeanShift(im1, sigmaS, sigmaR, minR, labels1, regionum1);
DoMeanShift(im2, sigmaS, sigmaR, minR, labels2, regionum2);
cout << endl;
saveLabels(labels1, width, height, outfolder+"/labels_" + imfn1 + ".txt");
saveLabels(labels2, width, height, outfolder+"/labels_" + imfn2 + ".txt");
#else
int regionum1, regionum2;
readLabels(outfolder+"/labels_" + imfn1 + ".txt", width, height, labels1, regionum1);
readLabels(outfolder+"/labels_" + imfn2 + ".txt", width, height, labels2, regionum2);
#endif
string siftmatchfn = folder + "matches_sift.txt";
vector<Point2f> features1(0), features2(0);
ReadSiftMatches(siftmatchfn, features1, features2);
vector<vector<Point2f>> matches1(0), matches2(0);
vector<vector<Point2f>> pixelTable2(0);
ComputeRegionMatches(labels2, regionum2, width, features1, features2, matches1, matches2);
cout << "all regions have matches." << endl << endl;
//显示每个区域的matches : 显示一次就好
vector<float> DeltaH(0), DeltaS(0), DeltaI(0);
RegionDeltaColor(im1_H, im2_H, matches1, matches2, DeltaH);
RegionDeltaColor(im1_S, im2_S, matches1, matches2, DeltaS);
RegionDeltaColor(im1_I, im2_I, matches1, matches2, DeltaI);
Mat new_im2_H, new_im2_S, new_im2_I;
CorrectColor(im2_H, labels2, DeltaH, new_im2_H);
CorrectColor(im2_S, labels2, DeltaS, new_im2_S);
CorrectColor(im2_I, labels2, DeltaI, new_im2_I);
Mat new_im2;
//CvtColorHSI2BGR(new_im2_H, new_im2_S, new_im2_I, new_im2);
cv_CVtColorHSI2BGR(new_im2_H, new_im2_S, new_im2_I, new_im2);
cout << "done." << endl;
imshow("new im2", new_im2);
waitKey(0);
destroyAllWindows();
string savefn = outfolder + "/accv2009_" + imfn2 + ".png";
cout << "save " << savefn << endl;
imwrite(savefn, new_im2);
}
Vision::~Vision()
{
destroyAllWindows();
Vision::m_instance = NULL;
CloseFlyCapCamera();
}
int main(int argc, char* argv[])
{
// Build color lookup table for depth display
Mat colorLut = Mat(cv::Size(256, 1), CV_8UC3);
for(int i = 0; i < 256; i++)
colorLut.at<Vec3b>(i) = (i==0) ? Vec3b(0, 0, 0) : HSV2RGB(i/256.0f, 1, 1);
// Open Dense3D
Dense3DMTInstance dense3d;
if(!Dense3DOpen(&dense3d))
{
printf("Could not open Dense3DMT library\n");
return 1;
}
DUOInstance duo = GetDUOInstance(dense3d);
char tmp[260];
GetDUODeviceName(duo,tmp);
printf("DUO Device Name: '%s'\n", tmp);
GetDUOSerialNumber(duo, tmp);
printf("DUO Serial Number: %s\n", tmp);
GetDUOFirmwareVersion(duo, tmp);
printf("DUO Firmware Version: v%s\n", tmp);
GetDUOFirmwareBuild(duo, tmp);
printf("DUO Firmware Build: %s\n", tmp);
printf("DUOLib Version: v%s\n", GetDUOLibVersion());
printf("Dense3DMT Version: v%s\n", Dense3DGetLibVersion());
// Set the Dense3D license (visit https://duo3d.com/account)
if(!SetDense3DLicense(dense3d, "XXXXX-XXXXX-XXXXX-XXXXX-XXXXX")) // <-- Put your Dense3D license
{
printf("Invalid or missing Dense3D license. To get your license visit https://duo3d.com/account\n");
// Close Dense3D library
Dense3DClose(dense3d);
return 1;
}
// Set the image size
if(!SetDense3DImageInfo(dense3d, WIDTH, HEIGHT, FPS))
{
printf("Invalid image size\n");
// Close Dense3D library
Dense3DClose(dense3d);
return 1;
}
// Set Dense3D parameters
Dense3DParams params;
params.scale = 0;
params.mode = 0;
params.numDisparities = 2;
params.sadWindowSize = 6;
params.preFilterCap = 28;
params.uniqenessRatio = 27;
params.speckleWindowSize = 52;
params.speckleRange = 14;
if(!SetDense3Params(dense3d, params))
{
printf("GetDense3Params error\n");
// Close Dense3D library
Dense3DClose(dense3d);
return 1;
}
// Queue used to receive Dense3D frames
Dense3DFrameQueue d3dq;
// Start DUO capture and Dense3D processing
if(!Dense3DStart(dense3d, [](const PDense3DFrame pFrameData, void *pUserData)
{
D3DFrame frame;
Size frameSize(pFrameData->duoFrame->width, pFrameData->duoFrame->height);
frame.leftImg = Mat(frameSize, CV_8U, pFrameData->duoFrame->leftData);
frame.rightImg = Mat(frameSize, CV_8U, pFrameData->duoFrame->rightData);
frame.disparity = Mat(frameSize, CV_32F, pFrameData->disparityData);
frame.depth = Mat(frameSize, CV_32FC3, pFrameData->depthData);
((Dense3DFrameQueue*)pUserData)->push(frame);
}, &d3dq))
{
printf("Dense3DStart error\n");
// Close Dense3D library
Dense3DClose(dense3d);
return 1;
}
// Set exposure, LED brightness and camera orientation
SetDUOExposure(duo, 85);
SetDUOLedPWM(duo, 28);
SetDUOVFlip(duo, true);
// Run capture loop until <Esc> key is pressed
while((cvWaitKey(1) & 0xff) != 27)
{
D3DFrame d3DFrame;
if(!d3dq.pop(d3DFrame))
continue;
Mat disp8;
d3DFrame.disparity.convertTo(disp8, CV_8UC1, 255.0/(params.numDisparities*16));
Mat rgbBDisparity;
cvtColor(disp8, rgbBDisparity, COLOR_GRAY2BGR);
LUT(rgbBDisparity, colorLut, rgbBDisparity);
// Display images
imshow("Left Image", d3DFrame.leftImg);
imshow("Right Image", d3DFrame.rightImg);
imshow("Disparity Image", rgbBDisparity);
}
destroyAllWindows();
Dense3DStop(dense3d);
Dense3DClose(dense3d);
return 0;
}
AerialCameraStitch::~AerialCameraStitch(){
destroyAllWindows();
}
Chroma_processing::~Chroma_processing()
{
//destroy GUI windows
destroyAllWindows();
}
unsigned test(CClassifier * cl, CCaptcha * captcha)
{
char captcha_predict[nic];
unsigned u, v, max_area_ind;
double area, max_area;
Mat img = (* captcha)();
Size size = img.size();
Mat kernel(3, 3, CV_64FC1);
Mat blr, median, filter, lpl, sum, temp, nimg, thr;
vector<Mat> ch;
vector<vector<Point> > cnt;
kernel.at<double>(0, 0) = -0.1;
kernel.at<double>(0, 1) = -0.1;
kernel.at<double>(0, 2) = -0.1;
kernel.at<double>(1, 0) = -0.1;
kernel.at<double>(1, 1) = 2;
kernel.at<double>(1, 2) = -0.1;
kernel.at<double>(2, 0) = -0.1;
kernel.at<double>(2, 1) = -0.1;
kernel.at<double>(2, 2) = -0.1;
medianBlur(img, median, 5);
filter2D(median, filter, -1, kernel);
Laplacian(filter, lpl, CV_32F, 5);
threshold(lpl, thr, 150, 255, THRESH_BINARY);
split(thr, ch);
add(ch[0], ch[1], temp, noArray());
add(temp, ch[2], sum, noArray(), CV_8U);
for(u = 0; u < nic; u++)
{
try
{
Mat nimg = sum(Range(0, size.height), Range(u * size.width / nic, (u + 1) * size.width / nic)).clone();
Mat tnimg = nimg.clone();
temp = nimg.clone();
Mat vc = vec(nimg);
captcha_predict[u] = captcha->alphabet(cl->predict(vc));
printf("%c\n", captcha_predict[u]);
Mat cnt_img(size.height, size.width / nic, CV_8UC1);
findContours(temp, cnt, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_TC89_KCOS);
for(v = 0, max_area = 0; v < cnt.size(); v++)
{
area = contourArea(cnt[v]);
if(area > max_area)
{
max_area = area;
max_area_ind = v;
}
}
vector<vector<Point> > approx_cnt;
approx_cnt.push_back(vector<Point>());
approxPolyDP(cnt[max_area_ind], approx_cnt[0], 2, true);
rectangle(cnt_img, Point(0, 0), Point(size.width, size.height), Scalar::all(0), CV_FILLED);
drawContours(cnt_img, approx_cnt, -1, Scalar::all(255));
namedWindow("img", CV_WINDOW_NORMAL);
namedWindow("nimg", CV_WINDOW_NORMAL);
namedWindow("median", CV_WINDOW_NORMAL);
namedWindow("filter", CV_WINDOW_NORMAL);
namedWindow("laplacian", CV_WINDOW_NORMAL);
namedWindow("thres", CV_WINDOW_NORMAL);
namedWindow("sum", CV_WINDOW_NORMAL);
namedWindow("cnt_img", CV_WINDOW_NORMAL);
imshow("img", img);
imshow("nimg", tnimg);
imshow("median", median);
imshow("filter", filter);
imshow("laplacian", lpl);
imshow("thres", thr);
imshow("sum", sum);
imshow("cnt_img", cnt_img);
waitKey();
destroyAllWindows();
}
catch(...)
{
;
}
}
return captcha->check(captcha_predict);
}
void saveExperiment(Mat &verticesFloatingPoint, Mat &depthMapFloatingPoint,Mat &colorMap, Mat &confMap, Mat &uvMap, Mat &RGBuvmap)
{
char cCurrentPath[FILENAME_MAX];
GetCurrentDir(cCurrentPath, sizeof(cCurrentPath));
string working_path(cCurrentPath);
working_path+=+"\\data\\";
HandSegm::DepthNode *dep = HandSegm::DepthNode::getInstance();
if(new_experiment)
{
name_dir.push_back(createDirs());
new_experiment = false;
}
imshow("rgbuvmap",RGBuvmap);
imshow("dep->getDepthMapFloatingPoint()",depthMapFloatingPoint);
imshow("dep->getConfMap()",confMap);
if(waitKey(1) == 's' || s_already_pressed == true)
{
if(!s_already_pressed)
{
cout << "Recording..." << endl;
}
s_already_pressed = true;
vec_verticesFloatingPointArray.push_back(verticesFloatingPoint);
vec_colorMap.push_back(colorMap);
vec_confMap.push_back(confMap);
vec_uvMap.push_back(uvMap);
vec_RGBuvmap.push_back(RGBuvmap);
frameCounter++;
}
if(frameCounter == nFramesPerExperiment)
{
cout << "Recording done." << endl;
frameCounter = 0;
s_already_pressed = false;
experimentCounter++;
new_experiment = true;
destroyAllWindows();
}
if(name_dir.back() == "e")
{
destroyAllWindows();
cout << "Recording complete." << endl;
cout << "Saving " << experimentCounter << "experiments to disk..." << endl;
for(int i=0;i<experimentCounter;i++)
{
cout<<"Saving experiment `" << name_dir[i] << "`" << endl;
for(int j=0;j<nFramesPerExperiment;j++)
{
saveToFile<float>(vec_verticesFloatingPointArray[i*nFramesPerExperiment+j], working_path+"\\"+name_dir[i]+verticesFloatingPoint_str+"\\", j);
saveToFile<int16_t>(vec_colorMap[i*nFramesPerExperiment+j], working_path+name_dir[i]+colorMap_str+"\\", j);
saveToFile<int16_t>(vec_confMap[i*nFramesPerExperiment+j], working_path+name_dir[i]+confidenceMap_str+"\\", j);
saveToFile<float>(vec_uvMap[i*nFramesPerExperiment+j], working_path+name_dir[i]+uvMap_str+"\\", j);
std::ostringstream oss;
oss << j << ".png";
imwrite( working_path+name_dir[i]+RGBuvMap_str+"\\"+oss.str(),vec_RGBuvmap[i*nFramesPerExperiment+j]);
cout<< std::setprecision(3) << ((float)j/(float)nFramesPerExperiment)*100<<"%"<<endl;
}
}
cout << "Saving complete." << endl;
Sleep(1000);
exit( 0 );
}
}
void main()
{
const string SRC_WIN_NAME = "Ôͼ";
const string MED_WIN_NAME = "Ä£ºýͼ";
const string DST_WIN_NAME = "¸´Ôͼ";
const string SRC_NAME = "../../ImageRestore/images/flower.jpg";/*be_grdient.jpg*/
Mat srcImage = imread(SRC_NAME, CV_LOAD_IMAGE_GRAYSCALE);
Mat medImage, dstImage1, dstImage2, dstImage3, psf;
imageInit(srcImage, srcImage);
imshow("Ôͼ",srcImage);
cout << "depth=" << srcImage.depth() << endl;
fftShow(srcImage);
//Mat A = (Mat_<float>(3, 3) << 3, 2, 1, 4.5, 5, 2, 4, 2, 3);
//float d=A.at<float>(1,1);
//float e = A.at<float>(1,2);
//calWeight(srcImage, medImage);
//cout << medImage<< endl;
//normalize(medImage, medImage, 1, 0, NORM_MINMAX);
//medImage=Mat_<uchar>(medImage);
//genaratePsf(psf,15, 40);
//
// filter2D(srcImage, medImage, -1, psf);
//cepstral(medImage,dstImage1);
//double angle = directionDiffAngle(medImage);
//cout << " angle=" << angle << endl;
//imshow("µ¹Æ×", dstImage1);
//wnrFilter2(medImage, psf, dstImage1);
//inverseFilter(medImage, psf, dstImage1);
// deconvRL3(medImage, psf, dstImage1, 20);
//double t1 = (double)getTickCount();
//deconvRL4(medImage, psf, dstImage3, 20);
//t1 = ((double)getTickCount() - t1) / getTickFrequency();
//double t2 = (double)getTickCount();
//deconvRL5(medImage, psf, dstImage2,20);
//t2 = ((double)getTickCount() - t2) / getTickFrequency();
////imwrite("lenal25a40.bmp", medImage);
////imwrite("lenal15a40_wnr2.bmp", dstImage2);
//deconvRL3(medImage, psf, dstImage3, 20);
////double PSNR1 = calPSNR(dstImage2, srcImage);
//double GMG1 = calGMG(srcImage);
//double GMG2 = calGMG(medImage);
//double GMG3 = calGMG(dstImage1);
//double GMG4 = calGMG(dstImage2);
//double con1 = calContrast(srcImage);
//double con2 = calContrast(medImage);
//double con3 = calContrast(dstImage1);
//double con4 = calContrast(dstImage2);
//double nsr1 = estimatek(srcImage);
//double nsr2 = estimatek(medImage);
//double nsr3 = estimatek(dstImage1);
//double nsr4 = estimatek(dstImage2);
////double PSNR3 = calPSNR(dstImage3, srcImage);
////
//
////cout << "t=" <<t2 << endl;
////
//cout << "GMG1=" << GMG1 << endl;
//cout << "GMG2=" << GMG2 << endl;
//cout << "GMG3=" << GMG3 << endl;
//cout << "GMG4=" << GMG4 << endl;
//cout << "con1=" << con1 << endl;
//cout << "con2=" << con2 << endl;
//cout << "con3=" << con3 << endl;
//cout << "con4=" << con4 << endl;
//cout << "nsr1=" << nsr1 << endl;
//cout << "nsr2=" << nsr2 << endl;
//cout << "nsr3=" << nsr3 << endl;
//cout << "nsr4=" << nsr4 << endl;
////imshow("Ä£ºýºË", psf);
//
////namedWindow("Ä£ºýºË1", 0);
//imshow(SRC_WIN_NAME, srcImage);
//imshow(MED_WIN_NAME, medImage);
//imshow("wnr+edgetaper", dstImage1);
//imshow("RL5+edgetaper", dstImage2);
//imshow("RL3+edgetaper", dstImage3);
// imshow("extend", dstImage3);
waitKey(0);
destroyAllWindows();
}
/// Calibrates the extrinsic parameters of the setup and saves it to an XML file
/// Press'r' to retreive chessboard corners
/// 's' to save and exit
/// 'c' to exit without saving
/// In: inputCapture1: video feed of camera 1
/// inputCapture2: video feed of camera 2
void CalibrateEnvironment(VideoCapture& inputCapture1, VideoCapture& inputCapture2)
{
Size boardSize;
boardSize.width = BOARD_WIDTH;
boardSize.height = BOARD_HEIGHT;
const string fileName1 = "CameraIntrinsics1.xml";
const string fileName2 = "CameraIntrinsics2.xml";
cerr << "Attempting to open configuration files" << endl;
FileStorage fs1(fileName1, FileStorage::READ);
FileStorage fs2(fileName2, FileStorage::READ);
Mat cameraMatrix1, cameraMatrix2;
Mat distCoeffs1, distCoeffs2;
fs1["Camera_Matrix"] >> cameraMatrix1;
fs1["Distortion_Coefficients"] >> distCoeffs1;
fs2["Camera_Matrix"] >> cameraMatrix2;
fs2["Distortion_Coefficients"] >> distCoeffs2;
if (cameraMatrix1.data == NULL || distCoeffs1.data == NULL ||
cameraMatrix2.data == NULL || distCoeffs2.data == NULL)
{
cerr << "Could not load camera intrinsics\n" << endl;
}
else{
cerr << "Loaded intrinsics\n" << endl;
cerr << "Camera Matrix1: " << cameraMatrix1 << endl;
cerr << "Camera Matrix2: " << cameraMatrix2 << endl;
}
Mat translation;
Mat image1, image2;
Mat mapX1, mapX2, mapY1, mapY2;
inputCapture1.read(image1);
Size imageSize = image1.size();
bool rotationCalibrated = false;
while(inputCapture1.isOpened() && inputCapture2.isOpened())
{
inputCapture1.read(image1);
inputCapture2.read(image2);
if (rotationCalibrated)
{
Mat t1 = image1.clone();
Mat t2 = image2.clone();
remap(t1, image1, mapX1, mapY1, INTER_LINEAR);
remap(t2, image2, mapX2, mapY2, INTER_LINEAR);
t1.release();
t2.release();
}
char c = waitKey(15);
if (c == 'c')
{
cerr << "Cancelling..." << endl;
return;
}
else if(c == 's' && rotationCalibrated)
{
cerr << "Saving..." << endl;
const string fileName = "EnvironmentCalibration.xml";
FileStorage fs(fileName, FileStorage::WRITE);
fs << "Camera_Matrix_1" << getOptimalNewCameraMatrix(cameraMatrix1, distCoeffs1, imageSize, 1,imageSize, 0);
fs << "Camera_Matrix_2" << getOptimalNewCameraMatrix(cameraMatrix2, distCoeffs2, imageSize, 1, imageSize, 0);
fs << "Mapping_X_1" << mapX1;
fs << "Mapping_Y_1" << mapY1;
fs << "Mapping_X_2" << mapX2;
fs << "Mapping_Y_2" << mapY2;
fs << "Translation" << translation;
cerr << "Exiting..." << endl;
destroyAllWindows();
return;
}
else if(c == 's' && !rotationCalibrated)
{
cerr << "Exiting..." << endl;
destroyAllWindows();
return;
}
else if (c == 'r')
{
BoardSettings s;
s.boardSize.width = BOARD_WIDTH;
s.boardSize.height = BOARD_HEIGHT;
s.cornerNum = s.boardSize.width * s.boardSize.height;
s.squareSize = (float)SQUARE_SIZE;
vector<Point3f> objectPoints;
vector<vector<Point2f> > imagePoints1, imagePoints2;
if (RetrieveChessboardCorners(imagePoints1, imagePoints2, s, inputCapture1, inputCapture2, ITERATIONS))
{
vector<vector<Point3f> > objectPoints(1);
CalcBoardCornerPositions(s.boardSize, s.squareSize, objectPoints[0]);
objectPoints.resize(imagePoints1.size(),objectPoints[0]);
Mat R, T, E, F;
Mat rmat1, rmat2, rvec;
double rms = stereoCalibrate(objectPoints, imagePoints1, imagePoints2, cameraMatrix1, distCoeffs1, cameraMatrix2, distCoeffs2, imageSize, R, T, E, F,
TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 1000, 0.01),
CV_CALIB_FIX_INTRINSIC);
cerr << "Original translation: " << T << endl;
cerr << "Reprojection error reported by camera: " << rms << endl;
// convert to rotation vector and then remove 90 degree offset
Rodrigues(R, rvec);
rvec.at<double>(1,0) -= 1.570796327;
// equal rotation applied to each image...not necessarily needed
rvec = rvec/2;
Rodrigues(rvec, rmat1);
invert(rmat1,rmat2);
initUndistortRectifyMap(cameraMatrix1, distCoeffs1, rmat1,
getOptimalNewCameraMatrix(cameraMatrix1, distCoeffs1, imageSize, 1,imageSize, 0), imageSize, CV_32FC1, mapX1, mapY1);
initUndistortRectifyMap(cameraMatrix2, distCoeffs2, rmat2,
getOptimalNewCameraMatrix(cameraMatrix2, distCoeffs2, imageSize, 1, imageSize, 0), imageSize, CV_32FC1, mapX2, mapY2);
// reproject points in camera 1 since its rotation has been changed
// need to find the translation between cameras based on the new camera 1 orientation
for (int i = 0; i < imagePoints1.size(); i++)
{
Mat pointsMat1 = Mat(imagePoints1[i]);
Mat pointsMat2 = Mat(imagePoints2[i]);
undistortPoints(pointsMat1, imagePoints1[i], cameraMatrix1, distCoeffs1, rmat1,getOptimalNewCameraMatrix(cameraMatrix1, distCoeffs1, imageSize, 1, imageSize, 0));
undistortPoints(pointsMat2, imagePoints2[i], cameraMatrix2, distCoeffs2, rmat2,getOptimalNewCameraMatrix(cameraMatrix2, distCoeffs2, imageSize, 1, imageSize, 0));
pointsMat1.release();
pointsMat2.release();
}
Mat temp1, temp2;
R.release();
T.release();
E.release();
F.release();
// TODO: remove this
// CalcBoardCornerPositions(s.boardSize, s.squareSize, objectPoints[0]);
// objectPoints.resize(imagePoints1.size(),objectPoints[0]);
stereoCalibrate(objectPoints, imagePoints1, imagePoints2, cameraMatrix1, distCoeffs1, cameraMatrix2, distCoeffs2, imageSize, R, T, E, F,
TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 1000, 0.01),
CV_CALIB_FIX_INTRINSIC);
// need to alter translation matrix so
// [0] = distance in X direction (right from perspective of camera 1 is positive)
// [1] = distance in Y direction (away from camera 1 is positive)
// [2] = distance in Z direction (up is positive)
translation = T;
double temp = -translation.at<double>(0,0);
translation.at<double>(0,0) = translation.at<double>(2,0);
translation.at<double>(2,0) = temp;
cerr << "Translation reproj: " << translation << endl;
Rodrigues(R, rvec);
cerr << "Reprojected rvec: " << rvec << endl;
imagePoints1.clear();
imagePoints2.clear();
rvec.release();
rmat1.release();
rmat2.release();
R.release();
T.release();
E.release();
F.release();
rotationCalibrated = true;
}
}
imshow("Image View1", image1);
imshow("Image View2", image2);
}
}
void KinectDataMan::ShowColorDepth()
{
// init kinect and connect
if( m_cvhelper.IsInitialized() )
return;
m_cvhelper.SetColorFrameResolution(color_reso);
m_cvhelper.SetDepthFrameResolution(depth_reso);
HRESULT hr;
// Get number of Kinect sensors
int sensorCount = 0;
hr = NuiGetSensorCount(&sensorCount);
if (FAILED(hr))
{
return;
}
// If no sensors, update status bar to report failure and return
if (sensorCount == 0)
{
cerr<<"No kinect"<<endl;
}
// Iterate through Kinect sensors until one is successfully initialized
for (int i = 0; i < sensorCount; ++i)
{
INuiSensor* sensor = NULL;
hr = NuiCreateSensorByIndex(i, &sensor);
if (SUCCEEDED(hr))
{
hr = m_cvhelper.Initialize(sensor);
if (SUCCEEDED(hr))
{
// Report success
cerr<<"Kinect initialized"<<endl;
break;
}
else
{
// Uninitialize KinectHelper to show that Kinect is not ready
m_cvhelper.UnInitialize();
return;
}
}
}
DWORD width, height;
m_cvhelper.GetColorFrameSize(&width, &height);
Size colorsz(width, height);
Mat cimg(colorsz, m_cvhelper.COLOR_TYPE);
m_cvhelper.GetDepthFrameSize(&width, &height);
Size depthsz(width, height);
Mat dimg(depthsz, m_cvhelper.DEPTH_RGB_TYPE);
// start processing
while(true)
{
// get color frame
if( SUCCEEDED(m_cvhelper.UpdateColorFrame()) )
{
HRESULT hr = m_cvhelper.GetColorImage(&cimg);
if(FAILED(hr))
break;
imshow("color", cimg);
if( waitKey(10) == 'q' )
break;
}
if( SUCCEEDED(m_cvhelper.UpdateDepthFrame()) )
{
HRESULT hr = m_cvhelper.GetDepthImageAsArgb(&dimg);
if(FAILED(hr))
break;
imshow("depth", dimg);
if( waitKey(10) == 'q' )
break;
}
}
destroyAllWindows();
}
Depth_processing::~Depth_processing()
{
//destroy GUI windows
destroyAllWindows();
}
