int main(int argc, const char **argv)
{
// create an image (3 channels, 16 bit image depth,
// 650 high, 600 wide, (0, 50000, 50000)) assigned for
// Blue, Green and Red plane respectively.)
Mat img(650, 600, CV_16UC3, Scalar(0, 50000, 50000));
if (img.empty())
{
cout << "ERROR : Image cannot be loaded..!!" << endl;
return -1;
}
// vector that stores the compression parameters of the image
vector<int> compression_params;
// specify the compression technique
compression_params.push_back(CV_IMWRITE_JPEG_QUALITY);
// specify the compression quality
compression_params.push_back(98);
// write the image to file
bool bSuccess = imwrite("./testImage.jpg", img, compression_params);
if (!bSuccess)
{
cout << "ERROR : Failed to save the image" << endl;
}
// create a window with the name "MyWindow"
namedWindow("MyWindow", CV_WINDOW_AUTOSIZE);
// display the image which is stored in the 'img' in the "MyWindow" window
imshow("MyWindow", img);
waitKey(0);
destroyWindow("MyWindow");
// write video to file
VideoCapture cap(0); // open the video camera no. 0
if (!cap.isOpened()) // if not success, exit program
{
cout << "ERROR: Cannot open the video file" << endl;
return -1;
}
namedWindow("MyVideo",CV_WINDOW_AUTOSIZE); //create a window called "MyVideo"
double dWidth = cap.get(CV_CAP_PROP_FRAME_WIDTH); //get the width of frames of the video
double dHeight = cap.get(CV_CAP_PROP_FRAME_HEIGHT); //get the height of frames of the video
cout << "Frame Size = " << dWidth << "x" << dHeight << endl;
Size frameSize(static_cast<int>(dWidth), static_cast<int>(dHeight));
VideoWriter oVideoWriter ("./MyVideo.avi", CV_FOURCC('P','I','M','1'), 20, frameSize, true); //initialize the VideoWriter object
if ( !oVideoWriter.isOpened() ) //if not initialize the VideoWriter successfully, exit the program
{
cout << "ERROR: Failed to write the video" << endl;
return -1;
}
while (1)
{
Mat frame;
bool bSuccess = cap.read(frame); // read a new frame from video
if (!bSuccess) //if not success, break loop
{
cout << "ERROR: Cannot read a frame from video file" << endl;
break;
}
oVideoWriter.write(frame); //writer the frame into the file
imshow("MyVideo", frame); //show the frame in "MyVideo" window
if (waitKey(10) == 27) //wait for 'esc' key press for 30ms. If 'esc' key is pressed, break loop
{
cout << "esc key is pressed by user" << endl;
break;
}
}
return 0;
}
void grabarVideo(Mat frame, VideoCapture cap)
{
bool static isRecording = false;
VideoWriter static writer;
time_t static vidDelta = 0;
int vidFps = 10;
int fourcc = CV_FOURCC(vidCodec[0],vidCodec[1],vidCodec[2], vidCodec[3]);
int imgInterval = 60; // seconds
int imgNum = 0;
time_t sec;
long static frameNum = 0;
bool isDisplayEnabled = false;
// int delay = 1;
int vidNum = 1;
bool isRecordingEnabled = vidNum > 0 ? true : false;
bool isImageCaptureEnabled = imgNum > 0 ? true : false;
time_t vidTime = 20;
int vidTotal = 0;
time_t imgTime = 0;
time_t imgDelta = 0;
int imgTotal = 0;
int vidInterval = 60; // seconds
double fps = 0.0;
sec = time(NULL);
frameNum++;
if (isDisplayEnabled)
{
if(!frame.empty())
imshow("Current Frame", frame);
}
// Decide whether to create new video file
if ((isRecordingEnabled) && (!isRecording))
{
int width = (int)cap.get(CV_CAP_PROP_FRAME_WIDTH);
int height = (int)cap.get(CV_CAP_PROP_FRAME_HEIGHT);
writer = createVideoFile(vidDir, width, height, vidFps, fourcc, sec);
if(writer.isOpened())
{
vidTime = sec;
isRecording = true;
frameNum = 0;
}
else
{
cout<< "No se pudo abrir el directorio: "<<vidDir<<endl;
isRecordingEnabled=false;
}
}
// Write frame to video, calculate time interval and whether or not to create new video file
if (isRecordingEnabled)
{
writer.write(frame);
vidDelta = sec - vidTime;
// cout << "vidDelta "<<vidDelta<<" >= "<<vidInterval<<endl;
if (vidDelta >= vidInterval) {
// isRecording = false;
vidTotal = vidTotal + 1;
// cout << "Videos recorded =" << vidTotal << "/" << vidNum << endl;
// cout << "vidTotal="<<vidTotal<<" vidNum="<<vidNum<<endl;
if (vidTotal >= vidNum) {
isRecordingEnabled = false;
if (vidDelta > 0) {
fps = frameNum / vidDelta;
frameNum = 0;
}
// cout << "Recording completed fps=" << fps << endl;
if (isDisplayEnabled) {
writer = VideoWriter();
}
}
}
}
if (isImageCaptureEnabled) {
imgDelta = (sec - imgTime);
if (imgDelta >= imgInterval) {
writeImageFile(imgDir, frame, imgFmt, sec);
imgTime = sec;
imgTotal = imgTotal + 1;
if (imgTotal >= imgNum) {
isImageCaptureEnabled = false;
}
}
}
}
int main(int argc, char ** argv)
{
if (!parseArguments(argc, argv))
{
showHelp(argv[0], false);
return -1;
}
VideoCapture cap(GlobalArgs.deviceName);
if (!cap.isOpened())
{
cout << "Cannot find device " << GlobalArgs.deviceName << endl;
showHelp(argv[0], false);
return -1;
}
VideoWriter videoWriter;
Mat frame;
FocusState state = createInitialState();
bool focus = true;
bool lastSucceeded = true;
namedWindow(windowOriginal, 1);
// Get settings:
if (GlobalArgs.verbose)
{
if ((cap.get(CAP_PROP_GPHOTO2_WIDGET_ENUMERATE) == 0)
|| (cap.get(CAP_PROP_GPHOTO2_WIDGET_ENUMERATE) == -1))
{
// Some VideoCapture implementations can return -1, 0.
cout << "This is not GPHOTO2 device." << endl;
return -2;
}
cout << "List of camera settings: " << endl
<< (const char *) (intptr_t) cap.get(CAP_PROP_GPHOTO2_WIDGET_ENUMERATE)
<< endl;
cap.set(CAP_PROP_GPHOTO2_COLLECT_MSGS, true);
}
cap.set(CAP_PROP_GPHOTO2_PREVIEW, true);
cap.set(CAP_PROP_VIEWFINDER, true);
cap >> frame; // To check PREVIEW output Size.
if (GlobalArgs.output != NULL)
{
Size S = Size((int) cap.get(CAP_PROP_FRAME_WIDTH), (int) cap.get(CAP_PROP_FRAME_HEIGHT));
int fourCC = CV_FOURCC('M', 'J', 'P', 'G');
videoWriter.open(GlobalArgs.output, fourCC, GlobalArgs.fps, S, true);
if (!videoWriter.isOpened())
{
cerr << "Cannot open output file " << GlobalArgs.output << endl;
showHelp(argv[0], false);
return -1;
}
}
showHelp(argv[0], true); // welcome msg
if (GlobalArgs.minimumFocusStep == 0)
{
state.minFocusStep = findMinFocusStep(cap, FOCUS_STEP / 16, -FOCUS_DIRECTION_INFTY);
}
else
{
state.minFocusStep = GlobalArgs.minimumFocusStep;
}
focusDriveEnd(cap, -FOCUS_DIRECTION_INFTY); // Start with closest
char key = 0;
while (key != 'q' && key != 27 /*ESC*/)
{
cap >> frame;
if (frame.empty())
{
break;
}
if (GlobalArgs.output != NULL)
{
videoWriter << frame;
}
if (focus && !GlobalArgs.measure)
{
int stepToCorrect = correctFocus(lastSucceeded, state, rateFrame(frame));
lastSucceeded = cap.set(CAP_PROP_ZOOM,
max(stepToCorrect, state.minFocusStep) * state.direction);
if ((!lastSucceeded) || (stepToCorrect < state.minFocusStep))
{
if (--GlobalArgs.breakLimit <= 0)
{
focus = false;
state.step = state.minFocusStep * 4;
cout << "In focus, you can press 'f' to improve with small step, "
"or 'r' to reset." << endl;
}
}
else
{
GlobalArgs.breakLimit = DEFAULT_BREAK_LIMIT;
}
}
else if (GlobalArgs.measure)
{
double rate = rateFrame(frame);
if (!cap.set(CAP_PROP_ZOOM, state.minFocusStep))
{
if (--GlobalArgs.breakLimit <= 0)
{
break;
}
}
else
{
cout << rate << endl;
}
}
if ((focus || GlobalArgs.measure) && GlobalArgs.verbose)
{
cout << "STATE\t" << state << endl;
cout << "Output from camera: " << endl
<< (const char *) (intptr_t) cap.get(CAP_PROP_GPHOTO2_FLUSH_MSGS) << endl;
}
imshow(windowOriginal, frame);
switch (key = static_cast<char>(waitKey(30)))
{
case 'k': // focus out
cap.set(CAP_PROP_ZOOM, 100);
break;
case 'j': // focus in
cap.set(CAP_PROP_ZOOM, -100);
break;
case ',': // Drive to closest
focusDriveEnd(cap, -FOCUS_DIRECTION_INFTY);
break;
case '.': // Drive to infinity
focusDriveEnd(cap, FOCUS_DIRECTION_INFTY);
break;
case 'r': // reset focus state
focus = true;
state = createInitialState();
break;
case 'f': // focus switch on/off
focus ^= true;
break;
}
}
if (GlobalArgs.verbose)
{
cout << "Captured " << (int) cap.get(CAP_PROP_FRAME_COUNT) << " frames"
<< endl << "in " << (int) (cap.get(CAP_PROP_POS_MSEC) / 1e2)
<< " seconds," << endl << "at avg speed "
<< (cap.get(CAP_PROP_FPS)) << " fps." << endl;
}
return 0;
}
void constructGraph(const string outputLocation){
string line;
vector<string> stringVector;
string edgeWeightsTxtName = outputLocation + "/AllFaces/edgeWeights.txt";
int noOfVertices, vertexA, vertexB;
float edgeWeight;
vector< list < pair<int, float> > > adjacencyList;
int noOfVerticesLeft=0;
ifstream edgeWeightPtr(edgeWeightsTxtName.c_str());
// Open the file to read all the edge weights.
if(edgeWeightPtr.is_open()) {
// Line 1 contains, number of vertices.
if(getline(edgeWeightPtr, line)) {
try {
noOfVertices = lexical_cast<int>(line);
noOfVerticesLeft = noOfVertices;
}
catch(bad_lexical_cast const&) {
cout << "Error: input string was not valid" << endl;
}
}
list< pair<int, float> > val;
for(int i=0; i<noOfVertices; i++) {
adjacencyList.push_back( val );
}
// Read each edge weights.
while(getline(edgeWeightPtr, line)) {
//cout << line << endl;
split(stringVector, line, boost::is_any_of("-="));
// Adding edges and weights
try {
//cout << "Debug 00:: " << stringVector[0].c_str() << " " << stringVector[1].c_str() << " " << stringVector[2].c_str() << endl;
vertexA = lexical_cast<int>(stringVector[0].c_str());
vertexB = lexical_cast<int>(stringVector[1].c_str());
edgeWeight = lexical_cast<float>(stringVector[2].c_str());
}
catch(bad_lexical_cast const&) {
cout << "Error: input string was not valid" << endl;
}
// Fill in the adjacency list
//cout << "Debug 11:: Maybe here ::" << vertexA << " " << vertexB << " " << edgeWeight << "adjacencyList size:" << adjacencyList.size() << endl;
adjacencyList[vertexA].push_back(make_pair(vertexB, edgeWeight));
//cout << "Debug 22:: Maybe here" << endl;
adjacencyList[vertexB].push_back(make_pair(vertexA, edgeWeight));
}
}
else {
cout << "Couldn't open " << edgeWeightsTxtName << endl;
return;
}
// Traverse the graph
list<int> traverseList;
int currentVertex = 1, endVertex = 80, nextVertex;
traverseList.push_back(currentVertex);
nextVertex = findNextVertex(currentVertex, adjacencyList, noOfVerticesLeft);
cout << "Debug 44:: Next Vertex" << nextVertex << "adjacencyList size:" << adjacencyList.size() << endl;
int debugWhile = 0;
while((noOfVerticesLeft!=1) && (nextVertex != endVertex)){
cout << "Debug 55:: Inside while. Next Vertex:: " << nextVertex << " VerticesLeft:: " << noOfVerticesLeft << " debugWhile::" << debugWhile << endl;
traverseList.push_back(nextVertex);
currentVertex = nextVertex;
nextVertex = findNextVertex(currentVertex, adjacencyList, noOfVerticesLeft);
debugWhile++;
}
// Print the traverse route
cout << "Final traversal of Vertices and size" << traverseList.size() << endl;
for(list<int>::iterator it=traverseList.begin(); it!=traverseList.end(); it++) {
cout << *it << " - ";
}
cout << endl;
// Display the video
cout << "Expression animation" << endl;
string listOfFacesFileName = outputLocation + "/AllFaces/ListOfFaces.txt";
ifstream listOfFacesFileNameHandle(listOfFacesFileName.c_str());
vector<string> faceMap;
// Collect the mapping
cout << "Collecting the mapping" << endl;
if(listOfFacesFileNameHandle.is_open()) {
while(getline(listOfFacesFileNameHandle, line)) {
split(stringVector, line, boost::is_any_of(" "));
//cout << "DEBUG 66:: stringVector[0]=" << stringVector[0] << endl;
faceMap.push_back(stringVector[0]);
}
}
Mat faceMat, prevMat, midMat;
const char* EXPRESSION_DISPLAY = "Expressions";
namedWindow(EXPRESSION_DISPLAY, CV_WINDOW_AUTOSIZE);
// Display the traversed faces and make a video of the same
Size sizeT(200, 200);
const string NAME = "Animation.avi";
cout << "DEBUG 11: " << NAME << endl;
VideoWriter outputVideo;
//outputVideo.open( , -1, 20, sizeT, true);
outputVideo.open("/home/mallikarjun/Desktop/test1.avi", CV_FOURCC('D','I','V','X'), 5, Size (200, 200), true );
if (!outputVideo.isOpened())
{
perror("Could not open the output video for write");
}
/* Size sizeT(200, 200);
CvVideoWriter *writer = cvCreateVideoWriter(
"data4.avi",
CV_FOURCC('M','J','P','G'),
30,
sizeT);
cvNamedWindow("mainWin", CV_WINDOW_AUTOSIZE);
cvMoveWindow("mainWin", 200, 200);
*/
bool firstTime_bool = true;
cout << "Displaying the traversed faces" << endl;
for(list<int>::iterator it=traverseList.begin(); it!=traverseList.end(); it++) {
int faceNumber = *it;
//cout << "DEBUG 88:: faceMap[i]=" << faceMap[faceNumber] << endl;
string strTemp = outputLocation + "/AllFaces/Sample Set/" + faceMap[faceNumber];
//cout << "DEBUG 77:: strTemp=" << strTemp << endl;
//IplImage* img=cvLoadImage(strTemp.c_str());
faceMat = imread(strTemp.c_str(), CV_LOAD_IMAGE_COLOR);
if(!firstTime_bool){
addWeighted(prevMat, 0.5, faceMat, 0.5, 0, midMat, -1);
//putText(midMat, "Bridge Image", cvPoint(30,30), FONT_HERSHEY_COMPLEX_SMALL, 0.8, cvScalar(200,200,250), 1, CV_AA);
outputVideo << midMat;
putText(faceMat, faceMap[faceNumber].c_str(), cvPoint(30,30), FONT_HERSHEY_COMPLEX_SMALL, 0.8, cvScalar(200,200,250), 1, CV_AA);
outputVideo << faceMat;
}
else{
putText(faceMat, faceMap[faceNumber].c_str(), cvPoint(30,30), FONT_HERSHEY_COMPLEX_SMALL, 0.8, cvScalar(200,200,250), 1, CV_AA);
outputVideo << faceMat;
firstTime_bool = false;
}
prevMat = faceMat.clone();
//cvShowImage("mainWin", img );
//cvWriteFrame(writer,img);
imshow(EXPRESSION_DISPLAY, faceMat);
cvWaitKey(10);
}
//cvReleaseVideoWriter(&writer);
}
int main(int argc, char** argv ){
//init capture devices
cap0 = ConfigVideoCapture(cap0dev);
cap1 = ConfigVideoCapture(cap1dev);
namedWindow("cap0",WINDOW_NORMAL);
namedWindow("cap1",WINDOW_NORMAL);
outputVideocap0.open("RecoredVideo/Cam0.avi",CV_FOURCC('M', 'J', 'P', 'G'),11,Size(720,960),true);
outputVideocap1.open("RecoredVideo/Cam1.avi",CV_FOURCC('M', 'J', 'P', 'G'),11,Size(720,960),true);
if (!outputVideocap0.isOpened() || !outputVideocap1.isOpened())
{
printf("Output video could not be opened\n");
return 0;
}
if (!cap0.isOpened() || !cap1.isOpened()){
printf("Output video could not be opened\n");
return 0;
}
//record video
printf("Starting to record video... \n(Press 'c'-key to stop)\n");
fflush(stdout);
for(;;){
clock_t begin = clock();
thread Grab0(threadGrab0);
thread Grab1(threadGrab1);
Grab0.join();
Grab1.join();
char c = (char)waitKey(1);
if( c == 'c')
break;
clock_t end = clock();
double elapsed_secs = double(end - begin) / CLOCKS_PER_SEC;
double fps = 1.0/elapsed_secs;
printf("FPS: %f (Press 'c'-key to stop)\n",fps);
fflush(stdout);
}
printf("Writeing video to harddrive...");
fflush(stdout);
for(Mat img : leftImgs)
{
outputVideocap0.write(img);
}
for(Mat img : rightImgs)
{
outputVideocap1.write(img);
}
outputVideocap0.release();
outputVideocap1.release();
printf(" done\n");
fflush(stdout);
return 0;
}
int main(int argc, char** argv)
{
CommandLineParser parser(argc, argv, params);
if (parser.get<bool>("help"))
{
cout << about << endl;
parser.printMessage();
return 0;
}
String modelConfiguration = parser.get<string>("proto");
String modelBinary = parser.get<string>("model");
//! [Initialize network]
dnn::Net net = readNetFromCaffe(modelConfiguration, modelBinary);
//! [Initialize network]
if (parser.get<bool>("opencl"))
{
net.setPreferableTarget(DNN_TARGET_OPENCL);
}
if (net.empty())
{
cerr << "Can't load network by using the following files: " << endl;
cerr << "prototxt: " << modelConfiguration << endl;
cerr << "caffemodel: " << modelBinary << endl;
cerr << "Models can be downloaded here:" << endl;
cerr << "https://github.com/chuanqi305/MobileNet-SSD" << endl;
exit(-1);
}
VideoCapture cap;
if (parser.get<String>("video").empty())
{
int cameraDevice = parser.get<int>("camera_device");
cap = VideoCapture(cameraDevice);
if(!cap.isOpened())
{
cout << "Couldn't find camera: " << cameraDevice << endl;
return -1;
}
}
else
{
cap.open(parser.get<String>("video"));
if(!cap.isOpened())
{
cout << "Couldn't open image or video: " << parser.get<String>("video") << endl;
return -1;
}
}
Size inVideoSize;
inVideoSize = Size((int) cap.get(CV_CAP_PROP_FRAME_WIDTH), //Acquire input size
(int) cap.get(CV_CAP_PROP_FRAME_HEIGHT));
Size cropSize;
if (inVideoSize.width / (float)inVideoSize.height > WHRatio)
{
cropSize = Size(static_cast<int>(inVideoSize.height * WHRatio),
inVideoSize.height);
}
else
{
cropSize = Size(inVideoSize.width,
static_cast<int>(inVideoSize.width / WHRatio));
}
Rect crop(Point((inVideoSize.width - cropSize.width) / 2,
(inVideoSize.height - cropSize.height) / 2),
cropSize);
VideoWriter outputVideo;
outputVideo.open(parser.get<String>("out") ,
static_cast<int>(cap.get(CV_CAP_PROP_FOURCC)),
cap.get(CV_CAP_PROP_FPS), cropSize, true);
for(;;)
{
Mat frame;
cap >> frame; // get a new frame from camera/video or read image
if (frame.empty())
{
waitKey();
break;
}
if (frame.channels() == 4)
cvtColor(frame, frame, COLOR_BGRA2BGR);
//! [Prepare blob]
Mat inputBlob = blobFromImage(frame, inScaleFactor,
Size(inWidth, inHeight), meanVal, false); //Convert Mat to batch of images
//! [Prepare blob]
//! [Set input blob]
net.setInput(inputBlob, "data"); //set the network input
//! [Set input blob]
//! [Make forward pass]
Mat detection = net.forward("detection_out"); //compute output
//! [Make forward pass]
vector<double> layersTimings;
double freq = getTickFrequency() / 1000;
double time = net.getPerfProfile(layersTimings) / freq;
Mat detectionMat(detection.size[2], detection.size[3], CV_32F, detection.ptr<float>());
frame = frame(crop);
ostringstream ss;
if (!outputVideo.isOpened())
{
ss << "FPS: " << 1000/time << " ; time: " << time << " ms";
putText(frame, ss.str(), Point(20,20), 0, 0.5, Scalar(0,0,255));
}
else
cout << "Inference time, ms: " << time << endl;
float confidenceThreshold = parser.get<float>("min_confidence");
for(int i = 0; i < detectionMat.rows; i++)
{
float confidence = detectionMat.at<float>(i, 2);
if(confidence > confidenceThreshold)
{
size_t objectClass = (size_t)(detectionMat.at<float>(i, 1));
int xLeftBottom = static_cast<int>(detectionMat.at<float>(i, 3) * frame.cols);
int yLeftBottom = static_cast<int>(detectionMat.at<float>(i, 4) * frame.rows);
int xRightTop = static_cast<int>(detectionMat.at<float>(i, 5) * frame.cols);
int yRightTop = static_cast<int>(detectionMat.at<float>(i, 6) * frame.rows);
ss.str("");
ss << confidence;
String conf(ss.str());
Rect object((int)xLeftBottom, (int)yLeftBottom,
(int)(xRightTop - xLeftBottom),
(int)(yRightTop - yLeftBottom));
rectangle(frame, object, Scalar(0, 255, 0));
String label = String(classNames[objectClass]) + ": " + conf;
int baseLine = 0;
Size labelSize = getTextSize(label, FONT_HERSHEY_SIMPLEX, 0.5, 1, &baseLine);
rectangle(frame, Rect(Point(xLeftBottom, yLeftBottom - labelSize.height),
Size(labelSize.width, labelSize.height + baseLine)),
Scalar(255, 255, 255), CV_FILLED);
putText(frame, label, Point(xLeftBottom, yLeftBottom),
FONT_HERSHEY_SIMPLEX, 0.5, Scalar(0,0,0));
}
}
if (outputVideo.isOpened())
outputVideo << frame;
imshow("detections", frame);
if (waitKey(1) >= 0) break;
}
return 0;
} // main
int main(int argc, char** argv) {
/* the input and output dir */
string input_dir = "/home/user/ccv/data/sunny_day-img-left";
/* initialize the ccv states */
ccv_enable_default_cache();
ccv_dpm_mixture_model_t* model = ccv_dpm_read_mixture_model(argv[1]);
/* set the pedestrian detection parameters */
ccv_dpm_param_t myparameters;
myparameters.threshold = 0.4;
myparameters.interval = 8;
myparameters.min_neighbors = 1;
myparameters.flags = 0;
/* debug */
string source = "/home/user/ccv/demo1.avi";
VideoCapture inputVideo(source); // Open input
if (!inputVideo.isOpened()) {
cout << "Could not open the input video: " << source << endl;
return -1;
}
int ex = static_cast<int>(inputVideo.get(CV_CAP_PROP_FOURCC)); // Get Codec Type- Int form
cout<<"The coding is "<<ex<<endl;
cout<<"The fps is "<<inputVideo.get(CV_CAP_PROP_FPS)<<endl;
/* initialize the video writer */
Mat getSize = imread(input_dir + "/image_00000100_0.png");
Size videoSize = getSize.size();
getSize.release();
VideoWriter outputVideo;
outputVideo.open("/home/user/ccv/data/output/eth2_reg_overlaps.avi", ex, fps, videoSize, true);
if (!outputVideo.isOpened()) {
cout<<"Could not open the output video"<<endl;
return false;
}
/* process one by one */
for (int iImage = imageStart; iImage <= imageEnd; iImage++) {
/* read the image, ccv_image for detection, and opencv Mat for recording */
string imageTail;
if (iImage < 10) imageTail = "0000000" + patch::to_string(iImage);
else if (iImage < 100) imageTail = "000000" + patch::to_string(iImage);
else imageTail = "00000" + patch::to_string(iImage);
string image_name = input_dir + "/image_" + imageTail + "_0.png";
ccv_dense_matrix_t* image = 0;
ccv_read(image_name.c_str(), &image, CCV_IO_ANY_FILE);
Mat plot_result = imread(image_name);
if (image == 0) cerr<<"The reading of dataset failed!"<<endl;
cout<<"Image succussfully read"<<endl;
/* processing the image one by one */
unsigned int elapsed_time = get_current_time();
ccv_array_t* seq = ccv_dpm_detect_objects(image, &model, 1, myparameters);
elapsed_time = get_current_time() - elapsed_time;
cout<<"Using "<<elapsed_time<<"ms on detecting the "<<iImage<<"th image"<<endl;
if (seq != NULL) {
/* get the overlaps */
bool* flag = new bool[seq->rnum];
for (int i = 0; i < seq->rnum; i++) flag[i] = true;
for (int i = 0; i < seq->rnum; i++) {
for (int j = 0; i < seq->rnum; i++) {
/* a bigger area */
ccv_root_comp_t* comp1 = (ccv_root_comp_t*)ccv_array_get(seq, i); /* get the ith number */
ccv_root_comp_t* comp2 = (ccv_root_comp_t*)ccv_array_get(seq, j); /* get the jth number */
float dx1 = comp1->rect.x - comp2->rect.x;
float dx2 = comp1->rect.x + comp1->rect.width - comp2->rect.x + comp2->rect.width;
if (abs(dx1) / comp1->rect.width < 0.2 && abs(dx2) / comp2->rect.width < 0.2 &&
abs(dx1) / comp2->rect.width < 0.2 && abs(dx2) / comp1->rect.width < 0.2 &&
get_overlaps(comp1, comp2) > 0.5) {
rectangle(plot_result,
cv::Point(int(min(comp1->rect.x, comp2->rect.x)), int(min(comp1->rect.y, comp2->rect.y))),
cv::Point(int(max(comp1->rect.x + comp1->rect.width, comp2->rect.x + comp2->rect.width)),
int(max(comp1->rect.y + comp1->rect.height, comp2->rect.y + comp2->rect.height))),
cvScalar(255, 0, 0), 2, 8, 0);
}
}
}
/* the detection has something to say */
for (int i = 0; i < seq->rnum; i++) {
ccv_root_comp_t* comp = (ccv_root_comp_t*)ccv_array_get(seq, i); /* get the ith number */
/* a simple regression trick */
float predHeight = ((float)videoSize.height / 2 - comp->rect.y) * 2 + 10;
if (predHeight - comp->rect.height > predHeight * 0.5) {
rectangle(plot_result,
cv::Point(int(comp->rect.x), int(comp->rect.y)),
cv::Point(int(comp->rect.x + comp->rect.width), int(comp->rect.y + comp->rect.height)),
cvScalar(0, 0, 255), 2, 8, 0);
} else{
rectangle(plot_result,
cv::Point(int(comp->rect.x), int(comp->rect.y)),
cv::Point(int(comp->rect.x + comp->rect.width), int(comp->rect.y + comp->rect.height)),
cvScalar(0, 255, 0), 2, 8, 0);
}
}
ccv_array_free(seq); /* release the sequence */
}
outputVideo << plot_result;
/* free the images */
ccv_matrix_free(image);
plot_result.release();
}
outputVideo.release();
ccv_drain_cache();
ccv_dpm_mixture_model_free(model);
return 0;
}
int main(int argc, const char* argv[])
{
useOclChanged = false;
CommandLineParser cmd(argc, argv,
"{ v video | | Input video }"
"{ o output | | Output video }"
"{ s scale | 4 | Scale factor }"
"{ i iterations | 180 | Iteration count }"
"{ t temporal | 4 | Radius of the temporal search area }"
"{ f flow | farneback | Optical flow algorithm (farneback, simple, tvl1, brox, pyrlk) }"
"{ g | false | CPU as default device, cuda for CUDA and ocl for OpenCL }"
"{ h help | false | Print help message }"
);
if (cmd.get<bool>("help"))
{
cout << "This sample demonstrates Super Resolution algorithms for video sequence" << endl;
cmd.printMessage();
return 0;
}
const string inputVideoName = cmd.get<string>("video");
const string outputVideoName = cmd.get<string>("output");
const int scale = cmd.get<int>("scale");
const int iterations = cmd.get<int>("iterations");
const int temporalAreaRadius = cmd.get<int>("temporal");
const string optFlow = cmd.get<string>("flow");
string gpuOption = cmd.get<string>("gpu");
std::transform(gpuOption.begin(), gpuOption.end(), gpuOption.begin(), ::tolower);
bool useCuda = false;
bool useOcl = false;
if(gpuOption.compare("ocl") == 0)
useOcl = true;
else if(gpuOption.compare("cuda") == 0)
useCuda = true;
#ifndef HAVE_OPENCV_OCL
if(useOcl)
{
{
cout<<"OPENCL is not compiled\n";
return 0;
}
}
#endif
#if defined(HAVE_OPENCV_OCL)
if(useCuda)
{
CV_Assert(!useOcl);
}
#endif
Ptr<SuperResolution> superRes;
#if defined(HAVE_OPENCV_OCL)
if(useOcl)
{
Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow);
if (of.empty())
exit(-1);
if(useOclChanged)
{
superRes = createSuperResolution_BTVL1();
useOcl = !useOcl;
}else
superRes = createSuperResolution_BTVL1_OCL();
superRes->set("opticalFlow", of);
}
else
#endif
{
if (useCuda)
superRes = createSuperResolution_BTVL1_CUDA();
else
superRes = createSuperResolution_BTVL1();
Ptr<DenseOpticalFlowExt> of = createOptFlow(optFlow, useCuda);
if (of.empty())
exit(-1);
superRes->set("opticalFlow", of);
}
superRes->set("scale", scale);
superRes->set("iterations", iterations);
superRes->set("temporalAreaRadius", temporalAreaRadius);
Ptr<FrameSource> frameSource;
if (useCuda)
{
// Try to use gpu Video Decoding
try
{
frameSource = createFrameSource_Video_CUDA(inputVideoName);
Mat frame;
frameSource->nextFrame(frame);
}
catch (const cv::Exception&)
{
frameSource.release();
}
}
if (!frameSource)
frameSource = createFrameSource_Video(inputVideoName);
// skip first frame, it is usually corrupted
{
Mat frame;
frameSource->nextFrame(frame);
cout << "Input : " << inputVideoName << " " << frame.size() << endl;
cout << "Scale factor : " << scale << endl;
cout << "Iterations : " << iterations << endl;
cout << "Temporal radius : " << temporalAreaRadius << endl;
cout << "Optical Flow : " << optFlow << endl;
#if defined(HAVE_OPENCV_OCL)
cout << "Mode : " << (useCuda ? "CUDA" : useOcl? "OpenCL" : "CPU") << endl;
#else
cout << "Mode : " << (useCuda ? "CUDA" : "CPU") << endl;
#endif
}
superRes->setInput(frameSource);
VideoWriter writer;
for (int i = 0;; ++i)
{
cout << '[' << setw(3) << i << "] : ";
Mat result;
#if defined(HAVE_OPENCV_OCL)
cv::ocl::oclMat result_;
if(useOcl)
{
MEASURE_TIME(superRes->nextFrame(result_));
}
else
#endif
{
MEASURE_TIME(superRes->nextFrame(result));
}
#ifdef HAVE_OPENCV_OCL
if(useOcl)
{
if(!result_.empty())
{
result_.download(result);
}
}
#endif
if (result.empty())
break;
imshow("Super Resolution", result);
if (waitKey(1000) > 0)
break;
if (!outputVideoName.empty())
{
if (!writer.isOpened())
writer.open(outputVideoName, VideoWriter::fourcc('X', 'V', 'I', 'D'), 25.0, result.size());
writer << result;
}
}
return 0;
}
int main(int argc, char* argv[])
{
koordinate.open("F:/TRAKASNIMCI/log.txt",fstream::app);
//pauza i resume koda
bool pause = false;
//kalibracija boja
bool calibrationMode = true;
//UPUTSTVO
cout<<"CONTROLS\n";
cout<<"************************************\n";
cout<<"Press C to reset UKUPNO and SVI \n";
cout<<"Press P to pause program \n";
cout<<"************************************\n";
cout<<"Press M to enter manual record mode\n";
cout<<"Press A to return to automatic record mode \n";
cout<<"Press N to start new record \n";
cout<<"************************************\n";
cout<<"Current record mode > AUTOMATIC\n";
cout<<"************************************\n";
//Matrix to store each frame of the webcam feed
Mat cameraFeed;
Mat threshold;
Mat HSV;
capture.open(0);
if(calibrationMode){
//kreiraj slajdere na treshold prozoru
createTrackbars();
} else {
//kreiraj slajdere na glavnom prozoru pokretna traka
trackbarWaitkey();
}
capture.set(CV_CAP_PROP_FRAME_WIDTH,FRAME_WIDTH);
capture.set(CV_CAP_PROP_FRAME_HEIGHT,FRAME_HEIGHT);
//Video writer
VideoWriter oVideoWriter;//create videoWriter object, not initialized yet
double dWidth = capture.get(CV_CAP_PROP_FRAME_WIDTH); //get the width of frames of the video
double dHeight = capture.get(CV_CAP_PROP_FRAME_HEIGHT); //get the height of frames of the video
//set framesize for use with videoWriter
Size frameSize(static_cast<int>(dWidth), static_cast<int>(dHeight));
if(!capture.isOpened()){
cout<<"GRESKA PRILIKOM PREUZIMANJA VIDEA\n";
getchar();
return -1;
}
Objekat crven("crven"), zelen("zelen"), zut("zut"), plav("plav");
//start an infinite loop where webcam feed is copied to cameraFeed matrix
//all of our operations will be performed within this loop
while(1){
//store image to matrix
capture.read(cameraFeed);
//convert frame from BGR to HSV colorspace
cvtColor(cameraFeed,HSV,COLOR_BGR2HSV);
if(calibrationMode==true){
//if in calibration mode, we track objects based on the HSV slider values.
inRange(HSV,Scalar(H_MIN,S_MIN,V_MIN),Scalar(H_MAX,S_MAX,V_MAX),threshold);
morphOps(threshold);
imshow(thresholdWindow,threshold);
trackFilteredObject(threshold,HSV,cameraFeed);
} else {
//crni kvadrat
rectangle(cameraFeed,Point(200,380),Point(650,460),crBoja,-1);
//crvene
inRange(HSV,crven.getHSVmin(),crven.getHSVmax(),threshold);
//morphOps(threshold);
trackFilteredObject(crven,threshold,HSV,cameraFeed);
//zute
inRange(HSV,zut.getHSVmin(),zut.getHSVmax(),threshold);
//morphOps(threshold);
trackFilteredObject(zut,threshold,HSV,cameraFeed);
//zelene
inRange(HSV,zelen.getHSVmin(),zelen.getHSVmax(),threshold);
//morphOps(threshold);
trackFilteredObject(zelen,threshold,HSV,cameraFeed);
//plave
inRange(HSV,plav.getHSVmin(),plav.getHSVmax(),threshold);
//morphOps(threshold);
trackFilteredObject(plav,threshold,HSV,cameraFeed);
line(cameraFeed,Point(xMIN,0),Point(xMIN,480),crBoja,2,8,0);
line(cameraFeed,Point(xMAX,0),Point(xMAX,480),beBoja,2,8,0);
//ISPIS DATUMA I VREMENA
rectangle(cameraFeed,Point(0,460),Point(200,480),beBoja,-1);
putText(cameraFeed,getDateTime(),Point(0,480),1,1,Scalar(0,0,0),2);
//ukupno crvenih
putText(cameraFeed,"UKUPNO",cv::Point(200,440),1,1,cBoja);
putText(cameraFeed,intToString(cr.size()),cv::Point(200,460),1,1,cBoja);
//ukupno zelenih
putText(cameraFeed,"UKUPNO",cv::Point(300,440),1,1,zeBoja);
putText(cameraFeed,intToString(ze.size()),cv::Point(300,460),1,1,zeBoja);
//ukupno zutih
putText(cameraFeed,"UKUPNO",cv::Point(400,440),1,1,zuBoja);
putText(cameraFeed,intToString(zu.size()),cv::Point(400,460),1,1,zuBoja);
//ukupno plavih
putText(cameraFeed,"UKUPNO",cv::Point(500,440),1,1,pBoja);
putText(cameraFeed,intToString(pl.size()),cv::Point(500,460),1,1,pBoja);
//ukupno svi
putText(cameraFeed,"SVI",cv::Point(600,440),1,1,beBoja);
putText(cameraFeed,intToString(pl.size()+cr.size()+ze.size()+zu.size()),cv::Point(600,460),1,1,beBoja);
}
if(startRecording == true) {
oVideoWriter = VideoWriter("F:/TRAKASNIMCI/Video"+intToString(inc)+".avi", CV_FOURCC('D', 'I', 'V', '3'), 15, frameSize, true); //initialize the VideoWriter object
cout<<"New video file created F:/TRAKASNIMCI/Video"+intToString(inc)+".avi "<<endl;
startRecording = false;
if ( !oVideoWriter.isOpened() ) //if not initialize the VideoWriter successfully, exit the program
{
cout << "ERROR: Failed to initialize video writing" << endl;
getchar();
return -1;
}
}
//automatsko snimanje
if(manualRecordingMode == false) {
if(recording) {
oVideoWriter.write(cameraFeed);
//show "REC" in top left corner in red
//be sure to do this AFTER you write to the file so that "REC" doesn't show up
//on the recorded video.
putText(cameraFeed,"REC",Point(0,60),1,2,Scalar(0,0,255),2);
}
}
//manualno snimanje
if(manualRecordingMode == true) {
if(recordingM) {
oVideoWriter.write(cameraFeed);
//show "REC" in top left corner in red
//be sure to do this AFTER you write to the file so that "REC" doesn't show up
//on the recorded video.
putText(cameraFeed,"mREC",Point(0,60),1,2,Scalar(0,0,255),2);
}
}
//prikaz videa
imshow(originalWindow,cameraFeed);
//imshow(hsvWindow,HSV);
//imshow(thresholdWindow,threshold);
//KONTROLA
switch(waitKey(milisek)){
case 27: //'esc' key has been pressed, exit program.
return 0;
case 112: //'p' has been pressed. this will pause/resume the code.
pause = !pause;
if(pause == true){ cout<<"Code paused, press 'p' again to resume\n";
cout<<"****************************************\n";
while (pause == true){
//stay in this loop until
switch (waitKey()){
//a switch statement inside a switch statement? Mind blown.
case 112:
//change pause back to false
pause = false;
cout<<"Code Resumed\n"<<endl;
cout<<"****************************************\n";
break;
}
}
case 114:
//'r' has been pressed.
//toggle recording mode
if(manualRecordingMode) {
recordingM = true;
cout << "Recording Started\n" << endl;
cout<<"****************************************\n";
}
break;
case 115:
//'s' has been pressed.
//toggle recording mode
if(manualRecordingMode) {
recordingM = false;
cout << "Recording Stopped, press R to continue recording to"<< "Video"<<intToString(inc)
<< "\n or press N to save current video and start recording new video\n";
cout<<"****************************************\n";
}
break;
case 99:
//'c' has been pressed
cr.clear();
ze.clear();
zu.clear();
pl.clear();
cout<<"Counters reseted\n";
cout<<"****************************************\n";
break;
case 109:
//'m' has been pressed
//Manual recording
manualRecordingMode = true;
cout << "Manual recording mode \n New Video recording started, press R to record\n" << endl;
cout<<"****************************************\n";
//increment video file name
inc+=1;
break;
case 97:
manualRecordingMode = false;
cout<<" Automatic recording mode \n";
cout<<"****************************************\n";
break;
case 110:
//'n' has been pressed
//start new video file
startRecording = true;
cout<<"NOW RECORDING \n";
cout<<"****************************************\n";
//increment video file name
inc+=1;
break;
}
}
}
capture.release();
koordinate.close();
return 0;
}
int main( int argc, const char** argv )
{
VideoCapture cap;
Rect trackWindow;
int hsize = 16;
float hranges[] = {0,180};
const float* phranges = hranges;
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
return 0;
}
int camNum = parser.get<int>(0);
cap.open(camNum);
if( !cap.isOpened() )
{
help();
cout << "***Could not initialize capturing...***\n";
cout << "Current parameter's value: \n";
parser.printMessage();
return -1;
}
Size S = Size((int) cap.get(CV_CAP_PROP_FRAME_WIDTH), // Acquire input size
(int) cap.get(CV_CAP_PROP_FRAME_HEIGHT));
VideoWriter videoStream;
videoStream.open("./VirtualPiano.mp4", -1, cap.get(CV_CAP_PROP_FPS), S, true);
if (!videoStream.isOpened())
{
cout << "Could not open the output video." << endl;
return -1;
}
cout << hot_keys;
//namedWindow( "Histogram", 0 );
namedWindow( "VirtualPiano", 0 );
resizeWindow( "VirtualPiano", WINDOW_WIDTH, WINDOW_HEIGHT);
setMouseCallback( "VirtualPiano", onMouse, 0 );
//createTrackbar( "Vmin", "CamShift Demo", &vmin, 256, 0 );
//createTrackbar( "Vmax", "CamShift Demo", &vmax, 256, 0 );
//createTrackbar( "Smin", "CamShift Demo", &smin, 256, 0 );
Mat frame, hsv, hue, mask, hist, histimg = Mat::zeros(200, 320, CV_8UC3), backproj;
RotatedRect trackBox;
bool paused = false;
for(;;)
{
if( !paused )
{
cap >> frame;
if( frame.empty() )
break;
}
frame.copyTo(image);
Mat flippedImage;
flip(image, flippedImage, 1);
image = flippedImage;
if( !paused )
{
cvtColor(image, hsv, COLOR_BGR2HSV);
if( trackObject )
{
int _vmin = vmin, _vmax = vmax;
inRange(hsv, Scalar(0, smin, MIN(_vmin,_vmax)),
Scalar(180, 256, MAX(_vmin, _vmax)), mask);
int ch[] = {0, 0};
hue.create(hsv.size(), hsv.depth());
mixChannels(&hsv, 1, &hue, 1, ch, 1);
if( trackObject < 0 )
{
Mat roi(hue, selection), maskroi(mask, selection);
calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);
normalize(hist, hist, 0, 255, NORM_MINMAX);
trackWindow = selection;
trackObject = 1;
histimg = Scalar::all(0);
int binW = histimg.cols / hsize;
Mat buf(1, hsize, CV_8UC3);
for( int i = 0; i < hsize; i++ )
buf.at<Vec3b>(i) = Vec3b(saturate_cast<uchar>(i*180./hsize), 255, 255);
cvtColor(buf, buf, COLOR_HSV2BGR);
for( int i = 0; i < hsize; i++ )
{
int val = saturate_cast<int>(hist.at<float>(i)*histimg.rows/255);
rectangle( histimg, Point(i*binW,histimg.rows),
Point((i+1)*binW,histimg.rows - val),
Scalar(buf.at<Vec3b>(i)), -1, 8 );
}
}
calcBackProject(&hue, 1, 0, hist, backproj, &phranges);
backproj &= mask;
trackBox = CamShift(backproj, trackWindow,
TermCriteria( TermCriteria::EPS | TermCriteria::COUNT, 10, 1 ));
if( trackWindow.area() <= 1 )
{
int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) + 5)/6;
trackWindow = Rect(trackWindow.x - r, trackWindow.y - r,
trackWindow.x + r, trackWindow.y + r) &
Rect(0, 0, cols, rows);
}
if( backprojMode )
cvtColor( backproj, image, COLOR_GRAY2BGR );
ellipse( image, trackBox, Scalar(0,0,255), 3, LINE_AA );
}
}
else if( trackObject < 0 )
paused = false;
if( selectObject && selection.width > 0 && selection.height > 0 )
{
Mat roi(image, selection);
bitwise_not(roi, roi);
}
Size size = image.size();
int thickness;
for(int x = 0; x < NOTES_IN_ROW; ++x){
for(int y = 0; y < NOTES_IN_COLUMN; ++y){
Rect rect(Point(x*size.width/NOTES_IN_ROW, y*size.height/NOTES_IN_COLUMN), Point( (x+1)*size.width/NOTES_IN_ROW,(y+1)*size.height/NOTES_IN_COLUMN));
if ( rect.contains(trackBox.center) && trackObject){
thickness = -1;
}
else{
thickness = 1;
}
rectangle(image, rect, NOTE_COLORS[x*NOTES_IN_ROW + y], thickness, 8);
}
}
imshow( "VirtualPiano", image);
videoStream.write( image);
//imshow( "Histogram", histimg );
char c = (char)waitKey(10);
if( c == 27 ){
break;
}
switch(c)
{
case 'b':
backprojMode = !backprojMode;
break;
case 'c':
trackObject = 0;
histimg = Scalar::all(0);
break;
case 'h':
showHist = !showHist;
if( !showHist )
destroyWindow( "Histogram" );
else
namedWindow( "Histogram", 1 );
break;
case 'p':
paused = !paused;
break;
default:
;
}
}
int main(){
//set recording and startNewRecording initially to false.
bool recording = false;
bool startNewRecording = false;
int inc=0;
bool firstRun = true;
//if motion is detected in the video feed, we will know to start recording.
bool motionDetected = false;
//pause and resume code (if needed)
bool pause = false;
//set debug mode and trackingenabled initially to false
//these can be toggled using 'd' and 't'
debugMode = false;
trackingEnabled = true;
//set up the matrices that we will need
//the two frames we will be comparing
Mat frame1,frame2;
//their grayscale images (needed for absdiff() function)
Mat grayImage1,grayImage2;
//resulting difference image
Mat differenceImage;
//thresholded difference image (for use in findContours() function)
Mat thresholdImage;
//video capture object.
VideoCapture capture;
capture.open(0);
VideoWriter oVideoWriter;//create videoWriter object, not initialized yet
double dWidth = capture.get(CV_CAP_PROP_FRAME_WIDTH); //get the width of frames of the video
double dHeight = capture.get(CV_CAP_PROP_FRAME_HEIGHT); //get the height of frames of the video
//set framesize for use with videoWriter
Size frameSize(static_cast<int>(dWidth), static_cast<int>(dHeight));
if(!capture.isOpened()){
cout<<"ERROR ACQUIRING VIDEO FEED\n";
getchar();
return -1;
}
while(1){
//read first frame
capture.read(frame1);
//convert frame1 to gray scale for frame differencing
cv::cvtColor(frame1,grayImage1,COLOR_BGR2GRAY);
//copy second frame
capture.read(frame2);
//convert frame2 to gray scale for frame differencing
cv::cvtColor(frame2,grayImage2,COLOR_BGR2GRAY);
//perform frame differencing with the sequential images. This will output an "intensity image"
//do not confuse this with a threshold image, we will need to perform thresholding afterwards.
cv::absdiff(grayImage1,grayImage2,differenceImage);
//threshold intensity image at a given sensitivity value
cv::threshold(differenceImage,thresholdImage,SENSITIVITY_VALUE,255,THRESH_BINARY);
if(debugMode==true){
//show the difference image and threshold image
cv::imshow("Difference Image",differenceImage);
cv::imshow("Threshold Image", thresholdImage);
}else{
//if not in debug mode, destroy the windows so we don't see them anymore
cv::destroyWindow("Difference Image");
cv::destroyWindow("Threshold Image");
}
//blur the image to get rid of the noise. This will output an intensity image
cv::blur(thresholdImage,thresholdImage,cv::Size(BLUR_SIZE,BLUR_SIZE));
//threshold again to obtain binary image from blur output
cv::threshold(thresholdImage,thresholdImage,SENSITIVITY_VALUE,255,THRESH_BINARY);
if(debugMode==true){
//show the threshold image after it's been "blurred"
imshow("Final Threshold Image",thresholdImage);
}
else {
//if not in debug mode, destroy the windows so we don't see them anymore
cv::destroyWindow("Final Threshold Image");
}
//if tracking enabled, search for Motion
if(trackingEnabled){
//check for motion in the video feed
//the detectMotion function will return true if motion is detected, else it will return false.
//set motionDetected boolean to the returned value.
motionDetected = detectMotion(thresholdImage,frame1);
}else{
//reset our variables if tracking is disabled
motionDetected = false;
}
////////////**STEP 1**//////////////////////////////////////////////////////////////////////////////////////////////////////////////
//draw time stamp to video in bottom left corner. We draw it before we write so that it is written on the video file.
//if we're in recording mode, write to file
if(recording){
//check if it's our first time running the program so that we don't create a new video file over and over again.
//we use the same boolean check to create a new recording if we want.
if(firstRun == true || startNewRecording == true){
//////////**STEP 3**///////////////////////////////////////////////////////////////////////////////////////////////////////////////
//Create a unique filename for each video based on the date and time the recording has started
string videoFileName = "D:/MyVideo"+intToString(inc)+".avi";
cout << "File has been opened for writing: " << videoFileName<<endl;
cout << "Frame Size = " << dWidth << "x" << dHeight << endl;
oVideoWriter = VideoWriter(videoFileName, CV_FOURCC('D', 'I', 'V', '3'), 20, frameSize, true);
if ( !oVideoWriter.isOpened() )
{
cout << "ERROR: Failed to initialize video writing" << endl;
getchar();
return -1;
}
//reset our variables to false.
firstRun = false;
startNewRecording = false;
}
oVideoWriter.write(frame1);
//show "REC" in top left corner in red
//be sure to do this AFTER you write to the file so that "REC" doesn't show up on the recorded video file.
//Cut and paste the following line above "oVideoWriter.write(frame1)" to see what I'm talking about.
putText(frame1,"REC",Point(0,60),2,2,Scalar(0,0,255),2);
}
//check if motion is detected in the video feed.
if(motionDetected){
//show "MOTION DETECTED" in bottom left corner in green
putText(frame1,"MOTION DETECTED",cv::Point(0,420),2,2,cv::Scalar(0,255,0));
//////////**STEP 2**///////////////////////////////////////////////////////////////////////////////////////////////////////////////
//set recording to true since there is motion in the video feed.
//else recording should be false.
}
//show our captured frame
imshow("Frame1",frame1);
//check to see if a button has been pressed.
//the 30ms delay is necessary for proper operation of this program
//if removed, frames will not have enough time to referesh and a blank image will appear.
switch(waitKey(30)){
case 27: //'esc' key has been pressed, exit program.
return 0;
case 116: //'t' has been pressed. this will toggle tracking (disabled for security cam)
/*trackingEnabled = !trackingEnabled;
if(trackingEnabled == false) cout<<"Tracking disabled."<<endl;
else cout<<"Tracking enabled."<<endl;*/
break;
case 100: //'d' has been pressed. this will debug mode
debugMode = !debugMode;
if(debugMode == false) cout<<"Debug mode disabled."<<endl;
else cout<<"Debug mode enabled."<<endl;
break;
case 112: //'p' has been pressed. this will pause/resume the code.
pause = !pause;
if(pause == true){ cout<<"Code paused, press 'p' again to resume"<<endl;
while (pause == true){
//stay in this loop until
switch (waitKey()){
//a switch statement inside a switch statement? Mind blown.
case 112:
//change pause back to false
pause = false;
cout<<"Code Resumed"<<endl;
break;
}
}
}
case 114:
//'r' has been pressed.
//toggle recording mode
recording =!recording;
if (!recording)cout << "Recording Stopped" << endl;
else cout << "Recording Started" << endl;
break;
case 110:
//'n' has been pressed
//start new video file
startNewRecording = true;
recording = true;
cout << "New Recording Started" << endl;
//increment video file name
inc+=1;
break;
}
}
return 0;
}
int main(int argc,char** argv){
int houghVote = 100;
Mat src1;
//cout<<"linenumber="<<linenumber;
float rho_values[linenumber];
float theta_values[linenumber];
Mat src,contours,contoursInv,ortho,H;
float theta_max = 1000000;
float theta_min = -1000000;
float rho_min,rho_max;
//VideoCapture capture(1);
VideoCapture capture(1);
namedWindow("ortho", CV_WINDOW_AUTOSIZE);
double dWidth = capture.get(CV_CAP_PROP_FRAME_WIDTH); //get the width of frames of the video
double dHeight = capture.get(CV_CAP_PROP_FRAME_HEIGHT); //get the height of frames of the video
cout << "Frame Size = " << dWidth << "x" << dHeight << endl;
Size frameSize(static_cast<int>(dWidth), static_cast<int>(dHeight));
VideoWriter oVideoWriter ("wierd.avi", CV_FOURCC('D', 'I', 'V', '3'), 20, frameSize, true); //initialize the VideoWriter object
if ( !oVideoWriter.isOpened() ) //if not initialize the VideoWriter successfully, exit the program
{
cout << "ERROR: Failed to write the video" << endl;
return -1;
} int count=0;
while(true){
vector<vector<Point> > cnt;
vector<Vec4i> hierarchy;
capture >> src;
src.copyTo(src1);
// src = imread(argv[1]);
imshow("Input image",src1);
// imwrite("input.jpg",src1);
vector<Point2f> source_points;
vector<Point2f> dest_points;
source_points.push_back(cv::Point2f(169,386));
source_points.push_back(cv::Point2f(449,313));
source_points.push_back(cv::Point2f(212,111));
source_points.push_back(cv::Point2f(429,98));
dest_points.push_back(cv::Point2f(120,347));
dest_points.push_back(cv::Point2f(448,276));
dest_points.push_back(cv::Point2f(217,177));
dest_points.push_back(cv::Point2f(419,154));
H = getPerspectiveTransform( source_points, dest_points);
warpPerspective(src, src, H, src.size(), INTER_CUBIC | WARP_INVERSE_MAP);
imshow("ortho",src);
// imwrite("ortho.jpg",src);
// imwrite("input1.jpg",src);
cvtColor(src,src,CV_RGB2HSV);
inRange(src, Scalar(0,0,200), Scalar(140,255,255), src);
//imshow("image",src);
erode(src,src,cv::Mat());
imshow("erode",src);
Canny(src,contours,50,150,3);
//equalizeHist(contours,contours);
imshow("Canny",contours);
//imwrite("canny.jpg",contours);
//threshold(contours,contoursInv,128,255,THRESH_BINARY_INV);
//imshow("threshold",contoursInv);
std::vector<Vec2f> lines;
if (houghVote < 1 or lines.size() > 2){
houghVote = 100;
}
else{ houghVote += 25;}
while(lines.size() < 5 && houghVote > 0){
HoughLines(contours,lines,1,CV_PI/180, houghVote);
houghVote -= 5;
}
//std::cout << houghVote << "\n";
Mat hough(contours.rows,contours.cols,CV_8U,Scalar(0));
Mat result1(contours.rows,contours.cols,CV_8U,Scalar(0));
//src.copyTo(hough);
std::vector<Vec2f>::const_iterator it= lines.begin();
//Mat hough(src.size(),CV_8U,Scalar(0));
//if(count==0)
// cout<<"no. of lines="<<lines.end()-lines.begin()<<endl;
// int val=0;
while (it!=lines.end()) {
float rho= (*it)[0];
float theta= (*it)[1];
/*if (theta < theta_min)
{
theta_min = theta;
rho_min = rho;
}
[email protected]
else if (theta > theta_max)
{
theta_max = theta;
rho_max = rho;
}*/
rho_values[it-lines.begin()]=rho;
theta_values[it-lines.begin()]=theta;
// cout<<"rho="<<rho_values[it-lines.begin()]<<"theta="<<theta_values[it-lines.begin()]<<endl;
Point pt1(rho/cos(theta),0);
Point pt2((rho-hough.rows*sin(theta))/cos(theta),hough.rows);
// if(count==0)
//cout<<"rho="<<rho<<", theta="<<theta<<endl;
// line( result, pt1, pt2, Scalar(255), 2);
line( hough, pt1, pt2, Scalar(255), 2);
// cout<<"point 1="<<pt1.x<<","<<pt1.y<<endl;
// cout<<"point2="<<pt2.x<<", "<<pt2.y<<endl;
//cout<<endl;//if(count==0)
// {
//for(int k=0; k<lines.end()-lines.begin();k++)
//cout<<rho_values[it-lines.begin()]<<endl;//}
// cout<<pt1.x<<" "<<pt1.y<<endl;
//std::cout << "line: (" << rho << "," << theta << ")\n";
++it;
}
//removing extra lines in hough
float rho_final[lines.end()-lines.begin()];
float theta_final[lines.end()-lines.begin()];
std::vector<Vec2f>::const_iterator it1= lines.begin();
Mat result(src.size(),CV_8U,Scalar(0));
line(result,Point(rho_values[0]/cos(theta_values[0]),0),Point((rho_values[0]-result.rows*sin(theta_values[0]))/cos(theta_values[0]),result.rows),Scalar(255),2);
int b=1;
rho_final[0]=rho_values[0],theta_final[0]=theta_values[0];
int line_result=1;
while(it1!=lines.end()){
std::vector<Vec2f>::const_iterator it2= lines.begin();
while(it2<it1)
{
if((abs(rho_values[it1-lines.begin()]-rho_values[it2-lines.begin()])<5)&&(abs(theta_values[it1-lines.begin()]-theta_values[it2-lines.begin()])<0.5))
break;
else
{
Point pt3(rho_values[it2-lines.begin()]/(cos(theta_values[it2-lines.begin()])),0);
Point pt4((rho_values[it2-lines.begin()]-result.rows*sin(theta_values[it2-lines.begin()]))/cos(theta_values[it2-lines.begin()]),result.rows);
//cout<<"rho val of line="<<rho_values[it2-lines.begin()]<<" theta val of line= "<<theta_values[it2-lines.begin()]<<endl;
//cout<<"rho val of pt4="<<rho_valuesit2-lines.begin()]<<" theta val of pt3="<<theta_values[it2-lines.begin()];
//cout<<"point3="<<pt3.x<<","<<pt3.y<<endl;
//cout<<"point4="<<pt4.x<<","<<pt4.y<<endl;
//cout<<endl;
//cv::circle(result,pt3,13,cvScalar(255,0,0));
//cv::circle(result,pt4,16,cvScalar(125,0,0));
line(result,pt3,pt4,Scalar(255),2);
rho_final[b]=rho_values[it2-lines.begin()];
theta_final[b]=theta_values[it2-lines.begin()];
// cout<<"rho_final ="<<rho_final[b]<<" theta_final= "<<theta_final[b]<<endl;
b++;
line_result++;
}
++it2;}
++it1;}
//cout<<"b ="<<b;
//finding all possible distances
float dist_max=0;
float dist_cmp=0;
for(int c=0;c<b;c++)
{
// cout<<"rho= "<<rho_final[c]<<" theta= "<<theta_final[c]<<endl;
for(int d=0;d<c;d++)
{
dist_cmp=(rho_final[c]-rho_final[d])*0.28285;
if(dist_cmp>=dist_max)
dist_max=dist_cmp;
}
}
cout<<"the maximum distance is "<<dist_max;
cout<<endl;
// cout<<"lines drawn in result="<<line_result<<endl;
//imshow("result1",result1);
imshow("result_b",result);
addWeighted(result1,1,result,1,0., result);
if(count%1==0)
imshow("result_a",result);
/* std::vector<Vec2f>::const_iterator it1= lines.begin();
for(it1=lines.begin();it1<lines.end();it1++)
{
}
//Mat output(contours.rows,contours.cols,CV_8U,Scalar(255));
// removing two similar lines
/* for(int k=0;k<lines.end()-lines.begin()-1;k++)
{
if((rho_values[k]-rho_values[k+1]<=1)&&(theta_values[k]-theta_values[k+1]<=0.1))
cout<<"do nothing"<<endl;
else
// line(( output, (rho_values[k]/cos(theta_values[k]),0), (rho_values[k]-output.rows*sin(theta_values[k]))/cos(theta_values[k]),output.rows), Scalar(255), 2);
}*/
imshow("Hough",hough);
//imwrite("hough.jpg",hough);
// imshow("output",output);
/* for(int i=0; i<hough.rows;i++)
{
for(int j=0; j<hough.cols;j++)
{ if(hough.at<uchar>(i,j))
{
// cout<<"white"<<endl;
//if(count==0)
//cout<<"The white point is ("<<j<<","<<i<<")"<<endl;
}}}*/
oVideoWriter.write(ortho); //writer the frame into the file
// imwrite("hough1.jpg",hough);
//imshow("result",result);*/
int k;
//if((k = waitKey() & 255)==27)
// return 0;
cvWaitKey(30);
src.release();
ortho.release();
hough.release();
//houghP.release();
// result.release();
contours.release();
contoursInv.release();
lines.clear();
count++;
result.copyTo(result1);
//lines1.clear();
//li.clear();
}
return 0;
}
int main(int argc, char** argv)
{
if(argc >= 3)
{
VideoCapture inputVideo(argv[1]); // open the default camera
if(!inputVideo.isOpened()) // check if we succeeded
return -1;
// Initialize
VideoWriter outputVideo; // Open the output
const string source = argv[2]; // the source file name
const string NAME = source + ".mp4"; // Form the new name with container
int ex = inputVideo.get(CV_CAP_PROP_FOURCC); // Get Codec Type- Int form
std::cout << ex << "\n" << (int)inputVideo.get(CV_CAP_PROP_FOURCC) << "\n";
Size S = Size((int) inputVideo.get(CV_CAP_PROP_FRAME_WIDTH), //Acquire input size
(int) inputVideo.get(CV_CAP_PROP_FRAME_HEIGHT));
outputVideo.open(NAME, ex, inputVideo.get(CV_CAP_PROP_FPS), S, false);
char EXT[] = {(char)(ex & 0XFF) , (char)((ex & 0XFF00) >> 8),(char)((ex & 0XFF0000) >> 16),(char)((ex & 0XFF000000) >> 24), 0};
cout << "Input codec type: " << EXT << endl;
if (!outputVideo.isOpened())
{
cout << "Could not open the output video for write \n";
return -1;
}
// Basketball Color
int iLowH = 180;
int iHighH = 16;
int iLowS = 95;
int iHighS = 200;
int iLowV = 75;
int iHighV = 140;
// court Color
int courtLowH = 0;
int courtHighH = 20;
int courtLowS = 50;
int courtHighS = 150;
int courtLowV = 160;
int courtHighV = 255;
namedWindow("Result Window", 1);
//namedWindow("Court Window", 1);
// Mat declaration
Mat prev_frame, prev_gray, cur_frame, cur_gray;
Mat frame_blurred, frameHSV, frameGray;
// take the first frame
inputVideo >> prev_frame;
/* manual ball selection */
MouseParams mp;
prev_frame.copyTo( mp.ori );
prev_frame.copyTo( mp.img );
setMouseCallback("Result Window", BallSelectFunc, &mp );
int enterkey = 0;
while(enterkey != 32 && enterkey != 113)
{
enterkey = waitKey(30) & 0xFF;
imshow("Result Window", mp.img);
}
Rect lastBallBox;
Point lastBallCenter;
Point lastMotion;
/* Kalman Filter Initialization */
KalmanFilter KF(4, 2, 0);
float transMatrixData[16] = {1,0,1,0, 0,1,0,1, 0,0,1,0, 0,0,0,1};
KF.transitionMatrix = Mat(4, 4, CV_32F, transMatrixData);
Mat_<float> measurement(2,1);
measurement.setTo(Scalar(0));
KF.statePre.at<float>(0) = mp.pt.x;
KF.statePre.at<float>(1) = mp.pt.y;
KF.statePre.at<float>(2) = 0;
KF.statePre.at<float>(3) = 0;
setIdentity(KF.measurementMatrix);
setIdentity(KF.processNoiseCov, Scalar::all(1e-4));
setIdentity(KF.measurementNoiseCov, Scalar::all(1e-1));
setIdentity(KF.errorCovPost, Scalar::all(.1));
int pre_status_7=0;
/* start tracking */
setMouseCallback("Result Window", CallBackFunc, &frameHSV);
for(int frame_num=1; frame_num < inputVideo.get(CAP_PROP_FRAME_COUNT); ++frame_num)
{
int cur_status_7=pre_status_7;
inputVideo >> cur_frame; // get a new frame
// Blur & convert frame to HSV color space
cv::GaussianBlur(prev_frame, frame_blurred, cv::Size(5, 5), 3.0, 3.0);
cvtColor(frame_blurred, frameHSV, COLOR_BGR2HSV);
// gray scale current frame
cvtColor(prev_frame, prev_gray, CV_BGR2GRAY);
cvtColor(cur_frame, cur_gray, CV_BGR2GRAY);
/*
* STAGE 1: mask generation
* creating masks for balls and courts.
*/
Mat mask, mask1, mask2, court_mask;
inRange(frameHSV, Scalar(2, iLowS, iLowV), Scalar(iHighH, iHighS, iHighV), mask1);
inRange(frameHSV, Scalar(iLowH, iLowS, iLowV), Scalar(180, iHighS, iHighV), mask2);
inRange(frameHSV, Scalar(courtLowH, courtLowS, courtLowV), Scalar(courtHighH, courtHighS, courtHighV), court_mask);
mask = mask1 + mask2;
// morphological opening (remove small objects from the foreground)
erode(mask, mask, getStructuringElement(MORPH_ELLIPSE, Size(7, 7)) );
dilate(mask, mask, getStructuringElement(MORPH_ELLIPSE, Size(7, 7)) );
// morphological closing (fill small holes in the foreground)
dilate(mask, mask, getStructuringElement(MORPH_ELLIPSE, Size(7, 7)) );
erode(mask, mask, getStructuringElement(MORPH_ELLIPSE, Size(7, 7)) );
/*
* Method: HoughCircles
* creating circles and radius.
*/
// Basketball Color for Hough circle
int iLowH = 180;
int iHighH = 16;
int iLowS = 95;
int iHighS = 200;
int iLowV = 75;
int iHighV = 140;
Mat mask1_circle, mask2_circle, mask_circle, frameHSV_circle, frameFiltered,frameGray2;
cvtColor(frame_blurred, frameHSV_circle, COLOR_BGR2HSV);
inRange(frameHSV_circle, Scalar(0, iLowS, iLowV), Scalar(iHighH, iHighS, iHighV), mask1_circle);
inRange(frameHSV_circle, Scalar(iLowH, iLowS, iLowV),Scalar(180, iHighS, iHighV), mask2_circle);
mask_circle = mask1_circle + mask2_circle;
erode(mask_circle, mask_circle, getStructuringElement(MORPH_ELLIPSE, Size(7, 7)) );
dilate(mask_circle, mask_circle, getStructuringElement(MORPH_ELLIPSE, Size(7, 7)) );
prev_frame.copyTo( frameFiltered, mask_circle );
cv::cvtColor( frameFiltered, frameGray2, CV_BGR2GRAY );
vector<cv::Vec3f> circles;
cv::GaussianBlur(frameGray2, frameGray2, cv::Size(5, 5), 3.0, 3.0);
HoughCircles( frameGray2, circles, CV_HOUGH_GRADIENT, 1, frameGray2.rows/8, 120, 18, 5,300);
/*
* STAGE 2: contour generation
* creating contours with masks.
*/
vector< vector<cv::Point> > contours_ball;
vector< vector<cv::Point> > contours_court;
cv::findContours(mask, contours_ball, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
Mat result;
prev_frame.copyTo( result );
/*
// court mask refinement: eliminate small blocks
Mat buffer;
court_mask.copyTo( buffer );
cv::findContours(buffer, contours_court, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
for (size_t i = 0; i < contours_court.size(); i++)
{
double tmp_area = contourArea( contours_court[i] );
if(tmp_area < 900.0)
drawContours(court_mask, contours_court, i, 0, CV_FILLED);
}
bitwise_not(court_mask, court_mask);
court_mask.copyTo( buffer );
cv::findContours(buffer, contours_court, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
for (size_t i = 0; i < contours_court.size(); i++)
{
double tmp_area = contourArea( contours_court[i] );
if(tmp_area < 900.0)
drawContours(court_mask, contours_court, i, 0, CV_FILLED);
}
bitwise_not(court_mask, court_mask);
Mat canny_mask;
Canny(court_mask, canny_mask, 50, 150, 3);
vector<Vec4i> lines;
HoughLinesP(canny_mask, lines, 1, CV_PI/180, 80, 30, 10);
Point l_top( mask.cols/2, mask.rows );
Point l_bot( mask.cols/2, mask.rows );
for( size_t i = 0; i < lines.size(); i++ )
{
Point p1 = Point(lines[i][0], lines[i][1]);
Point p2 = Point(lines[i][2], lines[i][3]);
if(p1.y < l_top.y)
{
l_top = p1;
l_bot = p2;
}
if(p2.y < l_top.y)
{
l_top = p2;
l_bot = p1;
}
}
// stretch the line
Point v_diff = l_top - l_bot;
Point p_left, p_right;
int left_t = l_top.x / v_diff.x;
int right_t = (mask.cols - l_top.x) / v_diff.x;
p_left = l_top - v_diff * left_t;
p_right = l_top + v_diff * right_t;
line( court_mask, p_left, p_right, Scalar(128), 2, 8 );
imshow("Court Window", court_mask);
*/
// sieves
vector< vector<cv::Point> > balls;
vector<cv::Point2f> prev_ball_centers;
vector<cv::Rect> ballsBox;
Point best_candidate;
for (size_t i = 0; i < contours_ball.size(); i++)
{
drawContours(result, contours_ball, i, CV_RGB(255,0,0), 1); // fill the area
cv::Rect bBox;
bBox = cv::boundingRect(contours_ball[i]);
Point center;
center.x = bBox.x + bBox.width / 2;
center.y = bBox.y + bBox.height / 2;
// meet prediction!
if( mp.pt.x > bBox.x && mp.pt.x < bBox.x + bBox.width &&
mp.pt.y > bBox.y && mp.pt.y < bBox.y + bBox.height)
{
// initialization of ball position at first frame
if( frame_num == 1 || ( bBox.area() <= lastBallBox.area() * 1.5 && bBox.area() >= lastBallBox.area() * 0.5) )
{
lastBallBox = bBox;
lastBallCenter = center;
balls.push_back(contours_ball[i]);
prev_ball_centers.push_back(center);
ballsBox.push_back(bBox);
best_candidate = center;
}
else
{
cout << "area changed!" << endl;
// if the block containing ball becomes too large,
// we use last center + motion as predicted center
balls.push_back(contours_ball[i]);
prev_ball_centers.push_back( lastBallCenter+lastMotion );
ballsBox.push_back(bBox);
best_candidate = lastBallCenter + lastMotion;
}
}
else
{
// ball size sieve
if( bBox.area() > 1600 )
continue;
// ratio sieve
// float ratio = (float) bBox.width / (float) bBox.height;
// if( ratio < 1.0/2.0 || ratio > 2.0 )
// continue;
// ball center sieve: since we've done dilate and erode, not necessary to do.
/*
uchar center_v = mask.at<uchar>( center );*
if(center_v != 1)
continue;
*/
// ball-on-court sieve: not useful in basketball =(
//if(court_mask.at<uchar>(center) != 255)
// continue;
balls.push_back(contours_ball[i]);
prev_ball_centers.push_back(center);
ballsBox.push_back(bBox);
}
}
// store the center of the hough circle
vector<cv::Point2f> prev_ball_centers_circle;
for( size_t circle_i = 0; circle_i < circles.size(); circle_i++ )
{
Point center_circle(cvRound(circles[circle_i][0]), cvRound(circles[circle_i][1]));
int radius_circle = cvRound(circles[circle_i][2]);
prev_ball_centers_circle.push_back(center_circle);
}
// Kalman Filter Prediction
//Mat prediction = KF.predict();
//Point predictPt(prediction.at<float>(0),prediction.at<float>(1));
// Kalman Filter Update
//Mat estimated = KF.correct( best_candidate );
//OpticalFlow for HSV
vector<Point2f> cur_ball_centers;
vector<uchar> featuresFound;
Mat err;
TermCriteria termcrit(TermCriteria::COUNT|TermCriteria::EPS, 20, 0.03);
Size winSize(31, 31);
if( prev_ball_centers.size() > 0 )
calcOpticalFlowPyrLK(prev_gray, cur_gray, prev_ball_centers, cur_ball_centers, featuresFound, err, winSize, 3, termcrit, 0, 0.001);
//OpticalFlow for circle
vector<Point2f> cur_ball_centers_circle;
vector<uchar> featuresFound_circle;
Mat err2;
if( prev_ball_centers_circle.size() > 0 )
calcOpticalFlowPyrLK(prev_gray, cur_gray, prev_ball_centers_circle, cur_ball_centers_circle, featuresFound_circle, err2, winSize, 3, termcrit, 0, 0.001);
//plot MP
circle(result, mp.pt, 2, CV_RGB(255,255,255), 5);
cout<<"frame_num :"<<frame_num<<endl;
cout<<"lastMotion"<<lastMotion<<endl;
bool ball_found = false;
for (size_t i = 0; i < balls.size(); i++)
{
cv::Point center;
center.x = ballsBox[i].x + (ballsBox[i].width / 2);
center.y = ballsBox[i].y + (ballsBox[i].height/2);
// consider hough circle
int circle_in_HSV=0;
int in=0;
for( size_t circle_i = 0; circle_i < circles.size(); circle_i++ )
{
Point center2(cvRound(circles[circle_i][0]), cvRound(circles[circle_i][1]));
int radius = cvRound(circles[circle_i][2]);
double dis_center = sqrt(pow(center2.x-center.x,2)+pow(center2.y-center.y,2));
if( frame_num >2 && radius<40 && dis_center<radius+3 && mp.pt.x > ballsBox[i].x && mp.pt.x < ballsBox[i].x + ballsBox[i].width && mp.pt.y > ballsBox[i].y && mp.pt.y < ballsBox[i].y + ballsBox[i].height){
circle_in_HSV=1;
Point motion = cur_ball_centers_circle[circle_i] - prev_ball_centers_circle[circle_i];
mp.pt = Point2f(cur_ball_centers_circle[circle_i].x, cur_ball_centers_circle[circle_i].y);
lastMotion = motion;
cout<<mp.pt<<endl;
cout<<"status 1"<<endl;
cout<<motion<<endl;
ball_found = true;
in=1;
cout<<in<<endl;
cv::circle( result, center2, radius, Scalar(0,255,0), 2 );
}
// if(radius<40){
// stringstream sstr;
// sstr << "(" << center2.x << "," << center2.y << ")";
//// cv::putText(result, sstr.str(),
//// cv::Point(center2.x + 3, center2.y - 3),
//// cv::FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(20,150,20), 2);
// cv::circle( result, center2, radius, Scalar(12,12,255), 2 );}
}
// see if any candidates contains out ball
if( circle_in_HSV==0 && mp.pt.x > ballsBox[i].x && mp.pt.x < ballsBox[i].x + ballsBox[i].width && mp.pt.y > ballsBox[i].y && mp.pt.y < ballsBox[i].y + ballsBox[i].height)
{
cv::rectangle(result, ballsBox[i], CV_RGB(0,255,0), 2);
Point motion = cur_ball_centers[i] - prev_ball_centers[i];
// update points and lastMotion
float ratio = (float) ballsBox[i].width / (float) ballsBox[i].height;
if( ballsBox[i].area() < 1000 && ratio>0.7 && ratio<1.35 && ballsBox[i].area() > 200){
mp.pt = Point2f(center.x, center.y);
cout<<"status 2"<<endl;
cout<<"AREA:"<<ballsBox[i].area()<<endl;
}else{
mp.pt = Point2f(mp.pt.x+motion.x, mp.pt.y+motion.y);
cout<<"status 3"<<endl;
}
// TODO replace with predicted points of kalman filter here.
lastMotion = motion;
ball_found = true;
}
// draw optical flow
if(!featuresFound[i])
continue;
cv::Point2f prev_center = prev_ball_centers[i];
cv::Point2f curr_center = cur_ball_centers[i];
cv::line( result, prev_center, curr_center, CV_RGB(255,255,0), 2);
}
// if ball is not found, search for the closest ball candidate within a distance.
if(!ball_found)
{
int search_distance_threshold = 35*35;
int closest_dist = 2000;
// int closest_dist2 = 2000;
int closest_area_diff = 10000;
int best_i = 0;
for (size_t i = 0; i < balls.size(); i++)
{
int diff_x = prev_ball_centers[i].x - mp.pt.x;
int diff_y = prev_ball_centers[i].y - mp.pt.y;
int area_threshold_high = 100*100;
int area_threshold_low = 15*15;
int distance = diff_x * diff_x + diff_y * diff_y;
int area_diff = abs(ballsBox[i].area()-lastBallBox.area());
float ratio = (float) ballsBox[i].width / (float) ballsBox[i].height;
// if(distance<closest_dist2){
// closest_dist2=distance;
// best_i = i;}
// if distance is small
if( distance < search_distance_threshold &&
distance < closest_dist && ratio>0.7 && ratio<1.45 && ballsBox[i].area()<area_threshold_high && ballsBox[i].area()>area_threshold_low)
{
closest_dist = distance;
closest_area_diff = area_diff;
best_i = i;
ball_found = true;
}
}
// cout<<"ballsBox[i].area()"<<ballsBox[best_i].area()<<endl;
// cout<<"Ratio"<<(float) ballsBox[best_i].width / (float) ballsBox[best_i].height<<endl;
int best_radius;
if(ball_found)
{
// reset mp.pt
cout<<"here! yello"<<endl;
int search_distance_threshold = 80*80;
int closest_dist = 2000;
int best_circle_i = 0;
bool circle_found = false;
for( size_t circle_i = 0; circle_i < circles.size(); circle_i++ )
{
int radius = cvRound(circles[circle_i][2]);
int diff_x = prev_ball_centers_circle[circle_i].x - mp.pt.x;
int diff_y = prev_ball_centers_circle[circle_i].y - mp.pt.y;
int distance = diff_x * diff_x + diff_y * diff_y;
if( distance < search_distance_threshold && radius>8 && radius<13)
{
closest_dist = distance;
best_circle_i = circle_i;
circle_found = true;
cout<<"radius"<<radius<<endl;
best_radius = radius;
}
}
if(circle_found){
cv::circle( result, cur_ball_centers_circle[best_circle_i], best_radius, CV_RGB(255,255,0), 2 );
mp.pt = Point2f(cur_ball_centers_circle[best_circle_i].x, cur_ball_centers_circle[best_circle_i].y);
cout<<"status 4"<<endl;
} else{
cv::rectangle(result, ballsBox[best_i], CV_RGB(255,255,0), 2);
Point motion = cur_ball_centers[best_i] - prev_ball_centers[best_i];
mp.pt = Point2f(cur_ball_centers[best_i].x, cur_ball_centers[best_i].y);
lastMotion = motion;
cout<<"status 5"<<endl;
}
}
else
{
// if ball still not found... stay at the same direction
circle(result, mp.pt, 5, CV_RGB(255,255,255), 2);
int search_distance_threshold, closest_dist,best_i,radius_threshold_low, radius_threshold_high, ball_found;
if(cur_status_7>1){
search_distance_threshold = 200*200;
closest_dist = 55000;
best_i = 0;
radius_threshold_low=4;
radius_threshold_high=16;
ball_found = false;}
else{
search_distance_threshold = 80*80;
closest_dist = 6000;
best_i = 0;
radius_threshold_low=7;
radius_threshold_high=13;
ball_found = false;
}
int best_radius;
for( size_t circle_i = 0; circle_i < circles.size(); circle_i++ )
{
int radius = cvRound(circles[circle_i][2]);
int diff_x = prev_ball_centers_circle[circle_i].x - mp.pt.x;
int diff_y = prev_ball_centers_circle[circle_i].y - mp.pt.y;
int distance = diff_x * diff_x + diff_y * diff_y;
if( distance < search_distance_threshold && radius>radius_threshold_low && radius<radius_threshold_high)
{
closest_dist = distance;
best_i = circle_i;
ball_found = true;
best_radius =radius;
cout<<"radius"<<radius<<endl;
cout<<mp.pt<<endl;
}
}
if(ball_found){
cv::circle( result, cur_ball_centers_circle[best_i], best_radius, CV_RGB(255,255,0), 2 );
Point motion = cur_ball_centers_circle[best_i] - prev_ball_centers_circle[best_i];
mp.pt = Point2f(cur_ball_centers_circle[best_i].x, cur_ball_centers_circle[best_i].y);
lastMotion = motion;
cout<<mp.pt<<endl;
cout<<motion<<endl;
cout<<"status 6"<<endl;
}else{
// mp.pt = lastBallCenter + lastMotion;
cout<<"status 7"<<endl;
cout<<"lastBallCenter"<<lastBallCenter<<endl;
}
// mp.pt = Point2f(mp.pt.x+lastMotion.x, mp.pt.y+lastMotion.y);
pre_status_7+=1;
}
}
if(lastMotion.x*lastMotion.x+lastMotion.y*lastMotion.y>1200){
cout<<"HIGH SPEED"<<endl;
cout<<"HIGH SPEED"<<endl;
cout<<"HIGH SPEED"<<endl;
cout<<"MP before"<<mp.pt<<endl;
int search_distance_threshold = 200*200;
int closest_dist = 55000;
int best_circle_i = 0;
int best_i=0;
bool ball_found = false;
for (size_t i = 0; i < balls.size(); i++)
{
int diff_x = prev_ball_centers[i].x - mp.pt.x;
int diff_y = prev_ball_centers[i].y - mp.pt.y;
int area_threshold_high = 100*100;
int area_threshold_low = 10*10;
int distance = diff_x * diff_x + diff_y * diff_y;
int area_diff = abs(ballsBox[i].area()-lastBallBox.area());
float ratio = (float) ballsBox[i].width / (float) ballsBox[i].height;
// if(distance<closest_dist2){
// closest_dist2=distance;
// best_i = i;}
// if distance is small
if( distance < search_distance_threshold &&
distance < closest_dist && ratio>0.7 && ratio<1.45 && ballsBox[i].area()<area_threshold_high && ballsBox[i].area()>area_threshold_low)
{
closest_dist = distance;
best_i = i;
ball_found = true;
}
}
if(ball_found)
{
cv::rectangle(result, ballsBox[best_i], CV_RGB(255,255,0), 2);
Point motion = cur_ball_centers[best_i] - prev_ball_centers[best_i];
mp.pt = Point2f(cur_ball_centers[best_i].x, cur_ball_centers[best_i].y);
lastMotion = motion;
cout<<"ball"<<endl;
}
circle(result, mp.pt, 5, CV_RGB(255,255,255), 2);
int radius_threshold_low, radius_threshold_high;
int best_radius;
search_distance_threshold = 200*200;
closest_dist = 55000;
best_i = 0;
radius_threshold_low=5;
radius_threshold_high=13;
ball_found = false;
for( size_t circle_i = 0; circle_i < circles.size(); circle_i++ )
{
int radius = cvRound(circles[circle_i][2]);
int diff_x = prev_ball_centers_circle[circle_i].x - mp.pt.x;
int diff_y = prev_ball_centers_circle[circle_i].y - mp.pt.y;
int distance = diff_x * diff_x + diff_y * diff_y;
if( distance < search_distance_threshold && radius>radius_threshold_low && radius<radius_threshold_high)
{
closest_dist = distance;
best_i = circle_i;
ball_found = true;
best_radius = radius;
}
}
if(ball_found)
{
// cv::circle( result, cur_ball_centers_circle[best_i], best_radius, Scalar(255,255,0), 2 );
Point motion = cur_ball_centers_circle[best_i] - prev_ball_centers_circle[best_i];
mp.pt = Point2f(cur_ball_centers_circle[best_i].x, cur_ball_centers_circle[best_i].y);
lastMotion = motion;
cout<<"circle"<<endl;
}
cout<<"MP after"<<mp.pt<<endl;
}
for( size_t circle_i = 0; circle_i < circles.size(); circle_i++ )
{
Point center2(cvRound(circles[circle_i][0]), cvRound(circles[circle_i][1]));
double dis_center = sqrt(pow(center2.x-mp.pt.x,2)+pow(center2.y-mp.pt.y,2));
int radius = cvRound(circles[circle_i][2]);
if(dis_center<200)
continue;
cv::circle( result, center2, radius, Scalar(12,12,255), 2 );
}
if(mp.pt.x<1)
mp.pt.x=1;
if(mp.pt.x>1279)
mp.pt.x=1279;
if(mp.pt.y<1)
mp.pt.y=1;
if(mp.pt.y>719)
mp.pt.y=719;
if(pre_status_7==cur_status_7)
pre_status_7=0;
imshow("Result Window", result);
/* UPDATE FRAME */
cur_frame.copyTo( prev_frame );
/* KEY INPUTS */
int keynum = waitKey(30) & 0xFF;
if(keynum == 113) // press q
break;
else if(keynum == 32) // press space
{
keynum = 0;
while(keynum != 32 && keynum != 113)
keynum = waitKey(30) & 0xFF;
if(keynum == 113)
break;
}
}
inputVideo.release();
outputVideo.release();
}
int main(int argc, char** argv)
{
// variable initialization
int keyInput = 0;
int nFrames = 0, nSmoothFrames = 0, nFailedFrames = 0, nBlindFrames = 0;
int lastDx = 0, lastDy = 0;
bool bOverlay = true; // plot overlay?
bool bTrace = true & bOverlay; // plot 'bubble' trace? (only when overlay active)
Ptr<BackgroundSubtractor> pMOG2;
VideoCapture capture; // input video capture
VideoWriter outputVideo; // output video writer
Mat curFrame, // current original frame
fgMaskMOG2, // foreground mask from MOG2 algorithm
bgImg, // container for background image from MOG2
grayFrame, // grayscale conversion of original frame
frameDil, // dilated grayscale frame
canny_out; // output of Canny algorithm for shape outline detection
Mat *pOutMat = &curFrame; // pointer to image that will be rendered once per input video frame
Mat strucElem = getStructuringElement(MORPH_RECT, Size(3, 3)); // dilatation base element
// containers for output of findContours()
vector<Mat> contours;
vector<Vec4i> hierarchy;
// read video input filename from command line and construct output filename
if (argc < 2) {
cerr << "Please provide input video filename." << endl;
return EXIT_FAILURE;
}
string filename(argv[1]);
string outName = filename.substr(0, filename.length() - 4) + "_out.avi";
Rect lastKnownRect, lastRect;
Point lastKnownPos, lastPos, estimatePos, plotPos;
list<Point> lastKnownPositions;
// init 'live' video output window
namedWindow("Motion tracking");
// try to open input file
capture.open(filename);
if (!capture.isOpened()) {
cerr << "Unable to open file '" << filename << "'." << endl;
return EXIT_FAILURE;
} else {
cout << "Successfully opened file '" << filename << "'." << endl;
}
// try to write to output file
Size vidS = Size((int)capture.get(CV_CAP_PROP_FRAME_WIDTH), (int)capture.get(CV_CAP_PROP_FRAME_HEIGHT));
outputVideo.open(outName, CV_FOURCC('P','I','M','1'), capture.get(CV_CAP_PROP_FPS), vidS, true);
if (!outputVideo.isOpened()) {
cerr << "Unable to write to output video." << endl;
return EXIT_FAILURE;
}
// build frame buffer and background subtractor
pMOG2 = createBackgroundSubtractorMOG2(500, 30., true);
// main loop over frames
while (capture.read(curFrame) && (char)keyInput != 'q')
{
++nFrames;
cvtColor(curFrame, grayFrame, CV_BGR2GRAY); // convert to grayscale
threshold(grayFrame, grayFrame, 128., 0., CV_THRESH_TRUNC); // try to mitigate (white) reflections by truncating the current frame
GaussianBlur(grayFrame, grayFrame, Size(7, 7), 0, 0);
pMOG2->apply(grayFrame, fgMaskMOG2);
// erode and dilate to remove some noise
erode(fgMaskMOG2, frameDil, strucElem);
dilate(frameDil, frameDil, strucElem);
// dilate and erode to remove holes from foreground
dilate(frameDil, frameDil, strucElem);
erode(frameDil, frameDil, strucElem);
// canny to find foreground outlines
Canny(frameDil, canny_out, 100, 200, 3);
// find contours, sort by contour size (descending)
findContours(canny_out, contours, hierarchy, CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, Point(0, 0)); // find contours
sort(contours.begin(), contours.end(), rvs_cmp_contour_area); // sort by contour area, beginning with the largest
// determine largest "moving" object
int iMaxSize = 0;
bool bFoundCloseContour = false;
for (unsigned int i = 0; i < contours.size(); i++)
{
if (contourArea(contours[i]) < CONTOUR_AREA_THRESH) // ignore contours which are too small (noise)
break;
// ignore contours which are too far away from the last frame
Rect boun = boundingRect(contours[i]); // bounding rect
Point bounCenter = (boun.tl() + boun.br())/2;
if (i == 0) // preemptively save largest contour to get back to if no "close" contour is found.
{
lastRect = boun;
lastPos = bounCenter;
}
// distance validity check, but only if we recently had track of the object
if (nFrames > 1 && nFailedFrames < 10)
{
int dx = bounCenter.x - lastPos.x;
int dy = bounCenter.y - lastPos.y;
int dist2 = dx*dx + dy*dy;
//cout << bounCenter << " " << lastPos << endl;
if (dist2 > DELTA_SQ_THRESH) // too far away... try next contour
continue;
}
lastRect = boun;
lastPos = bounCenter;
bFoundCloseContour = true;
++nSmoothFrames;
break;
}
if (contours.size() == 0) {
// we don't see anything.
++nBlindFrames;
} else { nBlindFrames = 0; }
// update last known position if smooth transition occured
if (bFoundCloseContour) {
nFailedFrames = 0;
lastDx = lastPos.x - lastKnownPos.x;
lastDy = lastPos.y - lastKnownPos.y;
lastKnownRect = lastRect;
lastKnownPos = lastPos;
plotPos = lastKnownPos;
if (bTrace) { // draw trace
if (lastKnownPositions.size() > LAST_POS_BUFFER_SIZE)
lastKnownPositions.pop_front();
lastKnownPositions.push_back(lastPos);
list<Point>::iterator it;
int i = 0;
for (it = lastKnownPositions.begin(); it != lastKnownPositions.end(); it++) {
Scalar color(180, 90, 30);
circle(*pOutMat, *it, 5, color, 2 * i);
++i;
}
}
} else {
++nFailedFrames;
// guess based on velocity extrapolation
estimatePos.x = lastKnownPos.x + nFailedFrames*lastDx;
estimatePos.y = lastKnownPos.y + nFailedFrames*lastDy;
if (estimatePos.x < 0 || estimatePos.y < 0 || estimatePos.x >= capture.get(CV_CAP_PROP_FRAME_WIDTH) ||
estimatePos.y >= capture.get(CV_CAP_PROP_FRAME_HEIGHT || nFailedFrames >= 10)) {
// we've totally lost track, cancel velocity extrapolation guess
plotPos = lastKnownPos;
nFailedFrames = 0;
} else {
plotPos = estimatePos;
}
}
// draw overlay (rect frame, mid point and text)
if (bOverlay) {
if (nBlindFrames < 6 && bFoundCloseContour) {
circle(*pOutMat, plotPos, 5, Scalar(255, 120, 0), 10, 8);
rectangle(*pOutMat, lastKnownRect, Scalar(0, 255, 0), 3);
}
vector<ostringstream> text(4);
const int lineSkip = 16;
text[0] << "Frame: " << nFrames; // frame counter
text[1] << "Object X: " << lastKnownPos.x; // moving object coordinates
text[2] << "Object Y: " << lastKnownPos.y;
text[3] << "Smooth rate: " << setprecision(3) << 100.0*nSmoothFrames / nFrames << "%"; // tracking percentage
for (unsigned int line = 0; line < text.size(); line++) {
putText(*pOutMat, text[line].str(), Point(10, 22 + line*lineSkip), CV_FONT_HERSHEY_PLAIN, 1., Scalar(180., 0., 0.));
}
}
// cleanup temporary vectors (VS2013 stability issues)
contours.clear();
hierarchy.clear();
outputVideo << *pOutMat; // add output video frame
imshow("Motion tracking", *pOutMat); // draw frame
keyInput = waitKey(5); // allow time for event loop
}
// release files
outputVideo.release();
capture.release();
return EXIT_SUCCESS;
}
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 bool askOutputType = argv[3][0] =='Y'; // If false it will use the inputs codec type
VideoCapture inputVideo(source); // Open input
if (!inputVideo.isOpened())
{
cout << "Could not open the input video: " << source << endl;
return -1;
}
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[] = {(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
(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);
else
outputVideo.open(NAME, ex, inputVideo.get(CV_CAP_PROP_FPS), S, true);
if (!outputVideo.isOpened())
{
cout << "Could not open the output video for write: " << source << endl;
return -1;
}
cout << "Input frame resolution: Width=" << S.width << " Height=" << S.height
<< " of nr#: " << inputVideo.get(CV_CAP_PROP_FRAME_COUNT) << endl;
cout << "Input codec type: " << EXT << endl;
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;
}
Mat src, res;
vector<Mat> spl;
for(;;) //Show the image captured in the window and repeat
{
inputVideo >> src; // read
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());
merge(spl, res);
//outputVideo.write(res); //save or
outputVideo << res;
}
cout << "Finished writing" << endl;
return 0;
}
int main(int argc, char** argv)
{
MEMORYSTATUSEX statex;
statex.dwLength = sizeof(statex);
GlobalMemoryStatusEx(&statex);
unsigned int BufferMax = statex.ullAvailPhys / 4.;
cout << "Buffer-Arbeitsspeicher: " << BufferMax / 1024. / 1024. << " Mb " << endl;
string filename;
cout << "Output datei: [.avi wird angeh\u00E4ngt]:";
while (filename.empty())
cin >> filename;
filename.append(".avi");
float timer = 0;
cout << "Timer zwischen Frames [bsp:\"1\" / \"0.5\" / \"0.3\"]:";
while (timer <= 0)
cin >> timer;
double outfps = 0;
cout << "Output FPS[H\u00F6here werte geben schnelleres Video, standart:30, BLEIB UNTER 30]:";
while (outfps <= 0 && outfps < 30)
cin >> outfps;
WIN win("Preview... Beenden mit ESCAPE");
int framec = 0;
clock_t lsttime = clock();
Mat minput = hwnd2mat(GetDesktopWindow());
queue<Mat> toWrite;
cv::Size sizefull = minput.size();
VideoWriter file;
cout << "FEHLERMELDUNG IGNORIEREN:::" << endl;
cv::Size sizeprev = sizefull;
sizeprev.height = sizefull.height / 2;
sizeprev.width = sizefull.width / 2;
bool run = true;
system("cls");
#pragma omp parallel num_threads(2) shared(run)
{
if (omp_get_thread_num() == 0)
{
while (waitKey(1) != 27)
{
lsttime = clock();
//Get
minput = hwnd2mat(GetDesktopWindow());
//write
//file.write(minput);
#pragma omp critical(list)
toWrite.push(minput);
if (omp_get_num_threads() == 1)
if (((minput.dataend - minput.datastart) * toWrite.size()) > BufferMax)
{
cout << "ONLY ONE THREAD!!!" << endl;
cout << endl;
while (!toWrite.empty())
{
cout << "\rToWrite:" << toWrite.size() << " ";
file.write(toWrite.front());
toWrite.pop();
}
cout << endl;
}
//Convert for preview
Mat halfsized;
cv::resize(minput, halfsized, sizeprev);
//show
cout << "\rFrame:[ " << setw(5) << ++framec << "] " << setprecision(5) << ((minput.dataend - minput.datastart) * toWrite.size()) / 1024. / 1024. << " MB " << toWrite.size() << " ";
do{ win.show(halfsized); } while (double(clock() - lsttime) / CLOCKS_PER_SEC < timer);
}
run = false;
#pragma omp flush(run)
}
if (omp_get_thread_num() == 1 || omp_get_num_threads() == 1)
{
file.open(filename, CV_FOURCC('M', 'S', 'V', 'C'), outfps, sizefull, true);
//file.write(minput);
if (!file.isOpened())
{
system("pause");
//return NULL;
}
system("cls");
while (run)
{
if (((minput.dataend - minput.datastart) * toWrite.size()) > BufferMax)
while (!toWrite.empty())
{
#pragma omp critical(list)
file.write(toWrite.front());
toWrite.pop();
}
Sleep(1000);
#pragma omp flush(run)
}
while (!toWrite.empty())
{
cout << "\rToWrite:" << toWrite.size() << " ";
#pragma omp critical(list)
file.write(toWrite.front());
toWrite.pop();
}
}
}
}
