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Hi guys, I wanna resize boundingRect to fix size but I don't get some help after googling it.

Here we go my code:

    cv::namedWindow("Frame");   
    cv::namedWindow("Background Model");
    cv::namedWindow("Blob");

    cv::VideoCapture cap("skenario c/3.avi");   

    cv::BackgroundSubtractorMOG2 bgs;                       
        bgs.nmixtures = 3;
        bgs.history = 1000;
        bgs.bShadowDetection = true;                            
        bgs.nShadowDetection = 0;                               
        bgs.fTau = 0.25;    

    std::vector<std::vector<cv::Point>> contours;               

    cv::CascadeClassifier human;
    assert(human.load("hogcascade_pedestrians.xml"));
    for(;;){
        cap >> frame;   

        cv::GaussianBlur(frame,blurred,cv::Size(3,3),0,0,cv::BORDER_DEFAULT);

        bgs.operator()(blurred,fg,0);                           
        bgs.getBackgroundImage(bgmodel);    

        cv::erode(fg,fg,cv::Mat(),cv::Point(-1,-1),1);                         
        cv::dilate(fg,fg,cv::Mat(),cv::Point(-1,-1),3); 

        cv::threshold(fg,threshfg,70.0f,255,CV_THRESH_BINARY);

        cv::findContours(threshfg,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_SIMPLE);
        cv::cvtColor(threshfg,blob,CV_GRAY2RGB);
        cv::drawContours(blob,contours,-1,cv::Scalar(255,255,255),CV_FILLED,8);
        blob.copyTo(blobarray[(int)cap.get(CV_CAP_PROP_POS_FRAMES)]);

        int cmin = 20; 
        int cmax = 1000;
        bool FOD1 = true;
        bool FOD2 = true;
        std::vector<cv::Rect> rects;

        for(int cnum = 0; cnum < contours.size(); cnum++){

            if(contours[cnum].size() > cmin && contours[cnum].size() < cmax){       


        //I WANNA RESIZE HERE:
        human.detectMultiScale(frame(cv::boundingRect(contours[cnum])),rects);

I'll appreciate any help here, thanks. :)

Hi guys, I wanna resize boundingRect to fix size but I don't get some help after googling it.

Here we go my code:code, look at the last line:

    cv::namedWindow("Frame");   
    cv::namedWindow("Background Model");
    cv::namedWindow("Blob");

    cv::VideoCapture cap("skenario c/3.avi");   

    cv::BackgroundSubtractorMOG2 bgs;                       
        bgs.nmixtures = 3;
        bgs.history = 1000;
        bgs.bShadowDetection = true;                            
        bgs.nShadowDetection = 0;                               
        bgs.fTau = 0.25;    

    std::vector<std::vector<cv::Point>> contours;               

    cv::CascadeClassifier human;
    assert(human.load("hogcascade_pedestrians.xml"));
    for(;;){
        cap >> frame;   

        cv::GaussianBlur(frame,blurred,cv::Size(3,3),0,0,cv::BORDER_DEFAULT);

        bgs.operator()(blurred,fg,0);                           
        bgs.getBackgroundImage(bgmodel);    

        cv::erode(fg,fg,cv::Mat(),cv::Point(-1,-1),1);                         
        cv::dilate(fg,fg,cv::Mat(),cv::Point(-1,-1),3); 

        cv::threshold(fg,threshfg,70.0f,255,CV_THRESH_BINARY);

        cv::findContours(threshfg,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_SIMPLE);
        cv::cvtColor(threshfg,blob,CV_GRAY2RGB);
        cv::drawContours(blob,contours,-1,cv::Scalar(255,255,255),CV_FILLED,8);
        blob.copyTo(blobarray[(int)cap.get(CV_CAP_PROP_POS_FRAMES)]);

        int cmin = 20; 
        int cmax = 1000;
        bool FOD1 = true;
        bool FOD2 = true;
        std::vector<cv::Rect> rects;

        for(int cnum = 0; cnum < contours.size(); cnum++){

            if(contours[cnum].size() > cmin && contours[cnum].size() < cmax){       


        //I WANNA RESIZE HERE:
        human.detectMultiScale(frame(cv::boundingRect(contours[cnum])),rects);

I'll appreciate any help here, thanks. :)

Hi guys, I wanna resize boundingRect to fix size and have the object inside the rect but I don't get some help after googling it.it. And try some several ways but didn't work, like:

cv::Rect r0 = cv::boundingRect(contours[cnum]);
r0.x = r0.x - 5;
r0.y = r0.y - 5;
r0.height = 60
r0.width = 100;
cv::rectangle(blob, r0, cv::Scalar(255, 0, 0));
human.detectMultiScale(frame(r0),rects);

Here we go my full code, look at the last line:

    cv::namedWindow("Frame");   
    cv::namedWindow("Background Model");
    cv::namedWindow("Blob");

    cv::VideoCapture cap("skenario c/3.avi");   

    cv::BackgroundSubtractorMOG2 bgs;                       
        bgs.nmixtures = 3;
        bgs.history = 1000;
        bgs.bShadowDetection = true;                            
        bgs.nShadowDetection = 0;                               
        bgs.fTau = 0.25;    

    std::vector<std::vector<cv::Point>> contours;               

    cv::CascadeClassifier human;
    assert(human.load("hogcascade_pedestrians.xml"));
    for(;;){
        cap >> frame;   

        cv::GaussianBlur(frame,blurred,cv::Size(3,3),0,0,cv::BORDER_DEFAULT);

        bgs.operator()(blurred,fg,0);                           
        bgs.getBackgroundImage(bgmodel);    

        cv::erode(fg,fg,cv::Mat(),cv::Point(-1,-1),1);                         
        cv::dilate(fg,fg,cv::Mat(),cv::Point(-1,-1),3); 

        cv::threshold(fg,threshfg,70.0f,255,CV_THRESH_BINARY);

        cv::findContours(threshfg,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_SIMPLE);
        cv::cvtColor(threshfg,blob,CV_GRAY2RGB);
        cv::drawContours(blob,contours,-1,cv::Scalar(255,255,255),CV_FILLED,8);
        blob.copyTo(blobarray[(int)cap.get(CV_CAP_PROP_POS_FRAMES)]);

        int cmin = 20; 
        int cmax = 1000;
        bool FOD1 = true;
        bool FOD2 = true;
        std::vector<cv::Rect> rects;

        for(int cnum = 0; cnum < contours.size(); cnum++){

            if(contours[cnum].size() > cmin && contours[cnum].size() < cmax){       


        //I WANNA RESIZE HERE:
        human.detectMultiScale(frame(cv::boundingRect(contours[cnum])),rects);

I'll appreciate any help here, thanks. :)

Hi guys, I wanna resize boundingRect to fix size and have the object inside the center of rect but I don't get some help after googling it. And try some several ways but didn't work, like:

cv::Rect r0 = cv::boundingRect(contours[cnum]);
r0.x = r0.x - 5;
r0.y = r0.y - 5;
r0.height = 60
r0.width = 100;
cv::rectangle(blob, r0, cv::Scalar(255, 0, 0));
human.detectMultiScale(frame(r0),rects);

Here we go my full code, look at the last line:

    cv::namedWindow("Frame");   
    cv::namedWindow("Background Model");
    cv::namedWindow("Blob");

    cv::VideoCapture cap("skenario c/3.avi");   

    cv::BackgroundSubtractorMOG2 bgs;                       
        bgs.nmixtures = 3;
        bgs.history = 1000;
        bgs.bShadowDetection = true;                            
        bgs.nShadowDetection = 0;                               
        bgs.fTau = 0.25;    

    std::vector<std::vector<cv::Point>> contours;               

    cv::CascadeClassifier human;
    assert(human.load("hogcascade_pedestrians.xml"));
    for(;;){
        cap >> frame;   

        cv::GaussianBlur(frame,blurred,cv::Size(3,3),0,0,cv::BORDER_DEFAULT);

        bgs.operator()(blurred,fg,0);                           
        bgs.getBackgroundImage(bgmodel);    

        cv::erode(fg,fg,cv::Mat(),cv::Point(-1,-1),1);                         
        cv::dilate(fg,fg,cv::Mat(),cv::Point(-1,-1),3); 

        cv::threshold(fg,threshfg,70.0f,255,CV_THRESH_BINARY);

        cv::findContours(threshfg,contours,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_SIMPLE);
        cv::cvtColor(threshfg,blob,CV_GRAY2RGB);
        cv::drawContours(blob,contours,-1,cv::Scalar(255,255,255),CV_FILLED,8);
        blob.copyTo(blobarray[(int)cap.get(CV_CAP_PROP_POS_FRAMES)]);

        int cmin = 20; 
        int cmax = 1000;
        bool FOD1 = true;
        bool FOD2 = true;
        std::vector<cv::Rect> rects;

        for(int cnum = 0; cnum < contours.size(); cnum++){

            if(contours[cnum].size() > cmin && contours[cnum].size() < cmax){       


        //I WANNA RESIZE HERE:
        human.detectMultiScale(frame(cv::boundingRect(contours[cnum])),rects);

I'll appreciate any help here, thanks. :)