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2016-06-06 03:37:36 -0500 asked a question does this code support for opencv 3.0? what are the libraries for this code.i had tried this code in opencv3.0 and also opencv3.1 in visual studio 2013,please help me to solve this problem

include <opencv2 opencv.hpp="">

include <iostream>

include <vector>

int main(int argc, char *argv[]) { if (argc < 3) { std::cerr << "Usage: " << argv[0] << " in.file out.file" << std::endl; return -1; }

cv::Mat frame;
cv::Mat back;
cv::Mat fore;
std::cerr << "opening " << argv[1] << std::endl;
cv::VideoCapture cap(argv[1]);
cv::Ptr<cv::BackgroundSubtractor> bg = cv::createBackgroundSubtractorMOG2();

//bg.nmixtures = 3; //bg.bShadowDetection = false;

cv::VideoWriter output;

//int ex = static_cast<int>(cap.get(CV_CAP_PROP_FOURCC)); int ex = CV_FOURCC('P', 'I', 'M', '1'); cv::Size size = cv::Size((int)cap.get(CV_CAP_PROP_FRAME_WIDTH), (int)cap.get(CV_CAP_PROP_FRAME_HEIGHT)); std::cerr << "saving to " << argv[2] << std::endl; output.open(argv[2], ex, cap.get(CV_CAP_PROP_FPS), size, true);

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

cv::namedWindow("Frame");
cv::namedWindow("Fore");
cv::namedWindow("Background");


cv::SimpleBlobDetector::Params params;
params.minThreshold = 40;
params.maxThreshold = 60;
params.thresholdStep = 5;
params.minArea = 100;
params.minConvexity = 0.3;
params.minInertiaRatio = 0.01;
params.maxArea = 8000;
params.maxConvexity = 10;
params.filterByColor = false;
params.filterByCircularity = false;


cv::Ptr<cv::SimpleBlobDetector> blobDtor = cv::SimpleBlobDetector::create(params);

std::vector<std::vector<cv::Point> >    blobContours;
std::vector<cv::KeyPoint>               keyPoints;
cv::Mat                                 out;

cv::HOGDescriptor hog;
hog.setSVMDetector(cv::HOGDescriptor::getDefaultPeopleDetector());


for (;;)
{
    cap >> frame;

    bg->apply(frame, fore);

    bg->getBackgroundImage(back);
    cv::erode(fore, fore, cv::Mat());
    cv::dilate(fore, fore, cv::Mat());

    blobDtor->detect(fore, keyPoints, cv::Mat());

    //cv::imshow("Fore", fore);

    cv::findContours(fore, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
    cv::drawContours(frame, contours, -1, cv::Scalar(0, 0, 255), 2);

    std::vector<std::vector<cv::Point> >::const_iterator it = contours.begin();
    std::vector<std::vector<cv::Point> >::const_iterator end = contours.end();
    while (it != end)
    {
        cv::Rect bounds = cv::boundingRect(*it);
        cv::rectangle(frame, bounds, cv::Scalar(0, 255, 0), 2);

        ++it;
    }

    cv::drawKeypoints(fore, keyPoints, out, CV_RGB(0, 255, 0), cv::DrawMatchesFlags::DEFAULT);
    cv::imshow("Fore", out);


    std::vector<cv::Rect> found, found_filtered;
    hog.detectMultiScale(frame, found, 0, cv::Size(8, 8), cv::Size(32, 32), 1.05, 2);
    for (int i = 0; i < found.size(); ++i)
    {
        cv::Rect r = found[i];
        int j = 0;
        for (; j < found.size(); ++j)
        {
            if (j != i && (r & found[j]) == r)
            {
                break;
            }
        }
        if (j == found.size())
        {
            found_filtered.push_back(r);
        }
    }

    for (int i = 0; i < found_filtered.size(); ++i)
    {
        cv::Rect r = found_filtered[i];
        cv::rectangle(frame, r.tl(), r.br(), cv::Scalar(255, 0, 0), 3);
    }


    output << frame;

    cv::resize(frame, frame, cv::Size(1280, 720));
    cv::imshow("Frame", frame);

    cv::resize(back, back, cv::Size(1280, 720));
    cv::imshow("Background", back);



    if (cv::waitKey(30) >= 0) break;
}
return 0;

}

2016-06-05 14:32:30 -0500 asked a question error LNK1181 opencv_calib3d300d.lib errrr

opencv 3.1 version visual studio 2013.my code doesn't wrk.there is aerrr error LNK1181 opencv_calib3d300d.lib

2016-06-05 04:57:06 -0500 asked a question my code doesn't work.plzz help me

Error 1 error C2259: 'cv::BackgroundSubtractorMOG2' : cannot instantiate abstract class c:\Users Error 4 error C2664: 'cv::SimpleBlobDetector::SimpleBlobDetector(const cv::SimpleBlobDetector &)' : cannot convert argument 1 from 'cv::SimpleBlobDetector::Params' to 'const cv::SimpleBlobDetector &' Error 5 error C2664: 'cv::Ptr<cv::simpleblobdetector> cv::SimpleBlobDetector::create(const cv::SimpleBlobDetector::Params &)' : cannot convert argument 1 from 'const char [11]' to 'const cv::SimpleBlobDetector::Params &'
Error 6 error C2039: '()' : is not a member of 'cv::BackgroundSubtractorMOG2'

include<opencv2 opencv.hpp="">

include<iostream>

include<vector>

int main(int argc, char *argv[]) { if (argc < 3) { std::cerr << "Usage: " << argv[0] << " in.file out.file" << std::endl; return -1; }

cv::Mat frame;
cv::Mat back;
cv::Mat fore;
std::cerr << "opening " << argv[1] << std::endl;
cv::VideoCapture cap(argv[1]);
cv::BackgroundSubtractorMOG2 bg;
//bg.nmixtures = 3;
//bg.bShadowDetection = false;

cv::VideoWriter output;
//int ex = static_cast<int>(cap.get(CV_CAP_PROP_FOURCC));
int ex = CV_FOURCC('P', 'I', 'M', '1');
cv::Size size = cv::Size((int)cap.get(CV_CAP_PROP_FRAME_WIDTH),
    (int)cap.get(CV_CAP_PROP_FRAME_HEIGHT));
std::cerr << "saving to " << argv[2] << std::endl;
output.open(argv[2], ex, cap.get(CV_CAP_PROP_FPS), size, true);

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

cv::namedWindow("Frame");
cv::namedWindow("Fore");
cv::namedWindow("Background");


cv::SimpleBlobDetector::Params params;
params.minThreshold = 40;
params.maxThreshold = 60;
params.thresholdStep = 5;
params.minArea = 100;
params.minConvexity = 0.3;
params.minInertiaRatio = 0.01;
params.maxArea = 8000;
params.maxConvexity = 10;
params.filterByColor = false;
params.filterByCircularity = false;


cv::SimpleBlobDetector blobDtor(params);
blobDtor.create("SimpleBlob");

std::vector<std::vector<cv::Point> >    blobContours;
std::vector<cv::KeyPoint>               keyPoints;
cv::Mat                                 out;

cv::HOGDescriptor hog;
hog.setSVMDetector(cv::HOGDescriptor::getDefaultPeopleDetector());


for (;;)
{
    cap >> frame;

    bg.operator ()(frame, fore);

    bg.getBackgroundImage(back);
    cv::erode(fore, fore, cv::Mat());
    cv::dilate(fore, fore, cv::Mat());

    blobDtor.detect(fore, keyPoints, cv::Mat());

    //cv::imshow("Fore", fore);

    cv::findContours(fore, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
    cv::drawContours(frame, contours, -1, cv::Scalar(0, 0, 255), 2);

    std::vector<std::vector<cv::Point> >::const_iterator it = contours.begin();
    std::vector<std::vector<cv::Point> >::const_iterator end = contours.end();
    while (it != end) {
        cv::Rect bounds = cv::boundingRect(*it);
        cv::rectangle(frame, bounds, cv::Scalar(0, 255, 0), 2);

        ++it;
    }

    cv::drawKeypoints(fore, keyPoints, out, CV_RGB(0, 255, 0), cv::DrawMatchesFlags::DEFAULT);
    cv::imshow("Fore", out);


    std::vector<cv::Rect> found, found_filtered;
    hog.detectMultiScale(frame, found, 0, cv::Size(8, 8), cv::Size(32, 32), 1.05, 2);
    for (int i = 0; i < found.size(); ++i) {
        cv::Rect r = found[i];
        int j = 0;
        for (; j < found.size(); ++j) {
            if (j != i && (r & found[j]) == r) {
                break;
            }
        }
        if (j == found.size()) {
            found_filtered.push_back(r);
        }
    }

    for (int i = 0; i < found_filtered.size(); ++i) {
        cv::Rect r = found_filtered[i];
        cv::rectangle(frame, r.tl(), r.br(), cv::Scalar(255, 0, 0), 3);
    }


    output << frame;

    cv::resize(frame, frame, cv::Size(1280, 720));
    cv::imshow("Frame", frame);

    cv::resize(back, back, cv::Size(1280, 720));
    cv::imshow("Background", back);



    if (cv::waitKey(30) >= 0) break;
}
return 0;

}