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i made a quick try with your image, results are shabby ;(

wget --no-check-certificate https://github.com/Itseez/open cv_extra/raw/master/testdata/cv/dpm/VOC2007_Cascade/cow.xml

and for this i already had to crop it to a small part (low mem here) and upscale by a factor of 2

i made a quick try with your image, results are shabby so-la-la ;(

wget --no-check-certificate https://github.com/Itseez/open cv_extra/raw/master/testdata/cv/dpm/VOC2007_Cascade/cow.xml

and for this i already had to crop it to a small part (low mem here) and upscale by a factor of 2

i made a quick try with your image, results are so-la-la ;(

wget --no-check-certificate https://github.com/Itseez/open cv_extra/raw/master/testdata/cv/dpm/VOC2007_Cascade/cow.xmlhttps://github.com/Itseez/opencv_extra/raw/master/testdata/cv/dpm/VOC2007_Cascade/cow.xml

and for this i already had to crop it to a small part (low mem here) and upscale by a factor of 2

i made a quick try (dpm) with your image, results are so-la-la ;(

wget --no-check-certificate https://github.com/Itseez/opencv_extra/raw/master/testdata/cv/dpm/VOC2007_Cascade/cow.xml

and for this i already had to crop it to a small part (low mem here) and upscale by a factor of 2

i made a quick try (dpm) with your image, results are so-la-la ;(

wget --no-check-certificate https://github.com/Itseez/opencv_extra/raw/master/testdata/cv/dpm/VOC2007_Cascade/cow.xml

and for this i already had to crop it to a small part (low mem here) and upscale by a factor of 2

#include <opencv2/dpm.hpp>
#include <opencv2/opencv.hpp>

#include <iostream>

using namespace cv;
using namespace cv::dpm;
using namespace std;

int main( int argc, char** argv )
{
    vector<string> models;
    vector<string> names;
    //names.push_back("car");
    //models.push_back("car.xml");
    names.push_back("cow");
    models.push_back("cow.xml");

    cv::Ptr<DPMDetector> detector = DPMDetector::create(models,names);
    cerr << "loaded " << models.size() << " models" << endl;

    Mat frame = imread("cow.png");
    resize(frame,frame,Size(),2,2);
    namedWindow("DPM Cascade Detection", 1);
    // the color of the rectangle
    Scalar color[3] = { Scalar(0, 255, 255),  Scalar(0, 255, 0),  Scalar(0, 0, 255) };


    double t = (double) getTickCount();

    // detection
    vector<DPMDetector::ObjectDetection> ds;
    detector->detect(frame.clone(), ds); // it somehow eats the image ;(

    t = ((double) getTickCount() - t)/getTickFrequency();//elapsed time
    cerr << "dpm took " << t << " seconds" << endl;
    for (unsigned int i = 0; i < ds.size(); i++)
    {
        int id = ds[i].classID;
        cerr << names[id] << "\t" << ds[i].score << "\t" << ds[i].rect << endl;
        //if (ds[i].score < -0.95)
        //    continue;
        rectangle(frame, ds[i].rect, Scalar(0, 255, 255), 1);
    }

    imshow("DPM Cascade Detection", frame);
    imwrite("cow_det.png", frame);

    waitKey(0);

    return 0;
}

i made a quick try (dpm) with your image, results are so-la-la ;(

wget --no-check-certificate https://github.com/Itseez/opencv_extra/raw/master/testdata/cv/dpm/VOC2007_Cascade/cow.xml

and for this i already had to crop it to a small part (low mem here) and upscale by a factor of 2

#include <opencv2/dpm.hpp>
#include <opencv2/opencv.hpp>

#include <iostream>

using namespace cv;
using namespace cv::dpm;
using namespace std;

int main( int argc, char** argv )
{
    // you can load/detect several cascades at once.

    vector<string> models;
    vector<string> names;
    //names.push_back("car");
    //models.push_back("car.xml");
    names.push_back("cow");
    models.push_back("cow.xml");

    cv::Ptr<DPMDetector> detector = DPMDetector::create(models,names);
    cerr << "loaded " << models.size() << " models" << endl;

    Mat frame = imread("cow.png");
    resize(frame,frame,Size(),2,2);
    namedWindow("DPM Cascade Detection", 1);
    // the color of the rectangle
    Scalar color[3] = { Scalar(0, 255, 255),  Scalar(0, 255, 0),  Scalar(0, 0, 255) };
1);   

    double t = (double) getTickCount();

    // detection
    vector<DPMDetector::ObjectDetection> ds;
    detector->detect(frame.clone(), ds); // it somehow eats the image ;(

    t = ((double) getTickCount() - t)/getTickFrequency();//elapsed time
    cerr << "dpm took " << t << " seconds" << endl;
     for (unsigned int i = 0; i < ds.size(); i++)
    {
        int id = ds[i].classID;
        cerr << names[id] << "\t" << ds[i].score << "\t" << ds[i].rect << endl;
        //
        // there's a "<ScoreThreshold>" tag hidden in the xml !
        //
        //if (ds[i].score < -0.95)
        //    continue;
        rectangle(frame, ds[i].rect, Scalar(0, 255, 255), 1);
    }

    imshow("DPM Cascade Detection", frame);
    imwrite("cow_det.png", frame);

    waitKey(0);

    return 0;
}