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#include "test_precomp.hpp"

#include <string>

#ifdef HAVE_CONFIG_H 
#include <cvconfig.h> 
#endif

#ifdef HAVE_TBB
#include "tbb/task_scheduler_init.h"
#endif

using namespace cv;

const int num_detections = 3;
const float true_scores[3] = {-0.383931f, -0.825876f, -0.959934f};
const float score_thr = 0.05f;
const CvRect true_bounding_boxes[3] = {cvRect(0, 45, 362, 452), cvRect(304, 0, 64, 80), cvRect(236, 0, 108, 59)};

class CV_LatentSVMDetectorTest : public cvtest::BaseTest
{
public:
    CV_LatentSVMDetectorTest();
    ~CV_LatentSVMDetectorTest();    
protected:    
    void run(int);
private:
	bool isEqual(CvRect r1, CvRect r2);
};

CV_LatentSVMDetectorTest::CV_LatentSVMDetectorTest()
{
}

CV_LatentSVMDetectorTest::~CV_LatentSVMDetectorTest() {}

bool CV_LatentSVMDetectorTest::isEqual(CvRect r1, CvRect r2)
{
	return ((r1.x == r2.x) && (r1.y == r2.y) && (r1.width == r2.width) && (r1.height == r2.height));
}

void CV_LatentSVMDetectorTest::run( int /* start_from */)
{      
    string img_path = string(ts->get_data_path()) + "latentsvmdetector/cat.jpg";
	string model_path = string(ts->get_data_path()) + "latentsvmdetector/cat.xml";
    int numThreads = -1;
#ifdef HAVE_TBB
    numThreads = 2;
    tbb::task_scheduler_init init(tbb::task_scheduler_init::deferred);
	init.initialize(numThreads);
#endif
	IplImage* image = cvLoadImage(img_path.c_str());
	if (!image)
    {
        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
        return;
    }

	CvLatentSvmDetector* detector = cvLoadLatentSvmDetector(model_path.c_str());
	if (!detector)
	{
		ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
		cvReleaseImage(&image);
		return;
	}

	CvMemStorage* storage = cvCreateMemStorage(0);
    CvSeq* detections = 0;         
    detections = cvLatentSvmDetectObjects(image, detector, storage, 0.5f, numThreads);
	if (detections->total != num_detections)
	{
		ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
	}
	else
	{
		ts->set_failed_test_info(cvtest::TS::OK);
		for (int i = 0; i < detections->total; i++)
		{
			CvObjectDetection detection = *(CvObjectDetection*)cvGetSeqElem( detections, i );
			CvRect bounding_box = detection.rect;
			float score = detection.score;
			if ((!isEqual(bounding_box, true_bounding_boxes[i])) || (fabs(score - true_scores[i]) > score_thr))
			{
				ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
				break;
			}
		}
	}
#ifdef HAVE_TBB
    init.terminate();
#endif
	cvReleaseMemStorage( &storage );
	cvReleaseLatentSvmDetector( &detector );
    cvReleaseImage( &image );
}

TEST(Objdetect_LatentSVMDetector, regression) { CV_LatentSVMDetectorTest test; test.safe_run(); }