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#include "test_precomp.hpp"

#include <vector>
#include <string>
using namespace std;
using namespace cv;

class CV_MserTest : public cvtest::BaseTest
{
public:
    CV_MserTest();  
protected:    
    void run(int);
	int LoadBoxes(const char* path, vector<CvBox2D>& boxes);
	int SaveBoxes(const char* path, const vector<CvBox2D>& boxes);
	int CompareBoxes(const vector<CvBox2D>& boxes1,const vector<CvBox2D>& boxes2, float max_rel_diff = 0.01f);
};

CV_MserTest::CV_MserTest()
{
}

int CV_MserTest::LoadBoxes(const char* path, vector<CvBox2D>& boxes)
{
	boxes.clear();
	FILE* f = fopen(path,"r");

	if (f==NULL)
	{
		return 0;
	}
	
	while (!feof(f))
	{
		CvBox2D box;
		fscanf(f,"%f,%f,%f,%f,%f\n",&box.angle,&box.center.x,&box.center.y,&box.size.width,&box.size.height);
		boxes.push_back(box);
	}
	fclose(f);
	return 1;
}

int CV_MserTest::SaveBoxes(const char* path, const vector<CvBox2D>& boxes)
{
	FILE* f = fopen(path,"w");
	if (f==NULL)
	{
		return 0;
	}
	for (int i=0;i<(int)boxes.size();i++)
	{
		fprintf(f,"%f,%f,%f,%f,%f\n",boxes[i].angle,boxes[i].center.x,boxes[i].center.y,boxes[i].size.width,boxes[i].size.height);
	}
	fclose(f);
	return 1;
}

int CV_MserTest::CompareBoxes(const vector<CvBox2D>& boxes1,const vector<CvBox2D>& boxes2, float max_rel_diff)
{
	if (boxes1.size() != boxes2.size())
		return 0;

	for (int i=0; i<(int)boxes1.size();i++)
	{
		float rel_diff;
		if (!((boxes1[i].angle == 0.0f) && (abs(boxes2[i].angle) < max_rel_diff)))
		{
			rel_diff = abs(boxes1[i].angle-boxes2[i].angle)/abs(boxes1[i].angle);
			if (rel_diff > max_rel_diff)
				return i;
		}

		if (!((boxes1[i].center.x == 0.0f) && (abs(boxes2[i].center.x) < max_rel_diff)))
		{
			rel_diff = abs(boxes1[i].center.x-boxes2[i].center.x)/abs(boxes1[i].center.x);
			if (rel_diff > max_rel_diff)
				return i;
		}

		if (!((boxes1[i].center.y == 0.0f) && (abs(boxes2[i].center.y) < max_rel_diff)))
		{
			rel_diff = abs(boxes1[i].center.y-boxes2[i].center.y)/abs(boxes1[i].center.y);
			if (rel_diff > max_rel_diff)
				return i;
		}
		if (!((boxes1[i].size.width == 0.0f) && (abs(boxes2[i].size.width) < max_rel_diff)))
		{
			rel_diff = abs(boxes1[i].size.width-boxes2[i].size.width)/abs(boxes1[i].size.width);
			if (rel_diff > max_rel_diff)
			return i;
		}

		if (!((boxes1[i].size.height == 0.0f) && (abs(boxes2[i].size.height) < max_rel_diff)))
		{
			rel_diff = abs(boxes1[i].size.height-boxes2[i].size.height)/abs(boxes1[i].size.height);
			if (rel_diff > max_rel_diff)
				return i;
		}
	}

	return -1;
}

void CV_MserTest::run(int)
{
	string image_path = string(ts->get_data_path()) + "mser/puzzle.png";

	IplImage* img = cvLoadImage( image_path.c_str());
	if (!img)
	{
		ts->printf( cvtest::TS::LOG, "Unable to open image mser/puzzle.png\n");
		ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
		return;
	}

	CvSeq* contours;
	CvMemStorage* storage= cvCreateMemStorage();
	IplImage* hsv = cvCreateImage( cvGetSize( img ), IPL_DEPTH_8U, 3 );
	cvCvtColor( img, hsv, CV_BGR2YCrCb );
	CvMSERParams params = cvMSERParams();//cvMSERParams( 5, 60, cvRound(.2*img->width*img->height), .25, .2 );
	cvExtractMSER( hsv, NULL, &contours, storage, params );

	vector<CvBox2D> boxes;
	vector<CvBox2D> boxes_orig;
	for ( int i = 0; i < contours->total; i++ )
	{
		CvContour* r = *(CvContour**)cvGetSeqElem( contours, i );
		CvBox2D box = cvFitEllipse2( r );
		box.angle=(float)CV_PI/2-box.angle;
		boxes.push_back(box);			
	}

	string boxes_path = string(ts->get_data_path()) + "mser/boxes.txt";
	
	if (!LoadBoxes(boxes_path.c_str(),boxes_orig))
	{
		SaveBoxes(boxes_path.c_str(),boxes);
		ts->printf( cvtest::TS::LOG, "Unable to open data file mser/boxes.txt\n");
		ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
		return;
	}

	const float dissimularity = 0.01f;
	int n_box = CompareBoxes(boxes_orig,boxes,dissimularity);
	if (n_box < 0)
	{
		ts->set_failed_test_info(cvtest::TS::OK);
	}
	else
	{
		ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
		ts->printf( cvtest::TS::LOG, "Incorrect correspondence in %d box\n",n_box);
	}

	cvReleaseMemStorage(&storage);
	cvReleaseImage(&hsv);
	cvReleaseImage(&img);
}

TEST(Features2d_MSER, regression) { CV_MserTest test; test.safe_run(); }