Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
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// License Agreement
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//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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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(); }