Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "test_precomp.hpp"
#include <time.h>
#define IMGPROC_BOUNDINGRECT_ERROR_DIFF 1
#define MESSAGE_ERROR_DIFF "Bounding rectangle found by boundingRect function is incorrect."
using namespace cv;
using namespace std;
class CV_BoundingRectTest: public cvtest::ArrayTest
{
public:
CV_BoundingRectTest();
~CV_BoundingRectTest();
protected:
void run (int);
private:
template <typename T> void generate_src_points(vector <Point_<T> >& src, int n);
template <typename T> cv::Rect get_bounding_rect(const vector <Point_<T> > src);
template <typename T> bool checking_function_work(vector <Point_<T> >& src, int type);
};
CV_BoundingRectTest::CV_BoundingRectTest() {}
CV_BoundingRectTest::~CV_BoundingRectTest() {}
template <typename T> void CV_BoundingRectTest::generate_src_points(vector <Point_<T> >& src, int n)
{
src.clear();
for (int i = 0; i < n; ++i)
src.push_back(Point_<T>(cv::randu<T>(), cv::randu<T>()));
}
template <typename T> cv::Rect CV_BoundingRectTest::get_bounding_rect(const vector <Point_<T> > src)
{
int n = (int)src.size();
T min_w = std::numeric_limits<T>::max(), max_w = std::numeric_limits<T>::min();
T min_h = min_w, max_h = max_w;
for (int i = 0; i < n; ++i)
{
min_w = std::min<T>(src.at(i).x, min_w);
max_w = std::max<T>(src.at(i).x, max_w);
min_h = std::min<T>(src.at(i).y, min_h);
max_h = std::max<T>(src.at(i).y, max_h);
}
return Rect((int)min_w, (int)min_h, (int)max_w-(int)min_w + 1, (int)max_h-(int)min_h + 1);
}
template <typename T> bool CV_BoundingRectTest::checking_function_work(vector <Point_<T> >& src, int type)
{
const int MAX_COUNT_OF_POINTS = 1000;
const int N = 10000;
for (int k = 0; k < N; ++k)
{
RNG& rng = ts->get_rng();
int n = rng.next()%MAX_COUNT_OF_POINTS + 1;
generate_src_points <T> (src, n);
cv::Rect right = get_bounding_rect <T> (src);
cv::Rect rect[2] = { boundingRect(src), boundingRect(Mat(src)) };
for (int i = 0; i < 2; ++i) if (rect[i] != right)
{
cout << endl; cout << "Checking for the work of boundingRect function..." << endl;
cout << "Type of src points: ";
switch (type)
{
case 0: {cout << "INT"; break;}
case 1: {cout << "FLOAT"; break;}
default: break;
}
cout << endl;
cout << "Src points are stored as "; if (i == 0) cout << "VECTOR" << endl; else cout << "MAT" << endl;
cout << "Number of points: " << n << endl;
cout << "Right rect (x, y, w, h): [" << right.x << ", " << right.y << ", " << right.width << ", " << right.height << "]" << endl;
cout << "Result rect (x, y, w, h): [" << rect[i].x << ", " << rect[i].y << ", " << rect[i].width << ", " << rect[i].height << "]" << endl;
cout << endl;
CV_Error(IMGPROC_BOUNDINGRECT_ERROR_DIFF, MESSAGE_ERROR_DIFF);
return false;
}
}
return true;
}
void CV_BoundingRectTest::run(int)
{
vector <Point> src_veci; if (!checking_function_work(src_veci, 0)) return;
vector <Point2f> src_vecf; checking_function_work(src_vecf, 1);
}
TEST (Imgproc_BoundingRect, accuracy) { CV_BoundingRectTest test; test.safe_run(); }