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) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
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#include "precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"
namespace cvtest {
namespace ocl {
using namespace cv;
int test_loop_times = 1; // TODO Read from command line / environment
Mat TestUtils::readImage(const String &fileName, int flags)
{
return cv::imread(cvtest::TS::ptr()->get_data_path() + fileName, flags);
}
Mat TestUtils::readImageType(const String &fname, int type)
{
Mat src = readImage(fname, CV_MAT_CN(type) == 1 ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR);
if (CV_MAT_CN(type) == 4)
{
Mat temp;
cv::cvtColor(src, temp, cv::COLOR_BGR2BGRA);
swap(src, temp);
}
src.convertTo(src, CV_MAT_DEPTH(type));
return src;
}
double TestUtils::checkNorm1(InputArray m, InputArray mask)
{
return cvtest::norm(m.getMat(), NORM_INF, mask.getMat());
}
double TestUtils::checkNorm2(InputArray m1, InputArray m2, InputArray mask)
{
return cvtest::norm(m1.getMat(), m2.getMat(), NORM_INF, mask.getMat());
}
double TestUtils::checkSimilarity(InputArray m1, InputArray m2)
{
Mat diff;
matchTemplate(m1.getMat(), m2.getMat(), diff, cv::TM_CCORR_NORMED);
return std::abs(diff.at<float>(0, 0) - 1.f);
}
double TestUtils::checkRectSimilarity(const Size & sz, std::vector<Rect>& ob1, std::vector<Rect>& ob2)
{
double final_test_result = 0.0;
size_t sz1 = ob1.size();
size_t sz2 = ob2.size();
if (sz1 != sz2)
return sz1 > sz2 ? (double)(sz1 - sz2) : (double)(sz2 - sz1);
else
{
if (sz1 == 0 && sz2 == 0)
return 0;
cv::Mat cpu_result(sz, CV_8UC1);
cpu_result.setTo(0);
for (vector<Rect>::const_iterator r = ob1.begin(); r != ob1.end(); ++r)
{
cv::Mat cpu_result_roi(cpu_result, *r);
cpu_result_roi.setTo(1);
cpu_result.copyTo(cpu_result);
}
int cpu_area = cv::countNonZero(cpu_result > 0);
cv::Mat gpu_result(sz, CV_8UC1);
gpu_result.setTo(0);
for(vector<Rect>::const_iterator r2 = ob2.begin(); r2 != ob2.end(); ++r2)
{
cv::Mat gpu_result_roi(gpu_result, *r2);
gpu_result_roi.setTo(1);
gpu_result.copyTo(gpu_result);
}
cv::Mat result_;
multiply(cpu_result, gpu_result, result_);
int result = cv::countNonZero(result_ > 0);
if (cpu_area!=0 && result!=0)
final_test_result = 1.0 - (double)result/(double)cpu_area;
else if(cpu_area==0 && result!=0)
final_test_result = -1;
}
return final_test_result;
}
void TestUtils::showDiff(InputArray _src, InputArray _gold, InputArray _actual, double eps, bool alwaysShow)
{
Mat src = _src.getMat(), actual = _actual.getMat(), gold = _gold.getMat();
Mat diff, diff_thresh;
absdiff(gold, actual, diff);
diff.convertTo(diff, CV_32F);
threshold(diff, diff_thresh, eps, 255.0, cv::THRESH_BINARY);
if (alwaysShow || cv::countNonZero(diff_thresh.reshape(1)) > 0)
{
#if 0
std::cout << "Source: " << std::endl << src << std::endl;
std::cout << "Expected: " << std::endl << gold << std::endl;
std::cout << "Actual: " << std::endl << actual << std::endl;
#endif
namedWindow("src", WINDOW_NORMAL);
namedWindow("gold", WINDOW_NORMAL);
namedWindow("actual", WINDOW_NORMAL);
namedWindow("diff", WINDOW_NORMAL);
imshow("src", src);
imshow("gold", gold);
imshow("actual", actual);
imshow("diff", diff);
cv::waitKey();
}
}
} } // namespace cvtest::ocl