Open Source Computer Vision Library https://opencv.org/
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2018 Intel Corporation
#include <iostream>
#include "opencv2/ts.hpp"
#include "opencv2/gapi.hpp"
namespace
{
inline std::ostream& operator<<(std::ostream& o, const cv::GCompileArg& arg)
{
return o << (arg.tag.empty() ? "empty" : arg.tag);
}
}
namespace opencv_test
{
class TestFunctional
{
public:
cv::Mat in_mat1;
cv::Mat in_mat2;
cv::Mat out_mat_gapi;
cv::Mat out_mat_ocv;
cv::Scalar sc;
cv::Scalar initScalarRandU(unsigned upper)
{
auto& rng = cv::theRNG();
double s1 = rng(upper);
double s2 = rng(upper);
double s3 = rng(upper);
double s4 = rng(upper);
return cv::Scalar(s1, s2, s3, s4);
}
void initMatsRandU(int type, cv::Size sz_in, int dtype, bool createOutputMatrices = true)
{
in_mat1 = cv::Mat(sz_in, type);
in_mat2 = cv::Mat(sz_in, type);
sc = initScalarRandU(100);
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
if (createOutputMatrices && dtype != -1)
{
out_mat_gapi = cv::Mat (sz_in, dtype);
out_mat_ocv = cv::Mat (sz_in, dtype);
}
}
void initMatrixRandU(int type, cv::Size sz_in, int dtype, bool createOutputMatrices = true)
{
in_mat1 = cv::Mat(sz_in, type);
sc = initScalarRandU(100);
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
if (createOutputMatrices && dtype != -1)
{
out_mat_gapi = cv::Mat (sz_in, dtype);
out_mat_ocv = cv::Mat (sz_in, dtype);
}
}
void initMatsRandN(int type, cv::Size sz_in, int dtype, bool createOutputMatrices = true)
{
in_mat1 = cv::Mat(sz_in, type);
cv::randn(in_mat1, cv::Scalar::all(127), cv::Scalar::all(40.f));
if (createOutputMatrices && dtype != -1)
{
out_mat_gapi = cv::Mat(sz_in, dtype);
out_mat_ocv = cv::Mat(sz_in, dtype);
}
}
static cv::Mat nonZeroPixels(const cv::Mat& mat)
{
int channels = mat.channels();
std::vector<cv::Mat> split(channels);
cv::split(mat, split);
cv::Mat result;
for (int c=0; c < channels; c++)
{
if (c == 0)
result = split[c] != 0;
else
result = result | (split[c] != 0);
}
return result;
}
static int countNonZeroPixels(const cv::Mat& mat)
{
return cv::countNonZero( nonZeroPixels(mat) );
}
};
template<class T>
class TestParams: public TestFunctional, public TestWithParam<T>{};
template<class T>
class TestPerfParams: public TestFunctional, public perf::TestBaseWithParam<T>{};
using compare_f = std::function<bool(const cv::Mat &a, const cv::Mat &b)>;
template<typename T>
struct Wrappable
{
compare_f to_compare_f()
{
T t = *static_cast<T*const>(this);
return [t](const cv::Mat &a, const cv::Mat &b)
{
return t(a, b);
};
}
};
}