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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) 2018-2019 Intel Corporation
#ifndef OPENCV_GAPI_TESTS_COMMON_HPP
#define OPENCV_GAPI_TESTS_COMMON_HPP
#include <iostream>
#include <tuple>
#include <type_traits>
#include <opencv2/ts.hpp>
#include <opencv2/gapi.hpp>
#include <opencv2/gapi/util/util.hpp>
#include "gapi_tests_helpers.hpp"
#include <opencv2/gapi/render/render.hpp>
namespace
{
inline std::ostream& operator<<(std::ostream& o, const cv::GCompileArg& arg)
{
return o << (arg.tag.empty() ? "empty" : arg.tag);
}
inline std::ostream& operator<<(std::ostream& o, const cv::gapi::wip::draw::Prim& p)
{
using namespace cv::gapi::wip::draw;
switch (p.index())
{
case Prim::index_of<Rect>():
o << "cv::gapi::draw::Rect";
break;
case Prim::index_of<Text>():
o << "cv::gapi::draw::Text";
break;
case Prim::index_of<Circle>():
o << "cv::gapi::draw::Circle";
break;
case Prim::index_of<Line>():
o << "cv::gapi::draw::Line";
break;
case Prim::index_of<Mosaic>():
o << "cv::gapi::draw::Mosaic";
break;
case Prim::index_of<Image>():
o << "cv::gapi::draw::Image";
break;
case Prim::index_of<Poly>():
o << "cv::gapi::draw::Poly";
break;
default: o << "Unrecognized primitive";
}
return o;
}
}
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); // FIXIT: RNG result is 'int', not double
double s2 = rng(upper);
double s3 = rng(upper);
double s4 = rng(upper);
return cv::Scalar(s1, s2, s3, s4);
}
void initOutMats(cv::Size sz_in, int dtype)
{
if (dtype != -1)
{
out_mat_gapi = cv::Mat(sz_in, dtype);
out_mat_ocv = cv::Mat(sz_in, dtype);
}
}
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);
// Details: https://github.com/opencv/opencv/pull/16083
//if (CV_MAT_DEPTH(type) < CV_32F)
if (1)
{
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
}
else
{
const int fscale = 256; // avoid bits near ULP, generate stable test input
Mat in_mat32s(in_mat1.size(), CV_MAKE_TYPE(CV_32S, CV_MAT_CN(type)));
cv::randu(in_mat32s, cv::Scalar::all(0), cv::Scalar::all(255 * fscale));
in_mat32s.convertTo(in_mat1, type, 1.0f / fscale, 0);
cv::randu(in_mat32s, cv::Scalar::all(0), cv::Scalar::all(255 * fscale));
in_mat32s.convertTo(in_mat2, type, 1.0f / fscale, 0);
}
if (createOutputMatrices)
{
initOutMats(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);
if (CV_MAT_DEPTH(type) < CV_32F)
{
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
}
else
{
const int fscale = 256; // avoid bits near ULP, generate stable test input
Mat in_mat32s(in_mat1.size(), CV_MAKE_TYPE(CV_32S, CV_MAT_CN(type)));
cv::randu(in_mat32s, cv::Scalar::all(0), cv::Scalar::all(255 * fscale));
in_mat32s.convertTo(in_mat1, type, 1.0f / fscale, 0);
}
if (createOutputMatrices)
{
initOutMats(sz_in, dtype);
}
}
void initMatrixRandN(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)
{
initOutMats(sz_in, dtype);
}
}
// empty function intended to show that nothing is to be initialized via TestFunctional methods
void initNothing(int, cv::Size, int, bool = true) {}
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)>;
using compare_scalar_f = std::function<bool(const cv::Scalar &a, const cv::Scalar &b)>;
// FIXME: re-use MatType. current problem: "special values" interpreted incorrectly (-1 is printed
// as 16FC512)
struct MatType2
{
public:
MatType2(int val = 0) : _value(val) {}
operator int() const { return _value; }
friend std::ostream& operator<<(std::ostream& os, const MatType2& t)
{
switch (t)
{
case -1: return os << "SAME_TYPE";
default: PrintTo(MatType(t), &os); return os;
}
}
private:
int _value;
};
// Universal parameter wrapper for common (pre-defined) and specific (user-defined) parameters
template<typename ...SpecificParams>
struct Params
{
using gcomp_args_function_t = cv::GCompileArgs(*)();
using common_params_t = std::tuple<MatType2, cv::Size, MatType2, gcomp_args_function_t>;
using specific_params_t = std::tuple<SpecificParams...>;
using params_t = std::tuple<MatType2, cv::Size, MatType2, gcomp_args_function_t, SpecificParams...>;
static constexpr const size_t common_params_size = std::tuple_size<common_params_t>::value;
static constexpr const size_t specific_params_size = std::tuple_size<specific_params_t>::value;
template<size_t I>
static const typename std::tuple_element<I, common_params_t>::type&
getCommon(const params_t& t)
{
static_assert(I < common_params_size, "Index out of range");
return std::get<I>(t);
}
template<size_t I>
static const typename std::tuple_element<I, specific_params_t>::type&
getSpecific(const params_t& t)
{
static_assert(specific_params_size > 0,
"Impossible to call this function: no specific parameters specified");
static_assert(I < specific_params_size, "Index out of range");
return std::get<common_params_size + I>(t);
}
};
// Base class for test fixtures
template<typename ...SpecificParams>
struct TestWithParamBase : TestFunctional,
TestWithParam<typename Params<SpecificParams...>::params_t>
{
using AllParams = Params<SpecificParams...>;
MatType2 type = getCommonParam<0>();
cv::Size sz = getCommonParam<1>();
MatType2 dtype = getCommonParam<2>();
// Get common (pre-defined) parameter value by index
template<size_t I>
inline auto getCommonParam() const
-> decltype(AllParams::template getCommon<I>(this->GetParam()))
{
return AllParams::template getCommon<I>(this->GetParam());
}
// Get specific (user-defined) parameter value by index
template<size_t I>
inline auto getSpecificParam() const
-> decltype(AllParams::template getSpecific<I>(this->GetParam()))
{
return AllParams::template getSpecific<I>(this->GetParam());
}
// Return G-API compile arguments specified for test fixture
inline cv::GCompileArgs getCompileArgs() const
{
return getCommonParam<3>()();
}
};
/**
* @private
* @brief Create G-API test fixture with TestWithParamBase base class
* @param Fixture test fixture name
* @param InitF callable that will initialize default available members (from TestFunctional)
* @param API base class API. Specifies types of user-defined parameters. If there are no such
* parameters, empty angle brackets ("<>") must be specified.
* @param Number number of user-defined parameters (corresponds to the number of types in API).
* if there are no such parameters, 0 must be specified.
* @param ... list of names of user-defined parameters. if there are no parameters, the list
* must be empty.
*/
#define GAPI_TEST_FIXTURE(Fixture, InitF, API, Number, ...) \
struct Fixture : public TestWithParamBase API { \
static_assert(Number == AllParams::specific_params_size, \
"Number of user-defined parameters doesn't match size of __VA_ARGS__"); \
__WRAP_VAARGS(DEFINE_SPECIFIC_PARAMS_##Number(__VA_ARGS__)) \
Fixture() { InitF(type, sz, dtype); } \
};
// Wrapper for test fixture API. Use to specify multiple types.
// Example: FIXTURE_API(int, bool) expands to <int, bool>
#define FIXTURE_API(...) <__VA_ARGS__>
template<typename T1, typename T2>
struct CompareF
{
using callable_t = std::function<bool(const T1& a, const T2& b)>;
CompareF(callable_t&& cmp, std::string&& cmp_name) :
_comparator(std::move(cmp)), _name(std::move(cmp_name)) {}
bool operator()(const T1& a, const T2& b) const
{
return _comparator(a, b);
}
friend std::ostream& operator<<(std::ostream& os, const CompareF<T1, T2>& obj)
{
return os << obj._name;
}
private:
callable_t _comparator;
std::string _name;
};
using CompareMats = CompareF<cv::Mat, cv::Mat>;
using CompareScalars = CompareF<cv::Scalar, cv::Scalar>;
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);
};
}
CompareMats to_compare_obj()
{
T t = *static_cast<T*const>(this);
std::stringstream ss;
ss << t;
return CompareMats(to_compare_f(), ss.str());
}
};
template<typename T>
struct WrappableScalar
{
compare_scalar_f to_compare_f()
{
T t = *static_cast<T*const>(this);
return [t](const cv::Scalar &a, const cv::Scalar &b)
{
return t(a, b);
};
}
CompareScalars to_compare_obj()
{
T t = *static_cast<T*const>(this);
std::stringstream ss;
ss << t;
return CompareScalars(to_compare_f(), ss.str());
}
};
class AbsExact : public Wrappable<AbsExact>
{
public:
AbsExact() {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
if (cv::norm(in1, in2, NORM_INF) != 0)
{
std::cout << "AbsExact error: G-API output and reference output matrixes are not bitexact equal." << std::endl;
return false;
}
else
{
return true;
}
}
friend std::ostream& operator<<(std::ostream& os, const AbsExact&)
{
return os << "AbsExact()";
}
};
class AbsTolerance : public Wrappable<AbsTolerance>
{
public:
AbsTolerance(double tol) : _tol(tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
if (cv::norm(in1, in2, NORM_INF) > _tol)
{
std::cout << "AbsTolerance error: Number of different pixels in " << std::endl;
std::cout << "G-API output and reference output matrixes exceeds " << _tol << " pixels threshold." << std::endl;
return false;
}
else
{
return true;
}
}
friend std::ostream& operator<<(std::ostream& os, const AbsTolerance& obj)
{
return os << "AbsTolerance(" << std::to_string(obj._tol) << ")";
}
private:
double _tol;
};
class Tolerance_FloatRel_IntAbs : public Wrappable<Tolerance_FloatRel_IntAbs>
{
public:
Tolerance_FloatRel_IntAbs(double tol, double tol8u) : _tol(tol), _tol8u(tol8u) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
int depth = CV_MAT_DEPTH(in1.type());
{
double err = depth >= CV_32F ? cv::norm(in1, in2, NORM_L1 | NORM_RELATIVE)
: cv::norm(in1, in2, NORM_INF);
double tolerance = depth >= CV_32F ? _tol : _tol8u;
if (err > tolerance)
{
std::cout << "Tolerance_FloatRel_IntAbs error: err=" << err
<< " tolerance=" << tolerance
<< " depth=" << cv::typeToString(depth) << std::endl;
return false;
}
else
{
return true;
}
}
}
friend std::ostream& operator<<(std::ostream& os, const Tolerance_FloatRel_IntAbs& obj)
{
return os << "Tolerance_FloatRel_IntAbs(" << obj._tol << ", " << obj._tol8u << ")";
}
private:
double _tol;
double _tol8u;
};
class AbsSimilarPoints : public Wrappable<AbsSimilarPoints>
{
public:
AbsSimilarPoints(double tol, double percent) : _tol(tol), _percent(percent) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
Mat diff;
cv::absdiff(in1, in2, diff);
Mat err_mask = diff > _tol;
int err_points = cv::countNonZero(err_mask.reshape(1));
double max_err_points = _percent * std::max((size_t)1000, in1.total());
if (err_points > max_err_points)
{
std::cout << "AbsSimilarPoints error: err_points=" << err_points
<< " max_err_points=" << max_err_points << " (total=" << in1.total() << ")"
<< " diff_tolerance=" << _tol << std::endl;
return false;
}
else
{
return true;
}
}
friend std::ostream& operator<<(std::ostream& os, const AbsSimilarPoints& obj)
{
return os << "AbsSimilarPoints(" << obj._tol << ", " << obj._percent << ")";
}
private:
double _tol;
double _percent;
};
class ToleranceFilter : public Wrappable<ToleranceFilter>
{
public:
ToleranceFilter(double tol, double tol8u, double inf_tol = 2.0) : _tol(tol), _tol8u(tol8u), _inf_tol(inf_tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
int depth = CV_MAT_DEPTH(in1.type());
{
double err_Inf = cv::norm(in1, in2, NORM_INF);
if (err_Inf > _inf_tol)
{
std::cout << "ToleranceFilter error: err_Inf=" << err_Inf << " tolerance=" << _inf_tol << std::endl;
return false;
}
double err = cv::norm(in1, in2, NORM_L2 | NORM_RELATIVE);
double tolerance = depth >= CV_32F ? _tol : _tol8u;
if (err > tolerance)
{
std::cout << "ToleranceFilter error: err=" << err << " tolerance=" << tolerance
<< " depth=" << cv::depthToString(depth)
<< std::endl;
return false;
}
}
return true;
}
friend std::ostream& operator<<(std::ostream& os, const ToleranceFilter& obj)
{
return os << "ToleranceFilter(" << obj._tol << ", " << obj._tol8u << ", "
<< obj._inf_tol << ")";
}
private:
double _tol;
double _tol8u;
double _inf_tol;
};
class ToleranceColor : public Wrappable<ToleranceColor>
{
public:
ToleranceColor(double tol, double inf_tol = 2.0) : _tol(tol), _inf_tol(inf_tol) {}
bool operator() (const cv::Mat& in1, const cv::Mat& in2) const
{
{
double err_Inf = cv::norm(in1, in2, NORM_INF);
if (err_Inf > _inf_tol)
{
std::cout << "ToleranceColor error: err_Inf=" << err_Inf << " tolerance=" << _inf_tol << std::endl;;
return false;
}
double err = cv::norm(in1, in2, NORM_L1 | NORM_RELATIVE);
if (err > _tol)
{
std::cout << "ToleranceColor error: err=" << err << " tolerance=" << _tol << std::endl;;
return false;
}
}
return true;
}
friend std::ostream& operator<<(std::ostream& os, const ToleranceColor& obj)
{
return os << "ToleranceColor(" << obj._tol << ", " << obj._inf_tol << ")";
}
private:
double _tol;
double _inf_tol;
};
class AbsToleranceScalar : public WrappableScalar<AbsToleranceScalar>
{
public:
AbsToleranceScalar(double tol) : _tol(tol) {}
bool operator() (const cv::Scalar& in1, const cv::Scalar& in2) const
{
double abs_err = std::abs(in1[0] - in2[0]) / std::max(1.0, std::abs(in2[0]));
if (abs_err > _tol)
{
std::cout << "AbsToleranceScalar error: abs_err=" << abs_err << " tolerance=" << _tol << " in1[0]" << in1[0] << " in2[0]" << in2[0] << std::endl;;
return false;
}
else
{
return true;
}
}
friend std::ostream& operator<<(std::ostream& os, const AbsToleranceScalar& obj)
{
return os << "AbsToleranceScalar(" << std::to_string(obj._tol) << ")";
}
private:
double _tol;
};
} // namespace opencv_test
namespace
{
inline std::ostream& operator<<(std::ostream& os, const opencv_test::compare_f&)
{
return os << "compare_f";
}
inline std::ostream& operator<<(std::ostream& os, const opencv_test::compare_scalar_f&)
{
return os << "compare_scalar_f";
}
} // anonymous namespace
// Note: namespace must match the namespace of the type of the printed object
namespace cv
{
inline std::ostream& operator<<(std::ostream& os, CmpTypes op)
{
#define CASE(v) case CmpTypes::v: os << #v; break
switch (op)
{
CASE(CMP_EQ);
CASE(CMP_GT);
CASE(CMP_GE);
CASE(CMP_LT);
CASE(CMP_LE);
CASE(CMP_NE);
default: GAPI_Assert(false && "unknown CmpTypes value");
}
#undef CASE
return os;
}
inline std::ostream& operator<<(std::ostream& os, NormTypes op)
{
#define CASE(v) case NormTypes::v: os << #v; break
switch (op)
{
CASE(NORM_INF);
CASE(NORM_L1);
CASE(NORM_L2);
CASE(NORM_L2SQR);
CASE(NORM_HAMMING);
CASE(NORM_HAMMING2);
CASE(NORM_RELATIVE);
CASE(NORM_MINMAX);
default: GAPI_Assert(false && "unknown NormTypes value");
}
#undef CASE
return os;
}
} // namespace cv
#endif //OPENCV_GAPI_TESTS_COMMON_HPP