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627 lines
19 KiB
627 lines
19 KiB
// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html. |
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// |
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// Copyright (C) 2018-2019 Intel Corporation |
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#ifndef OPENCV_GAPI_TESTS_COMMON_HPP |
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#define OPENCV_GAPI_TESTS_COMMON_HPP |
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#include <iostream> |
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#include <tuple> |
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#include <type_traits> |
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#include <opencv2/ts.hpp> |
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#include <opencv2/gapi.hpp> |
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#include <opencv2/gapi/util/util.hpp> |
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#include "gapi_tests_helpers.hpp" |
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#include <opencv2/gapi/render/render.hpp> |
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namespace |
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{ |
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inline std::ostream& operator<<(std::ostream& o, const cv::GCompileArg& arg) |
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{ |
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return o << (arg.tag.empty() ? "empty" : arg.tag); |
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} |
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inline std::ostream& operator<<(std::ostream& o, const cv::gapi::wip::draw::Prim& p) |
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{ |
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using namespace cv::gapi::wip::draw; |
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switch (p.index()) |
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{ |
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case Prim::index_of<Rect>(): |
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o << "cv::gapi::draw::Rect"; |
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break; |
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case Prim::index_of<Text>(): |
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o << "cv::gapi::draw::Text"; |
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break; |
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case Prim::index_of<Circle>(): |
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o << "cv::gapi::draw::Circle"; |
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break; |
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case Prim::index_of<Line>(): |
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o << "cv::gapi::draw::Line"; |
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break; |
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case Prim::index_of<Mosaic>(): |
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o << "cv::gapi::draw::Mosaic"; |
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break; |
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case Prim::index_of<Image>(): |
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o << "cv::gapi::draw::Image"; |
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break; |
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case Prim::index_of<Poly>(): |
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o << "cv::gapi::draw::Poly"; |
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break; |
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default: o << "Unrecognized primitive"; |
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} |
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return o; |
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} |
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} |
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namespace opencv_test |
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{ |
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class TestFunctional |
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{ |
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public: |
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cv::Mat in_mat1; |
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cv::Mat in_mat2; |
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cv::Mat out_mat_gapi; |
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cv::Mat out_mat_ocv; |
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cv::Scalar sc; |
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cv::Scalar initScalarRandU(unsigned upper) |
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{ |
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auto& rng = cv::theRNG(); |
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double s1 = rng(upper); // FIXIT: RNG result is 'int', not double |
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double s2 = rng(upper); |
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double s3 = rng(upper); |
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double s4 = rng(upper); |
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return cv::Scalar(s1, s2, s3, s4); |
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} |
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void initOutMats(cv::Size sz_in, int dtype) |
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{ |
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if (dtype != -1) |
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{ |
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out_mat_gapi = cv::Mat(sz_in, dtype); |
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out_mat_ocv = cv::Mat(sz_in, dtype); |
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} |
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} |
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void initMatsRandU(int type, cv::Size sz_in, int dtype, bool createOutputMatrices = true) |
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{ |
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in_mat1 = cv::Mat(sz_in, type); |
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in_mat2 = cv::Mat(sz_in, type); |
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sc = initScalarRandU(100); |
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// Details: https://github.com/opencv/opencv/pull/16083 |
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//if (CV_MAT_DEPTH(type) < CV_32F) |
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if (1) |
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{ |
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cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255)); |
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cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255)); |
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} |
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else |
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{ |
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const int fscale = 256; // avoid bits near ULP, generate stable test input |
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Mat in_mat32s(in_mat1.size(), CV_MAKE_TYPE(CV_32S, CV_MAT_CN(type))); |
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cv::randu(in_mat32s, cv::Scalar::all(0), cv::Scalar::all(255 * fscale)); |
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in_mat32s.convertTo(in_mat1, type, 1.0f / fscale, 0); |
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cv::randu(in_mat32s, cv::Scalar::all(0), cv::Scalar::all(255 * fscale)); |
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in_mat32s.convertTo(in_mat2, type, 1.0f / fscale, 0); |
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} |
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if (createOutputMatrices) |
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{ |
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initOutMats(sz_in, dtype); |
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} |
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} |
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void initMatrixRandU(int type, cv::Size sz_in, int dtype, bool createOutputMatrices = true) |
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{ |
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in_mat1 = cv::Mat(sz_in, type); |
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sc = initScalarRandU(100); |
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if (CV_MAT_DEPTH(type) < CV_32F) |
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{ |
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cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255)); |
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} |
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else |
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{ |
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const int fscale = 256; // avoid bits near ULP, generate stable test input |
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Mat in_mat32s(in_mat1.size(), CV_MAKE_TYPE(CV_32S, CV_MAT_CN(type))); |
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cv::randu(in_mat32s, cv::Scalar::all(0), cv::Scalar::all(255 * fscale)); |
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in_mat32s.convertTo(in_mat1, type, 1.0f / fscale, 0); |
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} |
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if (createOutputMatrices) |
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{ |
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initOutMats(sz_in, dtype); |
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} |
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} |
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void initMatrixRandN(int type, cv::Size sz_in, int dtype, bool createOutputMatrices = true) |
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{ |
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in_mat1 = cv::Mat(sz_in, type); |
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cv::randn(in_mat1, cv::Scalar::all(127), cv::Scalar::all(40.f)); |
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if (createOutputMatrices) |
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{ |
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initOutMats(sz_in, dtype); |
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} |
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} |
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// empty function intended to show that nothing is to be initialized via TestFunctional methods |
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void initNothing(int, cv::Size, int, bool = true) {} |
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static cv::Mat nonZeroPixels(const cv::Mat& mat) |
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{ |
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int channels = mat.channels(); |
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std::vector<cv::Mat> split(channels); |
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cv::split(mat, split); |
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cv::Mat result; |
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for (int c=0; c < channels; c++) |
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{ |
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if (c == 0) |
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result = split[c] != 0; |
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else |
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result = result | (split[c] != 0); |
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} |
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return result; |
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} |
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static int countNonZeroPixels(const cv::Mat& mat) |
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{ |
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return cv::countNonZero( nonZeroPixels(mat) ); |
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} |
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}; |
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template<class T> |
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class TestParams: public TestFunctional, public TestWithParam<T>{}; |
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template<class T> |
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class TestPerfParams: public TestFunctional, public perf::TestBaseWithParam<T>{}; |
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using compare_f = std::function<bool(const cv::Mat &a, const cv::Mat &b)>; |
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using compare_scalar_f = std::function<bool(const cv::Scalar &a, const cv::Scalar &b)>; |
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// FIXME: re-use MatType. current problem: "special values" interpreted incorrectly (-1 is printed |
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// as 16FC512) |
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struct MatType2 |
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{ |
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public: |
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MatType2(int val = 0) : _value(val) {} |
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operator int() const { return _value; } |
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friend std::ostream& operator<<(std::ostream& os, const MatType2& t) |
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{ |
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switch (t) |
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{ |
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case -1: return os << "SAME_TYPE"; |
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default: PrintTo(MatType(t), &os); return os; |
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} |
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} |
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private: |
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int _value; |
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}; |
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// Universal parameter wrapper for common (pre-defined) and specific (user-defined) parameters |
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template<typename ...SpecificParams> |
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struct Params |
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{ |
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using gcomp_args_function_t = cv::GCompileArgs(*)(); |
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using common_params_t = std::tuple<MatType2, cv::Size, MatType2, gcomp_args_function_t>; |
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using specific_params_t = std::tuple<SpecificParams...>; |
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using params_t = std::tuple<MatType2, cv::Size, MatType2, gcomp_args_function_t, SpecificParams...>; |
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static constexpr const size_t common_params_size = std::tuple_size<common_params_t>::value; |
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static constexpr const size_t specific_params_size = std::tuple_size<specific_params_t>::value; |
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template<size_t I> |
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static const typename std::tuple_element<I, common_params_t>::type& |
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getCommon(const params_t& t) |
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{ |
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static_assert(I < common_params_size, "Index out of range"); |
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return std::get<I>(t); |
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} |
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template<size_t I> |
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static const typename std::tuple_element<I, specific_params_t>::type& |
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getSpecific(const params_t& t) |
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{ |
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static_assert(specific_params_size > 0, |
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"Impossible to call this function: no specific parameters specified"); |
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static_assert(I < specific_params_size, "Index out of range"); |
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return std::get<common_params_size + I>(t); |
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} |
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}; |
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// Base class for test fixtures |
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template<typename ...SpecificParams> |
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struct TestWithParamBase : TestFunctional, |
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TestWithParam<typename Params<SpecificParams...>::params_t> |
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{ |
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using AllParams = Params<SpecificParams...>; |
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MatType2 type = getCommonParam<0>(); |
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cv::Size sz = getCommonParam<1>(); |
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MatType2 dtype = getCommonParam<2>(); |
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// Get common (pre-defined) parameter value by index |
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template<size_t I> |
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inline auto getCommonParam() const |
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-> decltype(AllParams::template getCommon<I>(this->GetParam())) |
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{ |
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return AllParams::template getCommon<I>(this->GetParam()); |
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} |
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// Get specific (user-defined) parameter value by index |
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template<size_t I> |
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inline auto getSpecificParam() const |
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-> decltype(AllParams::template getSpecific<I>(this->GetParam())) |
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{ |
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return AllParams::template getSpecific<I>(this->GetParam()); |
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} |
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// Return G-API compile arguments specified for test fixture |
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inline cv::GCompileArgs getCompileArgs() const |
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{ |
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return getCommonParam<3>()(); |
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} |
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}; |
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/** |
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* @private |
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* @brief Create G-API test fixture with TestWithParamBase base class |
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* @param Fixture test fixture name |
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* @param InitF callable that will initialize default available members (from TestFunctional) |
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* @param API base class API. Specifies types of user-defined parameters. If there are no such |
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* parameters, empty angle brackets ("<>") must be specified. |
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* @param Number number of user-defined parameters (corresponds to the number of types in API). |
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* if there are no such parameters, 0 must be specified. |
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* @param ... list of names of user-defined parameters. if there are no parameters, the list |
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* must be empty. |
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*/ |
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#define GAPI_TEST_FIXTURE(Fixture, InitF, API, Number, ...) \ |
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struct Fixture : public TestWithParamBase API { \ |
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static_assert(Number == AllParams::specific_params_size, \ |
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"Number of user-defined parameters doesn't match size of __VA_ARGS__"); \ |
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__WRAP_VAARGS(DEFINE_SPECIFIC_PARAMS_##Number(__VA_ARGS__)) \ |
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Fixture() { InitF(type, sz, dtype); } \ |
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}; |
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// Wrapper for test fixture API. Use to specify multiple types. |
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// Example: FIXTURE_API(int, bool) expands to <int, bool> |
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#define FIXTURE_API(...) <__VA_ARGS__> |
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template<typename T1, typename T2> |
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struct CompareF |
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{ |
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using callable_t = std::function<bool(const T1& a, const T2& b)>; |
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CompareF(callable_t&& cmp, std::string&& cmp_name) : |
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_comparator(std::move(cmp)), _name(std::move(cmp_name)) {} |
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bool operator()(const T1& a, const T2& b) const |
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{ |
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return _comparator(a, b); |
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} |
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friend std::ostream& operator<<(std::ostream& os, const CompareF<T1, T2>& obj) |
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{ |
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return os << obj._name; |
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} |
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private: |
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callable_t _comparator; |
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std::string _name; |
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}; |
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using CompareMats = CompareF<cv::Mat, cv::Mat>; |
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using CompareScalars = CompareF<cv::Scalar, cv::Scalar>; |
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template<typename T> |
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struct Wrappable |
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{ |
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compare_f to_compare_f() |
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{ |
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T t = *static_cast<T*const>(this); |
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return [t](const cv::Mat &a, const cv::Mat &b) |
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{ |
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return t(a, b); |
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}; |
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} |
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CompareMats to_compare_obj() |
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{ |
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T t = *static_cast<T*const>(this); |
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std::stringstream ss; |
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ss << t; |
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return CompareMats(to_compare_f(), ss.str()); |
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} |
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}; |
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template<typename T> |
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struct WrappableScalar |
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{ |
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compare_scalar_f to_compare_f() |
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{ |
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T t = *static_cast<T*const>(this); |
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return [t](const cv::Scalar &a, const cv::Scalar &b) |
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{ |
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return t(a, b); |
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}; |
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} |
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CompareScalars to_compare_obj() |
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{ |
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T t = *static_cast<T*const>(this); |
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std::stringstream ss; |
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ss << t; |
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return CompareScalars(to_compare_f(), ss.str()); |
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} |
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}; |
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class AbsExact : public Wrappable<AbsExact> |
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{ |
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public: |
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AbsExact() {} |
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bool operator() (const cv::Mat& in1, const cv::Mat& in2) const |
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{ |
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if (cv::norm(in1, in2, NORM_INF) != 0) |
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{ |
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std::cout << "AbsExact error: G-API output and reference output matrixes are not bitexact equal." << std::endl; |
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return false; |
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} |
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else |
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{ |
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return true; |
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} |
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} |
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friend std::ostream& operator<<(std::ostream& os, const AbsExact&) |
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{ |
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return os << "AbsExact()"; |
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} |
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}; |
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class AbsTolerance : public Wrappable<AbsTolerance> |
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{ |
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public: |
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AbsTolerance(double tol) : _tol(tol) {} |
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bool operator() (const cv::Mat& in1, const cv::Mat& in2) const |
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{ |
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if (cv::norm(in1, in2, NORM_INF) > _tol) |
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{ |
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std::cout << "AbsTolerance error: Number of different pixels in " << std::endl; |
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std::cout << "G-API output and reference output matrixes exceeds " << _tol << " pixels threshold." << std::endl; |
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return false; |
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} |
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else |
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{ |
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return true; |
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} |
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} |
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friend std::ostream& operator<<(std::ostream& os, const AbsTolerance& obj) |
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{ |
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return os << "AbsTolerance(" << std::to_string(obj._tol) << ")"; |
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} |
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private: |
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double _tol; |
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}; |
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class Tolerance_FloatRel_IntAbs : public Wrappable<Tolerance_FloatRel_IntAbs> |
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{ |
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public: |
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Tolerance_FloatRel_IntAbs(double tol, double tol8u) : _tol(tol), _tol8u(tol8u) {} |
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bool operator() (const cv::Mat& in1, const cv::Mat& in2) const |
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{ |
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int depth = CV_MAT_DEPTH(in1.type()); |
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{ |
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double err = depth >= CV_32F ? cv::norm(in1, in2, NORM_L1 | NORM_RELATIVE) |
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: cv::norm(in1, in2, NORM_INF); |
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double tolerance = depth >= CV_32F ? _tol : _tol8u; |
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if (err > tolerance) |
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{ |
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std::cout << "Tolerance_FloatRel_IntAbs error: err=" << err |
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<< " tolerance=" << tolerance |
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<< " depth=" << cv::typeToString(depth) << std::endl; |
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return false; |
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} |
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else |
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{ |
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return true; |
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} |
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} |
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} |
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friend std::ostream& operator<<(std::ostream& os, const Tolerance_FloatRel_IntAbs& obj) |
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{ |
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return os << "Tolerance_FloatRel_IntAbs(" << obj._tol << ", " << obj._tol8u << ")"; |
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} |
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private: |
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double _tol; |
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double _tol8u; |
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}; |
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class AbsSimilarPoints : public Wrappable<AbsSimilarPoints> |
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{ |
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public: |
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AbsSimilarPoints(double tol, double percent) : _tol(tol), _percent(percent) {} |
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bool operator() (const cv::Mat& in1, const cv::Mat& in2) const |
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{ |
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Mat diff; |
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cv::absdiff(in1, in2, diff); |
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Mat err_mask = diff > _tol; |
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int err_points = cv::countNonZero(err_mask.reshape(1)); |
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double max_err_points = _percent * std::max((size_t)1000, in1.total()); |
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if (err_points > max_err_points) |
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{ |
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std::cout << "AbsSimilarPoints error: err_points=" << err_points |
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<< " max_err_points=" << max_err_points << " (total=" << in1.total() << ")" |
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<< " diff_tolerance=" << _tol << std::endl; |
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return false; |
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} |
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else |
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{ |
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return true; |
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} |
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} |
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friend std::ostream& operator<<(std::ostream& os, const AbsSimilarPoints& obj) |
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{ |
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return os << "AbsSimilarPoints(" << obj._tol << ", " << obj._percent << ")"; |
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} |
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private: |
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double _tol; |
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double _percent; |
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}; |
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class ToleranceFilter : public Wrappable<ToleranceFilter> |
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{ |
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public: |
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ToleranceFilter(double tol, double tol8u, double inf_tol = 2.0) : _tol(tol), _tol8u(tol8u), _inf_tol(inf_tol) {} |
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bool operator() (const cv::Mat& in1, const cv::Mat& in2) const |
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{ |
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int depth = CV_MAT_DEPTH(in1.type()); |
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{ |
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double err_Inf = cv::norm(in1, in2, NORM_INF); |
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if (err_Inf > _inf_tol) |
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{ |
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std::cout << "ToleranceFilter error: err_Inf=" << err_Inf << " tolerance=" << _inf_tol << std::endl; |
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return false; |
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} |
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double err = cv::norm(in1, in2, NORM_L2 | NORM_RELATIVE); |
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double tolerance = depth >= CV_32F ? _tol : _tol8u; |
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if (err > tolerance) |
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{ |
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std::cout << "ToleranceFilter error: err=" << err << " tolerance=" << tolerance |
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<< " depth=" << cv::depthToString(depth) |
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<< std::endl; |
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return false; |
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} |
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} |
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return true; |
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} |
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friend std::ostream& operator<<(std::ostream& os, const ToleranceFilter& obj) |
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{ |
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return os << "ToleranceFilter(" << obj._tol << ", " << obj._tol8u << ", " |
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<< obj._inf_tol << ")"; |
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} |
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private: |
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double _tol; |
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double _tol8u; |
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double _inf_tol; |
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}; |
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class ToleranceColor : public Wrappable<ToleranceColor> |
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{ |
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public: |
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ToleranceColor(double tol, double inf_tol = 2.0) : _tol(tol), _inf_tol(inf_tol) {} |
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bool operator() (const cv::Mat& in1, const cv::Mat& in2) const |
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{ |
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{ |
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double err_Inf = cv::norm(in1, in2, NORM_INF); |
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if (err_Inf > _inf_tol) |
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{ |
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std::cout << "ToleranceColor error: err_Inf=" << err_Inf << " tolerance=" << _inf_tol << std::endl;; |
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return false; |
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} |
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double err = cv::norm(in1, in2, NORM_L1 | NORM_RELATIVE); |
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if (err > _tol) |
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{ |
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std::cout << "ToleranceColor error: err=" << err << " tolerance=" << _tol << std::endl;; |
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return false; |
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} |
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} |
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return true; |
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} |
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friend std::ostream& operator<<(std::ostream& os, const ToleranceColor& obj) |
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{ |
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return os << "ToleranceColor(" << obj._tol << ", " << obj._inf_tol << ")"; |
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} |
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private: |
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double _tol; |
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double _inf_tol; |
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}; |
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class AbsToleranceScalar : public WrappableScalar<AbsToleranceScalar> |
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{ |
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public: |
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AbsToleranceScalar(double tol) : _tol(tol) {} |
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bool operator() (const cv::Scalar& in1, const cv::Scalar& in2) const |
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{ |
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double abs_err = std::abs(in1[0] - in2[0]) / std::max(1.0, std::abs(in2[0])); |
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if (abs_err > _tol) |
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{ |
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std::cout << "AbsToleranceScalar error: abs_err=" << abs_err << " tolerance=" << _tol << " in1[0]" << in1[0] << " in2[0]" << in2[0] << std::endl;; |
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return false; |
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} |
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else |
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{ |
|
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
|
|
|