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Diffstat (limited to 'thirdparty/raspberrypi/includes/opencv2/ts/gpu_test.hpp')
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1 files changed, 0 insertions, 360 deletions
diff --git a/thirdparty/raspberrypi/includes/opencv2/ts/gpu_test.hpp b/thirdparty/raspberrypi/includes/opencv2/ts/gpu_test.hpp deleted file mode 100644 index 01737bc..0000000 --- a/thirdparty/raspberrypi/includes/opencv2/ts/gpu_test.hpp +++ /dev/null @@ -1,360 +0,0 @@ -/*M/////////////////////////////////////////////////////////////////////////////////////// -// -// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. -// -// By downloading, copying, installing or using the software you agree to this license. -// If you do not agree to this license, do not download, install, -// copy or use the software. -// -// -// License Agreement -// For Open Source Computer Vision Library -// -// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. -// Copyright (C) 2009, Willow Garage Inc., all rights reserved. -// Third party copyrights are property of their respective owners. -// -// Redistribution and use in source and binary forms, with or without modification, -// are permitted provided that the following conditions are met: -// -// * Redistribution's of source code must retain the above copyright notice, -// this list of conditions and the following disclaimer. -// -// * Redistribution's in binary form must reproduce the above copyright notice, -// this list of conditions and the following disclaimer in the documentation -// and/or other materials provided with the distribution. -// -// * The name of the copyright holders may not be used to endorse or promote products -// derived from this software without specific prior written permission. -// -// This software is provided by the copyright holders and contributors "as is" and -// any express or implied warranties, including, but not limited to, the implied -// warranties of merchantability and fitness for a particular purpose are disclaimed. -// In no event shall the Intel Corporation or contributors be liable for any direct, -// indirect, incidental, special, exemplary, or consequential damages -// (including, but not limited to, procurement of substitute goods or services; -// loss of use, data, or profits; or business interruption) however caused -// and on any theory of liability, whether in contract, strict liability, -// or tort (including negligence or otherwise) arising in any way out of -// the use of this software, even if advised of the possibility of such damage. -// -//M*/ - -#ifndef __OPENCV_GPU_TEST_UTILITY_HPP__ -#define __OPENCV_GPU_TEST_UTILITY_HPP__ - -#include "opencv2/core/core.hpp" -#include "opencv2/core/gpumat.hpp" -#include "opencv2/highgui/highgui.hpp" -#include "opencv2/imgproc/imgproc.hpp" -#include "opencv2/ts/ts.hpp" -#include "opencv2/ts/ts_perf.hpp" - -namespace cvtest -{ - ////////////////////////////////////////////////////////////////////// - // random generators - - CV_EXPORTS int randomInt(int minVal, int maxVal); - CV_EXPORTS double randomDouble(double minVal, double maxVal); - CV_EXPORTS cv::Size randomSize(int minVal, int maxVal); - CV_EXPORTS cv::Scalar randomScalar(double minVal, double maxVal); - CV_EXPORTS cv::Mat randomMat(cv::Size size, int type, double minVal = 0.0, double maxVal = 255.0); - - ////////////////////////////////////////////////////////////////////// - // GpuMat create - - CV_EXPORTS cv::gpu::GpuMat createMat(cv::Size size, int type, bool useRoi = false); - CV_EXPORTS cv::gpu::GpuMat loadMat(const cv::Mat& m, bool useRoi = false); - - ////////////////////////////////////////////////////////////////////// - // Image load - - //! read image from testdata folder - CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR); - - //! read image from testdata folder and convert it to specified type - CV_EXPORTS cv::Mat readImageType(const std::string& fname, int type); - - ////////////////////////////////////////////////////////////////////// - // Gpu devices - - //! return true if device supports specified feature and gpu module was built with support the feature. - CV_EXPORTS bool supportFeature(const cv::gpu::DeviceInfo& info, cv::gpu::FeatureSet feature); - - class CV_EXPORTS DeviceManager - { - public: - static DeviceManager& instance(); - - void load(int i); - void loadAll(); - - const std::vector<cv::gpu::DeviceInfo>& values() const { return devices_; } - - private: - std::vector<cv::gpu::DeviceInfo> devices_; - }; - - #define ALL_DEVICES testing::ValuesIn(cvtest::DeviceManager::instance().values()) - - ////////////////////////////////////////////////////////////////////// - // Additional assertion - - CV_EXPORTS void minMaxLocGold(const cv::Mat& src, double* minVal_, double* maxVal_ = 0, cv::Point* minLoc_ = 0, cv::Point* maxLoc_ = 0, const cv::Mat& mask = cv::Mat()); - - CV_EXPORTS cv::Mat getMat(cv::InputArray arr); - - CV_EXPORTS testing::AssertionResult assertMatNear(const char* expr1, const char* expr2, const char* eps_expr, cv::InputArray m1, cv::InputArray m2, double eps); - - #define EXPECT_MAT_NEAR(m1, m2, eps) EXPECT_PRED_FORMAT3(cvtest::assertMatNear, m1, m2, eps) - #define ASSERT_MAT_NEAR(m1, m2, eps) ASSERT_PRED_FORMAT3(cvtest::assertMatNear, m1, m2, eps) - - #define EXPECT_SCALAR_NEAR(s1, s2, eps) \ - { \ - EXPECT_NEAR(s1[0], s2[0], eps); \ - EXPECT_NEAR(s1[1], s2[1], eps); \ - EXPECT_NEAR(s1[2], s2[2], eps); \ - EXPECT_NEAR(s1[3], s2[3], eps); \ - } - #define ASSERT_SCALAR_NEAR(s1, s2, eps) \ - { \ - ASSERT_NEAR(s1[0], s2[0], eps); \ - ASSERT_NEAR(s1[1], s2[1], eps); \ - ASSERT_NEAR(s1[2], s2[2], eps); \ - ASSERT_NEAR(s1[3], s2[3], eps); \ - } - - #define EXPECT_POINT2_NEAR(p1, p2, eps) \ - { \ - EXPECT_NEAR(p1.x, p2.x, eps); \ - EXPECT_NEAR(p1.y, p2.y, eps); \ - } - #define ASSERT_POINT2_NEAR(p1, p2, eps) \ - { \ - ASSERT_NEAR(p1.x, p2.x, eps); \ - ASSERT_NEAR(p1.y, p2.y, eps); \ - } - - #define EXPECT_POINT3_NEAR(p1, p2, eps) \ - { \ - EXPECT_NEAR(p1.x, p2.x, eps); \ - EXPECT_NEAR(p1.y, p2.y, eps); \ - EXPECT_NEAR(p1.z, p2.z, eps); \ - } - #define ASSERT_POINT3_NEAR(p1, p2, eps) \ - { \ - ASSERT_NEAR(p1.x, p2.x, eps); \ - ASSERT_NEAR(p1.y, p2.y, eps); \ - ASSERT_NEAR(p1.z, p2.z, eps); \ - } - - CV_EXPORTS double checkSimilarity(cv::InputArray m1, cv::InputArray m2); - - #define EXPECT_MAT_SIMILAR(mat1, mat2, eps) \ - { \ - ASSERT_EQ(mat1.type(), mat2.type()); \ - ASSERT_EQ(mat1.size(), mat2.size()); \ - EXPECT_LE(checkSimilarity(mat1, mat2), eps); \ - } - #define ASSERT_MAT_SIMILAR(mat1, mat2, eps) \ - { \ - ASSERT_EQ(mat1.type(), mat2.type()); \ - ASSERT_EQ(mat1.size(), mat2.size()); \ - ASSERT_LE(checkSimilarity(mat1, mat2), eps); \ - } - - ////////////////////////////////////////////////////////////////////// - // Helper structs for value-parameterized tests - - #define GPU_TEST_P(test_case_name, test_name) \ - class GTEST_TEST_CLASS_NAME_(test_case_name, test_name) \ - : public test_case_name { \ - public: \ - GTEST_TEST_CLASS_NAME_(test_case_name, test_name)() {} \ - virtual void TestBody(); \ - private: \ - void UnsafeTestBody(); \ - static int AddToRegistry() { \ - ::testing::UnitTest::GetInstance()->parameterized_test_registry(). \ - GetTestCasePatternHolder<test_case_name>(\ - #test_case_name, __FILE__, __LINE__)->AddTestPattern(\ - #test_case_name, \ - #test_name, \ - new ::testing::internal::TestMetaFactory< \ - GTEST_TEST_CLASS_NAME_(test_case_name, test_name)>()); \ - return 0; \ - } \ - static int gtest_registering_dummy_; \ - GTEST_DISALLOW_COPY_AND_ASSIGN_(\ - GTEST_TEST_CLASS_NAME_(test_case_name, test_name)); \ - }; \ - int GTEST_TEST_CLASS_NAME_(test_case_name, \ - test_name)::gtest_registering_dummy_ = \ - GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::AddToRegistry(); \ - void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::TestBody() \ - { \ - try \ - { \ - UnsafeTestBody(); \ - } \ - catch (...) \ - { \ - cv::gpu::resetDevice(); \ - throw; \ - } \ - } \ - void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::UnsafeTestBody() - - #define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > > - #define GET_PARAM(k) std::tr1::get< k >(GetParam()) - - #define DIFFERENT_SIZES testing::Values(cv::Size(128, 128), cv::Size(113, 113)) - - // Depth - - using perf::MatDepth; - -#ifdef OPENCV_TINY_GPU_MODULE - #define ALL_DEPTH testing::Values(MatDepth(CV_8U), MatDepth(CV_32F)) - - #define DEPTH_PAIRS testing::Values(std::make_pair(MatDepth(CV_8U), MatDepth(CV_8U)), \ - std::make_pair(MatDepth(CV_32F), MatDepth(CV_32F))) -#else - #define ALL_DEPTH testing::Values(MatDepth(CV_8U), MatDepth(CV_8S), MatDepth(CV_16U), MatDepth(CV_16S), MatDepth(CV_32S), MatDepth(CV_32F), MatDepth(CV_64F)) - - #define DEPTH_PAIRS testing::Values(std::make_pair(MatDepth(CV_8U), MatDepth(CV_8U)), \ - std::make_pair(MatDepth(CV_8U), MatDepth(CV_16U)), \ - std::make_pair(MatDepth(CV_8U), MatDepth(CV_16S)), \ - std::make_pair(MatDepth(CV_8U), MatDepth(CV_32S)), \ - std::make_pair(MatDepth(CV_8U), MatDepth(CV_32F)), \ - std::make_pair(MatDepth(CV_8U), MatDepth(CV_64F)), \ - \ - std::make_pair(MatDepth(CV_16U), MatDepth(CV_16U)), \ - std::make_pair(MatDepth(CV_16U), MatDepth(CV_32S)), \ - std::make_pair(MatDepth(CV_16U), MatDepth(CV_32F)), \ - std::make_pair(MatDepth(CV_16U), MatDepth(CV_64F)), \ - \ - std::make_pair(MatDepth(CV_16S), MatDepth(CV_16S)), \ - std::make_pair(MatDepth(CV_16S), MatDepth(CV_32S)), \ - std::make_pair(MatDepth(CV_16S), MatDepth(CV_32F)), \ - std::make_pair(MatDepth(CV_16S), MatDepth(CV_64F)), \ - \ - std::make_pair(MatDepth(CV_32S), MatDepth(CV_32S)), \ - std::make_pair(MatDepth(CV_32S), MatDepth(CV_32F)), \ - std::make_pair(MatDepth(CV_32S), MatDepth(CV_64F)), \ - \ - std::make_pair(MatDepth(CV_32F), MatDepth(CV_32F)), \ - std::make_pair(MatDepth(CV_32F), MatDepth(CV_64F)), \ - \ - std::make_pair(MatDepth(CV_64F), MatDepth(CV_64F))) -#endif - - // Type - - using perf::MatType; - - //! return vector with types from specified range. - CV_EXPORTS std::vector<MatType> types(int depth_start, int depth_end, int cn_start, int cn_end); - - //! return vector with all types (depth: CV_8U-CV_64F, channels: 1-4). - CV_EXPORTS const std::vector<MatType>& all_types(); - - #define ALL_TYPES testing::ValuesIn(all_types()) - #define TYPES(depth_start, depth_end, cn_start, cn_end) testing::ValuesIn(types(depth_start, depth_end, cn_start, cn_end)) - - // ROI - - class UseRoi - { - public: - inline UseRoi(bool val = false) : val_(val) {} - - inline operator bool() const { return val_; } - - private: - bool val_; - }; - - CV_EXPORTS void PrintTo(const UseRoi& useRoi, std::ostream* os); - - #define WHOLE_SUBMAT testing::Values(UseRoi(false), UseRoi(true)) - - // Direct/Inverse - - class Inverse - { - public: - inline Inverse(bool val = false) : val_(val) {} - - inline operator bool() const { return val_; } - - private: - bool val_; - }; - - CV_EXPORTS void PrintTo(const Inverse& useRoi, std::ostream* os); - - #define DIRECT_INVERSE testing::Values(Inverse(false), Inverse(true)) - - // Param class - - #define IMPLEMENT_PARAM_CLASS(name, type) \ - class name \ - { \ - public: \ - name ( type arg = type ()) : val_(arg) {} \ - operator type () const {return val_;} \ - private: \ - type val_; \ - }; \ - inline void PrintTo( name param, std::ostream* os) \ - { \ - *os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \ - } - - IMPLEMENT_PARAM_CLASS(Channels, int) - - #define ALL_CHANNELS testing::Values(Channels(1), Channels(2), Channels(3), Channels(4)) - #define IMAGE_CHANNELS testing::Values(Channels(1), Channels(3), Channels(4)) - - // Flags and enums - - CV_ENUM(NormCode, NORM_INF, NORM_L1, NORM_L2, NORM_TYPE_MASK, NORM_RELATIVE, NORM_MINMAX) - - CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_AREA) - - CV_ENUM(BorderType, BORDER_REFLECT101, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_WRAP) -#ifdef OPENCV_TINY_GPU_MODULE - #define ALL_BORDER_TYPES testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_CONSTANT), BorderType(cv::BORDER_REFLECT)) -#else - #define ALL_BORDER_TYPES testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_CONSTANT), BorderType(cv::BORDER_REFLECT), BorderType(cv::BORDER_WRAP)) -#endif - - CV_FLAGS(WarpFlags, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, WARP_INVERSE_MAP) - - ////////////////////////////////////////////////////////////////////// - // Features2D - - CV_EXPORTS testing::AssertionResult assertKeyPointsEquals(const char* gold_expr, const char* actual_expr, std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual); - - #define ASSERT_KEYPOINTS_EQ(gold, actual) EXPECT_PRED_FORMAT2(assertKeyPointsEquals, gold, actual) - - CV_EXPORTS int getMatchedPointsCount(std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual); - CV_EXPORTS int getMatchedPointsCount(const std::vector<cv::KeyPoint>& keypoints1, const std::vector<cv::KeyPoint>& keypoints2, const std::vector<cv::DMatch>& matches); - - ////////////////////////////////////////////////////////////////////// - // Other - - CV_EXPORTS void dumpImage(const std::string& fileName, const cv::Mat& image); - CV_EXPORTS void showDiff(cv::InputArray gold, cv::InputArray actual, double eps); - - CV_EXPORTS void printCudaInfo(); -} - -namespace cv { namespace gpu -{ - CV_EXPORTS void PrintTo(const DeviceInfo& info, std::ostream* os); -}} - -#endif // __OPENCV_GPU_TEST_UTILITY_HPP__ |