Fixed float.h issue. OpenCV with built libraries working for linux x64

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__