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Open Source Computer Vision Library
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104 lines
4.3 KiB
104 lines
4.3 KiB
14 years ago
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __OPENCV_TEST_GPU_BASE_HPP__
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#define __OPENCV_TEST_GPU_BASE_HPP__
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//! return true if device supports specified feature and gpu module was built with support the feature.
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bool supportFeature(const cv::gpu::DeviceInfo& info, cv::gpu::FeatureSet feature);
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//! return all devices compatible with current gpu module build.
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const std::vector<cv::gpu::DeviceInfo>& devices();
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//! return all devices compatible with current gpu module build which support specified feature.
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std::vector<cv::gpu::DeviceInfo> devices(cv::gpu::FeatureSet feature);
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//! return vector with types from specified range.
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std::vector<int> types(int depth_start, int depth_end, int cn_start, int cn_end);
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//! return vector with all types (depth: CV_8U-CV_64F, channels: 1-4).
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const std::vector<int>& all_types();
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//! read image from testdata folder.
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cv::Mat readImage(const std::string& fileName, int flags = CV_LOAD_IMAGE_COLOR);
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double checkNorm(const cv::Mat& m1, const cv::Mat& m2);
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double checkSimilarity(const cv::Mat& m1, const cv::Mat& m2);
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#define OSTR_NAME(suf) ostr_ ## suf
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#define PRINT_PARAM(name) \
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std::ostringstream OSTR_NAME(name); \
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OSTR_NAME(name) << # name << ": " << name; \
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SCOPED_TRACE(OSTR_NAME(name).str());
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#define PRINT_TYPE(type) \
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std::ostringstream OSTR_NAME(type); \
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OSTR_NAME(type) << # type << ": " << cvtest::getTypeName(type) << "c" << CV_MAT_CN(type); \
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SCOPED_TRACE(OSTR_NAME(type).str());
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#define EXPECT_MAT_NEAR(mat1, mat2, eps) \
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{ \
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ASSERT_EQ(mat1.type(), mat2.type()); \
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ASSERT_EQ(mat1.size(), mat2.size()); \
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EXPECT_LE(checkNorm(mat1, mat2), eps); \
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}
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#define EXPECT_MAT_SIMILAR(mat1, mat2, eps) \
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{ \
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ASSERT_EQ(mat1.type(), mat2.type()); \
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ASSERT_EQ(mat1.size(), mat2.size()); \
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EXPECT_LE(checkSimilarity(mat1, mat2), eps); \
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}
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//! for gtest ASSERT
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namespace cv
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{
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std::ostream& operator << (std::ostream& os, const Size& sz);
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std::ostream& operator << (std::ostream& os, const Scalar& s);
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namespace gpu
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{
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std::ostream& operator << (std::ostream& os, const DeviceInfo& info);
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}
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}
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#endif // __OPENCV_TEST_GPU_BASE_HPP__
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