155 lines
4.8 KiB
C++
155 lines
4.8 KiB
C++
/*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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#include "test_precomp.hpp"
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bool supportFeature(const cv::gpu::DeviceInfo& info, cv::gpu::FeatureSet feature)
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{
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return cv::gpu::TargetArchs::builtWith(feature) && info.supports(feature);
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}
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const std::vector<cv::gpu::DeviceInfo>& devices()
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{
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static std::vector<cv::gpu::DeviceInfo> devs;
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static bool first = true;
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if (first)
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{
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int deviceCount = cv::gpu::getCudaEnabledDeviceCount();
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devs.reserve(deviceCount);
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for (int i = 0; i < deviceCount; ++i)
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{
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cv::gpu::DeviceInfo info(i);
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if (info.isCompatible())
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devs.push_back(info);
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}
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first = false;
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}
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return devs;
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}
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std::vector<cv::gpu::DeviceInfo> devices(cv::gpu::FeatureSet feature)
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{
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const std::vector<cv::gpu::DeviceInfo>& d = devices();
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std::vector<cv::gpu::DeviceInfo> devs_filtered;
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if (cv::gpu::TargetArchs::builtWith(feature))
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{
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devs_filtered.reserve(d.size());
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for (size_t i = 0, size = d.size(); i < size; ++i)
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{
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const cv::gpu::DeviceInfo& info = d[i];
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if (info.supports(feature))
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devs_filtered.push_back(info);
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}
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}
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return devs_filtered;
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}
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std::vector<int> types(int depth_start, int depth_end, int cn_start, int cn_end)
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{
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std::vector<int> v;
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v.reserve((depth_end - depth_start + 1) * (cn_end - cn_start + 1));
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for (int depth = depth_start; depth <= depth_end; ++depth)
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{
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for (int cn = cn_start; cn <= cn_end; ++cn)
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{
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v.push_back(CV_MAKETYPE(depth, cn));
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}
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}
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return v;
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}
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const std::vector<int>& all_types()
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{
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static std::vector<int> v = types(CV_8U, CV_64F, 1, 4);
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return v;
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}
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cv::Mat readImage(const std::string& fileName, int flags)
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{
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return cv::imread(std::string(cvtest::TS::ptr()->get_data_path()) + fileName, flags);
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}
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double checkNorm(const cv::Mat& m1, const cv::Mat& m2)
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{
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return cv::norm(m1, m2, cv::NORM_INF);
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}
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double checkSimilarity(const cv::Mat& m1, const cv::Mat& m2)
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{
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cv::Mat diff;
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cv::matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED);
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return std::abs(diff.at<float>(0, 0) - 1.f);
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}
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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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{
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return os << sz.width << "x" << sz.height;
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}
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std::ostream& operator << (std::ostream& os, const Scalar& s)
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{
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return os << "[" << s[0] << ", " << s[1] << ", " << s[2] << ", " << s[3] << "]";
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}
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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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return os << info.name();
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}
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}
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}
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