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Open Source Computer Vision Library
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121 lines
4.3 KiB
121 lines
4.3 KiB
/////////////////////////////////////////////////////////////////////////////////////// |
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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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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved. |
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// @Authors |
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// Niko Li, newlife20080214@gmail.com |
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// Jia Haipeng, jiahaipeng95@gmail.com |
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// Shengen Yan, yanshengen@gmail.com |
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// Jiang Liyuan,jlyuan001.good@163.com |
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// Rock Li, Rock.Li@amd.com |
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// Zailong Wu, bullet@yeah.net |
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// Yao Wang, bitwangyaoyao@gmail.com |
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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 the copyright holders 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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#include "opencv2/ts/ocl_test.hpp" |
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#ifdef HAVE_OPENCL |
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namespace cvtest { |
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namespace ocl { |
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///////////////////// HOG ///////////////////////////// |
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PARAM_TEST_CASE(HOG, Size, MatType) |
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{ |
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Size winSize; |
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int type; |
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Mat img; |
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UMat uimg; |
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virtual void SetUp() |
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{ |
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winSize = GET_PARAM(0); |
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type = GET_PARAM(1); |
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img = readImage("cascadeandhog/images/image_00000000_0.png", IMREAD_GRAYSCALE); |
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ASSERT_FALSE(img.empty()); |
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img.copyTo(uimg); |
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} |
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}; |
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OCL_TEST_P(HOG, GetDescriptors) |
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{ |
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HOGDescriptor hog; |
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hog.gammaCorrection = true; |
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hog.setSVMDetector(hog.getDefaultPeopleDetector()); |
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std::vector<float> cpu_descriptors; |
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std::vector<float> gpu_descriptors; |
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OCL_OFF(hog.compute(img, cpu_descriptors, hog.winSize)); |
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OCL_ON(hog.compute(uimg, gpu_descriptors, hog.winSize)); |
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Mat cpu_desc(cpu_descriptors), gpu_desc(gpu_descriptors); |
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EXPECT_MAT_SIMILAR(cpu_desc, gpu_desc, 1e-1); |
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} |
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OCL_TEST_P(HOG, Detect) |
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{ |
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HOGDescriptor hog; |
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hog.winSize = winSize; |
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hog.gammaCorrection = true; |
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if (winSize.width == 48 && winSize.height == 96) |
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hog.setSVMDetector(hog.getDaimlerPeopleDetector()); |
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else |
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hog.setSVMDetector(hog.getDefaultPeopleDetector()); |
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std::vector<Rect> cpu_found; |
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std::vector<Rect> gpu_found; |
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OCL_OFF(hog.detectMultiScale(img, cpu_found, 0, Size(8, 8), Size(0, 0), 1.05, 6)); |
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OCL_ON(hog.detectMultiScale(uimg, gpu_found, 0, Size(8, 8), Size(0, 0), 1.05, 6)); |
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EXPECT_LT(checkRectSimilarity(img.size(), cpu_found, gpu_found), 0.05); |
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} |
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INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, HOG, testing::Combine( |
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testing::Values(Size(64, 128), Size(48, 96)), |
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testing::Values( MatType(CV_8UC1) ) ) ); |
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}} |
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#endif
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