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