122 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			122 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| ///////////////////////////////////////////////////////////////////////////////////////
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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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| 
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| #include "test_precomp.hpp"
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| #include "opencv2/ts/ocl_test.hpp"
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| 
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| #ifdef HAVE_OPENCL
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| 
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| namespace cvtest {
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| namespace ocl {
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| 
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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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| 
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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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| 
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|     hog.setSVMDetector(hog.getDefaultPeopleDetector());
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| 
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|     std::vector<float> cpu_descriptors;
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|     std::vector<float> gpu_descriptors;
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| 
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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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| 
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|     Mat cpu_desc(cpu_descriptors), gpu_desc(gpu_descriptors);
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| 
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|     EXPECT_MAT_SIMILAR(cpu_desc, gpu_desc, 1e-1);
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| }
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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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| 
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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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| 
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|     std::vector<Rect> cpu_found;
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|     std::vector<Rect> gpu_found;
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| 
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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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| 
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|     EXPECT_LT(checkRectSimilarity(img.size(), cpu_found, gpu_found), 0.05);
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| }
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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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| }}
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| #endif
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