| /////////////////////////////////////////////////////////////////////////////////////// | |
| // | |
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| // 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: | |
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| // this list of conditions and the following disclaimer. | |
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| // this list of conditions and the following disclaimer in the documentation | |
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| // * The name of the copyright holders may not be used to endorse or promote products | |
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| // This software is provided by the copyright holders and contributors "as is" and | |
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| // | |
| //M*/ | |
| 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<float> cpu_descriptors; | |
| std::vector<float> 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<Rect> cpu_found; | |
| std::vector<Rect> 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 | |