mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
140 lines
4.7 KiB
140 lines
4.7 KiB
/////////////////////////////////////////////////////////////////////////////////////// |
|
// |
|
// 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<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 |
|
#endif
|
|
|