mirror of
https://github.com/opencv/opencv.git
synced 2024-11-27 04:36:36 +08:00
4a297a2443
- removed tr1 usage (dropped in C++17) - moved includes of vector/map/iostream/limits into ts.hpp - require opencv_test + anonymous namespace (added compile check) - fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions - added missing license headers
122 lines
4.3 KiB
C++
122 lines
4.3 KiB
C++
///////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// 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, 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
|