Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// 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, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.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.
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// any express or implied warranties, including, but not limited to, the implied
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// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
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// loss of use, data, or profits; or business interruption) however caused
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//M*/
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#include "../perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
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namespace ocl {
///////////// HOG////////////////////////
struct RectLess
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{
bool operator()(const cv::Rect& a,
const cv::Rect& b) const
{
if (a.x != b.x)
return a.x < b.x;
else if (a.y != b.y)
return a.y < b.y;
else if (a.width != b.width)
return a.width < b.width;
else
return a.height < b.height;
}
};
OCL_PERF_TEST(HOGFixture, HOG)
{
UMat src;
imread(getDataPath("gpu/hog/road.png"), cv::IMREAD_GRAYSCALE).copyTo(src);
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ASSERT_FALSE(src.empty());
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vector<cv::Rect> found_locations;
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declare.in(src);
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HOGDescriptor hog;
hog.setSVMDetector(hog.getDefaultPeopleDetector());
OCL_TEST_CYCLE() hog.detectMultiScale(src, found_locations);
std::sort(found_locations.begin(), found_locations.end(), RectLess());
SANITY_CHECK(found_locations, 3);
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}
}
}
#endif