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162 lines
5.8 KiB
C++
162 lines
5.8 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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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, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, 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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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.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 oclMaterials 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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#include "precomp.hpp"
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///////////// HOG////////////////////////
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bool match_rect(cv::Rect r1, cv::Rect r2, int threshold)
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{
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return ((abs(r1.x - r2.x) < threshold) && (abs(r1.y - r2.y) < threshold) &&
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(abs(r1.width - r2.width) < threshold) && (abs(r1.height - r2.height) < threshold));
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}
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PERFTEST(HOG)
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{
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Mat src = imread(abspath("road.png"), cv::IMREAD_GRAYSCALE);
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if (src.empty())
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{
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throw runtime_error("can't open road.png");
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}
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cv::HOGDescriptor hog;
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hog.setSVMDetector(hog.getDefaultPeopleDetector());
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std::vector<cv::Rect> found_locations;
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std::vector<cv::Rect> d_found_locations;
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SUBTEST << 768 << 'x' << 576 << "; road.png";
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hog.detectMultiScale(src, found_locations);
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CPU_ON;
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hog.detectMultiScale(src, found_locations);
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CPU_OFF;
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cv::ocl::HOGDescriptor ocl_hog;
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ocl_hog.setSVMDetector(ocl_hog.getDefaultPeopleDetector());
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ocl::oclMat d_src;
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d_src.upload(src);
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WARMUP_ON;
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ocl_hog.detectMultiScale(d_src, d_found_locations);
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WARMUP_OFF;
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// Ground-truth rectangular people window
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cv::Rect win1_64x128(231, 190, 72, 144);
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cv::Rect win2_64x128(621, 156, 97, 194);
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cv::Rect win1_48x96(238, 198, 63, 126);
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cv::Rect win2_48x96(619, 161, 92, 185);
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cv::Rect win3_48x96(488, 136, 56, 112);
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// Compare whether ground-truth windows are detected and compare the number of windows detected.
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std::vector<int> d_comp(4);
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std::vector<int> comp(4);
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for(int i = 0; i < (int)d_comp.size(); i++)
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{
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d_comp[i] = 0;
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comp[i] = 0;
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}
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int threshold = 10;
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int val = 32;
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d_comp[0] = (int)d_found_locations.size();
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comp[0] = (int)found_locations.size();
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cv::Size winSize = hog.winSize;
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if (winSize == cv::Size(48, 96))
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{
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for(int i = 0; i < (int)d_found_locations.size(); i++)
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{
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if (match_rect(d_found_locations[i], win1_48x96, threshold))
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d_comp[1] = val;
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if (match_rect(d_found_locations[i], win2_48x96, threshold))
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d_comp[2] = val;
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if (match_rect(d_found_locations[i], win3_48x96, threshold))
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d_comp[3] = val;
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}
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for(int i = 0; i < (int)found_locations.size(); i++)
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{
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if (match_rect(found_locations[i], win1_48x96, threshold))
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comp[1] = val;
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if (match_rect(found_locations[i], win2_48x96, threshold))
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comp[2] = val;
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if (match_rect(found_locations[i], win3_48x96, threshold))
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comp[3] = val;
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}
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}
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else if (winSize == cv::Size(64, 128))
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{
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for(int i = 0; i < (int)d_found_locations.size(); i++)
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{
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if (match_rect(d_found_locations[i], win1_64x128, threshold))
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d_comp[1] = val;
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if (match_rect(d_found_locations[i], win2_64x128, threshold))
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d_comp[2] = val;
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}
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for(int i = 0; i < (int)found_locations.size(); i++)
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{
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if (match_rect(found_locations[i], win1_64x128, threshold))
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comp[1] = val;
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if (match_rect(found_locations[i], win2_64x128, threshold))
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comp[2] = val;
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}
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}
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cv::Mat ocl_mat;
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ocl_mat = cv::Mat(d_comp);
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ocl_mat.convertTo(ocl_mat, cv::Mat(comp).type());
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TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat, cv::Mat(comp), 3));
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GPU_ON;
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ocl_hog.detectMultiScale(d_src, found_locations);
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GPU_OFF;
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GPU_FULL_ON;
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d_src.upload(src);
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ocl_hog.detectMultiScale(d_src, found_locations);
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GPU_FULL_OFF;
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} |