mirror of
https://github.com/opencv/opencv.git
synced 2024-11-26 12:10:49 +08:00
162 lines
5.8 KiB
C++
162 lines
5.8 KiB
C++
/*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 oclMaterials 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 "precomp.hpp"
|
|
|
|
///////////// HOG////////////////////////
|
|
bool match_rect(cv::Rect r1, cv::Rect r2, int threshold)
|
|
{
|
|
return ((abs(r1.x - r2.x) < threshold) && (abs(r1.y - r2.y) < threshold) &&
|
|
(abs(r1.width - r2.width) < threshold) && (abs(r1.height - r2.height) < threshold));
|
|
}
|
|
|
|
PERFTEST(HOG)
|
|
{
|
|
Mat src = imread(abspath("road.png"), cv::IMREAD_GRAYSCALE);
|
|
|
|
if (src.empty())
|
|
{
|
|
throw runtime_error("can't open road.png");
|
|
}
|
|
|
|
|
|
cv::HOGDescriptor hog;
|
|
hog.setSVMDetector(hog.getDefaultPeopleDetector());
|
|
std::vector<cv::Rect> found_locations;
|
|
std::vector<cv::Rect> d_found_locations;
|
|
|
|
SUBTEST << 768 << 'x' << 576 << "; road.png";
|
|
|
|
hog.detectMultiScale(src, found_locations);
|
|
|
|
CPU_ON;
|
|
hog.detectMultiScale(src, found_locations);
|
|
CPU_OFF;
|
|
|
|
cv::ocl::HOGDescriptor ocl_hog;
|
|
ocl_hog.setSVMDetector(ocl_hog.getDefaultPeopleDetector());
|
|
ocl::oclMat d_src;
|
|
d_src.upload(src);
|
|
|
|
WARMUP_ON;
|
|
ocl_hog.detectMultiScale(d_src, d_found_locations);
|
|
WARMUP_OFF;
|
|
|
|
// Ground-truth rectangular people window
|
|
cv::Rect win1_64x128(231, 190, 72, 144);
|
|
cv::Rect win2_64x128(621, 156, 97, 194);
|
|
cv::Rect win1_48x96(238, 198, 63, 126);
|
|
cv::Rect win2_48x96(619, 161, 92, 185);
|
|
cv::Rect win3_48x96(488, 136, 56, 112);
|
|
|
|
// Compare whether ground-truth windows are detected and compare the number of windows detected.
|
|
std::vector<int> d_comp(4);
|
|
std::vector<int> comp(4);
|
|
for(int i = 0; i < (int)d_comp.size(); i++)
|
|
{
|
|
d_comp[i] = 0;
|
|
comp[i] = 0;
|
|
}
|
|
|
|
int threshold = 10;
|
|
int val = 32;
|
|
d_comp[0] = (int)d_found_locations.size();
|
|
comp[0] = (int)found_locations.size();
|
|
|
|
cv::Size winSize = hog.winSize;
|
|
|
|
if (winSize == cv::Size(48, 96))
|
|
{
|
|
for(int i = 0; i < (int)d_found_locations.size(); i++)
|
|
{
|
|
if (match_rect(d_found_locations[i], win1_48x96, threshold))
|
|
d_comp[1] = val;
|
|
if (match_rect(d_found_locations[i], win2_48x96, threshold))
|
|
d_comp[2] = val;
|
|
if (match_rect(d_found_locations[i], win3_48x96, threshold))
|
|
d_comp[3] = val;
|
|
}
|
|
for(int i = 0; i < (int)found_locations.size(); i++)
|
|
{
|
|
if (match_rect(found_locations[i], win1_48x96, threshold))
|
|
comp[1] = val;
|
|
if (match_rect(found_locations[i], win2_48x96, threshold))
|
|
comp[2] = val;
|
|
if (match_rect(found_locations[i], win3_48x96, threshold))
|
|
comp[3] = val;
|
|
}
|
|
}
|
|
else if (winSize == cv::Size(64, 128))
|
|
{
|
|
for(int i = 0; i < (int)d_found_locations.size(); i++)
|
|
{
|
|
if (match_rect(d_found_locations[i], win1_64x128, threshold))
|
|
d_comp[1] = val;
|
|
if (match_rect(d_found_locations[i], win2_64x128, threshold))
|
|
d_comp[2] = val;
|
|
}
|
|
for(int i = 0; i < (int)found_locations.size(); i++)
|
|
{
|
|
if (match_rect(found_locations[i], win1_64x128, threshold))
|
|
comp[1] = val;
|
|
if (match_rect(found_locations[i], win2_64x128, threshold))
|
|
comp[2] = val;
|
|
}
|
|
}
|
|
|
|
cv::Mat ocl_mat;
|
|
ocl_mat = cv::Mat(d_comp);
|
|
ocl_mat.convertTo(ocl_mat, cv::Mat(comp).type());
|
|
TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat, cv::Mat(comp), 3));
|
|
|
|
GPU_ON;
|
|
ocl_hog.detectMultiScale(d_src, found_locations);
|
|
GPU_OFF;
|
|
|
|
GPU_FULL_ON;
|
|
d_src.upload(src);
|
|
ocl_hog.detectMultiScale(d_src, found_locations);
|
|
GPU_FULL_OFF;
|
|
} |