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https://github.com/opencv/opencv.git
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ad5cddc007
e.g. <opencv2/core/core.hpp> become <opencv2/core.hpp> Also renamed <opencv2/core/opengl_interop.hpp> to <opencv2/core/opengl.hpp>
254 lines
8.0 KiB
C++
254 lines
8.0 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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// Intel 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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// Wenju He, wenju@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 materials provided with the distribution.
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//
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// * The name of Intel Corporation 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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#include "opencv2/core.hpp"
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using namespace std;
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#ifdef HAVE_OPENCL
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extern string workdir;
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PARAM_TEST_CASE(HOG, cv::Size, int)
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{
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cv::Size winSize;
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int type;
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virtual void SetUp()
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{
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winSize = GET_PARAM(0);
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type = GET_PARAM(1);
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}
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};
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TEST_P(HOG, GetDescriptors)
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{
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// Load image
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cv::Mat img_rgb = readImage(workdir + "lena.jpg");
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ASSERT_FALSE(img_rgb.empty());
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// Convert image
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cv::Mat img;
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switch (type)
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{
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case CV_8UC1:
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cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
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break;
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case CV_8UC4:
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default:
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cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
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break;
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}
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cv::ocl::oclMat d_img(img);
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// HOGs
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cv::ocl::HOGDescriptor ocl_hog;
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ocl_hog.gamma_correction = true;
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cv::HOGDescriptor hog;
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hog.gammaCorrection = true;
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// Compute descriptor
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cv::ocl::oclMat d_descriptors;
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ocl_hog.getDescriptors(d_img, ocl_hog.win_size, d_descriptors, ocl_hog.DESCR_FORMAT_COL_BY_COL);
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cv::Mat down_descriptors;
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d_descriptors.download(down_descriptors);
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down_descriptors = down_descriptors.reshape(0, down_descriptors.cols * down_descriptors.rows);
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hog.setSVMDetector(hog.getDefaultPeopleDetector());
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std::vector<float> descriptors;
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switch (type)
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{
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case CV_8UC1:
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hog.compute(img, descriptors, ocl_hog.win_size);
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break;
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case CV_8UC4:
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default:
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hog.compute(img_rgb, descriptors, ocl_hog.win_size);
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break;
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}
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cv::Mat cpu_descriptors(descriptors);
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EXPECT_MAT_SIMILAR(down_descriptors, cpu_descriptors, 1e-2);
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}
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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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TEST_P(HOG, Detect)
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{
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// Load image
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cv::Mat img_rgb = readImage(workdir + "lena.jpg");
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ASSERT_FALSE(img_rgb.empty());
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// Convert image
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cv::Mat img;
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switch (type)
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{
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case CV_8UC1:
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cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
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break;
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case CV_8UC4:
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default:
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cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
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break;
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}
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cv::ocl::oclMat d_img(img);
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// HOGs
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if ((winSize != cv::Size(48, 96)) && (winSize != cv::Size(64, 128)))
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winSize = cv::Size(64, 128);
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cv::ocl::HOGDescriptor ocl_hog(winSize);
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ocl_hog.gamma_correction = true;
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cv::HOGDescriptor hog;
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hog.winSize = winSize;
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hog.gammaCorrection = true;
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if (winSize.width == 48 && winSize.height == 96)
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{
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// daimler's base
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ocl_hog.setSVMDetector(ocl_hog.getPeopleDetector48x96());
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hog.setSVMDetector(hog.getDaimlerPeopleDetector());
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}
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else if (winSize.width == 64 && winSize.height == 128)
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{
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ocl_hog.setSVMDetector(ocl_hog.getPeopleDetector64x128());
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hog.setSVMDetector(hog.getDefaultPeopleDetector());
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}
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else
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{
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ocl_hog.setSVMDetector(ocl_hog.getDefaultPeopleDetector());
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hog.setSVMDetector(hog.getDefaultPeopleDetector());
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}
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// OpenCL detection
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std::vector<cv::Rect> d_found;
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ocl_hog.detectMultiScale(d_img, d_found, 0, cv::Size(8, 8), cv::Size(0, 0), 1.05, 2);
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// CPU detection
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std::vector<cv::Rect> found;
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switch (type)
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{
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case CV_8UC1:
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hog.detectMultiScale(img, found, 0, cv::Size(8, 8), cv::Size(0, 0), 1.05, 2);
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break;
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case CV_8UC4:
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default:
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hog.detectMultiScale(img_rgb, found, 0, cv::Size(8, 8), cv::Size(0, 0), 1.05, 2);
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break;
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}
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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.size();
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comp[0] = (int)found.size();
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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.size(); i++)
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{
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if (match_rect(d_found[i], win1_48x96, threshold))
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d_comp[1] = val;
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if (match_rect(d_found[i], win2_48x96, threshold))
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d_comp[2] = val;
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if (match_rect(d_found[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.size(); i++)
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{
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if (match_rect(found[i], win1_48x96, threshold))
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comp[1] = val;
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if (match_rect(found[i], win2_48x96, threshold))
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comp[2] = val;
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if (match_rect(found[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.size(); i++)
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{
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if (match_rect(d_found[i], win1_64x128, threshold))
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d_comp[1] = val;
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if (match_rect(d_found[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.size(); i++)
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{
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if (match_rect(found[i], win1_64x128, threshold))
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comp[1] = val;
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if (match_rect(found[i], win2_64x128, threshold))
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comp[2] = val;
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}
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}
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char s[100] = {0};
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EXPECT_MAT_NEAR(cv::Mat(d_comp), cv::Mat(comp), 3, s);
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, HOG, testing::Combine(
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testing::Values(cv::Size(64, 128), cv::Size(48, 96)),
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC4))));
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#endif //HAVE_OPENCL
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