mirror of https://github.com/opencv/opencv.git
add getoclcontext and getoclcommandqueue so that other opencl program can interactive with opencv ocl module correct haar test cases add face detection samplepull/21/merge
niko
13 years ago
parent
11e16a7204
commit
6f6e990988
8 changed files with 438 additions and 450 deletions
@ -1,83 +0,0 @@ |
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/*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, Institute Of Software Chinese Academy Of Science, 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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// Niko Li, newlife20080214@gmail.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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#include "threadsafe.h" |
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CriticalSection::CriticalSection() |
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{ |
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#if defined WIN32 || defined _WIN32 |
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InitializeCriticalSection(&m_CritSec); |
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#else |
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pthread_mutex_init(&m_CritSec, NULL); |
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#endif |
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} |
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CriticalSection::~CriticalSection() |
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{ |
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#if defined WIN32 || defined _WIN32 |
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DeleteCriticalSection(&m_CritSec); |
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#else |
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pthread_mutex_destroy(&m_CritSec); |
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#endif |
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} |
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void CriticalSection::Lock() |
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{ |
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#if defined WIN32 || defined _WIN32 |
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EnterCriticalSection(&m_CritSec); |
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#else |
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pthread_mutex_lock(&m_CritSec); |
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#endif |
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} |
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void CriticalSection::Unlock() |
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{ |
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#if defined WIN32 || defined _WIN32 |
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LeaveCriticalSection(&m_CritSec); |
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#else |
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pthread_mutex_unlock(&m_CritSec); |
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#endif |
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} |
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@ -1,92 +0,0 @@ |
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/*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, Institute Of Software Chinese Academy Of Science, 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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//
|
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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 GpuMaterials 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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#if defined WIN32 || defined _WIN32 |
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#include <Windows.h> |
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#undef min |
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#undef max |
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#else |
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#include <pthread.h> |
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#endif |
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class CriticalSection |
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{ |
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public: |
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CriticalSection(); |
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~CriticalSection(); |
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// Jia Haipeng, jiahaipeng95@gmail.com
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void Lock(); |
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void Unlock(); |
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protected: |
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#if defined WIN32 || defined _WIN32 |
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CRITICAL_SECTION m_CritSec; |
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#else |
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pthread_mutex_t m_CritSec; |
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#endif |
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}; |
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class myAutoLock |
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{ |
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public: |
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explicit myAutoLock(CriticalSection *lock) |
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{ |
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m_lock = lock; |
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m_lock->Lock(); |
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}; |
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~myAutoLock() |
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{ |
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m_lock->Unlock(); |
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}; |
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protected: |
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CriticalSection *m_lock; |
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}; |
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@ -0,0 +1,229 @@ |
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//This sample is inherited from facedetect.cpp in smaple/c
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#include "opencv2/objdetect/objdetect.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/imgproc/imgproc.hpp" |
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#include "opencv2/ocl/ocl.hpp" |
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#include <iostream> |
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#include <stdio.h> |
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using namespace std; |
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using namespace cv; |
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void help() |
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{ |
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cout << "\nThis program demonstrates the cascade recognizer.\n" |
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"This classifier can recognize many ~rigid objects, it's most known use is for faces.\n" |
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"Usage:\n" |
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"./facedetect [--cascade=<cascade_path> this is the primary trained classifier such as frontal face]\n" |
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" [--scale=<image scale greater or equal to 1, try 1.3 for example>\n" |
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" [filename|camera_index]\n\n" |
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"see facedetect.cmd for one call:\n" |
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"./facedetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --scale=1.3 \n" |
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"Hit any key to quit.\n" |
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"Using OpenCV version " << CV_VERSION << "\n" << endl; |
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} |
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struct getRect { Rect operator ()(const CvAvgComp& e) const { return e.rect; } }; |
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void detectAndDraw( Mat& img, |
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cv::ocl::OclCascadeClassifier& cascade, CascadeClassifier& nestedCascade, |
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double scale); |
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String cascadeName = "../../../data/haarcascades/haarcascade_frontalface_alt.xml"; |
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int main( int argc, const char** argv ) |
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{ |
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CvCapture* capture = 0; |
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Mat frame, frameCopy, image; |
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const String scaleOpt = "--scale="; |
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size_t scaleOptLen = scaleOpt.length(); |
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const String cascadeOpt = "--cascade="; |
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size_t cascadeOptLen = cascadeOpt.length(); |
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String inputName; |
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help(); |
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cv::ocl::OclCascadeClassifier cascade; |
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CascadeClassifier nestedCascade; |
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double scale = 1; |
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for( int i = 1; i < argc; i++ ) |
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{ |
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cout << "Processing " << i << " " << argv[i] << endl; |
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if( cascadeOpt.compare( 0, cascadeOptLen, argv[i], cascadeOptLen ) == 0 ) |
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{ |
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cascadeName.assign( argv[i] + cascadeOptLen ); |
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cout << " from which we have cascadeName= " << cascadeName << endl; |
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} |
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else if( scaleOpt.compare( 0, scaleOptLen, argv[i], scaleOptLen ) == 0 ) |
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{ |
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if( !sscanf( argv[i] + scaleOpt.length(), "%lf", &scale ) || scale < 1 ) |
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scale = 1; |
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cout << " from which we read scale = " << scale << endl; |
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} |
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else if( argv[i][0] == '-' ) |
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{ |
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cerr << "WARNING: Unknown option %s" << argv[i] << endl; |
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} |
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else |
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inputName.assign( argv[i] ); |
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} |
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if( !cascade.load( cascadeName ) ) |
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{ |
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cerr << "ERROR: Could not load classifier cascade" << endl; |
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cerr << "Usage: facedetect [--cascade=<cascade_path>]\n" |
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" [--scale[=<image scale>\n" |
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" [filename|camera_index]\n" << endl ; |
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return -1; |
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} |
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if( inputName.empty() || (isdigit(inputName.c_str()[0]) && inputName.c_str()[1] == '\0') ) |
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{ |
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capture = cvCaptureFromCAM( inputName.empty() ? 0 : inputName.c_str()[0] - '0' ); |
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int c = inputName.empty() ? 0 : inputName.c_str()[0] - '0' ; |
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if(!capture) cout << "Capture from CAM " << c << " didn't work" << endl; |
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} |
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else if( inputName.size() ) |
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{ |
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image = imread( inputName, 1 ); |
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if( image.empty() ) |
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{ |
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capture = cvCaptureFromAVI( inputName.c_str() ); |
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if(!capture) cout << "Capture from AVI didn't work" << endl; |
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} |
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} |
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else |
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{ |
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image = imread( "lena.jpg", 1 ); |
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if(image.empty()) cout << "Couldn't read lena.jpg" << endl; |
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} |
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cvNamedWindow( "result", 1 ); |
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std::vector<cv::ocl::Info> oclinfo; |
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int devnums = cv::ocl::getDevice(oclinfo); |
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if(devnums<1) |
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{ |
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std::cout << "no device found\n"; |
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return -1; |
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} |
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//if you want to use undefault device, set it here
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//setDevice(oclinfo[0]);
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//setBinpath(CLBINPATH);
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if( capture ) |
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{ |
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cout << "In capture ..." << endl; |
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for(;;) |
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{ |
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IplImage* iplImg = cvQueryFrame( capture ); |
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frame = iplImg; |
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if( frame.empty() ) |
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break; |
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if( iplImg->origin == IPL_ORIGIN_TL ) |
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frame.copyTo( frameCopy ); |
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else |
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flip( frame, frameCopy, 0 ); |
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detectAndDraw( frameCopy, cascade, nestedCascade, scale ); |
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if( waitKey( 10 ) >= 0 ) |
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goto _cleanup_; |
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} |
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waitKey(0); |
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_cleanup_: |
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cvReleaseCapture( &capture ); |
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} |
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else |
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{ |
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cout << "In image read" << endl; |
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if( !image.empty() ) |
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{ |
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detectAndDraw( image, cascade, nestedCascade, scale ); |
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waitKey(0); |
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} |
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else if( !inputName.empty() ) |
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{ |
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/* assume it is a text file containing the
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list of the image filenames to be processed - one per line */ |
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FILE* f = fopen( inputName.c_str(), "rt" ); |
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if( f ) |
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{ |
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char buf[1000+1]; |
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while( fgets( buf, 1000, f ) ) |
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{ |
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int len = (int)strlen(buf), c; |
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while( len > 0 && isspace(buf[len-1]) ) |
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len--; |
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buf[len] = '\0'; |
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cout << "file " << buf << endl; |
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image = imread( buf, 1 ); |
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if( !image.empty() ) |
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{ |
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detectAndDraw( image, cascade, nestedCascade, scale ); |
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c = waitKey(0); |
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if( c == 27 || c == 'q' || c == 'Q' ) |
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break; |
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} |
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else |
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{ |
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cerr << "Aw snap, couldn't read image " << buf << endl; |
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} |
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} |
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fclose(f); |
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} |
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} |
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} |
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cvDestroyWindow("result"); |
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return 0; |
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} |
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void detectAndDraw( Mat& img, |
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cv::ocl::OclCascadeClassifier& cascade, CascadeClassifier& nestedCascade, |
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double scale) |
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{ |
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int i = 0; |
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double t = 0; |
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vector<Rect> faces; |
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const static Scalar colors[] = { CV_RGB(0,0,255), |
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CV_RGB(0,128,255), |
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CV_RGB(0,255,255), |
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CV_RGB(0,255,0), |
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CV_RGB(255,128,0), |
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CV_RGB(255,255,0), |
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CV_RGB(255,0,0), |
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CV_RGB(255,0,255)} ; |
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cv::ocl::oclMat image(img); |
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cv::ocl::oclMat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 ); |
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cv::ocl::cvtColor( image, gray, CV_BGR2GRAY ); |
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cv::ocl::resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR ); |
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cv::ocl::equalizeHist( smallImg, smallImg ); |
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CvSeq* _objects; |
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MemStorage storage(cvCreateMemStorage(0)); |
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t = (double)cvGetTickCount(); |
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_objects = cascade.oclHaarDetectObjects( smallImg, storage, 1.1, |
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3, 0 |
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|CV_HAAR_SCALE_IMAGE |
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, Size(30,30), Size(0, 0) ); |
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vector<CvAvgComp> vecAvgComp; |
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Seq<CvAvgComp>(_objects).copyTo(vecAvgComp); |
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faces.resize(vecAvgComp.size()); |
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std::transform(vecAvgComp.begin(), vecAvgComp.end(), faces.begin(), getRect()); |
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t = (double)cvGetTickCount() - t; |
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printf( "detection time = %g ms\n", t/((double)cvGetTickFrequency()*1000.) ); |
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for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ ) |
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{ |
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Mat smallImgROI; |
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Point center; |
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Scalar color = colors[i%8]; |
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int radius; |
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center.x = cvRound((r->x + r->width*0.5)*scale); |
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center.y = cvRound((r->y + r->height*0.5)*scale); |
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radius = cvRound((r->width + r->height)*0.25*scale); |
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circle( img, center, radius, color, 3, 8, 0 ); |
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} |
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cv::imshow( "result", img ); |
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} |
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