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https://github.com/opencv/opencv.git
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e845184843
* #1538 from StevenPuttemans:bugfix_3283 * #1545 from alalek:ocl_test_fix_rng * #1551 from alalek:cmake_install_win * #1570 from ilya-lavrenov:ipp_warn_fix * #1573 from alalek:perf_simple_strategy * #1574 from alalek:svm_workaround * #1576 from alalek:ocl_fix_cl_double * #1577 from ilya-lavrenov:ocl_setto_opencl12 * #1578 from asmorkalov:android_fd_cp_fix * #1579 from ilya-lavrenov:ocl_norm * #1582 from sperrholz:ocl-arithm-additions * #1586 from ilya-lavrenov:ocl_setto_win_fix * #1589 from ilya-lavrenov:pr1582_fix * #1591 from alalek:ocl_remove_cl_hpp_h * #1592 from alalek:ocl_program_cache_update * #1593 from ilya-lavrenov:ocl_war_on_double * #1594 from ilya-lavrenov:ocl_perf * #1595 from alalek:cl_code_cleanup * #1596 from alalek:test_fix_run_py * #1597 from alalek:ocl_fix_cleanup * #1598 from alalek:ocl_fix_build_mac * #1599 from ilya-lavrenov:ocl_mac_kernel_warnings * #1601 from ilya-lavrenov:ocl_fix_tvl1_and_sparse * #1602 from alalek:ocl_test_dump_info * #1603 from ilya-lavrenov:ocl_disable_svm_noblas * #1605 from alalek:ocl_fixes * #1606 from ilya-lavrenov:ocl_imgproc * #1607 from ilya-lavrenov:ocl_fft_cleanup * #1608 from alalek:fix_warn_upd_haar * #1609 from ilya-lavrenov:ocl_some_optimization * #1610 from alalek:ocl_fix_perf_kalman * #1612 from alalek:ocl_fix_string_info * #1614 from ilya-lavrenov:ocl_svm_misprint * #1616 from ilya-lavrenov:ocl_cvtColor * #1617 from ilya-lavrenov:ocl_info * #1622 from a0byte:2.4 * #1625 from ilya-lavrenov:to_string Conflicts: cmake/OpenCVConfig.cmake cmake/OpenCVDetectPython.cmake cmake/OpenCVGenConfig.cmake modules/core/CMakeLists.txt modules/nonfree/src/surf.ocl.cpp modules/ocl/include/opencv2/ocl/ocl.hpp modules/ocl/include/opencv2/ocl/private/util.hpp modules/ocl/perf/main.cpp modules/ocl/src/arithm.cpp modules/ocl/src/cl_operations.cpp modules/ocl/src/cl_programcache.cpp modules/ocl/src/color.cpp modules/ocl/src/fft.cpp modules/ocl/src/filtering.cpp modules/ocl/src/gemm.cpp modules/ocl/src/haar.cpp modules/ocl/src/imgproc.cpp modules/ocl/src/matrix_operations.cpp modules/ocl/src/pyrlk.cpp modules/ocl/src/split_merge.cpp modules/ocl/src/svm.cpp modules/ocl/test/main.cpp modules/ocl/test/test_fft.cpp modules/ocl/test/test_moments.cpp modules/ocl/test/test_objdetect.cpp modules/ocl/test/test_optflow.cpp modules/ocl/test/utility.hpp modules/python/CMakeLists.txt modules/ts/include/opencv2/ts.hpp modules/ts/src/ts_perf.cpp samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp
416 lines
11 KiB
C++
416 lines
11 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, copy or use the software.
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//
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// Copyright (C) 2009, Farhad Dadgostar
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// Intel Corporation and third party copyrights are property of their respective owners.
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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 <iostream>
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#include <cstdio>
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#include <cstring>
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#include <ctime>
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#include "opencv2/contrib/compat.hpp"
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#include "opencv2/highgui/highgui_c.h"
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#ifndef _CRT_SECURE_NO_WARNINGS
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# define _CRT_SECURE_NO_WARNINGS
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#endif
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static void help(char **argv)
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{
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std::cout << "\nThis program demonstrates the contributed flesh detector CvAdaptiveSkinDetector which can be found in contrib.cpp\n"
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<< "Usage: " << std::endl <<
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argv[0] << " fileMask firstFrame lastFrame" << std::endl << std::endl <<
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"Example: " << std::endl <<
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argv[0] << " C:\\VideoSequences\\sample1\\right_view\\temp_%05d.jpg 0 1000" << std::endl <<
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" iterates through temp_00000.jpg to temp_01000.jpg" << std::endl << std::endl <<
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"If no parameter specified, this application will try to capture from the default Webcam." << std::endl <<
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"Please note: Background should not contain large surfaces with skin tone." <<
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"\n\n ESC will stop\n"
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"Using OpenCV version %s\n" << CV_VERSION << "\n"
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<< std::endl;
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}
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class ASDFrameHolder
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{
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private:
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IplImage *image;
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double timeStamp;
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public:
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ASDFrameHolder();
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virtual ~ASDFrameHolder();
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virtual void assignFrame(IplImage *sourceImage, double frameTime);
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inline IplImage *getImage();
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inline double getTimeStamp();
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virtual void setImage(IplImage *sourceImage);
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};
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class ASDFrameSequencer
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{
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public:
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virtual ~ASDFrameSequencer();
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virtual IplImage *getNextImage();
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virtual void close();
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virtual bool isOpen();
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virtual void getFrameCaption(char *caption);
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};
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class ASDCVFrameSequencer : public ASDFrameSequencer
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{
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protected:
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CvCapture *capture;
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public:
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virtual IplImage *getNextImage();
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virtual void close();
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virtual bool isOpen();
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};
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class ASDFrameSequencerWebCam : public ASDCVFrameSequencer
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{
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public:
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virtual bool open(int cameraIndex);
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};
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class ASDFrameSequencerVideoFile : public ASDCVFrameSequencer
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{
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public:
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virtual bool open(const char *fileName);
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};
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class ASDFrameSequencerImageFile : public ASDFrameSequencer {
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private:
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char sFileNameMask[2048];
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int nCurrentIndex, nStartIndex, nEndIndex;
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public:
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virtual void open(const char *fileNameMask, int startIndex, int endIndex);
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virtual void getFrameCaption(char *caption);
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virtual IplImage *getNextImage();
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virtual void close();
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virtual bool isOpen();
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};
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//-------------------- ASDFrameHolder -----------------------//
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ASDFrameHolder::ASDFrameHolder( )
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{
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image = NULL;
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timeStamp = 0;
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};
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ASDFrameHolder::~ASDFrameHolder( )
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{
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cvReleaseImage(&image);
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};
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void ASDFrameHolder::assignFrame(IplImage *sourceImage, double frameTime)
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{
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if (image != NULL)
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{
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cvReleaseImage(&image);
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image = NULL;
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}
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image = cvCloneImage(sourceImage);
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timeStamp = frameTime;
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};
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IplImage *ASDFrameHolder::getImage()
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{
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return image;
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};
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double ASDFrameHolder::getTimeStamp()
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{
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return timeStamp;
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};
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void ASDFrameHolder::setImage(IplImage *sourceImage)
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{
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image = sourceImage;
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};
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//-------------------- ASDFrameSequencer -----------------------//
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ASDFrameSequencer::~ASDFrameSequencer()
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{
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close();
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};
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IplImage *ASDFrameSequencer::getNextImage()
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{
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return NULL;
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};
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void ASDFrameSequencer::close()
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{
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};
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bool ASDFrameSequencer::isOpen()
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{
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return false;
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};
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void ASDFrameSequencer::getFrameCaption(char* /*caption*/) {
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return;
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};
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IplImage* ASDCVFrameSequencer::getNextImage()
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{
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IplImage *image;
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image = cvQueryFrame(capture);
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if (image != NULL)
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{
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return cvCloneImage(image);
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}
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else
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{
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return NULL;
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}
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};
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void ASDCVFrameSequencer::close()
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{
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if (capture != NULL)
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{
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cvReleaseCapture(&capture);
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}
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};
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bool ASDCVFrameSequencer::isOpen()
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{
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return (capture != NULL);
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};
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//-------------------- ASDFrameSequencerWebCam -----------------------//
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bool ASDFrameSequencerWebCam::open(int cameraIndex)
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{
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close();
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capture = cvCaptureFromCAM(cameraIndex);
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if (!capture)
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{
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return false;
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}
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else
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{
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return true;
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}
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};
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//-------------------- ASDFrameSequencerVideoFile -----------------------//
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bool ASDFrameSequencerVideoFile::open(const char *fileName)
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{
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close();
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capture = cvCaptureFromFile(fileName);
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if (!capture)
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{
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return false;
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}
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else
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{
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return true;
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}
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};
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//-------------------- ASDFrameSequencerImageFile -----------------------//
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void ASDFrameSequencerImageFile::open(const char *fileNameMask, int startIndex, int endIndex)
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{
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nCurrentIndex = startIndex-1;
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nStartIndex = startIndex;
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nEndIndex = endIndex;
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std::sprintf(sFileNameMask, "%s", fileNameMask);
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};
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void ASDFrameSequencerImageFile::getFrameCaption(char *caption) {
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std::sprintf(caption, sFileNameMask, nCurrentIndex);
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};
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IplImage* ASDFrameSequencerImageFile::getNextImage()
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{
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char fileName[2048];
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nCurrentIndex++;
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if (nCurrentIndex > nEndIndex)
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return NULL;
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std::sprintf(fileName, sFileNameMask, nCurrentIndex);
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IplImage* img = cvLoadImage(fileName);
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return img;
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};
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void ASDFrameSequencerImageFile::close()
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{
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nCurrentIndex = nEndIndex+1;
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};
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bool ASDFrameSequencerImageFile::isOpen()
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{
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return (nCurrentIndex <= nEndIndex);
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};
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static void putTextWithShadow(IplImage *img, const char *str, CvPoint point, CvFont *font, CvScalar color = CV_RGB(255, 255, 128))
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{
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cvPutText(img, str, cvPoint(point.x-1,point.y-1), font, CV_RGB(0, 0, 0));
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cvPutText(img, str, point, font, color);
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};
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#define ASD_RGB_SET_PIXEL(pointer, r, g, b) { (*pointer) = (unsigned char)b; (*(pointer+1)) = (unsigned char)g; (*(pointer+2)) = (unsigned char)r; }
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#define ASD_RGB_GET_PIXEL(pointer, r, g, b) {b = (unsigned char)(*(pointer)); g = (unsigned char)(*(pointer+1)); r = (unsigned char)(*(pointer+2));}
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static void displayBuffer(IplImage *rgbDestImage, IplImage *buffer, int rValue, int gValue, int bValue)
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{
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int x, y, nWidth, nHeight;
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double destX, destY, dx, dy;
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uchar c;
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unsigned char *pSrc;
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nWidth = buffer->width;
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nHeight = buffer->height;
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dx = double(rgbDestImage->width)/double(nWidth);
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dy = double(rgbDestImage->height)/double(nHeight);
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destX = 0;
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for (x = 0; x < nWidth; x++)
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{
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destY = 0;
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for (y = 0; y < nHeight; y++)
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{
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c = ((uchar*)(buffer->imageData + buffer->widthStep*y))[x];
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if (c)
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{
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pSrc = (unsigned char *)rgbDestImage->imageData + rgbDestImage->widthStep*int(destY) + (int(destX)*rgbDestImage->nChannels);
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ASD_RGB_SET_PIXEL(pSrc, rValue, gValue, bValue);
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}
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destY += dy;
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}
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destY = 0;
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destX += dx;
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}
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};
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int main(int argc, char** argv )
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{
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IplImage *img, *filterMask = NULL;
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CvAdaptiveSkinDetector filter(1, CvAdaptiveSkinDetector::MORPHING_METHOD_ERODE_DILATE);
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ASDFrameSequencer *sequencer;
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CvFont base_font;
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char caption[2048], s[256], windowName[256];
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long int clockTotal = 0, numFrames = 0;
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std::clock_t clock;
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if (argc < 4)
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{
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help(argv);
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sequencer = new ASDFrameSequencerWebCam();
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(dynamic_cast<ASDFrameSequencerWebCam*>(sequencer))->open(-1);
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if (! sequencer->isOpen())
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{
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std::cout << std::endl << "Error: Cannot initialize the default Webcam" << std::endl << std::endl;
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}
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}
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else
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{
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sequencer = new ASDFrameSequencerImageFile();
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(dynamic_cast<ASDFrameSequencerImageFile*>(sequencer))->open(argv[1], std::atoi(argv[2]), std::atoi(argv[3]) ); // A sequence of images captured from video source, is stored here
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}
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std::sprintf(windowName, "%s", "Adaptive Skin Detection Algorithm for Video Sequences");
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cvNamedWindow(windowName, CV_WINDOW_AUTOSIZE);
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cvInitFont( &base_font, CV_FONT_VECTOR0, 0.5, 0.5);
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// Usage:
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// c:\>CvASDSample "C:\VideoSequences\sample1\right_view\temp_%05d.jpg" 0 1000
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std::cout << "Press ESC to stop." << std::endl << std::endl;
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while ((img = sequencer->getNextImage()) != 0)
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{
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numFrames++;
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if (filterMask == NULL)
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{
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filterMask = cvCreateImage( cvSize(img->width, img->height), IPL_DEPTH_8U, 1);
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}
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clock = std::clock();
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filter.process(img, filterMask); // DETECT SKIN
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clockTotal += (std::clock() - clock);
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displayBuffer(img, filterMask, 0, 255, 0);
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sequencer->getFrameCaption(caption);
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std::sprintf(s, "%s - %d x %d", caption, img->width, img->height);
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putTextWithShadow(img, s, cvPoint(10, img->height-35), &base_font);
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std::sprintf(s, "Average processing time per frame: %5.2fms", (double(clockTotal*1000/CLOCKS_PER_SEC))/numFrames);
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putTextWithShadow(img, s, cvPoint(10, img->height-15), &base_font);
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cvShowImage (windowName, img);
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cvReleaseImage(&img);
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if (cvWaitKey(1) == 27)
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break;
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}
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sequencer->close();
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delete sequencer;
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cvReleaseImage(&filterMask);
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cvDestroyWindow(windowName);
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std::cout << "Finished, " << numFrames << " frames processed." << std::endl;
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return 0;
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}
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