opencv/samples/c/adaptiveskindetector.cpp
2013-04-08 15:47:29 +04:00

414 lines
11 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.
//
// Copyright (C) 2009, Farhad Dadgostar
// Intel Corporation and third party copyrights are property of their respective owners.
//
// 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 materials provided with the distribution.
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// * The name of Intel Corporation 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
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// 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.
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//M*/
#include <iostream>
#include <cstdio>
#include <cstring>
#include <ctime>
#include "opencv2/contrib/contrib.hpp"
#include "opencv2/highgui/highgui_c.h"
static void help(char **argv)
{
std::cout << "\nThis program demonstrates the contributed flesh detector CvAdaptiveSkinDetector which can be found in contrib.cpp\n"
<< "Usage: " << std::endl <<
argv[0] << " fileMask firstFrame lastFrame" << std::endl << std::endl <<
"Example: " << std::endl <<
argv[0] << " C:\\VideoSequences\\sample1\\right_view\\temp_%05d.jpg 0 1000" << std::endl <<
" iterates through temp_00000.jpg to temp_01000.jpg" << std::endl << std::endl <<
"If no parameter specified, this application will try to capture from the default Webcam." << std::endl <<
"Please note: Background should not contain large surfaces with skin tone." <<
"\n\n ESC will stop\n"
"Using OpenCV version %s\n" << CV_VERSION << "\n"
<< std::endl;
}
class ASDFrameHolder
{
private:
IplImage *image;
double timeStamp;
public:
ASDFrameHolder();
virtual ~ASDFrameHolder();
virtual void assignFrame(IplImage *sourceImage, double frameTime);
inline IplImage *getImage();
inline double getTimeStamp();
virtual void setImage(IplImage *sourceImage);
};
class ASDFrameSequencer
{
public:
virtual ~ASDFrameSequencer();
virtual IplImage *getNextImage();
virtual void close();
virtual bool isOpen();
virtual void getFrameCaption(char *caption);
};
class ASDCVFrameSequencer : public ASDFrameSequencer
{
protected:
CvCapture *capture;
public:
virtual IplImage *getNextImage();
virtual void close();
virtual bool isOpen();
};
class ASDFrameSequencerWebCam : public ASDCVFrameSequencer
{
public:
virtual bool open(int cameraIndex);
};
class ASDFrameSequencerVideoFile : public ASDCVFrameSequencer
{
public:
virtual bool open(const char *fileName);
};
class ASDFrameSequencerImageFile : public ASDFrameSequencer {
private:
char sFileNameMask[2048];
int nCurrentIndex, nStartIndex, nEndIndex;
public:
virtual void open(const char *fileNameMask, int startIndex, int endIndex);
virtual void getFrameCaption(char *caption);
virtual IplImage *getNextImage();
virtual void close();
virtual bool isOpen();
};
//-------------------- ASDFrameHolder -----------------------//
ASDFrameHolder::ASDFrameHolder( )
{
image = NULL;
timeStamp = 0;
};
ASDFrameHolder::~ASDFrameHolder( )
{
cvReleaseImage(&image);
};
void ASDFrameHolder::assignFrame(IplImage *sourceImage, double frameTime)
{
if (image != NULL)
{
cvReleaseImage(&image);
image = NULL;
}
image = cvCloneImage(sourceImage);
timeStamp = frameTime;
};
IplImage *ASDFrameHolder::getImage()
{
return image;
};
double ASDFrameHolder::getTimeStamp()
{
return timeStamp;
};
void ASDFrameHolder::setImage(IplImage *sourceImage)
{
image = sourceImage;
};
//-------------------- ASDFrameSequencer -----------------------//
ASDFrameSequencer::~ASDFrameSequencer()
{
close();
};
IplImage *ASDFrameSequencer::getNextImage()
{
return NULL;
};
void ASDFrameSequencer::close()
{
};
bool ASDFrameSequencer::isOpen()
{
return false;
};
void ASDFrameSequencer::getFrameCaption(char* /*caption*/) {
return;
};
IplImage* ASDCVFrameSequencer::getNextImage()
{
IplImage *image;
image = cvQueryFrame(capture);
if (image != NULL)
{
return cvCloneImage(image);
}
else
{
return NULL;
}
};
void ASDCVFrameSequencer::close()
{
if (capture != NULL)
{
cvReleaseCapture(&capture);
}
};
bool ASDCVFrameSequencer::isOpen()
{
return (capture != NULL);
};
//-------------------- ASDFrameSequencerWebCam -----------------------//
bool ASDFrameSequencerWebCam::open(int cameraIndex)
{
close();
capture = cvCaptureFromCAM(cameraIndex);
if (!capture)
{
return false;
}
else
{
return true;
}
};
//-------------------- ASDFrameSequencerVideoFile -----------------------//
bool ASDFrameSequencerVideoFile::open(const char *fileName)
{
close();
capture = cvCaptureFromFile(fileName);
if (!capture)
{
return false;
}
else
{
return true;
}
};
//-------------------- ASDFrameSequencerImageFile -----------------------//
void ASDFrameSequencerImageFile::open(const char *fileNameMask, int startIndex, int endIndex)
{
nCurrentIndex = startIndex-1;
nStartIndex = startIndex;
nEndIndex = endIndex;
std::sprintf(sFileNameMask, "%s", fileNameMask);
};
void ASDFrameSequencerImageFile::getFrameCaption(char *caption) {
std::sprintf(caption, sFileNameMask, nCurrentIndex);
};
IplImage* ASDFrameSequencerImageFile::getNextImage()
{
char fileName[2048];
nCurrentIndex++;
if (nCurrentIndex > nEndIndex)
return NULL;
std::sprintf(fileName, sFileNameMask, nCurrentIndex);
IplImage* img = cvLoadImage(fileName);
return img;
};
void ASDFrameSequencerImageFile::close()
{
nCurrentIndex = nEndIndex+1;
};
bool ASDFrameSequencerImageFile::isOpen()
{
return (nCurrentIndex <= nEndIndex);
};
static void putTextWithShadow(IplImage *img, const char *str, CvPoint point, CvFont *font, CvScalar color = CV_RGB(255, 255, 128))
{
cvPutText(img, str, cvPoint(point.x-1,point.y-1), font, CV_RGB(0, 0, 0));
cvPutText(img, str, point, font, color);
};
#define ASD_RGB_SET_PIXEL(pointer, r, g, b) { (*pointer) = (unsigned char)b; (*(pointer+1)) = (unsigned char)g; (*(pointer+2)) = (unsigned char)r; }
#define ASD_RGB_GET_PIXEL(pointer, r, g, b) {b = (unsigned char)(*(pointer)); g = (unsigned char)(*(pointer+1)); r = (unsigned char)(*(pointer+2));}
static void displayBuffer(IplImage *rgbDestImage, IplImage *buffer, int rValue, int gValue, int bValue)
{
int x, y, nWidth, nHeight;
double destX, destY, dx, dy;
uchar c;
unsigned char *pSrc;
nWidth = buffer->width;
nHeight = buffer->height;
dx = double(rgbDestImage->width)/double(nWidth);
dy = double(rgbDestImage->height)/double(nHeight);
destX = 0;
for (x = 0; x < nWidth; x++)
{
destY = 0;
for (y = 0; y < nHeight; y++)
{
c = ((uchar*)(buffer->imageData + buffer->widthStep*y))[x];
if (c)
{
pSrc = (unsigned char *)rgbDestImage->imageData + rgbDestImage->widthStep*int(destY) + (int(destX)*rgbDestImage->nChannels);
ASD_RGB_SET_PIXEL(pSrc, rValue, gValue, bValue);
}
destY += dy;
}
destY = 0;
destX += dx;
}
};
int main(int argc, char** argv )
{
IplImage *img, *filterMask = NULL;
CvAdaptiveSkinDetector filter(1, CvAdaptiveSkinDetector::MORPHING_METHOD_ERODE_DILATE);
ASDFrameSequencer *sequencer;
CvFont base_font;
char caption[2048], s[256], windowName[256];
long int clockTotal = 0, numFrames = 0;
std::clock_t clock;
if (argc < 4)
{
help(argv);
sequencer = new ASDFrameSequencerWebCam();
(dynamic_cast<ASDFrameSequencerWebCam*>(sequencer))->open(-1);
if (! sequencer->isOpen())
{
std::cout << std::endl << "Error: Cannot initialize the default Webcam" << std::endl << std::endl;
}
}
else
{
sequencer = new ASDFrameSequencerImageFile();
(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
}
std::sprintf(windowName, "%s", "Adaptive Skin Detection Algorithm for Video Sequences");
cvNamedWindow(windowName, CV_WINDOW_AUTOSIZE);
cvInitFont( &base_font, CV_FONT_VECTOR0, 0.5, 0.5);
// Usage:
// c:\>CvASDSample "C:\VideoSequences\sample1\right_view\temp_%05d.jpg" 0 1000
std::cout << "Press ESC to stop." << std::endl << std::endl;
while ((img = sequencer->getNextImage()) != 0)
{
numFrames++;
if (filterMask == NULL)
{
filterMask = cvCreateImage( cvSize(img->width, img->height), IPL_DEPTH_8U, 1);
}
clock = std::clock();
filter.process(img, filterMask); // DETECT SKIN
clockTotal += (std::clock() - clock);
displayBuffer(img, filterMask, 0, 255, 0);
sequencer->getFrameCaption(caption);
std::sprintf(s, "%s - %d x %d", caption, img->width, img->height);
putTextWithShadow(img, s, cvPoint(10, img->height-35), &base_font);
std::sprintf(s, "Average processing time per frame: %5.2fms", (double(clockTotal*1000/CLOCKS_PER_SEC))/numFrames);
putTextWithShadow(img, s, cvPoint(10, img->height-15), &base_font);
cvShowImage (windowName, img);
cvReleaseImage(&img);
if (cvWaitKey(1) == 27)
break;
}
sequencer->close();
delete sequencer;
cvReleaseImage(&filterMask);
cvDestroyWindow(windowName);
std::cout << "Finished, " << numFrames << " frames processed." << std::endl;
return 0;
}