OpenCV 4.10.0-dev
Open Source Computer Vision
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samples/cpp/grabcut.cpp

An example using the GrabCut algorithm

#include <iostream>
using namespace std;
using namespace cv;
static void help(char** argv)
{
cout << "\nThis program demonstrates GrabCut segmentation -- select an object in a region\n"
"and then grabcut will attempt to segment it out.\n"
"Call:\n"
<< argv[0] << " <image_name>\n"
"\nSelect a rectangular area around the object you want to segment\n" <<
"\nHot keys: \n"
"\tESC - quit the program\n"
"\tr - restore the original image\n"
"\tn - next iteration\n"
"\n"
"\tleft mouse button - set rectangle\n"
"\n"
"\tCTRL+left mouse button - set GC_BGD pixels\n"
"\tSHIFT+left mouse button - set GC_FGD pixels\n"
"\n"
"\tCTRL+right mouse button - set GC_PR_BGD pixels\n"
"\tSHIFT+right mouse button - set GC_PR_FGD pixels\n" << endl;
}
const Scalar RED = Scalar(0,0,255);
const Scalar PINK = Scalar(230,130,255);
const Scalar BLUE = Scalar(255,0,0);
const Scalar LIGHTBLUE = Scalar(255,255,160);
const Scalar GREEN = Scalar(0,255,0);
const int BGD_KEY = EVENT_FLAG_CTRLKEY;
const int FGD_KEY = EVENT_FLAG_SHIFTKEY;
static void getBinMask( const Mat& comMask, Mat& binMask )
{
if( comMask.empty() || comMask.type()!=CV_8UC1 )
CV_Error( Error::StsBadArg, "comMask is empty or has incorrect type (not CV_8UC1)" );
if( binMask.empty() || binMask.rows!=comMask.rows || binMask.cols!=comMask.cols )
binMask.create( comMask.size(), CV_8UC1 );
binMask = comMask & 1;
}
class GCApplication
{
public:
enum{ NOT_SET = 0, IN_PROCESS = 1, SET = 2 };
static const int radius = 2;
static const int thickness = -1;
void reset();
void setImageAndWinName( const Mat& _image, const string& _winName );
void showImage() const;
void mouseClick( int event, int x, int y, int flags, void* param );
int nextIter();
int getIterCount() const { return iterCount; }
private:
void setRectInMask();
void setLblsInMask( int flags, Point p, bool isPr );
const string* winName;
const Mat* image;
Mat bgdModel, fgdModel;
uchar rectState, lblsState, prLblsState;
bool isInitialized;
Rect rect;
vector<Point> fgdPxls, bgdPxls, prFgdPxls, prBgdPxls;
int iterCount;
};
void GCApplication::reset()
{
if( !mask.empty() )
mask.setTo(Scalar::all(GC_BGD));
bgdPxls.clear(); fgdPxls.clear();
prBgdPxls.clear(); prFgdPxls.clear();
isInitialized = false;
rectState = NOT_SET;
lblsState = NOT_SET;
prLblsState = NOT_SET;
iterCount = 0;
}
void GCApplication::setImageAndWinName( const Mat& _image, const string& _winName )
{
if( _image.empty() || _winName.empty() )
return;
image = &_image;
winName = &_winName;
mask.create( image->size(), CV_8UC1);
reset();
}
void GCApplication::showImage() const
{
if( image->empty() || winName->empty() )
return;
Mat res;
Mat binMask;
image->copyTo( res );
if( isInitialized ){
getBinMask( mask, binMask);
Mat black (binMask.rows, binMask.cols, CV_8UC3, cv::Scalar(0,0,0));
black.setTo(Scalar::all(255), binMask);
addWeighted(black, 0.5, res, 0.5, 0.0, res);
}
vector<Point>::const_iterator it;
for( it = bgdPxls.begin(); it != bgdPxls.end(); ++it )
circle( res, *it, radius, BLUE, thickness );
for( it = fgdPxls.begin(); it != fgdPxls.end(); ++it )
circle( res, *it, radius, RED, thickness );
for( it = prBgdPxls.begin(); it != prBgdPxls.end(); ++it )
circle( res, *it, radius, LIGHTBLUE, thickness );
for( it = prFgdPxls.begin(); it != prFgdPxls.end(); ++it )
circle( res, *it, radius, PINK, thickness );
if( rectState == IN_PROCESS || rectState == SET )
rectangle( res, Point( rect.x, rect.y ), Point(rect.x + rect.width, rect.y + rect.height ), GREEN, 2);
imshow( *winName, res );
}
void GCApplication::setRectInMask()
{
CV_Assert( !mask.empty() );
mask.setTo( GC_BGD );
rect.x = max(0, rect.x);
rect.y = max(0, rect.y);
rect.width = min(rect.width, image->cols-rect.x);
rect.height = min(rect.height, image->rows-rect.y);
(mask(rect)).setTo( Scalar(GC_PR_FGD) );
}
void GCApplication::setLblsInMask( int flags, Point p, bool isPr )
{
vector<Point> *bpxls, *fpxls;
uchar bvalue, fvalue;
if( !isPr )
{
bpxls = &bgdPxls;
fpxls = &fgdPxls;
bvalue = GC_BGD;
fvalue = GC_FGD;
}
else
{
bpxls = &prBgdPxls;
fpxls = &prFgdPxls;
bvalue = GC_PR_BGD;
fvalue = GC_PR_FGD;
}
if( flags & BGD_KEY )
{
bpxls->push_back(p);
circle( mask, p, radius, bvalue, thickness );
}
if( flags & FGD_KEY )
{
fpxls->push_back(p);
circle( mask, p, radius, fvalue, thickness );
}
}
void GCApplication::mouseClick( int event, int x, int y, int flags, void* )
{
// TODO add bad args check
switch( event )
{
case EVENT_LBUTTONDOWN: // set rect or GC_BGD(GC_FGD) labels
{
bool isb = (flags & BGD_KEY) != 0,
isf = (flags & FGD_KEY) != 0;
if( rectState == NOT_SET && !isb && !isf )
{
rectState = IN_PROCESS;
rect = Rect( x, y, 1, 1 );
}
if ( (isb || isf) && rectState == SET )
lblsState = IN_PROCESS;
}
break;
case EVENT_RBUTTONDOWN: // set GC_PR_BGD(GC_PR_FGD) labels
{
bool isb = (flags & BGD_KEY) != 0,
isf = (flags & FGD_KEY) != 0;
if ( (isb || isf) && rectState == SET )
prLblsState = IN_PROCESS;
}
break;
if( rectState == IN_PROCESS )
{
if(rect.x == x || rect.y == y){
rectState = NOT_SET;
}
else{
rect = Rect( Point(rect.x, rect.y), Point(x,y) );
rectState = SET;
setRectInMask();
CV_Assert( bgdPxls.empty() && fgdPxls.empty() && prBgdPxls.empty() && prFgdPxls.empty() );
}
}
if( lblsState == IN_PROCESS )
{
setLblsInMask(flags, Point(x,y), false);
lblsState = SET;
nextIter();
}
else{
if(rectState == SET){
nextIter();
}
}
break;
if( prLblsState == IN_PROCESS )
{
setLblsInMask(flags, Point(x,y), true);
prLblsState = SET;
}
if(rectState == SET){
nextIter();
}
break;
if( rectState == IN_PROCESS )
{
rect = Rect( Point(rect.x, rect.y), Point(x,y) );
CV_Assert( bgdPxls.empty() && fgdPxls.empty() && prBgdPxls.empty() && prFgdPxls.empty() );
}
else if( lblsState == IN_PROCESS )
{
setLblsInMask(flags, Point(x,y), false);
}
else if( prLblsState == IN_PROCESS )
{
setLblsInMask(flags, Point(x,y), true);
}
break;
}
}
int GCApplication::nextIter()
{
if( isInitialized )
grabCut( *image, mask, rect, bgdModel, fgdModel, 1 );
else
{
if( rectState != SET )
return iterCount;
if( lblsState == SET || prLblsState == SET )
grabCut( *image, mask, rect, bgdModel, fgdModel, 1, GC_INIT_WITH_MASK );
else
grabCut( *image, mask, rect, bgdModel, fgdModel, 1, GC_INIT_WITH_RECT );
isInitialized = true;
}
iterCount++;
bgdPxls.clear(); fgdPxls.clear();
prBgdPxls.clear(); prFgdPxls.clear();
return iterCount;
}
GCApplication gcapp;
static void on_mouse( int event, int x, int y, int flags, void* param )
{
gcapp.mouseClick( event, x, y, flags, param );
}
int main( int argc, char** argv )
{
cv::CommandLineParser parser(argc, argv, "{@input| messi5.jpg |}");
help(argv);
string filename = parser.get<string>("@input");
if( filename.empty() )
{
cout << "\nDurn, empty filename" << endl;
return 1;
}
Mat image = imread(samples::findFile(filename), IMREAD_COLOR);
if( image.empty() )
{
cout << "\n Durn, couldn't read image filename " << filename << endl;
return 1;
}
const string winName = "image";
namedWindow( winName, WINDOW_AUTOSIZE );
setMouseCallback( winName, on_mouse, 0 );
gcapp.setImageAndWinName( image, winName );
gcapp.showImage();
for(;;)
{
char c = (char)waitKey(0);
switch( c )
{
case '\x1b':
cout << "Exiting ..." << endl;
goto exit_main;
case 'r':
cout << endl;
gcapp.reset();
gcapp.showImage();
break;
case 'n':
int iterCount = gcapp.getIterCount();
cout << "<" << iterCount << "... ";
int newIterCount = gcapp.nextIter();
if( newIterCount > iterCount )
{
gcapp.showImage();
cout << iterCount << ">" << endl;
}
else
cout << "rect must be determined>" << endl;
break;
}
}
exit_main:
destroyWindow( winName );
return 0;
}
Designed for command line parsing.
Definition utility.hpp:890
n-dimensional dense array class
Definition mat.hpp:829
MatSize size
Definition mat.hpp:2177
void copyTo(OutputArray m) const
Copies the matrix to another one.
void create(int rows, int cols, int type)
Allocates new array data if needed.
int cols
Definition mat.hpp:2155
bool empty() const
Returns true if the array has no elements.
int rows
the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions
Definition mat.hpp:2155
int type() const
Returns the type of a matrix element.
Template class for 2D rectangles.
Definition types.hpp:444
void addWeighted(InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1)
Calculates the weighted sum of two arrays.
unsigned char uchar
Definition interface.h:51
#define CV_8UC1
Definition interface.h:88
#define CV_8UC3
Definition interface.h:90
#define CV_Error(code, msg)
Call the error handler.
Definition base.hpp:335
#define CV_Assert(expr)
Checks a condition at runtime and throws exception if it fails.
Definition base.hpp:359
@ circle
Definition gr_skig.hpp:62
GMat mask(const GMat &src, const GMat &mask)
Applies a mask to a matrix.
@ EVENT_LBUTTONUP
indicates that left mouse button is released.
Definition highgui.hpp:171
@ EVENT_MOUSEMOVE
indicates that the mouse pointer has moved over the window.
Definition highgui.hpp:167
@ EVENT_RBUTTONDOWN
indicates that the right mouse button is pressed.
Definition highgui.hpp:169
@ EVENT_RBUTTONUP
indicates that right mouse button is released.
Definition highgui.hpp:172
@ EVENT_LBUTTONDOWN
indicates that the left mouse button is pressed.
Definition highgui.hpp:168
void imshow(const String &winname, InputArray mat)
Displays an image in the specified window.
int waitKey(int delay=0)
Waits for a pressed key.
void namedWindow(const String &winname, int flags=WINDOW_AUTOSIZE)
Creates a window.
void destroyWindow(const String &winname)
Destroys the specified window.
void setMouseCallback(const String &winname, MouseCallback onMouse, void *userdata=0)
Sets mouse handler for the specified window.
CV_EXPORTS_W Mat imread(const String &filename, int flags=IMREAD_COLOR_BGR)
Loads an image from a file.
void rectangle(InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
Draws a simple, thick, or filled up-right rectangle.
@ GC_FGD
an obvious foreground (object) pixel
Definition imgproc.hpp:351
@ GC_BGD
an obvious background pixels
Definition imgproc.hpp:350
@ GC_PR_FGD
a possible foreground pixel
Definition imgproc.hpp:353
@ GC_PR_BGD
a possible background pixel
Definition imgproc.hpp:352
void grabCut(InputArray img, InputOutputArray mask, Rect rect, InputOutputArray bgdModel, InputOutputArray fgdModel, int iterCount, int mode=GC_EVAL)
Runs the GrabCut algorithm.
int main(int argc, char *argv[])
Definition highgui_qt.cpp:3
Definition core.hpp:107
void showImage(cv::InputArray img, const CallMetaData &data, const char *description, const char *view)
STL namespace.