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Commit 8cfba645 authored by Oscar Deniz Suarez's avatar Oscar Deniz Suarez
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Update samples/c/smiledetect.cpp 

- Changed to floating neighbor maximum mode
- Fixed some previous errors.
parent 379dcf87
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Showing with 33 additions and 69 deletions
samples/c/smiledetect.cpp
View file @ 8cfba645
......@@ -14,12 +14,12 @@ static void help()
cout << "\nThis program demonstrates the smile detector.\n"
"Usage:\n"
"./smiledetect [--cascade=<cascade_path> this is the frontal face classifier]\n"
" [--smile-cascade[=smile_cascade_path]]\n"
" [--scale=<image scale greater or equal to 1, try 1.3 for example. The larger the faster the processing>]\n"
" [--smile-cascade=[<smile_cascade_path>]]\n"
" [--scale=<image scale greater or equal to 1, try 2.0 for example. The larger the faster the processing>]\n"
" [--try-flip]\n"
" [filename|camera_index]\n\n"
" [video_filename|camera_index]\n\n"
"Example:\n"
"./smiledetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --smile-cascade=\"../../data/haarcascades/haarcascade_smile.xml\" --scale=1.3\n\n"
"./smiledetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --smile-cascade=\"../../data/haarcascades/haarcascade_smile.xml\" --scale=2.0\n\n"
"During execution:\n\tHit any key to quit.\n"
"\tUsing OpenCV version " << CV_VERSION << "\n" << endl;
}
......@@ -31,10 +31,6 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
string cascadeName = "../../data/haarcascades/haarcascade_frontalface_alt.xml";
string nestedCascadeName = "../../data/haarcascades/haarcascade_smile.xml";
// The number of detected neighbors depends on image size, these are for performing an approximate mapping to a maximum number of neighbors
const float coef1 = 0.3190;
const float coef2 = -48.7187;
int main( int argc, const char** argv )
{
......@@ -68,8 +64,6 @@ int main( int argc, const char** argv )
{
if( argv[i][nestedCascadeOpt.length()] == '=' )
nestedCascadeName.assign( argv[i] + nestedCascadeOpt.length() + 1 );
if( !nestedCascade.load( nestedCascadeName ) )
cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
}
else if( scaleOpt.compare( 0, scaleOptLen, argv[i], scaleOptLen ) == 0 )
{
......@@ -92,7 +86,13 @@ int main( int argc, const char** argv )
if( !cascade.load( cascadeName ) )
{
cerr << "ERROR: Could not load classifier cascade" << endl;
cerr << "ERROR: Could not load face cascade" << endl;
help();
return -1;
}
if( !nestedCascade.load( nestedCascadeName ) )
{
cerr << "ERROR: Could not load smile cascade" << endl;
help();
return -1;
}
......@@ -105,17 +105,8 @@ int main( int argc, const char** argv )
}
else if( inputName.size() )
{
image = imread( inputName, 1 );
if( image.empty() )
{
capture = cvCaptureFromAVI( inputName.c_str() );
if(!capture) cout << "Capture from AVI didn't work" << endl;
}
}
else
{
image = imread( "lena.jpg", 1 );
if(image.empty()) cout << "Couldn't read lena.jpg" << endl;
capture = cvCaptureFromAVI( inputName.c_str() );
if(!capture) cout << "Capture from AVI didn't work" << endl;
}
cvNamedWindow( "result", 1 );
......@@ -123,6 +114,8 @@ int main( int argc, const char** argv )
if( capture )
{
cout << "In capture ..." << endl;
cout << endl << "NOTE: Smile intensity will only be valid after a first smile has been detected" << endl;
for(;;)
{
IplImage* iplImg = cvQueryFrame( capture );
......@@ -147,43 +140,9 @@ _cleanup_:
}
else
{
cout << "In image read" << endl;
if( !image.empty() )
{
detectAndDraw( image, cascade, nestedCascade, scale, tryflip );
waitKey(0);
}
else if( !inputName.empty() )
{
/* assume it is a text file containing the
list of the image filenames to be processed - one per line */
FILE* f = fopen( inputName.c_str(), "rt" );
if( f )
{
char buf[1000+1];
while( fgets( buf, 1000, f ) )
{
int len = (int)strlen(buf), c;
while( len > 0 && isspace(buf[len-1]) )
len--;
buf[len] = '\0';
cout << "file " << buf << endl;
image = imread( buf, 1 );
if( !image.empty() )
{
detectAndDraw( image, cascade, nestedCascade, scale, tryflip );
c = waitKey(0);
if( c == 27 || c == 'q' || c == 'Q' )
break;
}
else
{
cerr << "Aw snap, couldn't read image " << buf << endl;
}
}
fclose(f);
}
}
cerr << "ERROR: Could not initiate capture" << endl;
help();
return -1;
}
cvDestroyWindow("result");
......@@ -206,8 +165,6 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
CV_RGB(255,0,255)} ;
Mat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );
const int max_neighbors = MAX(0, cvRound((float)coef1*smallImg.cols + coef2));
cvtColor( img, gray, CV_BGR2GRAY );
resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
equalizeHist( smallImg, smallImg );
......@@ -234,6 +191,7 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
faces.push_back(Rect(smallImg.cols - r->x - r->width, r->y, r->width, r->height));
}
}
for( vector<Rect>::iterator r = faces.begin(); r != faces.end(); r++, i++ )
{
Mat smallImgROI;
......@@ -254,8 +212,6 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
rectangle( img, cvPoint(cvRound(r->x*scale), cvRound(r->y*scale)),
cvPoint(cvRound((r->x + r->width-1)*scale), cvRound((r->y + r->height-1)*scale)),
color, 3, 8, 0);
if( nestedCascade.empty() )
continue;
const int half_height=cvRound((float)r->height/2);
r->y=r->y + half_height;
......@@ -270,13 +226,21 @@ void detectAndDraw( Mat& img, CascadeClassifier& cascade,
,
Size(30, 30) );
// Draw rectangle reflecting confidence
// The number of detected neighbors depends on image size (and also illumination, etc.). The
// following steps use a floating minimum and maximum of neighbors. Intensity thus estimated will be
//accurate only after a first smile has been displayed by the user.
const int smile_neighbors = nestedObjects.size();
cout << "Detected " << smile_neighbors << " smile neighbors" << endl;
const int rect_height = cvRound((float)img.rows * smile_neighbors / max_neighbors);
CvScalar col = CV_RGB((float)255 * smile_neighbors / max_neighbors, 0, 0);
static int max_neighbors=-1;
static int min_neighbors=-1;
if (min_neighbors == -1) min_neighbors = smile_neighbors;
max_neighbors = MAX(max_neighbors, smile_neighbors);
// Draw rectangle on the left side of the image reflecting smile intensity
float intensityZeroOne = ((float)smile_neighbors - min_neighbors) / (max_neighbors - min_neighbors + 1);
int rect_height = cvRound((float)img.rows * intensityZeroOne);
CvScalar col = CV_RGB((float)255 * intensityZeroOne, 0, 0);
rectangle(img, cvPoint(0, img.rows), cvPoint(img.cols/10, img.rows - rect_height), col, -1);
}
}
cv::imshow( "result", img );
cv::imshow( "result", img );
}
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