void PreProcess( IplImage* src, IplImage** dest )
{
if ( *dest )
cvReleaseImage(&*dest);
try
{
FaceDetector* fd = new FaceDetector(src, false);
fd->Detect(true);
if ( !fd->GetFaceVec().empty() )
{
// get the face from the face detector
IplImage* face = fd->GetFaceVec()[0];
int width = 100;
int height = 100;
*dest = cvCreateImage(cvSize(width, height), src->depth, 1);
if ( !*dest )
throw std::string("PreProcess could not create dest image");
if ( src->nChannels != 1 )
ConvertToGreyScale(face, face);
Resize(face, *dest);
// do histogram equalization on the found face
cvEqualizeHist(*dest, *dest);
}
else
{
throw std::string("FaceDetector could not find face");
}
}
catch ( ... )
{
throw;
}
}
int main(){
clock_t start,finish;
FaceDetector faceDetector;
faceDetector.LoadTrainingParams("npd_model_1.mat");
string imgPath = "1.jpg";
Mat img = imread(imgPath);
imshow("org",img);
IplImage* img_1 ;
img_1 = &IplImage(img);
start = clock();
faceDetector.Detect(img_1);
finish = clock();
double totaltime=(double)(finish-start)/CLOCKS_PER_SEC;
cout<<"Time elapsed:"<<totaltime<<endl;
Mat rst = Mat(img_1);
imshow("rst",rst);
waitKey(0);
return 0;
}
/*
Function: DetectAndPreProcess
Purpose: Given a file and a name, try to find the face in the image (largest face)
Save this file as the name to disk
Notes:
Throws std::string if somthing goes wrong
Returns: true if face found and data saved, false if no face found
*/
bool DetectAndPreProcess(const char *image, const char* name)
{
IplImage* faceImage = NULL;
bool bRes = false;
// try to open the given file containing the face
// the one indicates that we assume the image is color
faceImage = cvLoadImage(image,1);
if ( image )
{
try
{
FaceDetector* fd = new FaceDetector(faceImage, true);
// find the largest face in the image
fd->Detect(true);
IplImage *tempFace;
// did we find the face?
if ( !fd->GetFaceVec().empty() )
{
// get the face from the face detector
IplImage* face = fd->GetFaceVec()[0];
// now perform the rest of the preprocessing on the face
tempFace = cvCreateImage(cvSize(face->width, face->height), face->depth, 1);
ConvertToGreyScale(face, tempFace);
Resize(face, tempFace);
// do histogram equalization on the found face
cvEqualizeHist(tempFace, tempFace);
// try to save it to disk
if ( !cvSaveImage( name, tempFace ) )
{
std::string err;
err = "Error: DetectAndPreProcess could not save ";
err += image;
err += " as ";
err += name;
throw err;
}
bRes = true;
}
delete fd;
}
catch (...)
{
throw;
}
}
else
{
// could not open image
std::string err;
err = "Error: DetectAndPreProcess could not open ";
err += image;
throw err;
}
return bRes;
}
