public static void Run()
{
IImage image;
Bitmap bmpImg;
Bitmap croppedBitmap;
string uniqueImgPath;
string folderImgSource = @"testImages/SourceImg";
string folderImgFaces = @"testImages/GeneratedFaces";
//Read all files in the source image folder
var sourceImgFiles = Directory.GetFiles(folderImgSource, "*.*", SearchOption.AllDirectories); //List<string> imgFiles = new List<string>();
foreach (string fileName in sourceImgFiles)
{
// convert source image to UMat format (an array class)
image = new UMat(fileName, ImreadModes.Color);
List <Rectangle> faces = new List <Rectangle>();
// call FindFace class to find faces in source imgs
FindFace.FindFaceRegions(image, "haarcascade_frontalface_default.xml", faces);
// Loop over every face found
foreach (Rectangle face in faces)
{
// the rectangle is drawn around the detected face
CvInvoke.Rectangle(image, face, new Bgr(Color.White).MCvScalar, 3);
// Source image converted to bitmap
bmpImg = image.Bitmap;
// a call to cropBitmap function, input: source and rectangle
croppedBitmap = cropBitmap(bmpImg, face);
// cropped bitmap converted to image
Image <Bgr, Byte> croppedImg = new Image <Bgr, Byte>(croppedBitmap);
// display image for testing
// CvInvoke.Imshow("Cropped Face Image", croppedImg);
// generates unique name for the cropped face image
var uniqueImgName = string.Format("/{0}.bmp", Guid.NewGuid());
// establishes file path where to save the cropped face image
uniqueImgPath = folderImgFaces + uniqueImgName;
// saves the cropped face image to a specific directory
croppedImg.Save(uniqueImgPath);
}
//display image for testing
// using (InputArray iaImage = image.GetInputArray())
// ImageViewer.Show(image, String.Format("Recognized Original"));
}
}
public static void processCropImg(string imgName)
{
IImage image;
Bitmap bmpImg;
Bitmap croppedBitmap;
string uniqueImgPath = @"testImages/ShowFaces/main.bmp";
string fileName = imgName;
string processThisImgPath = @"testImages/ShowFaces/main_resized.bmp";
int maxHeight = 80;
int maxWidth = 80;
// convert source image to UMat format (an array class)
image = new UMat(fileName, ImreadModes.Color);
List <Rectangle> faces = new List <Rectangle>();
// call FindFace class to find faces in source imgs
FindFace.FindFaceRegions(image, "haarcascade_frontalface_default.xml", faces);
// Loop over every face found
foreach (Rectangle face in faces)
{
// the rectangle is drawn around the detected face
CvInvoke.Rectangle(image, face, new Bgr(Color.White).MCvScalar, 3);
// Source image converted to bitmap
bmpImg = image.Bitmap;
// a call to cropBitmap function, input: source and rectangle
croppedBitmap = cropBitmap(bmpImg, face);
// cropped bitmap converted to image
Image <Bgr, Byte> croppedImg = new Image <Bgr, Byte>(croppedBitmap);
// saves the cropped face image to a specific directory
croppedImg.Save(uniqueImgPath);
// calls the resize function
resizeImage(croppedBitmap, maxHeight, maxWidth);
// calls for processing functions
processImage(processThisImgPath);
}
}