static void Main(string[] args)
{
// Read image in
var img = Dlib.LoadImage <RgbPixel>(imgFilePath);
// Let's detect faces and draw rectangles around them
FaceDetector faceDetector = new FaceDetector(facialLandmarksSerializedPredictor);
Rectangle[] facesBoundingBoxes = faceDetector.DetectFacesBoundingBoxes(img);
foreach (var bb in facesBoundingBoxes)
{
Dlib.DrawRectangle(img, bb, color: new RgbPixel(0, 0, 255), thickness: 3);
}
// Draw eyes bounding box for subject (i.e., largest) face
if (facesBoundingBoxes.Length > 0)
{
// Example code if you wish to do this only on the largest face
/*Rectangle subjectFaceBoundingBox = new Rectangle(0, 0);
* foreach (var bb in facesBoundingBoxes)
* {
* if (bb.Area > subjectFaceBoundingBox.Area)
* {
* subjectFaceBoundingBox = bb;
* }
* }*/
// Here we do it on all faces
foreach (var subjectFaceBoundingBox in facesBoundingBoxes)
{
// Next, obtain facial landmarks
var landmarks = faceDetector.DetectFacialLandmarks(img, subjectFaceBoundingBox);
// We also draw them
foreach (Point p in landmarks)
{
Dlib.DrawRectangle(img, new Rectangle(p), color: new RgbPixel(255, 0, 0), thickness: 3);
}
// Now draw bounding box around the eyes
var topLeft = new Point(landmarks[FacialLandmarks.RIGHT_EYEBROW].X, landmarks[FacialLandmarks.RIGHT_EYEBROW].Y);
var bottomRight = new Point(landmarks[FacialLandmarks.LEFT_EYEBROW].X, landmarks[FacialLandmarks.UPPER_NOSE].Y);
var eyesBoundingBox = new Rectangle(topLeft, bottomRight);
Dlib.DrawRectangle(img, eyesBoundingBox, color: new RgbPixel(0, 255, 0), thickness: 3);
}
}
// Create output file path (for later)
string outFilePath;
var tmpStrArray = imgFilePath.Split('/');
var extension = tmpStrArray[tmpStrArray.Length - 1].Split('.')[1];
outFilePath = String.Join('/', tmpStrArray.SkipLast(1).ToArray()) + '/' +
tmpStrArray[tmpStrArray.Length - 1].Replace("." + extension, "_out." + extension);
Console.WriteLine(outFilePath);
// Write img
faceDetector.WriteImageToFilePath(img, outFilePath);
}
