今天有空在这里分享一下，opencvsharp人脸捕捉，需要附件xml训练文件及OpenCvSharp-4.0.0-x64文件。
private void CaptureCameraCallback() //detect face/objectxxxxxxxxxxxxxxxxxxxx
{
//var cap = new VideoCapture("video.mp4");
//var srcImage = new VideoCapture(0);
var srcImage = new Mat(@"face.jpg");
//Cv2.ImShow("Source", srcImage);
//Cv2.WaitKey(1); // do events
var grayImage = new Mat();
Cv2.CvtColor(srcImage, grayImage, ColorConversionCodes.BGRA2GRAY);
Cv2.EqualizeHist(grayImage, grayImage);
var cascade = new CascadeClassifier(@"haarcascade_frontalface_alt2.xml");
var nestedCascade = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
var faces = cascade.DetectMultiScale(
image: grayImage,
scaleFactor: 1.1,
minNeighbors: 2,
flags: HaarDetectionType.DoRoughSearch | HaarDetectionType.ScaleImage,
minSize: new OpenCvSharp.Size(30, 30)
);
Console.WriteLine("Detected faces: {0}", faces.Length);
var rnd = new Random();
var count = 1;
foreach (var faceRect in faces)
{
var detectedFaceImage = new Mat(srcImage, faceRect);
Cv2.ImShow(string.Format("Face {0}", count), detectedFaceImage);
Cv2.WaitKey(1); // do events
var color = Scalar.FromRgb(rnd.Next(0, 255), rnd.Next(0, 255), rnd.Next(0, 255));
Cv2.Rectangle(srcImage, faceRect, color, 3);
var detectedFaceGrayImage = new Mat();
Cv2.CvtColor(detectedFaceImage, detectedFaceGrayImage, ColorConversionCodes.BGRA2GRAY);
var nestedObjects = nestedCascade.DetectMultiScale(
image: detectedFaceGrayImage,
scaleFactor: 1.1,
minNeighbors: 2,
flags: HaarDetectionType.DoRoughSearch | HaarDetectionType.ScaleImage,
minSize: new OpenCvSharp.Size(30, 30)
);
Console.WriteLine("Nested Objects[{0}]: {1}", count, nestedObjects.Length);
foreach (var nestedObject in nestedObjects)
{
var center = new OpenCvSharp.Point
{
X = (int)(Math.Round(nestedObject.X + nestedObject.Width * 0.5, MidpointRounding.ToEven) + faceRect.Left),
Y = (int)(Math.Round(nestedObject.Y + nestedObject.Height * 0.5, MidpointRounding.ToEven) + faceRect.Top)
};
var radius = Math.Round((nestedObject.Width + nestedObject.Height) * 0.25, MidpointRounding.ToEven);
Cv2.Circle(srcImage, center, (int)radius, color, thickness: 3);
}
count++;
}
Cv2.ImShow("Haar Detection", srcImage);
Cv2.WaitKey(1); // do events
Cv2.WaitKey(0);
Cv2.DestroyAllWindows();
srcImage.Dispose();
}
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