How is OpenCvSharp used in C#?

OpenCVSharp can be used in C# to achieve image processing and computer vision-related functions. Here are some common usage examples:

1. Loading and displaying images: By utilizing the classes and methods in the OpenCVSharp library, you can load image files and display them in a window.

using OpenCvSharp;

class Program
{
    static void Main()
    {
        Mat image = Cv2.ImRead("image.jpg", ImreadModes.Color);
        Cv2.ImShow("Image", image);
        Cv2.WaitKey(0);
    }
}

1. Image processing: OpenCVSharp offers a variety of image processing functions, such as filtering, edge detection, and image transformation.

using OpenCvSharp;

class Program
{
    static void Main()
    {
        Mat image = Cv2.ImRead("image.jpg", ImreadModes.Color);
        
        // 边缘检测
        Mat edges = new Mat();
        Cv2.CvtColor(image, edges, ColorConversionCodes.BGR2GRAY);
        Cv2.Canny(edges, edges, 100, 200);
        
        // 显示边缘图像
        Cv2.ImShow("Edges", edges);
        Cv2.WaitKey(0);
    }
}

1. Object detection: OpenCVSharp also supports some object detection algorithms, such as Haar feature classifiers and facial detection.

using OpenCvSharp;

class Program
{
    static void Main()
    {
        CascadeClassifier classifier = new CascadeClassifier("haarcascade_frontalface_alt.xml");
        Mat image = Cv2.ImRead("face.jpg", ImreadModes.Gray);

        // 人脸检测
        Rect[] faces = classifier.DetectMultiScale(image);

        // 绘制人脸框
        foreach (Rect face in faces)
        {
            Cv2.Rectangle(image, face, Scalar.Red, 2);
        }

        // 显示检测结果
        Cv2.ImShow("Face Detection", image);
        Cv2.WaitKey(0);
    }
}

Above are some basic usages of OpenCVSharp, developers can further explore more features and usages according to their needs.