C＃_OpenCV使用相机

参考:C#使用OpenCVhttps://blog.csdn.net/sinat_37281674/article/details/119987327

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测试代码：

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

using OpenCvSharp;   //为了使用opencv
using Point = OpenCvSharp.Point;   //为了确定我们使用的point是opencv的而不是draw的

using DVPCameraType;//相机SDK


namespace OpenCvSharpTest
{
    class Program
    {
        public static IntPtr m_ptr = new IntPtr();
        private static DVPCamera.dvpStreamCallback _proc;
        private static Mat srcImage;

        /*视频流回调函数*/
        public static int _dvpStreamCallback(uint handle, dvpStreamEvent _event, IntPtr pContext, ref dvpFrame refFrame, IntPtr pBuffer)
        {
            //相机帧数据转成OpenCV的Mat图像
            srcImage = new Mat(refFrame.iHeight, refFrame.iWidth, MatType.CV_8UC3, pBuffer);//彩色三通道图像使用CV_8UC3格式，黑白单通道使用CV_8UC1格式
            Cv2.ImShow("Camera", srcImage);
            Cv2.WaitKey(1);
            return 0;
        }

        static void Main(string[] args)
        {
            dvpStatus status;//相机状态
            uint m_handle = 0;//相机句柄
            uint count = 0;//相机数量

            status = DVPCamera.dvpRefresh(ref count);//刷新相机数量
            status = DVPCamera.dvpOpen(0, dvpOpenMode.OPEN_NORMAL, ref m_handle);//打开相机

            //注册视频流回调函数
            _proc = _dvpStreamCallback;
            status = DVPCamera.dvpRegisterStreamCallback(m_handle, _proc, dvpStreamEvent.STREAM_EVENT_PROCESSED, m_ptr);

            status = DVPCamera.dvpStart(m_handle);//启动相机

            while (true)
            {
            }
        }
    }
}

运行：