OpenCVSharp 使用 Yolo V3 模型进行视频目标检测和分类

首先下载 Yolo 训练好的模型：https://pjreddie.com/media/files/yolov3.weights

 共3个文件：yolov3.cfg，yolov3.weights，coco.names

using System.Collections.Generic;
using System.IO;
using System.Linq;
using OpenCvSharp;
using OpenCvSharp.Dnn;

namespace OpenCvSharpYolo3
{
    class Program
    {

        static string[] Labels;
        static void Main()
        {
            const string Cfg = @"h:\csharp\yolov3\yolov3.cfg";
            const string Weight = @"h:\csharp\yolov3\yolov3.weights";
            const string Names = @"h:\csharp\yolov3\coco.names";

            const float threshold = 0.5f;       //置信度阈值
            const float nmsThreshold = 0.3f;    //nms 阈值

            //读入标签
            Labels = File.ReadAllLines(Names).ToArray();

            string videofile = @"h:\csharp\videos\vtest.avi";

            var net = CvDnn.ReadNetFromDarknet(Cfg, Weight);