C# Onnx PP-Vehicle 车辆分析（包含：车辆检测，识别车型和车辆颜色）

目录

效果

模型信息

mot_ppyoloe_s_36e_ppvehicle.onnx 

vehicle_attribute_model.onnx

项目

代码

下载

其他

C# Onnx PP-Vehicle 车辆分析（包含：车辆检测，识别车型和车辆颜色）

效果

模型信息

mot_ppyoloe_s_36e_ppvehicle.onnx 

Inputs
-------------------------
name：image
tensor：Float[-1, 3, 640, 640]
name：scale_factor
tensor：Float[-1, 2]
---------------------------------------------------------------

Outputs
-------------------------
name：multiclass_nms3_0.tmp_0
tensor：Float[-1, 6]
name：multiclass_nms3_0.tmp_2
tensor：Int32[1]
---------------------------------------------------------------

vehicle_attribute_model.onnx

Inputs
-------------------------
name：x
tensor：Float[-1, 3, 192, 256]
---------------------------------------------------------------

Outputs
-------------------------
name：sigmoid_2.tmp_0
tensor：Float[-1, 19]
---------------------------------------------------------------

项目

VS2022

.net framework 4.8

OpenCvSharp 4.8

Microsoft.ML.OnnxRuntime 1.16.2

代码

using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Windows.Forms;
using System.Drawing;
using System.Text;
 
namespace Onnx_Demo
{
    public partial class frmMain : Form
    {
        public frmMain()
        {
            InitializeComponent();
        }
 
        string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
        string image_path = "";
 
        DateTime dt1 = DateTime.Now;
        DateTime dt2 = DateTime.Now;
 
        Mat image;
 
        PP_YOLOE pp_yoloe;
        VehicleAttr vehicleAttr;
 
        StringBuilder sb = new StringBuilder();
 
        private void button1_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = fileFilter;
            if (ofd.ShowDialog() != DialogResult.OK) return;
 
            pictureBox1.Image = null;
            pictureBox2.Image = null;
            textBox1.Text = "";
 
            image_path = ofd.FileName;
            pictureBox1.Image = new System.Drawing.Bitmap(image_path);
            image = new Mat(image_path);
        }
 
        private void Form1_Load(object sender, EventArgs e)
        {
            pp_yoloe = new PP_YOLOE("model/mot_ppyoloe_s_36e_ppvehicle.onnx", 0.6f);
 
            vehicleAttr = new VehicleAttr("model/vehicle_attribute_model.onnx");
 
            image_path = "test_img/1.jpg";
            pictureBox1.Image = new Bitmap(image_path);
 
        }
 
        private unsafe void button2_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }
            textBox1.Text = "检测中，请稍等……";
            pictureBox2.Image = null;
            sb.Clear();
            System.Windows.Forms.Application.DoEvents();
 
            image = new Mat(image_path);
 
            dt1 = DateTime.Now;
            List<BoxInfo> ltBoxInfo = pp_yoloe.Detect(image);
            dt2 = DateTime.Now;
 
            Mat result_image = image.Clone();
            //pp_yoloe.DrawPred(result_image, ltBoxInfo);
 
            sb.AppendLine("耗时:" + (dt2 - dt1).TotalMilliseconds + "ms");
            sb.AppendLine("------------------------------");
 
            for (int n = 0; n < ltBoxInfo.Count; n++)
            {
 
                Rect rect = new Rect();
                rect.X = (int)ltBoxInfo[n].xmin;
                rect.Y = (int)ltBoxInfo[n].ymin;
                rect.Width = (int)(ltBoxInfo[n].xmax - ltBoxInfo[n].xmin);
                rect.Height = (int)(ltBoxInfo[n].ymax - ltBoxInfo[n].ymin);
                Mat crop_img = new Mat(image, rect);
 
                string color_res_str = "color:";
                string type_res_str = "type:";
 
                vehicleAttr.Detect(crop_img, out color_res_str, out type_res_str);
 
                Cv2.Rectangle(result_image, new OpenCvSharp.Point(ltBoxInfo[n].xmin, ltBoxInfo[n].ymin), new OpenCvSharp.Point(ltBoxInfo[n].xmax, ltBoxInfo[n].ymax), new Scalar(0, 0, 255), 2);
                Cv2.PutText(result_image
                    , type_res_str + "," + color_res_str
                    , new OpenCvSharp.Point(ltBoxInfo[n].xmin, ltBoxInfo[n].ymin - 10)
                    , HersheyFonts.HersheySimplex
                    , 1
                    , new Scalar(0, 255, 0)
                    , 2);
 
                sb.AppendLine("vehicle:" + ltBoxInfo[n].score.ToString("0.00") + " " + type_res_str + "," + color_res_str);
            }
 
 
            if (pictureBox2.Image != null)
            {
                pictureBox2.Image.Dispose();
            }
 
            pictureBox2.Image = new System.Drawing.Bitmap(result_image.ToMemoryStream());
            textBox1.Text = sb.ToString();
        }
 
        private void pictureBox2_DoubleClick(object sender, EventArgs e)
        {
            Common.ShowNormalImg(pictureBox2.Image);
        }
 
        private void pictureBox1_DoubleClick(object sender, EventArgs e)
        {
            Common.ShowNormalImg(pictureBox1.Image);
        }
    }
}

下载

源码下载

其他

C# PaddleOCR 车牌识别参考 https://lw112190.blog.csdn.net/article/details/131010997