效果

项目

部分代码

using OpenCvSharp;
using OpenCvSharp.Extensions;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;namespace OpenVinoSharp_PP_TinyPose人体姿态识别
{public partial class Form1 : Form{public Form1(){InitializeComponent();}string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";string image_path = "";String startupPath;DateTime dt1 = DateTime.Now;DateTime dt2 = DateTime.Now;// 行人检测模型string mode_path_det;// 关键点检测模型string mode_path_pose;// 设备名称string device_name;//行人区域检测PicoDet pico_det;//人体姿势检测PPTinyPose tiny_pose;Mat image;private void button2_Click(object sender, EventArgs e){OpenFileDialog ofd = new OpenFileDialog();ofd.Filter = fileFilter;if (ofd.ShowDialog() != DialogResult.OK) return;pictureBox1.Image = null;image_path = ofd.FileName;pictureBox1.Image = new Bitmap(image_path);textBox1.Text = "";}private void Form1_Load(object sender, EventArgs e){startupPath = Application.StartupPath;//推理模型路径中不能不含中文，否则会报错mode_path_det = Application.StartupPath + @"\TinyPoseModel\picodet_v2_s_320_pedestrian\ir\picodet_s_320_lcnet_pedestrian.xml";mode_path_pose = Application.StartupPath + @"\TinyPoseModel\tinypose_256_192\tinypose_256_192.onnx";// 设备名称device_name = "CPU";//行人区域检测pico_det = new PicoDet(mode_path_det, device_name);//人体姿势检测tiny_pose = new PPTinyPose(mode_path_pose, device_name);}private void button1_Click(object sender, EventArgs e){tiny_pose_image();}public void tiny_pose_image(){if (image_path == ""){return;}image = Cv2.ImRead(image_path);OpenCvSharp.Size size_det = new OpenCvSharp.Size(320, 320);pico_det.set_shape(size_det, 2125);dt1 = DateTime.Now;List<Rect> result_rect = pico_det.predict(image);//人体姿势检测OpenCvSharp.Size size_pose = new OpenCvSharp.Size(256, 192);tiny_pose.set_shape(size_pose);List<Rect> point_rects;List<Mat> person_rois = tiny_pose.get_point_roi(image, result_rect, out point_rects);for (int p = 0; p < person_rois.Count; p++){// 关键点识别float[,] person_point = tiny_pose.predict(person_rois[p]);tiny_pose.draw_poses(person_point, point_rects[p], ref image);}dt2 = DateTime.Now;for (int i = 0; i < result_rect.Count; i++){Cv2.Rectangle(image, result_rect[i], new Scalar(255, 0, 0), 2);}pictureBox2.Image = BitmapConverter.ToBitmap(image);textBox1.Text = "耗时:" + (dt2 - dt1).TotalMilliseconds + "ms";}}
}

exe程序下载

完整Demo下载