【官方框架地址】
https://github.com/opencv/opencv/blob/master/samples/dnn/face_detector/deploy.prototxt
采用的是官方caffe模型res10_300x300_ssd_iter_140000.caffemodel进行人脸检测
【算法原理】
使用caffe-ssd目标检测框架训练的caffe模型进行深度学习模型检测
【效果】
【实现部分代码】
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Diagnostics;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using OpenCvSharp;
namespace FIRC
{
public partial class Form1 : Form
{
Mat src = new Mat();
FaceDetector fd = new FaceDetector();
public Form1()
{
InitializeComponent();
}
private void button1_Click(object sender, EventArgs e)
{
OpenFileDialog openFileDialog = new OpenFileDialog();
openFileDialog.Filter = "图文件(*.*)|*.jpg;*.png;*.jpeg;*.bmp";
openFileDialog.RestoreDirectory = true;
openFileDialog.Multiselect = false;
if (openFileDialog.ShowDialog() == DialogResult.OK)
{
src = Cv2.ImRead(openFileDialog.FileName);
pictureBox1.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(src);
}
}
private void button2_Click(object sender, EventArgs e)
{
if(pictureBox1.Image==null)
{
return;
}
var result = fd.Inference(src);
var resultMat = fd.DrawImage(src, result);
pictureBox2.Image= OpenCvSharp.Extensions.BitmapConverter.ToBitmap(resultMat); //Mat转Bitmap
}
private void Form1_Load(object sender, EventArgs e)
{
}
private void button3_Click(object sender, EventArgs e)
{
}
}
}
【源码下载】
https://download.csdn.net/download/FL1623863129/88705587
【测试环境】
vs2019
netframework4.7.2
opencvsharp4.8.0