介紹
github地址：
https://github.com/cleardusk/3DDFA_V2
Introduction
This work extends 3DDFA, named 3DDFA_V2, titled Towards Fast, Accurate and Stable 3D Dense Face Alignment, accepted by ECCV 2020. The supplementary material is here. The gif above shows a webcam demo of the tracking result, in the scenario of my lab. This repo is the official implementation of 3DDFA_V2.
Compared to 3DDFA, 3DDFA_V2 achieves better performance and stability. Besides, 3DDFA_V2 incorporates the fast face detector FaceBoxes instead of Dlib. A simple 3D render written by c++ and cython is also included. This repo supports the onnxruntime, and the latency of regressing 3DMM parameters using the default backbone is about 1.35ms/image on CPU with a single image as input. If you are interested in this repo, just try it on this google colab! Welcome for valuable issues, PRs and discussions 😄
效果
模型資訊
Inputs
-------------------------
name：input
tensor：Float[-1, 3, 120, 120]
---------------------------------------------------------------
Outputs
-------------------------
name：camera_matrix
tensor：Float[-1, 3, 4]
name：landmarks
tensor：Float[-1, 68, 2]
---------------------------------------------------------------
計畫
VS2022
.net framework 4.8
OpenCvSharp 4.8
Microsoft.ML.OnnxRuntime 1.16.2
程式碼
using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Windows.Forms;
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;
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 Bitmap(image_path);
image = new Mat(image_path);
}
private void Form1_Load(object sender, EventArgs e)
{
}
private void button2_Click(object sender, EventArgs e)
{
if (image_path == "")
{
return;
}
textBox1.Text = "檢測中，請稍等……";
pictureBox2.Image = null;
Application.DoEvents();
image = new Mat(image_path);
Detect_Face detect_net = new Detect_Face(0.7f);
Face_Mesh mesh_net = new Face_Mesh("pose");//choices=["pose", "sparse"]
dt1 = DateTime.Now;
List<BoxInfo> bboxes = detect_net.detect(image);
foreach (var item in bboxes)
{
mesh_net.detect(image, item);
}
dt2 = DateTime.Now;
pictureBox2.Image = new Bitmap(image.ToMemoryStream());
textBox1.Text = "推理耗時:" + (dt2 - dt1).TotalMilliseconds + "ms";
}
private void pictureBox2_DoubleClick(object sender, EventArgs e)
{
Common.ShowNormalImg(pictureBox2.Image);
}
private void pictureBox1_DoubleClick(object sender, EventArgs e)
{
Common.ShowNormalImg(pictureBox1.Image);
}
}
}
