• C#版Facefusion ，换脸器和增强器

     C#版Facefusion ，换脸器和增强器

    目录

    说明

    效果

    项目

    调用代码 

    下载

    说明

    Facefusion是一款最新的开源AI视频/图片换脸项目。是原来ROOP的项目的延续。项目官方介绍只有一句话，下一代换脸器和增强器。

    代码实现参考

    https://github.com/facefusion/facefusion

    https://github.com/hpc203/facefusion-onnxrun

    效果

    项目

    调用代码 

    using OpenCvSharp;
    using OpenCvSharp.Extensions;
    using System;
    using System.Collections.Generic;
    using System.Drawing;
    using System.Windows.Forms;

    namespace FaceFusionSharp
    {
        public partial class Form1 : Form
        {
            public Form1()
            {
                InitializeComponent();
            }

            string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";

            string startupPath = "";

            string source_path = "";
            string target_path = "";

            Yolov8Face detect_face;
            Face68Landmarks detect_68landmarks;
            FaceEmbdding face_embedding;
            SwapFace swap_face;
            FaceEnhance enhance_face;

            private void button2_Click(object sender, EventArgs e)
            {
                OpenFileDialog ofd = new OpenFileDialog();
                ofd.Filter = fileFilter;
                if (ofd.ShowDialog() != DialogResult.OK) return;

                pictureBox1.Image = null;

                source_path = ofd.FileName;
                pictureBox1.Image = new Bitmap(source_path);
            }

            private void button3_Click(object sender, EventArgs e)
            {
                OpenFileDialog ofd = new OpenFileDialog();
                ofd.Filter = fileFilter;
                if (ofd.ShowDialog() != DialogResult.OK) return;

                pictureBox2.Image = null;

                target_path = ofd.FileName;
                pictureBox2.Image = new Bitmap(target_path);
            }

            private void button1_Click(object sender, EventArgs e)
            {
                if (pictureBox1.Image == null || pictureBox2.Image == null)
                {
                    return;
                }

                pictureBox3.Image = null;
                Application.DoEvents();

                Mat source_img = Cv2.ImRead(source_path);
                Mat target_img = Cv2.ImRead(target_path);

                List boxes;
                boxes = detect_face.detect(source_img);

                int position = 0; //一张图片里可能有多个人脸，这里只考虑1个人脸的情况
                //List face_landmark_5of68 = new List();
                List face68landmarks = detect_68landmarks.detect(source_img, boxes[position]);

                //绘图
                //Cv2.Rectangle(source_img, new OpenCvSharp.Point(boxes[0].xmin, boxes[0].ymin), new OpenCvSharp.Point(boxes[0].xmax, boxes[0].ymax), new Scalar(255, 0, 0), 2);
                //foreach (Point2f item in face68landmarks)
                //{
                //    Cv2.Circle(source_img, (int)item.X, (int)item.Y, 4, new Scalar(0, 255, 0), -1);
                //}
                //Cv2.ImShow("source_img", source_img);

                List source_face_embedding = face_embedding.detect(source_img, face68landmarks);

                boxes = detect_face.detect(target_img);


                position = 0; //一张图片里可能有多个人脸，这里只考虑1个人脸的情况
                List target_landmark_5;
                target_landmark_5 = detect_68landmarks.detect(target_img, boxes[position]);

                //绘图
                //Cv2.Rectangle(target_img, new OpenCvSharp.Point(boxes[0].xmin, boxes[0].ymin), new OpenCvSharp.Point(boxes[0].xmax, boxes[0].ymax), new Scalar(255, 0, 0), 2);
                //foreach (Point2f item in target_landmark_5)
                //{
                //    Cv2.Circle(target_img, (int)item.X, (int)item.Y, 4, new Scalar(0, 255, 0), -1);
                //}
                //Cv2.ImShow("target_img", target_img);


                Mat swapimg = swap_face.process(target_img, source_face_embedding, target_landmark_5);

                Mat resultimg = enhance_face.process(swapimg, target_landmark_5);

                //pictureBox3.Image = swapimg.ToBitmap();

                pictureBox3.Image = resultimg.ToBitmap();

                // Cv2.ImShow("resultimg", resultimg);

            }

            private void Form1_Load(object sender, EventArgs e)
            {
                detect_face = new Yolov8Face("model/yoloface_8n.onnx");
                detect_68landmarks = new Face68Landmarks("model/2dfan4.onnx");
                face_embedding = new FaceEmbdding("model/arcface_w600k_r50.onnx");
                swap_face = new SwapFace("model/inswapper_128.onnx");
                enhance_face = new FaceEnhance("model/gfpgan_1.4.onnx");

                target_path = "images/target.jpg";
                source_path = "images/5.jpg";

                //target_path = "images/5.jpg";
                //source_path = "images/14.jpg";

                pictureBox1.Image = new Bitmap(source_path);
                pictureBox2.Image = new Bitmap(target_path);
            }
        }
    }

    1. using OpenCvSharp;
    2. using OpenCvSharp.Extensions;
    3. using System;
    4. using System.Collections.Generic;
    5. using System.Drawing;
    6. using System.Windows.Forms;
    7.  
    8. namespace FaceFusionSharp
    9. {
    10.     public partial class Form1 : Form
    11.     {
    12.         public Form1()
    13.         {
    14.             InitializeComponent();
    15.         }
    16.  
    17.         string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
    18.  
    19.         string startupPath = "";
    20.  
    21.         string source_path = "";
    22.         string target_path = "";
    23.  
    24.         Yolov8Face detect_face;
    25.         Face68Landmarks detect_68landmarks;
    26.         FaceEmbdding face_embedding;
    27.         SwapFace swap_face;
    28.         FaceEnhance enhance_face;
    29.  
    30.         private void button2_Click(object sender, EventArgs e)
    31.         {
    32.             OpenFileDialog ofd = new OpenFileDialog();
    33.             ofd.Filter = fileFilter;
    34.             if (ofd.ShowDialog() != DialogResult.OK) return;
    35.  
    36.             pictureBox1.Image = null;
    37.  
    38.             source_path = ofd.FileName;
    39.             pictureBox1.Image = new Bitmap(source_path);
    40.         }
    41.  
    42.         private void button3_Click(object sender, EventArgs e)
    43.         {
    44.             OpenFileDialog ofd = new OpenFileDialog();
    45.             ofd.Filter = fileFilter;
    46.             if (ofd.ShowDialog() != DialogResult.OK) return;
    47.  
    48.             pictureBox2.Image = null;
    49.  
    50.             target_path = ofd.FileName;
    51.             pictureBox2.Image = new Bitmap(target_path);
    52.         }
    53.  
    54.         private void button1_Click(object sender, EventArgs e)
    55.         {
    56.             if (pictureBox1.Image == null || pictureBox2.Image == null)
    57.             {
    58.                 return;
    59.             }
    60.  
    61.             pictureBox3.Image = null;
    62.             Application.DoEvents();
    63.  
    64.             Mat source_img = Cv2.ImRead(source_path);
    65.             Mat target_img = Cv2.ImRead(target_path);
    66.  
    67.             List<Bbox> boxes;
    68.             boxes = detect_face.detect(source_img);
    69.  
    70.             int position = 0; //一张图片里可能有多个人脸，这里只考虑1个人脸的情况
    71.             //List<Point2f> face_landmark_5of68 = new List<Point2f>();
    72.             List<Point2f> face68landmarks = detect_68landmarks.detect(source_img, boxes[position]);
    73.  
    74.             //绘图
    75.             //Cv2.Rectangle(source_img, new OpenCvSharp.Point(boxes[0].xmin, boxes[0].ymin), new OpenCvSharp.Point(boxes[0].xmax, boxes[0].ymax), new Scalar(255, 0, 0), 2);
    76.             //foreach (Point2f item in face68landmarks)
    77.             //{
    78.             //    Cv2.Circle(source_img, (int)item.X, (int)item.Y, 4, new Scalar(0, 255, 0), -1);
    79.             //}
    80.             //Cv2.ImShow("source_img", source_img);
    81.  
    82.             List<float> source_face_embedding = face_embedding.detect(source_img, face68landmarks);
    83.  
    84.             boxes = detect_face.detect(target_img);
    85.  
    86.  
    87.             position = 0; //一张图片里可能有多个人脸，这里只考虑1个人脸的情况
    88.             List<Point2f> target_landmark_5;
    89.             target_landmark_5 = detect_68landmarks.detect(target_img, boxes[position]);
    90.  
    91.             //绘图
    92.             //Cv2.Rectangle(target_img, new OpenCvSharp.Point(boxes[0].xmin, boxes[0].ymin), new OpenCvSharp.Point(boxes[0].xmax, boxes[0].ymax), new Scalar(255, 0, 0), 2);
    93.             //foreach (Point2f item in target_landmark_5)
    94.             //{
    95.             //    Cv2.Circle(target_img, (int)item.X, (int)item.Y, 4, new Scalar(0, 255, 0), -1);
    96.             //}
    97.             //Cv2.ImShow("target_img", target_img);
    98.  
    99.  
    100.             Mat swapimg = swap_face.process(target_img, source_face_embedding, target_landmark_5);
    101.  
    102.             Mat resultimg = enhance_face.process(swapimg, target_landmark_5);
    103.  
    104.             //pictureBox3.Image = swapimg.ToBitmap();
    105.  
    106.             pictureBox3.Image = resultimg.ToBitmap();
    107.  
    108.             // Cv2.ImShow("resultimg", resultimg);
    109.  
    110.         }
    111.  
    112.         private void Form1_Load(object sender, EventArgs e)
    113.         {
    114.             detect_face = new Yolov8Face("model/yoloface_8n.onnx");
    115.             detect_68landmarks = new Face68Landmarks("model/2dfan4.onnx");
    116.             face_embedding = new FaceEmbdding("model/arcface_w600k_r50.onnx");
    117.             swap_face = new SwapFace("model/inswapper_128.onnx");
    118.             enhance_face = new FaceEnhance("model/gfpgan_1.4.onnx");
    119.  
    120.             target_path = "images/target.jpg";
    121.             source_path = "images/5.jpg";
    122.  
    123.             //target_path = "images/5.jpg";
    124.             //source_path = "images/14.jpg";
    125.  
    126.             pictureBox1.Image = new Bitmap(source_path);
    127.             pictureBox2.Image = new Bitmap(target_path);
    128.         }
    129.     }
    130. }

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  • 原文地址：https://blog.csdn.net/weixin_46771779/article/details/137881477