C# OpenCvSharp DNN Gaze Estimation 视线估计

目录

介绍

效果

模型信息

项目

代码

frmMain.cs

GazeEstimation.cs

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C# OpenCvSharp DNN Gaze Estimation

介绍

训练源码地址：https://github.com/deepinsight/insightface/tree/master/reconstruction/gaze

效果

模型信息

Inputs

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name：input

tensor：Float[1, 3, 160, 160]

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Outputs

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name：output

tensor：Float[1, 962, 3]

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项目

代码

frmMain.cs

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

namespace OpenCvSharp_Yolov8_Demo
{
    public partial class frmMain : Form
    {
        public frmMain()
        {
            InitializeComponent();
        }

        string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
        string image_path = "";
        string startupPath;
        Mat image;
        Mat result_image;

        YOLOv8_face face_detector = new YOLOv8_face("model/yolov8n-face.onnx", 0.45f, 0.5f);
        GazeEstimation gaze_predictor=new GazeEstimation("model/generalizing_gaze_estimation_with_weak_supervision_from_synthetic_views_1x3x160x160.onnx");

        private void Form1_Load(object sender, EventArgs e)
        {

            image_path = "img_test/1.jpg";
            pictureBox1.Image = new Bitmap(image_path);
            image = new Mat(image_path);
        }

        private void button1_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 = "";
            pictureBox2.Image = null;
        }

        private void button2_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }
            textBox1.Text = "";
            pictureBox2.Image = null;
            button2.Enabled = false;
            Application.DoEvents();

            image = new Mat(image_path);
            List<Face> ltFace = face_detector.Detect(new Mat(image_path));

            if (ltFace.Count > 0)
            {
                result_image = image.Clone();
                //face_detector.DrawPred(ltFace, result_image);
                String info = "";
                foreach (Face item in ltFace)
                {
                    gaze_predictor.Detect(image, item);
                    result_image = gaze_predictor.DrawOn(result_image, item,out info);
                }
                pictureBox2.Image = new Bitmap(result_image.ToMemoryStream());
                textBox1.Text = info;
            }
            else
            {
                textBox1.Text = "无信息";
            }

            button2.Enabled = true;
        }

    }
}

GazeEstimation.cs

 unsafe public class GazeEstimation
    {

        float[] mean = new float[] { 0.5f, 0.5f, 0.5f };
        float[] std = new float[] { 0.5f, 0.5f, 0.5f };
        int[] iris_idx_481 = new int[] { 248, 252, 224, 228, 232, 236, 240, 244 };
        int num_eye = 481;
        int input_size = 160;
        float[] eye_kps;
        Net net;

        public GazeEstimation(string modelpath)
        {
            net = CvDnn.ReadNetFromOnnx(modelpath);
            eye_kps = new float[num_eye * 2 * 3];
        }

        public void Detect(Mat img, Face box)
        {

            Point kps_right_eye = box.kpt[1];
            Point kps_left_eye = box.kpt[0];
            float[] center = new float[] { (kps_right_eye.X + kps_left_eye.X) * 0.5f, (kps_right_eye.Y + kps_left_eye.Y) * 0.5f };
            float _size = (float)(Math.Max(box.rect.Width / 1.5f, Math.Abs(kps_right_eye.X - kps_left_eye.X)) * 1.5f);

            float _scale = input_size / _size;
            //transform
            float cx = center[0] * _scale;
            float cy = center[1] * _scale;

            float[] data = new float[] { _scale, 0, (float)(-cx + input_size * 0.5), 0, _scale, (float)(-cy + input_size * 0.5) };
            Mat M = new Mat(2, 3, MatType.CV_32F, data);

            Mat cropped = new Mat();
            Cv2.WarpAffine(img, cropped, M, new Size(input_size, input_size));

            Mat rgbimg = new Mat();
            Cv2.CvtColor(cropped, rgbimg, ColorConversionCodes.BGR2RGB);

            Mat normalized_mat = Normalize(rgbimg);

            Mat blob = CvDnn.BlobFromImage(normalized_mat);

            net.SetInput(blob);

            Mat[] outs = new Mat[3] { new Mat(), new Mat(), new Mat() };
            string[] outBlobNames = net.GetUnconnectedOutLayersNames().ToArray();

            net.Forward(outs, outBlobNames);

            float* opred = (float*)outs[0].Data;//outs[0]的形状是(1,962,3)
            Mat IM = new Mat();
            Cv2.InvertAffineTransform(M, IM);
            //trans_points
            float scale = (float)Math.Sqrt(IM.At<float>(0, 0) * IM.At<float>(0, 0) + IM.At<float>(0, 1) * IM.At<float>(0, 1));
            int row = outs[0].Size(1);
            int col = outs[0].Size(2);

            for (int i = 0; i < row; i++)
            {
                eye_kps[i * 3] = IM.At<float>(0, 0) * opred[i * 3] + IM.At<float>(0, 1) * opred[i * 3 + 1] + IM.At<float>(0, 2);
                eye_kps[i * 3 + 1] = IM.At<float>(1, 0) * opred[i * 3] + IM.At<float>(1, 1) * opred[i * 3 + 1] + IM.At<float>(1, 2);
                eye_kps[i * 3 + 2] = opred[i * 3 + 2] * scale;
            }

        }

        public Mat DrawOn(Mat srcimg, Face box, out string info)
        {
            StringBuilder sb = new StringBuilder();

            float rescale = 300.0f / box.rect.Width;
            Mat eimg = new Mat();
            Cv2.Resize(srcimg, eimg, new Size(), rescale, rescale);
            //draw_item
            int row = num_eye * 2;
            for (int i = 0; i < row; i++)
            {
                float tmp = eye_kps[i * 3];
                eye_kps[i * 3] = eye_kps[i * 3 + 1] * rescale;
                eye_kps[i * 3 + 1] = tmp * rescale;
                eye_kps[i * 3 + 2] *= rescale;
            }
            //angles_and_vec_from_eye
            int slice = num_eye * 3;
            float[] theta_x_y_vec_l = new float[5];

            float[] eye_kps_l = new float[481 * 3];
            float[] eye_kps_r = new float[481 * 3];

            Array.Copy(eye_kps, 0, eye_kps_l, 0, 481 * 3);
            Array.Copy(eye_kps, 481 * 3, eye_kps_r, 0, 481 * 3);

            angles_and_vec_from_eye(eye_kps_l, iris_idx_481, theta_x_y_vec_l);
            float[] theta_x_y_vec_r = new float[5];

            angles_and_vec_from_eye(eye_kps_r, iris_idx_481, theta_x_y_vec_r);

            float[] gaze_pred = new float[] { (float)((theta_x_y_vec_l[0] + theta_x_y_vec_r[0]) * 0.5), (float)((theta_x_y_vec_l[1] + theta_x_y_vec_r[1]) * 0.5) };

            float diag = (float)Math.Sqrt((float)eimg.Rows * eimg.Cols);

            float[] eye_pos_left = new float[] { 0, 0 };
            float[] eye_pos_right = new float[] { 0, 0 };
            for (int i = 0; i < 8; i++)
            {
                int ind = iris_idx_481[i];
                eye_pos_left[0] += eye_kps[ind * 3];
                eye_pos_left[1] += eye_kps[ind * 3 + 1];
                eye_pos_right[0] += eye_kps[slice + ind * 3];
                eye_pos_right[1] += eye_kps[slice + ind * 3 + 1];
            }
            eye_pos_left[0] /= 8;
            eye_pos_left[1] /= 8;
            eye_pos_right[0] /= 8;
            eye_pos_right[1] /= 8;

            float dx = (float)(0.4 * diag * Math.Sin(theta_x_y_vec_l[1]));
            float dy = (float)(0.4 * diag * Math.Sin(theta_x_y_vec_l[0]));
            Point eye_left_a = new Point(eye_pos_left[1], eye_pos_left[0]);  左眼的箭头线的起始点坐标
            Point eye_left_b = new Point(eye_pos_left[1] + dx, eye_pos_left[0] + dy);   左右的箭头线的终点坐标

            Cv2.ArrowedLine(eimg, eye_left_a, eye_left_b, new Scalar(0, 0, 255), 5, LineTypes.AntiAlias, 0, 0.18);
            float yaw_deg_l = (float)(theta_x_y_vec_l[1] * (180 / Math.PI));
            float pitch_deg_l = (float)(-theta_x_y_vec_l[0] * (180 / Math.PI));

            dx = (float)(0.4 * diag * Math.Sin(theta_x_y_vec_r[1]));
            dy = (float)(0.4 * diag * Math.Sin(theta_x_y_vec_r[0]));

            Point eye_right_a = new Point(eye_pos_right[1], eye_pos_right[0]);  右眼的箭头线的起始点坐标
            Point eye_right_b = new Point(eye_pos_right[1] + dx, eye_pos_right[0] + dy);  右眼的箭头线的终点坐标
            Cv2.ArrowedLine(eimg, eye_right_a, eye_right_b, new Scalar(0, 0, 255), 5, LineTypes.AntiAlias, 0, 0.18);

            float yaw_deg_r = (float)(theta_x_y_vec_r[1] * (180 / Math.PI));
            float pitch_deg_r = (float)(-theta_x_y_vec_r[0] * (180 / Math.PI));

            Cv2.Resize(eimg, eimg, new Size(srcimg.Cols, srcimg.Rows));
            //draw Yaw, Pitch
            string label = String.Format("L-Yaw : {0:f2}", yaw_deg_l);
            sb.AppendLine(label);
            Cv2.PutText(eimg, label, new Point(eimg.Cols - 200, 30), HersheyFonts.HersheySimplex, 0.7, new Scalar(0, 255, 0), 2);

            label = String.Format("L-Pitch :{0:f2}", pitch_deg_l);
            sb.AppendLine(label);
            Cv2.PutText(eimg, label, new Point(eimg.Cols - 200, 60), HersheyFonts.HersheySimplex, 0.7, new Scalar(0, 255, 0), 2);

            label = String.Format("R-Yaw : {0:f2}", yaw_deg_r);
            sb.AppendLine(label);
            Cv2.PutText(eimg, label, new Point(eimg.Cols - 200, 90), HersheyFonts.HersheySimplex, 0.7, new Scalar(0, 255, 0), 2);

            label = String.Format("R-Pitch : {0:f2}", pitch_deg_r);
            sb.AppendLine(label);
            Cv2.PutText(eimg, label, new Point(eimg.Cols - 200, 120), HersheyFonts.HersheySimplex, 0.7, new Scalar(0, 255, 0), 2);

            info = sb.ToString();

            return eimg;

        }

        public Mat Normalize(Mat src)
        {
            Mat[] bgr = src.Split();
            for (int i = 0; i < bgr.Length; ++i)
            {
                bgr[i].ConvertTo(bgr[i], MatType.CV_32FC1, 1.0 / (255.0 * std[i]), (0.0 - mean[i]) / std[i]);
            }

            Cv2.Merge(bgr, src);

            foreach (Mat channel in bgr)
            {
                channel.Dispose();
            }

            return src;
        }

        /// <summary>
        /// 输入参数eye的形状是(481,3)
        /// 输入参数iris_lms_idx的长度shi
        /// 输出theta_x_y_vec的长度是5, 分别是theta_x, theta_y, vec[0], vec[1], vec[2]
        /// </summary>
        void angles_and_vec_from_eye(float[] eye, int[] iris_lms_idx, float[] theta_x_y_vec)
        {

            float[] mean = new float[] { 0, 0, 0 };
            for (int i = 0; i < 32; i++)
            {
                mean[0] += eye[i * 3];
                mean[1] += eye[i * 3 + 1];
                mean[2] += eye[i * 3 + 2];
            }
            mean[0] /= 32;
            mean[1] /= 32;
            mean[2] /= 32;

            float[] p_iris = new float[8 * 3];
            for (int i = 0; i < 8; i++)
            {
                int ind = iris_lms_idx[i];
                p_iris[i * 3] = eye[ind * 3] - mean[0];
                p_iris[i * 3 + 1] = eye[ind * 3 + 1] - mean[1];
                p_iris[i * 3 + 2] = eye[ind * 3 + 2] - mean[2];
            }

            float[] mean_p_iris = new float[] { 0, 0, 0 };
            for (int i = 0; i < 8; i++)
            {
                mean_p_iris[0] += p_iris[i * 3];
                mean_p_iris[1] += p_iris[i * 3 + 1];
                mean_p_iris[2] += p_iris[i * 3 + 2];
            }
            mean_p_iris[0] /= 8;
            mean_p_iris[1] /= 8;
            mean_p_iris[2] /= 8;

            float l2norm_p_iris = (float)Math.Sqrt(mean_p_iris[0] * mean_p_iris[0] + mean_p_iris[1] * mean_p_iris[1] + mean_p_iris[2] * mean_p_iris[2]);
            theta_x_y_vec[2] = mean_p_iris[0] / l2norm_p_iris;  ///vec[0]
            theta_x_y_vec[3] = mean_p_iris[1] / l2norm_p_iris;  ///vec[1]
            theta_x_y_vec[4] = mean_p_iris[2] / l2norm_p_iris;  ///vec[2]

            //angles_from_vec
            float x = -theta_x_y_vec[4];
            float y = theta_x_y_vec[3];
            float z = -theta_x_y_vec[2];
            float theta = (float)Math.Atan2(y, x);
            float phi = (float)(Math.Atan2(Math.Sqrt(x * x + y * y), z) - Math.PI * 0.5);
            theta_x_y_vec[0] = phi;
            theta_x_y_vec[1] = theta;
        }

    }

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