Visual Studio 2015 یا 2017

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<Window x:Class="DemoApp.MainWindow" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" xmlns:d="http://schemas.microsoft.com/expression/blend/2008" xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" mc:Ignorable="d" Title="Face_API" Height="350" Width="525">  
    <Grid x:Name="BackPanel">  
        <Grid.ColumnDefinitions>  
            <ColumnDefinition Width="194*" />  
            <ColumnDefinition Width="323*" /> </Grid.ColumnDefinitions>  
        <Image x:Name="FacePhoto" Stretch="Uniform" Margin="0,0,0,30" Grid.ColumnSpan="2" />  
        <Button x:Name="BrowseButton" Margin="20,0,20,5" Height="20" VerticalAlignment="Bottom" Content="Browse..." Click="BrowseButton_Click" Grid.ColumnSpan="2" /> </Grid>  
</Window>  

سپس ، کد زیر را در صفحه MainWindow.xaml.cs قرار دهید.در خط 18ام ،  کلمه  "keys" را به کد دریافتی تغییر دهید.

using System;  
using System.Linq;  
using System.Threading.Tasks;  
using System.Windows;  
using System.Windows.Media;  
using System.Windows.Media.Imaging;  
using System.IO;  
using Microsoft.ProjectOxford.Face;  
using Microsoft.ProjectOxford.Face.Contract;  
namespace DemoApp {  
    /// <summary>  
    /// Interaction logic for MainWindow.xaml  
    /// </summary>  
    public partial class MainWindow: Window {  
        IFaceServiceClient faceServiceClient = new FaceServiceClient("Keys");  
        private async void BrowseButton_Click(object sender, RoutedEventArgs e) {  
            var openDlg = new Microsoft.Win32.OpenFileDialog();  
            openDlg.Filter = "JPEG Image(*.jpg)|*.jpg";  
            bool ? result = openDlg.ShowDialog(this);  
            if (!(bool) result) {  
                return;  
            }  
            string filePath = openDlg.FileName;  
            Uri fileUri = new Uri(filePath);  
            BitmapImage bitmapSource = new BitmapImage();  
            bitmapSource.BeginInit();  
            bitmapSource.CacheOption = BitmapCacheOption.None;  
            bitmapSource.UriSource = fileUri;  
            bitmapSource.EndInit();  
            FacePhoto.Source = bitmapSource;  
            Title = "Detecting...";  
            FaceRectangle[] faceRects = await UploadAndDetectFaces(filePath);  
            Title = String.Format("Detection Finished. {0} face(s) detected", faceRects.Length);  
            if (faceRects.Length > 0) {  
                DrawingVisual visual = new DrawingVisual();  
                DrawingContext drawingContext = visual.RenderOpen();  
                drawingContext.DrawImage(bitmapSource, new Rect(0, 0, bitmapSource.Width, bitmapSource.Height));  
                double dpi = bitmapSource.DpiX;  
                double resizeFactor = 96 / dpi;  
                foreach(var faceRect in faceRects) {  
                    drawingContext.DrawRectangle(Brushes.Transparent, new Pen(Brushes.Red, 2), new Rect(faceRect.Left * resizeFactor, faceRect.Top * resizeFactor, faceRect.Width * resizeFactor, faceRect.Height * resizeFactor));  
                }  
                drawingContext.Close();  
                RenderTargetBitmap faceWithRectBitmap = new RenderTargetBitmap(  
                    (int)(bitmapSource.PixelWidth * resizeFactor), (int)(bitmapSource.PixelHeight * resizeFactor), 96, 96, PixelFormats.Pbgra32);  
                faceWithRectBitmap.Render(visual);  
                FacePhoto.Source = faceWithRectBitmap;  
            }  
        }  
        private async Task < FaceRectangle[] > UploadAndDetectFaces(string imageFilePath) {  
            try {  
                using(Stream imageFileStream = File.OpenRead(imageFilePath)) {  
                    var faces = await faceServiceClient.DetectAsync(imageFileStream);  
                    var faceRects = faces.Select(face => face.FaceRectangle);  
                    return faceRects.ToArray();  
                }  
            } catch (Exception) {  
                return new FaceRectangle[0];  
            }  
        }  
        public MainWindow() {  
            InitializeComponent();  
        }  
    }  
} 

برنامه را اجرا کنید.  دکمه "Browse" را فشار دهید تا تصویر را از کامپیوتر انتخاب کنید.

سپس ، برنامه عکس را تشخیص میدهد.

شما می توانید مشاهده کنید که چهره های تصویری که ما از کامپیوتر انتخاب کردیم تشخیص داده شده است.