baiduAIFaceIdentify-master

所属分类:其他
开发工具:C#
文件大小:5644KB
下载次数:2
上传日期:2018-02-06 21:29:58
上 传 者zhognli
说明:  basic on Aforge.net Face Recognition C# source code

文件列表:
BaiduAI (0, 2018-01-19)
BaiduAI\.vs (0, 2018-01-19)
BaiduAI\.vs\BaiduAI (0, 2018-01-19)
BaiduAI\.vs\BaiduAI\v14 (0, 2018-01-19)
BaiduAI\.vs\BaiduAI\v14\.suo (78336, 2018-01-19)
BaiduAI\BaiduAI.sln (966, 2018-01-19)
BaiduAI\BaiduAI (0, 2018-01-19)
BaiduAI\BaiduAI\BaiduAI.csproj (6194, 2018-01-19)
BaiduAI\BaiduAI\Common (0, 2018-01-19)
BaiduAI\BaiduAI\Common\ClassLoger.cs (12705, 2018-01-19)
BaiduAI\BaiduAI\Common\JsonHelper.cs (2961, 2018-01-19)
BaiduAI\BaiduAI\Common\ValidHelper.cs (12579, 2018-01-19)
BaiduAI\BaiduAI\FaceDetectInfo.cs (6871, 2018-01-19)
BaiduAI\BaiduAI\FaceIdentifyInfo.cs (1106, 2018-01-19)
BaiduAI\BaiduAI\Form1.Designer.cs (15327, 2018-01-19)
BaiduAI\BaiduAI\Form1.cs (21157, 2018-01-19)
BaiduAI\BaiduAI\Form1.resx (5698, 2018-01-19)
BaiduAI\BaiduAI\Program.cs (467, 2018-01-19)
BaiduAI\BaiduAI\Properties (0, 2018-01-19)
BaiduAI\BaiduAI\Properties\AssemblyInfo.cs (1286, 2018-01-19)
BaiduAI\BaiduAI\Properties\Resources.Designer.cs (2756, 2018-01-19)
BaiduAI\BaiduAI\Properties\Resources.resx (5496, 2018-01-19)
BaiduAI\BaiduAI\Properties\Settings.Designer.cs (1064, 2018-01-19)
BaiduAI\BaiduAI\Properties\Settings.settings (242, 2018-01-19)
BaiduAI\BaiduAI\bin (0, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug (0, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Controls.dll (44544, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Controls.xml (64661, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Imaging.dll (262656, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Imaging.xml (925031, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Math.dll (68096, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Math.xml (264974, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Video.DirectShow.dll (61440, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Video.DirectShow.xml (191179, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Video.dll (20992, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.Video.xml (52085, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.dll (17920, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AForge.xml (76580, 2018-01-19)
BaiduAI\BaiduAI\bin\Debug\AipSdk.dll (57344, 2018-01-19)
... ...

> baiduAIFaceIdentify项目是C#语言,集成百度AI的SDK利用AForge开发的实时人脸识别的小demo,里边包含了人脸检测识别,人脸注册,人脸登录等功能 #### 人脸实时检测识别功能 思路是利用AForge打开摄像头,通过摄像头获取到的图像显示在winform窗体中AForge的控件中,利用AForge控件中的NewFrame事件获取要显示的每一帧的图像,获取图像传输到百度AI平台进行人脸检测,并且将检测结果反馈到界面显示的图像中。在这个过程中有两个问题,获取图像上传到百度AI平台进行分析需要时间,这个时间跟网络有关,所以需要单独一个线程进行人脸识别,第二个问题,百度人脸识别接口开发者一秒内只能掉用2次接口,所以需要控制不是每一帧的图像都要上传。所以基于以上思路 首先页面初始化的时候获取视频设备、启动一个单独线程控制1秒内人脸检测的次数: ``` private void Form1_Load(object sender, EventArgs e) { /// 获取电脑已经安装的视频设备 videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice); if (videoDevices!=null && videoDevices.Count>0) { foreach (FilterInfo device in videoDevices) { comboBox1.Items.Add(device.Name); } comboBox1.SelectedIndex = 0; } videoSourcePlayer1.NewFrame += VideoSourcePlayer1_NewFrame; // 开发者在百度AI平台人脸识别接口只能1秒中调用2次,所以需要做 定时开始检测,每个一秒检测2次 ThreadPool.QueueUserWorkItem(new WaitCallback(p => { while (true) { IsStart = true; Thread.Sleep(500); } })); } ``` 其次,在NewFrame的回调方法中,根据IsStart判断是否要开始人脸识别,并且另外启动一个线程进行人脸识别操作,判断如果已经有识别过的结构,根据返回的人脸的位置,在当前的一帧图像中绘制方框指示出识别出的人脸位置 ``` private void VideoSourcePlayer1_NewFrame(object sender, ref Bitmap image) { try { if (IsStart) { IsStart = false; // 在线程池中另起一个线程进行人脸检测,这样不会造成界面视频卡顿现象 ThreadPool.QueueUserWorkItem(new WaitCallback(this.Detect), image.Clone()); } if (location != null) { try { // 绘制方框套住人脸 Graphics g = Graphics.FromImage(image); g.DrawLine(new Pen(Color.Black), new System.Drawing.Point(location.left, location.top), new System.Drawing.Point(location.left + location.width, location.top)); g.DrawLine(new Pen(Color.Black), new System.Drawing.Point(location.left, location.top), new System.Drawing.Point(location.left, location.top + location.height)); g.DrawLine(new Pen(Color.Black), new System.Drawing.Point(location.left, location.top + location.height), new System.Drawing.Point(location.left + location.width, location.top + location.height)); g.DrawLine(new Pen(Color.Black), new System.Drawing.Point(location.left + location.width, location.top), new System.Drawing.Point(location.left + location.width, location.top + location.height)); g.Dispose(); } catch (Exception ex) { ClassLoger.Error("VideoSourcePlayer1_NewFrame", ex); } } } catch (Exception ex) { ClassLoger.Error("VideoSourcePlayer1_NewFrame1", ex); } } ``` #### 人脸注册。 在一些类似刷脸签到、刷脸登录的应用场景中,根据人脸获取人物信息,前提就是人脸注册,人脸注册就是获取当前摄像头的一帧图像,调用百度AI的人脸注册接口进行注册 ``` // 用户ID string uid = "1"; // 用户资料,长度限制256B string userInfo = textBox6.Text.Trim(); // 用户组ID string groupId = textBox5.Text.Trim(); if (comboBox1.Items.Count <= 0) { MessageBox.Show("请插入视频设备"); return; } try { if (videoSourcePlayer1.IsRunning) { BitmapSource bitmapSource = System.Windows.Interop.Imaging.CreateBitmapSourceFromHBitmap( videoSourcePlayer1.GetCurrentVideoFrame().GetHbitmap(), IntPtr.Zero, Int32Rect.Empty, BitmapSizeOptions.FromEmptyOptions()); var img = BitmapSource2Byte(bitmapSource); var options = new Dictionary{ {"action_type", "replace"} }; var result = client.UserAdd(uid, userInfo, groupId, img, options); if (result.ToString().Contains("error_code")) { MessageBox.Show("注册失败:" + result.ToString()); } else { MessageBox.Show("注册成功"); } } } catch (Exception ex) { MessageBox.Show("摄像头异常:" + ex.Message); } ``` #### 人脸登录 人脸登录和人脸注册的方式一样,只不过调用的是百度AI的人脸登录接口 ``` // 用户ID string uid = "1"; // 用户资料,长度限制256B string userInfo = textBox6.Text.Trim(); // 用户组ID string groupId = textBox5.Text.Trim(); if (comboBox1.Items.Count <= 0) { MessageBox.Show("请插入视频设备"); return; } try { if (videoSourcePlayer1.IsRunning) { BitmapSource bitmapSource = System.Windows.Interop.Imaging.CreateBitmapSourceFromHBitmap( videoSourcePlayer1.GetCurrentVideoFrame().GetHbitmap(), IntPtr.Zero, Int32Rect.Empty, BitmapSizeOptions.FromEmptyOptions()); var img = BitmapSource2Byte(bitmapSource); // 如果有可选参数 //var options = new Dictionary{ // {"ext_fields", "faceliveness"}, // {"user_top_num", 3} //}; var result = client.Identify(groupId, img); FaceIdentifyInfo info = JsonHelper.DeserializeObject(result.ToString()); if (info!=null && info.result!=null && info.result.Length>0) { textBox7.Text = info.result[0].user_info; } } } catch (Exception ex) { MessageBox.Show("摄像头异常:" + ex.Message); } ```

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