Baidu AI开放平台人脸检测使用

最近搜索百度云的时候无意间发现百度云计算的官网，也就是百度AI -面向企业及开发者的智能云计算服务平台 没事点进去看了看，发现百度云的人工智能下有个人脸识别的解决方案，在人脸识别这一块发现网页上检测人脸特征点的测试。我上传了好几张照片，发现这个AI经过特征点匹配得出来的特征点非常准确，而且还有如检测人的性别、年龄、肤色等等。而且发现算法可以作为开发使用，所以准备将算法移植到Win32控制台上。 它的技术文档有很多支持，如C#，Java，PHP，Python等，https://cloud.baidu.com/doc/FACE/index.html C#下的技术支持https://cloud.baidu.com/doc/FACE/Face-Csharp-SDK.html#.E6.8E.A5.E5.8F.A3.E8.83.BD.E5.8A.9B C#下离线SDK的下载http://ai.baidu.com/sdk#sdk-category-bfr 参考其技术文档，移植到Windows控制台应用，添加Dll引用并添加FaceDemo.cs文件。

AI提供的模板FaceDemo.cs文件

using System; using System.Collections.Generic; using System.IO; using System.Runtime.InteropServices; using Baidu.Aip; using Newtonsoft.Json; namespace Baidu.Aip.Demo { class FaceDemo { public static void FaceMatch() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var image1 = File.ReadAllBytes("图片文件路径"); var image2 = File.ReadAllBytes("图片文件路径"); var image3 = File.ReadAllBytes("图片文件路径"); var images = new byte[][] {image1, image2, image3}; var result = client.FaceMatch(images); } public static void FaceDetect() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var image = File.ReadAllBytes(@"1.jpg"); var options = new Dictionary<string, object>() { {"face_fields", "age,beauty,expression,faceshape,gender,glasses,landmark,race,qualities"} }; var result = client.FaceDetect(image, options); Console.WriteLine(result); string resultString = result.ToString(); byte[] byteArray = System.Text.Encoding.Default.GetBytes(resultString); FileStream file = new FileStream("Result_Sdk.txt", FileMode.OpenOrCreate); file.Write(byteArray, 0, byteArray.Length); file.Flush(); file.Close(); } public static void FaceRegister() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var image1 = File.ReadAllBytes("图片文件路径"); var result = client.User.Register(image1, "uid", "user info here", new []{"groupId"}); } public static void FaceUpdate() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var image1 = File.ReadAllBytes("图片文件路径"); var result = client.User.Update(image1, "uid", "groupId", "new user info"); } public static void FaceDelete() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var result = client.User.Delete("uid"); result = client.User.Delete("uid", new []{"group1"}); } public static void FaceVerify() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var image1 = File.ReadAllBytes("图片文件路径"); var result = client.User.Verify(image1, "uid", new []{"groupId"}, 1); } public static void FaceIdentify() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var image1 = File.ReadAllBytes("图片文件路径"); var result = client.User.Identify(image1, new []{"groupId"}, 1, 1); } public static void UserInfo() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var result = client.User.GetInfo("uid"); } public static void GroupList() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var result = client.Group.GetAllGroups(0, 100); } public static void GroupUsers() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var result = client.Group.GetUsers("groupId", 0, 100); } public static void GroupAddUser() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var result = client.Group.AddUser(new []{"toGroupId"}, "uid", "fromGroupId"); } public static void GroupDeleteUser() { var client = new Baidu.Aip.Face.Face("Api Key", "Secret Key"); var result = client.Group.DeleteUser(new []{"groupId"}, "uid"); } } }

这里使用AI提供的ApiKey和SecretKey来替换程序的”ApiKey”和”SecretKey”，获取可以参考http://ai.baidu.com/docs#/Begin/top，其中@”1.jpg”为要检测的人脸的图像。

用户主程序入口Program.cs

using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using System.IO; using System.Windows.Forms; using Baidu.Aip; using Newtonsoft.Json; using Baidu.Aip.Demo; namespace _AIFace { class Program { static void Main(string[] args) { Console.WriteLine("This is a face detect test program with Baidu.AI\n"); //访问静态方法 FaceDemo.FaceDetect(); Console.WriteLine("\nPress Enter to exit"); while (true) { ConsoleKeyInfo info = Console.ReadKey(); switch (info.Key) { case ConsoleKey.Enter: Environment.Exit(0); break; default: break; } } } } }

程序运行结果：

{ "result_num": 1, "result": [ { "location": { "left": 71, "top": 153, "width": 170, "height": 151 }, "face_probability": 1, "rotation_angle": -9, "yaw": 6.1190032958984, "pitch": 12.54426574707, "roll": -9.3933248519897, "landmark": [ { "x": 112, "y": 174 }, { "x": 189, "y": 161 }, { "x": 153, "y": 223 }, { "x": 164, "y": 254 } ], "landmark72": [ { "x": 73, "y": 166 }, ... //72个特征点的位置坐标就不一一列出了 ... { "x": 153, "y": 255 } ], "age": 21.859697341919, "beauty": 68.754791259766, "expression": 0, "expression_probablity": 0.99997997283936, "faceshape": [ { "type": "square", "probability": 0.0030876870732754 }, { "type": "triangle", "probability": 0.00013317406410351 }, { "type": "oval", "probability": 0.15438774228096 }, { "type": "heart", "probability": 0.79370421171188 }, { "type": "round", "probability": 0.048687182366848 } ], "gender": "female", "gender_probability": 0.99999630451202, "glasses": 0, "glasses_probability": 0.99999976158142, "race": "yellow", "race_probability": 0.99999988079071, "qualities": { "occlusion": { "left_eye": 0, "right_eye": 0, "nose": 0, "mouth": 0, "left_cheek": 0, "right_cheek": 0, "chin": 0 }, "blur": 0, "illumination": 0, "completeness": 0, "type": { "human": 0.90241307020187, "cartoon": 0.097586907446384 } } } ], "log_id": 558853559 } }

百度AI开放平台提供的人脸检测的程序相对于Dlib和OpenCV人脸检测来说实用起来还是相对简单的，而且可以检测请求图片中的人脸，返回人脸位置、72个关键点坐标、及人脸相关属性信息，如检测人的年龄、性别、肤色及人脸的旋转角度。 作为简单的特征点提取和人脸属性的提取时，它的实用性和方便性还是很不错的，在AI提供的SDK模板中，也支持对人脸的识别、对比、认证、注册、更新、删除等。如果感兴趣可以继续深入了解。