privateIFaceClient _faceClient;//检测到的人脸privateIList<DetectedFace> _faceList;//人脸描述信息privatestring[] _faceDescriptions;privatedouble_resizeFactor;privateconststring_defaultStatusBarText ="鼠标移动到面部显示描述信息.";publicMainWindow(){ InitializeComponent();//faceid的订阅keystringsubscriptionKey...
}#定义返回的内容,包括FaceId,年龄、性别等等params =urllib.urlencode({'returnFaceId':'true','returnFaceLandmarks':'false','returnFaceAttributes':'age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise', })#打开本地图片#imgfile = 'D:\\Heng\\...
人脸检测:这个API可以从图片中检测出人脸,并且返回人脸在图片中的位置,该位置用矩形坐标的形式返回,同时需要注意的是,该API还会返回一系列和人脸相关的属性,例如:头部姿势,性别,年龄,情感,面部的毛发,是否有佩戴眼镜等等。 人脸验证:顾名思义就是用于判断是否一致的,是否是同一个人,可以用于人脸识别认证这一类的应用。
private string FaceDescription(DetectedFace face) { StringBuilder sb = new StringBuilder(); sb.Append("人脸: "); // 性别年龄 sb.Append(face.FaceAttributes.Gender.Value == Gender.Female ? "女性" : "男性"); sb.Append(", "); sb.Append(face.FaceAttributes.Age.ToString() + "岁"); sb....
// Parameter `returnFaceAttributes` is set to include the QualityForRecognition attribute. // Recognition model must be set to recognition_03 or recognition_04 as a result. // Result faces with insufficient quality for recognition are filtered out. ...
// Parameter `returnFaceAttributes` is set to include the QualityForRecognition attribute. // Recognition model must be set to recognition_03 or recognition_04 as a result. // Result faces with insufficient quality for recognition are filtered out. // The field `faceId` in returned `Detect...
除了臉部矩形和特徵點外,臉部偵測 API 還會分析數個臉部的概念屬性。 如需完整清單,請參閱臉部屬性概念一節。 若要分析臉部屬性,請將detectionModel參數設定為DetectionModel.Detection01,將returnFaceAttributes參數設定為FaceAttributeType Enum值清單。 C# varrequiredFaceAttributes =newFaceAttrib...
FaceAttributes() Source: FaceAttributes.cs 初始化 FaceAttributes 类的新实例。 C# 复制 public FaceAttributes (); 适用于 Azure SDK for .NET Preview 产品版本 Azure SDK for .NET Preview FaceAttributes(Nullable<Double>, Nullable<Gender>, Nullable<Double>, FacialHair, Nullable<GlassesT...
若要提取人脸属性,请再次调用检测 API,但将 detectionModel 设置为 detection_01。 同时,添加 returnFaceAttributes 查询参数。 该命令现在应如下所示。 与之前一样,请插入你的人脸订阅密钥和终结点。 [{"faceId": "3307d715-c326-4c11-98a4-f46ce9ab9ad3","faceRectangle": {"top": 78,"left": 57,"wi...
url = "https://rafaces.cognitiveservices.azure.com/face/v1.0/detect" querystring = {"q": "requests+language:python","returnFaceAttributes":"age,gender,smile,emotion,glasses,noise","maxNumOfCandidatesReturned ":"Tru","maxNumOfCandidatesReturned%20":"Tru"} ...