目录
应用场景
在个人简历注册系统中，上传个人照片是我们经常遇到的一项功能。为了提高数据采集的有效性，我们需要的功能不仅是能够提供上传一张图片而已，至少我们要对图片的内容进行一个基本的判断，如是否为人像，性别判断等。通过人脸属性识别功能，采集的数据的准确率将明显提高，有效的数据为后期对注册的个人能够提供更加有效的功能服务，从而提高系统的可用性。
本文将以阿里云提供的接口服务，实现人脸属性识别功能。
关于阿里云人脸属性识别
官方介绍其人脸属性识别能力可以识别检测人脸的性别、年龄、表情、眼镜、帽子五种属性，支持人脸遮挡、光照、模糊度、姿态、噪声综合质量评分，支持检测含有多张人脸的照片属性判断。
更多信息内容请参照：https://help.aliyun.com/zh/viapi/developer-reference/api-m78543?spm=a2c4g.11186623.0.i8
开发前请准备如下操作：
1. 注册阿里云账号。
2. 开通人脸人体服务能力，获取开发者ID和开发者密钥，后继开发会用到。
开发运行环境
操作系统： Windows Server 2019 DataCenter
.net版本： .netFramework4.0 或以上
开发工具：VS2019 C#
类设计
类 AFR (阿里人脸识别) 设计见下表：
类属性
类方法
matchAFR 方法调用返回对应的类属性数据，参数见如下表格：
本方法返回 string 类型的 Json 接口返回值（如果成功的话）。
实现代码
创建AFR类
public class AFR{
public string ErrorMessage = "";
public string ErrorResultJson = "";
public string debugMessage = "";
public string AnalysisReport = "";
public string ResultJson = "";
public int face_num = 0;
public int errno = -1;
public string err_msg = "";
public string request_id = "";
public int[] face_rect = null;
public float[] face_prob = null;
public float[] pose = null;
public int[] landmark_num = null;
public float[] landmark = null;
public float[] iris = null;
public int[] gender = null;
public int[] age = null;
public int[] expression = null;
public int[] glass = null;
public int dense_fea_len = 0;
public float[] dense_fea = null;
public AFR()
{
}
public string matchAFR(string ImageFileOrUrl)
{
System.Net.ServicePointManager.SecurityProtocol = System.Net.SecurityProtocolType.Tls | System.Net.SecurityProtocolType.Tls11 | System.Net.SecurityProtocolType.Tls12;
//ak,sk信息设置
string ak_id = "您的开发者ID";
string ak_secret = "您的开发者密钥";
string method = "POST";
string accept = "application/json";
string contentType = accept;
string body = "";
if (ImageFileOrUrl.ToLower().IndexOf("http") == 0)
{
body = "{\"type\":0, \"image_url\":\"" + ImageFileOrUrl + "\"}";
}
else
{
body = "{\"type\":1, \"content\":\"" +ImgToBase64String(ImageFileOrUrl)+ "\"}";
}
debugMessage += "body:" + body;
byte[] data = Encoding.ASCII.GetBytes(body);
string date = DateTime.UtcNow.GetDateTimeFormats('r')[0].ToString();
string urlpra = "/face/attribute";
string bodyMd5 = Convert.ToBase64String(new System.Security.Cryptography.MD5CryptoServiceProvider().ComputeHash(Encoding.UTF8.GetBytes(body)));
string result = "";
//待加密
string stringToSign = method + "\n" + accept + "\n" + bodyMd5 + "\n" + contentType + "\n" + date + "\n" + urlpra;
//stringToSign计算 HMAC-SHA1得到signature
string signature = Convert.ToBase64String(new System.Security.Cryptography.HMACSHA1(Encoding.UTF8.GetBytes(ak_secret)).ComputeHash(Encoding.UTF8.GetBytes(stringToSign)));
//得到 authorization header
string authHeader = "Dataplus " + ak_id + ":" + signature;
WebRequest req = WebRequest.Create("https://dtplus-cn-shanghai.data.aliyuncs.com/face/attribute");
req.Method = method;
req.ContentType = accept;
req.GetRequestStream().Write(data, 0, data.Length);
//利用反射机制 解决："此标头必须使用适当的属性进行修改" 异常
MethodInfo priMethod = req.Headers.GetType().GetMethod("AddWithoutValidate", BindingFlags.Instance | BindingFlags.NonPublic);
priMethod.Invoke(req.Headers, new[] { "Date", date });
priMethod.Invoke(req.Headers, new[] { "Authorization", authHeader });
priMethod.Invoke(req.Headers, new[] { "Accept", accept });
string t = DateTime.UtcNow.GetDateTimeFormats('r')[0].ToString();
try
{
ResultJson = new StreamReader(req.GetResponse().GetResponseStream()).ReadToEnd();
}
catch (WebException ex)
{
ErrorMessage="request error:"+ex.Message;
ErrorResultJson=new StreamReader(ex.Response.GetResponseStream()).ReadToEnd();
}
Newtonsoft.Json.Linq.JObject jsonObj = new JObject();
try
{
jsonObj = Newtonsoft.Json.Linq.JObject.Parse(ResultJson);
}
catch (Exception e)
{
ErrorMessage += " parse json error:\r\n"+e.Message;
return ResultJson;
}
Dictionary<string, string> jd = new Dictionary<string, string>();
jd.Add("face_num","int");
jd.Add("errno","int");
jd.Add("err_msg", "string");
jd.Add("request_id", "string");
jd.Add("face_rect","int[]");
jd.Add("face_prob","float[]");
jd.Add("pose","float[]");
jd.Add("landmark_num","int[]");
jd.Add("landmark","float[]");
jd.Add("iris","float[]");
jd.Add("gender","int[]");
jd.Add("age","int[]");
jd.Add("expression","int[]");
jd.Add("glass","int[]");
jd.Add("dense_fea_len","int");
jd.Add("dense_fea","float[]");
foreach (KeyValuePair<string, string> kvp in jd)
{
string key= kvp.Key;
string value = kvp.Value;
if (jsonObj[key] == null)
{
continue;
}
if (value == "string")
{
this.GetType().GetField(key, BindingFlags.Public | BindingFlags.Instance).SetValue(this, jsonObj[key].ToString());
}else if (value=="int"){
this.GetType().GetField(key, BindingFlags.Public | BindingFlags.Instance).SetValue(this, int.Parse(jsonObj[key].ToString()));
}else if (value=="int[]"){
string[] ss=jsonObj[key].ToString().Replace("[","").Replace("]","").Split(',');
int[] vs= Array.ConvertAll<string, int>(ss , int.Parse);
this.GetType().GetField(key, BindingFlags.Public | BindingFlags.Instance).SetValue(this,vs);
}else if (value=="float[]"){
string[] ss=jsonObj[key].ToString().Replace("[","").Replace("]","").Split(',');
float[] vs= Array.ConvertAll<string, float>(ss , float.Parse);
this.GetType().GetField(key, BindingFlags.Public | BindingFlags.Instance).SetValue(this,vs);
}
}
return ResultJson;
}
}
调用举例
假设 Page 页面有 ReportResult 文本框，用于接收调试信息，则调用示例代码如下：
AFR afr = new AFR();
string result = afr.matchAFR("d:\\test.png");
if (afr.face_num < 1)
{
ReportResult.Text = "您上传的图片未通过检测，请上传证件照！" ;
ReportResult.Text += "\r\n 错误码：" + afr.errno.ToString();
ReportResult.Text += "\r\n 错误信息：" + afr.err_msg;
ReportResult.Text += "\r\n 组件返回的错误信息：" + afr.ErrorMessage;
}
else
{
ReportResult.Text = "人脸个数：" + afr.face_num.ToString();
ReportResult.Text += "\r\n为测试仅显示第一张人脸的部分信息：";
ReportResult.Text += "\r\n 请求ID：" + afr.request_id.ToString();
ReportResult.Text += "\r\n 性别：" + (afr.gender[0] == 1 ? "男" : "女");
ReportResult.Text += "\r\n 年龄：" + afr.age[0].ToString();
ReportResult.Text += "\r\n 表情：" + (afr.expression[0] == 0 ? "中性" : "微笑");
ReportResult.Text += "\r\n 是否佩戴眼镜：" + (afr.glass[0] == 0 ? "无眼镜" : "有眼镜");
ReportResult.Text += "\r\n 相似度：" + afr.face_prob[0].ToString();
}
ReportResult.Text += "\r\n原始返回结果：\r\n" + result;调用成功后会返回类似如下结果：
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小结
调用云接口服务需要费用，我们需要根据实际应用进行成本考虑，具体内容可以参照以下链接：
方法代码中需要获取图片的Base64编码，如何获取base64数据的方法请参照我的文章：《C# 自动填充文字内容到指定图片》
感谢您的阅读，希望本文能够对您有所帮助。