目录
应用场景
关于阿里云人脸属性识别
开发运行环境
类设计
类属性
类方法
实现代码
创建AFR类
调用举例
小结
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
| 序号 | 属性名 | 类型 | 说明 |
|---|---|---|---|
| 1 | ErrorMessage | string | 发生任何异常返回的错误信息 |
| 2 | ErrorResultJson | string | 请求错误时返回结果Json数据 |
| 3 | debugMessage | string | 调试信息 |
| 4 | AnalysisReport | string | 综合分析报告建议 |
| 5 | ResultJson | string | 正常返回的JSON数据 |
| 6 | face_num | int | 识别图片中的人脸个数，默认为0 |
| 7 | errno | int | 接口返回的错误码 |
| 8 | err_msg | string | 接口返回的错误信息 |
| 9 | request_id | string | 接口返回的申请ID |
| 10 | face_rect | int[] | 接口识别有人像时，存储每个人像在图片中的矩形框，分别是[left, top, width, height]。如有多个人脸，则依次顺延，返回矩形框。 |
| 11 | face_prob | float[] | 接口识别有人像时，存储每个人像的人脸检测的概率，取值范围0~1。如有多个人脸，则依次返回。例如有两个人脸则返回[face_prob1, face_prob2]。 |
| 12 | pose | float[] | 接口识别有人像时，存储每个人像的人脸姿态，格式为 yaw为左右角度，取值范围-90~90。 |
| 13 | landmark_num | int[] | 接口识别有人像时，存储每个人像的人脸检测的特征点数目，目前固定为105点。依次为：眉毛24点，眼睛32点，鼻子6点，嘴巴34点，外轮廓9点。 |
| 14 | landmark | float[] | 与landmark_num对应，如果有时则返回人脸的特征点定位结果，每个人脸返回一组特征点位置，表示方式为（x0, y0, x1, y1, ……）。如有多个人脸，则依次返回，返回定位浮点数。 |
| 15 | iris | float[] | 接口识别有人像时，存储每个人像的左右两个瞳孔的中心点坐标和半径，每个人脸6个浮点数，顺序为[left_iris_cenpt.x, left_iris_cenpt.y, left_iris_radius, right_iris_cenpt.x, right_iris_cenpt.y, right_iris_radis]。 |
| 16 | gender | int[] | 接口识别有人像时，存储每个人像的性别，0 女性，1 男性 |
| 17 | age | int[] | 接口识别有人像时，存储每个人像的预判年龄值 |
| 18 | expression | int[] | 接口识别有人像时，存储每个人像的表情结果，0 中性，1 微笑 |
| 19 | glass | int[] | 接口识别有人像时，存储每个人像是否佩戴眼镜，0 没有，1 普通眼镜，2 墨镜 |
| 20 | dense_fea_len | int | 人脸识别返回的特征维度，目前固定为1024。 |
| 21 | dense_fea | float[] | 与dense_fea_len对应，存储每个人像的特征维度值 |
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：
| 序号 | 参数名 | 类型 | 说明 |
|---|---|---|---|
| 1 | ImageFileOrUrl | string | 可传递物理文件路径或网络url图片路径 |
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signaturestring signature = Convert.ToBase64String(new System.Security.Cryptography.HMACSHA1(Encoding.UTF8.GetBytes(ak_secret)).ComputeHash(Encoding.UTF8.GetBytes(stringToSign)));//得到 authorization headerstring 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：
{"face_num":1,"face_rect":[88,117,136,174],"face_prob":[1.0],"pose":[3.063825845718384,4.910022258758545,-0.9108244180679321],"landmark_num":105,"landmark":[96.68414306640625,170.6302947998047,145.2351531982422,168.97509765625,120.00067138671875,159.82064819335938,120.90005493164062,167.8106689453125,102.38734436035156,163.5238494873047,110.8702163696289,160.14938354492188,129.0392608642578,161.15672302246094,137.828125,163.6239013671875,104.79263305664062,169.93443298339844,112.78489685058594,168.4033660888672,129.03677368164062,167.66854858398438,137.09991455078125,168.75784301757812,169.3986053466797,170.36138916015625,213.41302490234375,166.6717071533203,191.11814880371094,159.33004760742188,191.36776733398438,168.1770782470703,175.71771240234375,165.05921936035156,183.17724609375,161.55892944335938,199.36065673828125,159.0685577392578,207.3585968017578,161.0877227783203,176.7578125,169.98834228515625,184.0217742919922,168.75424194335938,198.7238311767578,167.7462158203125,206.08677673339844,167.45741271972656,113.46994018554688,183.4793701171875,138.22927856445312,183.2007598876953,116.0947036743164,181.07772827148438,119.22150421142578,179.37924194335938,122.52190399169922,178.04869079589844,126.01652526855469,177.38088989257812,129.57440185546875,177.42849731445312,132.95672607421875,178.52862548828125,135.92669677734375,180.48812866210938,116.26364135742188,185.11109924316406,119.41836547851562,185.83798217773438,122.64004516601562,186.1615447998047,125.87516021728516,186.29660034179688,129.1121826171875,186.2530517578125,132.31192016601562,185.76229858398438,135.388427734375,184.75466918945312,174.51666259765625,183.63681030273438,198.0377960205078,182.55035400390625,176.80075073242188,181.1608428955078,179.55935668945312,179.22967529296875,182.68472290039062,177.97528076171875,186.02232360839844,177.52073669433594,189.3846893310547,177.7332305908203,192.6211700439453,178.67042541503906,195.62161254882812,180.20301818847656,177.26760864257812,185.10821533203125,180.269775390625,185.95538330078125,183.34695434570312,186.46804809570312,186.46473693847656,186.57894897460938,189.5694122314453,186.27333068847656,192.59494018554688,185.51333618164062,195.48876953125,184.34902954101562,157.83877563476562,184.7027587890625,159.61050415039062,211.51937866210938,158.72714233398438,198.09765625,159.09381103515625,221.50299072265625,141.2174072265625,221.5289306640625,175.7108154296875,220.9249267578125,134.406494140625,247.30429077148438,178.79208374023438,248.2057647705078,139.58602905273438,246.75558471679688,174.0359344482422,247.6773681640625,155.92715454101562,239.45440673828125,150.44760131835938,237.02993774414062,162.19281005859375,237.405029296875,142.0148162841797,241.4398956298828,170.80972290039062,242.2832794189453,138.14230346679688,244.28314208984375,145.93763732910156,238.66595458984375,166.70745849609375,239.47509765625,174.8702850341797,245.1505584716797,155.89956665039062,255.2139434814453,144.44430541992188,253.2183837890625,168.098876953125,254.3019256591797,139.20443725585938,250.64041137695312,150.0730743408203,254.76480102539062,162.06033325195312,255.51461791992188,173.65682983398438,251.62850952148438,155.9151611328125,243.98104858398438,156.12539672851562,248.637451171875,147.54718017578125,244.04049682617188,147.9060821533203,247.2126007080078,165.25906372070312,244.3838653564453,165.06532287597656,247.87339782714844,143.5548858642578,245.36361694335938,143.73641967773438,247.17507934570312,151.72662353515625,243.6070556640625,152.0291748046875,247.8469696044922,160.60391235351562,243.82192993164062,160.600830078125,248.3178253173828,169.71737670898438,245.84439086914062,169.54925537109375,247.71495056152344,85.55014038085938,188.23446655273438,220.13031005859375,186.76321411132812,159.31922912597656,289.3772888183594,97.57391357421875,254.536865234375,212.1865234375,249.98770141601562,88.65830993652344,221.46817016601562,218.63357543945312,218.26873779296875,124.95125579833984,280.3636779785156,190.25814819335938,276.92132568359375],"iris":[127.3431396484375,180.98782348632812,4.834486961364746,185.8067626953125,181.27252197265625,4.834486961364746],"gender":[1],"age":[36],"expression":[0],"glass":[0],"dense_fea_len":1024,"dense_fea":[0.046098366379737854,-6.71264308039099E-4,-0.04782719165086746,0.024575287476181984,-0.011956856586039066,0.00994771346449852,0.012042451649904251,-0.024469321593642235,-0.0693206638097763,-0.051547855138778687,-0.0380408801138401,0.003723258851096034,-0.016651300713419914,0.009410679340362549,-0.02220778726041317,-0.04585975408554077,-0.03430444002151489,0.04101677983999252,0.0061532920226454735,-0.022750407457351685,0.025490060448646545,0.009641796350479126,0.02027544192969799,-0.025795429944992065,0.00767499627545476,0.05247596651315689,-0.04112763702869415,-0.01143421046435833,-0.04646250605583191,-0.010038233362138271,-0.08515710383653641,-0.0512097105383873,0.010260507464408875,0.050140686333179474,-0.04481654241681099,0.024572938680648804,0.03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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：
https://help.aliyun.com/zh/viapi/developer-reference/billing-is-introduced-3?spm=a2c4g.11186623.0.i27
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。
