/// <summary>
/// 人脸匹配
/// </summary>
/// <param name="image"></param>
/// <returns></returns>
public JObject NetFaceMatch(Image image)
{
try
{
var client = new Baidu.Aip.Face.Face(API_KEY, SECRET_KEY)
{
Timeout = 60000 // 修改超时时间
};
//图片转为Base64
string base64 = ImageToBase64(image);
string imageType = "BASE64";
List <string> groupList = new List <string>();
groupList.Add("UsualUser");
groupList.Add("StarUser");
string group = string.Join(",", groupList.ToArray());
JObject result = client.Search(base64, imageType, group);
return(result);
}
catch (Exception ex)
{
MessageBox.Show("连接人脸识别API出错：" + ex);
return(new JObject());
}
}
protected static void Search()
{
var client = new Baidu.Aip.Face.Face(API_KEY, SECRET_KEY);
client.Timeout = 60000; // 修改超时时间
var image = "";
using (var s = new FileStream("C:/Users/admin/Desktop/微信图片_20190107152711.jpg", FileMode.Open))
{
image = ComFunc.StreamToBase64String(s);
}
var imageType = "BASE64";
var groupIdList = "F001";
// 调用人脸搜索，可能会抛出网络等异常，请使用try/catch捕获
var result = client.Search(image, imageType, groupIdList);
Console.WriteLine(result);
// 如果有可选参数
// var options = new Dictionary<string, object>{
// {"quality_control", "NORMAL"},
// {"liveness_control", "LOW"},
// {"user_id", "233451"},
// {"max_user_num", 3}
//};
// // 带参数调用人脸搜索
// result = client.Search(image, imageType, groupIdList, options);
// Console.WriteLine(result);
}
/// <summary>
/// 刷脸识别
/// </summary>
/// <param name="reqData"></param>
/// <returns></returns>
public XAIResFind Find(XAIReqFind reqData)
{
LogModule.Info("XAI->BIDU:Find--->入参：" + reqData.ToJson());
string resJson;
try
{
resJson = client.Search(reqData.Image.Split(new string[] { ";base64," }, StringSplitOptions.RemoveEmptyEntries)[1], "BASE64", reqData.GroupId).ToJson();
}
catch (Exception ex)
{
throw new XAIException(7100, "请求人脸识别服务异常，请重试！" + ex.Message);
}
LogModule.Info("XAI->BIDU:Find--->出参：" + resJson);
var res = resJson.ToEntity <BIDUResponse>();
if (res.error_code != 0)
{
throw new XAIException(7100, typeof(BIDUErrorCodeEnum).GetEnumName(res.error_code.ToInt()));
}
res.result.user_list = res.result.user_list.Where(w => w.score > 80).OrderByDescending(o => o.score).ToList();
if (res.result.user_list.Count() == 0)
{
throw new XAIException(7101, "未识别出有效用户");
}
return(new XAIResFind()
{
UserId = res.result.user_list.OrderByDescending(w => w.score).First().user_id
});
}
public static BaseResponse <FaceSearchResult> FaceSearch(byte[] imageByte, string[] groupIds, SearchFaceOption option = null)
{
if (imageByte.Length > 1024 * 1024 * 10)
{
throw new Exception("图片大小必须小于10Mb");
}
var imageBase64 = Convert.ToBase64String(imageByte);
return(Execute <FaceSearchResult>(client.Search(imageBase64, ImageType, string.Join(",", groupIds), option?.Options)));
}
/// <summary>
/// 查找用户
/// </summary>
/// <param name="bytes"></param>
/// <returns></returns>
public JObject SereachUserByImage(byte[] bytes)
{
var client = new Baidu.Aip.Face.Face(API_KEY, SECRET_KEY);
client.Timeout = 60000; // 修改超时时间
var image = Convert.ToBase64String(bytes);
var imageType = "BASE64";
var options = new Dictionary <string, object> {
{ "face_field", "age,beauty,expression,face_shape,gender,glasses,landmark,landmark72,landmark150,race,quality,eye_status,emotion,face_type" },
{ "max_user_num", 3 },
};
var ret = client.Search(image, imageType, groupId, options);
return(ret);
}
public String FaceServices(dynamic obj)
{
try
{
string id = obj.id.ToString();
string place = obj.place.ToString();
string image1 = obj.image1.ToString();
string groupid = obj.groupid.ToString();
m_logger.Info("FaceServices调用开始:" + id + "," + place);
var client = new Baidu.Aip.Face.Face(ApiKey, SecretKey);
client.Timeout = timeout;
var result = client.Search(image1, "BASE64", groupid);
m_logger.Info(id + "," + place + "FaceServices调用结束：" + result.ToString());
return(result.ToString());
}
catch (Exception ex)
{
m_logger.Error("FaceServices" + ex);
return("");
}
}
/// <summary>
/// 人脸识别
/// </summary>
/// <returns></returns>
public JsonResult FaceDistinguish()
{
// 设置APPID/AK/SK
var API_KEY = "mxzzu1vLxca9KjnLwBCgOZs5"; //你的 Api Key
var SECRET_KEY = "D9CkVbdziW9GrHiAZDENt8rOf0tVw9im"; //你的 Secret Key
var client = new Baidu.Aip.Face.Face(API_KEY, SECRET_KEY);
client.Timeout = 60000; // 修改超时时间
var imageType = "BASE64"; //BASE64 URL
string imgData64 = Request["imgData64"];
imgData64 = imgData64.Substring(imgData64.IndexOf(",") + 1); //将‘，’以前的多余字符串删除
ResultInfo result = new ResultInfo();
try
{
var groupId = "TestGroupA";
var userId = "TestUserA";
var result323 = client.Detect(imgData64, imageType);
//活体检测阈值是多少
//0.05 活体误拒率：万分之一；拒绝率：63.9%
//0.3 活体误拒率：千分之一；拒绝率：90.3%
//0.9 活体误拒率：百分之一；拒绝率：97.6%
//1误拒率: 把真人识别为假人的概率. 阈值越高，安全性越高, 要求也就越高, 对应的误识率就越高
//2、通过率=1-误拒率
//所以你thresholds参数返回 和 face_liveness 比较大于推荐值就是活体
////活体判断
var faces = new JArray
{
new JObject
{
{ "image", imgData64 },
{ "image_type", "BASE64" }
}
};
var Living = client.Faceverify(faces); //活体检测交互返回
var LivingJson = Newtonsoft.Json.JsonConvert.SerializeObject(Living);
var LivingObj = Newtonsoft.Json.JsonConvert.DeserializeObject(LivingJson) as JObject;
if (LivingObj["error_code"].ToString() == "0" && LivingObj["error_msg"].ToString() == "SUCCESS")
{
var Living_result = Newtonsoft.Json.JsonConvert.DeserializeObject(LivingObj["result"].ToString()) as JObject;
var Living_list = Living_result["thresholds"];
double face_liveness = Convert.ToDouble(Living_result["face_liveness"]);
var frr = Newtonsoft.Json.JsonConvert.SerializeObject(Living_list.ToString());
var frr_1eObj = Newtonsoft.Json.JsonConvert.DeserializeObject(Living_list.ToString()) as JObject;
double frr_1e4 = Convert.ToDouble(frr_1eObj["frr_1e-4"]);
if (face_liveness < frr_1e4)
{
result.info = "识别失败：这是相片之类的非活体！";
return(Json(result, JsonRequestBehavior.AllowGet));
}
}
//首先查询是否存在人脸
var result2 = client.Search(imgData64, imageType, groupId);
var strJson = Newtonsoft.Json.JsonConvert.SerializeObject(result2);
var o2 = Newtonsoft.Json.JsonConvert.DeserializeObject(strJson) as JObject;
//判断是否存在当前人脸，相识度是否大于80
if (o2["error_code"].ToString() == "0" && o2["error_msg"].ToString() == "SUCCESS")
{
var result_list = Newtonsoft.Json.JsonConvert.DeserializeObject(o2["result"].ToString()) as JObject;
var user_list = result_list["user_list"];
var Obj = JArray.Parse(user_list.ToString());
foreach (var item in Obj)
{
//80分以上可以判断为同一人，此分值对应万分之一误识率
var score = Convert.ToInt32(item["score"]);
if (score > 80)
{
result.info = result2.ToString();
result.res = true;
result.startcode = 221;
return(Json(result, JsonRequestBehavior.AllowGet));
}
}
}
else
{
result.info = strJson.ToString();
result.res = false;
return(Json(result, JsonRequestBehavior.AllowGet));
}
}
catch (Exception e)
{
result.info = e.Message;
}
return(Json(result, JsonRequestBehavior.AllowGet));
}
/// <summary>
/// 人脸注册
/// </summary>
/// <returns></returns>
public JsonResult FaceRegistration()
{
// 设置APPID/AK/SK
var API_KEY = "mxzzu1vLxca9KjnLwBCgOZs5"; //你的 Api Key
var SECRET_KEY = "D9CkVbdziW9GrHiAZDENt8rOf0tVw9im"; //你的 Secret Key
var client = new Baidu.Aip.Face.Face(API_KEY, SECRET_KEY);
client.Timeout = 60000; // 修改超时时间
var imageType = "BASE64"; //BASE64 URL
string imgData64 = Request["imgData64"];
imgData64 = imgData64.Substring(imgData64.IndexOf(",") + 1); //将‘，’以前的多余字符串删除
ResultInfo result = new ResultInfo();
try
{
//注册人脸
var groupId = "TestGroupA";
var userId = "TestUserA";
//首先查询是否存在人脸
var result2 = client.Search(imgData64, imageType, userId); //会出现222207（未找到用户）这个错误
var strJson = Newtonsoft.Json.JsonConvert.SerializeObject(result2);
var o2 = Newtonsoft.Json.JsonConvert.DeserializeObject(strJson) as JObject;
//判断是否存在当前人脸，相识度是否大于88
if (o2["error_code"].ToString() == "0" && o2["error_msg"].ToString() == "SUCCESS")
{
var result_list = Newtonsoft.Json.JsonConvert.DeserializeObject(o2["result"].ToString()) as JObject;
var user_list = result_list["user_list"];
var Obj = JArray.Parse(user_list.ToString());
foreach (var item in Obj)
{
//88分以上可以判断为同一人，此分值对应万分之一误识率
var score = Convert.ToInt32(item["score"]);
if (score > 88)
{
result.info = result2.ToString();
result.res = true;
result.startcode = 221;
return(Json(result, JsonRequestBehavior.AllowGet));
}
}
}
var guid = Guid.NewGuid();
// 调用人脸注册，可能会抛出网络等异常，请使用try/catch捕获
// 如果有可选参数
var options = new Dictionary <string, object> {
{ "user_info", guid }
};
// 带参数调用人脸注册
var resultData = client.UserAdd(imgData64, imageType, groupId, userId, options);
result.info = resultData.ToString();
result.res = true;
result.other = guid.ToString();
}
catch (Exception e)
{
result.info = e.Message;
}
return(Json(result, JsonRequestBehavior.AllowGet));
}