public void NetTwoFaceMatchTest()
{
Image image1 = null;
Image image2 = null;
RecognitionProvider baiduRecognitionProvider = new RecognitionProvider();
var data = baiduRecognitionProvider.NetTwoFaceMatch(image1, image2);
}
/// <summary>
/// 两张人脸对比
/// </summary>
/// <param name="sourceImage">原来的脸</param>
/// <param name="matchImage">需要对比的脸</param>
/// <returns></returns>
public Tuple <bool, bool, string> NetTowFaceMatchData(Image sourceImage, Image matchImage)
{
try
{
RecognitionProvider recognitionProvider = new RecognitionProvider();
JObject jsonData = recognitionProvider.NetTwoFaceMatch(sourceImage, matchImage);
jsonData.TryGetValue("error_code", out JToken errorCodeToken);
jsonData.TryGetValue("error_msg", out JToken errorMessageToken);
jsonData.TryGetValue("result", out JToken value);
float score = (float)value["score"];
bool sucess = false;
bool match = false;
if (80 < score)
{
match = true;
}
if (errorCodeToken.ToString() == "0")
{
sucess = true;
}
return(new Tuple <bool, bool, string>(match, sucess, errorMessageToken.ToString()));
}
catch (Exception e)
{
return(new Tuple <bool, bool, string>(false, false, e.ToString()));
}
}
/// <summary>
/// 根据数据库Match人脸
/// </summary>
/// <param name="image"></param>
/// <returns></returns>
public string NetFaceMatchData(Image image)
{
try
{
RecognitionProvider recognitionProvider = new RecognitionProvider();
//Task<JObject> @object = new Task<JObject>(baiduRecognitionProvider.NetFaceMatch(image) );
JObject jsonData = recognitionProvider.NetFaceMatch(image);
jsonData.TryGetValue("result", out JToken value);
JToken infoArry = value["user_list"];
string faceToken = value["face_token"].ToString();
string id = infoArry[0]["user_id"].ToString();
string group = infoArry[0]["group_id"].ToString();
string info = infoArry[0]["user_info"].ToString();
//info解析
JObject faceInfo = (JObject)JsonConvert.DeserializeObject(info);
//string[] faceInfo = info.Split('`');
string name = faceInfo["UserName"].ToString();
string text = faceInfo["value"].ToString();
string score = infoArry[0]["score"].ToString();
int so = (int)double.Parse(score);
string result = $"姓名：{name}\r\nID：{id}\r\n信息：{text}\r\n匹配度：{so}\r\n人脸标识：{faceToken}\r\n";
return(result);
}
catch (Exception ex)
{
string result = "识别出错：" + ex.ToString();
return(result);
}
}
public string NetRecognitionDataStr(Image image)
{
try
{
RecognitionProvider recognitionProvider = new RecognitionProvider();
//Task<JObject> @object = new Task<JObject>(baiduRecognitionProvider.NetFaceMatch(image) );
JObject jsonData = recognitionProvider.NetRecognition(image);
jsonData.TryGetValue("result", out JToken value);
JToken infoArry = value["face_list"];
string left = infoArry[0]["location"]["left"].ToString();
string top = infoArry[0]["location"]["top"].ToString();
string width = infoArry[0]["location"]["width"].ToString();
string height = infoArry[0]["location"]["height"].ToString();
string yaw = infoArry[0]["angle"]["yaw"].ToString();
string pitch = infoArry[0]["angle"]["pitch"].ToString();
string roll = infoArry[0]["angle"]["roll"].ToString();
string result = $"人脸位置：\r\n 距离左边线:{left}\r\n 距离上边线:{top}\r\n 宽度:{width}\r\n 高度:{height}\r\n人脸翻转:\r\n 俯仰角:{yaw}\r\n 平移角:{pitch}\r\n 翻滚角:{roll}";
return(result);
}
catch (Exception ex)
{
string result = "检测出错{" + ex + "}";
return(result);
}
}
public Tuple <bool, string> NetFaceRegisterData(Image image, string userName, JObject info)
{
try
{
RecognitionProvider recognitionProvider = new RecognitionProvider();
string groupId = "UsualUser";
string userId = ChineseToPinyin(userName).ToLower();
info.Add("UserName", userName);
JObject jsonData = recognitionProvider.NetFaceRegister(image, groupId, userId, info.ToString());
jsonData.TryGetValue("error_code", out JToken errorCodeToken);
jsonData.TryGetValue("error_msg", out JToken errorMessageToken);
bool mark = true;
string message = errorMessageToken.ToString();
//int errorCode = int.Parse(errorCodeToken.ToString());
string errorCode = errorCodeToken.ToString();
switch (errorCode)
{
case "223105":
mark = false;
break;
default:
mark = true;
break;
}
return(new Tuple <bool, string>(mark, message));
}
catch (Exception ex) { return(new Tuple <bool, string>(false, ex.ToString())); }
}
public void NetFaceRegisterTest()
{
Image image = null;
string id = "id";
string name = "姓名";
string group = "UsualUser";
string info = "信息";
string faceInfo = name + "`" + info;
Task <JObject> task = new Task <JObject>(
() =>
{
RecognitionProvider baiduRecognitionProvider = new RecognitionProvider();
return(baiduRecognitionProvider.NetFaceRegister(image, group, id, faceInfo));
});
task.Start();
task.Wait();
var aaa = task.Result;
}
public string GetData(string userName)
{
RecognitionProvider recognitionProvider = new RecognitionProvider();
string userId = ChineseToPinyin(userName).ToLower();
JObject jsonData = recognitionProvider.GetInfo(userId);
if (jsonData == null)
{
return("查询失败");
}
jsonData.TryGetValue("result", out JToken value);
JToken infoArry = value["user_list"];
string info = infoArry[0]["user_info"].ToString();
JObject faceInfo = (JObject)JsonConvert.DeserializeObject(info);
string name = faceInfo["UserName"].ToString();
string text = faceInfo["value"].ToString();
return($"姓名:{name}\r\n信息:{text}");
}
/// <summary>
/// 人脸识别
/// </summary>
/// <param name="image"></param>
/// <returns></returns>
public Dictionary <string, string> NetRecognitionData(Image image)
{
try
{
RecognitionProvider recognitionProvider = new RecognitionProvider();
//Task<JObject> @object = new Task<JObject>(baiduRecognitionProvider.NetFaceMatch(image) );
JObject jsonData = recognitionProvider.NetRecognition(image);
jsonData.TryGetValue("result", out JToken value);
JToken infoArry = value["face_list"];
Dictionary <string, string> result = new Dictionary <string, string>();
//人脸数量，现在只用1
result.Add("faceNum", value["face_num"].ToString());
//人脸标识
result.Add("faceToken", infoArry[0]["face_token"].ToString());
//人脸位置
JToken location = infoArry[0]["location"];
result.Add("left", location["left"].ToString());
result.Add("top", location["top"].ToString());
result.Add("width", location["width"].ToString());
result.Add("height", location["height"].ToString());
//年龄
result.Add("age", infoArry[0]["age"].ToString());
//美丑
result.Add("beauty", infoArry[0]["beauty"].ToString());
//性别
//JToken gender = infoArry[0]["gender"];
result.Add("gender", infoArry[0]["gender"]["type"].ToString());
return(result);
}
catch (Exception ex)
{
string info = "检测出错{" + ex + "}";
Dictionary <string, string> result = new Dictionary <string, string>();
result.Add("错误消息：", info);
return(result);
}
}
/// <summary>
/// 登录验证
/// </summary>
/// <param name="image"></param>
/// <returns></returns>
public bool Login(Image image)
{
RecognitionProvider recognitionProvider = new RecognitionProvider();
bool loc = false;
//Task<JObject> @object = new Task<JObject>(baiduRecognitionProvider.NetFaceMatch(image) );
JObject jsonData = recognitionProvider.NetFaceMatch(image);
jsonData.TryGetValue("result", out JToken value);
JToken infoArry = value["user_list"];
string info = infoArry[0]["user_info"].ToString();
//info解析
JObject faceInfo = (JObject)JsonConvert.DeserializeObject(info);
string name = faceInfo["UserName"].ToString();
string score = infoArry[0]["score"].ToString().Substring(0, 5);
double ss = double.Parse(score);
if (name == "王宁" && ss >= 70)
{
loc = true;
}
return(loc);
}
public void NetRecognitionTest()
{
Image image = null;
RecognitionProvider baiduRecognitionProvider = new RecognitionProvider();
var data = baiduRecognitionProvider.NetRecognition(image);
}
