public String Recognition_Method(String imageFilePath)
{
//回傳整個結果，先清空
String Emotion_Result = null;
//Clean return_finally_result，因為照片如果沒有偵測到臉部，必須要清空這值，不然上次紀錄會存在
return_finally_result = null;
var client = new HttpClient();
// Request headers - replace this example key with your valid key.
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "573bb4b3c5444fa2b721d4c962878b29");
string uri = "https://westcentralus.api.cognitive.microsoft.com/face/v1.0";
HttpResponseMessage response;
string responseContent;
// Request body. Try this sample with a locally stored JPEG image.
byte[] byteData = GetImageAsByteArray(imageFilePath);
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
response = client.PostAsync(uri, content).Result;
responseContent = response.Content.ReadAsStringAsync().Result;
}
// A peek at the raw JSON response.
// Console.WriteLine(responseContent);
// Processing the JSON into manageable objects.
JToken rootToken = JArray.Parse(responseContent).First;
// First token is always the faceRectangle identified by the API.
JToken faceRectangleToken = rootToken.First;
// Second token is all emotion scores.
JToken scoresToken = rootToken.Last;
// Show all face rectangle dimensions
JEnumerable <JToken> faceRectangleSizeList = faceRectangleToken.First.Children();
foreach (var size in faceRectangleSizeList)
{
//Console.WriteLine(size);
}
// Show all scores
JEnumerable <JToken> scoreList = scoresToken.First.Children();
//Get Name and Value use JProperty. ex JProperty prop in scoreList.OfType<JProperty>()
//取得Json的名字、值，需要用 JProperty prop in scoreList.OfType<JProperty>()
//($"{prop.Value}") 把值拿出來
foreach (JProperty prop in scoreList.OfType <JProperty>())
{
//先取得Json後面的字串值
//Get String Value
String Emotion_Value = ($"{prop.Value}");
//Get String Name
String Emotion_Name = ($"{prop.Name}");
//切割字串 取第一個 (從第幾個 ， 取幾位)
String Cut_String_word = Emotion_Value.Substring(0, 1);
//將切割後的第一個字，轉為數值，在來進行判斷，如果大於0.99 就等於0，為了去除不必要的數據
int Compare_Numbers = Convert.ToInt32(Cut_String_word);
if (Compare_Numbers > Emotion_Threshold)
{
Emotion_Value = "0";
//使用委派，呼叫Emotion.cs 把雲端回傳資料傳到，Emotion.cs裡面，所註冊的委派方法
//舊方法，主要用委派方式，傳到有註冊委派方法的方法裡
//e_Delegate.Invoke(Emotion_Name, Emotion_Value);
//新方法，直接創一個字串，將字串一值疊上去，結束後直接回傳字串
Emotion_Result += Emotion_Name + ":" + Emotion_Value + Environment.NewLine;
}
else
{ //使用委派，呼叫Emotion.cs 把雲端回傳資料傳到，Emotion.cs裡面，所註冊的委派方法
//舊方法，主要用委派方式，傳到有註冊委派方法的方法裡
//e_Delegate.Invoke(Emotion_Name, Emotion_Value);
//新方法，直接創一個字串，將字串一值疊上去，結束後直接回傳字串
Emotion_Result += Emotion_Name + ":" + Emotion_Value + Environment.NewLine;
String Cut_Second_Word = Emotion_Value.Substring(2, 1);//要從第二位開始取，因為前面有小數點
int Compare_Second_Number = Convert.ToInt32(Cut_Second_Word);
//Select maximum number from data
if (Compare_Second_Number >= Emotion_Max_Value)
{
Console.WriteLine(Emotion_Name);
return_finally_result = Emotion_Name;
}
}
}
foreach (var score in scoreList)
{
Console.WriteLine(score);
}
//return responseContent;
//新方法，直接創一個字串，將字串一值疊上去，結束後直接回傳字串
return(Emotion_Result);
}
