protected async void btnVisionApi_Click(object sender, EventArgs e)
{
HttpClient client = new HttpClient();
// Request headers.
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", subscriptionKey);
// Request parameters. A third optional parameter is "details".
string requestParameters = "returnFaceId=true&returnFaceLandmarks=false&returnFaceAttributes=age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise";
// Assemble the URI for the REST API Call.
string uri = "https://eastasia.api.cognitive.microsoft.com/face/v1.0/detect" + "?" + requestParameters;
HttpResponseMessage response;
// Request body. Posts a locally stored JPEG image.
string filename = Path.GetFileName(fupImage.FileName);
string extension = Path.GetExtension(fupImage.FileName);
fupImage.PostedFile.SaveAs(Server.MapPath("~/InstagramFiles/" + filename));
byte[] byteData = CognativeService.GetImageAsByteArray(Server.MapPath("~/InstagramFiles/" + filename));
using (ByteArrayContent content = new ByteArrayContent(byteData))
{
// This example uses content type "application/octet-stream".
// The other content types you can use are "application/json" and "multipart/form-data".
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
// Execute the REST API call.
response = await client.PostAsync(uri, content);
// Get the JSON response.
string contentString = await response.Content.ReadAsStringAsync();
// Display the JSON response.
divShowApiData.InnerHtml = CognativeService.JsonPrettyPrint(contentString);
// RootObject
JavaScriptSerializer javaScriptSerializer = new JavaScriptSerializer();
List <RootObject> faceApiValue = (List <RootObject>)javaScriptSerializer.Deserialize(divShowApiData.InnerHtml, typeof(List <RootObject>));
divShowSpecificData.InnerHtml = @"<br/>totalFaces : " + faceApiValue.Count() +
"<br/>Face ID : " + faceApiValue[0].faceId +
"<br/>Age : " + faceApiValue[0].faceAttributes.age +
"<br/>Gender : " + faceApiValue[0].faceAttributes.gender +
"<br/>Glasses/No Glasses : " + faceApiValue[0].faceAttributes.glasses;
fupImage.Dispose();
}
}
public async void CognativeFace(string postID)
{
const string subscriptionKey = "54c11b3999a149e9b1a721961478aa81";
string Message = "This Post is Already Saved by Cognative Modiator/Vision/Face Api";
JavaScriptSerializer javaScriptSerializer = new JavaScriptSerializer();
PostRepository repositoryPost = new PostRepository();
Post post = repositoryPost.getPostByID(postID);
if (post != null)
{
MetaDataRepository repositoryMetaData = new MetaDataRepository();
MetaData metaData = repositoryMetaData.getMetaDataByPostID(post.Post_ID);
if (metaData == null)
{
HttpClient client = new HttpClient();
// Request headers.
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", subscriptionKey);
// Request parameters. A third optional parameter is "details".
string requestParameters = "returnFaceId=true&returnFaceLandmarks=false&returnFaceAttributes=age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise";
// Assemble the URI for the REST API Call.
string uri = "https://eastasia.api.cognitive.microsoft.com/face/v1.0/detect" + "?" + requestParameters;
HttpResponseMessage response;
byte[] byteData = CognativeService.GetImageAsByteArray(Server.MapPath("~/InstagramFiles/" + post.Post_FileName));
using (ByteArrayContent content = new ByteArrayContent(byteData))
{
// This example uses content type "application/octet-stream".
// The other content types you can use are "application/json" and "multipart/form-data".
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
// Execute the REST API call.
response = await client.PostAsync(uri, content);
// Get the JSON response.
string contentString = await response.Content.ReadAsStringAsync();
// Display the JSON response.
//divShowApiData.InnerHtml = CognativeService.JsonPrettyPrint(contentString);
//JavaScriptSerializer javaScriptSerializer = new JavaScriptSerializer();
List <RootObject> faceApiValue = (List <RootObject>)javaScriptSerializer.Deserialize(CognativeService.JsonPrettyPrint(contentString), typeof(List <RootObject>));
if (faceApiValue != null)
{
metaData.Post_ID = post.Post_ID;
metaData.Face_Gender = faceApiValue[0].faceAttributes.gender;
metaData.Face_Age = faceApiValue[0].faceAttributes.age;
if (faceApiValue[0].faceRectangle.width > 0)
{
metaData.Face_Rectangle = faceApiValue[0].faceRectangle.width + "," + faceApiValue[0].faceRectangle.height + " " + faceApiValue[0].faceRectangle + " " + faceApiValue[0].faceRectangle.left.ToString();
}
Message = "This Post is Saved now by Cognative Modiator/Vision/Face Api";
}
}
}
Context.Response.Clear();
Context.Response.ContentType = "application/json";
Context.Response.AddHeader("content-length", javaScriptSerializer.Serialize(Message).Length.ToString());
Context.Response.Flush();
Context.Response.Write(javaScriptSerializer.Serialize(Message));
HttpContext.Current.ApplicationInstance.CompleteRequest();
}
}
