public async Task <JsonResult> UploadImage()
{
try
{
string output = string.Empty;
//get the image file from the request, I assume only one file
var fileContent = Request.Form.Files[0];
if (fileContent != null && fileContent.Length > 0)
{
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(string.Empty);
// Request headers, include your own subscription key
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", subscriptionKey);
var uri = "https://westcentralus.api.cognitive.microsoft.com/face/v1.0/detect" + queryString;
HttpResponseMessage response;
//copy the file into a stream and into a byte array
using (var stream = new MemoryStream())
{
fileContent.CopyTo(stream);
byte[] byteData = stream.ToArray();
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
//post to the emotion API
response = await client.PostAsync(uri, content);
output = await response.Content.ReadAsStringAsync();
}
}
}
//convert the raw response string into an OutPutEmotion class
OutputEmotion outputEmotion = ConvertToEmotionModel(output);
//return as Json
return(Json(JsonConvert.SerializeObject(outputEmotion)));
}
catch (Exception)
{
Response.StatusCode = (int)HttpStatusCode.BadRequest;
return(Json("Upload failed"));
}
}
private static OutputEmotion ConvertToEmotionModel(string output)
{
//first, deserialize using the Emotion class
var emotions = JsonConvert.DeserializeObject <Emotion[]>(output);
//next, find the highest scoring emotion
var primaryEmotion = emotions[0].scores.FirstOrDefault(x => x.Value == emotions[0].scores.Values.Max()).Key;
//put these in a new model class
OutputEmotion outputEmotion = new OutputEmotion
{
faceRectangle = emotions[0].faceRectangle,
primaryEmotion = primaryEmotion
};
return(outputEmotion);
}
