public async Task <FacialRecognitionResponse> ReturnFace(Bitmap bitmap, string path)
{
byte[] bitmapData;
var stream = new MemoryStream();
bitmap.Compress(Bitmap.CompressFormat.Jpeg, 0, stream);
bitmapData = stream.ToArray();
var fileContent = new ByteArrayContent(bitmapData);
fileContent.Headers.ContentType = MediaTypeHeaderValue.Parse("multiform/form-data");
fileContent.Headers.ContentDisposition = new ContentDispositionHeaderValue("form-data")
{
Name = "file",
FileName = path
};
string boundary = "---8d0f01e6b3b5dafaaadaad";
MultipartFormDataContent multipartContent = new MultipartFormDataContent(boundary);
multipartContent.Add(fileContent);
HttpClient httpClient = new HttpClient();
httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
HttpResponseMessage response = await httpClient.PostAsync("http://face-webapi.azurewebsites.net/api/Face/Upload", multipartContent);
if (response.IsSuccessStatusCode)
{
string content = await response.Content.ReadAsStringAsync();
var json = JsonValue.Parse(content);
var data = json["faces"][0];
var face = new FacialRecognitionResponse();
foreach (var dataItem in data)
{
if (data["candidates"].Count == 0)
{
await RegisterFace(json["key"]);
}
else if (data["candidates"].Count > 0)
{
face.IsAMatch = true;
var candidate = data["candidates"][0];
face.Name = candidate["personName"];
}
else
{
face.IsAMatch = false;
}
}
return(face);
//return content;
}
return(null);
}
private void populateFacialMatch(FacialRecognitionResponse response)
{
TextView NameOfResponse = FindViewById <TextView>(Resource.Id.NameOfResponse);
string responseString = "Match: " + response.Name;
NameOfResponse.Text = responseString;
NameOfResponse.SetTextSize(ComplexUnitType.Dip, 21f);
}
