async Task MakePredictionRequest(MediaFile file)
{
Contract.Ensures(Contract.Result <Task>() != null);
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "0c1fe7a71c62415684f9bd5d37d7541a");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/5dbc398e-f411-40eb-be83-3e50d121b31c/image?iterationId=7efce6c6-d54c-4194-b0cf-e9508c10e3e6";
HttpResponseMessage response;
byte[] byteData = GetImageAsByteArray(file);
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
response = await client.PostAsync(url, content);
if (response.IsSuccessStatusCode)
{
var responseString = await response.Content.ReadAsStringAsync();
JObject rss = JObject.Parse(responseString);
//Querying with LINQ
//Get all Prediction Values
var Probability = from p in rss["Predictions"] select(int) p["Probability"];
var Tag = from p in rss["Predictions"] select(string) p["Tag"];
List <string> list = new List <string>();
//Truncate values to labels in XAML
foreach (var item in Tag)
{
list.Add(item);
TagLabel.Text += item + ": \n";
}
foreach (var item in Probability)
{
PredictionLabel.Text += item + "\n";
}
Shapedetail model = new Shapedetail()
{
Tag = list[0]
};
await AzureManager.AzureManagerInstance.PostShapeInformation(model);
//EvaluationModel responseModel = JsonConvert.DeserializeObject<EvaluationModel>(responseString);
//double max = responseModel.Predictions.Max(m => m.Probability);
//TagLabel.Text = (max >= 0.5) ? "Shape" : "Not a Shape";
}
//Get rid of file once we have finished using it
file.Dispose();
}
}
public async Task PostShapeInformation(Shapedetail ShapedetailInformation)
{
await this.ShapedetailInformation.InsertAsync(ShapedetailInformation);
}