public async Task PostShoeInformation(shoemodel shoe)
{
await this.shoeTable.InsertAsync(shoe);
}
public async Task DeleteShoeInformation(shoemodel shoe)
{
await this.shoeTable.DeleteAsync(shoe);
}
async Task MakePredictionRequest(MediaFile file)
{
Processing.IsRunning = true;
Processing.IsVisible = true;
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "2c8600cda0a845ee834da798650406f7");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/1ddda278-879a-4c38-a935-ea3c153545a2/image?iterationId=45bf0bca-d790-4dd6-b00f-ec17f96abc20";
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);
int value;
if (response.IsSuccessStatusCode)
{
var responseString = await response.Content.ReadAsStringAsync();
JObject rss = JObject.Parse(responseString);
//Truncate values to labels in XAML
string tagId, tagName;
float probability = (float)rss["Predictions"][0]["Probability"];
//var Tag = from p in rss["Predictions"] select (string)p["Tag"];
if (int.TryParse((string)rss["Predictions"][0]["Tag"], out value))
{
tagId = (string)rss["Predictions"][0]["Tag"];
tagName = (string)rss["Predictions"][1]["Tag"];
}
else
{
tagName = (string)rss["Predictions"][0]["Tag"];
tagId = (string)rss["Predictions"][1]["Tag"];
}
shoemodel instance = new shoemodel();
instance.Id = tagId;
instance.Name = tagName;
///// option 1 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
if (probability > 0.5)
{
bool contained = true;
List <shoemodel> shoeInformation = await AzureManager.AzureManagerInstance.GetShoeInformation();
foreach (shoemodel x in shoeInformation)
{
if (((string)x.Id).Equals((string)instance.Id))
{
contained = true;
break;
}
else
{
contained = false;
}
}
if (contained.Equals(false))
{
PredictionLabel.Text = "Model ID: ";
PredictionLabel2.Text += tagId;
TagLabel.Text = "Model Name: ";
TagLabel2.Text = tagName;
await AzureManager.AzureManagerInstance.PostShoeInformation(instance);
}
else
{
PredictionLabel.Text = "Model ID: ";
PredictionLabel2.Text += tagId;
TagLabel.Text = "Model Name: ";
TagLabel2.Text = tagName;
}
}
else
{
PredictionLabel.Text = "The model is not found. Try other model.";
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//
//
// option 2 : Do probability check right after the line no.136 then do this.
//
//PredictionLabel.Text = "Model ID: ";
//PredictionLabel2.Text += tagId;
//TagLabel.Text = "Model Name: ";
//TagLabel2.Text = tagName;
//bool contained = true;
//List<shoemodel> shoeInformation = await AzureManager.AzureManagerInstance.GetShoeInformation();
//foreach (shoemodel x in shoeInformation)
//{
// if (((string)x.Id).Equals((string)instance.Id))
// {
// contained = true;
// }
// else
// {
// contained = false;
// }
//}
//if (contained.Equals(false))
//{
// await AzureManager.AzureManagerInstance.PostShoeInformation(instance);
//}
}
else
{
PredictionLabel.Text = "Something went wrong. Try again.";
}
Processing.IsRunning = false;
Processing.IsVisible = false;
//Get rid of file once we have finished using it
file.Dispose();
}
}
