async Task MakePredictionRequest(MediaFile file)
{
Contract.Ensures(Contract.Result <Task>() != null);
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "a51ac8a57d4e4345ab0a48947a4a90ac");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/4da1555c-14ca-4aaf-af01-d6e1e97e5fa6/image?iterationId=7bc76035-3825-4643-917e-98f9d9f79b71";
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();
EvaluationModel responseModel = JsonConvert.DeserializeObject <EvaluationModel>(responseString);
double max = responseModel.Predictions.Max(m => m.Probability);
TagLabel.Text = (max >= 0.5) ? "Hotdog" : "Not hotdog";
}
//Get rid of file once we have finished using it
file.Dispose();
}
}
async Task MakePredictionRequest(MediaFile file)
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "fccf9a9570824165a73e1ae985ea3a3f");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/9fd6cd33-960c-4582-b989-4f0afb9a8c52/image?iterationId=3ade55a7-99cd-43da-8a8b-d16839b3899e";
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();
EvaluationModel responseModel = JsonConvert.DeserializeObject <EvaluationModel>(responseString);
double max = responseModel.Predictions.Max(m => m.Probability);
TagLabel.Text = (max >= 0.5) ? "Hotdog:" : "Not hotdog:";
PredictionLabel.Text = max.ToString() + "%";
}
//Get rid of file once we have finished using it
file.Dispose();
}
}
async Task MakePredictionRequest(MediaFile file)
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "0045ceeffcb84ab996d74b02f31e1b9d");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/84b2f69a-de27-4f32-b610-a12ff5f6c27a/image?iterationId=28883c94-614f-4e19-a328-f0a08d562197";
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();
EvaluationModel responseModel = JsonConvert.DeserializeObject <EvaluationModel>(responseString);
double max = responseModel.Predictions.Max(m => m.Probability);
TagLabel.Text = (max >= 0.5) ? "Mobile" : "Not Mobile";
}
//Get rid of file once we have finished using it
file.Dispose();
}
}
async Task MakePredictionRequest(MediaFile file)
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "212601d8ea68473e95e11d756d23a745");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/2ff50d41-5b0a-419c-b01c-74978fb61f1e/image?iterationId=ce1d2973-8243-4360-9fa6-56d4b7979a11";
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();
EvaluationModel responseModel = JsonConvert.DeserializeObject <EvaluationModel>(responseString);
double max = responseModel.Predictions.Max(m => m.Probability);
List <Prediction> predictions = responseModel.Predictions;
string tag = "";
foreach (Prediction p in predictions)
{
if (p.Probability == max)
{
tag = p.Tag;
}
}
if (max >= 0.5)
{
TagLabel.Text = tag;
AzureManager.AzureManagerInstance.setTag(tag);
}
else
{
tag = "Car not found";
AzureManager.AzureManagerInstance.setTag(tag);
TagLabel.Text = tag;
}
}
file.Dispose();
}
}
async Task MakePredictionRequest(MediaFile file)
{
MyActivityIndicator.IsRunning = true;
Contract.Ensures(Contract.Result <Task>() != null);
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "4acc8969a66e4e6a8566c55658bbe9d2");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v2.0/Prediction/d1a68296-d332-4042-95e6-b7e27d9108ec/image?iterationId=6a37a80b-d46b-4cb9-ba20-ff9d2d586972";
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();
EvaluationModel responseModel = JsonConvert.DeserializeObject <EvaluationModel>(responseString);
double max = responseModel.Predictions.Max(m => m.Probability);
if (max >= 0.5)
{
TagLabel.Text = "There is a heavy traffic in TinFactory";
await CrossTextToSpeech.Current.Speak(TagLabel.Text);
await Navigation.PushAsync(new redtrafficlightpage());
CrossLocalNotifications.Current.Show("Alert", "We have send the informaton to local concen autheroties");
}
else
{
TagLabel.Text = " There is no heavy Traffic in Tin Factory";
await CrossTextToSpeech.Current.Speak(TagLabel.Text);
await Navigation.PushAsync(new normaltrafficlightpage());
}
MyActivityIndicator.IsRunning = false;
}
//Get rid of file once we have finished using it
file.Dispose();
}
}
async Task MakePredictionRequest(MediaFile file)
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "2b785ad623f047a0a511d9e14d9e7f2c");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/226891aa-f1db-4015-a7a4-c9c383f3e158/image?iterationId=91ae0a9d-0b1d-447a-883a-76f8baf6de2e";
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)
{
TagLabel.Text = "";
PredictionLabel.Text = "";
var responseString = await response.Content.ReadAsStringAsync();
EvaluationModel responseModel = JsonConvert.DeserializeObject <EvaluationModel>(responseString);
double max = responseModel.Predictions.Max(m => m.Probability);
JObject rss = JObject.Parse(responseString);
//Querying with LINQ
//Get all Prediction Values
var Probability = from p in rss["Predictions"] select(string) p["Probability"];
var Tag = from p in rss["Predictions"] select(string) p["Tag"];
//Truncate values to labels in XAML
foreach (var item in Tag)
{
TagLabel.Text += item + ": \n";
}
foreach (var item in Probability)
{
PredictionLabel.Text += item + "\n";
}
}
//Get rid of file once we have finished using it
file.Dispose();
}
}
async Task MakePredictionRequest(MediaFile file)
{
Contract.Ensures(Contract.Result <Task>() != null);
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "4acc8969a66e4e6a8566c55658bbe9d2");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.1/Prediction/ce6463c9-a4b5-4af6-aed2-18babd9f8483/image?iterationId=1ddec163-8098-4387-b095-fa55183c512e";
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();
EvaluationModel responseModel = JsonConvert.DeserializeObject <EvaluationModel>(responseString);
double max = responseModel.Predictions.Max(m => m.Probability);
if (max >= 0.5)
{
TagLabel.Text = "There is a heavy traffic in TinFactory";
await CrossTextToSpeech.Current.Speak(TagLabel.Text);
await Navigation.PushAsync(new redtrafficlightpage());
CrossLocalNotifications.Current.Show("Alert", "We have send the informaton to local concen autheroties");
}
else
{
TagLabel.Text = " There is no heavy Traffic in Tin Factory";
await CrossTextToSpeech.Current.Speak(TagLabel.Text);
await Navigation.PushAsync(new normaltrafficlightpage());
}
}
//Get rid of file once we have finished using it
file.Dispose();
}
}
async Task MakePredictionRequest(MediaFile file)
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "c03a2b1920814aa6b76f909335d6caac");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/6f01caf1-69d3-47f6-bebf-7fc26900a96e/image?iterationId=464a5036-2f1e-4d20-b92e-0631e294656f";
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);
string tag = "";
if (response.IsSuccessStatusCode)
{
var responseString = await response.Content.ReadAsStringAsync();
EvaluationModel responseModel = JsonConvert.DeserializeObject <EvaluationModel>(responseString);
double max = responseModel.Predictions.Max(m => m.Probability);
List <Prediction> predictions = responseModel.Predictions;
foreach (Prediction p in predictions)
{
if (p.Probability == max)
{
tag = p.Tag;
}
}
}
await getDetails(tag);
file.Dispose();
}
}
