public static bool CheckGarbage(String link) //Give a link to image file
{
string predictionKey = EcoHunt.API_Keys.AzurePredictionKey;
string endpoint = EcoHunt.API_Keys.AzureEndpoint;
string name = EcoHunt.API_Keys.AzurepublishedName;
string projectId = EcoHunt.API_Keys.AzureProjectID;
CustomVisionPredictionClient predictionAPI = new CustomVisionPredictionClient()
{
ApiKey = predictionKey,
Endpoint = endpoint
};
var uri = new Uri(link);
var imageUrl = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(link);
var result = predictionAPI.ClassifyImageUrl(new Guid(projectId), name, imageUrl);
var s = result.Predictions;
var x = s[0].TagName;
// Loop over each prediction and write out the results
if (result.Predictions[0].TagName.Equals("Garbage"))
{
return(true);
}
return(false);
}
public static void PerformPrediction(CustomVisionPredictionClient client, string imageUrl,
Guid projectId, string publishedName)
{
var url = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(imageUrl);
Console.WriteLine("Making a prediction:");
var result = client.ClassifyImageUrl(projectId, publishedName, url);
// Loop over each prediction and write out the results
foreach (var c in result.Predictions)
{
Console.WriteLine($"\t{c.TagName}: {c.Probability:P1}");
}
Console.ReadKey();
}
private void predictImage()
{
CustomVisionPredictionClient predictionApi = AuthenticatePrediction(endpoint, predictionKey);
Console.WriteLine("Making a prediction:");
Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl url = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(TextBox1.Text);
System.Guid guid = new Guid(projekctId);
var result = predictionApi.ClassifyImageUrl(guid, publishedModelName, url);
foreach (var c in result.Predictions)
{
Label1.Text = Label1.Text + c.TagName + ": " + c.Probability + " ";
}
}
public static void predictingImages(String imgUrl)
{
CustomVisionPredictionClient endpoint = new CustomVisionPredictionClient()
{
ApiKey = predictionKey,
Endpoint = SouthCentralUsEndpoint
};
// Make a prediction against the new project
//Console.WriteLine("Predicting:");
//Test Image to be predicted after training of classifier
projectID = new Guid("83867a3b-64ae-4c1d-994c-1fc75b7f0e5a");
Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl testImage = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(imgUrl);
var result = endpoint.PredictImageUrl(projectID, testImage);
// Loop over each prediction and write out the results
foreach (var c in result.Predictions)
{
Console.WriteLine($"\t{c.TagName}: {c.Probability:P1}");
}
}
