private async Task IdentifyImageAsync(MediaFile image)
{
if (Connectivity.NetworkAccess == NetworkAccess.None)
{
UserDialogs.Instance.Alert("Se necesita conexión a la red para realizar esta operación.", "Desconectado", "Aceptar");
return;
}
;
//TODO: Apply permissions recommendations: https://github.com/jamesmontemagno/MediaPlugin#permission-recommendations
//TODO: return null exception and pick it up for AppCenter and display Userdialog (https://github.com/aritchie/userdialogs/blob/master/docs/progress.md)
if (image == null)
{
return;
}
using (UserDialogs.Instance.Loading("Analizando..."))
{
var fileStream = image.GetStream();
App.SourceImage = ImageSource.FromStream(() =>
{
return(image.GetStream());
});
ImagePrediction result = null;
try
{
result = await _predictionService.ClassifyImageAsync(App.CustomVisionProjectId, "default", fileStream);
}
catch (Exception ex)
{
Crashes.TrackError(ex);
await UserDialogs.Instance.AlertAsync("Error analizando imagen. No se pudo conectar con el servicio.", "Error");
return;
}
try
{
var vm = await CreateResultViewModelAsync(result);
await Navigation.PushAsync(new IdentificationResultsPage(vm));
}
catch { return; }
}
}
public static async Task <ImagePrediction> ClassifyImageWithRetryAsync(this ICustomVisionPredictionClient predictionApi, Guid projectId, Func <Task <Stream> > imageStreamCallback, string publishedName)
{
return(await RunTaskWithAutoRetryOnQuotaLimitExceededError(async() => await predictionApi.ClassifyImageAsync(projectId, publishedName, await imageStreamCallback())));
}
/// <summary>
/// Classify an image and saves the result.
/// </summary>
/// <param name='operations'>
/// The operations group for this extension method.
/// </param>
/// <param name='projectId'>
/// The project id.
/// </param>
/// <param name='publishedName'>
/// Specifies the name of the model to evaluate against.
/// </param>
/// <param name='imageData'>
/// Binary image data. Supported formats are JPEG, GIF, PNG, and BMP. Supports
/// images up to 4MB.
/// </param>
/// <param name='application'>
/// Optional. Specifies the name of application using the endpoint.
/// </param>
public static ImagePrediction ClassifyImage(this ICustomVisionPredictionClient operations, System.Guid projectId, string publishedName, Stream imageData, string application = default(string))
{
return(operations.ClassifyImageAsync(projectId, publishedName, imageData, application).GetAwaiter().GetResult());
}