private async void btnSubirNuevosTags_Click(object sender, RoutedEventArgs e)
{
TrainingApi trainingApi = new TrainingApi()
{
ApiKey = localSettings.Values["apiKeyCVTraining"] as string
};
var domains = await trainingApi.GetDomainsAsync();
var objDetectionDomain = domains.FirstOrDefault(d => d.Type == "ObjectDetection");
var project = vs.First().ToString();
try
{
Iteration iteration = new Iteration();
var iterationsList = await trainingApi.GetIterationsAsync(new Guid(vsproject));
var iterationUltima = iterationsList.Last().ToString();
ListaTags listaTags = new ListaTags();
var TagsPred = await trainingApi.GetTagsAsync(new Guid(vsproject));
PredictionQueryTag predictionQueryTag = new PredictionQueryTag(new Guid(TagsPred.Last().Id.ToString()), 0.45, 1);
StoredImagePrediction storedImagePredictiong = new StoredImagePrediction();
listaTags.Add(predictionQueryTag);
PredictionQueryToken predictionToken = new PredictionQueryToken()
{
Application = null, Continuation = null, EndTime = null, StartTime = null, IterationId = new Guid(iterationUltima), MaxCount = 100, OrderBy = "Newest", Session = null, Tags = listaTags
};
PredictionQueryResult predictionQueryResult = new PredictionQueryResult(predictionToken, StoredImages());
var imagePath = System.IO.Path.Combine("Images", "fork");
var imageFileEntries = new List <ImageIdCreateEntry>();
ImageIdCreateEntry imageIdCreateEntry = new ImageIdCreateEntry();
foreach (var item in region)
{
imageIdCreateEntry.Id = new Guid(idPredictedImage);
//imageFileEntries.Add(new ImageFileCreateEntry(item, File.ReadAllBytes(item), null, new List<Region>(new Region[] { new Region(tagId, region[0], region[1], region[2], region[3])})));
}
ImageRegionCreateBatch imageRegionCreateBatch = new ImageRegionCreateBatch();
}
catch (Exception ex)
{
var error = ex.Message.ToString();
}
}
public async void CreateImagesFromPredictions()
{
using (MockContext context = MockContext.Start(this.GetType()))
{
HttpMockServer.Initialize(this.GetType(), "CreateImagesFromPredictions", RecorderMode);
using (var project = CreateTrainedImageClassificationProject())
{
ICustomVisionTrainingClient client = BaseTests.GetTrainingClient();
string imageUrl = "https://raw.githubusercontent.com/Microsoft/Cognitive-CustomVision-Windows/master/Samples/Images/Test/test_image.jpg";
var predictionResult = await client.QuickTestImageUrlAsync(project.ProjectId, new ImageUrl(imageUrl), project.IterationId);
var i = new ImageIdCreateEntry[] { new ImageIdCreateEntry(predictionResult.Id) };
var result = await client.CreateImagesFromPredictionsAsync(project.ProjectId, new ImageIdCreateBatch(i));
Assert.Equal(1, result.Images.Count);
Assert.NotEmpty(result.Images[0].SourceUrl);
}
}
}
