public async void QueryPredictionResults()
{
using (MockContext context = MockContext.Start(this.GetType()))
{
HttpMockServer.Initialize(this.GetType(), "QueryPredictionResults", RecorderMode);
using (var project = CreateTrainedImageClassificationProject())
{
ICustomVisionTrainingClient client = BaseTests.GetTrainingClient();
var token = new PredictionQueryToken()
{
OrderBy = "Newest",
};
var result = await client.QueryPredictionsAsync(project.ProjectId, token);
Assert.NotEqual(0, result.Results.Count);
foreach (var prediction in result.Results)
{
Assert.Equal(project.ProjectId, prediction.Project);
Assert.NotEqual(Guid.Empty, prediction.Id);
Assert.NotEqual(Guid.Empty, prediction.Iteration);
Assert.NotEmpty(prediction.ThumbnailUri);
Assert.NotEmpty(prediction.OriginalImageUri);
Assert.NotEmpty(prediction.ResizedImageUri);
Assert.NotEqual(0, prediction.Predictions.Count);
}
}
}
}
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 DeletePrediction()
{
using (MockContext context = MockContext.Start(this.GetType()))
{
HttpMockServer.Initialize(this.GetType(), "DeletePrediction", RecorderMode);
using (var project = CreateTrainedImageClassificationProject())
{
ICustomVisionTrainingClient client = BaseTests.GetTrainingClient();
var token = new PredictionQueryToken()
{
OrderBy = "Newest",
};
var result = client.QueryPredictionsAsync(project.ProjectId, token).Result;
Assert.NotEqual(0, result.Results.Count);
await client.DeletePredictionAsync(project.ProjectId, new Guid[] { result.Results[result.Results.Count - 1].Id });
}
}
}
