public async void ImageCounts() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "ImageCounts", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); var taggedImageCount = await client.GetTaggedImageCountAsync(project.ProjectId); Assert.Equal(10, taggedImageCount); var untaggedImageCount = await client.GetUntaggedImageCountAsync(project.ProjectId); Assert.Equal(0, untaggedImageCount); var iterationId = (await client.GetIterationsAsync(project.ProjectId))[0].Id; var imagePerfCount = await client.GetImagePerformanceCountAsync(project.ProjectId, iterationId); Assert.Equal(2, imagePerfCount); } } }
public async void ObjDetectionPrediction() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "ObjDetectionPrediction", RecorderMode); using (var project = CreateTrainedObjDetectionProject()) using (ICustomVisionTrainingClient client = BaseTests.GetTrainingClient()) using (FileStream stream = new FileStream(Path.Combine("TestImages", "od_test_image.jpg"), FileMode.Open)) { var imageResult = await client.QuickTestImageAsync(project.ProjectId, stream, project.IterationId); Assert.NotEqual(Guid.Empty, imageResult.Id); Assert.NotEqual(Guid.Empty, imageResult.Iteration); Assert.Equal(project.ProjectId, imageResult.Project); Assert.NotEqual(0, imageResult.Predictions.Count); Assert.InRange(imageResult.Predictions[0].Probability, 0.5, 1); Assert.NotNull(imageResult.Predictions[0].BoundingBox); Assert.InRange(imageResult.Predictions[0].BoundingBox.Left, 0, 1); Assert.InRange(imageResult.Predictions[0].BoundingBox.Top, 0, 1); Assert.InRange(imageResult.Predictions[0].BoundingBox.Width, 0, 1); Assert.InRange(imageResult.Predictions[0].BoundingBox.Height, 0, 1); } } }
public async void QuickTests() { var dataFileName = "test_image.jpg"; using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "QuickTests", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) using (ICustomVisionTrainingClient client = BaseTests.GetTrainingClient()) { using (FileStream stream = new FileStream(Path.Combine("TestImages", dataFileName), FileMode.Open)) { var imageResult = await client.QuickTestImageAsync(project.ProjectId, stream, project.IterationId); Assert.NotEqual(Guid.Empty, imageResult.Id); Assert.NotEqual(Guid.Empty, imageResult.Iteration); Assert.Equal(project.ProjectId, imageResult.Project); Assert.NotEqual(0, imageResult.Predictions.Count); Assert.InRange(imageResult.Predictions[0].Probability, 0.9, 1); Assert.Equal("Tag1", imageResult.Predictions[0].TagName); } string imageUrl = "https://raw.githubusercontent.com/Microsoft/Cognitive-CustomVision-Windows/master/Samples/Images/Test/test_image.jpg"; var urlResult = await client.QuickTestImageUrlAsync(project.ProjectId, new ImageUrl(imageUrl), project.IterationId); Assert.NotEqual(Guid.Empty, urlResult.Id); Assert.NotEqual(Guid.Empty, urlResult.Iteration); Assert.Equal(project.ProjectId, urlResult.Project); Assert.NotEqual(0, urlResult.Predictions.Count); Assert.InRange(urlResult.Predictions[0].Probability, 0.9, 1); Assert.Equal("Tag1", urlResult.Predictions[0].TagName); } } }
public async void ImageTagManipulation() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "ImageTagManipulation", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); var untaggedImages = client.GetUntaggedImagesAsync(project.ProjectId).Result; Assert.Equal(0, untaggedImages.Count); var taggedImages = client.GetTaggedImagesAsync(project.ProjectId).Result; Assert.Equal(10, taggedImages.Count); var imageToBeModified = taggedImages[0].Id; var tagToBeModified = taggedImages[0].Tags[0].TagId; await client.DeleteImageTagsAsync(project.ProjectId, new Guid[] { imageToBeModified }, new Guid[] { tagToBeModified }); untaggedImages = client.GetUntaggedImagesAsync(project.ProjectId).Result; Assert.Equal(1, untaggedImages.Count); var imageTags = new ImageTagCreateEntry(imageToBeModified, tagToBeModified); var result = client.CreateImageTagsAsync(project.ProjectId, new ImageTagCreateBatch(new ImageTagCreateEntry[] { imageTags })).Result; Assert.Equal(1, result.Created.Count); Assert.Equal(imageToBeModified, result.Created[0].ImageId); Assert.Equal(tagToBeModified, result.Created[0].TagId); } } }
public async void ExportTests() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "ExportTests", RecorderMode); using (var project = CreateTrainedImageClassificationProject(ProjectBuilderHelper.ExportableDomain)) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); var iterations = await client.GetIterationsAsync(project.ProjectId); var exportableIteration = iterations.FirstOrDefault(e => e.Exportable); Assert.NotNull(exportableIteration); var export = await client.ExportIterationAsync(project.ProjectId, exportableIteration.Id, ExportPlatform.TensorFlow); Assert.Equal("Exporting", export.Status); Assert.Null(export.DownloadUri); Assert.Equal(ExportPlatform.TensorFlow, export.Platform); Assert.False(export.NewerVersionAvailable); while (export.Status != "Done") { var exports = await client.GetExportsAsync(project.ProjectId, exportableIteration.Id); Assert.Equal(1, exports.Count); export = exports.Where(e => e.Platform == ExportPlatform.TensorFlow).FirstOrDefault(); Assert.NotNull(export); Thread.Sleep(1000); } Assert.NotEmpty(export.DownloadUri); } } }
public async void GetIterationPerformance() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "GetIterationPerformance", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); var iterations = await client.GetIterationsAsync(project.ProjectId); Assert.True(iterations.Count > 0); var iterationPerf = await client.GetIterationPerformanceAsync(project.ProjectId, iterations[iterations.Count - 1].Id, 0.9); Assert.Equal(1, iterationPerf.Recall); Assert.Equal(0, iterationPerf.RecallStdDeviation); Assert.Equal(1, iterationPerf.Precision); Assert.Equal(0, iterationPerf.PrecisionStdDeviation); Assert.Equal(2, iterationPerf.PerTagPerformance.Count); Assert.Equal("Tag1", iterationPerf.PerTagPerformance[0].Name); Assert.Equal(1, iterationPerf.PerTagPerformance[0].Recall); Assert.Equal(0, iterationPerf.PerTagPerformance[0].RecallStdDeviation); Assert.Equal(1, iterationPerf.PerTagPerformance[0].Precision); Assert.Equal(0, iterationPerf.PerTagPerformance[0].PrecisionStdDeviation); Assert.Equal("Tag2", iterationPerf.PerTagPerformance[1].Name); Assert.Equal(1, iterationPerf.PerTagPerformance[1].Recall); Assert.Equal(0, iterationPerf.PerTagPerformance[1].RecallStdDeviation); Assert.Equal(1, iterationPerf.PerTagPerformance[1].Precision); Assert.Equal(0, iterationPerf.PerTagPerformance[1].PrecisionStdDeviation); } } }
public async void GetImagesByIds() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "GetImagesByIds", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); var tags = await client.GetTagsAsync(project.ProjectId); var imagesForTag = await client.GetTaggedImagesAsync(project.ProjectId, null, new List <Guid>(new Guid[] { tags[0].Id })); Assert.Equal(5, imagesForTag.Count); var images = await client.GetImagesByIdsAsync(project.ProjectId, imagesForTag.Select(img => img.Id).ToList()); Assert.Equal(5, images.Count); foreach (var image in images) { Assert.Equal(1, image.Tags.Count); var tag = image.Tags[0]; Assert.Equal(tags[0].Id, tag.TagId); Assert.Equal(tags[0].Name, tag.TagName); Assert.NotNull(image.ThumbnailUri); Assert.NotEmpty(image.OriginalImageUri); Assert.NotEmpty(image.ResizedImageUri); Assert.True(image.Width > 0); Assert.True(image.Height > 0); } } } }
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); } } } }
public async void QuerySuggestedImageCount() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "QuerySuggestedImageCount", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) using (ICustomVisionTrainingClient client = BaseTests.GetTrainingClient()) { // Add an untagged image we expect to be classified as tag1 var images = new ImageFileCreateEntry[] { new ImageFileCreateEntry("suggest_ic.jpg", File.ReadAllBytes(Path.Combine("TestImages", "suggest_ic.jpg"))) }; var imageResult = await client.CreateImagesFromFilesAsync(project.ProjectId, new ImageFileCreateBatch(images)); Assert.True(imageResult.IsBatchSuccessful); Assert.Equal(1, imageResult.Images.Count); // Ask for suggestions var suggestions = client.SuggestTagsAndRegions(project.ProjectId, project.IterationId, new Guid[] { imageResult.Images[0].Image.Id }); // Validate result Assert.Equal(1, suggestions.Count); var tags = await client.GetTagsAsync(project.ProjectId, project.IterationId); // We expect to get Tag1 as the primary suggestion, so query with a high prediction var countMapping = await client.QuerySuggestedImageCountAsync(project.ProjectId, project.IterationId, new TagFilter() { Threshold = 0.75, TagIds = new Guid[] { tags[0].Id } }); Assert.Equal(1, countMapping.Count); Assert.Equal(1, countMapping[tags[0].Id.ToString()]); // We expect to get Tag2 to have a low probabilty, make sure we don't find it with a high threshold countMapping = await client.QuerySuggestedImageCountAsync(project.ProjectId, project.IterationId, new TagFilter() { Threshold = 0.75, TagIds = new Guid[] { tags[1].Id } }); Assert.Equal(1, countMapping.Count); Assert.Equal(0, countMapping[tags[1].Id.ToString()]); // Get results for all tags with a high threshold. countMapping = await client.QuerySuggestedImageCountAsync(project.ProjectId, project.IterationId, new TagFilter() { Threshold = 0.75, TagIds = tags.Select(t => t.Id).ToList() }); Assert.Equal(2, countMapping.Count); Assert.Equal(1, countMapping[tags[0].Id.ToString()]); Assert.Equal(0, countMapping[tags[1].Id.ToString()]); } } }
public async void RegionManipulation() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "RegionManipulation", RecorderMode); using (var project = CreateTrainedObjDetectionProject()) using (ICustomVisionTrainingClient client = BaseTests.GetTrainingClient()) { var existingImage = (await client.GetTaggedImagesAsync(project.ProjectId)).First(); Assert.NotNull(existingImage); var testTag = await client.CreateTagAsync(project.ProjectId, tagName); var proposal = await client.GetImageRegionProposalsAsync(project.ProjectId, existingImage.Id); Assert.True(proposal.Proposals.Count > 0); Assert.Equal(project.ProjectId, proposal.ProjectId); Assert.Equal(existingImage.Id, proposal.ImageId); Assert.InRange(proposal.Proposals[0].Confidence, 0, 1); var bbox = proposal.Proposals[0].BoundingBox; List <ImageRegionCreateEntry> newRegions = new List <ImageRegionCreateEntry>(); newRegions.Add(new ImageRegionCreateEntry(existingImage.Id, testTag.Id, bbox.Left, bbox.Top, bbox.Width, bbox.Height)); var regions = await client.CreateImageRegionsAsync(project.ProjectId, new ImageRegionCreateBatch(newRegions)); Assert.Equal(1, regions.Created.Count); Assert.Equal(0, regions.Duplicated.Count); Assert.Equal(0, regions.Exceeded.Count); Assert.Equal(bbox.Top, regions.Created[0].Top); Assert.Equal(bbox.Left, regions.Created[0].Left); Assert.Equal(bbox.Width, regions.Created[0].Width); Assert.Equal(bbox.Height, regions.Created[0].Height); Assert.Equal(existingImage.Id, regions.Created[0].ImageId); Assert.Equal(testTag.Id, regions.Created[0].TagId); Assert.NotEqual(Guid.Empty, regions.Created[0].RegionId); var image = await client.GetImagesByIdsAsync(project.ProjectId, new List <Guid>(new Guid[] { existingImage.Id })); Assert.Equal(1, image.Count); Assert.Equal(2, image[0].Regions.Count); await client.DeleteImageRegionsAsync(project.ProjectId, new List <Guid>(new Guid[] { regions.Created[0].RegionId })); image = await client.GetImagesByIdsAsync(project.ProjectId, new List <Guid>(new Guid[] { existingImage.Id })); Assert.Equal(1, image.Count); Assert.Equal(1, image[0].Regions.Count); await client.DeleteTagAsync(project.ProjectId, testTag.Id); } } }
public void Dispose() { #if RECORD_MODE ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(false); foreach (var iter in client.GetIterations(this.ProjectId)) { if (!string.IsNullOrEmpty(iter.PublishName)) { client.UnpublishIteration(this.ProjectId, iter.Id); } } client.DeleteProject(this.ProjectId); #endif }
public async void GetUntaggedImages() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "GetUntaggedImages", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); var images = await client.GetUntaggedImagesAsync(project.ProjectId); Assert.Equal(0, images.Count); } } }
public async void TrainAndPublishProject() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "TrainAndPublishProject", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); // Remove the last trained iteration so we can retrain var iterationToDelete = client.GetIteration(project.ProjectId, project.IterationId); var originalPublishName = iterationToDelete.PublishName; await client.UnpublishIterationAsync(project.ProjectId, iterationToDelete.Id); await client.DeleteIterationAsync(project.ProjectId, iterationToDelete.Id); // Need to ensure we wait 1 second between training calls from the previous project.Or // We get 429s. Thread.Sleep(1000); var trainedIteration = await client.TrainProjectAsync(project.ProjectId); Assert.NotEqual(iterationToDelete.Name, trainedIteration.Name); Assert.NotEqual(iterationToDelete.Id, trainedIteration.Id); Assert.NotEqual(Guid.Empty, trainedIteration.Id); Assert.True("Staging" == trainedIteration.Status || "Training" == trainedIteration.Status); Assert.False(trainedIteration.Exportable); Assert.Null(trainedIteration.PublishName); // Wait for training to complete. while (trainedIteration.Status != "Completed") { Thread.Sleep(1000); trainedIteration = client.GetIteration(project.ProjectId, trainedIteration.Id); } // Verify we can republish using same name Assert.True(client.PublishIteration(project.ProjectId, trainedIteration.Id, originalPublishName, BaseTests.PredictionResourceId)); project.IterationId = trainedIteration.Id; } } }
public async void QuerySuggestedImages() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "QuerySuggestedImages", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) using (ICustomVisionTrainingClient client = BaseTests.GetTrainingClient()) { // Add an untagged image we expect to be classified as tag1 var images = new ImageFileCreateEntry[] { new ImageFileCreateEntry("suggest_ic.jpg", File.ReadAllBytes(Path.Combine("TestImages", "suggest_ic.jpg"))) }; var imageResult = await client.CreateImagesFromFilesAsync(project.ProjectId, new ImageFileCreateBatch(images)); Assert.True(imageResult.IsBatchSuccessful); Assert.Equal(1, imageResult.Images.Count); // Ask for suggestions var suggestions = client.SuggestTagsAndRegions(project.ProjectId, project.IterationId, new Guid[] { imageResult.Images[0].Image.Id }); // Validate result Assert.Equal(1, suggestions.Count); // Get tags and build a query var tags = await client.GetTagsAsync(project.ProjectId, project.IterationId); var query = new SuggestedTagAndRegionQueryToken() { MaxCount = 10, TagIds = tags.Select(t => t.Id).ToList(), Threshold = 0 }; // This will return all suggested images (1 in this case) var suggestedImages = await client.QuerySuggestedImagesAsync(project.ProjectId, project.IterationId, query); Assert.Equal(1, suggestedImages.Results.Count); } } }
public async void SuggestTagAndRegions() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "SuggestTagAndRegions", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) using (ICustomVisionTrainingClient client = BaseTests.GetTrainingClient()) { // Add an untagged image we expect to be classified as tag1 var images = new ImageFileCreateEntry[] { new ImageFileCreateEntry("suggest_ic.jpg", File.ReadAllBytes(Path.Combine("TestImages", "suggest_ic.jpg"))) }; var imageResult = await client.CreateImagesFromFilesAsync(project.ProjectId, new ImageFileCreateBatch(images)); Assert.True(imageResult.IsBatchSuccessful); Assert.Equal(1, imageResult.Images.Count); // Ask for suggestions var suggestions = client.SuggestTagsAndRegions(project.ProjectId, project.IterationId, new Guid[] { imageResult.Images[0].Image.Id }); // Validate result Assert.Equal(1, suggestions.Count); Assert.Equal(project.ProjectId, suggestions[0].Project); Assert.Equal(project.IterationId, suggestions[0].Iteration); Assert.NotEqual(0, suggestions[0].Predictions.Count); foreach (var prediction in suggestions[0].Predictions) { var tag = await client.GetTagAsync(project.ProjectId, prediction.TagId, project.IterationId); Assert.Equal(tag.Name, prediction.TagName); Assert.Equal(tag.Id, prediction.TagId); Assert.InRange(prediction.Probability, 0, 1); } // We expect Tag1 to have the highest probability Assert.Equal("Tag1", suggestions[0].Predictions.OrderByDescending(p => p.Probability).First().TagName); } } }
public async void GetIterations() { var updatedName = "New Iteration Name"; using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "GetIterations", RecorderMode); using (var project = CreateTrainedImageClassificationProject()) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); var iterations = await client.GetIterationsAsync(project.ProjectId); Assert.Equal(1, iterations.Count); Assert.NotEmpty(iterations[0].Name); Assert.NotEqual(Guid.Empty, iterations[0].DomainId); Assert.NotEqual(Guid.Empty, iterations[0].Id); Assert.Equal(project.ProjectId, iterations[0].ProjectId); Assert.Equal("Completed", iterations[0].Status); Assert.False(iterations[0].Exportable); var iteration = await client.GetIterationAsync(project.ProjectId, iterations[0].Id); Assert.Equal(iteration.Name, iterations[0].Name); Assert.Equal(iteration.Id, iterations[0].Id); Assert.Equal(TrainingType.Regular, iteration.TrainingType); Assert.Equal(0, iteration.ReservedBudgetInHours); Assert.NotEmpty(iteration.PublishName); Assert.Equal(1, iteration.TrainingTimeInMinutes); Assert.Equal(BaseTests.PredictionResourceId, iteration.OriginalPublishResourceId); var updatedIteration = await client.UpdateIterationAsync(project.ProjectId, iteration.Id, new Iteration() { Name = updatedName }); Assert.Equal(updatedName, updatedIteration.Name); } } }
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); } } }
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 }); } } }
public async void DeleteImages() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "DeleteImages", RecorderMode); using (ICustomVisionTrainingClient client = BaseTests.GetTrainingClient()) { var projectId = (await client.CreateProjectAsync(projName)).Id; string imageUrl = "https://raw.githubusercontent.com/Microsoft/Cognitive-CustomVision-Windows/master/Samples/Images/Test/test_image.jpg"; var urlImages = new ImageUrlCreateEntry[] { new ImageUrlCreateEntry(imageUrl) }; var result = client.CreateImagesFromUrlsAsync(projectId, new ImageUrlCreateBatch(urlImages)).Result; Assert.True(result.IsBatchSuccessful); Assert.Equal(1, result.Images.Count); await client.DeleteImagesAsync(projectId, new Guid[] { result.Images[0].Image.Id }); await client.DeleteProjectAsync(projectId); } } }
public async void DownloadRegions() { using (MockContext context = MockContext.Start(this.GetType())) { HttpMockServer.Initialize(this.GetType(), "DownloadRegions", RecorderMode); using (var project = CreateTrainedObjDetectionProject()) { ICustomVisionTrainingClient client = BaseTests.GetTrainingClient(); var images = await client.GetTaggedImagesAsync(project.ProjectId); foreach (var img in images) { Assert.NotNull(img.Regions); Assert.Equal(1, img.Regions.Count); Assert.InRange(img.Regions[0].Left, 0, 1); Assert.InRange(img.Regions[0].Top, 0, 1); Assert.InRange(img.Regions[0].Width, 0, 1); Assert.InRange(img.Regions[0].Height, 0, 1); } } } }