use of com.google.cloud.datalabeling.v1beta1.ListDatasetsRequest in project java-datalabeling by googleapis.
the class LabelVideoIT method setUp.
@Before
public void setUp() {
System.setOut(new PrintStream(new ByteArrayOutputStream()));
try (DataLabelingServiceClient dataLabelingServiceClient = DataLabelingServiceClient.create()) {
// Create the dataset
CreateDataset.createDataset(PROJECT_ID, datasetName);
ProjectName projectName = ProjectName.of(PROJECT_ID);
// Get the Dataset
ListDatasetsRequest datasetsRequest = ListDatasetsRequest.newBuilder().setParent(projectName.toString()).build();
ListDatasetsPagedResponse datasetsResponse = dataLabelingServiceClient.listDatasets(datasetsRequest);
for (Dataset returnedDataset : datasetsResponse.getPage().iterateAll()) {
if (returnedDataset.getDisplayName().equals("LABEL_VIDEO_DATASET_NAME")) {
dataset = returnedDataset;
}
}
// Import the images
// ImportData.importData(dataset.getName(), DATASET_GCS_SOURCE_URI);
GcsSource gcsSource = GcsSource.newBuilder().setInputUri(DATASET_GCS_SOURCE_URI).setMimeType("text/csv").build();
InputConfig inputConfig = InputConfig.newBuilder().setDataType(// DataTypes: AUDIO, IMAGE, VIDEO, TEXT
DataType.VIDEO).setGcsSource(gcsSource).build();
ImportDataRequest importDataRequest = ImportDataRequest.newBuilder().setName(dataset.getName()).setInputConfig(inputConfig).build();
ImportDataOperationResponse response = dataLabelingServiceClient.importDataAsync(importDataRequest).get();
System.out.format("Imported items: %d\n", response.getImportCount());
// Create the instruction
CreateInstruction.createInstruction(PROJECT_ID, INSTRUCTION_GCS_SOURCE_URI);
// Create the annotation spec set
CreateAnnotationSpecSet.createAnnotationSpecSet(PROJECT_ID);
// Get the instruction
ListInstructionsRequest instructionsRequest = ListInstructionsRequest.newBuilder().setParent(projectName.toString()).build();
ListInstructionsPagedResponse instructionsResponse = dataLabelingServiceClient.listInstructions(instructionsRequest);
for (Instruction returnedInstruction : instructionsResponse.getPage().iterateAll()) {
if (returnedInstruction.getDisplayName().equals("YOUR_INSTRUCTION_DISPLAY_NAME")) {
instruction = returnedInstruction;
}
}
// Get the annotation spec set
ListAnnotationSpecSetsRequest annotationRequest = ListAnnotationSpecSetsRequest.newBuilder().setParent(projectName.toString()).build();
ListAnnotationSpecSetsPagedResponse annotationsResponse = dataLabelingServiceClient.listAnnotationSpecSets(annotationRequest);
for (AnnotationSpecSet returnedAnnotation : annotationsResponse.getPage().iterateAll()) {
if (returnedAnnotation.getDisplayName().equals("YOUR_ANNOTATION_SPEC_SET_DISPLAY_NAME")) {
annotationSpecSet = returnedAnnotation;
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
use of com.google.cloud.datalabeling.v1beta1.ListDatasetsRequest in project java-automl by googleapis.
the class ListDatasets method listDatasets.
// List the datasets
static void listDatasets(String projectId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(projectLocation.toString()).build();
// List all the datasets available in the region by applying filter.
System.out.println("List of datasets:");
for (Dataset dataset : client.listDatasets(request).iterateAll()) {
// Display the dataset information
System.out.format("%nDataset name: %s%n", dataset.getName());
// To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
// required for other methods.
// Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
String[] names = dataset.getName().split("/");
String retrievedDatasetId = names[names.length - 1];
System.out.format("Dataset id: %s%n", retrievedDatasetId);
System.out.format("Dataset display name: %s%n", dataset.getDisplayName());
System.out.println("Dataset create time:");
System.out.format("\tseconds: %s%n", dataset.getCreateTime().getSeconds());
System.out.format("\tnanos: %s%n", dataset.getCreateTime().getNanos());
// [END automl_video_object_tracking_list_datasets_beta]
// [END automl_tables_list_datasets]
System.out.format("Video classification dataset metadata: %s%n", dataset.getVideoClassificationDatasetMetadata());
// [END automl_video_classification_list_datasets_beta]
// [START automl_video_object_tracking_list_datasets_beta]
System.out.format("Video object tracking dataset metadata: %s%n", dataset.getVideoObjectTrackingDatasetMetadata());
// [END automl_video_object_tracking_list_datasets_beta]
// [START automl_tables_list_datasets]
System.out.format("Tables dataset metadata: %s%n", dataset.getTablesDatasetMetadata());
// [START automl_video_classification_list_datasets_beta]
// [START automl_video_object_tracking_list_datasets_beta]
}
}
}
use of com.google.cloud.datalabeling.v1beta1.ListDatasetsRequest in project java-automl by googleapis.
the class ListDatasets method listDatasets.
// List the datasets
static void listDatasets(String projectId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(projectLocation.toString()).build();
// List all the datasets available in the region by applying filter.
System.out.println("List of datasets:");
for (Dataset dataset : client.listDatasets(request).iterateAll()) {
// Display the dataset information
System.out.format("\nDataset name: %s\n", dataset.getName());
// To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
// required for other methods.
// Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
String[] names = dataset.getName().split("/");
String retrievedDatasetId = names[names.length - 1];
System.out.format("Dataset id: %s\n", retrievedDatasetId);
System.out.format("Dataset display name: %s\n", dataset.getDisplayName());
System.out.println("Dataset create time:");
System.out.format("\tseconds: %s\n", dataset.getCreateTime().getSeconds());
System.out.format("\tnanos: %s\n", dataset.getCreateTime().getNanos());
// [END automl_language_sentiment_analysis_list_datasets]
// [END automl_language_text_classification_list_datasets]
// [END automl_translate_list_datasets]
// [END automl_vision_classification_list_datasets]
// [END automl_vision_object_detection_list_datasets]
System.out.format("Text extraction dataset metadata: %s\n", dataset.getTextExtractionDatasetMetadata());
// [END automl_language_entity_extraction_list_datasets]
// [START automl_language_sentiment_analysis_list_datasets]
System.out.format("Text sentiment dataset metadata: %s\n", dataset.getTextSentimentDatasetMetadata());
// [END automl_language_sentiment_analysis_list_datasets]
// [START automl_language_text_classification_list_datasets]
System.out.format("Text classification dataset metadata: %s\n", dataset.getTextClassificationDatasetMetadata());
// [END automl_language_text_classification_list_datasets]
// [START automl_translate_list_datasets]
System.out.println("Translation dataset metadata:");
System.out.format("\tSource language code: %s\n", dataset.getTranslationDatasetMetadata().getSourceLanguageCode());
System.out.format("\tTarget language code: %s\n", dataset.getTranslationDatasetMetadata().getTargetLanguageCode());
// [END automl_translate_list_datasets]
// [START automl_vision_classification_list_datasets]
System.out.format("Image classification dataset metadata: %s\n", dataset.getImageClassificationDatasetMetadata());
// [END automl_vision_classification_list_datasets]
// [START automl_vision_object_detection_list_datasets]
System.out.format("Image object detection dataset metadata: %s\n", dataset.getImageObjectDetectionDatasetMetadata());
// [START automl_language_entity_extraction_list_datasets]
// [START automl_language_sentiment_analysis_list_datasets]
// [START automl_language_text_classification_list_datasets]
// [START automl_translate_list_datasets]
// [START automl_vision_classification_list_datasets]
}
}
}
use of com.google.cloud.datalabeling.v1beta1.ListDatasetsRequest in project java-automl by googleapis.
the class SetEndpoint method setEndpoint.
// Change your endpoint
static void setEndpoint(String projectId) throws IOException {
// [START automl_set_endpoint]
AutoMlSettings settings = AutoMlSettings.newBuilder().setEndpoint("eu-automl.googleapis.com:443").build();
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
AutoMlClient client = AutoMlClient.create(settings);
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "eu");
// [END automl_set_endpoint]
ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(projectLocation.toString()).setFilter("translation_dataset_metadata:*").build();
// List all the datasets available
System.out.println("List of datasets:");
for (Dataset dataset : client.listDatasets(request).iterateAll()) {
System.out.println(dataset);
}
client.close();
}
use of com.google.cloud.datalabeling.v1beta1.ListDatasetsRequest in project java-datalabeling by googleapis.
the class CreateDatasetIT method tearDown.
@After
public void tearDown() {
System.setOut(null);
bout.reset();
// Delete the Dataset
try (DataLabelingServiceClient dataLabelingServiceClient = DataLabelingServiceClient.create()) {
ProjectName projectName = ProjectName.of(PROJECT_ID);
ListDatasetsRequest listRequest = ListDatasetsRequest.newBuilder().setParent(projectName.toString()).build();
ListDatasetsPagedResponse response = dataLabelingServiceClient.listDatasets(listRequest);
for (Dataset dataset : response.getPage().iterateAll()) {
if (dataset.getDisplayName().equals(datasetName)) {
dataLabelingServiceClient.deleteDataset(dataset.getName());
}
}
} catch (IOException e) {
e.printStackTrace();
}
}
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