Examples with DataSet spold2.DataSet used on opensource projects

Example 1 with DataSet

use of spold2.DataSet 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();
    }
}

Example 2 with DataSet

use of spold2.DataSet in project java-datalabeling by googleapis.

the class CreateDataset method createDataset.

// Create a dataset that is initially empty.
static void createDataset(String projectId, String datasetName) throws IOException {
    // String projectId = "YOUR_PROJECT_ID";
    // String datasetName = "YOUR_DATASET_DISPLAY_NAME";
    // [END datalabeling_create_dataset_beta]
    String endpoint = System.getenv("DATALABELING_ENDPOINT");
    if (endpoint == null) {
        endpoint = DataLabelingServiceSettings.getDefaultEndpoint();
    }
    // [START datalabeling_create_dataset_beta]
    DataLabelingServiceSettings settings = DataLabelingServiceSettings.newBuilder().setEndpoint(endpoint).build();
    try (DataLabelingServiceClient dataLabelingServiceClient = DataLabelingServiceClient.create(settings)) {
        ProjectName projectName = ProjectName.of(projectId);
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetName).setDescription("YOUR_DESCRIPTION").build();
        CreateDatasetRequest createDatasetRequest = CreateDatasetRequest.newBuilder().setParent(projectName.toString()).setDataset(dataset).build();
        Dataset createdDataset = dataLabelingServiceClient.createDataset(createDatasetRequest);
        System.out.format("Name: %s\n", createdDataset.getName());
        System.out.format("DisplayName: %s\n", createdDataset.getDisplayName());
        System.out.format("Description: %s\n", createdDataset.getDescription());
    } catch (IOException e) {
        e.printStackTrace();
    }
}

Example 3 with DataSet

use of spold2.DataSet in project java-aiplatform by googleapis.

the class ImportDataVideoObjectTrackingSampleTest method setUp.

@Before
public void setUp() throws InterruptedException, ExecutionException, TimeoutException, IOException {
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
    // create a temp dataset for importing data
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/video_1.0.0.yaml";
        LocationName locationName = LocationName.of(PROJECT, LOCATION);
        Dataset dataset = Dataset.newBuilder().setDisplayName("test_dataset_display_name").setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        Dataset datasetResponse = datasetFuture.get(300, TimeUnit.SECONDS);
        String[] datasetValues = datasetResponse.getName().split("/");
        datasetId = datasetValues[datasetValues.length - 1];
    }
}

Example 4 with DataSet

use of spold2.DataSet in project java-aiplatform by googleapis.

the class ImportDataImageObjectDetectionSampleTest method setUp.

@Before
public void setUp() throws InterruptedException, ExecutionException, TimeoutException, IOException {
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
    // create a temp dataset for importing data
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml";
        LocationName locationName = LocationName.of(PROJECT, LOCATION);
        Dataset dataset = Dataset.newBuilder().setDisplayName("test_dataset_display_name").setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        Dataset datasetResponse = datasetFuture.get(120, TimeUnit.SECONDS);
        String[] datasetValues = datasetResponse.getName().split("/");
        datasetId = datasetValues[datasetValues.length - 1];
    }
}

Example 5 with DataSet

use of spold2.DataSet in project java-aiplatform by googleapis.

the class CreateDatasetVideoSample method createDatasetSample.

static void createDatasetSample(String datasetVideoDisplayName, String project) throws IOException, InterruptedException, ExecutionException, TimeoutException {
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String location = "us-central1";
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/video_1.0.0.yaml";
        LocationName locationName = LocationName.of(project, location);
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetVideoDisplayName).setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        System.out.format("Operation name: %s\n", datasetFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        Dataset datasetResponse = datasetFuture.get(300, TimeUnit.SECONDS);
        System.out.println("Create Dataset Video Response");
        System.out.format("Name: %s\n", datasetResponse.getName());
        System.out.format("Display Name: %s\n", datasetResponse.getDisplayName());
        System.out.format("Metadata Schema Uri: %s\n", datasetResponse.getMetadataSchemaUri());
        System.out.format("Metadata: %s\n", datasetResponse.getMetadata());
        System.out.format("Create Time: %s\n", datasetResponse.getCreateTime());
        System.out.format("Update Time: %s\n", datasetResponse.getUpdateTime());
        System.out.format("Labels: %s\n", datasetResponse.getLabelsMap());
    }
}