Examples with ImportDataConfig com.google.cloud.aiplatform.v1.ImportDataConfig used on opensource projects

Example 6 with ImportDataConfig

use of com.google.cloud.aiplatform.v1.ImportDataConfig in project java-aiplatform by googleapis.

the class ImportDataVideoActionRecognitionSample method importDataVideoActionRecognitionSample.

static void importDataVideoActionRecognitionSample(String project, String datasetId, String gcsSourceUri) throws IOException, ExecutionException, InterruptedException {
    DatasetServiceSettings settings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    String location = "us-central1";
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DatasetServiceClient client = DatasetServiceClient.create(settings)) {
        GcsSource gcsSource = GcsSource.newBuilder().addUris(gcsSourceUri).build();
        ImportDataConfig importConfig0 = ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri("gs://google-cloud-aiplatform/schema/dataset/ioformat/" + "video_action_recognition_io_format_1.0.0.yaml").build();
        List<ImportDataConfig> importConfigs = new ArrayList<>();
        importConfigs.add(importConfig0);
        DatasetName name = DatasetName.of(project, location, datasetId);
        OperationFuture<ImportDataResponse, ImportDataOperationMetadata> response = client.importDataAsync(name, importConfigs);
        // You can use OperationFuture.getInitialFuture to get a future representing the initial
        // response to the request, which contains information while the operation is in progress.
        System.out.format("Operation name: %s\n", response.getInitialFuture().get().getName());
        // OperationFuture.get() will block until the operation is finished.
        ImportDataResponse importDataResponse = response.get();
        System.out.format("importDataResponse: %s\n", importDataResponse);
    }
}

Example 7 with ImportDataConfig

use of com.google.cloud.aiplatform.v1.ImportDataConfig in project java-aiplatform by googleapis.

the class ImportDataVideoObjectTrackingSample method importDataVideObjectTracking.

static void importDataVideObjectTracking(String gcsSourceUri, String project, String datasetId) throws IOException, ExecutionException, InterruptedException, 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 importSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/ioformat/" + "video_object_tracking_io_format_1.0.0.yaml";
        GcsSource.Builder gcsSource = GcsSource.newBuilder();
        gcsSource.addUris(gcsSourceUri);
        DatasetName datasetName = DatasetName.of(project, location, datasetId);
        List<ImportDataConfig> importDataConfigs = Collections.singletonList(ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri(importSchemaUri).build());
        OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataResponseFuture = datasetServiceClient.importDataAsync(datasetName, importDataConfigs);
        System.out.format("Operation name: %s\n", importDataResponseFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        ImportDataResponse importDataResponse = importDataResponseFuture.get(300, TimeUnit.SECONDS);
        System.out.format("Import Data Video Object Tracking Response: %s\n", importDataResponse.toString());
    }
}

Example 8 with ImportDataConfig

use of com.google.cloud.aiplatform.v1.ImportDataConfig in project java-aiplatform by googleapis.

the class ImportDataImageClassificationSample method importDataImageClassificationSample.

static void importDataImageClassificationSample(String project, String datasetId, String gcsSourceUri) 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 importSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/ioformat/" + "image_classification_single_label_io_format_1.0.0.yaml";
        GcsSource.Builder gcsSource = GcsSource.newBuilder();
        gcsSource.addUris(gcsSourceUri);
        DatasetName datasetName = DatasetName.of(project, location, datasetId);
        List<ImportDataConfig> importDataConfigList = Collections.singletonList(ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri(importSchemaUri).build());
        OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataResponseFuture = datasetServiceClient.importDataAsync(datasetName, importDataConfigList);
        System.out.format("Operation name: %s\n", importDataResponseFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        ImportDataResponse importDataResponse = importDataResponseFuture.get(300, TimeUnit.SECONDS);
        System.out.format("Import Data Image Classification Response: %s\n", importDataResponse.toString());
    }
}