Examples with InputConfig com.google.cloud.datalabeling.v1beta1.InputConfig used on opensource projects

Example 1 with InputConfig

use of com.google.cloud.datalabeling.v1beta1.InputConfig in project google-cloud-java by GoogleCloudPlatform.

the class TranslateSnippetsBeta method batchTranslateText.

// [END translate_translate_text_beta]
/**
 * Translates a batch of texts on GCS and stores the result in a GCS location.
 *
 * @param projectId - Id of the project.
 * @param location - location name.
 * @param sourceUri - Google Cloud Storage URI. Location where text is stored.
 * @param destinationUri - Google Cloud Storage URI where result will be stored.
 */
// [START translate_batch_translate_text_beta]
static BatchTranslateResponse batchTranslateText(String projectId, String location, String sourceUri, String destinationUri) {
    try (TranslationServiceClient translationServiceClient = TranslationServiceClient.create()) {
        LocationName locationName = LocationName.newBuilder().setProject(projectId).setLocation(location).build();
        GcsSource gcsSource = GcsSource.newBuilder().setInputUri(sourceUri).build();
        InputConfig inputConfig = InputConfig.newBuilder().setGcsSource(gcsSource).setMimeType("text/plain").build();
        GcsDestination gcsDestination = GcsDestination.newBuilder().setOutputUriPrefix(destinationUri).build();
        OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
        BatchTranslateTextRequest batchTranslateTextRequest = BatchTranslateTextRequest.newBuilder().setParent(locationName.toString()).setSourceLanguageCode("en").addTargetLanguageCodes("sr").addInputConfigs(inputConfig).setOutputConfig(outputConfig).build();
        // Call the API
        BatchTranslateResponse response = translationServiceClient.batchTranslateTextAsync(batchTranslateTextRequest).get(300, TimeUnit.SECONDS);
        System.out.printf("Total Characters: %d\n", response.getTotalCharacters());
        System.out.printf("Translated Characters: %d\n", response.getTranslatedCharacters());
        return response;
    } catch (Exception e) {
        throw new RuntimeException("Couldn't create client.", e);
    }
}

Example 2 with InputConfig

use of com.google.cloud.datalabeling.v1beta1.InputConfig in project spring-cloud-gcp by spring-cloud.

the class DocumentOcrTemplate method runOcrForDocument.

/**
 * Runs OCR processing for a specified {@code document} and generates OCR output files
 * under the path specified by {@code outputFilePathPrefix}.
 *
 * <p>
 * For example, if you specify an {@code outputFilePathPrefix} of
 * "gs://bucket_name/ocr_results/myDoc_", all the output files of OCR processing will be
 * saved under prefix, such as:
 *
 * <ul>
 * <li>gs://bucket_name/ocr_results/myDoc_output-1-to-5.json
 * <li>gs://bucket_name/ocr_results/myDoc_output-6-to-10.json
 * <li>gs://bucket_name/ocr_results/myDoc_output-11-to-15.json
 * </ul>
 *
 * <p>
 * Note: OCR processing operations may take several minutes to complete, so it may not be
 * advisable to block on the completion of the operation. One may use the returned
 * {@link ListenableFuture} to register callbacks or track the status of the operation.
 *
 * @param document The {@link GoogleStorageLocation} of the document to run OCR processing
 * @param outputFilePathPrefix The {@link GoogleStorageLocation} of a file, folder, or a
 *     bucket describing the path for which all output files shall be saved under
 *
 * @return A {@link ListenableFuture} allowing you to register callbacks or wait for the
 * completion of the operation.
 */
public ListenableFuture<DocumentOcrResultSet> runOcrForDocument(GoogleStorageLocation document, GoogleStorageLocation outputFilePathPrefix) {
    Assert.isTrue(document.isFile(), "Provided document location is not a valid file location: " + document);
    GcsSource gcsSource = GcsSource.newBuilder().setUri(document.uriString()).build();
    String contentType = extractContentType(document);
    InputConfig inputConfig = InputConfig.newBuilder().setMimeType(contentType).setGcsSource(gcsSource).build();
    GcsDestination gcsDestination = GcsDestination.newBuilder().setUri(outputFilePathPrefix.uriString()).build();
    OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).setBatchSize(this.jsonOutputBatchSize).build();
    AsyncAnnotateFileRequest request = AsyncAnnotateFileRequest.newBuilder().addFeatures(DOCUMENT_OCR_FEATURE).setInputConfig(inputConfig).setOutputConfig(outputConfig).build();
    OperationFuture<AsyncBatchAnnotateFilesResponse, OperationMetadata> result = imageAnnotatorClient.asyncBatchAnnotateFilesAsync(Collections.singletonList(request));
    return extractOcrResultFuture(result);
}

Example 3 with InputConfig

use of com.google.cloud.datalabeling.v1beta1.InputConfig 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 4 with InputConfig

use of com.google.cloud.datalabeling.v1beta1.InputConfig in project java-datalabeling by googleapis.

the class ImportData method importData.

// Import data to an existing dataset.
static void importData(String datasetName, String gcsSourceUri) throws IOException {
    // String datasetName = DataLabelingServiceClient.formatDatasetName(
    // "YOUR_PROJECT_ID", "YOUR_DATASETS_UUID");
    // String gcsSourceUri = "gs://YOUR_BUCKET_ID/path_to_data";
    // [END datalabeling_import_data_beta]
    String endpoint = System.getenv("DATALABELING_ENDPOINT");
    if (endpoint == null) {
        endpoint = DataLabelingServiceSettings.getDefaultEndpoint();
    }
    // [START datalabeling_import_data_beta]
    DataLabelingServiceSettings settings = DataLabelingServiceSettings.newBuilder().setEndpoint(endpoint).build();
    try (DataLabelingServiceClient dataLabelingServiceClient = DataLabelingServiceClient.create(settings)) {
        GcsSource gcsSource = GcsSource.newBuilder().setInputUri(gcsSourceUri).setMimeType("text/csv").build();
        InputConfig inputConfig = InputConfig.newBuilder().setDataType(// DataTypes: AUDIO, IMAGE, VIDEO, TEXT
        DataType.IMAGE).setGcsSource(gcsSource).build();
        ImportDataRequest importDataRequest = ImportDataRequest.newBuilder().setName(datasetName).setInputConfig(inputConfig).build();
        OperationFuture<ImportDataOperationResponse, ImportDataOperationMetadata> operation = dataLabelingServiceClient.importDataAsync(importDataRequest);
        ImportDataOperationResponse response = operation.get();
        System.out.format("Imported items: %d\n", response.getImportCount());
    } catch (IOException | InterruptedException | ExecutionException e) {
        e.printStackTrace();
    }
}

Example 5 with InputConfig

use of com.google.cloud.datalabeling.v1beta1.InputConfig in project java-translate by googleapis.

the class BatchTranslateTextWithGlossaryAndModel method batchTranslateTextWithGlossaryAndModel.

// Batch translate text with Model and Glossary
public static void batchTranslateTextWithGlossaryAndModel(String projectId, String sourceLanguage, String targetLanguage, String inputUri, String outputUri, String glossaryId, String modelId) throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (TranslationServiceClient client = TranslationServiceClient.create()) {
        // Supported Locations: `global`, [glossary location], or [model location]
        // Glossaries must be hosted in `us-central1`
        // Custom Models must use the same location as your model. (us-central1)
        String location = "us-central1";
        LocationName parent = LocationName.of(projectId, location);
        // Configure the source of the file from a GCS bucket
        GcsSource gcsSource = GcsSource.newBuilder().setInputUri(inputUri).build();
        // Supported Mime Types: https://cloud.google.com/translate/docs/supported-formats
        InputConfig inputConfig = InputConfig.newBuilder().setGcsSource(gcsSource).setMimeType("text/plain").build();
        // Configure where to store the output in a GCS bucket
        GcsDestination gcsDestination = GcsDestination.newBuilder().setOutputUriPrefix(outputUri).build();
        OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
        // Configure the glossary used in the request
        GlossaryName glossaryName = GlossaryName.of(projectId, location, glossaryId);
        TranslateTextGlossaryConfig glossaryConfig = TranslateTextGlossaryConfig.newBuilder().setGlossary(glossaryName.toString()).build();
        // Configure the model used in the request
        String modelPath = String.format("projects/%s/locations/%s/models/%s", projectId, location, modelId);
        // Build the request that will be sent to the API
        BatchTranslateTextRequest request = BatchTranslateTextRequest.newBuilder().setParent(parent.toString()).setSourceLanguageCode(sourceLanguage).addTargetLanguageCodes(targetLanguage).addInputConfigs(inputConfig).setOutputConfig(outputConfig).putGlossaries(targetLanguage, glossaryConfig).putModels(targetLanguage, modelPath).build();
        // Start an asynchronous request
        OperationFuture<BatchTranslateResponse, BatchTranslateMetadata> future = client.batchTranslateTextAsync(request);
        System.out.println("Waiting for operation to complete...");
        // random number between 300 - 450 (maximum allowed seconds)
        long randomNumber = ThreadLocalRandom.current().nextInt(450, 600);
        BatchTranslateResponse response = future.get(randomNumber, TimeUnit.SECONDS);
        // Display the translation for each input text provided
        System.out.printf("Total Characters: %s\n", response.getTotalCharacters());
        System.out.printf("Translated Characters: %s\n", response.getTranslatedCharacters());
    }
}