use of com.google.cloud.vision.v1.OutputConfig 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);
}
}
use of com.google.cloud.vision.v1.OutputConfig 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);
}
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