use of com.google.cloud.aiplatform.v1.GcsSource 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);
}
use of com.google.cloud.aiplatform.v1.GcsSource 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.aiplatform.v1.GcsSource 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();
}
}
use of com.google.cloud.aiplatform.v1.GcsSource in project java-aiplatform by googleapis.
the class ImportDataImageObjectDetectionSample method importDataImageObjectDetectionSample.
static void importDataImageObjectDetectionSample(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_bounding_box_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 Object Detection Response: %s\n", importDataResponse.toString());
}
}
use of com.google.cloud.aiplatform.v1.GcsSource in project java-aiplatform by googleapis.
the class ImportDataTextClassificationSingleLabelSample method importDataTextClassificationSingleLabelSample.
static void importDataTextClassificationSingleLabelSample(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/" + "text_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 Text Classification Response: %s\n", importDataResponse.toString());
}
}
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