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

Example 16 with OutputConfig

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

the class AsyncBatchAnnotateImagesGcs method asyncBatchAnnotateImagesGcs.

// Performs asynchronous batch annotation of images on Google Cloud Storage
public static void asyncBatchAnnotateImagesGcs(String gcsSourcePath, String gcsDestinationPath) throws Exception {
    // String gcsDestinationPath = "gs://YOUR_BUCKET_ID/path_to_store_annotation";
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        List<AnnotateImageRequest> requests = new ArrayList<>();
        ImageSource imgSource = ImageSource.newBuilder().setImageUri(gcsSourcePath).build();
        Image image = Image.newBuilder().setSource(imgSource).build();
        // Set the GCS destination path for where to save the results.
        GcsDestination gcsDestination = GcsDestination.newBuilder().setUri(gcsDestinationPath).build();
        // Create the configuration for the output with the batch size.
        // The batch size sets how many pages should be grouped into each json output file.
        OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).setBatchSize(2).build();
        // Select the Features required by the vision API
        Feature features = Feature.newBuilder().setType(Type.LABEL_DETECTION).setType(Type.TEXT_DETECTION).setType(Type.IMAGE_PROPERTIES).build();
        // Build the request
        AnnotateImageRequest annotateImageRequest = AnnotateImageRequest.newBuilder().setImage(image).addFeatures(features).build();
        requests.add(annotateImageRequest);
        AsyncBatchAnnotateImagesRequest request = AsyncBatchAnnotateImagesRequest.newBuilder().addAllRequests(requests).setOutputConfig(outputConfig).build();
        OperationFuture<AsyncBatchAnnotateImagesResponse, OperationMetadata> response = client.asyncBatchAnnotateImagesAsync(request);
        System.out.println("Waiting for the operation to finish.");
        // we're not processing the response, since we'll be reading the output from GCS.
        response.get(180, TimeUnit.SECONDS);
        // Once the request has completed and the output has been
        // written to GCS, we can list all the output files.
        Storage storage = StorageOptions.getDefaultInstance().getService();
        // Get the destination location from the gcsDestinationPath
        Pattern pattern = Pattern.compile("gs://([^/]+)/(.+)");
        Matcher matcher = pattern.matcher(gcsDestinationPath);
        if (matcher.find()) {
            String bucketName = matcher.group(1);
            String prefix = matcher.group(2);
            // Get the list of objects with the given prefix from the GCS bucket
            Bucket bucket = storage.get(bucketName);
            Page<Blob> pageList = bucket.list(BlobListOption.prefix(prefix));
            Blob firstOutputFile = null;
            // List objects with the given prefix.
            System.out.println("Output files:");
            for (Blob blob : pageList.iterateAll()) {
                System.out.println(blob.getName());
                // the first two image requests
                if (firstOutputFile == null) {
                    firstOutputFile = blob;
                }
            }
            // Get the contents of the file and convert the JSON contents to an
            // BatchAnnotateImagesResponse
            // object. If the Blob is small read all its content in one request
            // (Note: the file is a .json file)
            // Storage guide: https://cloud.google.com/storage/docs/downloading-objects
            String jsonContents = new String(firstOutputFile.getContent());
            Builder builder = BatchAnnotateImagesResponse.newBuilder();
            JsonFormat.parser().merge(jsonContents, builder);
            // Build the AnnotateFileResponse object
            BatchAnnotateImagesResponse batchAnnotateImagesResponse = builder.build();
            // Here we print the response for the first image
            // The response contains more information:
            // annotation/pages/blocks/paragraphs/words/symbols/colors
            // including confidence score and bounding boxes
            System.out.format("\nResponse: %s\n", batchAnnotateImagesResponse.getResponses(0));
        } else {
            System.out.println("No MATCH");
        }
    } catch (Exception e) {
        System.out.println("Error during asyncBatchAnnotateImagesGcs: \n" + e.toString());
    }
}

Example 17 with OutputConfig

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

the class Detect method detectDocumentsGcs.

// [END vision_fulltext_detection_gcs]
// [START vision_text_detection_pdf_gcs]
/**
 * Performs document text OCR with PDF/TIFF as source files on Google Cloud Storage.
 *
 * @param gcsSourcePath The path to the remote file on Google Cloud Storage to detect document
 *     text on.
 * @param gcsDestinationPath The path to the remote file on Google Cloud Storage to store the
 *     results on.
 * @throws Exception on errors while closing the client.
 */
public static void detectDocumentsGcs(String gcsSourcePath, String gcsDestinationPath) throws Exception {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        List<AsyncAnnotateFileRequest> requests = new ArrayList<>();
        // Set the GCS source path for the remote file.
        GcsSource gcsSource = GcsSource.newBuilder().setUri(gcsSourcePath).build();
        // Create the configuration with the specified MIME (Multipurpose Internet Mail Extensions)
        // types
        InputConfig inputConfig = InputConfig.newBuilder().setMimeType(// Supported MimeTypes: "application/pdf", "image/tiff"
        "application/pdf").setGcsSource(gcsSource).build();
        // Set the GCS destination path for where to save the results.
        GcsDestination gcsDestination = GcsDestination.newBuilder().setUri(gcsDestinationPath).build();
        // Create the configuration for the System.output with the batch size.
        // The batch size sets how many pages should be grouped into each json System.output file.
        OutputConfig outputConfig = OutputConfig.newBuilder().setBatchSize(2).setGcsDestination(gcsDestination).build();
        // Select the Feature required by the vision API
        Feature feature = Feature.newBuilder().setType(Feature.Type.DOCUMENT_TEXT_DETECTION).build();
        // Build the OCR request
        AsyncAnnotateFileRequest request = AsyncAnnotateFileRequest.newBuilder().addFeatures(feature).setInputConfig(inputConfig).setOutputConfig(outputConfig).build();
        requests.add(request);
        // Perform the OCR request
        OperationFuture<AsyncBatchAnnotateFilesResponse, OperationMetadata> response = client.asyncBatchAnnotateFilesAsync(requests);
        System.out.println("Waiting for the operation to finish.");
        // Wait for the request to finish. (The result is not used, since the API saves the result to
        // the specified location on GCS.)
        List<AsyncAnnotateFileResponse> result = response.get(180, TimeUnit.SECONDS).getResponsesList();
        // Once the request has completed and the System.output has been
        // written to GCS, we can list all the System.output files.
        Storage storage = StorageOptions.getDefaultInstance().getService();
        // Get the destination location from the gcsDestinationPath
        Pattern pattern = Pattern.compile("gs://([^/]+)/(.+)");
        Matcher matcher = pattern.matcher(gcsDestinationPath);
        if (matcher.find()) {
            String bucketName = matcher.group(1);
            String prefix = matcher.group(2);
            // Get the list of objects with the given prefix from the GCS bucket
            Bucket bucket = storage.get(bucketName);
            com.google.api.gax.paging.Page<Blob> pageList = bucket.list(BlobListOption.prefix(prefix));
            Blob firstOutputFile = null;
            // List objects with the given prefix.
            System.out.println("Output files:");
            for (Blob blob : pageList.iterateAll()) {
                System.out.println(blob.getName());
                // the first two pages of the input file.
                if (firstOutputFile == null) {
                    firstOutputFile = blob;
                }
            }
            // Get the contents of the file and convert the JSON contents to an AnnotateFileResponse
            // object. If the Blob is small read all its content in one request
            // (Note: the file is a .json file)
            // Storage guide: https://cloud.google.com/storage/docs/downloading-objects
            String jsonContents = new String(firstOutputFile.getContent());
            Builder builder = AnnotateFileResponse.newBuilder();
            JsonFormat.parser().merge(jsonContents, builder);
            // Build the AnnotateFileResponse object
            AnnotateFileResponse annotateFileResponse = builder.build();
            // Parse through the object to get the actual response for the first page of the input file.
            AnnotateImageResponse annotateImageResponse = annotateFileResponse.getResponses(0);
            // Here we print the full text from the first page.
            // The response contains more information:
            // annotation/pages/blocks/paragraphs/words/symbols
            // including confidence score and bounding boxes
            System.out.format("%nText: %s%n", annotateImageResponse.getFullTextAnnotation().getText());
        } else {
            System.out.println("No MATCH");
        }
    }
}

Example 18 with OutputConfig

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

the class AsyncBatchAnnotateImages method asyncBatchAnnotateImages.

public static void asyncBatchAnnotateImages(String inputImageUri, String outputUri) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient imageAnnotatorClient = ImageAnnotatorClient.create()) {
        // You can send multiple images to be annotated, this sample demonstrates how to do this with
        // one image. If you want to use multiple images, you have to create a `AnnotateImageRequest`
        // object for each image that you want annotated.
        // First specify where the vision api can find the image
        ImageSource source = ImageSource.newBuilder().setImageUri(inputImageUri).build();
        Image image = Image.newBuilder().setSource(source).build();
        // Set the type of annotation you want to perform on the image
        // https://cloud.google.com/vision/docs/reference/rpc/google.cloud.vision.v1#google.cloud.vision.v1.Feature.Type
        Feature feature = Feature.newBuilder().setType(Feature.Type.LABEL_DETECTION).build();
        // Build the request object for that one image. Note: for additional images you have to create
        // additional `AnnotateImageRequest` objects and store them in a list to be used below.
        AnnotateImageRequest imageRequest = AnnotateImageRequest.newBuilder().setImage(image).addFeatures(feature).build();
        // Set where to store the results for the images that will be annotated.
        GcsDestination gcsDestination = GcsDestination.newBuilder().setUri(outputUri).build();
        OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).setBatchSize(// The max number of responses to output in each JSON file
        2).build();
        // Add each `AnnotateImageRequest` object to the batch request and add the output config.
        AsyncBatchAnnotateImagesRequest request = AsyncBatchAnnotateImagesRequest.newBuilder().addRequests(imageRequest).setOutputConfig(outputConfig).build();
        // Make the asynchronous batch request.
        AsyncBatchAnnotateImagesResponse response = imageAnnotatorClient.asyncBatchAnnotateImagesAsync(request).get();
        // The output is written to GCS with the provided output_uri as prefix
        String gcsOutputUri = response.getOutputConfig().getGcsDestination().getUri();
        System.out.format("Output written to GCS with prefix: %s%n", gcsOutputUri);
    }
}