use of com.google.cloud.vision.v1.ImportProductSetsGcsSource.Builder 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");
}
}
}
use of com.google.cloud.vision.v1.ImportProductSetsGcsSource.Builder in project java-vision by googleapis.
the class ImportProductSets method importProductSets.
// [START vision_product_search_import_product_images]
/**
* Import images of different products in the product set.
*
* @param projectId - Id of the project.
* @param computeRegion - Region name.
* @param gcsUri - Google Cloud Storage URI.Target files must be in Product Search CSV format.
* @throws Exception - on client errors.
*/
public static void importProductSets(String projectId, String computeRegion, String gcsUri) throws Exception {
try (ProductSearchClient client = ProductSearchClient.create()) {
// A resource that represents Google Cloud Platform location.
String formattedParent = ProductSearchClient.formatLocationName(projectId, computeRegion);
Builder gcsSource = ImportProductSetsGcsSource.newBuilder().setCsvFileUri(gcsUri);
// Set the input configuration along with Google Cloud Storage URI
ImportProductSetsInputConfig inputConfig = ImportProductSetsInputConfig.newBuilder().setGcsSource(gcsSource).build();
// Import the product sets from the input URI.
OperationFuture<ImportProductSetsResponse, BatchOperationMetadata> response = client.importProductSetsAsync(formattedParent, inputConfig);
System.out.println(String.format("Processing operation name: %s", response.getName()));
ImportProductSetsResponse results = response.get();
System.out.println("Processing done.");
System.out.println("Results of the processing:");
for (int i = 0; i < results.getStatusesCount(); i++) {
System.out.println(String.format("Status of processing line %s of the csv: %s", i, results.getStatuses(i)));
// Check the status of reference image.
if (results.getStatuses(i).getCode() == 0) {
ReferenceImage referenceImage = results.getReferenceImages(i);
System.out.println(referenceImage);
} else {
System.out.println("No reference image.");
}
}
}
}
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