use of com.google.cloud.translate.v3.InputConfig 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.translate.v3.InputConfig in project java-vision by googleapis.
the class DetectBatchAnnotateFilesGcs method detectBatchAnnotateFilesGcs.
// Performs document feature detection on a remote PDF/TIFF/GIF file on Google Cloud Storage.
public static void detectBatchAnnotateFilesGcs(String gcsPath) {
try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
// Annotate the first two pages and the last one (max 5 pages)
// First page starts at 1, and not 0. Last page is -1.
List<Integer> pages = Arrays.asList(1, 2, -1);
GcsSource gcsSource = GcsSource.newBuilder().setUri(gcsPath).build();
Feature feat = Feature.newBuilder().setType(Type.DOCUMENT_TEXT_DETECTION).build();
// Other supported mime types : 'image/tiff' or 'image/gif'
InputConfig inputConfig = InputConfig.newBuilder().setMimeType("application/pdf").setGcsSource(gcsSource).build();
AnnotateFileRequest request = AnnotateFileRequest.newBuilder().addFeatures(feat).setInputConfig(inputConfig).addAllPages(pages).build();
List<AnnotateFileRequest> requests = new ArrayList<>();
requests.add(request);
BatchAnnotateFilesRequest batchAnnotateFilesRequest = BatchAnnotateFilesRequest.newBuilder().addAllRequests(requests).build();
ApiFuture<BatchAnnotateFilesResponse> future = client.batchAnnotateFilesCallable().futureCall(batchAnnotateFilesRequest);
BatchAnnotateFilesResponse response = future.get();
// Getting the first response
AnnotateFileResponse annotateFileResponse = response.getResponses(0);
// For full list of available annotations, see http://g.co/cloud/vision/docs
TextAnnotation textAnnotation = annotateFileResponse.getResponses(0).getFullTextAnnotation();
for (Page page : textAnnotation.getPagesList()) {
String pageText = "";
for (Block block : page.getBlocksList()) {
String blockText = "";
for (Paragraph para : block.getParagraphsList()) {
String paraText = "";
for (Word word : para.getWordsList()) {
String wordText = "";
for (Symbol symbol : word.getSymbolsList()) {
wordText = wordText + symbol.getText();
System.out.format("Symbol text: %s (Confidence: %f)\n", symbol.getText(), symbol.getConfidence());
}
System.out.format("Word text: %s (Confidence: %f)\n\n", wordText, word.getConfidence());
paraText = String.format("%s %s", paraText, wordText);
}
// Output Example using Paragraph:
System.out.println("\nParagraph: \n" + paraText);
System.out.format("Paragraph Confidence: %f\n", para.getConfidence());
blockText = blockText + paraText;
}
pageText = pageText + blockText;
}
}
System.out.println("\nComplete annotation:");
System.out.println(textAnnotation.getText());
} catch (Exception e) {
System.out.println("Error during detectPdfText: \n" + e.toString());
}
}
use of com.google.cloud.translate.v3.InputConfig in project java-vision by googleapis.
the class DetectBatchAnnotateFiles method detectBatchAnnotateFiles.
// Performs document feature detection on a local PDF/TIFF/GIF file.
public static void detectBatchAnnotateFiles(String filePath) {
try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
// Annotate the first two pages and the last one (max 5 pages)
// First page starts at 1, and not 0. Last page is -1.
List<Integer> pages = Arrays.asList(1, 2, -1);
ByteString pdfBytes = ByteString.readFrom(new FileInputStream(filePath));
Feature feat = Feature.newBuilder().setType(Type.DOCUMENT_TEXT_DETECTION).build();
// Other supported mime types : 'image/tiff' or 'image/gif'
InputConfig inputConfig = InputConfig.newBuilder().setMimeType("application/pdf").setContent(pdfBytes).build();
AnnotateFileRequest request = AnnotateFileRequest.newBuilder().addFeatures(feat).setInputConfig(inputConfig).addAllPages(pages).build();
List<AnnotateFileRequest> requests = new ArrayList<>();
requests.add(request);
BatchAnnotateFilesRequest batchAnnotateFilesRequest = BatchAnnotateFilesRequest.newBuilder().addAllRequests(requests).build();
ApiFuture<BatchAnnotateFilesResponse> future = client.batchAnnotateFilesCallable().futureCall(batchAnnotateFilesRequest);
BatchAnnotateFilesResponse response = future.get();
// Getting the first response
AnnotateFileResponse annotateFileResponse = response.getResponses(0);
// For full list of available annotations, see http://g.co/cloud/vision/docs
TextAnnotation textAnnotation = annotateFileResponse.getResponses(0).getFullTextAnnotation();
for (Page page : textAnnotation.getPagesList()) {
String pageText = "";
for (Block block : page.getBlocksList()) {
String blockText = "";
for (Paragraph para : block.getParagraphsList()) {
String paraText = "";
for (Word word : para.getWordsList()) {
String wordText = "";
for (Symbol symbol : word.getSymbolsList()) {
wordText = wordText + symbol.getText();
System.out.format("Symbol text: %s (Confidence: %f)\n", symbol.getText(), symbol.getConfidence());
}
System.out.format("Word text: %s (Confidence: %f)\n\n", wordText, word.getConfidence());
paraText = String.format("%s %s", paraText, wordText);
}
// Output Example using Paragraph:
System.out.println("\nParagraph: \n" + paraText);
System.out.format("Paragraph Confidence: %f\n", para.getConfidence());
blockText = blockText + paraText;
}
pageText = pageText + blockText;
}
}
System.out.println("\nComplete annotation:");
System.out.println(textAnnotation.getText());
} catch (Exception e) {
System.out.println("Error during detectPdfText: \n" + e.toString());
}
}
use of com.google.cloud.translate.v3.InputConfig in project java-vision by googleapis.
the class BatchAnnotateFiles method batchAnnotateFiles.
public static void batchAnnotateFiles(String filePath) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (ImageAnnotatorClient imageAnnotatorClient = ImageAnnotatorClient.create()) {
// You can send multiple files to be annotated, this sample demonstrates how to do this with
// one file. If you want to use multiple files, you have to create a `AnnotateImageRequest`
// object for each file that you want annotated.
// First read the files contents
Path path = Paths.get(filePath);
byte[] data = Files.readAllBytes(path);
ByteString content = ByteString.copyFrom(data);
// Specify the input config with the file's contents and its type.
// Supported mime_type: application/pdf, image/tiff, image/gif
// https://cloud.google.com/vision/docs/reference/rpc/google.cloud.vision.v1#inputconfig
InputConfig inputConfig = InputConfig.newBuilder().setMimeType("application/pdf").setContent(content).build();
// Set the type of annotation you want to perform on the file
// 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.DOCUMENT_TEXT_DETECTION).build();
// Build the request object for that one file. Note: for additional file you have to create
// additional `AnnotateFileRequest` objects and store them in a list to be used below.
// Since we are sending a file of type `application/pdf`, we can use the `pages` field to
// specify which pages to process. The service can process up to 5 pages per document file.
// https://cloud.google.com/vision/docs/reference/rpc/google.cloud.vision.v1#google.cloud.vision.v1.AnnotateFileRequest
AnnotateFileRequest fileRequest = AnnotateFileRequest.newBuilder().setInputConfig(inputConfig).addFeatures(feature).addPages(// Process the first page
1).addPages(// Process the second page
2).addPages(// Process the last page
-1).build();
// Add each `AnnotateFileRequest` object to the batch request.
BatchAnnotateFilesRequest request = BatchAnnotateFilesRequest.newBuilder().addRequests(fileRequest).build();
// Make the synchronous batch request.
BatchAnnotateFilesResponse response = imageAnnotatorClient.batchAnnotateFiles(request);
// sample.
for (AnnotateImageResponse imageResponse : response.getResponsesList().get(0).getResponsesList()) {
System.out.format("Full text: %s%n", imageResponse.getFullTextAnnotation().getText());
for (Page page : imageResponse.getFullTextAnnotation().getPagesList()) {
for (Block block : page.getBlocksList()) {
System.out.format("%nBlock confidence: %s%n", block.getConfidence());
for (Paragraph par : block.getParagraphsList()) {
System.out.format("\tParagraph confidence: %s%n", par.getConfidence());
for (Word word : par.getWordsList()) {
System.out.format("\t\tWord confidence: %s%n", word.getConfidence());
for (Symbol symbol : word.getSymbolsList()) {
System.out.format("\t\t\tSymbol: %s, (confidence: %s)%n", symbol.getText(), symbol.getConfidence());
}
}
}
}
}
}
}
}
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