Examples with ImageAnnotatorClient com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient used on opensource projects

Example 56 with ImageAnnotatorClient

use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient in project java-vision by googleapis.

the class ProductSearch method getSimilarProductsFile.

// [START vision_product_search_get_similar_products]
/**
 * Search similar products to image in local file.
 *
 * @param projectId - Id of the project.
 * @param computeRegion - Region name.
 * @param productSetId - Id of the product set.
 * @param productCategory - Category of the product.
 * @param filePath - Local file path of the image to be searched
 * @param filter - Condition to be applied on the labels. Example for filter: (color = red OR
 *     color = blue) AND style = kids It will search on all products with the following labels:
 *     color:red AND style:kids color:blue AND style:kids
 * @throws IOException - on I/O errors.
 */
public static void getSimilarProductsFile(String projectId, String computeRegion, String productSetId, String productCategory, String filePath, String filter) throws IOException {
    try (ImageAnnotatorClient queryImageClient = ImageAnnotatorClient.create()) {
        // Get the full path of the product set.
        String productSetPath = ProductSearchClient.formatProductSetName(projectId, computeRegion, productSetId);
        // Read the image as a stream of bytes.
        File imgPath = new File(filePath);
        byte[] content = Files.readAllBytes(imgPath.toPath());
        // Create annotate image request along with product search feature.
        Feature featuresElement = Feature.newBuilder().setType(Type.PRODUCT_SEARCH).build();
        // The input image can be a HTTPS link or Raw image bytes.
        // Example:
        // To use HTTP link replace with below code
        // ImageSource source = ImageSource.newBuilder().setImageUri(imageUri).build();
        // Image image = Image.newBuilder().setSource(source).build();
        Image image = Image.newBuilder().setContent(ByteString.copyFrom(content)).build();
        ImageContext imageContext = ImageContext.newBuilder().setProductSearchParams(ProductSearchParams.newBuilder().setProductSet(productSetPath).addProductCategories(productCategory).setFilter(filter)).build();
        AnnotateImageRequest annotateImageRequest = AnnotateImageRequest.newBuilder().addFeatures(featuresElement).setImage(image).setImageContext(imageContext).build();
        List<AnnotateImageRequest> requests = Arrays.asList(annotateImageRequest);
        // Search products similar to the image.
        BatchAnnotateImagesResponse response = queryImageClient.batchAnnotateImages(requests);
        List<Result> similarProducts = response.getResponses(0).getProductSearchResults().getResultsList();
        System.out.println("Similar Products: ");
        for (Result product : similarProducts) {
            System.out.println(String.format("\nProduct name: %s", product.getProduct().getName()));
            System.out.println(String.format("Product display name: %s", product.getProduct().getDisplayName()));
            System.out.println(String.format("Product description: %s", product.getProduct().getDescription()));
            System.out.println(String.format("Score(Confidence): %s", product.getScore()));
            System.out.println(String.format("Image name: %s", product.getImage()));
        }
    }
}

Example 57 with ImageAnnotatorClient

use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient 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 58 with ImageAnnotatorClient

use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient 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 59 with ImageAnnotatorClient

use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient in project java-vision by googleapis.

the class Detect method detectDocumentText.

/**
 * Performs document text detection on a local image file.
 *
 * @param filePath The path to the local file to detect document text on.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
// [START vision_fulltext_detection]
public static void detectDocumentText(String filePath) throws IOException {
    List<AnnotateImageRequest> requests = new ArrayList<>();
    ByteString imgBytes = ByteString.readFrom(new FileInputStream(filePath));
    Image img = Image.newBuilder().setContent(imgBytes).build();
    Feature feat = Feature.newBuilder().setType(Type.DOCUMENT_TEXT_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        client.close();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                System.out.format("Error: %s%n", res.getError().getMessage());
                return;
            }
            // For full list of available annotations, see http://g.co/cloud/vision/docs
            TextAnnotation annotation = res.getFullTextAnnotation();
            for (Page page : annotation.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(annotation.getText());
        }
    }
}

Example 60 with ImageAnnotatorClient

use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient 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());
    }
}