Examples with Image com.google.cloud.automl.v1.Image used on opensource projects

Example 96 with Image

use of com.google.cloud.automl.v1.Image in project java-vision by googleapis.

the class DetectBeta method detectHandwrittenOcrGcs.

// [END vision_handwritten_ocr_beta]
// [START vision_handwritten_ocr_gcs_beta]
/**
 * Performs handwritten text detection on a remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to detect handwritten text
 *     on.
 * @param out A {@link PrintStream} to write the results to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectHandwrittenOcrGcs(String gcsPath, PrintStream out) throws Exception {
    List<AnnotateImageRequest> requests = new ArrayList<>();
    ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
    Image img = Image.newBuilder().setSource(imgSource).build();
    Feature feat = Feature.newBuilder().setType(Type.DOCUMENT_TEXT_DETECTION).build();
    // Set the parameters for the image
    ImageContext imageContext = ImageContext.newBuilder().addLanguageHints("en-t-i0-handwrit").build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).setImageContext(imageContext).build();
    requests.add(request);
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        client.close();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                out.printf("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();
                                out.format("Symbol text: %s (confidence: %f)\n", symbol.getText(), symbol.getConfidence());
                            }
                            out.format("Word text: %s (confidence: %f)\n\n", wordText, word.getConfidence());
                            paraText = String.format("%s %s", paraText, wordText);
                        }
                        // Output Example using Paragraph:
                        out.println("\nParagraph: \n" + paraText);
                        out.format("Paragraph Confidence: %f\n", para.getConfidence());
                        blockText = blockText + paraText;
                    }
                    pageText = pageText + blockText;
                }
            }
            out.println("\nComplete annotation:");
            out.println(annotation.getText());
        }
    }
}

Example 97 with Image

use of com.google.cloud.automl.v1.Image in project java-vision by googleapis.

the class DetectBeta method detectLocalizedObjects.

// [START vision_localize_objects_beta]
/**
 * Detects localized objects in the specified local image.
 *
 * @param filePath The path to the file to perform localized object detection on.
 * @param out A {@link PrintStream} to write detected objects to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectLocalizedObjects(String filePath, PrintStream out) throws Exception, IOException {
    List<AnnotateImageRequest> requests = new ArrayList<>();
    ByteString imgBytes = ByteString.readFrom(new FileInputStream(filePath));
    Image img = Image.newBuilder().setContent(imgBytes).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.OBJECT_LOCALIZATION)).setImage(img).build();
    requests.add(request);
    // Perform the request
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        // Display the results
        for (AnnotateImageResponse res : responses) {
            for (LocalizedObjectAnnotation entity : res.getLocalizedObjectAnnotationsList()) {
                out.format("Object name: %s\n", entity.getName());
                out.format("Confidence: %s\n", entity.getScore());
                out.format("Normalized Vertices:\n");
                entity.getBoundingPoly().getNormalizedVerticesList().forEach(vertex -> out.format("- (%s, %s)\n", vertex.getX(), vertex.getY()));
            }
        }
    }
}

Example 98 with Image

use of com.google.cloud.automl.v1.Image 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 99 with Image

use of com.google.cloud.automl.v1.Image 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);
    }
}

Example 100 with Image

use of com.google.cloud.automl.v1.Image in project java-vision by googleapis.

the class DetectLogosGcs method detectLogosGcs.

// Detects logos in the specified remote image on Google Cloud Storage.
public static void detectLogosGcs(String gcsPath) throws IOException {
    List<AnnotateImageRequest> requests = new ArrayList<>();
    ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
    Image img = Image.newBuilder().setSource(imgSource).build();
    Feature feat = Feature.newBuilder().setType(Feature.Type.LOGO_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();
        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
            for (EntityAnnotation annotation : res.getLogoAnnotationsList()) {
                System.out.println(annotation.getDescription());
            }
        }
    }
}