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

Example 21 with BatchAnnotateImagesResponse

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

the class ITSystemTest method getResponsesList.

private static List<AnnotateImageResponse> getResponsesList(String image, Type type, boolean isGcs) throws IOException {
    ImageSource imgSource;
    Image img;
    if (isGcs) {
        imgSource = ImageSource.newBuilder().setGcsImageUri(SAMPLE_BUCKET + image).build();
        img = Image.newBuilder().setSource(imgSource).build();
    } else {
        ByteString imgBytes = ByteString.readFrom(new FileInputStream(RESOURCES + image));
        img = Image.newBuilder().setContent(imgBytes).build();
    }
    Feature feat = Feature.newBuilder().setType(type).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    BatchAnnotateImagesResponse response = imageAnnotatorClient.batchAnnotateImages(ImmutableList.of(request));
    return response.getResponsesList();
}

Example 22 with BatchAnnotateImagesResponse

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

the class DetectWebEntitiesIncludeGeoResultsGcs method detectWebEntitiesIncludeGeoResultsGcs.

// Find web entities given the remote image on Google Cloud Storage.
public static void detectWebEntitiesIncludeGeoResultsGcs(String gcsPath) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        // Set the image source to the given gs uri
        ImageSource imageSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
        // Build the image
        Image image = Image.newBuilder().setSource(imageSource).build();
        // Enable `IncludeGeoResults`
        WebDetectionParams webDetectionParams = WebDetectionParams.newBuilder().setIncludeGeoResults(true).build();
        // Set the parameters for the image
        ImageContext imageContext = ImageContext.newBuilder().setWebDetectionParams(webDetectionParams).build();
        // Create the request with the image, imageContext, and the specified feature: web detection
        AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Feature.Type.WEB_DETECTION)).setImage(image).setImageContext(imageContext).build();
        // Perform the request
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(Arrays.asList(request));
        // Display the results
        response.getResponsesList().stream().forEach(r -> r.getWebDetection().getWebEntitiesList().stream().forEach(entity -> {
            System.out.format("Description: %s%n", entity.getDescription());
            System.out.format("Score: %f%n", entity.getScore());
        }));
    }
}

Example 23 with BatchAnnotateImagesResponse

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

the class Detect method detectLocalizedObjectsGcs.

// [END vision_localize_objects]
// [START vision_localize_objects_gcs]
/**
 * Detects localized objects in a remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to detect localized objects
 *     on.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectLocalizedObjectsGcs(String gcsPath) throws IOException {
    List<AnnotateImageRequest> requests = new ArrayList<>();
    ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
    Image img = Image.newBuilder().setSource(imgSource).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.OBJECT_LOCALIZATION)).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()) {
        // Perform the request
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        client.close();
        // Display the results
        for (AnnotateImageResponse res : responses) {
            for (LocalizedObjectAnnotation entity : res.getLocalizedObjectAnnotationsList()) {
                System.out.format("Object name: %s%n", entity.getName());
                System.out.format("Confidence: %s%n", entity.getScore());
                System.out.format("Normalized Vertices:%n");
                entity.getBoundingPoly().getNormalizedVerticesList().forEach(vertex -> System.out.format("- (%s, %s)%n", vertex.getX(), vertex.getY()));
            }
        }
    }
}

Example 24 with BatchAnnotateImagesResponse

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

the class Detect method detectDocumentTextGcs.

// [END vision_fulltext_detection]
/**
 * Performs document text detection on a remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to detect document text on.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
// [START vision_fulltext_detection_gcs]
public static void detectDocumentTextGcs(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(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 25 with BatchAnnotateImagesResponse

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

the class Detect method detectLocalizedObjects.

// [END vision_text_detection_pdf_gcs]
// [START vision_localize_objects]
/**
 * Detects localized objects in the specified local image.
 *
 * @param filePath The path to the file to perform localized object detection on.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectLocalizedObjects(String filePath) throws 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);
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        // Perform the request
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        // Display the results
        for (AnnotateImageResponse res : responses) {
            for (LocalizedObjectAnnotation entity : res.getLocalizedObjectAnnotationsList()) {
                System.out.format("Object name: %s%n", entity.getName());
                System.out.format("Confidence: %s%n", entity.getScore());
                System.out.format("Normalized Vertices:%n");
                entity.getBoundingPoly().getNormalizedVerticesList().forEach(vertex -> System.out.format("- (%s, %s)%n", vertex.getX(), vertex.getY()));
            }
        }
    }
}