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

Example 31 with Image

use of com.google.cloud.automl.v1.Image in project java-docs-samples by GoogleCloudPlatform.

the class CreateWindowsOsImage method createWindowsOsImage.

// Creates a new Windows image from the specified source disk.
public static void createWindowsOsImage(String project, String zone, String sourceDiskName, String imageName, String storageLocation, boolean forceCreate) throws IOException, ExecutionException, InterruptedException, TimeoutException {
    try (ImagesClient imagesClient = ImagesClient.create();
        InstancesClient instancesClient = InstancesClient.create();
        DisksClient disksClient = DisksClient.create()) {
        Disk disk = disksClient.get(project, zone, sourceDiskName);
        // Getting instances where source disk is attached.
        for (String fullInstanceName : disk.getUsersList()) {
            Map<String, String> instanceInfo = parseInstanceName(fullInstanceName);
            Instance instance = instancesClient.get(instanceInfo.get("instanceProjectId"), instanceInfo.get("instanceZone"), instanceInfo.get("instanceName"));
            // Сhecking whether the instances is stopped.
            if (!Arrays.asList("TERMINATED", "STOPPED").contains(instance.getStatus()) && !forceCreate) {
                throw new IllegalStateException(String.format("Instance %s should be stopped. Please stop the instance using GCESysprep command or set forceCreate parameter to true (not recommended). More information here: https://cloud.google.com/compute/docs/instances/windows/creating-windows-os-image#api.", instanceInfo.get("instanceName")));
            }
        }
        if (forceCreate) {
            System.out.println("Warning: forceCreate option compromise the integrity of your image. " + "Stop the instance before you create the image if possible.");
        }
        // Create Image.
        Image image = Image.newBuilder().setName(imageName).setSourceDisk(String.format("/zones/%s/disks/%s", zone, sourceDiskName)).addStorageLocations(storageLocation.isEmpty() ? "" : storageLocation).build();
        InsertImageRequest insertImageRequest = InsertImageRequest.newBuilder().setProject(project).setForceCreate(forceCreate).setImageResource(image).build();
        Operation response = imagesClient.insertAsync(insertImageRequest).get(3, TimeUnit.MINUTES);
        if (response.hasError()) {
            System.out.println("Windows OS Image creation failed ! ! " + response);
            return;
        }
        System.out.println("Image created.");
    }
}

Example 32 with Image

use of com.google.cloud.automl.v1.Image in project java-docs-samples by GoogleCloudPlatform.

the class ImageMagick method accept.

// [END functions_imagemagick_setup]
// [START functions_imagemagick_analyze]
@Override
public // Blurs uploaded images that are flagged as Adult or Violence.
void accept(CloudEvent event) {
    // Extract the GCS Event data from the CloudEvent's data payload.
    GcsEvent data = getEventData(event);
    // Validate parameters
    if (data.getBucket() == null || data.getName() == null) {
        logger.severe("Error: Malformed GCS event.");
        return;
    }
    BlobInfo blobInfo = BlobInfo.newBuilder(data.getBucket(), data.getName()).build();
    // Construct URI to GCS bucket and file.
    String gcsPath = String.format("gs://%s/%s", data.getBucket(), data.getName());
    logger.info(String.format("Analyzing %s", data.getName()));
    // Construct request.
    ImageSource imgSource = ImageSource.newBuilder().setImageUri(gcsPath).build();
    Image img = Image.newBuilder().setSource(imgSource).build();
    Feature feature = Feature.newBuilder().setType(Type.SAFE_SEARCH_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feature).setImage(img).build();
    List<AnnotateImageRequest> requests = List.of(request);
    // Send request to the Vision API.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                logger.info(String.format("Error: %s", res.getError().getMessage()));
                return;
            }
            // Get Safe Search Annotations
            SafeSearchAnnotation annotation = res.getSafeSearchAnnotation();
            if (annotation.getAdultValue() == 5 || annotation.getViolenceValue() == 5) {
                logger.info(String.format("Detected %s as inappropriate.", data.getName()));
                blur(blobInfo);
            } else {
                logger.info(String.format("Detected %s as OK.", data.getName()));
            }
        }
    } catch (IOException e) {
        logger.log(Level.SEVERE, "Error with Vision API: " + e.getMessage(), e);
    }
}

Example 33 with Image

use of com.google.cloud.automl.v1.Image in project java-docs-samples by GoogleCloudPlatform.

the class ImageMagick method accept.

// [END functions_imagemagick_setup]
// [START functions_imagemagick_analyze]
@Override
public // Blurs uploaded images that are flagged as Adult or Violence.
void accept(GcsEvent event, Context context) {
    // Validate parameters
    if (event.getBucket() == null || event.getName() == null) {
        logger.severe("Error: Malformed GCS event.");
        return;
    }
    BlobInfo blobInfo = BlobInfo.newBuilder(event.getBucket(), event.getName()).build();
    // Construct URI to GCS bucket and file.
    String gcsPath = String.format("gs://%s/%s", event.getBucket(), event.getName());
    logger.info(String.format("Analyzing %s", event.getName()));
    // Construct request.
    ImageSource imgSource = ImageSource.newBuilder().setImageUri(gcsPath).build();
    Image img = Image.newBuilder().setSource(imgSource).build();
    Feature feature = Feature.newBuilder().setType(Type.SAFE_SEARCH_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feature).setImage(img).build();
    List<AnnotateImageRequest> requests = List.of(request);
    // Send request to the Vision API.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                logger.info(String.format("Error: %s", res.getError().getMessage()));
                return;
            }
            // Get Safe Search Annotations
            SafeSearchAnnotation annotation = res.getSafeSearchAnnotation();
            if (annotation.getAdultValue() == 5 || annotation.getViolenceValue() == 5) {
                logger.info(String.format("Detected %s as inappropriate.", event.getName()));
                blur(blobInfo);
            } else {
                logger.info(String.format("Detected %s as OK.", event.getName()));
            }
        }
    } catch (IOException e) {
        logger.log(Level.SEVERE, "Error with Vision API: " + e.getMessage(), e);
    }
}

Example 34 with Image

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

the class DetectBeta method detectLocalizedObjectsGcs.

// [END vision_localize_objects_beta]
// [START vision_localize_objects_gcs_beta]
/**
 * 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.
 * @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 detectLocalizedObjectsGcs(String gcsPath, PrintStream out) throws Exception, 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);
    // Perform the request
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        client.close();
        // 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 35 with Image

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

the class DetectBeta method detectHandwrittenOcr.

// [END vision_localize_objects_gcs_beta]
// [START vision_handwritten_ocr_beta]
/**
 * Performs handwritten text detection on a local image file.
 *
 * @param filePath The path to the local file 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 detectHandwrittenOcr(String filePath, PrintStream out) throws Exception {
    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();
    // Set the Language Hint codes for handwritten OCR
    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());
        }
    }
}