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

Example 1 with ImageSource

use of com.google.cloud.vision.v1p4beta1.ImageSource in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectLabelsGcs.

/**
 * Detects labels in the specified remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to perform label detection
 *                on.
 * @param out A {@link PrintStream} to write detected features to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectLabelsGcs(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();
    Feature feat = Feature.newBuilder().setType(Type.LABEL_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        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
            for (EntityAnnotation annotation : res.getLabelAnnotationsList()) {
                annotation.getAllFields().forEach((k, v) -> out.printf("%s : %s\n", k, v.toString()));
            }
        }
    }
}

Example 2 with ImageSource

use of com.google.cloud.vision.v1p4beta1.ImageSource in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectFacesGcs.

/**
 * Detects faces in the specified remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to perform face detection
 *                on.
 * @param out A {@link PrintStream} to write detected features to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectFacesGcs(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();
    Feature feat = Feature.newBuilder().setType(Type.FACE_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        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
            for (FaceAnnotation annotation : res.getFaceAnnotationsList()) {
                out.printf("anger: %s\njoy: %s\nsurprise: %s\nposition: %s", annotation.getAngerLikelihood(), annotation.getJoyLikelihood(), annotation.getSurpriseLikelihood(), annotation.getBoundingPoly());
            }
        }
    }
}

Example 3 with ImageSource

use of com.google.cloud.vision.v1p4beta1.ImageSource in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectDocumentTextGcs.

// [END vision_detect_document]
// [START vision_detect_document_uri]
/**
 * 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.
 * @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 detectDocumentTextGcs(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();
    Feature feat = Feature.newBuilder().setType(Type.DOCUMENT_TEXT_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).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 4 with ImageSource

use of com.google.cloud.vision.v1p4beta1.ImageSource in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectSafeSearchGcs.

// [END vision_detect_safe_search]
// [START vision_detect_safe_search_uri]
/**
 * Detects whether the specified image on Google Cloud Storage has features you would want
 * to moderate.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to detect safe-search 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 detectSafeSearchGcs(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();
    Feature feat = Feature.newBuilder().setType(Type.SAFE_SEARCH_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        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
            SafeSearchAnnotation annotation = res.getSafeSearchAnnotation();
            out.printf("adult: %s\nmedical: %s\nspoofed: %s\nviolence: %s\nracy: %s\n", annotation.getAdult(), annotation.getMedical(), annotation.getSpoof(), annotation.getViolence(), annotation.getRacy());
        }
    }
}

Example 5 with ImageSource

use of com.google.cloud.vision.v1p4beta1.ImageSource 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);
    }
}