Examples with Feature de.micromata.opengis.kml.v_2_2_0.Feature used on opensource projects

Example 16 with Feature

use of de.micromata.opengis.kml.v_2_2_0.Feature in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectWebDetectionsGcs.

// [END vision_detect_web]
// [START vision_detect_web_uri]
/**
 * Detects whether the remote image on Google Cloud Storage has features you would want to
 * moderate.
 *
 * @param gcsPath The path to the remote on Google Cloud Storage file to detect web annotations.
 * @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 detectWebDetectionsGcs(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.WEB_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;
            }
            // Search the web for usages of the image. You could use these signals later
            // for user input moderation or linking external references.
            // For a full list of available annotations, see http://g.co/cloud/vision/docs
            WebDetection annotation = res.getWebDetection();
            out.println("Entity:Id:Score");
            out.println("===============");
            for (WebEntity entity : annotation.getWebEntitiesList()) {
                out.println(entity.getDescription() + " : " + entity.getEntityId() + " : " + entity.getScore());
            }
            for (WebLabel label : annotation.getBestGuessLabelsList()) {
                out.format("\nBest guess label: %s", label.getLabel());
            }
            out.println("\nPages with matching images: Score\n==");
            for (WebPage page : annotation.getPagesWithMatchingImagesList()) {
                out.println(page.getUrl() + " : " + page.getScore());
            }
            out.println("\nPages with partially matching images: Score\n==");
            for (WebImage image : annotation.getPartialMatchingImagesList()) {
                out.println(image.getUrl() + " : " + image.getScore());
            }
            out.println("\nPages with fully matching images: Score\n==");
            for (WebImage image : annotation.getFullMatchingImagesList()) {
                out.println(image.getUrl() + " : " + image.getScore());
            }
            out.println("\nPages with visually similar images: Score\n==");
            for (WebImage image : annotation.getVisuallySimilarImagesList()) {
                out.println(image.getUrl() + " : " + image.getScore());
            }
        }
    }
}

Example 17 with Feature

use of de.micromata.opengis.kml.v_2_2_0.Feature in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectWebEntitiesGcs.

/**
 * Find web entities given the remote image on Google Cloud Storage.
 * @param gcsPath The path to the remote file on Google Cloud Storage to detect web entities.
 * @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 detectWebEntitiesGcs(String gcsPath, PrintStream out) throws Exception, IOException {
    // Instantiates a client
    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();
        // Create the request with the image and the specified feature: web detection
        AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.WEB_DETECTION)).setImage(image).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 18 with Feature

use of de.micromata.opengis.kml.v_2_2_0.Feature in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectCropHintsGcs.

/**
 * Suggests a region to crop to for a remote file on Google Cloud Storage.
 *
 * @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 detectCropHintsGcs(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.CROP_HINTS).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
            CropHintsAnnotation annotation = res.getCropHintsAnnotation();
            for (CropHint hint : annotation.getCropHintsList()) {
                out.println(hint.getBoundingPoly());
            }
        }
    }
}

Example 19 with Feature

use of de.micromata.opengis.kml.v_2_2_0.Feature in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectSafeSearch.

// [START vision_detect_safe_search]
/**
 * Detects whether the specified image has features you would want to moderate.
 *
 * @param filePath The path to the local file used for safe search detection.
 * @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 detectSafeSearch(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();
    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 20 with Feature

use of de.micromata.opengis.kml.v_2_2_0.Feature in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectTextGcs.

/**
 * Detects text in the specified remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to detect text in.
 * @param out A {@link PrintStream} to write the detected text to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectTextGcs(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.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();
        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.getTextAnnotationsList()) {
                out.printf("Text: %s\n", annotation.getDescription());
                out.printf("Position : %s\n", annotation.getBoundingPoly());
            }
        }
    }
}