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

Example 21 with Feature

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

the class Detect method detectText.

/**
 * Detects text in the specified image.
 *
 * @param filePath The path to the file 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 detectText(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.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());
            }
        }
    }
}

Example 22 with Feature

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

the class Detect method detectLogos.

/**
 * Detects logos in the specified local image.
 *
 * @param filePath The path to the local file to perform logo detection on.
 * @param out A {@link PrintStream} to write detected logos to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectLogos(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.LOGO_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.getLogoAnnotationsList()) {
                out.println(annotation.getDescription());
            }
        }
    }
}

Example 23 with Feature

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

the class Detect method detectWebEntitiesIncludeGeoResultsGcs.

// [END vision_web_entities_include_geo_results]
// [START vision_web_entities_include_geo_results_uri]
/**
 * 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 with
 *                geo results.
 * @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 detectWebEntitiesIncludeGeoResultsGcs(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();
        // 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(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 -> {
            out.format("Description: %s\n", entity.getDescription());
            out.format("Score: %f\n", entity.getScore());
        }));
    }
}

Example 24 with Feature

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

the class Detect method detectLandmarks.

/**
 * Detects landmarks in the specified local image.
 *
 * @param filePath The path to the file to perform landmark detection on.
 * @param out A {@link PrintStream} to write detected landmarks to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectLandmarks(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.LANDMARK_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.getLandmarkAnnotationsList()) {
                LocationInfo info = annotation.getLocationsList().listIterator().next();
                out.printf("Landmark: %s\n %s\n", annotation.getDescription(), info.getLatLng());
            }
        }
    }
}

Example 25 with Feature

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

the class Detect method detectWebEntities.

// [END vision_detect_web_uri]
/**
 * Find web entities given a local image.
 * @param filePath The path of the image to detect.
 * @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 detectWebEntities(String filePath, PrintStream out) throws Exception, IOException {
    // Instantiates a client
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        // Read in the local image
        ByteString contents = ByteString.readFrom(new FileInputStream(filePath));
        // Build the image
        Image image = Image.newBuilder().setContent(contents).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 -> {
            out.format("Description: %s\n", entity.getDescription());
            out.format("Score: %f\n", entity.getScore());
        }));
    }
}