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

Example 26 with Feature

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

the class Detect method detectLandmarksUrl.

/**
 * Detects landmarks in the specified URI.
 *
 * @param uri 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 detectLandmarksUrl(String uri, PrintStream out) throws Exception, IOException {
    List<AnnotateImageRequest> requests = new ArrayList<>();
    ImageSource imgSource = ImageSource.newBuilder().setImageUri(uri).build();
    Image img = Image.newBuilder().setSource(imgSource).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 27 with Feature

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

the class Detect method detectLandmarksGcs.

/**
 * Detects landmarks in the specified remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage 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 detectLandmarksGcs(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.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 28 with Feature

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

the class Detect method detectPropertiesGcs.

/**
 * Detects image properties such as color frequency from the specified remote image on Google
 * Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to detect properties on.
 * @param out A {@link PrintStream} to write
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectPropertiesGcs(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.IMAGE_PROPERTIES).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
            DominantColorsAnnotation colors = res.getImagePropertiesAnnotation().getDominantColors();
            for (ColorInfo color : colors.getColorsList()) {
                out.printf("fraction: %f\nr: %f, g: %f, b: %f\n", color.getPixelFraction(), color.getColor().getRed(), color.getColor().getGreen(), color.getColor().getBlue());
            }
        }
    }
}

Example 29 with Feature

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

the class Detect method detectLogosGcs.

/**
 * Detects logos in the specified remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage 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 detectLogosGcs(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.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 30 with Feature

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

the class QuickstartSample method main.

public static void main(String... args) throws Exception {
    // Instantiates a client
    try (ImageAnnotatorClient vision = ImageAnnotatorClient.create()) {
        // The path to the image file to annotate
        String fileName = "./resources/wakeupcat.jpg";
        // Reads the image file into memory
        Path path = Paths.get(fileName);
        byte[] data = Files.readAllBytes(path);
        ByteString imgBytes = ByteString.copyFrom(data);
        // Builds the image annotation request
        List<AnnotateImageRequest> requests = new ArrayList<>();
        Image img = Image.newBuilder().setContent(imgBytes).build();
        Feature feat = Feature.newBuilder().setType(Type.LABEL_DETECTION).build();
        AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
        requests.add(request);
        // Performs label detection on the image file
        BatchAnnotateImagesResponse response = vision.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                System.out.printf("Error: %s\n", res.getError().getMessage());
                return;
            }
            for (EntityAnnotation annotation : res.getLabelAnnotationsList()) {
                annotation.getAllFields().forEach((k, v) -> System.out.printf("%s : %s\n", k, v.toString()));
            }
        }
    }
}