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

Example 11 with Feature

use of de.micromata.opengis.kml.v_2_2_0.Feature 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 12 with Feature

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

the class Detect method detectProperties.

/**
 * Detects image properties such as color frequency from the specified local image.
 *
 * @param filePath The path to the file to detect properties.
 * @param out A {@link PrintStream} to write
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectProperties(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.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 13 with Feature

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

the class Detect method detectCropHints.

// [END vision_web_entities_include_geo_results_uri]
/**
 * Suggests a region to crop to for a local file.
 *
 * @param filePath The path to the local file used for web annotation 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 detectCropHints(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.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 14 with Feature

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

the class Detect method detectWebEntitiesIncludeGeoResults.

// [START vision_web_entities_include_geo_results]
/**
 * 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 detectWebEntitiesIncludeGeoResults(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();
        // 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 15 with Feature

use of de.micromata.opengis.kml.v_2_2_0.Feature in project google-cloud-java by GoogleCloudPlatform.

the class VideoIntelligenceServiceClientTest method annotateVideoTest.

@Test
@SuppressWarnings("all")
public void annotateVideoTest() throws Exception {
    AnnotateVideoResponse expectedResponse = AnnotateVideoResponse.newBuilder().build();
    Operation resultOperation = Operation.newBuilder().setName("annotateVideoTest").setDone(true).setResponse(Any.pack(expectedResponse)).build();
    mockVideoIntelligenceService.addResponse(resultOperation);
    String inputUri = "inputUri1707300727";
    List<Feature> features = new ArrayList<>();
    VideoContext videoContext = VideoContext.newBuilder().build();
    String outputUri = "outputUri-1273518802";
    String locationId = "locationId552319461";
    AnnotateVideoResponse actualResponse = client.annotateVideoAsync(inputUri, features, videoContext, outputUri, locationId).get();
    Assert.assertEquals(expectedResponse, actualResponse);
    List<GeneratedMessageV3> actualRequests = mockVideoIntelligenceService.getRequests();
    Assert.assertEquals(1, actualRequests.size());
    AnnotateVideoRequest actualRequest = (AnnotateVideoRequest) actualRequests.get(0);
    Assert.assertEquals(inputUri, actualRequest.getInputUri());
    Assert.assertEquals(features, actualRequest.getFeaturesList());
    Assert.assertEquals(videoContext, actualRequest.getVideoContext());
    Assert.assertEquals(outputUri, actualRequest.getOutputUri());
    Assert.assertEquals(locationId, actualRequest.getLocationId());
}