Examples with Image com.google.cloud.vision.v1p3beta1.Image used on opensource projects

Example 11 with Image

use of com.google.cloud.vision.v1p3beta1.Image in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectFaces.

/**
 * Detects faces in the specified local image.
 *
 * @param filePath The path to the file 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 detectFaces(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.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 12 with Image

use of com.google.cloud.vision.v1p3beta1.Image in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectWebDetections.

// [END vision_detect_safe_search_uri]
// [START vision_detect_web]
/**
 * Finds references to the specified image on the web.
 *
 * @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 detectWebDetections(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.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 13 with Image

use of com.google.cloud.vision.v1p3beta1.Image in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectLabels.

/**
 * Detects labels in the specified local image.
 *
 * @param filePath The path to the file to perform label detection on.
 * @param out A {@link PrintStream} to write detected labels to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectLabels(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.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 14 with Image

use of com.google.cloud.vision.v1p3beta1.Image 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 15 with Image

use of com.google.cloud.vision.v1p3beta1.Image 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());
            }
        }
    }
}