Examples with BatchAnnotateImagesResponse com.google.cloud.vision.v1p4beta1.BatchAnnotateImagesResponse used on opensource projects

Example 26 with BatchAnnotateImagesResponse

use of com.google.cloud.vision.v1p4beta1.BatchAnnotateImagesResponse in project java-vision by googleapis.

the class DetectTextGcs method detectTextGcs.

// Detects text in the specified remote image on Google Cloud Storage.
public static void detectTextGcs(String gcsPath) throws 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(Feature.Type.TEXT_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                System.out.format("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()) {
                System.out.format("Text: %s%n", annotation.getDescription());
                System.out.format("Position : %s%n", annotation.getBoundingPoly());
            }
        }
    }
}

Example 27 with BatchAnnotateImagesResponse

use of com.google.cloud.vision.v1p4beta1.BatchAnnotateImagesResponse in project java-vision by googleapis.

the class DetectWebDetectionsGcs method detectWebDetectionsGcs.

// Detects whether the remote image on Google Cloud Storage has features you would want to
// moderate.
public static void detectWebDetectionsGcs(String gcsPath) throws 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(Feature.Type.WEB_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                System.out.format("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();
            System.out.println("Entity:Id:Score");
            System.out.println("===============");
            for (WebDetection.WebEntity entity : annotation.getWebEntitiesList()) {
                System.out.println(entity.getDescription() + " : " + entity.getEntityId() + " : " + entity.getScore());
            }
            for (WebDetection.WebLabel label : annotation.getBestGuessLabelsList()) {
                System.out.format("%nBest guess label: %s", label.getLabel());
            }
            System.out.println("%nPages with matching images: Score%n==");
            for (WebDetection.WebPage page : annotation.getPagesWithMatchingImagesList()) {
                System.out.println(page.getUrl() + " : " + page.getScore());
            }
            System.out.println("%nPages with partially matching images: Score%n==");
            for (WebDetection.WebImage image : annotation.getPartialMatchingImagesList()) {
                System.out.println(image.getUrl() + " : " + image.getScore());
            }
            System.out.println("%nPages with fully matching images: Score%n==");
            for (WebDetection.WebImage image : annotation.getFullMatchingImagesList()) {
                System.out.println(image.getUrl() + " : " + image.getScore());
            }
            System.out.println("%nPages with visually similar images: Score%n==");
            for (WebDetection.WebImage image : annotation.getVisuallySimilarImagesList()) {
                System.out.println(image.getUrl() + " : " + image.getScore());
            }
        }
    }
}

Example 28 with BatchAnnotateImagesResponse

use of com.google.cloud.vision.v1p4beta1.BatchAnnotateImagesResponse in project java-vision by googleapis.

the class DetectFacesGcs method detectFacesGcs.

// Detects faces in the specified remote image on Google Cloud Storage.
public static void detectFacesGcs(String gcsPath) throws 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(Feature.Type.FACE_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                System.out.format("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()) {
                System.out.format("anger: %s%njoy: %s%nsurprise: %s%nposition: %s", annotation.getAngerLikelihood(), annotation.getJoyLikelihood(), annotation.getSurpriseLikelihood(), annotation.getBoundingPoly());
            }
        }
    }
}

Example 29 with BatchAnnotateImagesResponse

use of com.google.cloud.vision.v1p4beta1.BatchAnnotateImagesResponse in project java-vision by googleapis.

the class DetectLandmarksGcs method detectLandmarksGcs.

// Detects landmarks in the specified remote image on Google Cloud Storage.
public static void detectLandmarksGcs(String gcsPath) throws 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(Feature.Type.LANDMARK_DETECTION).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                System.out.format("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();
                System.out.format("Landmark: %s%n %s%n", annotation.getDescription(), info.getLatLng());
            }
        }
    }
}

Example 30 with BatchAnnotateImagesResponse

use of com.google.cloud.vision.v1p4beta1.BatchAnnotateImagesResponse in project java-vision by googleapis.

the class DetectProperties method detectProperties.

// Detects image properties such as color frequency from the specified local image.
public static void detectProperties(String filePath) throws 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(Feature.Type.IMAGE_PROPERTIES).build();
    AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
    requests.add(request);
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
        List<AnnotateImageResponse> responses = response.getResponsesList();
        for (AnnotateImageResponse res : responses) {
            if (res.hasError()) {
                System.out.format("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()) {
                System.out.format("fraction: %f%nr: %f, g: %f, b: %f%n", color.getPixelFraction(), color.getColor().getRed(), color.getColor().getGreen(), color.getColor().getBlue());
            }
        }
    }
}