Examples with Image com.google.cloud.automl.v1.Image used on opensource projects

Example 36 with Image

use of com.google.cloud.automl.v1.Image in project java-vision by googleapis.

the class ProductSearch method getSimilarProductsGcs.

// [END vision_product_search_get_similar_products]
// [START vision_product_search_get_similar_products_gcs]
/**
 * Search similar products to image in Google Cloud Storage.
 *
 * @param projectId - Id of the project.
 * @param computeRegion - Region name.
 * @param productSetId - Id of the product set.
 * @param productCategory - Category of the product.
 * @param gcsUri - GCS file path of the image to be searched
 * @param filter - Condition to be applied on the labels. Example for filter: (color = red OR
 *     color = blue) AND style = kids It will search on all products with the following labels:
 *     color:red AND style:kids color:blue AND style:kids
 * @throws Exception - on errors.
 */
public static void getSimilarProductsGcs(String projectId, String computeRegion, String productSetId, String productCategory, String gcsUri, String filter) throws Exception {
    try (ImageAnnotatorClient queryImageClient = ImageAnnotatorClient.create()) {
        // Get the full path of the product set.
        String productSetPath = ProductSetName.of(projectId, computeRegion, productSetId).toString();
        // Get the image from Google Cloud Storage
        ImageSource source = ImageSource.newBuilder().setGcsImageUri(gcsUri).build();
        // Create annotate image request along with product search feature.
        Feature featuresElement = Feature.newBuilder().setType(Type.PRODUCT_SEARCH).build();
        Image image = Image.newBuilder().setSource(source).build();
        ImageContext imageContext = ImageContext.newBuilder().setProductSearchParams(ProductSearchParams.newBuilder().setProductSet(productSetPath).addProductCategories(productCategory).setFilter(filter)).build();
        AnnotateImageRequest annotateImageRequest = AnnotateImageRequest.newBuilder().addFeatures(featuresElement).setImage(image).setImageContext(imageContext).build();
        List<AnnotateImageRequest> requests = Arrays.asList(annotateImageRequest);
        // Search products similar to the image.
        BatchAnnotateImagesResponse response = queryImageClient.batchAnnotateImages(requests);
        List<Result> similarProducts = response.getResponses(0).getProductSearchResults().getResultsList();
        System.out.println("Similar Products: ");
        for (Result product : similarProducts) {
            System.out.println(String.format("\nProduct name: %s", product.getProduct().getName()));
            System.out.println(String.format("Product display name: %s", product.getProduct().getDisplayName()));
            System.out.println(String.format("Product description: %s", product.getProduct().getDescription()));
            System.out.println(String.format("Score(Confidence): %s", product.getScore()));
            System.out.println(String.format("Image name: %s", product.getImage()));
        }
    }
}

Example 37 with Image

use of com.google.cloud.automl.v1.Image in project java-vision by googleapis.

the class QuickstartSample method main.

public static void main(String... args) throws Exception {
    // the "close" method on the client to safely clean up any remaining background resources.
    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.format("Error: %s%n", res.getError().getMessage());
                return;
            }
            for (EntityAnnotation annotation : res.getLabelAnnotationsList()) {
                annotation.getAllFields().forEach((k, v) -> System.out.format("%s : %s%n", k, v.toString()));
            }
        }
    }
}

Example 38 with Image

use of com.google.cloud.automl.v1.Image in project java-vision by googleapis.

the class DetectCropHints method detectCropHints.

// Suggests a region to crop to for a local file.
public static void detectCropHints(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.CROP_HINTS).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
            CropHintsAnnotation annotation = res.getCropHintsAnnotation();
            for (CropHint hint : annotation.getCropHintsList()) {
                System.out.println(hint.getBoundingPoly());
            }
        }
    }
}

Example 39 with Image

use of com.google.cloud.automl.v1.Image in project java-vision by googleapis.

the class DetectCropHintsGcs method detectCropHintsGcs.

// Suggests a region to crop to for a remote file on Google Cloud Storage.
public static void detectCropHintsGcs(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.CROP_HINTS).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
            CropHintsAnnotation annotation = res.getCropHintsAnnotation();
            for (CropHint hint : annotation.getCropHintsList()) {
                System.out.println(hint.getBoundingPoly());
            }
        }
    }
}

Example 40 with Image

use of com.google.cloud.automl.v1.Image in project java-vision by googleapis.

the class DetectFaces method detectFaces.

// Detects faces in the specified local image.
public static void detectFaces(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.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());
            }
        }
    }
}