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

Example 71 with Image

use of com.google.cloud.automl.v1.Image 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 72 with Image

use of com.google.cloud.automl.v1.Image 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 73 with Image

use of com.google.cloud.automl.v1.Image 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()));
            }
        }
    }
}

Example 74 with Image

use of com.google.cloud.automl.v1.Image in project spring-cloud-gcp by spring-cloud.

the class CloudVisionTemplate method analyzeImage.

/**
 * Analyze an image and extract the features of the image specified by
 * {@code featureTypes}.
 * <p>A feature describes the kind of Cloud Vision analysis one wishes to perform on an
 * image, such as text detection, image labelling, facial detection, etc. A full list of
 * feature types can be found in {@link Feature.Type}.
 * @param imageResource the image one wishes to analyze. The Cloud Vision APIs support
 *     image formats described here: https://cloud.google.com/vision/docs/supported-files
 * @param imageContext the image context used to customize the Vision API request
 * @param featureTypes the types of image analysis to perform on the image
 * @return the results of image analyses
 * @throws CloudVisionException if the image could not be read or if a malformed response
 *     is received from the Cloud Vision APIs
 */
public AnnotateImageResponse analyzeImage(Resource imageResource, ImageContext imageContext, Feature.Type... featureTypes) {
    ByteString imgBytes;
    try {
        imgBytes = ByteString.readFrom(imageResource.getInputStream());
    } catch (IOException ex) {
        throw new CloudVisionException("Failed to read image bytes from provided resource.", ex);
    }
    Image image = Image.newBuilder().setContent(imgBytes).build();
    List<Feature> featureList = Arrays.stream(featureTypes).map((featureType) -> Feature.newBuilder().setType(featureType).build()).collect(Collectors.toList());
    BatchAnnotateImagesRequest request = BatchAnnotateImagesRequest.newBuilder().addRequests(AnnotateImageRequest.newBuilder().addAllFeatures(featureList).setImageContext(imageContext).setImage(image)).build();
    BatchAnnotateImagesResponse batchResponse = this.imageAnnotatorClient.batchAnnotateImages(request);
    List<AnnotateImageResponse> annotateImageResponses = batchResponse.getResponsesList();
    if (!annotateImageResponses.isEmpty()) {
        return annotateImageResponses.get(0);
    } else {
        throw new CloudVisionException("Failed to receive valid response Vision APIs; empty response received.");
    }
}

Example 75 with Image

use of com.google.cloud.automl.v1.Image in project ovirt-engine by oVirt.

the class OpenStackImageProviderProxy method getImageAsDiskImage.

public DiskImage getImageAsDiskImage(String id) {
    DiskImage diskImage = new DiskImage();
    Image glanceImage;
    try {
        glanceImage = getClient().images().show(id).execute();
    } catch (OpenStackResponseException e) {
        log.debug("Exception:", e);
        throw new OpenStackImageException(OpenStackImageException.ErrorType.IMAGE_NOT_FOUND, "Cannot find the specified image.");
    } catch (RuntimeException rte) {
        log.error("Exception:", rte);
        throw new RuntimeException("Failed to import from the repository.");
    }
    validateContainerFormat(glanceImage);
    String shortHash = glanceImage.getId().substring(0, 7);
    if (glanceImage.getName() != null) {
        diskImage.setDiskDescription(glanceImage.getName() + " (" + shortHash + ")");
    } else {
        diskImage.setDiskDescription("Glance disk: " + shortHash);
    }
    setDiskAttributes(diskImage, glanceImage);
    if (glanceImage.getDiskFormat().equals(GlanceImageFormat.RAW.getValue())) {
        diskImage.setVolumeFormat(VolumeFormat.RAW);
    } else if (glanceImage.getDiskFormat().equals(GlanceImageFormat.COW.getValue())) {
        diskImage.setVolumeFormat(VolumeFormat.COW);
    } else {
        throw new OpenStackImageException(OpenStackImageException.ErrorType.UNSUPPORTED_DISK_FORMAT, "Unknown disk format: " + glanceImage.getDiskFormat());
    }
    return diskImage;
}