Examples with Image com.google.cloud.automl.v1beta1.Image used on opensource projects

Example 76 with Image

use of com.google.cloud.automl.v1beta1.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 77 with Image

use of com.google.cloud.automl.v1beta1.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 78 with Image

use of com.google.cloud.automl.v1beta1.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 79 with Image

use of com.google.cloud.automl.v1beta1.Image in project openj9 by eclipse.

the class XMLIndexReader method _createCoreImageAfterParseError.

/**
 * This is like the setJ9DumpData method but is to be used when we fail to parse the file.  It is meant to try to construct the
 * Image object with what it was able to get
 *
 * @param e The cause of the error
 */
private void _createCoreImageAfterParseError(Exception e) {
    Builder builder = null;
    if (_stream == null) {
        // extract directly from the file
        builder = new Builder(_coreFile, _reader, 0, _fileResolvingAgent);
    } else {
        // extract using the data stream
        builder = new Builder(_coreFile, _stream, 0, _fileResolvingAgent);
    }
    _coreFile.extract(builder);
    String osType = builder.getOSType();
    String cpuType = builder.getCPUType();
    String cpuSubType = builder.getCPUSubType();
    long creationTime = builder.getCreationTime();
    _coreImage = new Image(osType, null, cpuType, cpuSubType, 0, 0, creationTime);
    Iterator spaces = builder.getAddressSpaces();
    while (spaces.hasNext()) {
        ImageAddressSpace addressSpace = (ImageAddressSpace) spaces.next();
        // Set all processes as having invalid runtimes
        for (Iterator processes = addressSpace.getProcesses(); processes.hasNext(); ) {
            ImageProcess process = (ImageProcess) processes.next();
            process.runtimeExtractionFailed(e);
        }
        _coreImage.addAddressSpace(addressSpace);
    }
}

Example 80 with Image

use of com.google.cloud.automl.v1beta1.Image in project java-docs-samples by GoogleCloudPlatform.

the class InstancesAdvancedIT method createImage.

private static Image createImage(Disk srcDisk) throws IOException, InterruptedException, ExecutionException, TimeoutException {
    try (ImagesClient imagesClient = ImagesClient.create()) {
        Image image = Image.newBuilder().setName("test-img-" + UUID.randomUUID()).setSourceDisk(srcDisk.getSelfLink()).build();
        OperationFuture<Operation, Operation> operation = imagesClient.insertAsync(PROJECT_ID, image);
        operation.get(3, TimeUnit.MINUTES);
        return imagesClient.get(PROJECT_ID, image.getName());
    }
}