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

Example 6 with Image

use of com.google.cloud.automl.v1beta1.Image in project aem-core-wcm-components by Adobe-Marketing-Cloud.

the class ImageIT method setupBeforeEach.

@BeforeEach
public void setupBeforeEach() throws ClientException {
    imageTests = new ImageTests();
    imageTests.setup(adminClient, contextPath, label, Commons.rtImage_v1, rootPage, defaultPageTemplate, clientlibs, new Image());
}

Example 7 with Image

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

the class XMLIndexReader method setJ9DumpData.

public void setJ9DumpData(long environ, String osType, String osSubType, String cpuType, int cpuCount, long bytesMem, int pointerSize, Image[] imageRef, ImageAddressSpace[] addressSpaceRef, ImageProcess[] processRef) {
    Builder builder = null;
    if (_stream == null) {
        // extract directly from the file
        builder = new Builder(_coreFile, _reader, environ, _fileResolvingAgent);
    } else {
        // extract using the data stream
        builder = new Builder(_coreFile, _stream, environ, _fileResolvingAgent);
    }
    _coreFile.extract(builder);
    // Jazz 4961 : chamlain : NumberFormatException opening corrupt dump
    if (cpuType == null)
        cpuType = builder.getCPUType();
    String cpuSubType = builder.getCPUSubType();
    if (osType == null)
        osType = builder.getOSType();
    long creationTime = builder.getCreationTime();
    _coreImage = new Image(osType, osSubType, cpuType, cpuSubType, cpuCount, bytesMem, creationTime);
    ImageAddressSpace addressSpace = (ImageAddressSpace) builder.getAddressSpaces().next();
    ImageProcess process = (ImageProcess) addressSpace.getCurrentProcess();
    // If not sure, use the first address space/process pair found
    for (Iterator it = builder.getAddressSpaces(); it.hasNext(); ) {
        ImageAddressSpace addressSpace1 = (ImageAddressSpace) it.next();
        final boolean vb = false;
        if (vb)
            System.out.println("address space " + addressSpace1);
        _coreImage.addAddressSpace(addressSpace1);
        for (Iterator it2 = addressSpace1.getProcesses(); it2.hasNext(); ) {
            ImageProcess process1 = (ImageProcess) it2.next();
            if (vb)
                try {
                    System.out.println("process " + process1.getID());
                } catch (DataUnavailable e) {
                } catch (CorruptDataException e) {
                }
            if (process == null || isProcessForEnvironment(environ, addressSpace1, process1)) {
                addressSpace = addressSpace1;
                process = process1;
                if (vb)
                    System.out.println("default process for Runtime");
            }
        }
    }
    if (null != process) {
        // z/OS can have 64-bit or 31-bit processes, Java only reports 64-bit or 32-bit.
        if (process.getPointerSize() != pointerSize && !(process.getPointerSize() == 31 && pointerSize == 32)) {
            System.out.println("XML and core file pointer sizes differ " + process.getPointerSize() + "!=" + pointerSize);
        }
    } else {
        throw new IllegalStateException("No process found in the dump.");
    }
    imageRef[0] = _coreImage;
    addressSpaceRef[0] = addressSpace;
    processRef[0] = process;
}

Example 8 with Image

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

the class Detect method detectDocumentText.

// [START vision_detect_document]
/**
 * Performs document text detection on a local image file.
 *
 * @param filePath The path to the local file to detect document text 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 detectDocumentText(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.DOCUMENT_TEXT_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();
        client.close();
        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
            TextAnnotation annotation = res.getFullTextAnnotation();
            for (Page page : annotation.getPagesList()) {
                String pageText = "";
                for (Block block : page.getBlocksList()) {
                    String blockText = "";
                    for (Paragraph para : block.getParagraphsList()) {
                        String paraText = "";
                        for (Word word : para.getWordsList()) {
                            String wordText = "";
                            for (Symbol symbol : word.getSymbolsList()) {
                                wordText = wordText + symbol.getText();
                                out.format("Symbol text: %s (confidence: %f)\n", symbol.getText(), symbol.getConfidence());
                            }
                            out.format("Word text: %s (confidence: %f)\n\n", wordText, word.getConfidence());
                            paraText = String.format("%s %s", paraText, wordText);
                        }
                        // Output Example using Paragraph:
                        out.println("\nParagraph: \n" + paraText);
                        out.format("Paragraph Confidence: %f\n", para.getConfidence());
                        blockText = blockText + paraText;
                    }
                    pageText = pageText + blockText;
                }
            }
            out.println("\nComplete annotation:");
            out.println(annotation.getText());
        }
    }
}

Example 9 with Image

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

the class Detect method detectLabelsGcs.

/**
 * Detects labels in the specified remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage to perform label 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 detectLabelsGcs(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.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 10 with Image

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

the class Detect method detectFacesGcs.

/**
 * Detects faces in the specified remote image on Google Cloud Storage.
 *
 * @param gcsPath The path to the remote file on Google Cloud Storage 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 detectFacesGcs(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.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());
            }
        }
    }
}