use of com.google.cloud.automl.v1beta1.Image in project cloudbreak by hortonworks.
the class OpenStackImageVerifier method getStatus.
public ImageStatus getStatus(OSClient<?> osClient, String name) {
ImageStatus imageStatus;
List<? extends Image> images = osClient.imagesV2().list(Collections.singletonMap("name", name));
if (images == null || images.isEmpty()) {
imageStatus = null;
LOGGER.error("OpenStack image: {} not found", name);
List<? extends Image> allImages = osClient.imagesV2().list();
if (allImages != null) {
for (Image image : allImages) {
LOGGER.info("Available images: {}, entry: {}", image.getName(), image);
}
}
LOGGER.warn("OpenStack image: {} not found", name);
} else if (images.size() > 1) {
for (Image image : images) {
LOGGER.info("Multiple images found: {}, entry: {}", image.getName(), image);
}
List<String> imageIds = images.stream().map(Image::getId).collect(Collectors.toList());
throw new CloudConnectorException(String.format("Multiple OpenStack images found with ids: %s, image name: %s", String.join(", ", imageIds), name));
} else {
LOGGER.info("OpenStack Image found: {}, entry: {}", name, images);
imageStatus = images.get(0).getStatus();
}
return imageStatus;
}
use of com.google.cloud.automl.v1beta1.Image in project cloudbreak by hortonworks.
the class OpenStackSetup method checkImageStatus.
@Override
public ImageStatusResult checkImageStatus(AuthenticatedContext authenticatedContext, CloudStack stack, com.sequenceiq.cloudbreak.cloud.model.Image image) {
String imageName = image.getImageName();
OSClient osClient = openStackClient.createOSClient(authenticatedContext);
Image.ImageStatus imageStatus = openStackImageVerifier.getStatus(osClient, imageName);
ImageStatusResult imageStatusResult;
switch(imageStatus) {
case ACTIVE:
imageStatusResult = new ImageStatusResult(ImageStatus.CREATE_FINISHED, ImageStatusResult.COMPLETED);
break;
case QUEUED:
case SAVING:
imageStatusResult = new ImageStatusResult(ImageStatus.IN_PROGRESS, ImageStatusResult.HALF);
break;
default:
imageStatusResult = new ImageStatusResult(ImageStatus.CREATE_FAILED, ImageStatusResult.COMPLETED);
break;
}
LOGGER.info("OpenStack image result. name: {}, imageStatus: {}, imageStatusResult: {}", imageName, imageStatus, imageStatusResult);
return imageStatusResult;
}
use of com.google.cloud.automl.v1beta1.Image in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectWebDetectionsGcs.
// [END vision_detect_web]
// [START vision_detect_web_uri]
/**
* Detects whether the remote image on Google Cloud Storage has features you would want to
* moderate.
*
* @param gcsPath The path to the remote on Google Cloud Storage file to detect web annotations.
* @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 detectWebDetectionsGcs(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.WEB_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;
}
// 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();
out.println("Entity:Id:Score");
out.println("===============");
for (WebEntity entity : annotation.getWebEntitiesList()) {
out.println(entity.getDescription() + " : " + entity.getEntityId() + " : " + entity.getScore());
}
for (WebLabel label : annotation.getBestGuessLabelsList()) {
out.format("\nBest guess label: %s", label.getLabel());
}
out.println("\nPages with matching images: Score\n==");
for (WebPage page : annotation.getPagesWithMatchingImagesList()) {
out.println(page.getUrl() + " : " + page.getScore());
}
out.println("\nPages with partially matching images: Score\n==");
for (WebImage image : annotation.getPartialMatchingImagesList()) {
out.println(image.getUrl() + " : " + image.getScore());
}
out.println("\nPages with fully matching images: Score\n==");
for (WebImage image : annotation.getFullMatchingImagesList()) {
out.println(image.getUrl() + " : " + image.getScore());
}
out.println("\nPages with visually similar images: Score\n==");
for (WebImage image : annotation.getVisuallySimilarImagesList()) {
out.println(image.getUrl() + " : " + image.getScore());
}
}
}
}
use of com.google.cloud.automl.v1beta1.Image in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectWebEntitiesGcs.
/**
* Find web entities given the remote image on Google Cloud Storage.
* @param gcsPath The path to the remote file on Google Cloud Storage to detect web entities.
* @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 detectWebEntitiesGcs(String gcsPath, PrintStream out) throws Exception, IOException {
// Instantiates a client
try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
// Set the image source to the given gs uri
ImageSource imageSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
// Build the image
Image image = Image.newBuilder().setSource(imageSource).build();
// Create the request with the image and the specified feature: web detection
AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.WEB_DETECTION)).setImage(image).build();
// Perform the request
BatchAnnotateImagesResponse response = client.batchAnnotateImages(Arrays.asList(request));
// Display the results
response.getResponsesList().stream().forEach(r -> r.getWebDetection().getWebEntitiesList().stream().forEach(entity -> {
System.out.format("Description: %s\n", entity.getDescription());
System.out.format("Score: %f\n", entity.getScore());
}));
}
}
use of com.google.cloud.automl.v1beta1.Image in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectCropHintsGcs.
/**
* Suggests a region to crop to for a remote file on Google Cloud Storage.
*
* @param gcsPath The path to the remote file on Google Cloud Storage to detect safe-search 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 detectCropHintsGcs(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.CROP_HINTS).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
CropHintsAnnotation annotation = res.getCropHintsAnnotation();
for (CropHint hint : annotation.getCropHintsList()) {
out.println(hint.getBoundingPoly());
}
}
}
}
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