use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient in project java-vision by googleapis.
the class DetectWebDetectionsGcs method detectWebDetectionsGcs.
// Detects whether the remote image on Google Cloud Storage has features you would want to
// moderate.
public static void detectWebDetectionsGcs(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.WEB_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;
}
// 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();
System.out.println("Entity:Id:Score");
System.out.println("===============");
for (WebDetection.WebEntity entity : annotation.getWebEntitiesList()) {
System.out.println(entity.getDescription() + " : " + entity.getEntityId() + " : " + entity.getScore());
}
for (WebDetection.WebLabel label : annotation.getBestGuessLabelsList()) {
System.out.format("%nBest guess label: %s", label.getLabel());
}
System.out.println("%nPages with matching images: Score%n==");
for (WebDetection.WebPage page : annotation.getPagesWithMatchingImagesList()) {
System.out.println(page.getUrl() + " : " + page.getScore());
}
System.out.println("%nPages with partially matching images: Score%n==");
for (WebDetection.WebImage image : annotation.getPartialMatchingImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
System.out.println("%nPages with fully matching images: Score%n==");
for (WebDetection.WebImage image : annotation.getFullMatchingImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
System.out.println("%nPages with visually similar images: Score%n==");
for (WebDetection.WebImage image : annotation.getVisuallySimilarImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
}
}
}
use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient in project java-vision by googleapis.
the class DetectWebEntitiesIncludeGeoResultsGcs method detectWebEntitiesIncludeGeoResultsGcs.
// Find web entities given the remote image on Google Cloud Storage.
public static void detectWebEntitiesIncludeGeoResultsGcs(String gcsPath) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
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();
// Enable `IncludeGeoResults`
WebDetectionParams webDetectionParams = WebDetectionParams.newBuilder().setIncludeGeoResults(true).build();
// Set the parameters for the image
ImageContext imageContext = ImageContext.newBuilder().setWebDetectionParams(webDetectionParams).build();
// Create the request with the image, imageContext, and the specified feature: web detection
AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Feature.Type.WEB_DETECTION)).setImage(image).setImageContext(imageContext).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.vision.v1p4beta1.ImageAnnotatorClient in project java-vision by googleapis.
the class Detect method detectDocumentTextGcs.
// [END vision_fulltext_detection]
/**
* Performs document text detection on a remote image on Google Cloud Storage.
*
* @param gcsPath The path to the remote file on Google Cloud Storage to detect document text on.
* @throws Exception on errors while closing the client.
* @throws IOException on Input/Output errors.
*/
// [START vision_fulltext_detection_gcs]
public static void detectDocumentTextGcs(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(Type.DOCUMENT_TEXT_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();
client.close();
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
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();
System.out.format("Symbol text: %s (confidence: %f)%n", symbol.getText(), symbol.getConfidence());
}
System.out.format("Word text: %s (confidence: %f)%n%n", wordText, word.getConfidence());
paraText = String.format("%s %s", paraText, wordText);
}
// Output Example using Paragraph:
System.out.println("%nParagraph: %n" + paraText);
System.out.format("Paragraph Confidence: %f%n", para.getConfidence());
blockText = blockText + paraText;
}
pageText = pageText + blockText;
}
}
System.out.println("%nComplete annotation:");
System.out.println(annotation.getText());
}
}
}
use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient in project java-vision by googleapis.
the class Detect method detectLocalizedObjectsGcs.
// [END vision_localize_objects]
// [START vision_localize_objects_gcs]
/**
* Detects localized objects in a remote image on Google Cloud Storage.
*
* @param gcsPath The path to the remote file on Google Cloud Storage to detect localized objects
* on.
* @throws Exception on errors while closing the client.
* @throws IOException on Input/Output errors.
*/
public static void detectLocalizedObjectsGcs(String gcsPath) throws IOException {
List<AnnotateImageRequest> requests = new ArrayList<>();
ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
Image img = Image.newBuilder().setSource(imgSource).build();
AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.OBJECT_LOCALIZATION)).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()) {
// Perform the request
BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
List<AnnotateImageResponse> responses = response.getResponsesList();
client.close();
// Display the results
for (AnnotateImageResponse res : responses) {
for (LocalizedObjectAnnotation entity : res.getLocalizedObjectAnnotationsList()) {
System.out.format("Object name: %s%n", entity.getName());
System.out.format("Confidence: %s%n", entity.getScore());
System.out.format("Normalized Vertices:%n");
entity.getBoundingPoly().getNormalizedVerticesList().forEach(vertex -> System.out.format("- (%s, %s)%n", vertex.getX(), vertex.getY()));
}
}
}
}
use of com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient in project java-vision by googleapis.
the class Detect method detectLocalizedObjects.
// [END vision_text_detection_pdf_gcs]
// [START vision_localize_objects]
/**
* Detects localized objects in the specified local image.
*
* @param filePath The path to the file to perform localized object detection on.
* @throws Exception on errors while closing the client.
* @throws IOException on Input/Output errors.
*/
public static void detectLocalizedObjects(String filePath) throws IOException {
List<AnnotateImageRequest> requests = new ArrayList<>();
ByteString imgBytes = ByteString.readFrom(new FileInputStream(filePath));
Image img = Image.newBuilder().setContent(imgBytes).build();
AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.OBJECT_LOCALIZATION)).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()) {
// Perform the request
BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
List<AnnotateImageResponse> responses = response.getResponsesList();
// Display the results
for (AnnotateImageResponse res : responses) {
for (LocalizedObjectAnnotation entity : res.getLocalizedObjectAnnotationsList()) {
System.out.format("Object name: %s%n", entity.getName());
System.out.format("Confidence: %s%n", entity.getScore());
System.out.format("Normalized Vertices:%n");
entity.getBoundingPoly().getNormalizedVerticesList().forEach(vertex -> System.out.format("- (%s, %s)%n", vertex.getX(), vertex.getY()));
}
}
}
}
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