use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project java-vision by googleapis.
the class DetectWebDetections method detectWebDetections.
// Finds references to the specified image on the web.
public static void detectWebDetections(String filePath) throws 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.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 (WebEntity entity : annotation.getWebEntitiesList()) {
System.out.println(entity.getDescription() + " : " + entity.getEntityId() + " : " + entity.getScore());
}
for (WebLabel label : annotation.getBestGuessLabelsList()) {
System.out.format("%nBest guess label: %s", label.getLabel());
}
System.out.println("%nPages with matching images: Score%n==");
for (WebPage page : annotation.getPagesWithMatchingImagesList()) {
System.out.println(page.getUrl() + " : " + page.getScore());
}
System.out.println("%nPages with partially matching images: Score%n==");
for (WebImage image : annotation.getPartialMatchingImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
System.out.println("%nPages with fully matching images: Score%n==");
for (WebImage image : annotation.getFullMatchingImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
System.out.println("%nPages with visually similar images: Score%n==");
for (WebImage image : annotation.getVisuallySimilarImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project java-vision by googleapis.
the class BatchAnnotateFiles method batchAnnotateFiles.
public static void batchAnnotateFiles(String filePath) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (ImageAnnotatorClient imageAnnotatorClient = ImageAnnotatorClient.create()) {
// You can send multiple files to be annotated, this sample demonstrates how to do this with
// one file. If you want to use multiple files, you have to create a `AnnotateImageRequest`
// object for each file that you want annotated.
// First read the files contents
Path path = Paths.get(filePath);
byte[] data = Files.readAllBytes(path);
ByteString content = ByteString.copyFrom(data);
// Specify the input config with the file's contents and its type.
// Supported mime_type: application/pdf, image/tiff, image/gif
// https://cloud.google.com/vision/docs/reference/rpc/google.cloud.vision.v1#inputconfig
InputConfig inputConfig = InputConfig.newBuilder().setMimeType("application/pdf").setContent(content).build();
// Set the type of annotation you want to perform on the file
// https://cloud.google.com/vision/docs/reference/rpc/google.cloud.vision.v1#google.cloud.vision.v1.Feature.Type
Feature feature = Feature.newBuilder().setType(Feature.Type.DOCUMENT_TEXT_DETECTION).build();
// Build the request object for that one file. Note: for additional file you have to create
// additional `AnnotateFileRequest` objects and store them in a list to be used below.
// Since we are sending a file of type `application/pdf`, we can use the `pages` field to
// specify which pages to process. The service can process up to 5 pages per document file.
// https://cloud.google.com/vision/docs/reference/rpc/google.cloud.vision.v1#google.cloud.vision.v1.AnnotateFileRequest
AnnotateFileRequest fileRequest = AnnotateFileRequest.newBuilder().setInputConfig(inputConfig).addFeatures(feature).addPages(// Process the first page
1).addPages(// Process the second page
2).addPages(// Process the last page
-1).build();
// Add each `AnnotateFileRequest` object to the batch request.
BatchAnnotateFilesRequest request = BatchAnnotateFilesRequest.newBuilder().addRequests(fileRequest).build();
// Make the synchronous batch request.
BatchAnnotateFilesResponse response = imageAnnotatorClient.batchAnnotateFiles(request);
// sample.
for (AnnotateImageResponse imageResponse : response.getResponsesList().get(0).getResponsesList()) {
System.out.format("Full text: %s%n", imageResponse.getFullTextAnnotation().getText());
for (Page page : imageResponse.getFullTextAnnotation().getPagesList()) {
for (Block block : page.getBlocksList()) {
System.out.format("%nBlock confidence: %s%n", block.getConfidence());
for (Paragraph par : block.getParagraphsList()) {
System.out.format("\tParagraph confidence: %s%n", par.getConfidence());
for (Word word : par.getWordsList()) {
System.out.format("\t\tWord confidence: %s%n", word.getConfidence());
for (Symbol symbol : word.getSymbolsList()) {
System.out.format("\t\t\tSymbol: %s, (confidence: %s)%n", symbol.getText(), symbol.getConfidence());
}
}
}
}
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project java-vision by googleapis.
the class SetEndpoint method setEndpoint.
// Change your endpoint
public static void setEndpoint() throws IOException {
// [START vision_set_endpoint]
ImageAnnotatorSettings settings = ImageAnnotatorSettings.newBuilder().setEndpoint("eu-vision.googleapis.com:443").build();
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
ImageAnnotatorClient client = ImageAnnotatorClient.create(settings);
// [END vision_set_endpoint]
ImageSource imgSource = ImageSource.newBuilder().setGcsImageUri("gs://cloud-samples-data/vision/text/screen.jpg").build();
Image image = Image.newBuilder().setSource(imgSource).build();
Feature feature = Feature.newBuilder().setType(Feature.Type.TEXT_DETECTION).build();
AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(feature).setImage(image).build();
List<AnnotateImageRequest> requests = new ArrayList<>();
requests.add(request);
BatchAnnotateImagesResponse batchResponse = client.batchAnnotateImages(requests);
for (AnnotateImageResponse response : batchResponse.getResponsesList()) {
for (EntityAnnotation annotation : response.getTextAnnotationsList()) {
System.out.format("Text: %s%n", annotation.getDescription());
System.out.println("Position:");
System.out.format("%s%n", annotation.getBoundingPoly());
}
}
client.close();
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project java-vision by googleapis.
the class DetectLabelsGcs method detectLabelsGcs.
// Detects labels in the specified remote image on Google Cloud Storage.
public static void detectLabelsGcs(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.LABEL_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;
}
// For full list of available annotations, see http://g.co/cloud/vision/docs
for (EntityAnnotation annotation : res.getLabelAnnotationsList()) {
annotation.getAllFields().forEach((k, v) -> System.out.format("%s : %s%n", k, v.toString()));
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project java-vision by googleapis.
the class DetectLogos method detectLogos.
// Detects logos in the specified local image.
public static void detectLogos(String filePath) throws 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(Feature.Type.LOGO_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;
}
// For full list of available annotations, see http://g.co/cloud/vision/docs
for (EntityAnnotation annotation : res.getLogoAnnotationsList()) {
System.out.println(annotation.getDescription());
}
}
}
}
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