use of com.google.cloud.vision.v1p3beta1.AnnotateImageRequest in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectDocumentTextGcs.
// [END vision_detect_document]
// [START vision_detect_document_uri]
/**
* 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.
* @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 detectDocumentTextGcs(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.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());
}
}
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageRequest in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectFaces.
/**
* Detects faces in the specified local image.
*
* @param filePath The path to the file 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 detectFaces(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.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());
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageRequest in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectWebDetections.
// [END vision_detect_safe_search_uri]
// [START vision_detect_web]
/**
* Finds references to the specified image on the web.
*
* @param filePath The path to the local file used for web annotation detection.
* @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 detectWebDetections(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.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.vision.v1p3beta1.AnnotateImageRequest in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectLabels.
/**
* Detects labels in the specified local image.
*
* @param filePath The path to the file to perform label detection on.
* @param out A {@link PrintStream} to write detected labels to.
* @throws Exception on errors while closing the client.
* @throws IOException on Input/Output errors.
*/
public static void detectLabels(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.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()));
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageRequest in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectSafeSearchGcs.
// [END vision_detect_safe_search]
// [START vision_detect_safe_search_uri]
/**
* Detects whether the specified image on Google Cloud Storage has features you would want
* to moderate.
*
* @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 detectSafeSearchGcs(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.SAFE_SEARCH_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
SafeSearchAnnotation annotation = res.getSafeSearchAnnotation();
out.printf("adult: %s\nmedical: %s\nspoofed: %s\nviolence: %s\nracy: %s\n", annotation.getAdult(), annotation.getMedical(), annotation.getSpoof(), annotation.getViolence(), annotation.getRacy());
}
}
}
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