use of com.google.cloud.vision.v1p4beta1.AnnotateImageRequest in project beam by apache.
the class CloudVisionTest method shouldConvertKVOfStringToRequest.
@Test
public void shouldConvertKVOfStringToRequest() {
CloudVision.AnnotateImagesFromGcsUriWithContext annotateImagesFromGcsUriWithContext = CloudVision.annotateImagesFromGcsUriWithContext(features, 1, 1);
AnnotateImageRequest request = annotateImagesFromGcsUriWithContext.mapToRequest(KV.of(TEST_URI, null), null);
assertEquals(1, request.getFeaturesCount());
assertEquals(TEST_URI, request.getImage().getSource().getGcsImageUri());
}
use of com.google.cloud.vision.v1p4beta1.AnnotateImageRequest in project google-cloud-java by GoogleCloudPlatform.
the class AnnotateImage method main.
public static void main(String... args) throws Exception {
// Instantiates a client
ImageAnnotatorClient vision = ImageAnnotatorClient.create();
// The path to the image file to annotate
// for example "./resources/wakeupcat.jpg";
String fileName = "your/image/path.jpg";
// Reads the image file into memory
Path path = Paths.get(fileName);
byte[] data = Files.readAllBytes(path);
ByteString imgBytes = ByteString.copyFrom(data);
// Builds the image annotation request
List<AnnotateImageRequest> requests = new ArrayList<>();
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);
// Performs label detection on the image file
BatchAnnotateImagesResponse response = vision.batchAnnotateImages(requests);
List<AnnotateImageResponse> responses = response.getResponsesList();
for (AnnotateImageResponse res : responses) {
if (res.hasError()) {
System.out.printf("Error: %s\n", res.getError().getMessage());
return;
}
for (EntityAnnotation annotation : res.getLabelAnnotationsList()) {
for (Map.Entry<FieldDescriptor, Object> entry : annotation.getAllFields().entrySet()) {
System.out.printf("%s : %s\n", entry.getKey(), entry.getValue());
}
}
}
}
use of com.google.cloud.vision.v1p4beta1.AnnotateImageRequest 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());
}
}
}
use of com.google.cloud.vision.v1p4beta1.AnnotateImageRequest 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()));
}
}
}
}
use of com.google.cloud.vision.v1p4beta1.AnnotateImageRequest 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());
}
}
}
}
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