use of com.google.cloud.vision.v1p3beta1.Feature in project google-cloud-java by GoogleCloudPlatform.
the class VideoIntelligenceServiceClientTest method annotateVideoExceptionTest.
@Test
@SuppressWarnings("all")
public void annotateVideoExceptionTest() throws Exception {
StatusRuntimeException exception = new StatusRuntimeException(Status.INVALID_ARGUMENT);
mockVideoIntelligenceService.addException(exception);
try {
String inputUri = "inputUri1707300727";
List<Feature> features = new ArrayList<>();
VideoContext videoContext = VideoContext.newBuilder().build();
String outputUri = "outputUri-1273518802";
String locationId = "locationId552319461";
client.annotateVideoAsync(inputUri, features, videoContext, outputUri, locationId).get();
Assert.fail("No exception raised");
} catch (ExecutionException e) {
Assert.assertEquals(ApiException.class, e.getCause().getClass());
ApiException apiException = (ApiException) e.getCause();
Assert.assertEquals(Status.INVALID_ARGUMENT.getCode(), apiException.getStatusCode());
}
}
use of com.google.cloud.vision.v1p3beta1.Feature in project spring-cloud-gcp by spring-cloud.
the class VisionController method uploadImage.
/**
* This method downloads an image from a URL and sends its contents to the Vision API for label detection.
*
* @param imageUrl the URL of the image
* @return a string with the list of labels and percentage of certainty
* @throws Exception if the Vision API call produces an error
*/
@GetMapping("/vision")
public String uploadImage(String imageUrl) throws Exception {
// Copies the content of the image to memory.
byte[] imageBytes = StreamUtils.copyToByteArray(this.resourceLoader.getResource(imageUrl).getInputStream());
BatchAnnotateImagesResponse responses;
Image image = Image.newBuilder().setContent(ByteString.copyFrom(imageBytes)).build();
// Sets the type of request to label detection, to detect broad sets of categories in an image.
Feature feature = Feature.newBuilder().setType(Feature.Type.LABEL_DETECTION).build();
AnnotateImageRequest request = AnnotateImageRequest.newBuilder().setImage(image).addFeatures(feature).build();
responses = this.imageAnnotatorClient.batchAnnotateImages(Collections.singletonList(request));
StringBuilder responseBuilder = new StringBuilder("<table border=\"1\">");
responseBuilder.append("<tr><th>description</th><th>score</th></tr>");
// We're only expecting one response.
if (responses.getResponsesCount() == 1) {
AnnotateImageResponse response = responses.getResponses(0);
if (response.hasError()) {
throw new Exception(response.getError().getMessage());
}
for (EntityAnnotation annotation : response.getLabelAnnotationsList()) {
responseBuilder.append("<tr><td>").append(annotation.getDescription()).append("</td><td>").append(annotation.getScore()).append("</td></tr>");
}
}
responseBuilder.append("</table>");
responseBuilder.append("<p><img src='" + imageUrl + "'/></p>");
return responseBuilder.toString();
}
use of com.google.cloud.vision.v1p3beta1.Feature 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.v1p3beta1.Feature in project ddf by codice.
the class KmlMarshallerTest method unmarshallNullStream.
@Test(expected = NoSuchElementException.class)
public void unmarshallNullStream() {
final Kml kml = kmlMarshaller.unmarshal(null).get();
final Feature feature = kml.getFeature();
assertThat(feature.getName(), is("Simple placemark"));
}
use of com.google.cloud.vision.v1p3beta1.Feature 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());
}
}
}
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