use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project spring-cloud-gcp by GoogleCloudPlatform.
the class CloudVisionTemplate method extractTextFromImage.
/**
* Extract the text out of an image and return the result as a String.
*
* @param imageResource the image one wishes to analyze
* @param imageContext the image context to customize the text extraction request
* @return the text extracted from the image aggregated to a String
* @throws CloudVisionException if the image could not be read or if text extraction failed
*/
public String extractTextFromImage(Resource imageResource, ImageContext imageContext) {
AnnotateImageResponse response = analyzeImage(imageResource, imageContext, Type.TEXT_DETECTION);
String result = response.getFullTextAnnotation().getText();
if (result.isEmpty() && response.getError().getCode() != Code.OK.getNumber()) {
throw new CloudVisionException(response.getError().getMessage());
}
return result;
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project spring-cloud-gcp by GoogleCloudPlatform.
the class CloudVisionTemplateTests method testExtractTextError.
@Test
void testExtractTextError() {
AnnotateImageResponse response = AnnotateImageResponse.newBuilder().setError(Status.newBuilder().setCode(Code.INTERNAL.value()).setMessage("Error Message from Vision API.")).build();
BatchAnnotateImagesResponse responseBatch = BatchAnnotateImagesResponse.newBuilder().addResponses(response).build();
when(this.imageAnnotatorClient.batchAnnotateImages(any(BatchAnnotateImagesRequest.class))).thenReturn(responseBatch);
assertThatThrownBy(() -> this.cloudVisionTemplate.extractTextFromImage(FAKE_IMAGE)).isInstanceOf(CloudVisionException.class).hasMessage("Error Message from Vision API.");
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectWebDetectionsGcs.
// [END vision_detect_web]
// [START vision_detect_web_uri]
/**
* Detects whether the remote image on Google Cloud Storage has features you would want to
* moderate.
*
* @param gcsPath The path to the remote on Google Cloud Storage file to detect web annotations.
* @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 detectWebDetectionsGcs(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.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.AnnotateImageResponse in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectCropHintsGcs.
/**
* Suggests a region to crop to for a remote file on Google Cloud Storage.
*
* @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 detectCropHintsGcs(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.CROP_HINTS).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
CropHintsAnnotation annotation = res.getCropHintsAnnotation();
for (CropHint hint : annotation.getCropHintsList()) {
out.println(hint.getBoundingPoly());
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.AnnotateImageResponse in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectSafeSearch.
// [START vision_detect_safe_search]
/**
* Detects whether the specified image has features you would want to moderate.
*
* @param filePath The path to the local file used for safe search 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 detectSafeSearch(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.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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