use of com.google.cloud.vision.v1p3beta1.Feature in project java-vision by googleapis.
the class DetectLandmarksUrl method detectLandmarksUrl.
// Detects landmarks in the specified URI.
public static void detectLandmarksUrl(String uri) throws IOException {
List<AnnotateImageRequest> requests = new ArrayList<>();
ImageSource imgSource = ImageSource.newBuilder().setImageUri(uri).build();
Image img = Image.newBuilder().setSource(imgSource).build();
Feature feat = Feature.newBuilder().setType(Feature.Type.LANDMARK_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.getLandmarkAnnotationsList()) {
LocationInfo info = annotation.getLocationsList().listIterator().next();
System.out.format("Landmark: %s%n %s%n", annotation.getDescription(), info.getLatLng());
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.Feature in project java-vision by googleapis.
the class DetectProperties method detectProperties.
// Detects image properties such as color frequency from the specified local image.
public static void detectProperties(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.IMAGE_PROPERTIES).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
DominantColorsAnnotation colors = res.getImagePropertiesAnnotation().getDominantColors();
for (ColorInfo color : colors.getColorsList()) {
System.out.format("fraction: %f%nr: %f, g: %f, b: %f%n", color.getPixelFraction(), color.getColor().getRed(), color.getColor().getGreen(), color.getColor().getBlue());
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.Feature in project java-vision by googleapis.
the class DetectSafeSearch method detectSafeSearch.
// Detects whether the specified image has features you would want to moderate.
public static void detectSafeSearch(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.SAFE_SEARCH_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
SafeSearchAnnotation annotation = res.getSafeSearchAnnotation();
System.out.format("adult: %s%nmedical: %s%nspoofed: %s%nviolence: %s%nracy: %s%n", annotation.getAdult(), annotation.getMedical(), annotation.getSpoof(), annotation.getViolence(), annotation.getRacy());
}
}
}
use of com.google.cloud.vision.v1p3beta1.Feature in project java-vision by googleapis.
the class DetectTextGcs method detectTextGcs.
// Detects text in the specified remote image on Google Cloud Storage.
public static void detectTextGcs(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.TEXT_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.getTextAnnotationsList()) {
System.out.format("Text: %s%n", annotation.getDescription());
System.out.format("Position : %s%n", annotation.getBoundingPoly());
}
}
}
}
use of com.google.cloud.vision.v1p3beta1.Feature in project java-vision by googleapis.
the class DetectWebDetectionsGcs method detectWebDetectionsGcs.
// Detects whether the remote image on Google Cloud Storage has features you would want to
// moderate.
public static void detectWebDetectionsGcs(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.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 (WebDetection.WebEntity entity : annotation.getWebEntitiesList()) {
System.out.println(entity.getDescription() + " : " + entity.getEntityId() + " : " + entity.getScore());
}
for (WebDetection.WebLabel label : annotation.getBestGuessLabelsList()) {
System.out.format("%nBest guess label: %s", label.getLabel());
}
System.out.println("%nPages with matching images: Score%n==");
for (WebDetection.WebPage page : annotation.getPagesWithMatchingImagesList()) {
System.out.println(page.getUrl() + " : " + page.getScore());
}
System.out.println("%nPages with partially matching images: Score%n==");
for (WebDetection.WebImage image : annotation.getPartialMatchingImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
System.out.println("%nPages with fully matching images: Score%n==");
for (WebDetection.WebImage image : annotation.getFullMatchingImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
System.out.println("%nPages with visually similar images: Score%n==");
for (WebDetection.WebImage image : annotation.getVisuallySimilarImagesList()) {
System.out.println(image.getUrl() + " : " + image.getScore());
}
}
}
}
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