use of com.google.cloud.vision.v1.FaceAnnotation 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());
}
}
}
}
use of com.google.cloud.vision.v1.FaceAnnotation 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());
}
}
}
}
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