use of com.google.cloud.vision.v1.Feature in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectText.
/**
* Detects text in the specified image.
*
* @param filePath The path to the file to detect text in.
* @param out A {@link PrintStream} to write the detected text to.
* @throws Exception on errors while closing the client.
* @throws IOException on Input/Output errors.
*/
public static void detectText(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.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();
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.getTextAnnotationsList()) {
out.printf("Text: %s\n", annotation.getDescription());
out.printf("Position : %s\n", annotation.getBoundingPoly());
}
}
}
}
use of com.google.cloud.vision.v1.Feature in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectLogos.
/**
* Detects logos in the specified local image.
*
* @param filePath The path to the local file to perform logo detection on.
* @param out A {@link PrintStream} to write detected logos to.
* @throws Exception on errors while closing the client.
* @throws IOException on Input/Output errors.
*/
public static void detectLogos(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.LOGO_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.getLogoAnnotationsList()) {
out.println(annotation.getDescription());
}
}
}
}
use of com.google.cloud.vision.v1.Feature in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectWebEntitiesIncludeGeoResultsGcs.
// [END vision_web_entities_include_geo_results]
// [START vision_web_entities_include_geo_results_uri]
/**
* Find web entities given the remote image on Google Cloud Storage.
* @param gcsPath The path to the remote file on Google Cloud Storage to detect web entities with
* geo results.
* @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 detectWebEntitiesIncludeGeoResultsGcs(String gcsPath, PrintStream out) throws Exception, IOException {
// Instantiates a client
try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
// Set the image source to the given gs uri
ImageSource imageSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
// Build the image
Image image = Image.newBuilder().setSource(imageSource).build();
// Enable `IncludeGeoResults`
WebDetectionParams webDetectionParams = WebDetectionParams.newBuilder().setIncludeGeoResults(true).build();
// Set the parameters for the image
ImageContext imageContext = ImageContext.newBuilder().setWebDetectionParams(webDetectionParams).build();
// Create the request with the image, imageContext, and the specified feature: web detection
AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.WEB_DETECTION)).setImage(image).setImageContext(imageContext).build();
// Perform the request
BatchAnnotateImagesResponse response = client.batchAnnotateImages(Arrays.asList(request));
// Display the results
response.getResponsesList().stream().forEach(r -> r.getWebDetection().getWebEntitiesList().stream().forEach(entity -> {
out.format("Description: %s\n", entity.getDescription());
out.format("Score: %f\n", entity.getScore());
}));
}
}
use of com.google.cloud.vision.v1.Feature in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectLandmarks.
/**
* Detects landmarks in the specified local image.
*
* @param filePath The path to the file to perform landmark detection on.
* @param out A {@link PrintStream} to write detected landmarks to.
* @throws Exception on errors while closing the client.
* @throws IOException on Input/Output errors.
*/
public static void detectLandmarks(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.LANDMARK_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.getLandmarkAnnotationsList()) {
LocationInfo info = annotation.getLocationsList().listIterator().next();
out.printf("Landmark: %s\n %s\n", annotation.getDescription(), info.getLatLng());
}
}
}
}
use of com.google.cloud.vision.v1.Feature in project java-docs-samples by GoogleCloudPlatform.
the class Detect method detectWebEntities.
// [END vision_detect_web_uri]
/**
* Find web entities given a local image.
* @param filePath The path of the image to detect.
* @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 detectWebEntities(String filePath, PrintStream out) throws Exception, IOException {
// Instantiates a client
try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
// Read in the local image
ByteString contents = ByteString.readFrom(new FileInputStream(filePath));
// Build the image
Image image = Image.newBuilder().setContent(contents).build();
// Create the request with the image and the specified feature: web detection
AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.WEB_DETECTION)).setImage(image).build();
// Perform the request
BatchAnnotateImagesResponse response = client.batchAnnotateImages(Arrays.asList(request));
// Display the results
response.getResponsesList().stream().forEach(r -> r.getWebDetection().getWebEntitiesList().stream().forEach(entity -> {
out.format("Description: %s\n", entity.getDescription());
out.format("Score: %f\n", entity.getScore());
}));
}
}
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