use of com.google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults in project java-video-intelligence by googleapis.
the class DetectLogoGcs method detectLogoGcs.
public static void detectLogoGcs(String inputUri) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Build the request with the inputUri and set the Feature
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(inputUri).addFeatures(Feature.LOGO_RECOGNITION).build();
// Make the asynchronous request
AnnotateVideoResponse response = client.annotateVideoAsync(request).get();
// Get the first response, since we sent only one video.
VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
// Annotations for list of logos detected, tracked and recognized in the video.
for (LogoRecognitionAnnotation logoRecognitionAnnotation : annotationResult.getLogoRecognitionAnnotationsList()) {
Entity entity = logoRecognitionAnnotation.getEntity();
// Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search
// API](https://developers.google.com/knowledge-graph/).
System.out.printf("Entity Id: %s\n", entity.getEntityId());
System.out.printf("Description: %s\n", entity.getDescription());
// instance appearing in consecutive frames.
for (Track track : logoRecognitionAnnotation.getTracksList()) {
// Video segment of a track.
VideoSegment segment = track.getSegment();
Duration segmentStartTimeOffset = segment.getStartTimeOffset();
System.out.printf("\n\tStart Time Offset: %s.%s\n", segmentStartTimeOffset.getSeconds(), segmentStartTimeOffset.getNanos());
Duration segmentEndTimeOffset = segment.getEndTimeOffset();
System.out.printf("\tEnd Time Offset: %s.%s\n", segmentEndTimeOffset.getSeconds(), segmentEndTimeOffset.getNanos());
System.out.printf("\tConfidence: %s\n", track.getConfidence());
// The object with timestamp and attributes per frame in the track.
for (TimestampedObject timestampedObject : track.getTimestampedObjectsList()) {
// Normalized Bounding box in a frame, where the object is located.
NormalizedBoundingBox normalizedBoundingBox = timestampedObject.getNormalizedBoundingBox();
System.out.printf("\n\t\tLeft: %s\n", normalizedBoundingBox.getLeft());
System.out.printf("\t\tTop: %s\n", normalizedBoundingBox.getTop());
System.out.printf("\t\tRight: %s\n", normalizedBoundingBox.getRight());
System.out.printf("\t\tBottom: %s\n", normalizedBoundingBox.getBottom());
// Optional. The attributes of the object in the bounding box.
for (DetectedAttribute attribute : timestampedObject.getAttributesList()) {
System.out.printf("\n\t\t\tName: %s\n", attribute.getName());
System.out.printf("\t\t\tConfidence: %s\n", attribute.getConfidence());
System.out.printf("\t\t\tValue: %s\n", attribute.getValue());
}
}
// Optional. Attributes in the track level.
for (DetectedAttribute trackAttribute : track.getAttributesList()) {
System.out.printf("\n\t\tName : %s\n", trackAttribute.getName());
System.out.printf("\t\tConfidence : %s\n", trackAttribute.getConfidence());
System.out.printf("\t\tValue : %s\n", trackAttribute.getValue());
}
}
// of the same logo class appearing in one VideoSegment.
for (VideoSegment logoRecognitionAnnotationSegment : logoRecognitionAnnotation.getSegmentsList()) {
Duration logoRecognitionAnnotationSegmentStartTimeOffset = logoRecognitionAnnotationSegment.getStartTimeOffset();
System.out.printf("\n\tStart Time Offset : %s.%s\n", logoRecognitionAnnotationSegmentStartTimeOffset.getSeconds(), logoRecognitionAnnotationSegmentStartTimeOffset.getNanos());
Duration logoRecognitionAnnotationSegmentEndTimeOffset = logoRecognitionAnnotationSegment.getEndTimeOffset();
System.out.printf("\tEnd Time Offset : %s.%s\n", logoRecognitionAnnotationSegmentEndTimeOffset.getSeconds(), logoRecognitionAnnotationSegmentEndTimeOffset.getNanos());
}
}
}
}
use of com.google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults in project java-video-intelligence by googleapis.
the class LogoDetection method detectLogo.
public static void detectLogo(String filePath) throws IOException, ExecutionException, InterruptedException, TimeoutException {
// the "close" method on the client to safely clean up any remaining background resources.
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Read file
Path path = Paths.get(filePath);
byte[] data = Files.readAllBytes(path);
// Create the request
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputContent(ByteString.copyFrom(data)).addFeatures(Feature.LOGO_RECOGNITION).build();
// asynchronously perform object tracking on videos
OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> future = client.annotateVideoAsync(request);
System.out.println("Waiting for operation to complete...");
// The first result is retrieved because a single video was processed.
AnnotateVideoResponse response = future.get(300, TimeUnit.SECONDS);
VideoAnnotationResults annotationResult = response.getAnnotationResults(0);
// Annotations for list of logos detected, tracked and recognized in video.
for (LogoRecognitionAnnotation logoRecognitionAnnotation : annotationResult.getLogoRecognitionAnnotationsList()) {
Entity entity = logoRecognitionAnnotation.getEntity();
// Opaque entity ID. Some IDs may be available in
// [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).
System.out.printf("Entity Id : %s\n", entity.getEntityId());
System.out.printf("Description : %s\n", entity.getDescription());
// instance appearing in consecutive frames.
for (Track track : logoRecognitionAnnotation.getTracksList()) {
// Video segment of a track.
Duration startTimeOffset = track.getSegment().getStartTimeOffset();
System.out.printf("\n\tStart Time Offset: %s.%s\n", startTimeOffset.getSeconds(), startTimeOffset.getNanos());
Duration endTimeOffset = track.getSegment().getEndTimeOffset();
System.out.printf("\tEnd Time Offset: %s.%s\n", endTimeOffset.getSeconds(), endTimeOffset.getNanos());
System.out.printf("\tConfidence: %s\n", track.getConfidence());
// The object with timestamp and attributes per frame in the track.
for (TimestampedObject timestampedObject : track.getTimestampedObjectsList()) {
// Normalized Bounding box in a frame, where the object is located.
NormalizedBoundingBox normalizedBoundingBox = timestampedObject.getNormalizedBoundingBox();
System.out.printf("\n\t\tLeft: %s\n", normalizedBoundingBox.getLeft());
System.out.printf("\t\tTop: %s\n", normalizedBoundingBox.getTop());
System.out.printf("\t\tRight: %s\n", normalizedBoundingBox.getRight());
System.out.printf("\t\tBottom: %s\n", normalizedBoundingBox.getBottom());
// Optional. The attributes of the object in the bounding box.
for (DetectedAttribute attribute : timestampedObject.getAttributesList()) {
System.out.printf("\n\t\t\tName: %s\n", attribute.getName());
System.out.printf("\t\t\tConfidence: %s\n", attribute.getConfidence());
System.out.printf("\t\t\tValue: %s\n", attribute.getValue());
}
}
// Optional. Attributes in the track level.
for (DetectedAttribute trackAttribute : track.getAttributesList()) {
System.out.printf("\n\t\tName : %s\n", trackAttribute.getName());
System.out.printf("\t\tConfidence : %s\n", trackAttribute.getConfidence());
System.out.printf("\t\tValue : %s\n", trackAttribute.getValue());
}
}
// of the same logo class appearing in one VideoSegment.
for (VideoSegment segment : logoRecognitionAnnotation.getSegmentsList()) {
System.out.printf("\n\tStart Time Offset : %s.%s\n", segment.getStartTimeOffset().getSeconds(), segment.getStartTimeOffset().getNanos());
System.out.printf("\tEnd Time Offset : %s.%s\n", segment.getEndTimeOffset().getSeconds(), segment.getEndTimeOffset().getNanos());
}
}
}
}
use of com.google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults in project java-video-intelligence by googleapis.
the class DetectIT method testTextDetection.
@Test
public void testTextDetection() throws Exception {
try {
VideoAnnotationResults result = TextDetection.detectText("resources/googlework_short.mp4");
boolean textExists = false;
for (TextAnnotation textAnnotation : result.getTextAnnotationsList()) {
for (String possibleText : POSSIBLE_TEXTS) {
if (textAnnotation.getText().toUpperCase().contains(possibleText.toUpperCase())) {
textExists = true;
break;
}
}
}
assertThat(textExists).isTrue();
} catch (TimeoutException ex) {
Assert.assertTrue(ex.getMessage().contains("Waited"));
}
}
use of com.google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults in project java-video-intelligence by googleapis.
the class DetectIT method testTrackObjectsGcs.
@Test
public void testTrackObjectsGcs() throws Exception {
VideoAnnotationResults result = TrackObjects.trackObjectsGcs("gs://cloud-samples-data/video/cat.mp4");
boolean textExists = false;
for (ObjectTrackingAnnotation objectTrackingAnnotation : result.getObjectAnnotationsList()) {
if (objectTrackingAnnotation.getEntity().getDescription().toUpperCase().contains("CAT")) {
textExists = true;
break;
}
}
assertThat(textExists).isTrue();
}
use of com.google.cloud.videointelligence.v1p2beta1.VideoAnnotationResults in project java-video-intelligence by googleapis.
the class DetectIT method testTextDetectionGcs.
@Test
public void testTextDetectionGcs() throws Exception {
VideoAnnotationResults result = TextDetection.detectTextGcs(FILE_LOCATION);
boolean textExists = false;
for (TextAnnotation textAnnotation : result.getTextAnnotationsList()) {
for (String possibleText : POSSIBLE_TEXTS) {
if (textAnnotation.getText().toUpperCase().contains(possibleText.toUpperCase())) {
textExists = true;
break;
}
}
}
assertThat(textExists).isTrue();
}
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