use of com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoRequest in project java-docs-samples by GoogleCloudPlatform.
the class Detect method analyzeExplicitContent.
/**
* Performs explicit content analysis on the video at the provided Cloud Storage path.
*
* @param gcsUri the path to the video file to analyze.
*/
public static void analyzeExplicitContent(String gcsUri) throws Exception {
// Instantiate a com.google.cloud.videointelligence.v1.VideoIntelligenceServiceClient
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Create an operation that will contain the response when the operation completes.
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.EXPLICIT_CONTENT_DETECTION).build();
OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
System.out.println("Waiting for operation to complete...");
// Print detected annotations and their positions in the analyzed video.
for (VideoAnnotationResults result : response.get().getAnnotationResultsList()) {
for (ExplicitContentFrame frame : result.getExplicitAnnotation().getFramesList()) {
double frameTime = frame.getTimeOffset().getSeconds() + frame.getTimeOffset().getNanos() / 1e9;
System.out.printf("Location: %.3fs\n", frameTime);
System.out.println("Adult: " + frame.getPornographyLikelihood());
}
}
// [END detect_explicit_content]
}
}
use of com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoRequest in project beam by apache.
the class AnnotateVideoFn method getVideoAnnotationResults.
/**
* Call the Video Intelligence Cloud AI service and return annotation results.
*
* @param elementURI This or elementContents is required. GCS address of video to be annotated
* @param elementContents this or elementURI is required. Hex-encoded contents of video to be
* annotated
* @param videoContext Optional context for video annotation.
* @return
*/
List<VideoAnnotationResults> getVideoAnnotationResults(String elementURI, ByteString elementContents, VideoContext videoContext) throws InterruptedException, ExecutionException {
AnnotateVideoRequest.Builder requestBuilder = AnnotateVideoRequest.newBuilder().addAllFeatures(featureList);
if (elementURI != null) {
requestBuilder.setInputUri(elementURI);
} else if (elementContents != null) {
requestBuilder.setInputContent(elementContents);
} else {
throw new IllegalArgumentException("Either elementURI or elementContents should be non-null");
}
if (videoContext != null) {
requestBuilder.setVideoContext(videoContext);
}
AnnotateVideoRequest annotateVideoRequest = requestBuilder.build();
OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> annotateVideoAsync = videoIntelligenceServiceClient.annotateVideoAsync(annotateVideoRequest);
return annotateVideoAsync.get().getAnnotationResultsList();
}
use of com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoRequest 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.v1p3beta1.AnnotateVideoRequest in project java-video-intelligence by googleapis.
the class LogoDetectionGcs method detectLogoGcs.
public static void detectLogoGcs(String inputUri) throws IOException, ExecutionException, InterruptedException, TimeoutException {
// the "close" method on the client to safely clean up any remaining background resources.
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Create the request
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(inputUri).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.v1p3beta1.AnnotateVideoRequest in project java-video-intelligence by googleapis.
the class QuickstartSample method main.
/**
* Demonstrates using the video intelligence client to detect labels in a video file.
*/
public static void main(String[] args) throws Exception {
// Instantiate a video intelligence client
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// The Google Cloud Storage path to the video to annotate.
String gcsUri = "gs://cloud-samples-data/video/cat.mp4";
// Create an operation that will contain the response when the operation completes.
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.LABEL_DETECTION).build();
OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
System.out.println("Waiting for operation to complete...");
List<VideoAnnotationResults> results = response.get().getAnnotationResultsList();
if (results.isEmpty()) {
System.out.println("No labels detected in " + gcsUri);
return;
}
for (VideoAnnotationResults result : results) {
System.out.println("Labels:");
// get video segment label annotations
for (LabelAnnotation annotation : result.getSegmentLabelAnnotationsList()) {
System.out.println("Video label description : " + annotation.getEntity().getDescription());
// categories
for (Entity categoryEntity : annotation.getCategoryEntitiesList()) {
System.out.println("Label Category description : " + categoryEntity.getDescription());
}
// segments
for (LabelSegment segment : annotation.getSegmentsList()) {
double startTime = segment.getSegment().getStartTimeOffset().getSeconds() + segment.getSegment().getStartTimeOffset().getNanos() / 1e9;
double endTime = segment.getSegment().getEndTimeOffset().getSeconds() + segment.getSegment().getEndTimeOffset().getNanos() / 1e9;
System.out.printf("Segment location : %.3f:%.3f\n", startTime, endTime);
System.out.println("Confidence : " + segment.getConfidence());
}
}
}
}
}
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