use of com.google.cloud.videointelligence.v1p1beta1.AnnotateVideoResponse in project java-docs-samples by GoogleCloudPlatform.
the class Detect method speechTranscription.
// [END video_face_emotions]
// [START video_speech_transcription]
/**
* Transcribe speech from a video stored on GCS.
*
* @param gcsUri the path to the video file to analyze.
*/
public static void speechTranscription(String gcsUri) throws Exception {
// Instantiate a com.google.cloud.videointelligence.v1p1beta1.VideoIntelligenceServiceClient
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Set the language code
SpeechTranscriptionConfig config = SpeechTranscriptionConfig.newBuilder().setLanguageCode("en-US").build();
// Set the video context with the above configuration
VideoContext context = VideoContext.newBuilder().setSpeechTranscriptionConfig(config).build();
// Create the request
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.SPEECH_TRANSCRIPTION).setVideoContext(context).build();
// asynchronously perform facial analysis on videos
OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
System.out.println("Waiting for operation to complete...");
// Display the results
for (VideoAnnotationResults results : response.get(180, TimeUnit.SECONDS).getAnnotationResultsList()) {
for (SpeechTranscription speechTranscription : results.getSpeechTranscriptionsList()) {
try {
// Print the transcription
if (speechTranscription.getAlternativesCount() > 0) {
SpeechRecognitionAlternative alternative = speechTranscription.getAlternatives(0);
System.out.printf("Transcript: %s\n", alternative.getTranscript());
System.out.printf("Confidence: %.2f\n", alternative.getConfidence());
System.out.println("Word level information:");
for (WordInfo wordInfo : alternative.getWordsList()) {
double startTime = wordInfo.getStartTime().getSeconds() + wordInfo.getStartTime().getNanos() / 1e9;
double endTime = wordInfo.getEndTime().getSeconds() + wordInfo.getEndTime().getNanos() / 1e9;
System.out.printf("\t%4.2fs - %4.2fs: %s\n", startTime, endTime, wordInfo.getWord());
}
} else {
System.out.println("No transcription found");
}
} catch (IndexOutOfBoundsException ioe) {
System.out.println("Could not retrieve frame: " + ioe.getMessage());
}
}
}
}
}
use of com.google.cloud.videointelligence.v1p1beta1.AnnotateVideoResponse in project java-docs-samples by GoogleCloudPlatform.
the class Detect method analyzeLabelsFile.
/**
* Performs label analysis on the video at the provided file path.
*
* @param filePath the path to the video file to analyze.
*/
public static void analyzeLabelsFile(String filePath) throws Exception {
// Instantiate a com.google.cloud.videointelligence.v1.VideoIntelligenceServiceClient
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Read file and encode into Base64
Path path = Paths.get(filePath);
byte[] data = Files.readAllBytes(path);
byte[] encodedBytes = Base64.encodeBase64(data);
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputContent(ByteString.copyFrom(encodedBytes)).addFeatures(Feature.LABEL_DETECTION).build();
// Create an operation that will contain the response when the operation completes.
OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
System.out.println("Waiting for operation to complete...");
for (VideoAnnotationResults results : response.get().getAnnotationResultsList()) {
// process video / segment level label annotations
System.out.println("Locations: ");
for (LabelAnnotation labelAnnotation : results.getSegmentLabelAnnotationsList()) {
System.out.println("Video label: " + labelAnnotation.getEntity().getDescription());
// categories
for (Entity categoryEntity : labelAnnotation.getCategoryEntitiesList()) {
System.out.println("Video label category: " + categoryEntity.getDescription());
}
// segments
for (LabelSegment segment : labelAnnotation.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:%.2f\n", startTime, endTime);
System.out.println("Confidence: " + segment.getConfidence());
}
}
// process shot label annotations
for (LabelAnnotation labelAnnotation : results.getShotLabelAnnotationsList()) {
System.out.println("Shot label: " + labelAnnotation.getEntity().getDescription());
// categories
for (Entity categoryEntity : labelAnnotation.getCategoryEntitiesList()) {
System.out.println("Shot label category: " + categoryEntity.getDescription());
}
// segments
for (LabelSegment segment : labelAnnotation.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:%.2f\n", startTime, endTime);
System.out.println("Confidence: " + segment.getConfidence());
}
}
// process frame label annotations
for (LabelAnnotation labelAnnotation : results.getFrameLabelAnnotationsList()) {
System.out.println("Frame label: " + labelAnnotation.getEntity().getDescription());
// categories
for (Entity categoryEntity : labelAnnotation.getCategoryEntitiesList()) {
System.out.println("Frame label category: " + categoryEntity.getDescription());
}
// segments
for (LabelSegment segment : labelAnnotation.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:%.2f\n", startTime, endTime);
System.out.println("Confidence: " + segment.getConfidence());
}
}
}
}
// [END detect_labels_file]
}
use of com.google.cloud.videointelligence.v1p1beta1.AnnotateVideoResponse in project java-docs-samples by GoogleCloudPlatform.
the class Detect method analyzeShots.
/**
* Performs shot analysis on the video at the provided Cloud Storage path.
*
* @param gcsUri the path to the video file to analyze.
*/
public static void analyzeShots(String gcsUri) throws Exception {
// Instantiate a com.google.cloud.videointelligence.v1.VideoIntelligenceServiceClient
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Provide path to file hosted on GCS as "gs://bucket-name/..."
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.SHOT_CHANGE_DETECTION).build();
// Create an operation that will contain the response when the operation completes.
OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
System.out.println("Waiting for operation to complete...");
// Print detected shot changes and their location ranges in the analyzed video.
for (VideoAnnotationResults result : response.get().getAnnotationResultsList()) {
if (result.getShotAnnotationsCount() > 0) {
System.out.println("Shots: ");
for (VideoSegment segment : result.getShotAnnotationsList()) {
double startTime = segment.getStartTimeOffset().getSeconds() + segment.getStartTimeOffset().getNanos() / 1e9;
double endTime = segment.getEndTimeOffset().getSeconds() + segment.getEndTimeOffset().getNanos() / 1e9;
System.out.printf("Location: %.3f:%.3f\n", startTime, endTime);
}
} else {
System.out.println("No shot changes detected in " + gcsUri);
}
}
}
// [END detect_shots]
}
use of com.google.cloud.videointelligence.v1p1beta1.AnnotateVideoResponse 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.v1p1beta1.AnnotateVideoResponse 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();
}
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