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/*
* Copyright 2017 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package video;
import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.videointelligence.v1.AnnotateVideoProgress;
import com.google.cloud.videointelligence.v1.AnnotateVideoRequest;
import com.google.cloud.videointelligence.v1.AnnotateVideoResponse;
import com.google.cloud.videointelligence.v1.Entity;
import com.google.cloud.videointelligence.v1.ExplicitContentFrame;
import com.google.cloud.videointelligence.v1.Feature;
import com.google.cloud.videointelligence.v1.LabelAnnotation;
import com.google.cloud.videointelligence.v1.LabelSegment;
import com.google.cloud.videointelligence.v1.SpeechRecognitionAlternative;
import com.google.cloud.videointelligence.v1.SpeechTranscription;
import com.google.cloud.videointelligence.v1.SpeechTranscriptionConfig;
import com.google.cloud.videointelligence.v1.VideoAnnotationResults;
import com.google.cloud.videointelligence.v1.VideoContext;
import com.google.cloud.videointelligence.v1.VideoIntelligenceServiceClient;
import com.google.cloud.videointelligence.v1.VideoSegment;
import com.google.cloud.videointelligence.v1.WordInfo;
import com.google.protobuf.ByteString;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.concurrent.TimeUnit;
public class Detect {
/**
* Detects labels, shots, and explicit content in a video using the Video Intelligence API
*
* @param args specifies features to detect and the path to the video on Google Cloud Storage.
*/
public static void main(String[] args) {
try {
argsHelper(args);
} catch (Exception e) {
System.out.println("Exception while running:\n" + e.getMessage() + "\n");
e.printStackTrace(System.out);
}
}
/**
* Helper that handles the input passed to the program.
*
* @param args specifies features to detect and the path to the video on Google Cloud Storage.
* @throws IOException on Input/Output errors.
*/
public static void argsHelper(String[] args) throws Exception {
if (args.length < 1) {
System.out.println("Usage:");
System.out.printf(
"\tjava %s \"<command>\" \"<path-to-video>\"\n"
+ "Commands:\n"
+ "\tlabels | shots\n"
+ "Path:\n\tA URI for a Cloud Storage resource (gs://...)\n"
+ "Examples: ",
Detect.class.getCanonicalName());
return;
}
String command = args[0];
String path = args.length > 1 ? args[1] : "";
if (command.equals("labels")) {
analyzeLabels(path);
}
if (command.equals("labels-file")) {
analyzeLabelsFile(path);
}
if (command.equals("shots")) {
analyzeShots(path);
}
if (command.equals("explicit-content")) {
analyzeExplicitContent(path);
}
if (command.equals("speech-transcription")) {
speechTranscription(path);
}
}
/**
* Performs label analysis on the video at the provided Cloud Storage path.
*
* @param gcsUri the path to the video file to analyze.
*/
public static void analyzeLabels(String gcsUri) throws Exception {
// [START video_analyze_labels_gcs]
// 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.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:%.3f\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:%.3f\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 video_analyze_labels_gcs]
}
/**
* 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 {
// [START video_analyze_labels]
// 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);
AnnotateVideoRequest request =
AnnotateVideoRequest.newBuilder()
.setInputContent(ByteString.copyFrom(data))
.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 video_analyze_labels]
}
/**
* 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 {
// [START video_analyze_shots]
// 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 video_analyze_shots]
}
/**
* 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 {
// [START video_analyze_explicit_content]
// 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 video_analyze_explicit_content]
}
}
/**
* 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 {
// [START video_speech_transcription_gcs]
// Instantiate a com.google.cloud.videointelligence.v1.VideoIntelligenceServiceClient
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Set the language code
SpeechTranscriptionConfig config =
SpeechTranscriptionConfig.newBuilder()
.setLanguageCode("en-US")
.setEnableAutomaticPunctuation(true)
.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 speech transcription 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(600, 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());
}
}
}
}
// [END video_speech_transcription_gcs]
}
}
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