Detect.java

/*
 * 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 com.example.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]
  }
}