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Rebecca Taylor
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Merge branch 'tmp-generated-samples' of github.com:GoogleCloudPlatform/java-docs-samples into tmp-generated-samples
2 parents 78fb4c6 + d54468e commit 96284ab

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‎video/beta/pom.xml

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<dependency>
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<groupId>com.google.cloud</groupId>
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<artifactId>google-cloud-video-intelligence</artifactId>
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<version>0.84.0-beta</version>
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<version>0.102.0-beta</version>
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</dependency>
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<dependency>
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<groupId>com.google.cloud</groupId>
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<artifactId>google-cloud-storage</artifactId>
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<version>1.65.0</version>
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<version>1.84.0</version>
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</dependency>
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<dependency>
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<groupId>commons-cli</groupId>
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<artifactId>commons-cli</artifactId>
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<version>1.4</version>
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</dependency>
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<!-- [END video_java_dependencies_beta] -->
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</plugins>
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</build>
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</profile>
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<!-- Video Detect Logo -->
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<profile>
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<id>DetectLogoBeta</id>
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<activation>
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<property>
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<name>DetectLogoBeta</name>
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</property>
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</activation>
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<build>
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<plugins>
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<plugin>
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<groupId>org.codehaus.mojo</groupId>
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<artifactId>exec-maven-plugin</artifactId>
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<version>1.6.0</version>
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<executions>
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<execution>
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<goals>
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<goal>exec</goal>
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</goals>
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</execution>
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</executions>
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<configuration>
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<mainClass>com.example.video.VideoDetectLogoBeta</mainClass>
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<cleanupDaemonThreads>false</cleanupDaemonThreads>
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</configuration>
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</plugin>
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</plugins>
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</build>
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</profile>
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<!-- Video Detect Logo GCS -->
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<profile>
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<id>DetectLogoGcsBeta</id>
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<activation>
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<property>
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<name>DetectLogoGcsBeta</name>
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</property>
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</activation>
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<build>
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<plugins>
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<plugin>
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<groupId>org.codehaus.mojo</groupId>
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<artifactId>exec-maven-plugin</artifactId>
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<version>1.6.0</version>
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<executions>
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<execution>
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<goals>
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<goal>exec</goal>
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</goals>
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</execution>
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</executions>
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<configuration>
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<mainClass>com.example.video.VideoDetectLogoGcsBeta</mainClass>
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<cleanupDaemonThreads>false</cleanupDaemonThreads>
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</configuration>
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</plugin>
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</plugins>
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</build>
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</profile>
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</profiles>
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</project>

‎video/beta/src/main/java/com/example/video/VideoDetectLogoBeta.java

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/*
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* Copyright 2019 Google LLC
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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// DO NOT EDIT! This is a generated sample ("LongRunningRequestAsync", "video_detect_logo_beta")
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// sample-metadata:
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// title:
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// description: Performs asynchronous video annotation for logo recognition on a local file.
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// usage: gradle run -PmainClass=com.google.cloud.examples.videointelligence.v1p3beta1.VideoDetectLogoBeta [--args='[--local_file_path "resources/googlework_short.mp4"]']
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package com.example.video;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoRequest;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoResponse;
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import com.google.cloud.videointelligence.v1p3beta1.DetectedAttribute;
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import com.google.cloud.videointelligence.v1p3beta1.Entity;
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import com.google.cloud.videointelligence.v1p3beta1.Feature;
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import com.google.cloud.videointelligence.v1p3beta1.LogoRecognitionAnnotation;
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import com.google.cloud.videointelligence.v1p3beta1.NormalizedBoundingBox;
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import com.google.cloud.videointelligence.v1p3beta1.TimestampedObject;
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import com.google.cloud.videointelligence.v1p3beta1.Track;
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import com.google.cloud.videointelligence.v1p3beta1.VideoAnnotationResults;
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import com.google.cloud.videointelligence.v1p3beta1.VideoIntelligenceServiceClient;
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import com.google.cloud.videointelligence.v1p3beta1.VideoSegment;
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import com.google.protobuf.ByteString;
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import com.google.protobuf.Duration;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.nio.file.Paths;
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import java.util.Arrays;
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import java.util.List;
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import org.apache.commons.cli.CommandLine;
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import org.apache.commons.cli.DefaultParser;
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import org.apache.commons.cli.Option;
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import org.apache.commons.cli.Options;
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public class VideoDetectLogoBeta {
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// [START video_detect_logo_beta]
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/*
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* Please include the following imports to run this sample.
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*
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* import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoRequest;
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* import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoResponse;
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* import com.google.cloud.videointelligence.v1p3beta1.DetectedAttribute;
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* import com.google.cloud.videointelligence.v1p3beta1.Entity;
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* import com.google.cloud.videointelligence.v1p3beta1.Feature;
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* import com.google.cloud.videointelligence.v1p3beta1.LogoRecognitionAnnotation;
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* import com.google.cloud.videointelligence.v1p3beta1.NormalizedBoundingBox;
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* import com.google.cloud.videointelligence.v1p3beta1.TimestampedObject;
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* import com.google.cloud.videointelligence.v1p3beta1.Track;
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* import com.google.cloud.videointelligence.v1p3beta1.VideoAnnotationResults;
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* import com.google.cloud.videointelligence.v1p3beta1.VideoIntelligenceServiceClient;
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* import com.google.cloud.videointelligence.v1p3beta1.VideoSegment;
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* import com.google.protobuf.ByteString;
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* import com.google.protobuf.Duration;
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* import java.nio.file.Files;
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* import java.nio.file.Path;
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* import java.nio.file.Paths;
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* import java.util.Arrays;
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* import java.util.List;
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*/
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/**
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* Performs asynchronous video annotation for logo recognition on a local file.
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*
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* @param localFilePath Path to local video file, e.g. /path/video.mp4
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*/
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public static void sampleAnnotateVideo(String localFilePath) {
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try (VideoIntelligenceServiceClient videoIntelligenceServiceClient =
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VideoIntelligenceServiceClient.create()) {
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// localFilePath = "resources/googlework_short.mp4";
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Path path = Paths.get(localFilePath);
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byte[] data = Files.readAllBytes(path);
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ByteString inputContent = ByteString.copyFrom(data);
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Feature featuresElement = Feature.LOGO_RECOGNITION;
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List<Feature> features = Arrays.asList(featuresElement);
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AnnotateVideoRequest request =
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AnnotateVideoRequest.newBuilder()
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.setInputContent(inputContent)
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.addAllFeatures(features)
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.build();
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AnnotateVideoResponse response =
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videoIntelligenceServiceClient.annotateVideoAsync(request).get();
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// Get the first response, since we sent only one video.
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VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
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// Annotations for list of logos detected, tracked and recognized in video.
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for (LogoRecognitionAnnotation logoRecognitionAnnotation :
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annotationResult.getLogoRecognitionAnnotationsList()) {
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Entity entity = logoRecognitionAnnotation.getEntity();
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// Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).
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System.out.printf("Entity Id : %s\n", entity.getEntityId());
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// Textual description, e.g. `Google`.
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System.out.printf("Description : %s\n", entity.getDescription());
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// All logo tracks where the recognized logo appears. Each track corresponds to one logo instance appearing in consecutive frames.
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for (Track track : logoRecognitionAnnotation.getTracksList()) {
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// Video segment of a track.
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VideoSegment segment = track.getSegment();
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Duration segmentStartTimeOffset = segment.getStartTimeOffset();
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System.out.printf(
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"\n\tStart Time Offset : %s.%s\n",
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segmentStartTimeOffset.getSeconds(), segmentStartTimeOffset.getNanos());
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Duration segmentEndTimeOffset = segment.getEndTimeOffset();
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System.out.printf(
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"\tEnd Time Offset : %s.%s\n",
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segmentEndTimeOffset.getSeconds(), segmentEndTimeOffset.getNanos());
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System.out.printf("\tConfidence : %s\n", track.getConfidence());
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// The object with timestamp and attributes per frame in the track.
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for (TimestampedObject timestampedObject : track.getTimestampedObjectsList()) {
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// Normalized Bounding box in a frame, where the object is located.
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NormalizedBoundingBox normalizedBoundingBox =
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timestampedObject.getNormalizedBoundingBox();
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System.out.printf("\n\t\tLeft : %s\n", normalizedBoundingBox.getLeft());
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System.out.printf("\t\tTop : %s\n", normalizedBoundingBox.getTop());
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System.out.printf("\t\tRight : %s\n", normalizedBoundingBox.getRight());
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System.out.printf("\t\tBottom : %s\n", normalizedBoundingBox.getBottom());
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// Optional. The attributes of the object in the bounding box.
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for (DetectedAttribute attribute : timestampedObject.getAttributesList()) {
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System.out.printf("\n\t\t\tName : %s\n", attribute.getName());
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System.out.printf("\t\t\tConfidence : %s\n", attribute.getConfidence());
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System.out.printf("\t\t\tValue : %s\n", attribute.getValue());
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}
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}
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// Optional. Attributes in the track level.
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for (DetectedAttribute trackAttribute : track.getAttributesList()) {
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System.out.printf("\n\t\tName : %s\n", trackAttribute.getName());
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System.out.printf("\t\tConfidence : %s\n", trackAttribute.getConfidence());
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System.out.printf("\t\tValue : %s\n", trackAttribute.getValue());
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}
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}
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// All video segments where the recognized logo appears. There might be multiple instances of the same logo class appearing in one VideoSegment.
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for (VideoSegment logoRecognitionAnnotationSegment :
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logoRecognitionAnnotation.getSegmentsList()) {
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Duration logoRecognitionAnnotationSegmentStartTimeOffset =
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logoRecognitionAnnotationSegment.getStartTimeOffset();
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System.out.printf(
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"\n\tStart Time Offset : %s.%s\n",
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logoRecognitionAnnotationSegmentStartTimeOffset.getSeconds(),
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logoRecognitionAnnotationSegmentStartTimeOffset.getNanos());
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Duration logoRecognitionAnnotationSegmentEndTimeOffset =
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logoRecognitionAnnotationSegment.getEndTimeOffset();
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System.out.printf(
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"\tEnd Time Offset : %s.%s\n",
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logoRecognitionAnnotationSegmentEndTimeOffset.getSeconds(),
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logoRecognitionAnnotationSegmentEndTimeOffset.getNanos());
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}
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}
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} catch (Exception exception) {
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System.err.println("Failed to create the client due to: " + exception);
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}
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}
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// [END video_detect_logo_beta]
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public static void main(String[] args) throws Exception {
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Options options = new Options();
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options.addOption(
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Option.builder("").required(false).hasArg(true).longOpt("local_file_path").build());
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CommandLine cl = (new DefaultParser()).parse(options, args);
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String localFilePath = cl.getOptionValue("local_file_path", "resources/googlework_short.mp4");
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sampleAnnotateVideo(localFilePath);
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}
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}

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