本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。
下列程序顯示如何偵測存放在 Amazon S3 儲存貯體之影片中的技術提示區段和鏡頭偵測區段。此程序也會示範如何根據 Amazon Rekognition Video 對於偵測準確性的可信度,篩選偵測到的區段。
此範例會展開 使用 Java 或 Python (SDK) 分析儲存於 Amazon S3 儲存貯體中的影片 中的程式碼,這會使用 Amazon Simple Queue Service 佇列來取得影片分析要求的完成狀態。
偵測存放在 Amazon S3 儲存貯體 (SDK) 之影片中的區段
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將下列專案新增至您在步驟 1 中使用的程式碼。
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新增以下匯入專案。
import com.amazonaws.services.rekognition.model.GetSegmentDetectionRequest; import com.amazonaws.services.rekognition.model.GetSegmentDetectionResult; import com.amazonaws.services.rekognition.model.SegmentDetection; import com.amazonaws.services.rekognition.model.SegmentType; import com.amazonaws.services.rekognition.model.SegmentTypeInfo; import com.amazonaws.services.rekognition.model.ShotSegment; import com.amazonaws.services.rekognition.model.StartSegmentDetectionFilters; import com.amazonaws.services.rekognition.model.StartSegmentDetectionRequest; import com.amazonaws.services.rekognition.model.StartSegmentDetectionResult; import com.amazonaws.services.rekognition.model.StartShotDetectionFilter; import com.amazonaws.services.rekognition.model.StartTechnicalCueDetectionFilter; import com.amazonaws.services.rekognition.model.TechnicalCueSegment; import com.amazonaws.services.rekognition.model.AudioMetadata;
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將下列程式碼新增至類別
VideoDetect
。//Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved. //PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.) private static void StartSegmentDetection(String bucket, String video) throws Exception{ NotificationChannel channel= new NotificationChannel() .withSNSTopicArn(snsTopicArn) .withRoleArn(roleArn); float minTechnicalCueConfidence = 80F; float minShotConfidence = 80F; StartSegmentDetectionRequest req = new StartSegmentDetectionRequest() .withVideo(new Video() .withS3Object(new S3Object() .withBucket(bucket) .withName(video))) .withSegmentTypes("TECHNICAL_CUE" , "SHOT") .withFilters(new StartSegmentDetectionFilters() .withTechnicalCueFilter(new StartTechnicalCueDetectionFilter() .withMinSegmentConfidence(minTechnicalCueConfidence)) .withShotFilter(new StartShotDetectionFilter() .withMinSegmentConfidence(minShotConfidence))) .withJobTag("DetectingVideoSegments") .withNotificationChannel(channel); StartSegmentDetectionResult startLabelDetectionResult = rek.startSegmentDetection(req); startJobId=startLabelDetectionResult.getJobId(); } private static void GetSegmentDetectionResults() throws Exception{ int maxResults=10; String paginationToken=null; GetSegmentDetectionResult segmentDetectionResult=null; Boolean firstTime=true; do { if (segmentDetectionResult !=null){ paginationToken = segmentDetectionResult.getNextToken(); } GetSegmentDetectionRequest segmentDetectionRequest= new GetSegmentDetectionRequest() .withJobId(startJobId) .withMaxResults(maxResults) .withNextToken(paginationToken); segmentDetectionResult = rek.getSegmentDetection(segmentDetectionRequest); if(firstTime) { System.out.println("\nStatus\n------"); System.out.println(segmentDetectionResult.getJobStatus()); System.out.println("\nRequested features\n------------------"); for (SegmentTypeInfo requestedFeatures : segmentDetectionResult.getSelectedSegmentTypes()) { System.out.println(requestedFeatures.getType()); } int count=1; List<VideoMetadata> videoMetaDataList = segmentDetectionResult.getVideoMetadata(); System.out.println("\nVideo Streams\n-------------"); for (VideoMetadata videoMetaData: videoMetaDataList) { System.out.println("Stream: " + count++); System.out.println("\tFormat: " + videoMetaData.getFormat()); System.out.println("\tCodec: " + videoMetaData.getCodec()); System.out.println("\tDuration: " + videoMetaData.getDurationMillis()); System.out.println("\tFrameRate: " + videoMetaData.getFrameRate()); } List<AudioMetadata> audioMetaDataList = segmentDetectionResult.getAudioMetadata(); System.out.println("\nAudio streams\n-------------"); count=1; for (AudioMetadata audioMetaData: audioMetaDataList) { System.out.println("Stream: " + count++); System.out.println("\tSample Rate: " + audioMetaData.getSampleRate()); System.out.println("\tCodec: " + audioMetaData.getCodec()); System.out.println("\tDuration: " + audioMetaData.getDurationMillis()); System.out.println("\tNumber of Channels: " + audioMetaData.getNumberOfChannels()); } System.out.println("\nSegments\n--------"); firstTime=false; } //Show segment information List<SegmentDetection> detectedSegments= segmentDetectionResult.getSegments(); for (SegmentDetection detectedSegment: detectedSegments) { if (detectedSegment.getType().contains(SegmentType.TECHNICAL_CUE.toString())) { System.out.println("Technical Cue"); TechnicalCueSegment segmentCue=detectedSegment.getTechnicalCueSegment(); System.out.println("\tType: " + segmentCue.getType()); System.out.println("\tConfidence: " + segmentCue.getConfidence().toString()); } if (detectedSegment.getType().contains(SegmentType.SHOT.toString())) { System.out.println("Shot"); ShotSegment segmentShot=detectedSegment.getShotSegment(); System.out.println("\tIndex " + segmentShot.getIndex()); System.out.println("\tConfidence: " + segmentShot.getConfidence().toString()); } long seconds=detectedSegment.getDurationMillis(); System.out.println("\tDuration : " + Long.toString(seconds) + " milliseconds"); System.out.println("\tStart time code: " + detectedSegment.getStartTimecodeSMPTE()); System.out.println("\tEnd time code: " + detectedSegment.getEndTimecodeSMPTE()); System.out.println("\tDuration time code: " + detectedSegment.getDurationSMPTE()); System.out.println(); } } while (segmentDetectionResult !=null && segmentDetectionResult.getNextToken() != null); }
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在函數
main
中,將下行:StartLabelDetection(amzn-s3-demo-bucket, video); if (GetSQSMessageSuccess()==true) GetLabelDetectionResults();
取代為:
StartSegmentDetection(amzn-s3-demo-bucket, video); if (GetSQSMessageSuccess()==true) GetSegmentDetectionResults();
注意
如果您已執行 使用 Java 或 Python (SDK) 分析儲存於 Amazon S3 儲存貯體中的影片 以外的影片範例,要取代的程式碼可能會不同。
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執行程式碼。隨即顯示在輸入影片中偵測到的區段相關資訊。