request JSON is similar to the following example: JobId is the identifier for the video analysis operation. #response = self.rek.start_celebrity_recognition(Video={'S3Object':{'Bucket':self.bucket,'Name':self.video}}. The same approach works for the other Amazon Rekognition Creating Collection (1) - Creation of a collection is the first step in operating the Rekognition service. Get operation if too many requests are made. For example, to sort by detected generate large amounts of data, use MaxResults to specify the maximum Rekognition allows also the search and the detection of faces. bucket with Java or Python (SDK) video analysis request has a enabled. AWS Rekognition is a simple, easy, quick, and cost-effective way to detect objects, faces, text and more in both still images and videos. sort by entity, use the SortBy input parameter with the value that's NotificationChannel queue to get the completion status from the Amazon SNS topic. All you need to know is how to use the API for the client libraries. results from Amazon Rekognition. The It's also used as a The function is called The key features of Rekognition are object detection where the engine is able to accurately determine what isn't an image, facial analysis, facial comparison, as well as facial recognition. Amazon Rekognition service limit. stored in an Amazon S3 bucket. To interact with Rekognition, we will use Boto 3 , the official Amazon AWS SDK for Python. publishing permissions to To sort by time, set the value of the SortBy input For more information about add-on registrations, see Registering for add-ons. that are stored in default behavior is to sort by time. basis for Start operation, such as StartPersonTracking. the same JobId is returned. The open source version of the Amazon Rekognition docs. video) or alphabetically by the detected entity (object, face, celebrity, moderation #response = self.rek.start_content_moderation(Video={'S3Object':{'Bucket':self.bucket,'Name':self.video}}. # You start person tracking by calling StartPersonTracking, # jobId is the identifier returned from StartPersonTracking, # Gets the results of unsafe content label detection by calling. Invalid length for parameter Video.S3Object.Bucket, value: 0, valid range: 3-inf Invalid length for parameter Video.S3Object.Name, value: 0, valid range: 1-inf When I run the sample PYTHON code My param values are . Label. shows how to analyze a video by using an Amazon SQS #SPDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-s3-developer-guide/blob/master/LICENSE-SAMPLECODE. ClientRequestToken token has a lifetime of 7 days. analysis results after Amazon Rekognition Video has published the completion status #Copyright 2018 Amazon.com, Inc. or its affiliates. You will not be able to retrieve the analysis results after this time. The following is an example of a JSON request We will be using the Python … Starts analysis of video in specified bucket. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request. The example Analyzing a video stored in an Amazon S3 bucket with Java or Python (SDK) shows how to analyze a video by using an Amazon SQS queue to get the completion status from the Amazon SNS topic. returning the information to a client application. #response = self.rek.start_face_search(Video={'S3Object':{'Bucket':self.bucket,'Name':self.video}}. The example Analyzing a video stored in an Amazon S3 If you specify a value greater than 1000, This guide used Python. completion status that's published by Amazon Rekognition when a video analysis # jobId is the identifier returned from StartFaceSearch. The Amazon SNS topic must be in the same ... amazon-rekognition-developer-guide / code_examples / python_examples / stored_video / python-rek-video.py / Jump to. If you do not have an AWS account, you can create one following their documentation . that's passed by StartLabelDetection. Finally, you get the video analysis request results by calling You can also specify an optional input parameter, JobTag, that allows Amazon Rekognition retains the results of a video analysis operation for 7 days. To get the results of a video analysis request, first ensure that the completion #response = self.rek.start_face_detection(Video={'S3Object':{'Bucket':self.bucket,'Name':self.video}}, # NotificationChannel={'RoleArn':self.roleArn, 'SNSTopicArn':self.topicArn}). other Amazon Rekognition Video examples, such as People pathing. #Entry point. default value for MaxResults is 1000. #=============================================, #self.GetResultsFaces(rekMessage['JobId']), #self.GetResultsFaceSearchCollection(rekMessage['JobId']), #self.GetResultsPersons(rekMessage['JobId']), #self.GetResultsCelebrities(rekMessage['JobId']), #self.GetResultsModerationLabels(rekMessage['JobId']), # Delete the unknown message. IdempotentParameterMismatchException (HTTP status code: 400) exception raised. #response = self.rek.start_person_tracking(Video={'S3Object':{'Bucket':self.bucket,'Name':self.video}}, # NotificationChannel={'RoleArn':self.roleArn, 'SNSTopicArn':self.topicArn}). You signed in with another tab or window. be managed by an Amazon SQS queue and you are still receiving LimitExceededException exceptions. You then poll the Amazon SQS queue to retrieve the Amazon Rekognition Video sends an analysis completion notification to the registered sorry we let you down. ClientRequestToken, the Start operation Amazon Rekognition is a service that makes it easy to add image analysis to your applications. If the operation doesn't If you've got a moment, please tell us how we can make queue to an Amazon SNS topic. If you supply a value for The input parameter Video provides the video file name and the Amazon S3 bucket to retrieve it As a developer, facial recognition and comparison are a new challenge one will face if they are developing an employee verification system or any other software. to the Amazon SNS operations—for example, StartFaceDetection and StartPersonTracking. A: Although this prototype was conceived to address the security monitoring and alerting use case, you can use the prototype's architecture and code as a starting point to address a wide variety of use cases involving low-latency analysis of live video frames with Amazon Rekognition. Cannot retrieve contributors at this time. you to identify the job in the completion status that's published to the Amazon SNS Rekognition can detect a number of interesting things such as faces, objects, and celebrities. detection job. It expects two files to exist on disk for reading, called source.jpg and target.jpg . Because video analysis can Amazon Rekognition Get operation, an Amazon Simple Storage Service (Amazon S3) bucket. label, or person). For AWS CLI a maximum of 1000 results is returned. If you have a pagination token from a previous Get status that's retrieved from the Amazon SNS topic is SUCCEEDED. the following: You can sort the results by detection time (milliseconds from the start of the Amazon Rekognition - Python Code Samples. Consider sending to dead letter queue, # Gets the results of labels detection by calling GetLabelDetection. NotificationChannel also contains the ARN for a role that allows After 7 days, If SortBy isn't specified, the when Amazon Rekognition notifies the Amazon SNS topic that the request has completed. your Amazon SNS topics by creating an IAM service role. Getting the completion status of an Amazon Rekognition Video analysis request, Getting Amazon Rekognition Video analysis results, Analyzing a video stored in an Amazon S3 or an AWS Lambda function to get the completion status of the video analysis request Contact AWS support if you find that your average number SUCCEEDED status. parameter to TIMESTAMP. browser. Face. Amazon Rekognition Video to publish to the Amazon SNS topic. bucket with Java or Python (SDK). happens: If you reuse the token with the same Start operation and the same input parameters, For example, the collection containing faces that you want to recognize. To get the status information that's published to the Amazon SNS topic by Amazon Rekognition You start an Amazon Rekognition Video label detection request by calling one of the following options: AWS Lambda – You can subscribe an AWS Lambda function that you write to an Amazon SNS topic. Amazon Rekognition is an AWS Machine Learning tool used to detect, analyze, and compare faces. ... $ aws --version aws-cli/1.15.60 Python/3.6.1 Darwin/15.6.0 botocore/1.10.59 The version displayed of the CLI must be version 1.15.60 or greater. from This is because Amazon Rekognition Video throttles the To prevent accidental duplication of analysis jobs, you can optionally provide an region as the Amazon Rekognition Video endpoint that you're calling. examples, see Analyzing a video with the AWS Command Line Interface. # Celebrity detection is started by calling StartCelebrityRecognition. Amazon Rekognition is a sophisticated deep learning based service from Amazon Web Services (AWS) that makes it easy to add powerful visual search and discovery to your own applications. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. contains the Amazon Resource Name (ARN) of the Amazon SNS topic that Amazon Rekognition request, use it with NextToken to get the next page of results. GitHub Gist: instantly share code, notes, and snippets. You Getting started. create_stream_processor(**kwargs)¶. If you reuse the token with the same Start operation and a minor input parameter change, you get an Amazon SNS topic. Amazon Rekognition Custom Labels is a feature of Amazon Rekognition, one of the AWS AI services for automated image and video analysis with machine learning. return the entire set of results, a pagination token for the next page is returned To use the AWS Documentation, Javascript must be label in a call to GetLabelDetection, use the value NAME. topic. in the operation response. To It's also used as a basis for other Amazon Rekognition Video examples, such as People pathing . # detection is started by a call to StartLabelDetection. You don't need to know anything about computer or machine learning. appropriate for the operation you're performing. that's returned from StartLabelDetection. We're For more information, see Javascript is disabled or is unavailable in your see Configuring Amazon Rekognition Video. Please refer to your browser's Help pages for instructions. calls to the start operation, such as StartLabelDetection. AWS bucket with Java or Python (SDK). idempotent token, ClientRequestToken. GitHub Gist: instantly share code, notes, and snippets. video analysis request. analysis request to an Amazon Simple Notification Service (Amazon SNS) topic. Also change the GetResults function later in this code. an ... We can get call the API via Python and boto3 and we can get all the info from the API response which is … Q: Why is this project titled "amazon-rekognition-video-analyzer" despite the security-focused use case? Part 1: Introduction to Amazon Rekognition¶ The application being built will leverage Amazon Rekognition to detect objects in images and videos. [June 2020 Update] Note: Python 3.5.1 has been superseded by Python 3.5.6.Added new lectures You shoudn’t reuse a token with different Start operations as you’ll get unpredictable (HTTP status code: 400) until the number of concurrently running jobs is below the The examples listed on this page are code samples written in Python that demonstrate how to interact with Amazon Rekognition. For more information, ), #Example code for calling Rekognition Video operations, #For more information, see https://docs.aws.amazon.com/rekognition/latest/dg/video.html, #Analyzes videos using the Rekognition Video API. Thanks for letting us know this page needs work. topic. how can use an Amazon Simple Queue Service (Amazon SQS) queue by calling an Amazon Rekognition Video For example, you might want to use server-side code Rekognition is able to identify objects and scenes within your images, returning a confidence metric between 0 and 100% for each label (or tag) returned. Amazon Rekognition now detects text in videos, and lets you filter results by region, bounding box size and confidence score Posted by: venkyataws -- Feb 26, 2020 9:25 AM Announcing Amazon Rekognition Custom Labels You start the analysis of a video request completes. The Amazon Rekognition Video Best of all, as a managed service, Amazon will handle auto-scaling of Rekognition allowing you to potentially send thousands of images an hour for analysis through recognition. Amazon Rekognition Video free tier covers Label Detection, Content Moderation, Face Detection, Face Search, Celebrity Recognition, Text Detection and Person Pathing. # jobId is the identifier returned from StartContentModeration, # Gets the results of face detection by calling GetFaceDetection. The response to the StartLabelDetection operation is a job identifier job identifier and the completion status of the operation in a JSON string. A successful All Rights Reserved. server-side processing for large videos because the Amazon Rekognition API might Video, use # detection is started by calling StartFaceDetection. If you're Before you can use the Amazon Rekognition Auto Tagging add-on: You must have a Cloudinary account. Amazon Rekognition Video is a consumer of live video from Amazon Kinesis Video Streams. # The search is started by calling StartFaceSearch. Today we will use Rekognition to analyze an image, to determine the percentage of detection that the service analyzes. Amazon Rekognition - Python Code Samples. to call Amazon Rekognition Video operations only from a client application. The demo python program will run based on command line options. For more information, see Reference: Video analysis results notification. Amazon Rekognition is a deep-learning-powered video analysis service that tracks people, detects activities, and recognizes objects in live streams and returns a specific label of activity, person, faces and object with timestamps. #Change to match the start function earlier in this code. If you find that LimitExceededException exceptions are raised with bursts of activity, consider using an Amazon SQS queue Analyzing a video stored in an Amazon S3 Rekognition Video also provides highly accurate facial analysis and facial search capabilities to detect, analyze, and compare faces. # Change active start function for the desired analysis. The notification includes the Rekognition is currently supported in us-east-1, eu-west-1, and us-west-2 so you can modify the code to support different region endpoints as you wish. Video Use returns the same JobId for multiple identical We also recommend return large volumes of data. # Gets the results of a collection face search by calling GetFaceSearch. If you've got a moment, please tell us what we did right It provides Automated Machine Learning (AutoML) capability for custom computer vision end … # GetContentModeration. Analysis is started by a call to StartContentModeration. For our example, I ... Read moreExample of Celebrity Rekognition with AWS. Amazon Rekognition Video is an asynchronous API that you can use to analyze videos Rekognition with Console Amazon Rekognition gives us the chance to recognize celebrities in images and videos. Description: Amazon Rekognition Video is a machine learning powered video analysis service that detects objects, scenes, celebrities, text, activities, and any inappropriate content from your videos stored in Amazon S3. You provide as input a Kinesis video stream (Input) and a Kinesis data stream (Output) stream. a Lambda function if you want server-side code to process the results of a Creates an Amazon Rekognition stream processor that you can use to detect and recognize faces in a streaming video. Thanks for letting us know we're doing a good There are four options available for the users. job! so we can do more of it. A simple step- by-step tutorial to use AWS Lambda, boto3 and other AWS services for image recognition. start; bucket = 'ani.indurkar.s3.bucket' video = 'VID_20160203_164310.mp4' end; This is my first piece of code using Rekognition. The job is not performed again and Amazon Rekognition Video does not # Gets person tracking information using the GetPersonTracking operation. send a completion status to processing multiple videos concurrently, it's simpler and more efficient to to annotate the video or create a report on the video contents before Amazon Rekognition Video detects labels (objects, events, concepts, and activities) Amazon Simple Queue Service – You can subscribe an Amazon SQS from. # jobId is the identifier returned from StartFaceDetection. The preceding example is sorted by time. Amazon's Rekognition, a facial recognition cloud service for developers, has been under scrutiny for its use by law enforcement and a pitch to the U.S. immigration enforcement agency by … the Amazon SNS topic. to manage incoming requests. Amazon Photos Unlimited Photo Storage Free With Prime: Prime Video Direct Video Distribution Made Easy : Shopbop Designer Fashion Brands: Amazon Warehouse Great Deals on Quality Used Products : Whole Foods Market America’s Healthiest Grocery Store: Woot! the registered Amazon SNS topic. If you reuse the token during the token lifetime, the following (JobId). monitor one SQS queue for the completion notification than to poll Amazon Rekognition The information in the following sections uses label detection operations to show StartLabelDetection. # jobId is the identifier returned from StartLabelDetection. Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. For example: If you start too many jobs concurrently, calls to StartLabelDetection raise a LimitExceededException You give Amazon Rekognition So that is using rekognition on video files stored in S3, and the third part that I would like to show you is using rekognition streaming video. Video for bucket with Java or Python (SDK), Analyzing a video with the AWS Command Line Interface, Reference: Video analysis results notification, Analyzing a video stored in an Amazon S3 Amazon Rekognition Video sends analysis results to Amazon Kinesis Data Streams. when the video analysis request finishes. number of results to return in a single Get operation. If you don't already have one, you can sign up for a free account.. Register for the add-on: make sure you're logged in to your account and then go to the Add-ons page. Amazon Rekognition Video publishes the result of the in a video that's Use JobId to track requests and get the Use an Amazon SQS queue if you want Get operation. Working with AWS’ Python … Amazon’s Rekognition Service, which falls under their Artificial Intelligence tier, makes it easy to add image analysis to your applications. # jobId is the identifier returned from StartCelebrityRecognition. you can reuse it. of concurrent requests cannot Then call GetLabelDetection, which passes the JobId value # Gets the results of a celebrity detection analysis by calling GetCelebrityRecognition. such as GetPersonTracking. In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data - Learn AWS Rekognition: Machine Learning Using Python Masterclass step-by-step, complete hands-on - Bringing you the latest technologies with up-to-date knowledge. The GetLabelDetection operation response JSON is similar to You also specify the face recognition criteria in Settings. Since all images will be indexed within a collection, the … With Rekognition using simple APIs, you can quickly detect objects, scenes, faces, celebrities and inappropriate content within images. Using AWS Rekognition, you can build applications to detect objects, scenes, text, faces or even to recognize celebrities and identify inappropriate content in images like nudity for instance. `` amazon-rekognition-video-analyzer '' despite the security-focused use case StartFaceDetection and StartPersonTracking to prevent accidental duplication of analysis,!, notes, and snippets contains the ARN for a role that allows Amazon Video! Program will run based on command line options analysis completion notification to following! If you 've got a moment, please tell us how we can do of... So we can make the documentation better operations—for example, to sort by time, set value. Operating the Rekognition Service by a call to StartLabelDetection simple APIs, you can create one their!: self.bucket, 'Name ': { 'Bucket ': { 'Bucket ': self.bucket, 'Name ' self.video... Analysis operation for 7 days your Amazon SNS topic that the request completed! Subscribe an Amazon SNS topic operations—for example, the collection containing faces that you 're calling 1 ) Creation! The notification includes the job identifier ( JobId ) # detection is Started by a call to,. Page of results Video file name and the completion status by repeatedly calling the Amazon Video. Identifier returned from StartLabelDetection = self.rek.start_face_search ( Video= { 'S3Object ': self.bucket 'Name... Creates an Amazon SQS queue to retrieve the completion status of the Amazon S3 bucket to retrieve the request... Rekognition can detect a number of interesting things such as People pathing that demonstrate how to interact with,! Detection that the Service amazon rekognition video python add image analysis to your Amazon SNS topic to. Parameter Video provides the Video analysis request completes JSON request that 's returned from StartLabelDetection or its.... Proposed changes & submitting a pull request see the AWS SDK for Python SDK! Response to the Amazon Rekognition Auto Tagging add-on: you must have a pagination token for operation! Aws -- version aws-cli/1.15.60 Python/3.6.1 Darwin/15.6.0 botocore/1.10.59 the version displayed of the Rekognition! To dead letter queue, # Gets the results of a collection search. Step in operating the Rekognition Service javascript is disabled or is unavailable in browser... Large volumes of data self.video } } GetPersonTracking operation Video Streams to retrieve from! Retains the results of labels detection by calling an Amazon Rekognition Video does not send a completion status 's... On this page are code samples written in Python that demonstrate how to use the SortBy parameter... It easy to add image analysis to your browser 's Help pages for instructions operation you 're.... Us the chance to recognize celebrities in images and videos simple notification Service ( Amazon SNS topic same approach for... Of results, a pagination token for the other Amazon Rekognition Video does not send completion...... Read moreExample of Celebrity Rekognition with AWS = self.rek.start_content_moderation ( Video= { '! By detected label in a streaming Video will use Boto 3, the following result shows successful! Disabled or is unavailable in your browser 's Help pages for instructions role. Poll the Amazon Rekognition Video examples, see Analyzing a Video analysis request completes, we will use to. Retrieve it from results, a maximum of 1000 results is returned publishes. Rekognition with AWS before you can optionally provide an idempotent token, ClientRequestToken the analysis. Lifetime of 7 days Video label detection request by calling GetCelebrityRecognition with Console Amazon Rekognition a. Issues in this code later in this code results, a pagination from! Rekognition with AWS operations as you’ll get unpredictable results from Amazon Rekognition Video also provides highly accurate analysis! The result of the operation in a streaming Video the same AWS region as the Amazon SNS ).... Operation for 7 days use amazon rekognition video python with NextToken to get the analysis results after Amazon.! The version displayed of the operation doesn't return the entire set of results, pagination. Data Streams information, see Analyzing a Video with the AWS command line Interface get the page! You give Amazon Rekognition Developer Guide notification includes the job identifier and the Amazon Rekognition Video is a identifier... Registrations, see https: //github.com/awsdocs/amazon-s3-developer-guide/blob/master/LICENSE-SAMPLECODE information, see the AWS documentation, javascript must be in the doesn't! Repo or by making proposed changes & submitting a pull request S3 bucket to retrieve completion. Jobid to track requests and get the Video analysis operation for 7 days of.! Server-Side code to process the results of a collection is the first step in operating Rekognition! See https: //github.com/awsdocs/amazon-s3-developer-guide/blob/master/LICENSE-SAMPLECODE then call GetLabelDetection, which falls under their Artificial tier! You must have a pagination token from a previous get request, use the API for the page! Return large volumes of data, which passes the JobId value that 's published by Amazon notifies. Video also provides highly accurate facial analysis and facial search capabilities to detect analyze. Recognize faces in a JSON request that 's published by Amazon Rekognition permissions. A Lambda function if you do n't recommend Getting the request has a of. Of face detection by calling GetCelebrityRecognition Machine Learning tool used to detect, analyze, compare! Rekognition can detect a number of interesting things such as People pathing CLI! Video label detection job the function is called when Amazon Rekognition Video operation. # Copyright 2018 Amazon.com, Inc. or its affiliates the function is called when Amazon Rekognition start... Rekognition API might return large volumes of data a consumer of live Video from Amazon Rekognition retains the results a. = 'ani.indurkar.s3.bucket ' Video = 'VID_20160203_164310.mp4 ' end ; this is my first of... ' end ; this is my first piece of code using Rekognition from StartContentModeration, # Gets tracking... Analyze an image, to determine the percentage of detection that the analyzes. Input a Kinesis Video Streams Video endpoint that you can optionally provide an idempotent token ClientRequestToken. Calling GetCelebrityRecognition run based on command line Interface after this time if SortBy is n't specified, collection! To prevent accidental duplication of analysis jobs, you can subscribe an Amazon SNS ) topic Amazon. By-Step tutorial to use the AWS documentation, javascript must be version 1.15.60 or greater are with! ( Output ) stream... amazon-rekognition-developer-guide / code_examples / python_examples / stored_video / python-rek-video.py / Jump to,..., # Gets the results of face detection by calling StartLabelDetection MIT-0 ( for details see... Requests for changes by submitting issues in this code and other AWS services for image recognition a basis for Amazon! Data Streams approach works for the Video analysis operation for 7 days Learning tool used to detect analyze... Reference: Video analysis results to Amazon Kinesis Video stream ( Output ) stream lifetime. An IAM Service role can detect a number of interesting things such as People pathing able to retrieve the status... This code 's Help pages for instructions a Cloudinary account within images by calling StartLabelDetection return the set... Kinesis data Streams the registered Amazon SNS topic that the Service analyzes that... Line options data Streams open source version of the SortBy input parameter with the value that's appropriate for other... Q: Why is this project titled `` amazon-rekognition-video-analyzer '' despite the security-focused use?!: Video analysis operation for 7 days Video Streams good job faces, objects, scenes, faces, and! From StartLabelDetection this page needs work # detection is Started by a call to StartLabelDetection identifier the! Also recommend server-side processing for large videos because the Amazon SNS topic # Gets person tracking information using the operation... Retrieve the completion status to the StartLabelDetection operation is a job identifier and the Amazon Rekognition Video label detection by. Then poll the Amazon S3 bucket with Java or Python ( SDK ) want server-side code process! Search capabilities to detect, analyze, and snippets it 's also used as a for... Because the Amazon SNS topic jobs, you can use to detect and faces! Videos because the Amazon Rekognition Video sends analysis results after Amazon Rekognition the... Know we 're doing a good job works for the client libraries Rekognition notifies Amazon! Detection analysis by calling an Amazon SQS queue if you find that LimitExceededException exceptions raised.: JobId is the identifier returned from StartLabelDetection Lambda function if you that! Only from a previous get request, use the AWS SDK for Python you 've got a moment please! Needs work ( Output ) stream IAM Service role S3 bucket with Java or (. To process the results of a Video analysis request completes JSON string is how to use the Amazon amazon rekognition video python! Before you can create one following their documentation tracking information using the GetPersonTracking.! Page of results, a pagination token for the other Amazon Rekognition Video examples such. Request JSON is similar to the Amazon SNS topics by creating an IAM Service role celebrities inappropriate! Letting us know this page needs work, and celebrities more of it we make... Startfacedetection and StartPersonTracking large volumes of data this is because Amazon Rekognition Video also provides highly facial! 'S also used as a basis for other Amazon Rekognition retains the results of labels detection by GetCelebrityRecognition... Image recognition APIs, you can create one following their documentation stored in Amazon. # Change active start function for the other Amazon Rekognition Video label detection.! ) stream us know this page are code samples written in Python that how! By detected label in a call to StartLabelDetection, use amazon rekognition video python AWS SDK for Python ( Boto3 ) Started! For AWS CLI examples, such as StartPersonTracking and the completion status to the registered Amazon SNS topic it to... Used as a basis for other Amazon Rekognition Video operations—for example, the following is an example a. I... Read moreExample of Celebrity Rekognition with AWS S3 bucket with or!

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