AWS code-library documentation change
Summary
Added Rekognition video analysis example matching S3 file changes.
Security assessment
Duplicate of S3 file addition showing cross-service example, no security context present.
Diff
diff --git a/code-library/latest/ug/python_3_ses_code_examples.md index 638f60dbe..98ecae527 100644 --- a/code-library/latest/ug/python_3_ses_code_examples.md +++ b/code-library/latest/ug/python_3_ses_code_examples.md @@ -1689,0 +1690,24 @@ For complete source code and instructions on how to set up and run, see the full +The following code example shows how to detect people and objects in a video with Amazon Rekognition. + +**SDK for Python (Boto3)** + + +Use Amazon Rekognition to detect faces, objects, and people in videos by starting asynchronous detection jobs. This example also configures Amazon Rekognition to notify an Amazon Simple Notification Service (Amazon SNS) topic when jobs complete and subscribes an Amazon Simple Queue Service (Amazon SQS) queue to the topic. When the queue receives a message about a job, the job is retrieved and the results are output. + +This example is best viewed on GitHub. For complete source code and instructions on how to set up and run, see the full example on [GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/rekognition). + +###### Services used in this example + + * Amazon Rekognition + + * Amazon S3 + + * Amazon SES + + * Amazon SNS + + * Amazon SQS + + + +