Use DisassociateFaces with an AWS SDK or CLI - AWS SDK Code Examples

There are more AWS SDK examples available in the AWS Doc SDK Examples GitHub repo.

Use DisassociateFaces with an AWS SDK or CLI

The following code examples show how to use DisassociateFaces.

CLI
AWS CLI
aws rekognition disassociate-faces --face-ids list-of-face-ids --user-id user-id --collection-id collection-name --region region-name
Python
SDK for Python (Boto3)
from botocore.exceptions import ClientError import boto3 import logging logger = logging.getLogger(__name__) session = boto3.Session(profile_name='profile-name') client = session.client('rekognition') def disassociate_faces(collection_id, user_id, face_ids): """ Disassociate stored faces within collection to the given user :param collection_id: The ID of the collection where user and faces are stored. :param user_id: The ID of the user that we want to disassociate faces from :param face_ids: The list of face IDs to be disassociated from the given user :return: response of AssociateFaces API """ logger.info(f'Disssociating faces from user: {user_id}, {face_ids}') try: response = client.disassociate_faces( CollectionId=collection_id, UserId=user_id, FaceIds=face_ids ) print(f'- disassociated {len(response["DisassociatedFaces"])} faces') except ClientError: logger.exception("Failed to disassociate faces from the given user") raise else: print(response) return response def main(): face_ids = ["faceId1", "faceId2"] collection_id = "collection-id" user_id = "user-id" disassociate_faces(collection_id, user_id, face_ids) if __name__ == "__main__": main()
  • For API details, see DisassociateFaces in AWS SDK for Python (Boto3) API Reference.