There are more AWS SDK examples available in the AWS Doc SDK Examples
Use DisassociateFaces
with an AWS SDK or CLI
The following code examples show how to use DisassociateFaces
.
- CLI
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- AWS CLI
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aws rekognition disassociate-faces --face-ids list-of-face-ids --user-id user-id --collection-id collection-name --region region-name
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For API details, see DisassociateFaces
in AWS CLI Command Reference.
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- Python
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- SDK for Python (Boto3)
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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()
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For API details, see DisassociateFaces in AWS SDK for Python (Boto3) API Reference.
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