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Gunakan DisassociateFaces dengan AWS SDK atau CLI
Contoh kode berikut menunjukkan cara menggunakanDisassociateFaces.
- 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 untuk 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()
Untuk daftar lengkap panduan pengembang AWS SDK dan contoh kode, lihatMenggunakan Rekognition dengan SDK AWS. Topik ini juga mencakup informasi tentang memulai dan detail tentang versi SDK sebelumnya.
