AWS Code Sample
Catalog demonstrates how to add faces, detected in an image, to an Amazon Rekognition collection.

# Copyright 2010-2019, Inc. or its affiliates. All Rights Reserved. # # This file is licensed under the Apache License, Version 2.0 (the "License"). # You may not use this file except in compliance with the License. A copy of the # License is located at # # # # This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS # OF ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. import boto3 if __name__ == "__main__": # replace bucket, collectionId, and photo with your values. bucket='bucket' collectionId='MyCollection' photo='photo' client=boto3.client('rekognition') response=client.index_faces(CollectionId=collectionId, Image={'S3Object':{'Bucket':bucket,'Name':photo}}, ExternalImageId=photo, MaxFaces=1, QualityFilter="AUTO", DetectionAttributes=['ALL']) print ('Results for ' + photo) print('Faces indexed:') for faceRecord in response['FaceRecords']: print(' Face ID: ' + faceRecord['Face']['FaceId']) print(' Location: {}'.format(faceRecord['Face']['BoundingBox'])) print('Faces not indexed:') for unindexedFace in response['UnindexedFaces']: print(' Location: {}'.format(unindexedFace['FaceDetail']['BoundingBox'])) print(' Reasons:') for reason in unindexedFace['Reasons']: print(' ' + reason)

Sample Details

Service: rekognition

Last tested: 2019-01-3

Author: reesch (AWS)

Type: full-example

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