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rekognition-image-python-search-faces-collection.py

rekognition-image-python-search-faces-collection.py demonstrates how to search for faces in a collection that match a face ID.

#Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved. #PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.) # Copyright 2010-2019 Amazon.com, 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 # # http://aws.amazon.com/apache2.0/ # # 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 collectionId and faceID with tthe values you want to use. collectionId='MyCollection' threshold = 50 maxFaces=2 faceId='xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx' client=boto3.client('rekognition') response=client.search_faces(CollectionId=collectionId, FaceId=faceId, FaceMatchThreshold=threshold, MaxFaces=maxFaces) faceMatches=response['FaceMatches'] print ('Matching faces') for match in faceMatches: print ('FaceId:' + match['Face']['FaceId']) print ('Similarity: ' + "{:.2f}".format(match['Similarity']) + "%") print

Sample Details

Service: rekognition

Last tested: 2019-01-3

Author: reesch (AWS)

Type: full-example

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