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rekognition-image-python-detect-labels.py

rekognition-image-python-detect-labels.py demonstrates how to detect labels in an image loaded from an S3 Bucket.

# 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__": # Change bucket and photo to your S3 Bucket and image. bucket='bucket' photo='photo.jpg' client=boto3.client('rekognition') response = client.detect_labels(Image={'S3Object':{'Bucket':bucket,'Name':photo}}, MaxLabels=10) print('Detected labels for ' + photo) print() for label in response['Labels']: print ("Label: " + label['Name']) print ("Confidence: " + str(label['Confidence'])) print ("Instances:") for instance in label['Instances']: print (" Bounding box") print (" Top: " + str(instance['BoundingBox']['Top'])) print (" Left: " + str(instance['BoundingBox']['Left'])) print (" Width: " + str(instance['BoundingBox']['Width'])) print (" Height: " + str(instance['BoundingBox']['Height'])) print (" Confidence: " + str(instance['Confidence'])) print() print ("Parents:") for parent in label['Parents']: print (" " + parent['Name']) print ("----------") print ()

Sample Details

Service: rekognition

Last tested: 2019-01-3

Author: reesch (AWS)

Type: full-example

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