AWS Rekognition - Python Code

[dturneresq]

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.)

import boto3

def detect_labels(photo, bucket):

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 ()
return len(response['Labels'])

def main(): photo='' bucket='' label_count=detect_labels(photo, bucket) print("Labels detected: " + str(label_count))

if name == "main": main()

[dturneresq]

https://docs.aws.amazon.com/rekognition/latest/dg/images-s3.html