Check out this video for step by step guide on Image recognition using AWS Lambda , Rekognition and other AWS services:
Get our AWS Lambda Beginners course on Udemy: https://www.udemy.com/lambda-course/?couponCode=MAHALESS
Code here:
from __future__ import print_function import boto3 from decimal import Decimal import json import urllib print('Loading function') rekognition = boto3.client('rekognition') client = boto3.client('sns') def detect_labels(bucket, key): response = rekognition.detect_labels(Image={"S3Object": {"Bucket": bucket, "Name": key}}) return response # --------------- Main handler ------------------ def lambda_handler(event, context): print (event) bucket = event['Records'][0]['s3']['bucket']['name'] key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key'].encode('utf8')) try: # Calls rekognition DetectLabels API to detect labels in S3 object response = detect_labels(bucket, key) tosend="" for Label in response["Labels"]: # print (Label["Name"] + Label["Confidence"]) print ('{0} - {1}%'.format(Label["Name"], Label["Confidence"])) tosend+= '{0} - {1}% '.format(Label["Name"], Label["Confidence"]) message = client.publish(TargetArn='arn:aws:sns:us-east-1:771452637355:Image-recognition-sns', Message=tosend ,Subject='Uploaded Image Labels') return "hello" except Exception as e: print(e) print("Error processing object {} from bucket {}. ".format(key, bucket) + "Make sure your object and bucket exist and your bucket is in the same region as this function.") raise e
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