It's not difficult.
...
...
import cv2
import numpy as np
...
def lambda_handler(event, context):
# TODO implement
bucket_name = event['Records'][0]['s3']['bucket']['name']
s3_path = event['Records'][0]['s3']['object']['key']
#download object
obj = s3_client.get_object(Bucket=bucket_name, Key=s3_path)
#obj to cv2
nparr = np.frombuffer(obj['Body'].read(), np.uint8)
img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
#simple image processing
reimg = cv2.resize(img, (100,100) )
#cv2 to string
image_string = cv2.imencode('.png', reimg)[1].tostring()
#upload
s3_client.put_object(Bucket='thum-prj-output', Key = s3_path, Body=image_string)
...
No comments:
Post a Comment