AWS Code Sample
Catalog demonstrates how to create an inference Lambda function on an AWS DeepLens model.

# Copyright 2010-2019, Inc. or its affiliates. All Rights Reserved. # # 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 # # # # or in the "license" file accompanying this file. 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 time import os import DeepLens_Kinesis_Video as dkv from botocore.session import Session import greengrasssdk def greengrass_hello_world_run(): # Create the green grass client so that we can send messages to IoT console client = greengrasssdk.client('iot-data') iot_topic = '$aws/things/{}/infer'.format(os.environ['AWS_IOT_THING_NAME']) # Stream configuration, name and retention # Note that the name will appear as deeplens-myStream stream_name = 'myStream' retention = 2 #hours # Amount of time to stream wait_time = 60 * 60 * 5 #seconds # Use the boto session API to grab credentials session = Session() creds = session.get_credentials() # Create producer and stream. producer = dkv.createProducer(creds.access_key, creds.secret_key, creds.token, "us-east-1") client.publish(topic=iot_topic, payload="Producer created") kvs_stream = producer.createStream(stream_name, retention) client.publish(topic=iot_topic, payload="Stream {} created".format(stream_name)) # Start putting data into the KVS stream kvs_stream.start() client.publish(topic=iot_topic, payload="Stream started") time.sleep(wait_time) # Stop putting data into the KVS stream kvs_stream.stop() client.publish(topic=iot_topic, payload="Stream stopped") # Execute the function above greengrass_hello_world_run()

Sample Details

Service: deeplens

Last tested: 2019-01-07

Author: AWS

Type: full-example

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