Setup: Set AWS access id and secret key environment variables on local machine. Create deep learning EC2 instance with ubuntu operating system and set .aws/credentials and .aws/config files. Create a directory named proj1-worker in home directory. Copy classify_image.py, worker.sh, worker.py to the directory created from the above step. Copy the worker.service file to /etc/systemd/system directory and restart the systemd service. Register the AMI for the above instance and replace ami-id in the application.properties file with the created ami id. Create 3 Standard queues named as request, response and terminate queue. Create a S3 bucket named ccimagerecognition. Note: All the above AWS services should be created in us-west-1 region.
Steps to run: 1. Start the Apache tomcat server using the below command. mvn spring-boot:run 2. Open browser. 3. Make sure that tomcat server is running by entering the following url. http://localhost:50003 4. Provide a image url by making GET request to the server as shown below. http://localhost:50003/cloudimagerecognition.php?input=
- You should be able to see a key value pair as the output where key is image name and the value is the class of the image. It should take about a minute for the result to show up.