- AWS CLI
- Python 3
- AWS SAM CLI
- Docker CLI
aws ecr create-repository --repository-name lambda-pytorch-example --image-scanning-configuration scanOnPush=true --region <REGION>
aws ecr get-login-password --region <REGION> | docker login --username AWS --password-stdin <AWS_ACCOUNT_ID>.dkr.ecr.<REGION>.amazonaws.com
sam build && sam deploy –-guided
Here's the architecture of the backend:
- The backend and the frontend communicate with each other over HTTP requests. Here is the workflow:
- An image is sent from the client through POST request
- The image is then received via API Gateway
- API Gateway triggers a Lambda function to execute and passes the image to it
- The docker image consists of lambda function and dependencies are loaded from AWS ECR
- The Lambda function starts running: it first fetches the pretrained models from S3 and detects objects from the given image
- Once the Lambda function is done running, it sends the detection result back to the client through API Gateway.