MNIST API Server
MNIST inference server w/ FastAPI
Prerequisites
$ make env # create anaconda environment
$ make setup # initial setup for the project
How to Play
$ make train # train conv net (optional)
$ make backend # start up the server
$ make frontend # start up frontend (draw board)
For Developers
$ make format # format python scripts
$ make lint # lint python scripts
$ make utest # run unit tests
$ make cov # open coverage report (after `make utest`)
References
- https://github.com/pytorch/examples/blob/master/mnist/main.py
- https://github.com/KiLJ4EdeN/fastapi_tf-keras_example
- https://github.com/rahulsrma26/streamlit-mnist-drawable
- https://github.com/zademn/mnist-mlops-learning
