A boilerplate to use multiprocessing for your gRPC server in your Python project
A boilerplate to use multiprocessing for your gRPC server in your Python project
This repo is a boilerplate showing how you can use multiprocessing with gRPC in python.
This project offers a minimum reproducible example of clients sending batches of images to gRPC servers.
The client.py
starts a pool of several gRPC channel. Each of those clients process send a batch to one of the gRPC server
in parallel.
Copy the .env.example
file into a .env
file, adjust the NUM_IMAGES
and NUM_WORKERS
variables
and start playing around by typing
git clone [email protected]:fpaupier/gRPC-multiprocessing.git && cd gRPC-multiprocessing
cp .env.example .env # adjust the nº of workers as you wish
docker-compose run client
# INFO [/usr/app/client.py:126]: OCR Test client started.
# INFO [/usr/app/client.py:115]: Reading src image...
# ...
on the Internet
Project social image credits to Miguel Á. Padriñán