Dockerized deep learning
This repository contains code to run already trained, dockerized Deep Convolutional Network. Article describing whole process can be found here.
General installation instructions are on the Docker site, here are some quick links:
Running the container
We are using
Makefile to simplify docker commands within make commands.
Firstly, insert images compatible with CIFAR10 dataset into
Next, build the container
$ make build
and run classifier
$ make predict
It will find all images under
/data directory and classify them. Optionally, you can pass list of
images to classify (glob patterns supported):
$ make classify IMAGES="airplane*.png deer4.png"
Raw commands can be found inside
Makefile. Example without make:
$ docker run -it --rm -v $PWD/data:/srv/data cifar python predict.py