Kaggle Data Science Bowl 2017 - ECE 6254

Class project submission

Resources

https://www.kaggle.com/c/data-science-bowl-2017

https://www.kaggle.com/gzuidhof/data-science-bowl-2017/full-preprocessing-tutorial

Installing / Getting started

A minimal setup you need to get running.

Ubuntu 14.04

Get necessary packages

sudo apt-get update
sudo apt-get install git python3 python3-pip
sudo -H pip3 install virutualenvwrapper

Set up the environment

mkdir ~/projects && cd ~/projects
git clone https://github.gatech.edu/kds17/kds17.git
mkvirtualenv kds17
echo "proj_name=\$(basename \$VIRTUAL_ENV) 
cd ~/projects/\$proj_name" >> ~/.venv/postactivate
deactivate
workon kds17
pip install -r requirements.txt
python

If you do not have CUDA and cuDNN installed then pip install will fail with tensorflow-gpu. Just install the regular one in your virtual environment:

pip install tensorflow

Test the environment

import cv2
import tensorflow as tf

If you did not receive any errors while importing the packages then you should be good to go!

Licensing

The code in this project is licensed under MIT license.