Awesome
Prototype for lung nodule detection
This repository contains multiple useful scripts to train (and score) models with mxnet for the LUNA challenge.
Dependencies
First, add this library to your python path. Then install the following libraries if they are not already installed:
Libraries
Install these with pip:
pip install -r requirements.txt
mxnet
Either install manually (needed to enable GPU support) or use pip:
pip install mxnet
OpenCV
Either install manually or use pip:
pip install opencv-python
Add to python path
Add the scripts
path to your PYTHONPATH
.
If you use virtualenv
you can use a .pth file, e.g. execute this command
from the git root repository (replace [YOUR_VENV_PATH]
):
echo "$(pwd)/scripts" > [YOUR_VENV_PATH]/lib/python2.7/site-packages/lucad.pth
Otherwise add something like this to your .bashrc
or .zshrc
and
logout/login or reboot:
export PYTHONPATH="$PYTHONPATH:[GIT_ROOT]/scripts"
Execute scripts
Please execute all scripts from this directory, i.e. to start the viewer use this command from git root directory:
python scripts/viewer/viewer.py path/to/LUNA/data