Installation#
replay_trajectory_classification can be installed through pypi or conda. Conda is the best way to ensure that all the dependencies are installed properly.
pip install replay_trajectory_classification
Or
conda install -c edeno replay_trajectory_classification
Developer Installation#
For people who want to expand upon the code for their own use:
Install miniconda (or anaconda) if it isn’t already installed. Type into bash (or install from the anaconda website):
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
bash miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
hash -r
Go to the local repository on your computer (
cd replay_trajectory_classification) and install the anaconda environment for the repository. Type into bash:
conda update -n base conda # make sure conda is up to date
conda env create -f environment.yml # create a conda environment
conda activate replay_trajectory_classification # activate conda environment
python setup.py develop