Installation
Download
You can download the source code by cloning the GitHub repository:
git clone https://github.com/LuuuXG/cvdproc.git
Installation
Please create a new conda environment, which is more suitable for this package.
# Please replace <env_name> with the name you want for the environment
conda create -n <env_name> python=3.7 openssl=1.1.1
conda activate <env_name>
Python Version
Due to the features of the early version of SHIVA model, python 3.7 is used for tensorflow compatibility. We are working on updating the code to support higher versions of Python by using SHiVAi. For example, LST-AI for WMH segmentation needs python 3.8 or higher. Currently, the solution is to use a different environment for different pipelines if necessary.
Then, navigate to the directory where you downloaded the code (the folder containing setup.py), and run the following command:
# Use -e to allow modification of the code without needing to reinstall.
# Here </path/to/cvdproc> is the folder containing `setup.py`
pip install -e /path/to/cvdproc
# If it is necessary to use mirror
pip install -e /path/to/cvdproc -i https://pypi.tuna.tsinghua.edu.cn/simple
tensorflow and torch
Because these two packages are large, we do not specify them in setup.py. However, they will be used in the subsequent code. Please install them as needed.