Install#
The latest stable releases of Tonic are available on pypi, so you can just type:
pip install tonic
Tonic is also available via conda! If you prefer to use conda, please follow the instructions as outlined here.
If you’d like to use the latest pre-release, which is the latest code on the develop branch that passed the tests, you can also install:
pip install tonic --pre
Requirements#
Even though Tonic is modeled after PyTorch Vision, it does not depend on it or PyTorch for that matter. We want to keep our package lightweight to provide a minimum set of functionality, while at the same time being compatible with mature dataloading classes in larger frameworks. We keep dependencies to a minimum set of packages that help with decoding different file formats such as hd5f, rosbags and others.
Supported platforms#
Tonic being a Python only package, support across platforms should be without issues for the most part. We test Tonic on the earliest and latest Python 3 version that is officially supported, both on Linux and Windows. If you run into any problems installing it on your system, please let us know.