animovement v0.4.1

Small patch of read_animalta().

animovement v0.4.0

With this new release we have implemented a bunch of readers for your movement data. We now have the following readers implemented:

Centroid tracking

• read_animalta for AnimalTA
• read_bonssai for Bonsai
• read_idtracker for idtracker.ai
• read_trex for TRex

Pose estimation

• read_deeplabcut for DeepLabCut
• read_sleap for SLEAP
• read_lightningpose for LightningPose

We have also added a new function, group_every, which allows you to min your data much more easily e.g. "every 5 seconds".

Hope you enjoy it, and let us know of any bugs in the issues!

animovement v0.2.0

Package name changed to animovement! To reflect the change in scope of the package to now cover a wide variety of movement data, the package has changed its name. This was a conscious decision as maintaining two packages with similar functionality wouldn't be feasible long-term. The new update brings with it a wealth of new functionality, but also a lot of breaking changes. With this update, the package aligns much closer to my vision for it, and I expect no more major breaking changes in the near future. So let's delve in to all the new stuff!

• Much improved documentation
• Added new readers read_deeplabcut(), read_sleap(), read_trex()...
• Standardised data cleaning with smooth_tracks()
• More tests

Although this is annoying to current users, it was a necessity to ensure proper testing of all the various functions which have now been broken into smaller subsets. If you still need the former trackballr package functionality, you can download the source files in Github and install from source.

If you encounter bugs, please report them in the Github issues.

v0.1.1

This is the first release of the trackballr package. It is still in alpha phase, so expect some breaking changes in the future.