Overview

Here's an overview of the How-to-guides:

Documentation for New SLEAP Versions

This documentation is for the latest version of SLEAP.
If you are using SLEAP version 1.4.1 or earlier, please visit the legacy documentation.

Importing predictions for labeling when you have predictions that aren’t in the same project as your original training data and you want to correct some of the predictions and use these corrections to train a better model.

Tracking and proofreading provides tips and tools you can use to speed up proofreading when you’re happy enough with the frame-by-frame predictions but you need to correct the identities tracked across frames.

Run training and inference on Colab when you have a project with labeled training data and you’d like to run training or inference in a Colab notebook.

Creating a custom training profile for creating custom training profiles (i.e., non-default model hyperparameters) from the GUI.

Running SLEAP remotely when you have a project with training data and you want to train on a different machine using a command-line interface.

Bonsai Integration

Bonsai is not natively supported with the new Torch backend in SLEAP.
If you want to use Bonsai with legacy SLEAP models, please refer to the legacy Bonsai guide.