This repository contains tutorials for the updated BrkRaw API using the example datasets hosted via Git LFS.
notebooks/00_getting_started.ipynb— install, download example data, and run core BrkRaw workflows (info, metadata, conversion).notebooks/01_orientation_unwrap_vs_pose.ipynb— compare unwrap pose vs subject pose, reorient to RAS, and visualize the differences.notebooks/02_cli_tutorial.ipynb— run the same workflow from the CLI with bash commands and inspect outputs inline.
Open the notebook list:
Open a specific notebook:
notebooks/00_getting_started.ipynbnotebooks/01_orientation_unwrap_vs_pose.ipynbnotebooks/02_cli_tutorial.ipynb
git lfs install
git clone https://github.com/BrkRaw/brkraw-dataset
# Create the tutorial environment
conda env create -f environment.yml
conda activate brkraw-tutorial
jupyter lab- The example datasets are stored in the
brkraw-datasetrepo using Git LFS. Make sure Git LFS is installed before cloning so you get the actual data. - The notebooks assume the dataset repo lives at
data/brkraw-dataset.