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Universal gait event detection toolkit — 10 methods including BIKE, with C-accelerated backends

Project description

gaitkit (Python)

Python package for gait event detection from motion-capture data.

Install

Current status: PyPI release available (latest stable on PyPI).

Install from local source:

python -m pip install -e ./python
python -m pip install -e "./python[all]"   # optional extras

Once published:

pip install gaitkit

Optional extras:

pip install "gaitkit[all]"   # onnx + deep + viz

Quick Start

import gaitkit

trial = gaitkit.load_example("healthy")
result = gaitkit.detect(trial, method="bike")
print(result.summary())

# Optional: combine C3D markers with an external angle file
result2 = gaitkit.detect("trial_07.c3d", method="bike", angles="res_angles_t.mat")

DeepEvent weights are downloaded automatically on first DeepEvent use and cached in ~/.cache/gaitkit/.

Project

Development testing

python -m pip install -e ./python
python -m unittest -v

Build distributions

python -m pip install build
cd python
python -m build

Project details


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Source Distribution

gaitkit-1.2.0.tar.gz (11.9 MB view details)

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