A library for analyze joint angles from IMU data
Project description
PyJama - Python for Joint Angle Measurement Acquisition
PyJama is a friendly python library for analyzing human kinematics data. Aimed at analyzing data from IMU's, MIMU's, data from optical devices and in the future tracking data from deeplearning models.
Installation
The latest stable release is available on PyPI, and you can install it by saying
pip install pyjamalib
Anaconda users can install using conda-forge
:
conda install -c conda-forge pyjamalib
To build PyJama from source, say python setup.py build
.
Then, to install PyJama, say python setup.py install
.
If all went well, you should be able to execute the demo scripts under examples/
(OS X users should follow the installation guide given below).
Alternatively, you can download or clone the repository and use pip
to handle dependencies:
unzip pyjamalib.zip
pip install -e pyjamalib
or
git clone https://github.com/tuliofalmeida/pyjama
pip install -e pyjamalib
By calling pip list
you should see pyjamalib
now as an installed package:
pyrat (0.x.x, /path/to/pyjamalib)
Development Team:
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