Metadata-Version: 2.1
Name: pyjamalib
Version: 0.4.3
Summary: A library for analyze joint angles from IMU data
Home-page: https://github.com/tuliofalmeida/pyjama
Author: Túlio F. Almeida
Author-email: tuliofalmeida@hotmail.com
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib

# 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:
-------------------

- [Tulio Almeida]
- [Abner Cardoso] 
- [AndrÃ© Dantas]

<!-- Links -->
[Abner Cardoso]:https://github.com/abnr
[Tulio Almeida]:https://github.com/tuliofalmeida
[AndrÃ© Dantas]:https://github.com/lordcobisco



