Metadata-Version: 2.1
Name: skelly_viewer
Version: 2023.1.1008
Summary: View a skelly
Keywords: basic,template,python,repository
Author-email: Skelly FreeMoCap <info@freemocap.org>
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Dist: pytest
Requires-Dist: numpy
Requires-Dist: rich
Requires-Dist: PyQt6
Requires-Dist: opencv-contrib-python
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: black ; extra == "dev"
Requires-Dist: bumpver ; extra == "dev"
Requires-Dist: isort ; extra == "dev"
Requires-Dist: pip-tools ; extra == "dev"
Requires-Dist: pytest ; extra == "dev"
Provides-Extra: dev

# Installation

Create a conda environment using Python 3.9 (though 3.8/3.10 should work too, if that matters) and activate your conda environment 

Install skelly_viewer using `pip install skelly_viewer`

# Usage

After installing, in your conda terminal (with the right environment active), type `skelly_viewer'

You should see a GUI pop up with an empty graph, a slider, and two buttons

Click the `Load a session folder` button, and select a session folder that you would like to view the data from using the folder dialog 
(NOTE: As of right now, this viewer only works with pre-alpha labeled, post-processed data (it looks the `DataArrays` folder with a file 
called `mediaPipeSkel_3d_origin_aligned.npy` inside of it)

You can move the slider, and the 3D graph should show your skeleton

If you hit the `Load Videos` button on the side, select a folder of videos within your current session. When you move the slider, the videos
should load in and appear on the right hand side 




