View a skelly
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for skelly_viewer-2023.5.1018.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 55e741f8c43117f691ddd6525fe9d3b7fd5a82f1696c1db70d49bb36a5dd4d28 |
|
MD5 | 205b4d963521e97957cec346bec06cac |
|
BLAKE2b-256 | 765c094d750a44a5ee08d169791399e6da670b1f4c59731243c5ef006c91c306 |
Hashes for skelly_viewer-2023.5.1018-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7b8c740dd4dd574fbab05a2b98036144db244693e16da73d9aca4f016b80e77f |
|
MD5 | 974a760070380d825e679e995e63ece0 |
|
BLAKE2b-256 | 1a5137a271049db90cf402125fe41e39690f0c95ff9e13735147cb5e0958c084 |