aaroncherian / freemocap_playground Goto Github PK

Jupyter Notebook 18.45% Python 78.58% HTML 2.17% JavaScript 0.13% Vue 0.55% CSS 0.12%

freemocap_playground's Introduction

1) To use the NIH GUI, run the NIH_GUI.py file 
2) When the GUI appears, press the 'Load a session folder' button to load in the session you'd like to use
3) You can optionally load in a video as well
4) You can save frame intervals for specific conditions by choosing them from the dropdown menu and typing in starting and ending frames, and saving them to the table
5) Running the balance assessment will calculate path length for the intervals and bring up path length histograms of the data
6) Choose a name for the folder that will contain the data analysis results - this folder will be saved within the 'data_analysis' folder in your session 
7) Press 'Save out data analysis' results to save out data

freemocap_playground's People

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jonmatthis kileyhartigan trentwirth

freemocap_playground's Issues

Create a pandas dataframe for the body, right hand, left hand and face from mediapipe data

potentially model the dataframe off of pose2sim methods
decide if reprojection error should be in the dataframes or not
check mediapipe documentation for body part names

Plan post-processing analyses

Figure out clinically valid Qualisys marker placement

Talk to Josh/Corey/Kara/whoever in Stefanik lab

Hijack pose2sim trace file maker

convert data into a pandas dataframe that can be potentially taken in by pose2sim methods to convert into a .trc file?
create a dataframe from freemocap data
make dataframes for body, right hand, left hand and face (separately)
check mediapipe documentation for names for body parts