https://github.com/aaroncherian/skellymetrics

https://github.com/aaroncherian/skellymetrics

Science Score: 26.0%

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    Low similarity (11.1%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: aaroncherian
  • License: agpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 89.8 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 1
  • Releases: 0
Created almost 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

Dash App for Motion Capture Data Analysis

Overview

This Dash application is designed for analyzing and visualizing motion capture data, providing insights into positional and velocity data, error metrics, and comparisons between different motion capture systems.

Key Components

Layout

The app layout is divided into three main sections:

  • Sidebar: Contains buttons for selecting different markers.
  • Main Content: Displays various plots and charts related to motion capture data.
  • Info Section: Shows detailed information about the selected marker and includes the save report button.

Data Management

  • MoCapData Model: Encapsulates position and velocity data, RMSE, and absolute error dataframes, ensuring a structured and consistent data format.

Callbacks

Callbacks in Dash drive the interactivity of the app. Here's an overview of the key callbacks:

Selected Marker Callback

  • Purpose: Manages the selection of markers within the app.
  • Functionality:
    • Stores the name of the selected marker in dcc.Store.
    • Responds to user interactions like clicking on a marker in the graph or a button.
    • Other callbacks use this stored data to update plots and information cards.

Plot Update Callbacks

  • Purpose: Dynamically update the trajectory, velocity, and error plots based on the selected marker.
  • Functionality:
    • Retrieves the selected marker's name from dcc.Store.
    • Generates updated plots for the selected marker using the data stored in the MoCapData model.

Marker Name Callbacks

  • Purpose: Updates various components in the UI with the name of the currently selected marker.
  • Functionality:
    • Monitors changes in the selected marker stored in dcc.Store.
    • Updates elements like trajectory labels, error plot labels, etc., with the current marker name.

Special Components

  • dcc.Store:
    • Used to store the name of the currently selected marker.
    • Placed outside the visible layout components, acting as a silent data holder.
    • Enables efficient data management and inter-component communication.

Saving Reports

  • Save Button:
    • Located in the Info Section.
    • Allows users to save a comprehensive report of the current analysis as an HTML file.
    • The report includes RMSE and absolute error data, plots, and other relevant information.

User Interaction

  • Graphs and Buttons:
    • Users can interact with various elements like scatter plots, marker buttons, etc.
    • These interactions trigger callbacks that update the app's content dynamically.

Usage (not updated)

To run the app:

  1. Ensure all dependencies are installed.
  2. Navigate to the app directory and run python app.py.

Owner

  • Name: Aaron Cherian
  • Login: aaroncherian
  • Kind: user
  • Company: Northeastern University

Currently PhD-ing at Northeastern University as part of the FreeMoCap Project

GitHub Events

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Last synced: about 1 year ago

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  • Total Commits: 49
  • Total Committers: 1
  • Avg Commits per committer: 49.0
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  • Avg Commits per committer: 0.0
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aaroncherian a****2@g****m 49

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Last synced: about 1 year ago

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  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
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  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
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  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
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  • Average comments per issue: 0
  • Average comments per pull request: 0
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  • Bot issues: 0
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  • trentwirth (1)
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