bones-studio

bones-studio / seed-viewer

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A web application for browsing and viewing the BONES-SEED motion capture dataset

19
1
100% credibility
Found Mar 18, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A browser-based application for viewing and interacting with the BONES-SEED motion capture dataset by rendering animations on 3D human and robot models.

How It Works

1
🕵️ Discover the viewer

You hear about a fun web tool to watch real human and robot dances from motion capture data on 3D characters.

2
📥 Get the motion files

Download the BONES-SEED dataset full of captured movements like walks, jumps, and dances.

3
📂 Point to your files

Simply tell the tool where you put the motion folder so it knows where to look.

4
🚀 Launch with one click

Hit the easy start button and watch the viewer open up in your web browser.

5
🔍 Search and pick a move

Type a word like 'dance' or 'run' to find clips, then click one to load it.

6
▶️ Watch it move

Press play and see the 3D human or robot body bring the motion to life right in your browser.

7
🎛️ Switch views and tweak

Swap between human or robot models, adjust lights, or scrub the timeline for the best angle.

😊 Explore endlessly

Now you have a personal motion library to enjoy, share clips, and discover new movements anytime.

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Star Growth

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AI-Generated Review

What is seed-viewer?

Seed-viewer is a Dockerized web application for browsing the BONES-SEED motion capture dataset, rendering BVH or CSV animations on SOMA human body models or Unitree G1 robots via Three.js in the browser. Developers point DATA_PATH to extracted dataset files, run `docker compose up`, and get a searchable file browser, metadata panels, timeline playback, skeleton overlays, and temporal labels at localhost:8666. Built in TypeScript with Python/FastAPI backend, it solves quick inspection of robotics-ready mocap without heavy desktop tools.

Why is it gaining traction?

Unlike generic Three.js viewers or command-line parsers, it offers dual-model retargeting (SOMA BVH, G1 MuJoCo CSV), NVIDIA Kimodo labels, and pro features like lighting tweaks, env maps, and projection toggles in a clean web interface akin to github web ide. The one-command Docker setup and local dev proxy make it dead simple for dataset triage, standing out in humanoid motion workflows over game seed viewers like minecraft seed viewer github or factorio tools.

Who should use this?

Robotics engineers validating retargeted motions for sim policies, AI researchers eyeballing BONES-SEED clips pre-training, or web application developers building motion prototypes. Ideal for teams using SOMA-X or ProtoMotions needing a lightweight seed viewer map equivalent for humanoid data.

Verdict

Grab it for BONES-SEED workflows—dockerized, Playwright-tested, and Apache 2.0—but 19 stars and 1.0% credibility signal early maturity; docs are solid yet niche. Strong starter for web application development in robotics, less so for broad mocap needs.

(198 words)

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