hand-tracking-toolkit

Installation
SKILL.md

Hand Tracking Toolkit - Evaluation & Visualization

Overview

Comprehensive toolkit from Meta Facebook Research for evaluating and visualizing 3D hand tracking systems. Provides standardized metrics, visualization tools, and data loaders for the HOT3D dataset. Essential for researchers developing and benchmarking hand tracking algorithms on multi-view egocentric data.

Use this for: Evaluating hand tracking performance, generating evaluation reports, visualizing 3D predictions vs ground truth.

When to Use This Skill

Use when you need to:

  • Evaluate hand tracking algorithms with standard metrics
  • Visualize 3D hand pose predictions and ground truth
  • Benchmark on HOT3D dataset
  • Generate evaluation reports and leaderboards
  • Compare different tracking methods
  • Debug hand tracking predictions

Core Capabilities

Installs
23
Repository
wu-yc/labclaw
GitHub Stars
1.0K
First Seen
Mar 15, 2026
hand-tracking-toolkit — wu-yc/labclaw