Real-time hand pose visualization using mock hand pose estimation

[jfResearchEng]

🚀 Feature

Hand tracking enables the use of hands as an input method for AR/VR applications. When using hands as input modality, it delivers a new sense of presence, enhances social engagement, and delivers more natural interactions with fully tracked hands and articulated fingers.

MediaPipe can be used for real-time hand tracking. LabGraph can be used to record the data captured from a webcam. It could also be extended to other downstream applications.

This task is to create mock hand pose data and visualize it with real-time hand. This task needs the completion of a previous task: #90

Additional context

1. MediaPipe can be found [here] (https://google.github.io/mediapipe/solutions/hands)
2. The code should be added at folder is https://github.com/facebookresearch/labgraph/tree/main/devices/webcam/
3. Create setup.py and README.md, where example can be found at: https://github.com/facebookresearch/labgraph/tree/main/extensions/labgraph_viz
4. Add github action support, reference: https://github.com/facebookresearch/labgraph/actions/workflows/main.yml
5. Add proper license header.