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facebookresearch / labgraph

LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications. It is particularly well-suited to real-time neuroscience, physiology and psychology experiments.

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Real-time hand tracking using WebCam

jfResearchEng opened this issue · comments

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🚀 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 use MediaPipe for real-time hand tracking and labgraph for data logging (hdf5 format).

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.