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Project Summary

We present MocapNET, an ensemble of SNN encoders that estimates the 3D human body pose based on 2D joint estimations extracted from monocular RGB images. MocapNET provides BVH file output which can be rendered in real-time or imported without any additional processing in most popular 3D animation software. The proposed architecture achieves 3D human pose estimations at state of the art rates of 400Hz using only CPU processing.

Tags

3d 3d-pose-estimation bvh computer-vision human_machine_interfaces linux motioncapture neuralnetworks opencv pose-estimation tensorflow webcam

In a Nutshell, MocapNET...

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Languages

C++
82%
Python
9%
shell script
5%
2 Other
4%

30 Day Summary

Feb 26 2024 — Mar 27 2024

12 Month Summary

Mar 27 2023 — Mar 27 2024
  • 16 Commits
    Down -22 (57%) from previous 12 months
  • 1 Contributors
    Down 0 (0%) from previous 12 months

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