MocapNET

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Very Low Activity

Analyzed about 22 hours ago. based on code collected about 22 hours ago.

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.

In a Nutshell, MocapNET...

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has had 544 commits made by 2 contributors
representing 33,288 lines of code
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is mostly written in C++
with a low number of source code comments
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has a well established, mature codebase
maintained by one developer
with stable Y-O-Y commits
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took an estimated 8 years of effort (COCOMO model)
starting with its first commit in July, 2019
ending with its most recent commit 4 months ago

Quick Reference

Project Links:

Homepage
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Code Locations:

https://github.com/FORTH-ModelBa...

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Managers:

AmmarkoV

This Project has No vulnerabilities Reported Against it

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