timctho/VNect-tensorflow
A TensorFlow implementation of the VNect SIGGRAPH 2017 paper for real-time 3D human pose estimation from a single RGB camera.
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This project implements the VNect neural network architecture in TensorFlow to estimate 3D human joint positions from monocular RGB input. The model processes 2D images through a deep learning pipeline to regress 3D skeletal coordinates in real time. It includes demo scripts for running inference with optional OpenGL rendering of the estimated 3D pose.
Frequently asked
- What is timctho/VNect-tensorflow?
- A TensorFlow implementation of the VNect SIGGRAPH 2017 paper for real-time 3D human pose estimation from a single RGB camera.
- Is VNect-tensorflow open source?
- Yes — timctho/VNect-tensorflow is open source, released under the Apache-2.0 license.
- What language is VNect-tensorflow written in?
- timctho/VNect-tensorflow is primarily written in Python.
- How popular is VNect-tensorflow?
- timctho/VNect-tensorflow has 473 stars on GitHub.
- Where can I find VNect-tensorflow?
- timctho/VNect-tensorflow is on GitHub at https://github.com/timctho/VNect-tensorflow.