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.