MocapNET is a computer vision system that estimates 3D human pose in real-time by converting 2D body joint estimations from single RGB camera images into Bio Vision Hierarchy (BVH) animation format. The method uses a neural network trained with TensorFlow and employs a novel 2D pose representation along with body orientation classifiers to achieve accurate 3D pose estimation from webcam or video input.