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MocapNET

Real-time 3D Human Pose Estimation with Simplified Neural Networks

Product DescriptionMocapNET enables real-time 3D pose estimation from RGB images using simplified neural networks for improved accuracy and performance. Features include a unique 2D pose representation, an orientation classifier, and an inverse kinematics solver, enhancing occlusion handling and limb size adjustments. The Python codebase allows integration with tools like Blender and supports one-click Google Colab deployment. Recent updates introduce 3D gaze and BVH facial configurations, maintaining innovation. MocapNET supports dataset generation and personalized automotive 3D body tracking applications, making it a valuable tool for researchers and developers.
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