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Patient Pose Detection

2022

The main goal of this project is to predict patient's pose using deep learning, and integrating it into our Unity3D pipeline and Swift XR application. To achieve this, I employed 2D CNN and PointNet-based architectures. Models are further integrated into our solution using Barracuda, Onnxruntime and CoreML.

Repository
Repository 1
Repository
Repository 2
Unity Integration
Onnxruntime
Unity Integration
Barracuda
Platform
Ubuntu / Unity / CoreML
Stack
Python, Tensorflow, Keras, Trimesh, Colab, PyTorch