Technical concept for development on Windows

+'s: high performance, native code. All consitutent technical challenges solved (video input, 3D body tracking, large scale particle simulation). Familiar platform for development.

-'s: custom body tracking hardware required, PC required, installation more challenging as a result, remote support more challenging, availabilty of Azure Kinect, challenges running Kinect V1 or V2 UK versions in Netherlands

Software:

• openFrameworks
• https://github.com/prisonerjohn/ofxAzureKinect for interfacing with MS Azure Kinect
• https://github.com/vanderlin/ofxBox2d for physics simulation
• https://github.com/CMU-Perceptual-Computing-Lab/openpose for person tracking with generic web cam?

Hardware:

• Generic High Performance PC, spec TBC
• https://www.microsoft.com/en-gb/d/azure-kinect-dk/8pp5vxmd9nhq?activetab=pivot%3aoverviewtab Azure Kinect Developer Kit or Kinect V2 or Kinect V1, which JGL already has, or generic webcam:
• Logitech Brio Stream Webcam, Ultra HD 4K Streaming Edition

References:

• https://learnopencv.com/deep-learning-based-human-pose-estimation-using-opencv-cpp-python/ - pure openCV pose detection
• https://github.com/Geekrick88/ofxCaffe - can use the model above?
• https://github.com/Qengineering/TensorFlow_Lite_Pose_RPi_32-bits 5fps on RPi! Also on the Jetson: https://github.com/Qengineering/TensorFlow_Lite_Pose_Jetson-Nano
• https://github.com/fusefactory/ofxFastParticleSystem - particle addon
• https://github.com/armadillu/ofxSceneManager - fadeable scene transitions
• https://ofxaddons.com/categories - directory of openFrameworks addons
• https://github.com/zkmkarlsruhe/ofxTensorFlow2 - for using Tensorflow (Bodypix and Posenet?) on C++/oF