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freemocap-uwupose
experiments in real-time body tracking by multi-camera triangulation and neural network
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MocapNET
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
you can try my repo on github https://github.com/alexiscatnip/freemocap-uwupose
Also google says that Mocapnet has some sort of blender workflow, which would likely be a valid starting point if you ever stop with the 2d methods.
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