Multi-person, multi-camera 3D human pose and mesh visualization tool built using OpenGL (via ModernGL). As used in NLF and MeTRAbs visualizations.

This repo does not contain pose estimation code, only the visualization part.

import poseviz
import deltacamera

camera = deltacamera.Camera(...)

with poseviz.PoseViz(...) as viz:
    for frame in frames:
        bounding_boxes, poses3d = run_pose_estimation_model(frame)
        viz.update(frame=frame, boxes=bounding_boxes, poses=poses3d, camera=camera)

See also demo.py.

The main feature of this tool is that the graphical event loop is hidden from the library user. We want to write code in terms of the prediction loop of the human pose estimator, not from the point of view of the visualizer tool.

Behind the scenes, this is achieved through forking a dedicated visualization process and passing new scene information via multiprocessing queues.

pip install poseviz

Then run demo.py to test if installation was successful.