3D scene on a monocular video
Project description
HITrack
HITrack or Human Inertial Tracking is a pipeline consisting of 3 human recognition state-of-the-art neural networks (yolov7, VitPose and MHFormer) linked together by specially designed Inertial Tracking to produce a 3D scene on a monocular image.
Quick start
pip install HITrack
from HITrack import HITrack
hit = HITrack('videos/dance.mp4')
# 2D keypoints + tracking
hit.compute_2d()
# merging recovered tracks and broken tracks manually
hit.recover_2d({1:6, 2:5, 3:4})
# 2D to 3D by tracking
hit.compute_3d()
# 3D to scene
hit.compute_scene()
# visualising any of these steps
hit.visualize('3D_scene', compress=True, original_sound=True)
License
This project is licensed under the terms of the MIT license.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
HITrack-1.0.1.tar.gz
(42.2 kB
view hashes)
Built Distribution
HITrack-1.0.1-py3-none-any.whl
(55.2 kB
view hashes)