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(yolo='yolov7x', vitpose='b')
# merging recovered tracks and broken tracks manually
hit.recover_2d({2:4, 3:5})
# 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.
1 maintainer
Metadata
1 maintainer
Release files for HITrack 1.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| HITrack-1.0.4.tar.gz | 479.6 kB | Without provenance | Details for HITrack-1.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| HITrack-1.0.4-py3-none-any.whl | Python 3 | none | any | Details for HITrack-1.0.4-py3-none-any.whl |
Total release size: 977.5 kB
Release files / HITrack-1.0.4.tar.gz
| Download URL | HITrack-1.0.4.tar.gz |
|---|---|
| Size | 479.6 kB |
| Tags | Source |
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Release files / HITrack-1.0.4-py3-none-any.whl
| Download URL | HITrack-1.0.4-py3-none-any.whl |
|---|---|
| Size | 497.9 kB |
| Tags | Python 3 |
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twine/4.0.2 CPython/3.9.13
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Security for HITrack 1.0.4
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