Contributors
About
EdiHeadyTrack is a Python package for measuring head kinematics using markerless head pose detection methods. The current implementation primarily uses the FaceMesh module of MediaPipe's Python API for facial landmark detection alongside OpenCV for handling simple computer vision tasks.
Full documentation for EdiHeadyTrack can be found here.
Technologies
Project is created with:
- Python 3.9.0
Setup
EdiHeadyTrack is available on PyPI! Install using:
pip install EdiHeadyTrack
For further installation instructions, consult the documentation.
Example
An example output from EdiHeadyTrack is shown below. A full worked example detailing how this can be achieved is provided here.
Citation
If you use EdiHeadyTrack in you work, please cite the following publication:
As BibTeX:
Getting Involved
For any suggestions, please create a new issue.
1 maintainer
Metadata
1 maintainer
Release files for EdiHeadyTrack 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| EdiHeadyTrack-0.2.2.tar.gz | 78.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| EdiHeadyTrack-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 157.1 MB
Release files / EdiHeadyTrack-0.2.2.tar.gz
| Download URL | EdiHeadyTrack-0.2.2.tar.gz |
|---|---|
| Size | 78.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.18
|
Release files / EdiHeadyTrack-0.2.2-py3-none-any.whl
| Download URL | EdiHeadyTrack-0.2.2-py3-none-any.whl |
|---|---|
| Size | 78.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.18
|
