Skip to main content

Automatic, markerless measurement of head kinematics using from video

Project description

Logo

Version License Build Status - GitHub codecov

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. Example image

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.

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

EdiHeadyTrack-0.2.2.tar.gz (78.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

EdiHeadyTrack-0.2.2-py3-none-any.whl (78.6 MB view details)

Uploaded Python 3

File details

Details for the file EdiHeadyTrack-0.2.2.tar.gz.

File metadata

  • Download URL: EdiHeadyTrack-0.2.2.tar.gz
  • Upload date:
  • Size: 78.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for EdiHeadyTrack-0.2.2.tar.gz
Algorithm Hash digest
SHA256 74efeb013f4bac309e8b00216c47ae2e5fc73a5f3fd959f8de2ce892ffda2433
MD5 14bc0a9b21606917d7df4c6c592518e3
BLAKE2b-256 cfc5d8dc57fb901e1d0fc4bd371afb0a251cdab14188e0d891723ef808d8623b

See more details on using hashes here.

File details

Details for the file EdiHeadyTrack-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: EdiHeadyTrack-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 78.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for EdiHeadyTrack-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 f24922b819203a69d302c5fa1aff784a8a0a2d47d0137c38e5d83e2938ec4b25
MD5 32be4ed010c81f3742c8411e2387536c
BLAKE2b-256 e55aeb09af5ffe455887857cc80b7d283da717a3ff336a1c194ebbbdd5569067

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page