pyptv 0.4.1

Python GUI for the OpenPTV library `liboptv`

PyPTV

Python GUI for the OpenPTV library liboptv

PyPTV or otherwise called OpenPTV-Python is the Python GUI for OpenPTV. It is based on traits, traitsui, chaco, enable and pyface from Enthought Inc. and provides an UI interface the OpenPTV library that includes all the core algorithms (correspondence, tracking, calibration, etc.) written in ANSI C and has Python bindings using Cython.

Both PyPTV and the OpenPTV library are in the development phase and continuously refactored. Please follow the development on the community mailing list:

[e-mail]

Documentation:

👉 View full documentation at https://alexlib.github.io/pyptv

http://openptv-python.readthedocs.io

Installation instructions

Short version:

pip install numpy
python -m pip install pyptv --index-url https://pypi.fury.io/pyptv --extra-index-url https://pypi.org/simple

Detailed instructions for various platforms are in our documentation: https://openptv-python.readthedocs.io/en/latest/installation_instruction.html

Follow the instructions in our screencasts and tutorials:

• Tutorial 1: http://youtu.be/S2fY5WFsFwo

• Tutorial 2: http://www.youtube.com/watch?v=_JxFxwVDSt0

• Tutorial 3: http://www.youtube.com/watch?v=z1eqFL5JIJc

Ask for help on our mailing list:

[e-mail]

Working with plugins

Plugins is a system of extensions to PyPTV without the need to change the GUI

1. copy the sequence_plugins.txt and tracking_plugins.txt to the working folder
2. copy the plugins/ directory to the working folder
3. modify the code so it performs instead of the default sequence or default tracker
4. Open the GUI and Plugins -> Choose , then run the rest: Init -> Sequence

Note, the specific branch plugin_remback requires installation of the pip install rembg[cpu] or pip install rembg[gpu]

Developers:

Version Management:

• Bump version: python bump_version.py --patch

Publishing to PyPI:

• See DEPLOYMENT.md for comprehensive deployment instructions using GitHub Actions and trusted publishing

Legacy Manual Publishing:

pip install build
python -m build
pip install dist/pyptv-*.whl  # Install the built wheel
pip install twine
python -m twine upload dist/*

Compatibility Notes

NumPy Compatibility

• Minimum supported NumPy version: 1.23.5
• Tested with NumPy arrays in both float64 and uint8 formats
• Array operations maintained for image processing and coordinate transformations

OpenPTV (optv) Compatibility

• Compatible with optv versions 0.2.9 through 0.3.0
• Core functionality tested with latest optv release
• Calibration and tracking functions verified

Development Setup

For development work with latest NumPy:

conda create -n pyptv python=3.11
conda activate pyptv
conda install numpy>=1.23.5 optv>=0.3.0
pip install -e .