event-vision-library 0.0.0a0

Event Vision Library

Event Vision Library

Features

• Python 3.7, 3.8, 3.9, 3.10
• Pure-python library

Algorithms

• Have different off-the-shelf methods, ready to use:
  • Optical Flow estimation
  • Image reconstruction
  • Ego-motion estimation
  • more to come.
• C++ implementation and extension for faster execution (TODO)

Data

• Support different data types (.text, .raw, .hdf5, .npy, .aedat) for various file encoding of event data
• ROS bag files (optional, based on ROS installation)
• Support multiple existing dataset (e.g., ECD, MVSEC, DSEC, etc.)
• Support iterator-based loading and also block-based (random access) loading.

Log and Vsualization

• Various visualization for 2D/3D representation of events
• Useful logging

Requirements

• TODO

Installation

You can install Event Vision Library via pip from PyPI:

$ pip install event-vision-library

Usage

TBD

Contributing

Contributions are very welcome. To learn more, see the Contributor Guide.

License

Distributed under the terms of the MIT license, Event Vision Library is free and open source software.

Issues

If you encounter any problems, please file an issue along with a detailed description.

Acknowledgement

This project was generated from Hypermodern Python Cookiecutter template.