Event Vision Library
Installation
You can install Event Vision Library via pip from PyPI:
$ pip install event-vision-library
# you can now `import evlib`
Usage
Please see our examples and documentation.
Features
- Python 3.8, 3.9, 3.10, 3.11, 3.12
- Pure-python library
- Numpy and Torch compatibility.
- 🚧 This library is under construction and currently alpha version. The APIs may change significantly. Contributions and discussions are welcomed! 🚧
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.
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)
Log and Vsualization
- [✅] Various visualization for 2D/3D representation of events
- Useful logging
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.
Metadata
Release files for event-vision-library 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| event_vision_library-0.0.6.tar.gz | 102.0 kB | With provenance | Details for event_vision_library-0.0.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| event_vision_library-0.0.6-py3-none-any.whl | Python 3 | none | any | Details for event_vision_library-0.0.6-py3-none-any.whl |
Total release size: 225.6 kB
Release files / event_vision_library-0.0.6.tar.gz
| Download URL | event_vision_library-0.0.6.tar.gz |
|---|---|
| Size | 102.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
47756b517cb58098b67df2484ed4407875171e6fadfc529b399f61ad28e0450b
|
|
BLAKE2b-256 checksum How to use checksums |
367f29cc9ee8c69be368d8640820be73cd2976ddf812078a4dfbd41316b9b696
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 27, 2026.
Transparency logRelease files / event_vision_library-0.0.6-py3-none-any.whl
| Download URL | event_vision_library-0.0.6-py3-none-any.whl |
|---|---|
| Size | 123.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
027a9ab89d31282bf1f69b812edbdc6e3a99003d0a5ced48e68210c94ef095de
|
|
BLAKE2b-256 checksum How to use checksums |
83d322b73ba0d864472e75638c585e821c241d48688287f05a8c8024f4802d64
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 27, 2026.
Transparency logSecurity for event-vision-library 0.0.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for event_vision_library-0.0.6.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 27, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.