openfilter 0.1.24

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OpenFilter

OpenFilter is an universal abstraction for building and running vision workloads in modular image/video processing pipelines. It simplifies communication between components (called filters) and supports synchronization, side-channel paths, metrics, and load balancing — all in pure Python.

Jump to:

• Installation
• Quick Start
• Examples
• Documentation
• Contributing
• License

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Features

• 🔁 Easily pluggable filter components
• 🧪 Develop and test filters locally with Python
• ⚡ High-throughput synchronized pipelines
• 📡 MQTT Bridge/REST Connect visualization and data publishing
• 🧵 Parallel processing via load-balanced filter branches
• 📊 Built-in telemetry and metrics streaming (coming soon)

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User Consent & Privacy

OpenFilter may collect usage metrics and telemetry data to help improve the project. We respect user privacy and provide multiple ways to manage consent:

Opt out of tracking:

• Set the DO_NOT_TRACK environment variable:

  export DO_NOT_TRACK=true
  

• Or use project-specific configuration options if available in your setup

Users can easily opt in or out through environment variables or configuration settings. Please refer to your project's specific configuration documentation for additional privacy options.

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Installation

Install OpenFilter with all utility filter dependencies:

pip install openfilter[all]

Install directly from GitHub:

pip install git+ssh://[e-mail]/PlainsightAI/openfilter.git@main#egg=openfilter[all]

To install a specific version:

pip install git+ssh://[e-mail]/PlainsightAI/openfilter.git@v1.3.17#egg=openfilter[all]

Editable install for development:

git clone [e-mail]:PlainsightAI/openfilter.git
cd openfilter
make install

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Quick Start

Here’s a minimal example that plays a video and visualizes it in the browser:

from openfilter.filter_runtime.filter import Filter
from openfilter.filter_runtime.filters.video_in import VideoIn
from openfilter.filter_runtime.filters.webvis import Webvis

if __name__ == '__main__':
    Filter.run_multi([
        (VideoIn, dict(sources='file://video.mp4', outputs='tcp://*')),
        (Webvis,  dict(sources='tcp://localhost')),
    ])

Run it with:

python script.py

Then open http://localhost:8000 to see your video stream.

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Alternatively, simply use the CLI:

openfilter run - VideoIn --sources 'file://video.mp4!loop' - Webvis

Note: Ensure that a video.mp4 file exists. A simple example is available at examples/hello-world/video.mp4.

Examples

Explore real-world examples covering:

• Frame-by-frame video processing
• Writing frames to JPEG or output video
• Dual-video pipelines with multiple topics
• Load balancing using multiple filter processes
• Sending metrics to MQTT Bridge
• Ephemeral side-channel processing
• S3 integration for cloud video processing
• Fully declarative + class-based configuration

➡️ See docs/overview.md for all examples.

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Documentation

• 📘 Overview

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Releasing

OpenFilter publishes to PyPI (Python package) and Docker Hub (8 built-in filter images) via a single GitHub Actions workflow.

How to release a new version

1. Update VERSION with the new version (e.g. v0.1.22)
2. Add a matching entry at the top of RELEASE.md with the same version and a changelog
3. Commit both changes and merge to main
4. Go to GitHub Actions > "Create Release" > "Run workflow" on the main branch

The workflow runs automatically from there:

• Runs unit tests across Python 3.10, 3.11, 3.12, 3.13
• Validates that VERSION matches RELEASE.md
• Creates a git tag and GitHub Release
• Builds and publishes the Python wheel to PyPI
• Builds and pushes 8 Docker images to Docker Hub (multi-arch: amd64 + arm64)

Docker Hub images

Each built-in filter has a corresponding Docker image at plainsightai/openfilter-<name>:

Image	Built-in filter	Extra
plainsightai/openfilter-video-in	VideoIn	video_in
plainsightai/openfilter-video-out	VideoOut	video_out
plainsightai/openfilter-image-in	ImageIn	image_in
plainsightai/openfilter-image-out	ImageOut	image_out
plainsightai/openfilter-mqtt-out	MQTTOut	mqtt_out
plainsightai/openfilter-recorder	Recorder	recorder
plainsightai/openfilter-rest	REST	rest
plainsightai/openfilter-webvis	Webvis	webvis

Images are tagged with both the version (e.g. 0.1.20) and latest. They install openfilter[extra]=={version} from PyPI, so the PyPI publish must succeed before Docker images are built.

Using a published image

docker run -e FILTER_SOURCES="file:///video.mp4!loop" \
           -e FILTER_OUTPUTS="tcp://*:5550" \
           -v ./video.mp4:/video.mp4:ro \
           plainsightai/openfilter-video-in:latest

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Contributing

We welcome contributions of all kinds — new filters, bugfixes, or documentation improvements!

Please see the contributing guide for details on how to get started.

If you encounter issues, open an issue.

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License

Apache License 2.0. See LICENSE for full text.