Welcome to the Open Media Processing Framework (OpenMPF) Python Component SDK Project!
OpenMPF provides a platform to perform content detection and extraction on bulk multimedia, enabling users to analyze, search, and share information through the extraction of objects, keywords, thumbnails, and other contextual data.
OpenMPF enables users to build configurable media processing pipelines, enabling the rapid development and deployment of analytic algorithms and large-scale media processing applications.
Simplify large-scale media processing and enable the extraction of meaningful content
Apply cutting-edge algorithms such as face detection and object classification
Integrate into your existing environment or use OpenMPF as a standalone application
This repository contains source code for the Open Media Processing Framework (OpenMPF) Python Component SDK, including the API and associated utilities.
In OpenMPF, a component is a plugin that receives jobs (containing media), processes that media, and returns results.
Using this API, detection components can be built to provide:
- Detection (Localizing an object)
- Tracking (Localizing an object across multiple frames)
- Classification (Detecting the type of object and optionally localizing that object)
- Transcription (Detecting speech and transcribing it into text)
- Parent OpenMPF Project
- OpenMPF Core
- Components
- Component APIs:
- OpenMPF Build Tools
- OpenMPF Web Site Source
- OpenMPF Docker
- If not already installed, build and install Python 3.8.
- Install the Python Component API:
pip3 install openmpf-python-component-sdk/detection/api
- (Optional) Install the Python Component Utilities:
pip3 install openmpf-python-component-sdk/detection/component_util
Please read the Python Batch Component API documentation to get started.
For more information about OpenMPF, including documentation, guides, and other material, visit our website.
For a latest snapshot of what tasks are being worked on, what's available to pick up, and where the project stands as a whole, check out our workboard.