Metadata-Version: 2.5
Name: vedetta
Version: 0.7.18
Summary: Vedetta NVR — lightweight open-source network video recorder with object detection
Project-URL: Homepage, https://github.com/rvben/vedetta
Project-URL: Repository, https://github.com/rvben/vedetta
Project-URL: Issues, https://github.com/rvben/vedetta/issues
Author-email: Ruben Jongejan <ruben.jongejan@gmail.com>
License-Expression: Apache-2.0
Keywords: camera,nvr,object-detection,rtsp,security,surveillance,yolo
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Home Automation
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: System :: Monitoring
Requires-Python: >=3.9
Description-Content-Type: text/markdown

# Vedetta

Vedetta is a local-first network video recorder with recording, review,
multi-protocol live video, and real-time object detection. The application is
written in Go and does not require Python at runtime.

## Package status

This PyPI project is reserved for Vedetta. It does not currently install the
application. Use a release binary, Docker image, or source build instead:

```sh
# Docker
docker run -d --name vedetta --network host \
  -v vedetta-config:/config -v vedetta-data:/data \
  ghcr.io/rvben/vedetta:latest

# Build from source
git clone https://github.com/rvben/vedetta.git
cd vedetta && make build
```

Hardware-accelerated H.264 decoding is available through VideoToolbox on macOS
and through opt-in VA-API/NVDEC builds on Linux. Object inference currently
runs on CPU.

See the [GitHub repository](https://github.com/rvben/vedetta) for releases,
compatibility details, and documentation.
