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Building robots is hard. If we want to live in a future where there are robots everywhere, robots need to be a lot easier to build.

Getting neural networks to run with low-latency on video streams is notoriously difficult. dabox is a machine learning-friendly, easy-to-install Python application with several features that every robot needs.

Features available out of "dabox"

• Low-latency inference with FFmpeg, ZMQ, and ONNX Runtime
• Web-based 3D visualization by viser
• Real-time RTSP, LL-HLS, WebRTC streams by MediaMTX
• Automatic camera discovery and multi-camera support
• Supported on Mac, Linux, and x86+dGPU systems

Installation

Create environment

dabox requires python >= 3.10. We recommend using conda to manage dependencies. Make sure to install Miniconda before proceeding.

conda create --name dabox -y python=3.10 && conda activate dabox

Install from pypi

pip install dabox-project

OR install from dabox from source.

git clone https://github.com/jefequien/dabox.git && cd dabox
pip install -e .'[dev]'

Usage

Start DABOX!

dabox-up

# Visit http://localhost:8080
# Ctrl+C to stop server

# Sometimes DABOX does not stop cleanly. 
# Run this command in another window to kill it.
dabox-kill