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Add accelerated_base Docker image with Intel QuickSync and NVIDIA CUDA support

- Ubuntu 22.04 base with Python 3.11
- Intel Media Driver and VAAPI for QuickSync hardware acceleration
- NVIDIA CUDA support via container toolkit
- FFmpeg with hardware codec support
- OpenCV, PyTorch, and common ML/CV packages
- Non-root user setup for security
- Provides comprehensive base for ML/CV applications with hardware acceleration

2025-09-21 14:42:21 +12:00

1.7 KiB

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Generic Docker Images

This repository contains reusable Docker base images for various purposes.

Available Images

debian-curl

Debian with curl installed.

accelerated_base

A comprehensive base image with hardware acceleration support for ML/CV applications.

Features:

Ubuntu 22.04 LTS base
Python 3.11 with pip
Intel QuickSync / VAAPI support for hardware video acceleration
NVIDIA CUDA support (when NVIDIA Container Toolkit is available)
FFmpeg with hardware acceleration codecs
OpenCV with Python bindings
PyTorch (CPU by default, GPU when NVIDIA runtime is available)
Common ML/CV Python packages (numpy, scipy, pandas, matplotlib, etc.)
Video and image codec libraries
Non-root user setup for security

Usage:

FROM gitea.jde.nz/public/accelerated_base:latest

# Your application-specific setup
COPY your_app.py /app/
CMD ["python", "/app/your_app.py"]

Hardware Acceleration:

Intel QuickSync: Automatically available when /dev/dri is mounted
NVIDIA GPU: Automatically available when using --runtime=nvidia or --gpus all

Environment Variables:

LIBVA_DRIVER_NAME=iHD - Intel Media Driver for VAAPI
FFMPEG_HWACCEL_PRIORITY="vaapi,cuda,auto" - Hardware acceleration preference
NVIDIA_VISIBLE_DEVICES=all - NVIDIA GPU visibility
NVIDIA_DRIVER_CAPABILITIES=compute,utility,video - NVIDIA capabilities

Size: ~2.5GB (includes Python, ML libraries, and video codecs)

Building

Images are automatically built and published when pushed to this repository.

Registry

Images are available at:

gitea.jde.nz/public/<image_name>:latest
gitea.jde.nz/public/<image_name>:latest-<arch> (architecture-specific)

1.7 KiB Raw Blame History