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

README.md

@@ -1,3 +1,56 @@
-# debian-curl
+# Generic Docker Images
 
-Debian with Curl
+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:**
+```dockerfile
+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)