Nvidia NVENC/CUDA/CUVID optimized image for Motioneye
50K+
motionEye is a web-based frontend for (motion)[https://motion-project.github.io]. Check out the (wiki)[https://github.com/ccrisan/motioneye/wiki] for more details. Changelog is available on the (releases page)[https://github.com/ccrisan/motioneye/releases>].
from (GitHub)[https://github.com/ccrisan/motioneye]
This version was built to improve support for Nvidia CUDA hardware En-/Decoding on supported hardware, but should work without.
Bases on FFMpeg image by (jrottenberg/ffmpeg)[https://hub.docker.com/r/jrottenberg/ffmpeg] which provides excellent support for Nvidia based hardware in Docker.
Installs most recent Motion and Motioneye software binaries from respective release channels, and optimises for Docker operation.
version: "2.4"
services:
motioneye:
image: stixes/motioneye:latest
restart: always
runtime: nvidia
environment:
NVIDIA_VISIBLE_DEVICES: all
volumes:
- ./data:/var/lib/motioneye
- ./config:/etc/motioneye
tmpfs:
- /tmp
ports:
- 8765:8765
Access and configure on http://:8765/
Content type
Image
Digest
Size
947.8 MB
Last updated
over 5 years ago
docker pull stixes/motioneye-nvidia