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f2hex/armhf-motioneye

By f2hex

•Updated over 10 years ago

Docker image for running an opitmized version of motioneye running on ARM hardfloat architecture

Image
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1.2K

f2hex/armhf-motioneye repository overview

This is a size optimized image for running motioneye⁠ - is a web-based frontend for motion.The image is created using a process that builds up the executable from the sources taken from the various repositories (from Github). It is built starting from the f2hex/armhf-motion⁠ image and it includes the following components:

  • an ARM based build of python 2.7 based on Egenix PyRun⁠
  • the following python packages (needed by motioneye): jinja2, tornado, pillow, pycurl
  • motioneye itself

The repository with the builder script is here⁠. The image contains only the very minimal needed files, also all the python source files have been removed (just 78MB) and uses as base image f2hex/armhf-motion⁠. This is the recommended way to start the Container:

#!/bin/bash
VOL_CONFIG="/mnt/survpad/test/me/config:/etc/motioneye"
VOL_RUN="/mnt/survpad/test/me/run:/var/run/motioneye"
VOL_LOG="/mnt/survpad/test/me/log:/var/log/motioneye"
VOL_MEDIA="/mnt/survpad/test/me/media:/var/lib/motioneye"
VOL_TZFIX="/etc/localtime:/etc/localtime:ro"
docker run \
  -d \
  -h odin-motioneye \
  -v $VOL_CONFIG \
  -v $VOL_RUN \
  -v $VOL_MEDIA \
  -v $VOL_LOG \
  -v $VOL_TZFIX \
  -p 9191:8765 \
  f2hex/armhf-motioneye:latest

Tag summary

Content type

Image

Digest

Size

39.7 MB

Last updated

over 10 years ago

docker pull f2hex/armhf-motioneye