vividboarder/docker-rpi-motioneye
2
0
Fork 0
mirror of https://github.com/ViViDboarder/docker-rpi-motioneye.git synced 2024-12-22 06:07:36 +00:00
Code Issues Releases Wiki Activity
Docker image for running motionEye on a Raspberry Pi
4 Commits 1 Branch 0 Tags 29 KiB
Dockerfile 73.4%
Makefile 26.6%
5dab231b78
Go to file
Ian 5dab231b78 Create LICENSE
2016-11-14 17:58:44 -08:00
.dockerignore Initial commit 2016-10-11 23:22:01 +00:00
.gitignore Initial commit 2016-10-11 23:22:01 +00:00
docker-compose.yaml Add Makefile and docker-compose.yaml 2016-11-15 01:03:10 +00:00
Dockerfile Initial commit 2016-10-11 23:22:01 +00:00
LICENSE Create LICENSE 2016-11-14 17:58:44 -08:00
Makefile Add Makefile and docker-compose.yaml 2016-11-15 01:03:10 +00:00
README.md Update README and add running instructions 2016-11-14 17:53:57 -08:00

README.md

docker-rpi-motioneye

Docker image for running motionEye on a Raspberry Pi

motionEye

Here is what the author has to say about motionEye:

motionEye is a web frontend for the motion daemon, written in Python.

Very sucinct! This project is just a Docker container that makes it easy to deploy motionEye on your Raspberry Pi.

Getting Docker on your Raspberry Pi

I recommend checking out Hypriot and their Getting Started guide

Running

This image is hosted on Docker Hub tagged as vividboarder/rpi-motioneye, so you can feel free to use the docker-compose.yaml and change build: . to image: vividboarder/rpi-motioneye. After that, docker-compose up should get you started.

Alternately, you can compile the image yourself by cloning this repo and using docker-compose

docker-compose up

If you want a little more control, you can use any of the make targets:

make build  # builds a new image
make run    # builds and runs container using same parameters as compose
make shell  # builds and runs an interractive container
make tag    # tags image to be pushed to docker hub
make push   # pushes image to docker hub

Issues?

Feel free to report any issues you're having getting this to run on Github