|ViViDboarder 59c972bc14 Add cross-build||1 year ago|
|.dockerignore||2 years ago|
|.gitignore||2 years ago|
|Dockerfile||1 year ago|
|LICENSE||2 years ago|
|Makefile||2 years ago|
|README.md||2 years ago|
|docker-compose.yaml||2 years ago|
Docker image for running motionEye on a Raspberry Pi
Here is what the author has to say about motionEye:
motionEye is a web frontend for the motion daemon, written in Python.
Very succinct! This project is just a Docker container that makes it easy to deploy motionEye on your Raspberry Pi.
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
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
Feel free to report any issues you’re having getting this to run on Github