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| author | Martin Ashby <martin@martin-laptop.lan> | 2018-05-17 23:10:40 +0100 |
|---|---|---|
| committer | Martin Ashby <martin@martin-laptop.lan> | 2018-05-17 23:10:40 +0100 |
| commit | 042616865221f0eaacfe5105cebdc823f0a4bc2c (patch) | |
| tree | f54ff715d492673a623db36d29804cc2870d6c10 | |
| parent | a49102fc3e2f210236e653d5cf42fa1d1231b30a (diff) | |
| download | unicornpaint-042616865221f0eaacfe5105cebdc823f0a4bc2c.tar.gz unicornpaint-042616865221f0eaacfe5105cebdc823f0a4bc2c.tar.bz2 unicornpaint-042616865221f0eaacfe5105cebdc823f0a4bc2c.tar.xz unicornpaint-042616865221f0eaacfe5105cebdc823f0a4bc2c.zip | |
Added docker build to REAME
| -rw-r--r-- | README.md | 7 |
1 files changed, 7 insertions, 0 deletions
@@ -4,3 +4,10 @@ Allows multiple people to paint at once & updates in real time. To run: `curl "https://raw.githubusercontent.com/MFAshby/unicornpaint/master/download_and_run.sh" | sh` Open your browser to http://<your raspberry IP address>:3001/ + +Alternatively, run with docker: +``` +docker pull mfashby/unicornpaint +docker run --device /dev/spidev0.0:/dev/spidev0.0 --publish 3001:3001 mfashby/unicornpaint +``` +Or use the example docker-compose.yml file
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