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Simplified usage with Docker #4
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Thanks for opening your first issue here! 🎉 |
Sure thing this would be nice to have. If you get around it open a PR and I will gladly merge it 😊 |
ok, I got it running natively - but it was quite difficult. There was no requires.txt but a METADATA-file. now, image_match fails with the connection to Elasticsearch and I don't know how to fix that (it was using the wrong hostname). After more than 6 invested hours to get it working, I'm quitting now haha! Your help would be highly appreciated. I would also consider buying you a pack of beers (or couple of coffees) if you provide a Docker container on Docker-Hub that works out of the box. Anyways - cool stuff you developed here! It seems very useful to me. |
Yeah I'm sorry it's so difficult to set up. Part of that is also due to image-match beeing outdated. I will try to getto this on the weekend. Glad you like it! :) |
Hey @qdrop17 , just a little heads up: |
@qdrop17 fyi, I have finished docker support. I still need to write some documentation for it in the README but if you understand how docker works and docker-compose have a look 🤓 |
Very cool, thank you so much! It actually works flawlessly on a generic Ubuntu machine. But it's not working on my DS718+ NAS. Maybe a broken Docker installation or incompatibilities with the CPU. The py-image-dedup container is not writing any logs on this NAS. Thank you very much for your efforts anyway! |
Hi there.
This is more kind of a feature request then it is an issue. It would be great to have that entire solution in a self-contained Docker image. Both DB and application. This would make the usage far easier.
For instance one could directly use it on Synology-NASes.
Thanks for considering. If I have time, I might try to setup something myself.
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