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After realizing that #4 was probably too ambitious, I attempted to dockerize Kaptive-Web so that it can easily be run locally or on a headless server. The implementation at https://github.com/simone-pignotti/Kaptive-Web is very basic but works fine, apart from one detail: I get this error from the png trim command.
convert-im6.q16: geometry does not contain image `/web2py/applications/kaptive/uploads/8e977f9a-f3f8-459e-9c05-abba71d53637/locus_image/test.png' @ warning/attribute.c/GetImageBoundingBox/247.
The png is not loaded in the web interface (I have also tried to comment the trim command, but it can't even load the original png which should have the same filename). I have also tried adding +repage after -trim as suggested in the imagemagick's docs, without success. Finally, I have tried to use the python2.7-buster base docker image (which comes with imagemagick installed) to check if it was a dependency issue, but that doesn't work either.
Let me know if you have already encountered this issue and know how to solve it. If it wasn't for this, I'd say the non-production docker image is ready! If you are interested in providing this convenient installation method to end users, I can create a pull request as soon as this issue has been solved.
Thanks
Simone
The text was updated successfully, but these errors were encountered:
Hi,
After realizing that #4 was probably too ambitious, I attempted to dockerize Kaptive-Web so that it can easily be run locally or on a headless server. The implementation at https://github.com/simone-pignotti/Kaptive-Web is very basic but works fine, apart from one detail: I get this error from the png trim command.
The png is not loaded in the web interface (I have also tried to comment the trim command, but it can't even load the original png which should have the same filename). I have also tried adding
+repage
after-trim
as suggested in the imagemagick's docs, without success. Finally, I have tried to use thepython2.7-buster
base docker image (which comes with imagemagick installed) to check if it was a dependency issue, but that doesn't work either.Let me know if you have already encountered this issue and know how to solve it. If it wasn't for this, I'd say the non-production docker image is ready! If you are interested in providing this convenient installation method to end users, I can create a pull request as soon as this issue has been solved.
Thanks
Simone
The text was updated successfully, but these errors were encountered: