Open poynting opened 4 years ago
@poynting I dig in the subject and find this tutorial that can help. https://towardsdatascience.com/how-to-write-python-command-line-interfaces-like-a-pro-f782450caf0d
Hi, I did a rough version of this to process a batch of Altum images. Would be happy to share the code if you think it would be help, although my coding skills are not spectacular. :)
Hi, I did a rough version of this to process a batch of Altum images. Would be happy to share the code if you think it would be help, although my coding skills are not spectacular. :)
I'm working on writing something similar at the moment. It'd be amazingly helpful if you could share your code - if you don't mind :)
I would also be interested in this, if possible! I am working with Altum imagery too and it would be very helpful as I'm not a coding professional either. Cheers :)
I'm happy to check out a PR or gist if anyone has code they would like to share.
Sure, no problems. I will take a look at it to check if it is still running and share :)
The script is uploaded here https://github.com/moDanilevicz/multispectral_img
To run a test you have to use a few flags:
radio_calib_draft.py -i
The code itself can be improved (and organized) a lot, but hope this can help :)
Edit: Suggestions to improve are more than welcome.
@moDanilevicz thanks for linking your code :)
Thanks for working on this all. I have merged @JPI93's code from https://github.com/micasense/imageprocessing/pull/114 into a branch (reconcile-cli-113) and we'll plan to work from there.
Notebooks are nice, but a command-line tool for stacking would be handy
Should, at minimum, take -folder of input images to stack -folder to store the results -explicit path of image to use for alignment -explicit path of image containing a panel -whether or not to generate preview images (e.g. RGB, CIR, etc) -(options) which bands to use for the previews (e.g. 3,2,1 for RedEdge RGB)
Potential additions/improvements: