Comments (4)
Hi!
This is currently not implemented, but it should be feasible to write out all transformations and then run the workflow on another dataset with exactly the same transformations. I can have a look at this in the coming days.
Cheers,
Julian
from amst.
Hi Julian,
That would be really helpful, thanks very much for getting back to me!
Best,
Jillian
from amst.
I implemented that AMST saves all transformations when run initially. Then as a second step you can now run these transformations on a second dataset. Only requirement: both datasets need to be the same shape and pixel size.
You find it in the branch pre_align_workflow, it is not added to the master branch yet.
Now you can run the amst_align()
function as before (Note: you have to compute your dataset again, the earlier version did not store the required transformations). Afterwards run the apply_amst_transformations()
function for the other dataset. Make sure that the "target_folder" is the same folder for both runs (it will create subfolders for the respective results).
For a bit more information have a look at the scripts folder and, in particular, here:
https://github.com/jhennies/amst/blob/pre_align_workflow/scripts/run_amst.py
and here:
https://github.com/jhennies/amst/blob/pre_align_workflow/scripts/run_amst_transforms.py
Let me know if I can help you with anything or if you run into further issues!
from amst.
Great, thanks so much! I look forward to implementing this.
from amst.
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