Clement Caporal
Clement Caporal
If it's useful, I can also add to the PR : 1. manage image anisotropy similar to : https://haesleinhuepf.github.io/BioImageAnalysisNotebooks/19_spatial_transforms/scaling.html (plus it seems to me that the anisotropy is already relatively...
+1 I also have this use case! 👀
Yes of course! Thanks
Hi @danifranco, I hope you are doing well, I will look at this issue next week and send an associated PR!
It depends if the inference with the pytorch generator really change this cropping part (I suppose not?)? If yes, I better wait! https://github.com/BiaPyX/BiaPy/blob/f872e1fd74fe55b66c694ef0289bb07495265c5f/biapy/engine/base_workflow.py#L1127 And for the inference structure, how do...
Can't wait to taste what you've cooked! See you in two weeks +1 to not drop `.h5` support
Hi @danifranco, (You cooked **exactly** 2 weeks ahah) Fantastic, you solve many problems with thoses changes. I will try when I have time to check the time effect on our...
> Yeah, the padding is already removed by that time. See when `after_one_patch_prediction_by_chunks` is called and how above the padding is removed here: I would argue that the padding should...
Thank you for your answers! > > I could also add a PR that do not right the inference at all? The user (at least for me) workflow could be:...
I hope to propose something by Tuesday once I checked the padding in detection