Aaron Ponti

Hi, @ap--. Happy new year to you, too! I should be able to get my hands on the hardware this week (can't tell you when, yet, though). And I can...

Cool! I should be able to get on the machine next week. I'll try to get a packet dump, too.

I would also be interested in this. I am currently trying to map 16-bit, noisy, low-resolution images to corresponding 16-bit, less-noisy, higher-resolution, same-size, 16-bit images size with an U-Net. If...

> > I would also be interested in this. I am currently trying to map 16-bit, noisy, low-resolution images to corresponding 16-bit, less-noisy, higher-resolution, same-size, 16-bit images size with an...

> perhaps could try the basic unet as well, it's less flexible but easier to config https://docs.monai.io/en/latest/networks.html#monai.networks.nets.BasicUNet Indeed, thanks! I will also try the basic U-Net.

Hi, thanks for your feedback. This is my code: ```python with rawpy.imread(in_filename) as raw: rgb = raw.postprocess(gamma=(1, 1), no_auto_bright=False, output_bps=16) image.imsave(out_filename, rgb) ``` I checked that in both my environments...

Maybe `rawpy` changed what `raw.postprocess()`returns, somehow. I am out of town now and can't check what versions I was and am now using (what I can say is that the...

Thanks, @atbenmurray! Your suggestion indeed seems to work fine. Just one curiosity: if I start again with the same tensor with shape `(1, 20, 100, 100)` and `affine.diag() = [1.0,...

Hi, @atbenmurray no worries, thanks for following up. I ultimately ended up writing my own `CustomResampler` and `CustomResamplerd` that directly use ` torch.nn.functional.interpolate` since, in addition, I was struggling with...

Sorry for the late reply. I switch to my own resampler long time ago. In any case, I think the issue was that after `Spacingd()`, I was using `RandCropByPosNegLabeld()` and...