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Add random crop transform

See original GitHub issue

🚀 Feature

Add random crop as a transformer apart from the LabelSampler.

Motivation

I’m doing patch based segmentation. My images are relatively large 512x512x512 and I only take patches of size 128x128x64. I’m now currently applying random affine on the entire image, but this process is too slow. Therefore, it would be nice to apply a random crop to get images of size 256x256x128, then apply a random affine, then extract patches.

Or is there any other better way to reduce the compute here?

Issue Analytics

State:
Created 2 years ago
Comments:13 (6 by maintainers)

Top GitHub Comments

1reaction

jxchen01commented, Jan 26, 2022

hmm… interesting. I want to give it shot and try to make a PR.

1reaction

mathpluscodecommented, Jun 13, 2021

Hi, @mathpluscode. Nice to see you here. Would the example in #205 (comment) work?

If the reading time is another bottleneck, we could implement a reader that uses NiBabel’s memmap to perform the random crop at reading time. Please let me know.

Hi @fepegar, thanks for the quick reply! Yes this example sounds enough for my application. Will try it and let you know if it works still!