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@lmanan lmanan released this 18 Apr 11:39
· 172 commits to main since this release
v0.2.4-tag
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Learn about vigilant mode.

This release was used to compute numbers for the MIDL publication and is stable.

  • The normalization of the image intensities was done by dividing pixel intensities by 255 (for 8-bit images) and 65535 (for unsigned 16-bit images). While this normalization strategy lead to a faster training, it lead to a sometimes, poorer OOD performance. In the future releases, the default will be set to min-max-percentile (takes model longer to reach the same val IoU but leads to a better inference performance).
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