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RandAffined fails with KeyError when allow_missing_keys and key at index 0 is missing

See original GitHub issue

Describe the bug We have a pipeline in which not all samples have the same keys. The RandAffined transform accesses fallback data via index 0. If index 0 is a missing key, then this transform will fail with a KeyError.

805   sp_size = fall_back_tuple(self.rand_affine.spatial_size, data[self.keys[0]].shape[1:])
806   # change image size or do random transform
807   do_resampling = self._do_transform or (sp_size != ensure_tuple(data[self.keys[0]].shape[1:]))

Expected behavior If the option allow_missing_keys is set, I would expect the RandAffined transform to take the first element of the existing keys as fallback.

Issue Analytics

State:
Created 2 years ago
Comments:12 (12 by maintainers)

Top GitHub Comments

2reactions

Nic-Macommented, Nov 10, 2021

Hi @Spenhouet ,

Thanks for your feedback. I am already working on a PR to address this issue, will submit for review soon.

Thanks.

1reaction

Spenhouetcommented, Nov 12, 2021

Hi @Nic-Ma,

looks good to me! Thanks you!

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