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In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!
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There are all sorts of odd or even non-conformant DICOMs out in the world.
When we encounter parser failures on a DICOM (for both the current and the in progress rewrite), it would be good to be able to toggle a debug mode flag that can help us better dig into parsing failures and provide helpful information. Ideally if this information is not PHI (e.g. just DICOM tags, other general info), it
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Sep 10, 2020
Hello,
There seem to be an issue in template recognition when creating mappings involving Rigid3d DoFs.
Namely, when creating a BarycentricMapping or a BeamLinearMapping between a mechanical model and a collision model of connected beam elements, I receive the following error messages:
`[ERROR] [InfoComponent(Not created (BarycentricMapping))] Object type BarycentricMapping<Vec3d,Rigid3
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