A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
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introduced handling for target = None in RandomRotate2d #42
For training the SECGAN, I tried using the RandomRotate-transformation. Since in this scenario, there are no targets given in the KnossosRawData, it fails in the following line: https://github.com/ELEKTRONN/elektronn3/blob/d599a6ab805e1f724d38037d3fad73e3aff04f12/elektronn3/data/transforms/transforms.py#L1005
Called in: https://github.com/ELEKTRONN/elektronn3/blob/d599a6ab805e1f724d38037d3fad73e3aff04f12/elektronn3/data/knossos.py#L101
Suggestion: check whether 'target is not None' in the RandomRotate-class like in the RandomFlip-class