Pytorch-UNet
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Question: Data AUgmentation included like described in the referenced Paper?
Hi, does the unet already include the described data augmentation mentioned in the paper?
Dear Benjamin, I had exactly the same question. Have you figured it out how to implement augmentation in Pytorch-Unet? Is it possible to run a prediction on a stack of images not just one? I am working with Z-stack images. Additionally, regarding the representation of the loss and val curves, Wandb workspace appears empty (error message: No workspace yet). I was wondering if you know how to fix this.