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train own dataset #4
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I have the same question,It refers that only nii files can work but I am failed to do so with Traceback (most recent call last): |
you need to adjust two lines like shown in this pull request: |
@benearnthof After modifying the config file and code according to your suggestion, there are still errors. I am considering whether the relationship between image size may be related to preprocessing. In addition, there is a significant gap between my area of interest and the entire image, and there is an extremely imbalanced phenomenon in the image. Can this algorithm be implemented for such image denoising? |
@Zhongrocky Without seeing your dataset (image sizes, amount of images, the shape of the input tensors you want to model e.g. the snippet of the images that is relevant for your case) I really cannot answer this question. In general this method should work for 3D data that contains both information in the height and width axes (spatially coherent data) and also is sufficiently self-similar in the time/depth axis. |
Hello, I encountered a situation where the dataset is not available while training my own dataset. The code can return training data, but cannot return validation data. Do you need to change the dataset structure? Or how to run it to train the Vqgan model. Thank you a lot.
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