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i have one folder for mask but it gives me error FileNotFoundError: No such file or no access: 'C:\~~~\nii format\site1-sc01-mask-r3.nii.gz'
what i should change in train_dataset = mt_datasets.SCGMChallenge2DTrain(root_dir=ROOT_DIR_GMCHALLENGE, transform=composed_transform)
to make it work with one mask ?
The text was updated successfully, but these errors were encountered:
is the code written for one dataset?
my data has one mask for each image and it is asking for the other three , is there a way to change to make it work on my dataset ?
Hi @Najat91, the class SCGMChallenge2DTrain was made to load data from a specific dataset (the SCGM Challenge), if you want to load your own data, you should use the class MRI2DSegmentationDataset where you just have to pass a list of tuples in the format (input filename, ground truth filename).
Hi @Najat91 , As discussed over LinkedIn and confirmed by @perone , you can use the above method to load custom dataset. In other specific cases you can use nibabel and nilearn libraries & create your own custom data-loaders in PyTorch.
i have one folder for mask but it gives me error
FileNotFoundError: No such file or no access: 'C:\~~~\nii format\site1-sc01-mask-r3.nii.gz'
what i should change in
train_dataset = mt_datasets.SCGMChallenge2DTrain(root_dir=ROOT_DIR_GMCHALLENGE, transform=composed_transform)
to make it work with one mask ?
The text was updated successfully, but these errors were encountered: