self.train_labels = [labels[self.get_class(x)] for x in self.train_roots] KeyError: '..\\datas\\omniglot_28x28' about learningtocompare_fsl

[gaoyangyang-1]

you can change the code like this:

from:
task_generator.py, line 74:
　　def get_class(self, sample):
return os.path.join(*sample.split('/')[:-1])

to:
def get_class(self, sample):
return os.path.join(*sample.split('\')[:-1])

[KhanShovon]

I'm getting a similar problem. I get KeyError: '(Dataset folder directory)' just like you, for both Omniglot and miniImagenet. Could you solve it? @Samlezed

[gaoyangyang-1]

i get this error too

[KhanShovon]

Thank you for your reply. I've solved it following the solution I found on a Chinese forum. That was lifesaving!