Binary Unet Segmentation **Without Metadata file**

Part 1 (2020)
1

Hello Experts,

I am new to fastai and machine learning. I just started learning some weeks ago. I have gone through most of the lessons in the fastbook.

I have a problem I am trying to solve: Image segmentation.
I am trying to apply the DataBlock Api or the SegmentationDataloaders for the extraction of building footprints from satelite imagery. I get errors when I donot pprovide the codes argument in the SegmentationDataloaders() such as Could not do one pass in yor dataloader, ther is something wrong in it and when I try calling dls.one_batch() I get RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED .

I would like to write my own custom dataloder which doesn’t require the code argument, because the training data does not contain and metadata file. I have not found an example implementation where the dataset doesn’t have one.

Can anyone here help me out with some guide or an example?

thanks

2

Are you running it in Colab? If yes, did you change your runtime to gpu? This looks like a CUDA error.