Hi, this might be a very silly question but i’m new to fastai and was reading the book. I learned how to create image dataloaders and fine tuned a resnet on it. But i want to test it on test images which are unlabelled. How to create dataloaders for them ?
DataLoaders.test_dl. Assuming you have a dataloader that takes a list of files and
test_files is the list of files to test, you’d do this:
test_dl = learn.dls.test_dl(test_files) preds, _ = learn.get_preds(dl=test_dl)
If your dataloader read pandas dataframes, you’d pass
test_dl a dataframe of test items.
For more details you can look at my inference tutorial here.
Thanks a lot…