Dog Breed Identification challenge

Part 1 (2018)
144

Thanks a lot @A_TF57 ! :grinning:

The following methodology works to make predictions on the test set when it was not initially given to the data object :

  1. rerun data=... with test_name='test' :

data = ImageClassifierData.from_csv(PATH, 'train', f'{label_csv}', test_name='test', num_workers=4, val_idxs=val_idxs, suffix='.jpg', tfms=tfms, bs=bs)

  1. run : learn.set_data(data)

  2. then, you can run : log_preds,y = learn.TTA(is_test=True)

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