Another possibility is to make a test folder and put your image there. Here is an example on how to use a “test_name”
data = ImageClassifierData.from_csv(path, img_folder, csv_fname, bs, tfms, val_idxs, suffix=".png",
test_name="test", continuous=True)
Then you can predict
test_preds = learn.predict(is_test=True)
Here is how you get a list of the test files ordered.
test_files = data.test_dl.dataset.fnames