imagelist.py

src = (ImageList.from_df(df, path, folder='train_images')
      .random_split_by_pct(0.2, seed=14)
      .label_from_df('has_oilpalm')
      .add_test(combined_test))
      
data = (src.transform(get_transforms(flip_vert=True), size=164)
           .databunch()
           .normalize(imagenet_stats))