transforms_ft = Pipeline([
   load_img_msk,  # <-- New load func for img and mask
   RandomResizedCrop(200),  # Applied to both img and mask
   ToTensor(),              # Applied to both img and mask
   IntToFloatTensor(),                              # Only applied to img
  Normalize.from_stats(*imagenet_stats,cuda=False)  # Only applied to img
])

out = transforms_ft(fn)
out
show_images((out[0][0], out[1]))