[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-1)class StrCategorize(Transform):
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-2)    def __init__(self, vocab):
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-3)        self.vocab = vocab
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-4)        self.s2i = {s:i for i,s in enumerate(vocab)}
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-5)        self.i2s = {i:s for i,s in enumerate(vocab)}
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-6)    def encodes(self, s:str): return self.s2i[s]
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-7)    def decodes(self, i:int): return self.i2s[i]
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-8)    
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-9)transforms_ft = Pipeline([
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-10)   load_img_and_label,
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-11)   Resize(256,method="squish"),
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-12)   Resize(224,method="crop"),
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-13)   ToTensor(),
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-14)   IntToFloatTensor(),
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-15)   Normalize.from_stats(*imagenet_stats, cuda=False),
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-16)   StrCategorize(vocab=['husky','wolf']), # <-- Transform is just for the target label
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-17)])
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-18)
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-19)out = transforms_ft(fpath)
[](https://www.fast.ai/posts/2025-02-20-fasttransform.html#cb16-20)print((out[0][0,:2,:2,:2], out[1]))