INNER CODE UNIT · Python

_hash_list

patrickjohncyh/fashion-clip · fashion_clip/fashion_clip.py:84

    def _hash_list(self, l: List[str]):
        l_hash = map(lambda el: hashlib.sha256(str(el).encode()).hexdigest(), l)
        l_hash = ' '.join(l_hash)
        return hashlib.sha256(l_hash.encode()).hexdigest()

    def hash(self):
        id_hash = self._hash_list(self.ids)
        images_hash = self._hash_list(self.images)
        caption_hash = self._hash_list(self.captions)
        return hashlib.sha256((id_hash+images_hash+caption_hash).encode()).hexdigest()

class FashionCLIP:
    """
    FashionCLIP class takes:
        1. FCLIPModel Name / Path
        2. FCLIPDataset
    Then, it generates required embeddings based on the dataset
    OR if a pre-processed versions exists then pull it from S3?

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