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| import tensorflow_hub as hub | |
| import numpy as np | |
| class BigTransfer: | |
| def __init__(self): | |
| self.module = hub.KerasLayer("https://tfhub.dev/google/bit/m-r50x1/1") | |
| def extract_feature(self, imgs): | |
| features = [] | |
| for img in imgs: | |
| features.append(np.squeeze(self.module(img))) | |
| return features |