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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 |