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class DeepFeatureExtractor: """ Wraps a pretrained model and returns the activations of a chosen layer. """ def __init__(self, model_name: str = "resnet50", layer_name: str = "avgpool", # layer whose output you want device: str = "cuda" if torch.cuda.is_available() else "cpu"): # 1️⃣ Load a pretrained model self.model = getattr(models, model_name)(pretrained=True) self.model.eval() self.model.to(device)

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The song built up to a crescendo, and so did their laughter. With one final spin, they came to a stop, out of breath and beaming. class DeepFeatureExtractor: """ Wraps a pretrained model and