* than zero, or if the load factor is nonpositive */ public HashSet(int initialCapacity, float loadFactor) { map = new HashMap<>(initialCapacity, loadFactor); } /** * Constructs a new, empty set; the backing {@code HashMap} instance has * the specified initial capacity and default l...
model.load_state_dict(torch.load('pretrained_ai_detection_model.pth')). model.eval(). clean_dataset = []. for images, labels in dataloader: with torch.no_grad(): outputs = model(images). 假设这里通过一个阈值来判断是否是AI生成的图像。 predictions = (outputs > 0.5).squeeze(). for i ...
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