处理类型异常。
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@@ -161,10 +161,13 @@ class FoodSegmentationDataset(Dataset):
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# albumentations会自动将增强同时应用到image和mask
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transformed = self.transform(image=image, mask=mask)
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image = transformed['image'] # Tensor (3, H, W)
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mask = transformed['mask'] # ndarray (H, W)
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mask = transformed['mask'] # 可能是ndarray或Tensor
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# 3. 将mask转换为Tensor
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mask = torch.from_numpy(mask).long()
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# 3. 将mask转换为Tensor(检查类型)
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if isinstance(mask, np.ndarray):
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mask = torch.from_numpy(mask).long()
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else:
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mask = mask.long() # 已经是Tensor,直接转换类型
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# 4. 检查mask的有效性
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# 确保mask的值在[0, num_classes-1]范围内
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