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Thanks for you sharing and past work.
I saw your code within datasets.py: img = torch.from_numpy(img) # 将图像数据转换为PyTorch张量 img = img.squeeze() # 去除张量中维数为1的维度 img = img.reshape(1, -1, 256, 256) # 根据torch.nn.Conv3d的输入要求(C, D, H, W),对数据进行reshape img = img[:, 0:160, :, :].float() # 对数据进行裁剪和类型转换
Could you help to clarify why you img[:, 0:160, :, :]? How did you set the parameter 160? what is the meaning of that?