请问这个问题该怎么解决？

Question

遇到报错：
TypeError: expected np.ndarray (got PlyData)

报错部分：

def main():
    args = options()
    torch.backends.cudnn.deterministic = True

    if args.user_data:
        sourceR = PlyData.read(r'E:\bunny\data\bun000.ply')  # The source point cloud is a rotated and offset defect
        # source=s3.float()

        templateR = PlyData.read(r'E:\bunny\data\bun045.ply')  # Template point cloud is complete
        # template=s5.float()


        source = torch.from_numpy(sourceR)      #此处报错
        template = torch.from_numpy(templateR)

      testset = UserData(template=template, source=source, tpcc=None, igt=None)

Answer 1

torch.from_numpy 函数需要传输的对象是np.ndarry 类型的东西，你现在传输的sourceR 他的对象类型是PlyData
需要进行更改https://blog.csdn.net/weixin_42445581/article/details/105069655