TypeError: range() missing 1 required positional arguments: "end"

This error occurs when the `range()` function is not provided with the required arguments. The `range()` function requires at least one argument, which is the `end` value of the sequence.

For example, `range(10)` will create a sequence of numbers from 0 to 9, while `range(1, 10)` will create a sequence of numbers from 1 to 9.

Make sure that you provide the required arguments to the `range()` function.

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TypeError: unsqueeze() missing 1 required positional arguments: "dim"

This error occurs when calling the `unsqueeze()` method without specifying the dimension to unsqueeze along.

For example, if you have a tensor `x` with shape `(3,)` and you want to unsqueeze it to have shape `(1, 3)`, you would call:

x = x.unsqueeze(0)

Here, the `dim` argument is `0`, which specifies to unsqueeze the tensor at the first dimension.

If you forget to specify the `dim` argument, you will get the `TypeError: unsqueeze() missing 1 required positional arguments: "dim"` error.

TypeError: resize() missing 2 required positional arguments: 'fx' and 'fy'

这个错误通常是由于调用OpenCV中的resize()函数时参数缺失导致的。resize()函数需要传入原始图像、输出图像大小和缩放因子等参数。具体来说，resize()函数需要传入以下两个参数：

1. 输出图像大小，即目标图像的宽度和高度。可以使用元组或整数来指定输出图像的大小。例如，如果要将原始图像缩放到宽度为500像素和高度为300像素的大小，则可以使用以下代码：

`resized = cv2.resize(image, (500, 300))`

2. 缩放因子，即输出图像的缩放比例。可以使用浮点数或元组来指定缩放因子。例如，如果要将原始图像的大小缩小到原来的一半，则可以使用以下代码：

`resized = cv2.resize(image, None, fx=0.5, fy=0.5)`

其中，fx和fy是水平和垂直方向的缩放因子，分别控制图像在水平和垂直方向上的缩放比例。

如果在调用resize()函数时出现"TypeError: resize() missing 2 required positional arguments: 'fx' and 'fy'"错误，则可能是因为在使用缩放因子进行图像缩放时，忘记将输出图像大小作为第二个参数传递给resize()函数。检查一下代码中resize()函数的参数是否正确传递即可。