TypeError: Value after * must be an iterable, not numpy.uint8

This error occurs when you try to multiply a single value (which is not iterable) with a numpy array. To fix this error, you need to ensure that both operands of the multiplication operation are iterable.

For example, if you have a numpy array `a` and a scalar value `b`, you can multiply them using the following code:

import numpy as np

a = np.array([1, 2, 3])
b = 2

result = a * b

In this example, `b` is a scalar value, but it is automatically broadcasted to match the shape of `a` (which is `[1, 2, 3]`). This means that `b` is effectively converted to the array `[2, 2, 2]`, and then multiplied element-wise with `a` to produce the result `[2, 4, 6]`.

If you still get the same error, make sure that the data type of your numpy array is compatible with the scalar value you want to use for multiplication. For example, if your numpy array has a data type of `uint8`, you should use a scalar value that can be converted to `uint8`, such as an integer between 0 and 255.