here arrays have the same size and the same number of channels), nor 'array op scalar', nor 'scalar op array' in function 'arithm_op'
时间: 2024-01-27 15:03:22 浏览: 11
As an AI language model, I need more context to provide a specific solution to this error. However, I can provide some general information about this error message.
This error message usually occurs when performing arithmetic operations on arrays with different sizes or numbers of channels (e.g., an RGB image vs. a grayscale image). It can also occur when performing arithmetic operations between arrays and scalar values.
To fix this error, you need to ensure that the arrays have the same size and the same number of channels before performing any arithmetic operations. You can use functions like cv2.resize() or cv2.cvtColor() to resize or convert the arrays to the same size and number of channels.
You should also ensure that the arithmetic operation is performed between arrays of the same data type (e.g., both arrays are of type float32 or uint8).
If you are performing arithmetic operations between arrays and scalar values, you should ensure that the scalar value is of the same data type as the array. You can use the np.asarray() function to convert the scalar value to an array of the same data type.
In general, it is important to carefully check the inputs and data types of all functions when working with arrays in OpenCV to avoid this error.