[Feature request] Make cv2.warpAffine work with image with any number of channels

[ternaus]

Describe the feature and motivation

Currently cv2.warpAffine supports only 1, 3 and 4 channels images, while for problems of medical or satellite imagery we may have any. Would be great to add support for any number of channels.

[samybali]

@ternaus Hi, I would like to work on this issue. Is it possible de have more details please ?

[ternaus]

   ...: import cv2
   ...: import numpy as np
   ...: from matplotlib import pyplot as plt
   ...:
   ...:
   ...:
   ...: rows, cols, ch = 256, 256, 11
   ...:
   ...: img = np.random.randint(0, 255, size=(rows, cols, ch))
   ...:
   ...: pts1 = np.float32([[50, 50],
   ...:                    [200, 50],
   ...:                    [50, 200]])
   ...:
   ...: pts2 = np.float32([[10, 100],
   ...:                    [200, 50],
   ...:                    [100, 250]])
   ...:
   ...: M = cv2.getAffineTransform(pts1, pts2)
   ...: dst = cv2.warpAffine(img, M, (cols, rows))
---------------------------------------------------------------------------
error                                     Traceback (most recent call last)
Cell In[2], line 20
     15 pts2 = np.float32([[10, 100],
     16                    [200, 50],
     17                    [100, 250]])
     19 M = cv2.getAffineTransform(pts1, pts2)
---> 20 dst = cv2.warpAffine(img, M, (cols, rows))

error: OpenCV(4.11.0) /Users/xperience/GHA-Actions-OpenCV/_work/opencv-python/opencv-python/opencv/modules/imgproc/src/imgwarp.cpp:1897: error: (-215:Assertion failed) ifunc != 0 in function 'remap'

@samybali and if you ch as 1, 3, or 4 it works