Numpy package update for testing on Linux

[asmorkalov]

Previous numpy 2.26 cases issue:

======================================================================
ERROR: test_correctImage (test_ccm.photo_test.test_correctImage)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/local/lib/python3.14/dist-packages/numpy/testing/_private/utils.py", line 851, in assert_array_compare
    val = comparison(x, y)
  File "/usr/local/lib/python3.14/dist-packages/numpy/testing/_private/utils.py", line 1710, in compare
    return np._core.numeric.isclose(x, y, rtol=rtol, atol=atol,
           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                                   equal_nan=equal_nan)
                                   ^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.14/dist-packages/numpy/_core/numeric.py", line 2447, in isclose
    result = (less_equal(abs(x-y), atol + rtol * abs(y))
                             ~^~
ValueError: operands could not be broadcast together with shapes (1250100,) (0,) 

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opencv/modules/python/test/test_ccm.py", line 272, in test_correctImage
    np.testing.assert_allclose(gold_img, calibratedImage, rtol=0.1, atol=0.1)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.14/dist-packages/numpy/testing/_private/utils.py", line 1715, in assert_allclose
    assert_array_compare(compare, actual, desired, err_msg=str(err_msg),
    ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         verbose=verbose, header=header, equal_nan=equal_nan,
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         strict=strict)
                         ^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.14/dist-packages/numpy/testing/_private/utils.py", line 929, in assert_array_compare
    raise ValueError(msg)

The issue is reproducible with particular versions combination of python and numpy and looks like Numpy bug.
Most probable reason: numpy/numpy#28681