Stack arrays in sequence depth wise (along third axis)
Takes a sequence of arrays and stack them along the third axis to make a single array. Rebuilds arrays divided by dsplit. This is a simple way to stack 2D arrays (images) into a single 3D array for processing.
Parameters:  tup : sequence of arrays


Returns:  stacked : ndarray

See also
Notes
The function is applied to both the _data and the _mask, if any.
Examples
>>> a = np.array((1,2,3))
>>> b = np.array((2,3,4))
>>> np.dstack((a,b))
array([[[1, 2],
[2, 3],
[3, 4]]])
>>> a = np.array([[1],[2],[3]])
>>> b = np.array([[2],[3],[4]])
>>> np.dstack((a,b))
array([[[1, 2]],
<BLANKLINE>
[[2, 3]],
<BLANKLINE>
[[3, 4]]])