In python, there are a number of powerful libraries that make image processing easy, such as OpenCV, SciKit-Image and Pillow. For anyone thinking about doing serious image processing, they should be the first place to look. However, I am not planning on putting anything into production. numpy.dstack¶ numpy.dstack (tup) [source] ¶ Stack arrays in sequence depth wise (along third axis). This is equivalent to concatenation along the third axis after 2-D arrays of shape (M,N) have been reshaped to (M,N,1) and 1-D arrays of shape (N,) have been reshaped to (1,N,1). Rebuilds arrays divided by dsplit.

*Jul 26, 2019 · numpy.transpose ¶ numpy.transpose (a ... Transposing a 1-D array returns an unchanged view of the original array. Examples ... numpy.atleast_1d ...*If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions. order: {‘C’, ‘F’, ‘A’}, optional. Read the elements of a using this index order, and place the elements into the reshaped array using this index ...