This repository was born out of the need to create OpenCV numpy 2-D array representing an RGB image out of a sequence of color gradient values stored as an 1-D array.
There are following questions with answers on stackoverflow related to this topic:
Algorithm for transformation of an 1-D-gradient into a special form of a 2-D-gradient : https://stackoverflow.com/questions/78502481/algorithm-for-transformation-of-an-1-d-gradient-into-a-special-form-of-a-2-d-gra
Reverse (flip) order of values in anti-diagonals of an non-square array without using Python loops https://stackoverflow.com/questions/78518903/reverse-flip-order-of-values-in-anti-diagonals-of-an-non-square-array-without
How to put a Python numpy array back together from diagonals obtained from splitting the array into right to left diagonals in first place? https://stackoverflow.com/questions/78501763/how-to-put-a-python-numpy-array-back-together-from-diagonals-obtained-from-split
Below an excerpt of one of these questions explaining the required arrangement of color entries from the 1-D color gradient array in a 2D-image:
Assuming there is a 1-D array/list which defines a color gradient I would like to use it in order to create a 2-D color gradient as follows:
Let's for simplicity replace color information with a single numerical value for an example of an RGB color gradient 1-D array/list :
[ 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 ]To keep the gradient progressing diagonally with progress of the largest next value diagonally over the entire array I would like to transform the 1-D sequence into a 2D-array with deliberately chosen shape (i.e. width/height, i.e. number of rows x number of columns where row * columns == length of the 1-D gradient array) as follows:
[[ 1 2 4 ]
[ 3 6 7 ]
[ 5 9 10 ]
[ 8 12 13 ]
[ 11 14 15 ]]This special diagonal oriented mapping of the flat 1-D data to a 2-D array is not covered by the in Python and numpy ready-to-use out-of-the-box methods along with building a 2-D array out of a list with array right-to-left diagonals.