NOTE: This is just a progress Report. Cool Stuff with Computer Vision Machine Learning libraries and aglos will follow

[NOTE THIS CODE WAS NEVER OPTIMISED. MY MAIN AIM WAS TO MAKE THE PIXEL SORTER WORK]

Example Images [TODO LIST FOLLOWS BELLOW AND SOME NOTES WRITTEN TO THE FUTURE ME THIS CODE CAN NEEDS IMPROVEMENTS]

NOTES/ TODOS:

I realized that sorting the whole image is intuitively not a great idea due

to the fact that one would not achieve great results by doing so. However,

i will start of by sorting half the image and then take it from there.

at this stage i would like to use the sobel method for achieving a different

outcome.

> the comparative_merge_sort.py implemented by unathi is broken. the primary

array is sorted correctly but the secondary array is not sorted accordingly.

a certain cell is duplicated when the sorting is in action. I failed to debug

it,

> however, to proceed i am resorting to the sorted built in function. which

uses a hybrid sorting algorithm called Timesort, this algorithm is derived

from merge sort and insertion sort and it works well with different kinds of

data sets.

> implement or make use of edge detection before sorting ;) cook an art tool

> debug and reslove RUNTIMEERRORS for two sorting criteria methods.

> fix methods and rethink the design of the code structure.

> implement a squre and circle sorter.

> then use SIFT or SURF for object detection and sort the objects identified.

> also it would be cool to sort people or faces, this is possible through obj detection.

I FEXED IT DURING MY HECTIC SCHEDULE THE TIMING WAS OFF

THEY YET TO COME THOUGH ...