A Image Mosaic generator made with Python

To get up and running, make sure you have Python installed

This project depends on Numpy , Pillow and scikit-image

to install them:

Numpy:

pip install numpy

Pillow:

pip install pillow

scikit-image

pip install scikit-image

In the code, there are variables that can be changed

1. The name of the input image -> 'mainImageTarget'

2. Number of tiles to devide image into -> 'numberOfTiles'.

   • For square image you can input 1 number equal to the number of tiles (must be squared number)
   • For non squared images, you input the number of square on x axis, and number of squares on y axis

3. Comparison Mode ->

   • [1] Compare transformed rgb to transformed rgb (small tiles)
   • [2] Compare transformed rgb to transformed rgb (big tiles)

4. Transform Mode ->

   • [1] no transformation
   • [2] RGB -> sRGB
   • [3] RGB -> CIE-Lab (my implimentation)
   • [4] RGB -> CIE-Lab (scikit-image)

As of the latest version, this is not required, refer to command line usage. However, if you wish to use it the old way, look for this piece of code.

#& user defined if need be. 
mode = args['mode']						#1
transform = args['transform']			#3
numberOfTiles = args['tiles']			#400
mainImageTarget = args['file']			#"1_in.jpg"
#&

To use the script you need to attached arguments in the command-line,

Refer to above (User Defined Variables) for explination on values,

• [-m] mode := comparison mode, is int of range [1 -> 2]
• [-t] tiles := number of tiles, explained in last section.
• [-tr] or [-trans] transform mode := transformation from RGB to ... , is int of range [1 -> 4]
• [-f] file := target file, is the filename of the image.

Example usage

#For square image, 400 tiles (20x20)
$	sudo python python_image_mosaic.py -m 1 -t 200 -tr 3 -f 1_in.jpg

#For non-square image, 3750 tiles (50x75)
$	sudo python python_image_mosaic.py -m 1 -t 50, 75 -tr 3 -f 2_in.jpg

Target Image	Resulting Image

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

• Imran Paruk - Initial work

See also the list of contributors who participated in this project.

This project is licensed under the MIT License - see the LICENSE.md file for details

Thank you to:

• http://www.easyrgb.com/en/math.php
• https://stackoverflow.com/a/5021831
• https://en.wikipedia.org/wiki/CIELAB_color_space#Forward_transformation
• https://gist.github.com/bikz05/6fd21c812ef6ebac66e1
• https://gist.github.com/manojpandey/f5ece715132c572c80421febebaf66ae
• https://stackoverflow.com/a/39504463