Version: 0.2

Status: Development.

Author: Harrington Joseph

This is a simple library that helps you to manipulate images (crop, resize, convert - black and white / grayscale / svg). The basic idea behind this project it to provide a easy way to execute common operations over images that are required very often.

• Python 2.7 (It possibly works in lower versions - Not tested)
• PIL (Python Image Library).

It's very simple. Currently the library just has the following main functions:

• black_and_white
• grayscale
• resize_and_crop
• svg_source

So, how to use it?

import pyit
import Image # this is part of the PIL

image = Image.open('foo.jpg')

# Black and white
# Getting a black and white image from the original one
new_image = pyit.black_and_white(image)
new_image.save('foo_black_and_white.jpg')

# Grayscale
# Getting a grayscale image from the original one
new_image = pyit.grayscale(image)
new_image.save('foo_grayscale.jpg')

# Crop and resize
# Getting a 800px x 600px image from the original one
new_image = pyit.resize_and_crop(image, 800, 600)
new_image.save('foo_800x600.jpg')

# Converting to SVG
# Getting SVC source from and image.
svg_source = pyit.svg_source(image)
svg_file = open('foo.svg', 'w')
svg_file.write(svg_source)
svg_file.close()

• Write documentation for each function.
• Write a setup script.
• Find a way to test/validate the SVG source.
• Improve the svg_source algorithm to get a smaller SVG source.
• Create an SVG class to perform different operations over the same object (cropping, resizing, convert to and Image object).
• Create an Image class that inherits from the PIL Image class and add custom functions.
• Consider adding new features or custom functions like:
  • Color replacement - tolerance range (replace similar/close colors).
  • Apply custom filter.
  • Transparencies.

Please feel free to fork the project comment about the existing functionality and suggest new features.