About

This is my implementation to the seam carving for content-aware image resizing. The Seam carving Algorithm aims to size down images without distorting the main objects as much as possible in a effective way.

Examples

The following photos show the result of running this code on the an image for 0, 124, 300, 500, 770, 900 times.

another example :

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Anatomy

• imager.py : Used for simple image processing like: opening images, saving, remove a given seam of pixels, calculating the "Energy for a pixel".
• core.py : builds the Seam of pixels that has the smallest energy and send it to imager.py to remove that Seam, using Dynamic Programming.

Tasks

• Build the core parts of the algorithm.
• Test on a simple case.
• More testing on different cases.
• Build a CLI, to better handling the project parts.
• Strip down the code for performance improvements.
• integrate Threads and parallel computing to speed up the program