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Image-Aesthetics-Handcrafted

Python Project on Image Aesthetics using Handcrafted methods. Based on the photography rules such as Rule of Thirds, Depth of Field and Color Contrast. This was the initial part of my final project on the same topic using Deep Learning which can be found here: https://github.com/ananyapal/Image-Aesthetic-Assessment-using-Deep-Learning.
The following are the basics which are necessary for Image Processing.

Files

  • The image path can be changed according to your image location.

- Color contrast w grabcut.py:

Evaluating aesthetic quality based on Color Contrast

- SVMcode.py:

SVM for evaluating aesthetic quality of images

- dof.py:

Evaluating aesthetic quality based on Depth of Field

- foreground background.py:

Separating Foreground and Background

- grabcut.py:

Grabcut algorithm

- rot.py:

Evaluating aesthetic quality based on Rule of Thirds

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Python Project on Image Aesthetic Assessment using handcrafted methods based on the photography rules such as ROT, DOF, and Color Contrast. This was the initial part of my final project on the same topic using Deep Learning.

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