<commit_before>Introduction
------------

Contrasty uses local contrast detection to construct an approximate depth dimension given a sequence of images taken with varying focal distances. Basically, it uses information gleaned from having a shallow depth-of-field to recreate the scene being photographed in faux-3D.

Contrasty also implements three mechanisms for visualizing the recreated scene:

1. OpenGL depth viewer
2. Anaglyph images
3. Fake tilt-shift images

Dependencies
------------

* Python 2.6+
* PIL
* PyOpenCL
* PyOpenGL
* numpy<commit_msg>update dependencies<commit_after>Introduction
------------

Contrasty uses local contrast detection to construct an approximate depth dimension given a sequence of images taken with varying focal distances. Basically, it uses information gleaned from having a shallow depth-of-field to recreate the scene being photographed in faux-3D.

Contrasty also implements three mechanisms for visualizing the recreated scene:

1. OpenGL depth viewer
2. Anaglyph images
3. Fake tilt-shift images

Dependencies
------------

* Python 2.6+
* PIL
* PyOpenCL
* PyOpenGL
* numpy
* scipy
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