This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

This is a student software engineering project of the Department of Computer Science of the University of Helsinki. The aim is to develop a set of image (photo) filtering components for Vismantic, an interactive system generating visual ideas (imagine a light bulb grows out of a tuft of green leaves). Vismantic finds photos in Flickr using keywords input by a user, and then analyzes and combines these photos in different ways. Among the image processing techniques used by Vismantic, object extraction and texture transfer techniques are relevant to this project.

The Image Filtering Suite for Vismantic project implements image filtering modules that automate the filtering of images unsuitable for use in Vismantic. The library is currently able to detect e.g. images that are blurred, overexposed, pattern-like or of unconventional size. Image processing tasks utilize the NumPy and OpenCV libraries extensively. Additional features are included, such as the ability to handle image processing tasks from JSON requests and the library is optimized to be as fast as possible with vectorized operations and Numba integration.

Release History

Release History

1.0.1

This version

History Node

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Changelog content for this version goes here.

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1.0.0

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Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
QualiPy-1.0.1-py2-none-any.whl (1.4 MB) Copy SHA256 Checksum SHA256 2.7 Wheel Aug 28, 2015
QualiPy-1.0.1.tar.gz (1.4 MB) Copy SHA256 Checksum SHA256 Source Aug 28, 2015

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