Skip to main content

Image filtering suite for Vismantic

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
QualiPy-1.0.1-py2-none-any.whl (1.4 MB) Copy SHA256 hash SHA256 Wheel 2.7 Aug 28, 2015
QualiPy-1.0.1.tar.gz (1.4 MB) Copy SHA256 hash SHA256 Source None Aug 28, 2015

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page