Search Results for "page"

This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities.

Scan Tailor Experimental is an interactive post-processing tool for scanned pages. You give it raw scans, and you get pages ready to be printed or assembled into a PDF or DJVU file. Scanning, optical character recognition, and assembling multi-page documents are out of scope of this project.

A collection of synthesis, signal processing, and image processing objects originally authored by Dan Trueman and Luke Dubois. Pd port made by Olaf Matthes and help files ported by Martin Dupras. Fixed by Antoine Le Bras for APO33. http://apo33.org The official PeRColate web page can be found at: http://music.columbia.edu/PeRColate

...The above description and screenshots is for the version 1.0.0 (+), and the 1.0.0 version is still in development, it is not officially released, please do not use old versions of "files "page to download as version 1.0.0.

...Also included is a suite for variational light field analysis, which ties into the HCI light field benchmark set and givens reference implementations for a number of our recently published algorithms. *** NOTE: documentation on the SourceForge page is outdated and not updated anymore, please visit http://cocolib.net ***

...The programs are provided with the objective to enable researchers analyze their innovative algorithms and techniques and help users compare the quality of results of state of the art commercial High Level Synthesis tools available in industry. You can log in to our Youtube channel to watch some videos about S2CBench and SystemC in general www.youtube.com/DARClabify or visit our labs web page at www.utdallas.edu/~schaferb/darclab To know more about the designs and why they were included in the benchmark suite you can read the following academic paper: B. Carrion Schafer and A. Mahapatra, "S2CBench:Synthesizable SystemC Benchmark Suite for High-Level Synthesis ", IEEE Embedded Systems Letters, 2014

Linux based e-commerce server. Written entirely in perl, PostgreSQL database backend, page templates with HTML::Mason and image processing with ImageMagick.