Skip to content
This repository

Like walking, but with paper.

This branch is 0 commits ahead and 632 commits behind master

Fetching latest commit…

Octocat-spinner-32-eaf2f5

Cannot retrieve the latest commit at this time

Octocat-spinner-32 decoder
Octocat-spinner-32 site
Octocat-spinner-32 .gitignore
Octocat-spinner-32 .gitmodules Ditching ModestMaps submodule because it can now be cleanly installed… April 18, 2011
Octocat-spinner-32 INSTALL
Octocat-spinner-32 LICENSE Added GPL finally March 07, 2010
Octocat-spinner-32 README
Octocat-spinner-32 atlas-westoak.json
README
Paperwalking is the codebase behind http://walking-papers.org.
Copyright (C) 2009-2010, Michal Migurski <mike@stamen.com>

See INSTALL for a guide to installing Paperwalking.

This program is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free Software
Foundation; either version 2 of the License, or (at your option) any later
version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE.  See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with
this program; if not, write to the Free Software Foundation, Inc., 51 Franklin
Street, Fifth Floor, Boston, MA 02110-1301 USA.

There are two main components here.

1. Site

The user-facing website is written in PHP and MySQL, and has been developed
to work adequately well in a commodity shared hosting environment, such as
the Pair.com "webmaster" account I use to host Walking Papers.

2. Decoder

The ugly math bits are done in an offline process that consumes a queue
of freshly-scanned images from the main site, runs them through the
image-recognition algorithm, and posts back georectified image tiles
for editing. You can run a bunch of these in parallel to make jobs go
faster, and they should be perfectly fine on small EC2 instances or
a box plugged into plain old residential DSL.

It's worth mentioning that the image recognition part of the work relies
on a patented algorithm called SIFT:
    http://en.wikipedia.org/wiki/Scale-invariant_feature_transform
Something went wrong with that request. Please try again.