Ian Dees iandees

My goal here was the create a routable graph for Chicago.

I used Ubuntu 12.04LTS on an m2.4xlarge just to be sure memory wasn't too much of an issue.

Install

Start a screen session and start downloading an OSM extract (I used this extract of Illinois). In another screen I did the following:

  sudo apt-get update && sudo apt-get upgrade -y

sudo apt-get -y install git make cmake build-essential \

I've been interested in computer vision for a long time, but I haven't had any free time to make any progress until this holiday season. Over Christmas and the New Years I experimented with various methodologies in OpenCV to detect road signs and other objects of interest to OpenStreetMap. After some failed experiments with thresholding and feature detection, the excellent /r/computervision suggested using the dlib C++ module because it has more consistently-good documentation and the pre-built tools are faster.

After a day or two figuring out how to compile the examples, I finally made some progress:

Compiling dlib C++ on a Mac with Homebrew

Clone dlib from Github to your local machine:

Direction Code	Expanded Full Text	Directional Abbreviation	Spanish	Translation
11	North	N
12	South	S
13	East	E
14	West	W
15	Northeast	NE
16	Northwest	NW
17	Southeast	SE
18	Southwest	SW
19	Norte	N	Y	North

	{
	"rows": [
	{
	"column_title": "Total:",
	"line_number": 1,
	"table_id": "B01001A",
	"indent": 0,
	"column_id": "B01001A001"
	},
	{

	14000US27053005901
	14000US27053104800
	14000US27053104900
	14000US27053105400
	14000US27053125600
	14000US27053126100
	14000US27053126200
	14000US27123031900
	14000US27123032000
	14000US27123032100

	#!/bin/bash

	# works with a file called VERSION in the current directory,
	# the contents of which should be a semantic version number
	# such as "1.2.3"

	# this script will display the current version, automatically
	# suggest a "minor" version update, and ask for input to use
	# the suggestion, or a newly entered value.

	import unicodecsv
	import argparse
	import sys
	import simplejson as json
	from shapely import wkt
	from shapely.geometry import mapping
	import shapely.speedups
	shapely.speedups.enable()

	parser = argparse.ArgumentParser()

	<html>
	<body>
	<iframe frameBorder="0" width="300" height="300" src="data:text/html;base64,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