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Vagrant::Config.run do |config|
  config.vm.customize do |vm|
    vm.name = "PHP dev"
    vm.memory_size = 512
  end

  # Every Vagrant virtual environment requires a box to build off of.
  config.vm.box = "ubuntu32"

  # Assign this VM to a host only network IP, allowing you to access it

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#!/usr/bin/python

import re,urllib2,urllib

list_ids = ( '1', '2', '3')

url = 'https://<url>/<path>/file.php?id='

regex = '[0-9]{2}\/[0-9]{11}\-[0-9]'

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# Ignore everything in this directory
*
# Except this file
!.gitignore

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#!/bin/sh

##
# basic script to backup entire drive and backup securely
# backup a mysql database using lvm snapshot tool
##

# stop mysql
/usr/sbin/service mysql stop

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#!/bin/sh

# This script will migrate schema and data from a SQLite3 database to PostgreSQL.
# Schema translation based on http://stackoverflow.com/a/4581921/1303625.
# Some column types are not handled (e.g blobs).

SQLITE_DB_PATH=$1
PG_DB_NAME=$2
PG_USER_NAME=$3

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computer vision references

University courses

• https://www.comp.nus.edu/~cs4243/
• http://vlm1.uta.edu/~athitsos/courses/cse6367_spring2012/
• http://alumni.media.mit.edu/~maov/classes/vision09/index.html

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Setup de ambiente Ipython

Ambiente: Ubuntu 14.04

sudo apt-get install git  
sudo apt-get install python-scipy  
sudo apt-get install python-numpy  
sudo apt-get install python-skimage  
sudo apt-get install python-pandas  

sudo apt-get install python-opencv

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# images to hdf5
# https://groups.google.com/forum/#!topic/h5py/9sA18XbC_ao
# https://github.com/h5py/h5py/issues/268
import h5py
import numpy

def create_image_dataset(group, dataset_name, image, **kwargs):
    """

    Create a dataset respecting the HDF5 image specification

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