ehrenfeu

#!/bin/sh
# Hurricane Electric IPv6 Tunnel Broker script for Ubuntu
# /etc/network/if-up.d/he-ipv6.sh

# Written by Jesse B. Hannah (http://jbhannah.net) <jesse@jbhannah.net>
# Based on instructions provided by Hurricane Electric (http://tunnelbroker.net)

###
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal

ehrenfeu

#!/bin/bash

# NOTE:
# first, start up the VM, log in and fill the free space with zeros, e.g.:
# > cat /dev/zero > zero.fill ; sync ; sleep 1 ; sync ; rm -f zero.fill

# exit on any error:
set -e

VBOX_BASEDIR="$HOME/VirtualBox_VMs"

ehrenfeu

#!/bin/bash
#

LIB="/storage/www/librarian/library"
DB="${LIB}/database/library.sq3"
TGT="/storage/pdf_export"

START_ID="4500"
STOP_ID="99999999"

ehrenfeu

#!/bin/bash
#

test -z "$1" && exit 1

# echo "$1"
FIXED=$(echo "$1" | iconv -f 437 -t utf8)
# echo "$FIXED"
if ! [ "$1" == "$FIXED" ] ; then
    mv -v "$1" "$FIXED"

ehrenfeu

XRES=180
YRES=32

convert -size ${XRES}x${YRES} \
    -background white \
    -fill black \
    -pointsize $YRES label:"$(date +%X)" \
    -colorspace gray \
    -compress none \
    -depth 8 PGM:- |

ehrenfeu

# Use local scikit-image
import sys
sys.path.insert(0, "/home/dan/University/projects/gsoc_face_detection/scikit-image/")

from skimage.feature import multiblock_local_binary_pattern
from skimage.transform import integral_image
import numpy as np
import skimage.io as io
import xml.etree.ElementTree as ET

ehrenfeu

This face-boxer.py script is more-or-less the same code that you'll find in the OpenCV tutorial: Face Detection using Haar Cascades. For another variation, with more explanation, check out RealPython's tutorial.

Usage

The face-boxer.py script is designed to be run from the command-line. It has two required arugments:

1. The path to a XML file containing a Haar-cascade of visual features. In this example, it will be the features that make up a face.
2. The path to an image file that you want to perform face-detection on. You can pass in more than one image file as space-separated arguments.

ehrenfeu

import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText

def send_html_mail(subject, body, to_addr, from_addr):
    """Send an HTML email using the given subject, body, etc."""

    # Create message container - the correct MIME type is multipart/alternative here!
    message = MIMEMultipart('alternative')
    message['subject'] = subject

ehrenfeu

#!/bin/sh

curl -c /tmp/curie.cookies -v -v -v -k -i \
    https://wifi.curie.fr/portal_degraded.php

curl -c /tmp/curie.cookies -v -v -v -k -i \
    -F action=automatic_authenticate -F secure_pwd= -F policy_accept=on \
    -F connect= --ignore-content-length -D /dev/stdout \
    https://wifi.curie.fr/portal_degraded.php

ehrenfeu