hfeeki

#!/bin/bash
# installing oracle jdk6/7  on ubuntu's

sudo apt-get install -y python-software-properties

sudo add-apt-repository ppa:webupd8team/java
sudo apt-get update

sudo apt-get install -y oracle-java6-installer
sudo apt-get install -y oracle-java7-installer

hfeeki

import cv2
import cv2.cv as cv


def detect(img, cascade_fn='haarcascades/haarcascade_frontalface_alt.xml',
           scaleFactor=1.3, minNeighbors=4, minSize=(20, 20),
           flags=cv.CV_HAAR_SCALE_IMAGE):

    cascade = cv2.CascadeClassifier(cascade_fn)
    rects = cascade.detectMultiScale(img, scaleFactor=scaleFactor,

hfeeki

# Installing OpenCV python libs on mac to work with virtualenv
# OpenCV  2.4.3
# Python 2.7.3 installed with brew

# assuming you have virtualenv, pip, and python installed via brew
# assuming $WORKON_HOME is set to something like ~/.virtualenvs

# using homebrew - make sure we're current
brew update

philipcristiano

import sys

from PIL import Image, ImageDraw

try:
    import cv
except ImportError:
    print 'Could not import cv, trying opencv'
    import opencv.cv as cv

mike-zhang

/*
File      : udpProxyServer.cpp
Author    : Mike
E-Mail    : Mike_Zhang@live.com
*/
#include <cstdlib>
#include <cstddef>
#include <iostream>
#include <string>
#include <boost/shared_ptr.hpp>

minikomi

package main

import (
	"fmt"
	"net/http"
)

func broadcaster(in chan chan string, out chan chan string, listen chan string) {
	chans := map[chan string]bool{}
	for {

koostudios

# Variables
exp = require 'express'
app = exp.createServer()
pass = require 'passport'
BrowserID = require('passport-browserid').Strategy	

# Passport Serialize and Deserialize Functions
pass.serializeUser (user, done) ->
	done null, user.email

codysoyland

#!/bin/bash
# virtualenv-auto-activate.sh
# 
# Installation:
#   Add this line to your .bashrc or .bash-profile:
#
#       source /path/to/virtualenv-auto-activate.sh
#
#   Go to your project folder, run "virtualenv .venv", so your project folder
#   has a .venv folder at the top level, next to your version control directory.

klange

#! /usr/bin/env python

""" Convert an image (argv[1]) to an ANSI text string (xterm-256color)

Original readme from colortrans.py follows:

Nice long listing of all 256 colors and their codes. Useful for
developing console color themes, or even script output schemes.

Resources:

wardbekker

%% autoload all modules that are in the code:path() and reside in the user directory
%% put in ~/.erlang
[code:ensure_loaded(list_to_atom(filename:rootname(filename:basename(F))))
 || P <- lists:filter(fun(Path) -> string:str(Path, os:getenv("USER")) > 0 end, code:get_path()), F <- filelib:wildcard(P ++ "/*.beam")].