max-te

var http = require('http')
var fs = require('fs')
var argv = require('optimist').argv

var rxVideoID = /v=([\]\[!"#$%'()*+,.\/:;<=>?@\^_`{|}~-\w]*)/
var link = argv._.toString()
var videoID = link.match(rxVideoID)[1]

http.get("http://www.youtube.com/get_video_info?video_id="+videoID, function(res) {
  var chunks = []

guifromrio

How to: Allow Node to bind to port 80 without sudo

TL;DR

Only do this if you understand the consequences: all node programs will be able to bind on ports < 1024

sudo setcap 'cap_net_bind_service=+ep' /usr/local/bin/node

Important: your node location may vary. Use which node to find it, or use it directly in the command:

Pyrolistical

function map() {
	emit(1, {
		sum: this.value, // the field you want stats for
		min: this.value,
		max: this.value,
		count: 1,
		diff: 0
	});
}

dmh2000

#include <unistd.h>
#include <node.h>
#include <string.h>
#include <v8.h>

using namespace v8;

unsigned long long count = 0;

// native blocking/compute intensive function

Integralist

The three design patterns (Adapter, Facade and Bridge) all produce the result of a clean public API. The difference between the patterns are usually due to a subtle context shift (and in some cases, a behavioural requirement).

Adapter

The primary function of an Adapter is to produce a unified interface for a number of underlying and unrelated objects.

You will notice this pattern being utilised in many applications. For example, ActiveRecord (the popular Ruby ORM; object-relational mapping) creates a unified interface as part of its API but the code underneath the interface is able to communicate with many different types of databases. Allowing the consumer of the API to not have to worry about specific database implementation details.

The principle structure of this pattern is:

shihyuan

# Stream Video with OpenCV from an Android running IP Webcam (https://play.google.com/store/apps/details?id=com.pas.webcam)
# Code Adopted from http://stackoverflow.com/questions/21702477/how-to-parse-mjpeg-http-stream-from-ip-camera

import cv2
import urllib2
import numpy as np
import sys

host = "192.168.0.220:8080"
if len(sys.argv)>1:

titipata

Caffe Installation

Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link

###Installation

• verify all the preinstallation according to CUDA guide e.g.

lspci | grep -i nvidia

kevinlin311tw

Deep Learning of Binary Hash Codes for Fast Image Retrieval

name: Deep Binary Hash Codes CIFAR10

caffemodel: KevinNet_CIFAR10_48.caffemodel

caffemodel_url: https://www.dropbox.com/s/1om7xa8mz93wkzh/KevinNet_CIFAR10_48.caffemodel?d

gist_id: 266d4150a1db5810398e

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

kylemcdonald

Theory of Building Caffe on OS X

Introduction

Our goal is to run python -c "import caffe" without crashing. For anyone who doesn't spend most of their time with build systems, getting to this point can be extremely difficult on OS X. Instead of providing a list of steps to follow, I'll try to explain why each step happens.

This page has OS X specific install instructions.

I assume: