voluntas

MQTT Meetup Tokyo 2014.08

概要

内容

jczaplew

#! /bin/bash

cd ~
curl "http://www.kyngchaos.com/files/software/frameworks/GDAL_Complete-1.11.dmg" -o "GDAL_Complete-1.11.dmg"
hdiutil mount GDAL_Complete-1.11.dmg
sudo installer -pkg /Volumes/GDAL\ Complete/NumPy.pkg -target /
sudo installer -pkg /Volumes/GDAL\ Complete/GDAL\ Complete.pkg -target /
diskutil unmount /Volumes/GDAL\ Complete
rm GDAL_Complete-1.11.dmg

tado

// Processing realtime FFT analysis
import processing.sound.*;

AudioIn input;
FFT fft;

int bands=512;
float[] spectrum = new float[bands];

public void setup() {

fukuchi

import processing.video.*;

Capture cam;
int[] noise;
int ticks = 0;

void setup() {
  size(640, 480);

  cam = new Capture(this, width, height, 30);

BobBurns

#!/usr/bin/php
<?php
/* websocket/device server program for raspberry pi
 * this program only deals with packets that are 125 bytes max
 * currently only one client can connect at a time. Maybe not a bad thing.
 * run as super user (for gpio access)
 * check out https://gist.github.com/BobBurns/6f83930912da4094f014 for the client html code

 * much of the juicy bits adapted from ghedipunk/PHP-Websockets
 * 

ahomu

Front-end with Node.js

Front-end with Node.js Tools // Speaker Deck

1. Package manager

• npm
• Bower
• npm とフロントエンドのパッケージ管理の未来 ::ハブろぐ
• The npm Blog — npm and front-end packaging

npm-config-shorthands.js

exports.shorthands =
  { s : ["--loglevel", "silent"]
  , d : ["--loglevel", "info"]
  , dd : ["--loglevel", "verbose"]
  , ddd : ["--loglevel", "silly"]
  , noreg : ["--no-registry"]
  , N : ["--no-registry"]
  , reg : ["--registry"]
  , "no-reg" : ["--no-registry"]
  , silent : ["--loglevel", "silent"]

phelrine

#!/bin/sh

mecab --node-format="%f[7] " | nkf -w --hiragana | sed 's/EOS//g'

kballenegger

NSString *const kCBLocationAtStartupString = @"startup";
// etc ...

typedef NS_ENUM(NSString *, CBLocation) {
    CBLocationAtStartup = kCBLocationAtStartupString,
    // etc.
};

- (void)showInterstitial:(CBLocation)location {
    NSString *locationString = (NSString *)location

daitomanabe

#neural-style with Cuda7.5 + cuDNN5 in EC2

• if you want to skip installing nvidia driver and cuda7.5, use this Ubuntu 14 AMI.
  https://aws.amazon.com/marketplace/pp/B01EYKBEQ0
  (Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN pre-installed with Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 4, TensorFlow, and Jupyter to leverage Nvidia GRID instances)
  g2.2xlarge or better (GPU instance)
  Don't forget to make your root partition size bigger.

• In case you want to install everything by yourself