Sardor Muminov muminoff

#neural-style Installation

This guide will walk you through the setup for neural-style on AWS.

Step 1: Install torch7

First we need to install torch, following the installation instructions here:

g2.2xlarge or better

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[Abstraction without overhead: traits in Rust] (http://blog.rust-lang.org/2015/05/11/traits.html)

A brief description of streaming protocols and formats here

	# "Colorizing B/W Movies with Neural Nets",
	# Network/Code Created by Ryan Dahl, hacked by samim.io to work with movies
	# BACKGROUND: http://tinyclouds.org/colorize/
	# DEMO: https://www.youtube.com/watch?v=_MJU8VK2PI4
	# USAGE:
	# 1. Download TensorFlow model from: http://tinyclouds.org/colorize/
	# 2. Use FFMPEG or such to extract frames from video.
	# 3. Make sure your images are 224x224 pixels dimension. You can use imagemagicks "mogrify", here some useful commands:
	# mogrify -resize 224x224 *.jpg
	# mogrify -gravity center -background black -extent 224x224 *.jpg

	#!/usr/bin/env python3
	#
	# A pre-commit hook to verify PEP8 conformity using flake8
	# and to run all available unit tests

	import subprocess
	import sys
	import os
	import glob

	Start a g2.2xlarge or better (GPU instance) with https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-ffba7b94

	Login, username is ubuntu

	Update a bunch of stuff and make sure cudnn R2 is used:

	luarocks install image
	luarocks install loadcaffe
	luarocks install torch
	export LD_LIBRARY_PATH=/home/ubuntu/torch-distro/install/lib:/home/ubuntu/torch-distro/install/lib:/home/ubuntu/cudnn-6.5-linux-x64-v2-rc2

	var io = require('socket.io-client')("http://localhost:3001")
	var Promise = require("bluebird")
	io.emitAsync = Promise.promisify(io.emit)

	io.emitAsync("report", {
	"name": "thomas"
	}).then(function(data){
	console.log(data)
	}).catch(function(e){
	console.log(e.message)