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ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

Golang Workers / Job Queue

A running example of the code from:

This gist creates a working example from blog post, and a alternate example using simple worker pool.

TLDR: if you want simple and controlled concurrency use a worker pool.

Instructions for making a Neural-Style movie

The following instructions are for creating your own animations using the style transfer technique described by Gatys, Ecker, and Bethge, and implemented by Justin Johnson. To see an example of such an animation, see this video of Alice in Wonderland re-styled by 17 paintings.

Setting up the environment

The easiest way to set up the environment is to simply load Samim's a pre-built Terminal.com snap or use another cloud service like Amazon EC2. Unfortunately the g2.2xlarge GPU instances cost $0.99 per hour, and depending on parameters selected, it may take 10-15 minutes to produce a 512px-wide image, so it can cost $2-3 to generate 1 sec of video at 12fps.

If you do load the

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

Convolutional neural networks for emotion classification from facial images as described in the following work:

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015

Project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/

If you find our models useful, please add suitable reference to our paper in your work.

Pseudocode:

Y = Base64URLEncode(Header) + ‘.’ + Base64URLEncode(Payload)
JWT = Y + ‘.’ + Base64URLEncode(HMACSHA256(Y))

The steps called out here should work on a Mac as well. The only thing that might be different is the sed command used below. Instead of using -E, you will have to use -r to run sed with extended regular expression support

Use data from this tutorial:

scotch.io

Upstart script for DeepDetect

Create upstart config `/etc/init/deepdetect.conf`

description "DeepDetect"

start on filesystem or runlevel [2345]
stop on run level [!2345]

Installing openCV3 into pyenv virtual env

osx 10.11.6

--

install python-3:

$ pyenv install 3.5.2

	# -- coding: utf-8 --

	import asyncio
	import uvloop
	from aiohttp.web import Application, MsgType, WebSocketResponse


	def add_socket(app, socket, user_id):
	if user_id in app['connections']:
	pass

	#!/usr/bin/env python
	# encoding: utf-8

	import tornado.ioloop
	import tornado.web
	import tornado.log
	import tornado.httpserver
	from tornado.options import define, options
	import logging
	import tornado.gen

	sudo su

	# Java
	yum -y install java-1.8.0-openjdk-devel

	# Build Esentials (minimal)
	yum -y install gcc gcc-c++ kernel-devel make automake autoconf swig git unzip libtool binutils

	# Extra Packages for Enterprise Linux (EPEL) (for pip, zeromq3)
	yum -y install epel-release