ironmanMA

Adaptive Streaming has become the neccessity for streaming video and audio. Unfortantely, as of this post, there isn't a whole lot of tutorials that accumulate all of the steps to get this working. Hopefully this post achieves that. This post focuses on using Amazon Web Services (AWS) to transcode for HLS and DASH and be the Content Delivery Network (CDN) that delivers the stream to your web page. We'll be using Video.js for the HTML5 player as well as javascript support libaries to make Video.js work with HLS and DASH.

So Here's what you need:

• An AWS Account
• Video.js
• videojs-contrib-hls.min.js
• dash.all.min.js
• videojs-dash.min.js

Set up three S3 buckets

ironmanMA

Keybase proof

I hereby claim:

• I am ironmanMA on github.
• I am ironmanma (https://keybase.io/ironmanma) on keybase.
• I have a public key whose fingerprint is 226A 05C7 2046 14A5 D2D4 AC9D 53AE 087A 1589 AAB5

To claim this, I am signing this object:

ironmanMA

/*
run this on https://www.linkedin.com/mynetwork/invitation-manager/sent/

*/

setInterval(function() { jQuery('.mn-person-card__card-actions .mn-person-card__person-btn-ext')[0].click()}, 200);
setInterval(function() { window.scrollBy(0,500)}, 100);

ironmanMA

import random

__author__ = 'mohammad'

_memoization_map={}

def try_collatz(num):
    try:
        # print num
        if num == 1:

ironmanMA

#################################################################################
# Import modules
#################################################################################

import os
import time
import sys
import socket
import string

ironmanMA

How to install PhantomJS on Ubuntu

Version: 1.9.8

Platform: x86_64

First, install or update to the latest system software.

sudo apt-get update
sudo apt-get install build-essential chrpath libssl-dev libxft-dev

ironmanMA

{
  "Statement": [
    {
      "Sid": "AllowPublicRead",
      "Effect": "Allow",
      "Principal": {
        "AWS": "*"
      },
      "Action": "s3:GetObject",
      "Resource": "arn:aws:s3:::bucket_name_here/*"

ironmanMA

#!/usr/bin/env python

#-*- coding: utf-8 -*-

import urllib
import urllib2
import httplib
import json

ironmanMA

import sys, cv2

# Refactored https://realpython.com/blog/python/face-recognition-with-python/

def cascade_detect(cascade, image):
  gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
  return cascade.detectMultiScale(
    gray_image,
    scaleFactor = 1.15,
    minNeighbors = 5,

ironmanMA

#Create Group

# groupadd tomcat
# useradd -g tomcat -d /usrlocal/tomcat8 tomcat
# usermod -G www-data tomcat
# chown tomcat:tomcat /usrlocal/tomcat8 -R
# vim /etc/init.d/tomcat


#!/bin/sh