Jack Armitage jarmitage

Prerequisites

OSX
STLink v2

Installation

If you don't use homebrew, blindly type this into your terminal -

The introduction to Reactive Programming you've been missing

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

Encoding Video

Installing

Install FFmpeg with homebrew. You'll need to install it with a couple flags for webm and the AAC audio codec.

brew install ffmpeg --with-libvpx --with-libvorbis --with-fdk-aac --with-opus

Ashby chart for different group of materials. The comparison is between Young Modulus and Density.

It was done using D3.js.

Contributing

When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change.

Please note we have a code of conduct, please follow it in all your interactions with the project.

Pull Request Process

Ensure any install or build dependencies are removed before the end of the layer when doing a

Video stabilization using VidStab and FFMPEG

Examples here use the default settings, see the VidStab readme on GitHub for more advanced instructions.

Here's an example video I made

Install ffmpeg with the vidstab plugin from homebrew

brew install ffmpeg --with-libvidstab

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

	"""
	Turn a piano MIDI file into a basic 3D animated piano video.
	See the result here:


	I am leaving it as a script because it is not tested on enough MIDI files yet.

	Zulko 2014
	This script is released under a Public Domain (Creative Commons 0) licence.

	<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN"
	"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
	<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" dir="ltr">
	<head>
	<title><unifi txt="WelcomePage.Title" /></title>
	<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
	<link rel="stylesheet" type="text/css" href="<unifi url="reset-min.css"/>" />
	<link rel="stylesheet" type="text/css" href="<unifi url="styles.css"/>" />
	<script type="text/javascript" src="<unifi url="js/jquery.min.js"/>"></script>
	<script type="text/javascript" src="<unifi url="js/guest.js"/>"></script>