Jack Armitage jarmitage

Encoding to Hap from the command line using FFmpeg

For users who prefer working with a command line or need to access advanced encoding settings for Hap the popular FFmpeg library can be used to work with Hap movies.

If this is your first time using FFmpeg you may need to install it on your system, or compile it from source. In either case be sure that Snappy is enabled as part of the binary. If you already have FFmpeg on your system with Snappy enabled, you can skip this step.

You can check that your version of FFmpeg can encode Hap using
```
ffmpeg -encoders | grep hap
```

This document has moved!

It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.

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

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

	#!/bin/sh

	# Update: As of March 24th 2017 this script won't work.
	# The script at https://get.haskellstack.org/ is broken
	# because the binary of Stack 1.4 for ARM is missing from https://www.stackage.org/stack/ .
	# You can still get the binary for Stack 1.3.2 from
	# https://github.com/commercialhaskell/stack/releases/download/v1.3.2/stack-1.3.2-linux-arm.tar.gz
	# and place it at $USR_LOCAL_BIN/stack in your system.
	# Once Stack is installed you can proceed with the Install LLVM step

	/****************************************************************************/
	/* AM335x_PRU.cmd */
	/* Copyright (c) 2015 Texas Instruments Incorporated */
	/* */
	/* Description: This file is a linker command file that can be used for */
	/* linking PRU programs built with the C compiler and */
	/* the resulting .out file on an AM335x device. */
	/****************************************************************************/

	-cr /* Link using C conventions */

	/*
	* render.cpp
	*
	* Created on: Oct 24, 2014
	* Author: parallels
	*/

	#include <Bela.h>
	#include <DigitalChannelManager.h>
	#include <cmath>

	/*
	____ _____ _ _
	\| __ )\| ____\| \| / \
	\| _ \\| _\| \| \| / _ \
	\| \|_) \| \|___\| \|___ / ___ \
	\|____/\|_____\|_____/_/ \_\

	The platform for ultra-low latency audio and sensor processing

	http://bela.io

	/*
	I've only tested this with http://codethemicrobit.com in Chrome, but it should work in other browsers
	Paste the JS below into the Chrome Developer Tools Console and hit enter
	It will then open the generated PNG file in a new tab, from where it can be copied/saved
	Based on https://gist.github.com/acbart/dcda677555e97b59c1c91554270dc80b, with adaptations for styling
	and output format
	*/

	//By default the image will be rendered at the same resolution as your display, but if you increase
	//this value you can render a much higher resolution image, which looks better on high density displays

	{-# LANGUAGE NoMonomorphismRestriction #-}
	{-# LANGUAGE FlexibleContexts #-}
	{-# LANGUAGE GADTs #-}
	{-# LANGUAGE ScopedTypeVariables #-}

	module DiagramsTidal where

	import Sound.Tidal.Pattern hiding (square)
	import Sound.Tidal.Time
	import Sound.Tidal.Utils