Mark Thomson m-thomson

Installation commands:

$ wget http://redis.googlecode.com/files/redis-2.4.8.tar.gz
$ tar xvfz redis-2.4.8.tar.gz 
$ cd redis-2.4.8/
$ mkdir -p /opt/redis
$ make PREFIX=/opt/redis install
$ cp redis.conf /opt/redis/redis.conf
$ chown -R redis:redis /opt/redis

Option 1: Command-line download extension as zip and extract

extension_id=jifpbeccnghkjeaalbbjmodiffmgedin   # change this ID
curl -L -o "$extension_id.zip" "https://clients2.google.com/service/update2/crx?response=redirect&os=mac&arch=x86-64&nacl_arch=x86-64&prod=chromecrx&prodchannel=stable&prodversion=44.0.2403.130&x=id%3D$extension_id%26uc" 
unzip -d "$extension_id-source" "$extension_id.zip"

Thx to crxviewer for the magic download URL.

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

Creating a redis Module in 15 lines of code!

A quick guide to write a very very simple "ECHO" style module to redis and load it. It's not really useful of course, but the idea is to illustrate how little boilerplate it takes.

Step 1: open your favorite editor and write/paste the following code in a file called module.c

#include "redismodule.h"
/* ECHO <string> - Echo back a string sent from the client */
int EchoCommand(RedisModuleCtx *ctx, RedisModuleString **argv, int argc) {

	<?php

	# If you haven't played around with WordPress much and you're trying to find out what
	# exactly this "category object" thing that's referenced in many places is. You might
	# look for a category table in the database for some clues, but there isn't one. That's
	# because WordPress uses "terms" to handle both categories and tags, each of which are
	# "taxonomies". Looking in those tables will give you want you want, or you could just
	# print a category object.
	#
	# More info: http://codex.wordpress.org/WordPress_Taxonomy

	// This gist is now maintained on github at https://github.com/luetkemj/wp-query-ref

	<?php
	/**
	* WordPress Query Comprehensive Reference
	* Compiled by luetkemj - luetkemj.github.io
	*
	* CODEX: http://codex.wordpress.org/Class_Reference/WP_Query#Parameters
	* Source: https://core.trac.wordpress.org/browser/tags/4.9.4/src/wp-includes/query.php
	*/

	#!/bin/sh

	###
	# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
	# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
	###

	# Alot of these configs have been taken from the various places
	# on the web, most from here
	# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx

	<?php

	// Don't include the above.

	add_filter( 'genesis_get_image_default_args', 'prefix_stop_auto_featured_image' );
	/**
	* Stop Genesis archives from using first attached image as fallback when no featured image is set.
	*
	* @param array $args Default image arguments.
	*

	<?php

	/**
	* Set default fallback image
	* Modified from: https://gist.github.com/GaryJones/7070243
	* See: genesis\lib\functions\image.php
	*/
	add_filter( 'genesis_get_image_default_args', 'prefix_stop_auto_featured_image' );
	function prefix_stop_auto_featured_image( $args ) {
	if ( ! isset( $args['context'] ) /\|\| 'archive' !== $args['context']/ )

	# Add this to ~/.bash_profile or ~/.bashrc
	explain () {
	if [ "$#" -eq 0 ]; then
	while read -p "Command: " cmd; do
	curl -Gs "https://www.mankier.com/api/v2/explain/?cols="$(tput cols) --data-urlencode "q=$cmd"
	done
	echo "Bye!"
	elif [ "$#" -eq 1 ]; then
	curl -Gs "https://www.mankier.com/api/v2/explain/?cols="$(tput cols) --data-urlencode "q=$1"
	else