Nikita Fedyashev nfedyashev

Using 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

Conquering Kubernetes with Emacs

Specific Annoying workflow

Listing pods with kubectl get pods, then select a pod name and copy paste it into kubectl logs [pod name]

Why?

I want to streamline my workflow and stop using the terminal
learn more about kubernetes
main kubernetes extension for Emacs out there is greedy for permissions

	# Sandi Metz - Less - The Path to Better Design
	# http://vimeo.com/26330100
	# http://less-goruco.heroku.com/
	#
	# Abstractions are more stable than concretions.

	class Trip
	attr_reader :bicycles, :customers, :vehicle

	def prepare(preparers)

	require 'rubygems'
	require 'v8'
	require 'johnson'
	require 'ruby_parser'


	sexp=Johnson::Parser.parse %{
	var sum=function sum (x,y) {
	return x+y
	};

	# AWS specific install of Docker
	sudo yum update -y
	sudo yum install -y docker
	sudo service docker start
	sudo usermod -a -G docker ec2-user

	# exit the SSH session, login again

	# Docker
	docker run -d --hostname my-rabbit --name some-rabbit -p 4369:4369 -p 5671:5671 -p 5672:5672 -p 15672:15672 rabbitmq

	set :sync_directories, ["public/assets", "public/galleries"]
	set :sync_backups, 3