nfedyashev

# 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)

nfedyashev

Exception
  NoMemoryError
  ScriptError
    LoadError
    NotImplementedError
    SyntaxError
  SignalException
    Interrupt
  StandardError
    ArgumentError

nfedyashev

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

nfedyashev

From a3f0b363e4e943dd8d15a1b097822a81c86e9b82 Mon Sep 17 00:00:00 2001
From: Nikita Fedyashev <loci.master@gmail.com>
Date: Sun, 22 Jul 2012 00:04:47 +0600
Subject: [PATCH] Remove autotest dependency

---
 autotest/discover.rb |    2 --
 retryable.gemspec    |    1 -
 2 files changed, 3 deletions(-)
 delete mode 100644 autotest/discover.rb

nfedyashev

class ApplicationController < ActionController::Base
  before_filter :skip_strong_parameters, :if => :rails_admin_path?

  def skip_strong_parameters
    params.select { |key, value| params[key].kind_of?(ActionController::Parameters) }.map { |key, value| params[key].permit! }
  end

  privaate

    def rails_admin_path?

nfedyashev

#!/usr/bin/env bash
apt-get -y update
apt-get -y install build-essential zlib1g-dev libssl-dev libreadline5-dev libyaml-dev
cd /tmp
wget ftp://ftp.ruby-lang.org/pub/ruby/1.9/ruby-1.9.3-p194.tar.gz
tar -xvzf ruby-1.9.3-p194.tar.gz
cd ruby-1.9.3-p194/
./configure --prefix=/usr/local
make
make install

nfedyashev

#Usage: heroku_run 'rake db:migrate' veeqo-staging
function heroku_run() {
  buffer_file=/tmp/last_heroku_run_`date +%N`
  heroku run "$1; echo \$?" --app $2 2>&1 | tee $buffer_file
  return `tail -1 $buffer_file`
}

nfedyashev

# Disable NewRelic pinging
curl https://heroku.newrelic.com/accounts/xxxxx/applications/yyyyyyyy/ping_targets/disable -X POST -H "X-Api-Key: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
heroku maintenance:on --app yourapp-staging
heroku pg:reset DATABASE --confirm yourapp-staging --app yourapp-staging
heroku pgbackups:restore DATABASE `heroku pgbackups:url --app yourapp-production` --app yourapp-staging --confirm yourapp-staging
git remote add heroku_yourapp-staging git@heroku.com:yourapp-staging.git
git push heroku_yourapp-staging $COMMIT_ID:master -f
heroku_run 'rake db:migrate' yourapp-staging
heroku restart --app yourapp-staging
heroku maintenance:off --app yourapp-staging

nfedyashev

Keybase proof

I hereby claim:

• I am nfedyashev on github.
• I am nfedyashev (https://keybase.io/nfedyashev) on keybase.
• I have a public key ASDinTHZ0p1CqRzPQVphLzIPY6iqBCZ1G0BbtuDhHj0TRQo

To claim this, I am signing this object:

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