| type,title,author,date,diffbotUri,email,estimatedDate,height,humanLanguage,naturalHeight,naturalWidth,numPages,originalType,pageUrl,phoneNumber,primary,resolvedPageUrl,siteName,specs.administrationbrenda_barnes,specs.alexander_borodin,specs.antonio_vivaldi,specs.bill_kappelman,specs.bill_lueth,specs.cliff_nielsen,specs.developmentminnie_prince,specs.engineering_and_operationsron_thompson,specs.francis_poulenc,specs.gail_eichenthal,specs.hosts,specs.info,specs.jaime_cisneros,specs.kelsey_mcconnell,specs.kuscorg,specs.lilly_lau,specs.mark_hatwan,specs.need_help,specs.nicole_coe,specs.nicole_massingale,specs.programmingbill_lueth,specs.rina_romero,specs.shauna_der,specs.steve_coghill,specs.steve_sevy,specs.susannah_hutchison,specs.underwritingcorporate_supportabe_shefa,specs.veronica_jimenez,text,twitter,url,width | |
| "article","Membership - Donate Your Car",,,"article|3|-1611848369",,,,"en",,,,,"http://www.kusc.org/donatecar",,,"http://www.kusc.org/donatecar/","KUSC",,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Do you have a vehic |
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
| const http = require('http'), | |
| fs = require('fs'), | |
| path = require('path'), | |
| contentTypes = require('./utils/content-types'), | |
| sysInfo = require('./utils/sys-info'), | |
| env = process.env; | |
| let server = http.createServer(function (req, res) { | |
| let url = req.url; | |
| if (url == '/') { |
Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.
This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would
| namespace :convert do | |
| # https://superuser.com/a/1145254 | |
| desc %Q{ ›› Convert from WAC to FLAC to 16-bit and 44.1 kHz. } | |
| task :low_res, [:wav, :flac] do |task, args| | |
| wav = args.wav | |
| flac = args.flac | |
| bit_rate = 16 | |
| sample_rate = 44100 | |
| sh %{ ffmpeg -i #{wav} -af aformat=s#{bit_rate}:#{sample_rate} #{flac} } | |
| end |
| --- | |
| AWSTemplateFormatVersion: '2010-09-09' | |
| Description: 'AWS CloudFormation Sample Template VPC_with_PublicIPs_And_DNS: Sample | |
| template showing how to create a VPC with DNS and Public IPs enabled. You will be | |
| billed for the AWS resources used if you create a stack from this template.' | |
| Parameters: | |
| KeyName: | |
| Description: Name of an existing EC2 KeyPair to enable SSH access to the bastion | |
| host | |
| Type: AWS::EC2::KeyPair::KeyName |
| #!/usr/bin/env ruby | |
| require "faker" | |
| require 'nokogiri' | |
| require File.join(File.dirname(__FILE__), 'lib', 'file_manager') | |
| class EmailUtil | |
| include FileManager | |
| NUM_OF_EMAILS = 5000 |
