maxrice

<?php

/* From https://www.usps.com/send/official-abbreviations.htm */

$us_state_abbrevs_names = array(
	'AL'=>'ALABAMA',
	'AK'=>'ALASKA',
	'AS'=>'AMERICAN SAMOA',
	'AZ'=>'ARIZONA',
	'AR'=>'ARKANSAS',

roldershaw

#!/bin/bash

if [ -z "$1" ] || [ -z "$2" ] ; then
        echo "Usage: imsg [address] [message]"
else
        /usr/bin/osascript -e 'tell application "Messages"
        send "'"$2"'" to buddy "'"$1"'" of service "E:[email protected]"
        end tell'
        echo "Sent"
fi

kevin-smets

Default

Powerlevel10k

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






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dannguyen

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

llbbl

#!/bin/bash

echo 'update brew'

brew update

echo 'upgrade brew'

brew upgrade