Valentino Constantinou vc1492a

## README.md

      
              2 files
            
          
              69 forks
            
          
              9 comments
            
          
              406 stars
            
          
                dannguyen
                / README.md
            
            
              Last active
              December 28, 2023 15:21
            
              
                Using Python 3.x and Google Cloud Vision API to OCR scanned documents to extract structured data
              
          
    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

  
## README.md

      
              6 files
            
          
              33 forks
            
          
              6 comments
            
          
              24 stars
            
          
                michellechandra
                / README.md
            
            
              Last active
              January 30, 2024 20:46
            
              
                Basic US State Map - D3
              
          
    My first D3 map showing my travel across the US. This visualization was built by modifying choropleth example code by Scott Murray, tooltip example code by Malcolm Maclean, and legend code example by Mike Bostock.

  
## clamav-mac.md

      
              1 file
            
          
              23 forks
            
          
              27 comments
            
          
              92 stars
            
          
                Uchean
                / clamav-mac.md
            
            
              Created
              December 9, 2015 23:36
            
              
                Get ClamAV running on Mac OS X (using Homebrew)
              
          
    Get ClamAV running on Mac OS X (using Homebrew)

The easiest way to get the ClamAV package is using Homebrew
$ brew install clamav

Before trying to start the clamd process, you'll need a copy of the ClamAV databases.
Create a freshclam.conf file and configure as so

  
## README.md

      
              1 file
            
          
              106 forks
            
          
              131 comments
            
          
              724 stars
            
          
                joyrexus
                / README.md
            
            
              Last active
              February 24, 2024 15:16
            
              
                collapsible markdown
              
          
    collapsible markdown?

CLICK ME

yes, even hidden code blocks!

print("hello world!")

  
## Apriori.py
#-*- coding:utf-8 - *-


def load_dataset():
    "Load the sample dataset."
    return [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]]


def createC1(dataset):
    "Create a list of candidate item sets of size one."

## box-shadow.html
<!DOCTYPE html>
<html>
	<head>
		<title>Box Shadow</title>

		<style>
			.box {
				height: 150px;
				width: 300px;
				margin: 20px;

## list.txt
a4b.amazonaws.com
access-analyzer.amazonaws.com
account.amazonaws.com
acm-pca.amazonaws.com
acm.amazonaws.com
airflow-env.amazonaws.com
airflow.amazonaws.com
alexa-appkit.amazon.com
alexa-connectedhome.amazon.com
amazonmq.amazonaws.com

## simple-pagination.js
// Implementation in ES6
function pagination(c, m) {
    var current = c,
        last = m,
        delta = 2,
        left = current - delta,
        right = current + delta + 1,
        range = [],
        rangeWithDots = [],
        l;

## main.js
/*
This script attempts to identify all CSS classes mentioned in HTML but not defined in the stylesheets.

In order to use it, just run it in the DevTools console (or add it to DevTools Snippets and run it from there).

Note that this script requires browser to support `fetch` and some ES6 features (fat arrow, Promises, Array.from, Set). You can transpile it to ES5 here: https://babeljs.io/repl/ .

Known limitations:
- it won't be able to take into account some external stylesheets (if CORS isn't set up)
- it will produce false negatives for classes that are mentioned in the comments.

## iterm2-solarized.md

      
              2 files
            
          
              1622 forks
            
          
              492 comments
            
          
              8796 stars
            
          
                kevin-smets
                / iterm2-solarized.md
            
            
              Last active
              May 3, 2024 12:59
            
              
                iTerm2 + Oh My Zsh + Solarized color scheme + Source Code Pro Powerline + Font Awesome + [Powerlevel10k] - (macOS)
              
          
    Default


Powerlevel10k
	#-- coding:utf-8 - -


	def load_dataset():
	"Load the sample dataset."
	return [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]]


	def createC1(dataset):
	"Create a list of candidate item sets of size one."
	<!DOCTYPE html>
	<html>
	<head>
	<title>Box Shadow</title>

	<style>
	.box {
	height: 150px;
	width: 300px;
	margin: 20px;
	a4b.amazonaws.com
	access-analyzer.amazonaws.com
	account.amazonaws.com
	acm-pca.amazonaws.com
	acm.amazonaws.com
	airflow-env.amazonaws.com
	airflow.amazonaws.com
	alexa-appkit.amazon.com
	alexa-connectedhome.amazon.com
	amazonmq.amazonaws.com
	// Implementation in ES6
	function pagination(c, m) {
	var current = c,
	last = m,
	delta = 2,
	left = current - delta,
	right = current + delta + 1,
	range = [],
	rangeWithDots = [],
	l;
	/*
	This script attempts to identify all CSS classes mentioned in HTML but not defined in the stylesheets.

	In order to use it, just run it in the DevTools console (or add it to DevTools Snippets and run it from there).

	Note that this script requires browser to support `fetch` and some ES6 features (fat arrow, Promises, Array.from, Set). You can transpile it to ES5 here: https://babeljs.io/repl/ .

	Known limitations:
	- it won't be able to take into account some external stylesheets (if CORS isn't set up)
	- it will produce false negatives for classes that are mentioned in the comments.