A simple checkbox (okay, not so simple!!) made using css3. The inspiration came from https://dribbble.com/shots/580766-expswitch
Forked from Prateek Jadhwani's Pen expswitch.
A Pen by José Antonio Sánchez Reynaga on CodePen.
#! /usr/bin/env python | |
# See http://preshing.com/20130115/view-your-filesystem-history-using-python | |
import optparse | |
import os | |
import fnmatch | |
import time | |
# Parse options | |
parser = optparse.OptionParser(usage='Usage: %prog [options] path [path2 ...]') | |
parser.add_option('-g', action='store', type='long', dest='secs', default=10, |
s.h:40:11: fatal error: | |
'errno.h' file not found | |
# include <errno.h> | |
^ | |
1 error generated. |
A simple checkbox (okay, not so simple!!) made using css3. The inspiration came from https://dribbble.com/shots/580766-expswitch
Forked from Prateek Jadhwani's Pen expswitch.
A Pen by José Antonio Sánchez Reynaga on CodePen.
<!-- | |
This disables app transport security and allows non-HTTPS requests. | |
Note: it is not recommended to use non-HTTPS requests for sensitive data. A better | |
approach is to fix the non-secure resources. However, this patch will work in a pinch. | |
To apply the fix in your Ionic/Cordova app, edit the file located here: | |
platforms/ios/MyApp/MyApp-Info.plist | |
And add this XML right before the end of the file inside of the last </dict> entry: |
AntonioMacMachine:reaction joanzare$ reaction | |
Starting Reaction. | |
[[[[[ ~/projects/temp/georgieboy/reaction ]]]]] | |
=> Started proxy. | |
=> Started MongoDB. | |
/Users/joanzare/.meteor/packages/meteor-tool/.1.1.10.1b51q9m++os.osx.x86_64+web.browser+web.cordova/mt-os.osx.x86_64/dev_bundle/lib/node_modules/fibers/future.js:245 | |
throw(ex); | |
^ |
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
<!doctype html> | |
<html ng-app="app"> | |
<head> | |
<meta charset="utf-8"> | |
<title>WebApp</title> | |
<meta name="description" content=""> | |
<meta name="viewport" content="width=device-width"> | |
<!-- Place favicon.ico and apple-touch-icon.png in the root directory --> | |
<!-- build:css(.) styles/vendor.css --> |
http://guides.rubyonrails.org/migrations.html
"***************************************************************************** | |
"" NeoBundle core | |
"***************************************************************************** | |
if has('vim_starting') | |
set nocompatible " Be iMproved | |
" Required: | |
set runtimepath+=~/.config/nvim/bundle/neobundle.vim/ | |
endif |