This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.
To capture the video (filesize: 19MB), using the free "QuickTime Player" application:
# coding=UTF-8 | |
from __future__ import division | |
import nltk | |
import re | |
import requests | |
# Add your freebase key here | |
# If you don't have one, register at https://code.google.com/apis/console | |
FREEBASE_KEY = "" |
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
/* | |
Example Facebook Messenger app that pulls the user's public profile and echoes back any messages sent | |
with the user's first and last name. | |
So if I sent the bot "Good morning!" it will reply to me with "Echoing message from Jeff Israel: Good morning!" | |
*/ | |
const bodyParser = require('body-parser'); | |
const crypto = require('crypto'); | |
const express = require('express'); |