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Trung Hoang truhoada

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truhoada / iOS URL Schemes
Created December 16, 2019 05:49 — forked from bartleby/iOS URL Schemes
iOS URL Schemes
URL Schemes
Apple
 
Apple Music     — music://geo.itunes.apple.com/us/albums/<albumID>
                – music://geo.itunes.apple.com/us/artists/<artistID>
 
Apple News      — applenews://
App Store       — itms-apps://itunes.apple.com/app/<appID>
Apple TV        — videos://
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truhoada / README.md
Created November 30, 2018 11:11 — forked from dannguyen/README.md
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