Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 2 Minute(s)
Language
English
Taught by
Loony Corn
Rating
1 views
Course Overview
A truly unusual technology - the power of machine learning for automating unusual stuff
SikuliX is very unusual - a scripting/automation technology that relies on pattern matching, and is available for use via Python or Java. Developed at the User Interface Design Group at MIT, is a powerful and easy-to-use technology that uses image recognition to automate just about anything that appears on-screen.
Sikuli is rather hard to slot - it offers all of the functionality of an automation or scripting tool, but it also offers some powerful and very novel image-matching functionality for truly novel use-cases that revolve around image search. In addition it has an OCR-mode, in which image matches are performed after converting those image patterns to text. This gives rise to some pretty new applications.
The OCR-functionality is powered by Tesseract, an open-source optical character recognition engine whose development is sponsored by Google.
Course Content
- 6 section(s)
- 32 lecture(s)
- Section 1 Introduction
- Section 2 Getting Stuff Done
- Section 3 Language Constructs
- Section 4 More Language Constructs
- Section 5 Sikuli and Java
- Section 6 Unusual Use-cases and Smart Sikuli
What You’ll Learn
- Automate data-pulls from sites and sources that block other scripting tools
- Generate alerts based on Facebook/Skype and other hard-to-detect events
- Search large PDFs for images that "look like" the one you are searching for
Skills covered in this course
Reviews
-
MMatthew Lawrence
Very interesting technology and well explained. From a personal perspective, I was after more content on Selenium with Sikuli, and there was just the one lecture. Thanks
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AAntonio da Costa Carvalho
ok
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AAlessandro Mortari
Por enquanto sim.
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RRicardo Pereira de Andrade
Muito bom! Porem faltou uma aula ensinando a instalar o OpenCv e o Tesseract, pois alguns computadores que não são windows 10 ou superior não conseguem usar o OCR.
