Zero To Mastery : Automation using Sikuli, Java and Selenium
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.44 GB | Duration: 3h 21m
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.44 GB | Duration: 3h 21m
Automate beyond thinking, Utilize the extraordinary strength of OpenCV library Tesseract OCR for automation
What you'll learn
Learn To Automate Standalone, Browser Applications Using Sikuli, Selenium and Java
Learn To Automate Virtual Machine, Eclipse IDE, Notepad Using Sikuli
Learn To Extract Text From Images, PDF Screenshots, Convert Video to Images
Automate Everyday Task Using Sikuli, Selenium
Automate Anything Visible On Your Computer Screen
Learn To Automate Usual Applications Like YouTube
Description
What you'll learn to automate below projects:
Project - Using selenium
Project - Using sikuli and selenium
Project - Automate web captcha using sikuli and selenium
Project - Automatic code refactor in Eclipse IDE using sikuli
Project - Empty recycle bin using sikuli
Project - Automate copy-paste operation
Project - Drag and drop using sikuli
Project - Draw in Microsoft paint using sikuli
Project - Extract date from an image using sikuli
Project - Capture region and extract the text using sikuli
Project - Extract text from web PDF screenshot using sikuli and selenium
Project - Find and get relative text
Project - Run program inside a virtual machine using sikuli
Project - Automatic code writer Eclipse IDE using sikuli
Project - Write the text in notepad using sikuli
Project - YouTube video to image convertor using sikuli and selenium
SikuliX automates anything you see on the screen of your desktop computer running Windows, Mac, or some Linux/Unix. It uses image recognition powered by OpenCV to identify GUI components. This is handy in cases when there is no easy access to a GUI's internals or the source code of the application or web page, you want to act on.
Tesseract OCR engine can be used directly or using an API to extract typed, handwritten, or printed text from images.
It supports various locales and fonts.
Who this course is for:
QA Automation engineers
Manual QA professionals who are looking to change their career in automation
Keen automation professionals who want to advance in their automation career
Who this course is for:
Beginner advanced software automation engineer, QA engineer, curious students, and professional who want to switch their career from manual testing to software automation field