fatbitx / SikuliX1

SikuliX version 1.1.4+ (2018+)

Home Page:https://raiman.github.io/SikuliX1

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RaiMan's Stuff SikuliX 1.1.4

What is SikuliX 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 and can act on them with mouse and keyboard actions. 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. More details

Build Status

Since version 2 is still in a very experimental stage and needs a complete revision, I thought, that it might be the time, to implement some of the version-2-ideas into the current version 1.

Major changes and enhancements

  • latest OpenCV 3.x and everything at the Java level
  • support for transparency
  • revision of the text/OCR feature now based on Tess4J (wrapper around latest Tesseract 3.x)
  • packaging reduced to downloadable, ready-to-use API and IDE jars (bye, bye Setup ;-)
  • revision of the IDE and its feature implementations

Be aware This version is a developement version and currently only available as nightly build.

Here you can get the stuff

Here you can read more about the changes/enhancements

You need at least Java 8, but it works on Java 9, 10, 11 also

Developement is done on Java 11 now (OpenJDK release)


API SNAPSHOT on OSSRH

The repository URL:

<url>http://oss.sonatype.org/content/groups/public</url>

The coordinates are:

<groupId>com.sikulix</groupId>
<artifactId>sikulixapi</artifactId>
<version>1.1.4-SNAPSHOT</version>

Works out of the box for Mac and Windows

For Linux you have to make the prerequisites OpenCV and Tesseract ready (for HowTo look here)

About

SikuliX version 1.1.4+ (2018+)

https://raiman.github.io/SikuliX1

License:MIT License


Languages

Language:Java 69.2%Language:Python 28.5%Language:HTML 0.8%Language:JavaScript 0.5%Language:CSS 0.3%Language:Shell 0.2%Language:GAP 0.1%Language:C++ 0.1%Language:Objective-C 0.1%Language:Ruby 0.1%Language:RobotFramework 0.1%Language:Batchfile 0.0%