pixeler 0.0.5

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Description:

pixeler 0.0.5

Pixeler

This project is a work-in-progress!
Human-like Automation and Screen Reading OCR for Python
Pixeler is a Python library that enables developers to create sophisticated automation bots capable of reading and
interacting with a user’s screen in a human-like manner.
By utilizing Optical Character Recognition (OCR) and Bézier curve-based mouse movements, Pixeler provides the tools
necessary for building bots that can perform tasks like identifying text on the screen, responding to UI changes, and
executing precise mouse interactions.
Features
OCR-Based Screen Reading: Accurately read and interpret text on the screen, enabling bots to understand what’s happening in real-time.
Human-like Mouse Movements: Simulate realistic, human-like mouse movements using Bézier curves to interact with UI elements naturally.
Window-Specific Targeting: Focus on specific windows based on their titles, allowing the bot to interact with the correct application.
Flexible Automation: Design bots that can respond to changes in the UI dynamically, making them adaptable to various applications.

Third-Party Setup

Install Tesseract
Add Tesseract install path to PATH environment variables

Installation
You can install Pixeler via pip:
pip install pixeler
Usage
import Pixeler.bot
Extend the bot
Create your own class extending the Pixeler Bot class:
class MyBot(Bot):
...

Initialize the bot
bot = MyBot(title="Target Application")

Examples
See the examples folder. There are plenty of scenarios represented here, from color tracking, screen reading, and Win32 overlays.
License
Pixeler is licensed under the MIT License. See the LICENSE file for more details.
Acknowledgments
pytesseract: For the powerful OCR capabilities.
OpenCV: For the robust computer vision tools.
PyAutoGUI: For providing easy-to-use cross-platform GUI automation tools.

Contact
For any inquiries, please contact [[email protected]].

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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