Rumit95 / Charaters_Generator_App

The Font Image Generator App creates diverse character images using various fonts, aiding in dataset creation for machine learning and analysis.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Font Image Generator App

The Font Image Generator App is a simple tool that allows you to create images of characters using various fonts. It's particularly useful for generating character datasets for machine learning or data analysis tasks.

Latest Release v0.1 Download

Features

  • Generate images of characters using different fonts.
  • Choose character sets: Capital Letters, Small Letters, and Numbers.
  • Select font sizes and image sizes.
  • Specify output directories for generated images.
  • Customize the application icon.

Usage

  1. Download and Install

    Download the Font Image Generator App executable from the releases section or build it using the provided Python script.

  2. Launch the App

    Double-click the executable file to launch the Font Image Generator App.

  3. Select Settings

    • Choose the font files you want to use.
    • Specify the character sets to generate images for.
    • Set font sizes and image sizes.
    • Choose output directories for the generated images.
  4. Generate Images

    Click the "Generate Images" button to start generating character images using the selected settings.

Dependencies

The Font Image Generator App is built using Python and the Tkinter library for the graphical user interface. You don't need to install any additional dependencies to run the provided executable.

Issues and Contributions

If you encounter any issues or have suggestions for improvements, please feel free to open an issue on the GitHub repository. Contributions are also welcome!

License

This project is licensed under the MIT License.

About

The Font Image Generator App creates diverse character images using various fonts, aiding in dataset creation for machine learning and analysis.

License:MIT License


Languages

Language:HTML 55.7%Language:TeX 43.9%Language:Python 0.4%