RapidIconGen

中文版本

RapidIconGen is a tool designed for mass production scenarios that enables one-click generation of multi-size, multi-language icons. After configuration, the tool automates icon generation and creates a preview image for easy review of the final results.

Features

• Supports batch generation of multi-size, multi-language icons.
• Selectively applies masks based on CSV data.
• Automatically generates a preview image after creating icons.
• Manages language, size, and text frame configurations through \modules\config_loader.py.

Prerequisites

• Python 3.x
• Required Python libraries:
  • PIL (Pillow)
  • os
  • csv

Usage

1. Clone the repository

   git clone https://github.com/xxeye/RapidIconGen.git

2. Install Pillow

   Since this project uses Pillow for image processing, please install the Python library using the following command:

   pip install Pillow

3. Prepare the data

   Place all image resources, text_data.csv, project numbers, and the mask configuration file prefix_mask_data.csv in the corresponding asset directories, ensuring the file structure matches the project requirements.

4. Run the script

   The script will prompt you to select a folder containing the assets and CSV files. Once processing is complete, it will generate the icons and a preview image.

   python main.py

Project Resources

The project includes two resource folders, "RhythmMirage" and "RhythmMirage_B," for testing and viewing the necessary data structure.

==Notice== The test folder included in this project contains font files. These font files are provided for testing purposes only and are not created or owned by this project. Please do not use these font files for commercial purposes or any other non-testing purposes. For official use, please refer to the original licensing terms of the fonts.

Output

• Two folders will be generated: nas_data_list"_"ENU_text and dataset_name_layers.
• Icons of various sizes will be saved in the "nas_data_list"_"ENU_text"/ICON/PNG directory within the selected folder.
• The layers used during the drawing process will be retained in dataset_name_layers.
• A preview image ("dataset_name"_Preview.png) will also be saved for quickly viewing the generated icons.

Preview

Here’s the preview of the generated icons:

License

This project is licensed under the MIT License. See the LICENSE file for details.