Image Tagger with Tag Autocomplete

This project provides a GUI for viewing images, editing associated text files, and using tag autocomplete functionality.

Features

View images and edit associated text files
Tag autocomplete using various tag sources
Automatic download of missing tag files - Big thanks to DominikDoom (https://github.com/DominikDoom) the tags files are from a1111-sd-webui-tagcomplete, which is licensed under the MIT License.

Requirements

Python 3.7+
Pillow (PIL)
tkinter
requests

Installation

Clone this repository:

git clone https://github.com/yourusername/your-repo-name.git
cd your-repo-name

(Optional) Create and activate a virtual environment:

Using venv:

python -m venv env
source env/bin/activate  # On Windows use `env\Scripts\activate`

Using conda:

conda create --name dataset-editor-env python=3.7
conda activate dataset-editor-env

Install the required packages:
```
pip install -r requirements.txt
```

Usage

Run the script:
```
python edit-dataset.py
```
On the first run, the script will automatically download necessary tag files.
Use the GUI to navigate through images, edit text, and use tag autocomplete.

Note

The tag files are not included in this repository and will be downloaded automatically when needed.
Big thanks to DominikDoom (https://github.com/DominikDoom) the tags files are from a1111-sd-webui-tagcomplete, which is licensed under the MIT License.
If you want to use your own tag files, place them in a tags folder in the project directory.

Project Structure

Your project should be organized as follows:

your-project-folder/
│
├── image_tagger.py  # Your main script
├── .gitignore
├── config.json # This file will be created by the script
├── README.md
├── requirements.txt
└── tags/  # This folder will be created by the script