LaB_it (Labeling Tool)

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A modern labeling tool built with CustomTkinter, providing an intuitive GUI interface for easy image segmentation and analysis.

Key Features

• Intuitive GUI Interface
• Image Upload and Management
• Click-based Object Segmentation
• Segmentation Result Management
• Google Drive Integration

Installation

1. Create and Activate Virtual Environment

python -m venv .venv
# Windows
source .venv/Scripts/activate
# Linux/Mac
source .venv/bin/activate

2. Install Required Packages

pip install .

3. Set up Google Cloud Service Account

   1. Go to Google Cloud Console
   2. Create a new project or select an existing one
   3. Navigate to 'IAM & Admin' > 'Service Accounts' in the left menu
   4. Click 'Create Service Account'
   5. Enter service account name (e.g., lab-it-service)
   6. Click 'Create and Continue'
   7. Select role: Grant 'Editor' permission
   8. Click 'Done'
   9. Click on the created service account
   10. Select 'Keys' tab > 'Add Key' > 'Create New Key' > Select JSON
   11. Save the downloaded JSON file as service_account.json in the project root folder

4. Run the Application

python -m LaB_it

Project Structure

LaB_it/
├── LaB_it/
│   ├── annotations/     # Segmentation results
│   ├── assets/         # Images and resources
│   ├── dialog/         # UI modules
│   ├── tasks/          # Task-related modules
│   ├── __init__.py
│   ├── __main__.py     # Main entry point
│   ├── setting.py      # Icons, paths, colors configuration
│   └── app.py          # Main logic
├── .gitignore
├── README.md
├── requirements.txt    # Required packages
└── setup.py           # Installation configuration

Required Packages

• torch & torchvision: Deep learning framework
• customtkinter: Modern GUI interface
• opencv-python: Image processing
• google-api-python-client: Google Drive integration

References

• CustomTkinter

License

This project is licensed under the MIT License with Commons Clause - see the LICENSE file for details.

What is allowed

• Use the software for personal purposes
• Modify and distribute the code
• Use for educational and research purposes
• Integrate into non-commercial projects

What is not allowed

• Sell the software
• Provide paid services based on the software
• Commercial hosting of the software
• Paid consulting/support services related to the software

All modifications and distributions must include the original copyright and license notices.