# pyproject.toml
[project]
name = "colorimagedetection" # Unique identifier for your node. Immutable after creation.
description = """
A Python package for detecting whether images are colored or black and white using two different color spaces: RGB and LAB. 
The package includes two classes: 
- `ColorDetection`: Analyzes images in the RGB color space, calculating mean deviation from pixel color mean to determine color presence.
- `LABColorDetection`: Analyzes images in the LAB color space, assessing color presence by analyzing differences between the A and B channels.

Features:
- Detects colored vs. black and white images.
- Supports analysis of image tensors.
- Adjustable thresholds for color detection.
- Uses a percentage of highest deviations for more robust detection.
- Efficient processing with PyTorch and OpenCV integration.
"""
version = "1.0.0" # Custom Node version. Must be semantically versioned.
dependencies  = [] # Filled in from requirements.txt

[project.urls]
Repository = "https://github.com/..."

[tool.comfy]
PublisherId = "drunreal" # TODO (fill in Publisher ID from Comfy Registry Website).
DisplayName = "Color Image Detection" # Display name for the Custom Node. Can be changed later.
Icon = "https://www.mws.biz/wp-content/uploads/2021/02/cropped-MWSoftwareFavicon-1-180x180.png" # SVG, PNG, JPG or GIF (MAX. 800x400px)