27 lines
1.3 KiB
TOML
27 lines
1.3 KiB
TOML
# pyproject.toml
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[project]
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name = "colorimagedetection" # Unique identifier for your node. Immutable after creation.
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description = """
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A Python package for detecting whether images are colored or black and white using two different color spaces: RGB and LAB.
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The package includes two classes:
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- `ColorDetection`: Analyzes images in the RGB color space, calculating mean deviation from pixel color mean to determine color presence.
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- `LABColorDetection`: Analyzes images in the LAB color space, assessing color presence by analyzing differences between the A and B channels.
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Features:
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- Detects colored vs. black and white images.
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- Supports analysis of image tensors.
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- Adjustable thresholds for color detection.
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- Uses a percentage of highest deviations for more robust detection.
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- Efficient processing with PyTorch and OpenCV integration.
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"""
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version = "1.0.0" # Custom Node version. Must be semantically versioned.
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dependencies = [] # Filled in from requirements.txt
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[project.urls]
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Repository = "https://github.com/..."
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[tool.comfy]
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PublisherId = "drunreal" # TODO (fill in Publisher ID from Comfy Registry Website).
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DisplayName = "Color Image Detection" # Display name for the Custom Node. Can be changed later.
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Icon = "https://www.mws.biz/wp-content/uploads/2021/02/cropped-MWSoftwareFavicon-1-180x180.png" # SVG, PNG, JPG or GIF (MAX. 800x400px)
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