Add pyproject.toml and requirements.txt for ColorImageDetection package

.github/workflows/publish_action.yml

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+name: Publish to Comfy registry
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    paths:
+      - "pyproject.toml"
+
+jobs:
+  publish-node:
+    name: Publish Custom Node to registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+      - name: Publish Custom Node
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }} ## Add your own personal access token to your Github Repository secrets and reference it here.

pyproject.toml

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+# 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)

requirements.txt

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+numpy
+torch
+opencv-python