- 4 nodes: Classical enhancement, Save 16-bit TIFF, ABCD, deepDeband - Classical methods: Bilateral+Dither, Gradient Domain, Multi-scale Fusion, Fast Edge-Aware - Deep learning: ABCD (3 models), deepDeband (2 variants) - Batch processing support - Comprehensive documentation Based on: - ABCD: https://github.com/WooKyoungHan/ABCD (CVPR 2023) - deepDeband: https://github.com/RaymondLZhou/deepDeband (ICIP 2022) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
28 lines
643 B
TOML
28 lines
643 B
TOML
[build-system]
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requires = ["setuptools>=61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "comfyui-bit-depth-enhancement"
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version = "0.1.0"
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description = "Classical bit-depth enhancement for professional cinematography workflows"
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requires-python = ">=3.9"
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dependencies = [
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"numpy>=1.24.0",
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"opencv-python>=4.8.0",
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"scipy>=1.11.0",
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"tifffile>=2023.0.0",
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"torch>=2.0.0"
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]
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[project.urls]
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repository = "https://github.com/subraoul/ComfyUI_Bit-Depth-Enhancer"
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[tool.setuptools.packages.find]
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include = ["bit_depth_enhancement*"]
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[tool.comfy]
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PublisherId = "raoul-ubuntu"
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DisplayName = "Bit Depth Enhancement"
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