limbicnation
9e5f034807
Fixes: - Restore optional face_output_format param (strip/individual) Invalid values (e.g. 'lbp') gracefully fallback to 'strip' with warning Fixes 'Value not in list' validation error from stale v1.x workflows - Restore optional padding param (legacy px-based, auto-converts to ratio) - Fix all_faces mode: detect_faces() now returns ALL faces, not just largest - Add VALIDATE_INPUTS to v1 wrapper for early invalid-value catching - Set OUTPUT_NODE=True on both v3 schema and v1 class - Fix _lock ClassVar type annotation syntax - Add _resolve_face_output_format() for centralized format validation - Proper strip/individual output handling in all_faces mode Packaging: - pyproject.toml: version 1.1.2 → 2.1.0, updated description and deps - Removed Pillow and torchvision (no longer used) - Bumped torch requirement to >=2.0.0 - Updated registry metadata (comfyui-manager-entry.json, node_list.json)
16 lines
697 B
TOML
16 lines
697 B
TOML
[project]
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name = "ComfyUI_FaceDetectionNode"
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description = "H100-optimized face detection with Auto-Padding, Temporal Smoothing, Aspect Ratio Presets, and full batch processing for LTX-Video avatar pipelines. Backward compatible with v1.x workflows."
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version = "2.1.0"
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license = {text = "Apache-2.0"}
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dependencies = ["opencv-python>=4.5.0", "torch>=2.0.0", "numpy>=1.21.0"]
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[project.urls]
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Repository = "https://github.com/Limbicnation/ComfyUI_FaceDetectionNode"
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# Used by Comfy Registry https://comfyregistry.org
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[tool.comfy]
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PublisherId = "limbicnation"
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DisplayName = "Face Detection and Crop v2"
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Icon = "https://raw.githubusercontent.com/Limbicnation/ComfyUI_FaceDetectionNode/main/icon.png"
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