m1_4kandClaude Sonnet 4.6
a46d9b3796
- k-space (Fourier-domain) random subsampling (10% default) - ISTA reconstruction with TV (Chambolle) regularisation - Sampling patterns: variable_density (MRI-style) and uniform - Adjoint operator verified to machine epsilon - scikit-image TV denoiser with pure-NumPy Chambolle fallback Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
18 lines
456 B
Python
18 lines
456 B
Python
"""
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ComfyUI Custom Node: Compressed Sensing Reconstruction
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======================================================
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Install: copy this folder into ComfyUI/custom_nodes/
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"""
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from .nodes import CompressedSensingNode
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NODE_CLASS_MAPPINGS = {
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"CompressedSensing": CompressedSensingNode,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"CompressedSensing": "Compressed Sensing (10% Random Sampling)",
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}
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__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
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