Features: - 40+ image processing algorithms - Traditional denoising: Wavelet, NLM, BM3D (GPU-accelerated) - AI models: DnCNN, SwinIR, SCUNet, NAFNet, Noise-DA - DeepInv diffusion denoising integration - Advanced film grain detection and processing - Frequency domain processing - Richardson-Lucy deconvolution - Wiener filter - External DeepInv service with FastAPI - Comprehensive documentation and guides
15 lines
334 B
Python
15 lines
334 B
Python
"""Command-line helper for downloading transformer lab assets."""
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from __future__ import annotations
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import sys
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try: # pragma: no cover
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from .bootstrap import cli
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except ImportError: # direct execution without package context
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from bootstrap import cli
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if __name__ == "__main__": # pragma: no cover
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sys.exit(cli())
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