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authorskal <pascal.massimino@gmail.com>2026-02-10 22:54:38 +0100
committerskal <pascal.massimino@gmail.com>2026-02-10 22:54:38 +0100
commit2adcf1bac1ec651861930eb2af00641eb23f6ef1 (patch)
tree2208b753b68783be5a26906b5bc1690c23a267d0 /src/tests/audio/test_window.cc
parent58f276378735e0b51f4d1517a844357e45e376a7 (diff)
docs: Update CNN training documentation with patch extraction
Streamlined and updated all training docs with new patch-based approach. Changes: - HOWTO.md: Updated training section with patch/full-image examples - CNN_EFFECT.md: Streamlined training workflow, added detector info - training/README.md: Complete rewrite with detector comparison table New sections: - Detector comparison (harris, fast, shi-tomasi, gradient) - Practical examples for different use cases - Tips for patch size and batch size selection - Benefits of patch-based training Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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