Esa Kataja
e2f3e8fbdc
The pdf module is the whole of M1 except the debug overlay, which needs detection results to draw. Source type is detected per PDF by looking for a page-covering image, and is always reported for confirmation rather than applied silently (ADR 0004). Rasters are extracted via Pixmap(doc, xref) rather than by decoding extract_image() bytes, because MuPDF handles JBIG2 and CCITT scans that no image library will. Scanned pages are extracted at the embedded image's native resolution; only vector pages are rendered, at 600 DPI. Verified against the corpus: Elaman nalka (vector) renders 4959x7017, Ketun joululaulu (scan) loads 1653x2332, Engel (scan) 2552x3504 — and Engel's page 2 is 2480 wide where page 1 is 2552, so scan width varies within one PDF. tests/test_pdf.py builds its own PDFs so the check runs without corpus files, which are copyrighted and gitignored. Closes #1, #2, #3
20 lines
423 B
TOML
20 lines
423 B
TOML
[project]
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name = "noteman-slicer"
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version = "0.1.0"
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description = "Cuts score PDFs into noteman's slice images and markers"
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = [
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"pymupdf>=1.26",
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"numpy>=2.0",
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"opencv-python-headless>=4.10",
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"pyside6>=6.7",
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]
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[project.scripts]
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noteman-slicer = "noteman_slicer.cli:main"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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