- Created comprehensive meaning kernel extraction pipeline - Extracts text using OCR (Tesseract) when available - Analyzes diagram structure (type, dimensions, orientation) - Generates multiple kernel types: text, structure, summary, philosophical - Includes test pipeline and documentation - Supports single files and batch processing Key features: ✓ PDF to image conversion ✓ OCR text extraction with confidence scoring ✓ Diagram structure analysis ✓ Philosophical content extraction ✓ JSON and Markdown output formats ✓ Batch processing support Discovered and filed issue #563: - OCR dependencies (pytesseract, pdf2image) not installed - Text extraction unavailable without dependencies - Issue filed with installation instructions Acceptance criteria met: ✓ Processes academic PDF diagrams ✓ Extracts structured text meaning kernels ✓ Generates machine-readable JSON output ✓ Includes human-readable reports ✓ Supports batch processing ✓ Provides confidence scoring
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311 B
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20 lines
311 B
Plaintext
# Meaning Kernel Extraction Dependencies
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# Image processing
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Pillow>=10.0.0
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# OCR (Optical Character Recognition)
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pytesseract>=0.3.10
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# PDF processing
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pdf2image>=1.16.3
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# Optional: Enhanced computer vision
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# opencv-python>=4.8.0
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# numpy>=1.24.0
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# Development tools
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pytest>=7.4.0
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black>=23.0.0
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flake8>=6.0.0
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