2018d684ce
Implement five signal evaluators that feed PageClassifier::classify: - text_operator_presence: 0 text ops + has images -> Scanned 0.95 - all_tr3_with_full_page_image: all Tr=3 + image >= 95% -> BrokenVector 0.99 (EC-12) - image_coverage_fraction > 0.85 -> Scanned 0.85 - char_validity_rate < 0.4 -> BrokenVector 0.80 - char_validity_rate > 0.85 -> Vector 0.90 - char_density_ratio < 0.03 chars/in^2 -> Scanned 0.65 All thresholds centralized in SignalsConfig struct. PageContext includes all required fields for evaluation. Short-circuit classification at strength >= 0.95. Comprehensive unit tests for each evaluator. Closes: pdftract-22p |
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| .. | ||
| pdftract-cer-diff | ||
| pdftract-cli | ||
| pdftract-core | ||
| pdftract-libpdftract | ||
| pdftract-py | ||