jedarden/pdftract

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Author	SHA1	Message	Date
jedarden	e6bf3dd290	feat(pdftract-3s2i): implement Phase 5.5.2 validation filter Implement per-word validation filter for assisted-OCR BrokenVector path. Changes: - Add SpanSource::OcrAssisted variant to hybrid.rs - Add Span::ocr_assisted() helper method - Implement validate_ocr_with_position_hints() in ocr.rs - 5pt distance threshold for position validation - 0.4 confidence cap for rejected words - Linear scan for nearest-neighbor lookup - Add unit tests for validation filter Closes: pdftract-3s2i Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-24 04:57:17 -04:00
jedarden	8037e67e82	feat(pdftract-3nwz): add borderless table detection benchmark - Add borderless detection benchmark to table_detection.rs - Verify < 10 ms performance requirement (achieved 1.56 ms for 5040 positions) - Confirm all unit tests pass for borderless detection - Borderless detection implementation already existed in detector.rs Acceptance criteria: - PASS: 3x3 borderless table detected via alignment heuristic - PASS: paragraph rejected; one-row pseudo-table rejected - PASS: vertical-gap test; 3-row 3-column borderless table accepted - PASS: Public API TableDetector::detect_borderless() exists - PASS: Performance < 10 ms on 5000-span page (measured 1.56 ms) Co-Authored-By: Claude Code <noreply@anthropic.com>	2026-05-23 22:30:06 -04:00
jedarden	4409eff058	feat(pdftract-88sk): fix 5x3 table test and add benchmark Fix the critical 5x3 bordered table test to match acceptance criteria (5 rows × 3 columns = row_ys.len() == 6, col_xs.len() == 4). Add missing unit tests: - test_detect_nested_rectangles: tests handling of nested rectangles - test_detect_disjoint_tables: tests detection of multiple disjoint tables Add Criterion benchmark for table detection performance. Results: ~772 µs for 1000 segments (well under 5 ms requirement). All 35 table module tests pass. Acceptance criteria: - ✅ Detector emits GridCandidate for every closed grid of >= 4 cells - ✅ Critical test: 5x3 bordered table with row_ys.len()==6, col_xs.len()==4 - ✅ Unit tests: single rectangle, nested rectangles, mixed text+rules, glyph-path noise - ✅ Public TableDetector::detect_line_based(&PageContext) -> Vec<GridCandidate> - ✅ Benchmark: < 5 ms on 1000-segment page Refs: pdftract-88sk, plan section 7.2 line 2571 Co-Authored-By: Claude Code <noreply@anthropic.com>	2026-05-23 21:40:57 -04:00

Author

SHA1

Message

Date

jedarden

e6bf3dd290

feat(pdftract-3s2i): implement Phase 5.5.2 validation filter

Implement per-word validation filter for assisted-OCR BrokenVector path.

Changes:
- Add SpanSource::OcrAssisted variant to hybrid.rs
- Add Span::ocr_assisted() helper method
- Implement validate_ocr_with_position_hints() in ocr.rs
  - 5pt distance threshold for position validation
  - 0.4 confidence cap for rejected words
  - Linear scan for nearest-neighbor lookup
- Add unit tests for validation filter

Closes: pdftract-3s2i

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

2026-05-24 04:57:17 -04:00

jedarden

8037e67e82

feat(pdftract-3nwz): add borderless table detection benchmark

- Add borderless detection benchmark to table_detection.rs
- Verify < 10 ms performance requirement (achieved 1.56 ms for 5040 positions)
- Confirm all unit tests pass for borderless detection
- Borderless detection implementation already existed in detector.rs

Acceptance criteria:
- PASS: 3x3 borderless table detected via alignment heuristic
- PASS: paragraph rejected; one-row pseudo-table rejected
- PASS: vertical-gap test; 3-row 3-column borderless table accepted
- PASS: Public API TableDetector::detect_borderless() exists
- PASS: Performance < 10 ms on 5000-span page (measured 1.56 ms)

Co-Authored-By: Claude Code <noreply@anthropic.com>

2026-05-23 22:30:06 -04:00

jedarden

4409eff058

feat(pdftract-88sk): fix 5x3 table test and add benchmark

Fix the critical 5x3 bordered table test to match acceptance criteria
(5 rows × 3 columns = row_ys.len() == 6, col_xs.len() == 4).

Add missing unit tests:
- test_detect_nested_rectangles: tests handling of nested rectangles
- test_detect_disjoint_tables: tests detection of multiple disjoint tables

Add Criterion benchmark for table detection performance.
Results: ~772 µs for 1000 segments (well under 5 ms requirement).

All 35 table module tests pass.

Acceptance criteria:
- ✅ Detector emits GridCandidate for every closed grid of >= 4 cells
- ✅ Critical test: 5x3 bordered table with row_ys.len()==6, col_xs.len()==4
- ✅ Unit tests: single rectangle, nested rectangles, mixed text+rules, glyph-path noise
- ✅ Public TableDetector::detect_line_based(&PageContext) -> Vec<GridCandidate>
- ✅ Benchmark: < 5 ms on 1000-segment page

Refs: pdftract-88sk, plan section 7.2 line 2571

Co-Authored-By: Claude Code <noreply@anthropic.com>

2026-05-23 21:40:57 -04:00

3 commits