feat: OCR text anchoring (Tier 1.5a) for grounding cascade#258
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feat: OCR text anchoring (Tier 1.5a) for grounding cascade#258
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Add Phase 5 of the grounding cascade: OCR-based text anchoring as a
cheap grounding tier ($0, <100ms) that runs before VLM grounding.
Changes:
- grounding.py: add run_ocr() and ground_by_text() functions
- run_ocr: optional pytesseract-based text extraction
- ground_by_text: match target description against OCR text with
exact (0.95), case-insensitive (0.90), substring (0.70), and
fuzzy (0.50) scoring tiers, plus nearby-text spatial boost
- demo_executor.py: integrate Tier 1.5a before VLM grounder
- _try_text_anchoring: attempts OCR match, returns action if
local_score > 0.85, otherwise falls through to Tier 2
- telemetry: track tier15a_count separately
- telemetry.py: add tier15a_count parameter
- tests/test_text_anchoring.py: 19 tests covering all match types,
sorting, nearby-text boost, pytesseract fallback, and DemoExecutor
integration (all use mock OCR results, no pytesseract required)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Closing — will rebase Phase 5 additions on top of merged Phase 4. |
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Add run_ocr and ground_by_text to grounding.py. Integrate Tier 1.5a into DemoExecutor. 19 new tests, all passing. See commit message for details.