[RNE Rewrite] feat: Add OCR implementation #1322
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…TC, rectifyQuad, warpByGrid, rotate)
…essive OCR screen
…OcrOptions.tables) Tables were the odd one out — orientation/dewarp had per-run toggles, tables fired unconditionally when a table region was found. Add RunOcrOptions.tables (default true when the model supports them; a per-run false skips the recognizer), gate the table pass on it, and surface a Table-structure sub-toggle in the demo alongside orientation/dewarp.
…ailing | _ glyphs)
Flat-gray strip padding left a content→pad seam EasyOCR's CRNN read as a
trailing glyph. Add OcrModelOptions.recognizerPadMode ('constant' default,
'cornerMean' = background-matched), thread it through the recognizer, default
EasyOCR to cornerMean. Not a decode bug — the argmax was predicting the seam.
…f composed strip Composing a vertical stack into one horizontal strip fed the recognizer a non-word column with its horizontal-word context, making it hallucinate words (and the vertical-digit phantoms). Recognize each glyph on its own and join top-to-bottom — drops the word bias, gives per-glyph confidence. Cost: one recognizer pass per glyph (fine for the opt-in vertical path).
Vertical reads skip the horizontal drop-score gate because they run lower-confidence. Expose RunOcrOptions.verticalMinConfidence so callers can raise it to filter the low-confidence hallucinations the vertical path emits.
Hardens the pipeline — encodeConstraint variant handling, snapUpDim lattice clamp, span-aware table fill, tagged shape-constraint union, dead compose-mode removal, JSI length guards and demo polish. Also pins the document pipeline to the now-published 0.9.0 model tag.
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Description
Adds a unified, OCR and document understanding pipeline to react-native-executorch. Two OCRs - EasyOCR and PP-OCRv6, plus a higher-level document pipeline that orchestrates orientation correction, UVDoc dewarp, PP-DocLayoutV3 region layout, SLANet table-structure recognition, and reading-order assembly into HTML.
Introduces a breaking change?
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Tested on
Testing instructions
Try OCRing on different images, use different OCR options. See if anything is ill behaved.
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