OCR: embedded, cross-platform ONNX backend with pluggable fallback
Make on-device OCR a pluggable local service so it runs locally on every platform (not just Windows), aimed at GoodNotes/Notability-class handwriting on low-power hardware (e.g. Zen2 APU, CPU/iGPU). - New OcrBackend abstraction (lib/services/ocr/): selector prefers an embedded ONNX recognition backend, falling back to the OS-native backend (Windows WinRT), and to a clean no-op when neither is available. - OnnxRecognitionBackend: flutter_onnxruntime session from a bundled asset, dart:ui preprocessing (resize to 48px, CHW float32, normalized), pure-Dart CTC greedy decode. Fully guarded — absent model/dict is a no-op; never throws. - ocr_engine.dart kept as a thin facade (recognizeImage) delegating to the selector, so ocr_service.dart is unchanged. - CtcDecoder unit-tested (6 tests). flutter analyze clean; all tests pass. - Model is not committed; tool/fetch_ocr_model.sh + assets/models/ocr/README.md document fetching PP-OCRv4 rec + dict on the dev machine. - CI: forward HTTPS_PROXY to the Windows build so CMake can fetch the ONNX Runtime native lib behind the GFW; README documents the system-install alternative. PP-OCR geometry/blank assumptions documented for on-device tuning. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -48,7 +48,16 @@ jobs:
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- name: Enable Windows desktop
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run: flutter config --enable-windows-desktop
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# The flutter_onnxruntime plugin's CMake downloads the ONNX Runtime native
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# library from github.com/microsoft/onnxruntime/releases at build time.
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# That host is blocked here, but CMake's file(DOWNLOAD) honours proxy env
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# vars, so we forward HTTP(S)_PROXY (set them as repo secrets, e.g.
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# http://127.0.0.1:7890). Alternatively install ONNX Runtime system-wide
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# and pass -DUSE_SYSTEM_ONNXRUNTIME=ON -DONNXRUNTIME_ROOT_DIR=... .
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- name: Build Windows release
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env:
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HTTP_PROXY: ${{ secrets.HTTP_PROXY }}
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HTTPS_PROXY: ${{ secrets.HTTPS_PROXY }}
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run: flutter build windows --release
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- name: Package artifact
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