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examples/official/annotation_tool/README.md

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- Image path: path/to/image.png
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- Current template path: path/to/current-template.json
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- Format hint: QR_CODE
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- Proven template path: none
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- Reference template path: none
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- Preprocessing allowed: yes
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```
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examples/official/annotation_tool/template-optimizer/KNOWLEDGE.md

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Practical playbook:
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1. If no template is provided, generate a focused combined template first: one barcode task, one OCR task, and barcode-referenced OCR ROI.
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2. Match the intended capture path first. In the verified page-number case, raw file-based `capture_multi_pages(...)` matched the C# sample and manual upscaling was unnecessary.
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2. Match the intended capture path first. In the verified page-number case, raw file-based `capture_multi_pages(...)` on the original image was sufficient and manual upscaling was unnecessary.
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3. Keep barcode and OCR in the same capture pass; do not split them into separate heuristic crops unless the primary path fails.
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4. Keep post-processing minimal: regex-filter numeric OCR candidates, but do not coerce values such as `161 -> 16`.
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5. Only try preprocessing after raw capture, exact template name, and barcode-referenced OCR wiring have all been confirmed.

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