Amirali/overlay#7
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Emphasize pixel-perfect preservation of original document. The model should only ADD red handwritten overlays on blank fields, never modify or regenerate any existing content. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Two-step deterministic approach: 1. Qwen-VL detects blank form fields + coordinates (% of image) 2. Pillow draws red placeholder boxes + English text at those positions No image regeneration — original document preserved pixel-perfect. Robust JSON parsing handles LLM quirks (single quotes, trailing commas, malformed coordinate pairs). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…ction Two-step approach: 1. Qwen-VL-Max detects blank form fields → bbox_2d [x1,y1,x2,y2] in 0-1000 range 2. Pillow draws red highlight boxes + English placeholder text at exact positions Tested on tax form (data/fields.png): all 8 form fields detected and annotated. Original image preserved pixel-perfect — only red overlays added. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…lution Qwen-VL returns bbox_2d in its internal processing resolution, not a fixed 0-1000 range. Now derives scale factors from the max coordinate values in the response, mapping accurately to actual image pixels. Tested on data/fields.png: all 8 form fields correctly overlaid. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Boxes now measured from the actual text width instead of the full detected bbox — no more covering existing printed labels. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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