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Detect text at native resolution (capped), fixing small-text recall on large images (#27)

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The text-protection detector scaled every image to a fixed 736 px long side, so
small text on large canvases (e.g. ~16 px on 2048) was downscaled below the
detector and missed -> deformed by the SDXL pass (issue #14). Detect at the
native long side capped at 1536, never upscaled (_detection_input_size, a pure
unit-tested helper). Detection is script-agnostic (DB segments regions, not
characters), so this is language-agnostic: a new benchmark
(scripts/text_detection_benchmark.py) measures recall across Latin/Cyrillic/CJK/
Hangul/Arabic/digits x sizes x canvas -> overall hit-rate 0.91 -> 1.00, worst
cell (2048/16 px) 0.06 -> 1.00. Docs updated.

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Victor Kuznetsov
2026-05-29 12:28:30 -07:00
committed by GitHub
co-authored by Claude Opus 4.8
parent 0c7ff1874e
commit ef6fdaeeec
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@@ -108,7 +108,7 @@ SDXL is the default since May 2026: empirically defeats SynthID v2 on Gemini 3 P
**Analog Humanizer**: optional film grain and chromatic aberration injection that mimics a photo of a screen, raising the bar for AI-generated image classifiers. (It frustrates generic classifiers but does not guarantee forensic invisibility — see the [arXiv:2605.09203](https://arxiv.org/abs/2605.09203) note above.)
**Text Protection** (automatic): SDXL img2img regenerates every pixel, so small text and CJK glyphs get deformed at the strengths that defeat SynthID. The SDXL pipeline guards against this by default: a CJK-native PP-OCRv3 text detector (a 2.4 MB ONNX model run on CPU via OpenCV's DNN module, downloaded and cached on first use) locates text regions, and if any are found the pass switches to Differential Diffusion so a per-pixel change map keeps the text regions largely intact while the background is regenerated normally. Text-free images run the standard pass at no extra cost. Pass `--no-protect-text` to turn it off. SDXL default pipeline only.
**Text Protection** (automatic): SDXL img2img regenerates every pixel, so small text and glyphs get deformed at the strengths that defeat SynthID. The SDXL pipeline guards against this by default: a PP-OCRv3 text detector (a 2.4 MB ONNX model run on CPU via OpenCV's DNN module, downloaded and cached on first use) locates text regions, and if any are found the pass switches to Differential Diffusion so a per-pixel change map keeps the text regions largely intact while the background is regenerated normally. Detection is **language-agnostic** (it finds text regions, not characters), so Latin, Cyrillic, CJK, Hangul, Arabic, and digits are all protected, and it runs at the image's native resolution so small text on large images is not missed. Text-free images run the standard pass at no extra cost. Pass `--no-protect-text` to turn it off. SDXL default pipeline only.
### Stripping C2PA, EXIF, and "Made with AI" metadata