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https://github.com/wiltodelta/remove-ai-watermarks.git
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bc3228d387
Add deterministic, CPU-only removal of the visible Doubao "豆包AI生成" mark and
a position-agnostic region eraser for any other visible watermark/logo.
- doubao_engine.py: locate (geometry, scales with width) + polarity-aware
white-top-hat glyph mask + cv2 inpaint; coverage-gated detection and a
dense-text safety guard. No GPU, ~30ms.
- region_eraser.py + `erase` command: inpaint arbitrary --region box(es).
Default cv2 backend (no deps); optional big-LaMa via onnxruntime (`lama`
extra, Carve/LaMa-ONNX, model downloaded on first use, never bundled).
- cli `visible --mark auto|gemini|doubao`: auto routes by detector confidence.
- tests for both engines; seed previously-unseeded CLI image fixtures to stop
the Doubao detector flaking on random corners.
- .gitignore: doubao_capture/{seeds,captures} scratch (alpha-map calibration).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
44 lines
869 B
Plaintext
44 lines
869 B
Plaintext
# Dependencies
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.venv/
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__pycache__/
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*.egg-info/
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dist/
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build/
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# Environment secrets
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.env
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# OS files
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.DS_Store
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Thumbs.db
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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# Test results
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data/results/
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# SynthID corpus reference fills (synthetic black/white calibration tiles,
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# regenerable; the labeled pos/neg/cleaned images ARE tracked, see README)
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data/synthid_corpus/refs/
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# Reference materials
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_refs/
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# Downloaded model weights
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yolov8n.pt
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.coverage
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# Claude Code local settings
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.claude/settings.local.json
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# Doubao watermark calibration (local only; ship only the derived alpha-map asset).
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# Synthetic seeds + raw Doubao captures are regenerable and not committed.
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# Non-ours reference artifacts go in any _refs/ dir (already ignored above): usable
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# locally for bootstrap/validation, never redistributed in the repo.
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data/doubao_capture/seeds/
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data/doubao_capture/captures/
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