mirror of
https://github.com/wiltodelta/remove-ai-watermarks.git
synced 2026-07-12 02:56:32 +02:00
Victor Kuznetsov
1a955b096a
- Replace reverse-alpha removal with localize -> fill (template-free mask + one shared cv2/MI-GAN/big-LaMa fill) for every mark; drops the colour-shift / dark-pit failure modes, version-robust to a moved or re-rendered mark - Separate perception/decision/action: engines report Candidates, a pure decide(candidates, Context) arbiter owns all policy (sensitivity + provenance + pill gate), remove_auto_marks orchestrates -- behavior-preserving (corpus 46/46/92) - Three orthogonal knobs replace --method: --backend cv2|migan|lama, --sensitivity auto|strict|assume-ai, provenance (auto from metadata) - Add high-level api.remove_visible / visible_provenance (lazy top-level re-export); visible --mark auto delegates to it so CLI and library share ONE path - Read+write HEIC/AVIF on the pixel path via pillow-heif; imwrite preserves the input format at max quality (JPEG q100/4:4:4); a no-op copies the original bytes verbatim - Lossless byte-level JPEG metadata strip (no DCT re-encode); consolidate the two remove_ai_metadata into one, delete legacy noai/cleaner + best_auto_mark - Bump 0.13.0 -> 0.14.0 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
59 lines
2.3 KiB
Python
59 lines
2.3 KiB
Python
"""Memory guard for the text-mark engine ``extract_mask``.
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``extract_mask`` used to build a full ``(h, w)`` uint8 mask that every caller
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cropped to the located box; it now returns the box-sized mask directly. This test
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locks in the O(footprint) memory characteristic so a regression back to a
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full-frame allocation fails loudly.
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"""
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from __future__ import annotations
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import cv2
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import numpy as np
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import pytest
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import remove_ai_watermarks.doubao_engine as D
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import remove_ai_watermarks.jimeng_engine as J
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import remove_ai_watermarks.samsung_engine as S
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from remove_ai_watermarks.doubao_engine import DoubaoEngine
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from remove_ai_watermarks.jimeng_engine import JimengEngine
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from remove_ai_watermarks.samsung_engine import SamsungEngine
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# (engine factory, engine module) for each reverse-alpha text mark.
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ENGINES = [
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pytest.param(DoubaoEngine, D, id="doubao"),
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pytest.param(JimengEngine, J, id="jimeng"),
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pytest.param(SamsungEngine, S, id="samsung"),
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]
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def _watermarked(engine, module) -> np.ndarray:
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"""Composite the engine's real alpha glyph (white) onto a flat mid-gray field at
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the captured native width, anchored in the mark's configured corner."""
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cfg = engine.config
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nw = module._ALPHA_NATIVE_WIDTH
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at = module._alpha_template()
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gw, gh = int(cfg.alpha_width_frac * nw), int(cfg.alpha_height_frac * nw)
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margin = int(0.015 * nw)
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ax = (nw - margin - gw) if cfg.corner == "br" else margin
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ay = nw - margin - gh
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amap = np.zeros((nw, nw), np.float32)
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amap[ay : ay + gh, ax : ax + gw] = cv2.resize(at, (gw, gh))
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a3 = amap[:, :, None]
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img = np.full((nw, nw, 3), 100.0, np.float32)
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return (a3 * 255.0 + (1 - a3) * img).clip(0, 255).astype(np.uint8)
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@pytest.mark.parametrize(("factory", "module"), ENGINES)
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class TestExtractMaskFootprint:
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def test_returns_box_sized_mask(self, factory, module):
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eng = factory()
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img = _watermarked(eng, module)
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loc = eng.locate(img)
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box = eng.extract_mask(img, loc)
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assert box.dtype == np.uint8
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# Shape == loc.bbox, i.e. the old full-frame mask's [y:y+bh, x:x+bw] crop.
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assert box.shape == (loc.h, loc.w)
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# Footprint, not full frame: the box is a tiny fraction of the image.
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assert box.size * 4 < img.shape[0] * img.shape[1]
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