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https://github.com/wiltodelta/remove-ai-watermarks.git
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Victor KuznetsovandClaude Opus 5.5
1dc70df289
- Lock OpenCV 5 and cap NumPy below 2.4 through uv constraint-dependencies so PaddleX 3.7 keeps resolving; Dependabot ignores mirror the cap. - OpenCV 5 draws Hershey putText glyphs differently, so the Dola and Kling video templates ship as committed OpenCV 4 renders with a recipe script, and the OpenArt alpha recipe now refuses any OpenCV but 4.x. - Break Sora/Veo cross-matches in favor of Veo under valid Google AI-video provenance, and require the full Sora mascot shape for mascot-only matches. - Let the Doubao engine detect marks tinted by saturated backgrounds. - Share C2PA claim-generator, credential-level and vendor-platform helpers, JPEG suffixes and the DCT basis instead of per-module copies. - Log model download failures, document the optional GITHUB_TOKEN, mark the photo and source classifier model cards archived, and refresh the lock. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
19 lines
635 B
Python
19 lines
635 B
Python
"""The shared DCT basis must be the orthonormal DCT-II that OpenCV computes."""
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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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from remove_ai_watermarks._internal.image_math import dct_matrix
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@pytest.mark.parametrize("size", [4, 8, 16])
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def test_dct_matrix_matches_opencv_dct(size: int) -> None:
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matrix = dct_matrix(np, size)
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# DCT_ROWS transforms each basis vector e_i separately, so row i is column i of the basis.
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np.testing.assert_allclose(matrix, cv2.dct(np.eye(size), flags=cv2.DCT_ROWS).T, atol=1e-12)
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np.testing.assert_allclose(matrix @ matrix.T, np.eye(size), atol=1e-12)
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