0cf2e0edc693ca12f7ba29ea88bfbbc78245fbbd
5 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 xiaoying-agent
|
e905989695 |
test: 适配 cv2 可用后的单测阈值与 mock 方式
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- test_cover_frame_scorer: 渐变图高分阈值 50→40（实测41.27，纯渐变拉普拉斯方差中等）；全黑阈值 5→10（兼容cv2浮点/直方图微小差异） - test_dedup_v2: cv2.VideoCapture 改为 patch.object 方式 mock，确保在真实 cv2 可用环境下mock生效（之前直接赋值 cv2_mock.VideoCapture.return_value 在sys.modules恢复后可能引用丢失） |
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 xiaoxia
|
cf83c0df9f |
fix(dedup): pHash阈值二次校准12→16 + 时序对齐允许±1反向抖动，修复降重同源对漏检 (#1702) (#1709)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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|
xiaoxia
|
28b3010668 |
fix(dedup): 修复查重率恒为0%——指纹绕开降重裁剪+局部片段复用+阈值校准+3个单位bug (#1702) (#1703)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com> Co-committed-by: xiaoxia <dev@xiaoxiajianji.com> |
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CI Bot
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a0d4f6e111 |
style: auto-format with black + isort + prettier [skip ci-format-check]
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xiaoxia
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fac80b1f77 |
feat(dedup): 动态抽帧 + 滑动窗口时序匹配 (#1659)
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1. 动态抽帧策略 — detect_keyframe_timestamps() - 降采样到 320x240 逐帧灰度差异检测场景切换 - 最小间隔过滤（保留差异最大的候选帧） - 数量裁剪到 [MIN_KEYFRAMES=5, MAX_KEYFRAMES=30] - 长视频（>3分钟）每 30 秒分段保底 2. 滑动窗口时序匹配 — find_duplicate_segments() - 逐帧最佳匹配 → 连续 run 检测（允许 MAX_GAP=2 间隙） - 最少 MIN_CONSECUTIVE_MATCHES=5 帧才报告 - 返回 DuplicateSegment（query/target 时间范围 + 平均距离） 3. 查重算法升级 - 均值距离 → 中位数距离（抵抗异常值） - 新增帧匹配比例条件（match_ratio >= 0.7） - Bhattacharyya 系数替代余弦相似度 - pHash + 直方图加权融合（0.7/0.3） - 判定重复后附加 duplicate_segments 字段 4. 删除旧代码 - 移除 SHORT_VIDEO_CHUNK_SEC/LONG_VIDEO_CHUNK_SEC 固定间隔 - 移除 compute_chunk_interval() - 移除 _average_histogram_similarity() 5. 测试 - 新增 test_dedup_v2.py: 34 个测试 - 更新 test_dedup_engine.py/test_duplicate_rate.py/test_dedup_pure.py - 清理 test_fingerprint_chunks.py 中旧常量测试 |