perf: parallelize slice alignment with multiprocessing#3
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Ryo722 wants to merge 1 commit intorotejin:masterfrom
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perf: parallelize slice alignment with multiprocessing#3Ryo722 wants to merge 1 commit intorotejin:masterfrom
Ryo722 wants to merge 1 commit intorotejin:masterfrom
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Use multiprocessing.Pool to run AKAZE/ORB feature detection and matching in parallel across slices. This bypasses Python's GIL limitation and can achieve near-linear speedup on multi-core CPUs. On a 2x2 grid (3 diff slices), this typically yields 2-3x speedup. On a 3x3 grid (8 diff slices), the improvement is more significant.
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Summary
スライスの位置合わせ処理を
multiprocessing.Poolで並列化し、マルチコアCPUでの処理速度を向上させます。背景
threadingでは真の並列化ができないため、multiprocessingを使用します効果
Changes
aligner.py:_align_single_slice()トップレベル関数を追加（multiprocessingのpickle要件対応）mask_composer.py:SliceAlignWorker.run()をPool.map()による並列処理に変更Test plan