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Optimize SIMPLE preprocessing for speed #6

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Optimize SIMPLE preprocessing for speed #6

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@benbennett benbennett commented Sep 25, 2025

Summary

  • vectorize 3D patch extraction during SIMPLE dataset generation to eliminate Python-level loops
  • reuse a precomputed weighting volume when stitching patches back into a volume and guard against invalid overlap settings
  • streamline padding/cropping helpers to rely on optimized torch/NumPy ops and avoid redundant allocations

Testing

  • python -m compileall data

https://chatgpt.com/codex/tasks/task_e_68d373f6b7ec83319abc7460994a5b4c

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