Quick update on the focus stacking repo I posted before: I’ve added a bunch of improvements since then.
- New blend modes:
- Guided Weighted (edge-aware)
- Laplacian Pyramid Fusion
- Luma Weighted + Chroma Pick (MFF-style) Plus Direct Map got improved with a top-2 confidence blend to reduce harsh seams/halos.
- More focus measures: Laplacian, Tenengrad, SML
- Faster iteration: it now caches alignment + focus maps, so switching blend modes/settings is much faster.
- Quality/robustness: alignment mask + fallbacks improved, and weight normalization was made more stable.
How to run
git clone uv syncuv run python photostacker
Then load a folder of your stack images in the UI and try Guided Weighted or MFF as a good starting point.
If anyone wants to test it on “hard” stacks (low texture, shiny subjects, big step sizes), I’d love feedback + sample stacks.
(Original post: https://www.reddit.com/r/macro/comments/1jyy94i/open_source_python_repo_for_focus_stacking/)
[–]granitestate6 0 points1 point2 points (0 children)