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Document deployed SAM2, Connect Sequential, Rolling Ball, and point workers - #28
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…rkers Adds docs for the SAM2 automatic mask generator, few-shot (SAM and SAM2), Refiner, propagator and video workers; Connect Sequential; Rolling Ball; Point intensity and Point metrics. Adds a SAM 2 citation, updates Stitch Refinement for ImageAnalysisProject #178, and notes both in the October changelog. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Summary
Fills documentation gaps for workers listed in
AWSDeploy/scripts/workers.tsv(the production manifest):tools-for-making-objects.md: SAM2 family intro, SAM2 automatic mask generator, SAM / SAM2 few-shot segmentation, SAM2 Refiner, SAM2 propagator and SAM2 videotools-for-connecting-objects.md: Connect sequential, and when to use it vs. Connect timelapseimage-processing.md: Rolling Ball background subtraction; Stitch Refinement technical details updated for interior anchoring (Anchor overlap-DCT illumination fit in un-overlapped tile interiors ImageAnalysisProject#178)measuring-object-properties.md: Point intensity and Point metricscitations.md: SAM 2 citationnew-features.md: October entries for the #178 fix and the new docsParameter names and defaults come from each worker's
entrypoint.pyinterface and Dockerfile labels onorigin/master. Where a worker's README disagreed with its code (few-shot Max Mask Area: README says 0, interface default is 1000), the docs follow the code.Still undocumented but deployed: Laplacian of Gaussian, StarDist, Claude natural-language analyzer, Blob overlap, Colony two-color intensity, Point count, Random Forest Classifier, Count connected objects, Distance to nearest blob, H&E Deconvolution.
Test plan
#sam2-tools-for-segmentation-refinement-and-tracking,#connect-sequential,#rolling-ball,#properties-for-point-objects,#segment-anything-model-2-sam-2)🤖 Generated with Claude Code