Prototype: ML Assisted labeling using superpixels#860
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✨ Finishing Touches🧪 Generate unit tests (beta)
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- Use useSegmentationMaskBrush (renamed from useInstanceSegmentationBrush) and keep main's requestLabel class-picker flow instead of the removed DEFAULT-label auto-creation - Map SLIC tool onto the unified segmentation_mask annotation type (instance/semantic split was removed on main) - Wire deleteAnnotation and SelectClassDialog into SampleSlicRect - Update thunk-based useAnnotation/useAnnotationLabels usage - Port finishBrush options (deferDrawingReset, skipImageRefetch, refreshAnnotations) and return-value tests to useSegmentationMaskBrush.test.ts Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Extract the SLIC algorithms (clustering, boundaries, hierarchical merging, mask helpers) into the @lightly-ai/slic package (Rust/WASM with automatic pure-JS fallback, ~1.5-1.8x faster than the previous in-repo implementation). The app keeps only the DOM-side adapter: image loading/downscaling, data-URL rendering, dev URL rewriting, level presets, and per-image caching. Consumed as a local file: dependency on ../slic-package for now; switch to a published npm version once the package stabilizes. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
SlicResult now carries the package's CSR pixel-index buffers and only materializes labelPixelIndexes lazily on first access, so mask building in the SLIC tool iterates typed arrays instead of nested JS arrays. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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What has changed and why?
This is a prototype for ML assisted labeling using superpixels (SLIC algorithm).
superpixel-labeling.mp4
How has it been tested?
Did you update CHANGELOG.md?