docs(getting-started): add image and data API tutorial#731
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Add a Kotlin/JVM tutorial covering the skainet-io-image, skainet-data-transform, and skainet-data-media modules: load a platform image, letterbox it into a YOLO-style (1,3,H,W) tensor, and wrap it in the Image metadata API. Pin the BOM to the current 0.29.0 release and wire the page into nav and the Using section index. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Summary
Adds a new getting-started tutorial covering SKaiNET's image/data stack — an area not yet documented in the tutorials section.
New page:
tutorials/image-data-getting-started.adoc(Kotlin/JVM). Walks through how the three image modules fit together:skainet-io-image— platform image ⇄ tensor (PlatformBitmapImage,platformImageSize)skainet-data-transform—pipeline()based resize / pad /toTensor/rescalepreprocessing, demonstrated with a YOLO-style letterbox into a(1, 3, 640, 640)tensorskainet-data-media—Image.fromTensor(...)metadata wrapper (layout, color space)Changes
nav.adoc(under Tutorials) and theusing/index.adocsection index (new "Working with images and image-shaped tensors" pointer, kept alongside the existing export/deployment section).0.29.0release (was0.27.0), matching the other docs.Verification
resize,pad(red/green/blue),toTensor(ctx),rescale(ctx, 255f),pipeline<T>(),Image.fromTensor,ImageLayout,ColorSpace).xref:link targets resolve.🤖 Generated with Claude Code