Public roadmap ============== Current foundation — PanorAi 3.8 -------------------------------- * Preserve ``geometry-v1``, the Stable object workflow, typed Pipeline, spherical-operation library, CPU Torch layers, SLIC, morphology and the audited component catalog. * Keep Stable and Compatibility 3.x imports working. Experimental pose, stereo, reconstruction, semantics, graph and SLAM surfaces retain their existing evidence gates. * Preserve exact artifact identity across source, wheel, sdist, TestPyPI and PyPI. Source-checkout success alone is not release evidence. Delivered research foundations ------------------------------ The first two ordered capability priorities are now Stable: 1. **Research evaluation**: public, geometry-aware metrics, evaluation records and reproducible protocols for spherical algorithms. 2. **Region analysis**: topology and measurements that continue the Stable morphology and SLIC foundations into connected regions, distances, ordered contours, medial axes and watershed-style grouping. Current Experimental development — registration and stitching -------------------------------------------------------------- The current Experimental capability is: 3. **Registration and stitching**: construct one typed panorama from :math:`N \geq 2` overlapping images, estimating missing image geometry when it is observable instead of requiring metadata for every image. The detailed :doc:`computer-vision research capability roadmap ` defines scope, API placement, scientific gates and explicit non-goals. ``PanoramaStitcher`` now implements the bounded central rotation-only profile with reusable calibration, robust model fitting and public Pipeline Stages. It is not a flagship Application and remains Experimental while global seam/multiband processing, broader camera models, real-image prospective evidence, installed-wheel evidence and independent review remain open. Beyond those priorities ----------------------- * Extend motion and video support with spherical vector fields, optical flow, tracks, motion segmentation and stabilization after the representation and evaluation contracts exist. * Mature existing pose, depth, reconstruction and SLAM paths through their prospective scientific gates rather than promoting them by breadth alone. * Continue graph association, localization, confidence and query research on spatially independent multi-view corpora. * Add photometric, spectral, rendering or learned-model capabilities only when they preserve the package focus and have a clear sphere-specific contract. Later — PanorAi 4.0 ------------------- * Apply the published import-destination map with one coherent migration. * Replace implicit global registries with immutable configuration and explicit constructors where evidence supports the change. * Consider optional point-cloud I/O adapters and additional graph storage backends only after their portable contracts are established. Promotion remains evidence-driven. This roadmap does not promote an Experimental surface, authorize a release, or weaken an existing scientific gate.