Architecture

PanorAi separates mathematical geometry, evidence-producing domains, and evidence integration. Product families organize user goals; Python packages remain domain boundaries rather than mirroring the navigation hierarchy.

Surface

Stability

Canonical import

Contract

Public components or entries

spherical-features-core

Stable

panorai.features

panorai-spherical-features/v1

DeduplicationResult, FaceSetSpec, FeatureExtractor, FeatureExtractorConfig, FeatureMatcher, FeatureMatcherConfig, FeatureProvenance, FaceDetectionDiagnostics, MatchProvenance, MultifaceDetectionDiagnostics, OpenCVFeatureBackend, SphericalBearingCorrespondences, SphericalFeature, SphericalFeatureMatches, SphericalFeaturePipeline, SphericalFeaturePipelineConfig, SphericalFeatureSet, available_presets, deduplicate_spherical_keypoints, extract_opencv_features, gnomonic_feature_mask, match_opencv_features, panorai.features.backends.OpenCVFeatureBackend

spherical-features-pycolmap

Experimental

panorai.features

panorai-spherical-features-pycolmap/v1

GnomonicRig, GnomonicRigCamera, PyCOLMAPExportResult

spherical-features-multiscale

Experimental

panorai.features

panorai-spherical-features-multiscale/v1

MultiscaleEmbeddingConfig, MultiscaleFeatureMatches, MultiscaleFeatureSet, MultiscaleSphericalFeaturePipeline, OpenCVContextEmbedding, VisualContextNode, VisualEmbeddingProvider

spherical-features-dog-sift

Experimental

panorai.features

panorai-spherical-dog-sift/v2

SphericalDoGSIFTConfig, SphericalDoGSIFTExtractor, SphericalDoGSIFTPipeline

spherical-features-dog-detector

Experimental

panorai.features

panorai-spherical-dog-detector/v2

SphericalDetectionDiagnostics, SphericalDoGDetector, SphericalDoGDetectorConfig, SphericalKeypoint, SphericalKeypointSet, SphericalOctaveDetectionDiagnostics, SphericalRefinedKeypoint

spherical-features-coarse-dog-detector

Experimental

panorai.features

panorai-spherical-coarse-dog-detector/v1

SphericalCoarseDoGDetector, SphericalCoarseDoGDetectorConfig

spherical-features-tangent-patches

Experimental

panorai.features

panorai-tangent-patches/v1

OpenCVTangentDescriptor, OpenCVTangentDescriptorConfig, TangentDescriptorSet, TangentPatch, TangentPatchGeometry, TangentPatchProvider, TangentPatchRequest, TangentPatchSet

spherical-feature-resolution-selection

Experimental

panorai.features

panorai-resolution-selection/v1

ResolutionLevelReport, ResolutionSelectionObservation, ResolutionSelectionPolicy, ResolutionSelectionReport, ResolutionTransitionReport, select_feature_resolution

spherical-features-tangent-descriptor-v2

Experimental

panorai.features

panorai-tangent-opencv-descriptor/v2

OpenCVTangentDescriptorV2, OpenCVTangentDescriptorV2Config, TangentDescriptorHypothesisSet

spherical-relative-pose-pipeline

Experimental

panorai.features

panorai-spherical-relative-pose-pipeline/v1-experimental

ExtractSphericalFeaturePair, MatchSphericalFeatures, SphericalFeaturePair, SphericalImagePair, ToBearingCorrespondences

spherical-deep-learning-depth

Experimental

panorai.experimental.deep_learning

panorai-spherical-metric-depth/v1-experimental

SphericalMetric3D, acquire_metric3d_convnext_large_v1, acquire_metric3d_convnext_tiny_v1, load_spherical_metric3d_convnext_large_v1, load_spherical_metric3d_convnext_tiny_v1, panorai.depth.DepthAdapterUnavailableError, panorai.depth.ModelRegistry, panorai.depth.load_dav2_model, panorai.depth.load_dust3r_model, panorai.depth.load_m3dv2_model, panorai.depth.load_zoe_model, panorai.depth.zoe.load_zoe_model, panorai.experimental.deep_learning.depth.SPHERICAL_METRIC_DEPTH_INTERFACE, panorai.experimental.deep_learning.depth.METRIC3D_CHECKPOINT_REVISION, panorai.experimental.deep_learning.depth.METRIC3D_CONVNEXT_LARGE_V1, panorai.experimental.deep_learning.depth.METRIC3D_CONVNEXT_TINY_V1, panorai.experimental.deep_learning.depth.METRIC3D_SOURCE, panorai.experimental.deep_learning.depth.METRIC3D_SOURCE_COMMIT, panorai.experimental.deep_learning.depth.ExternalArtifactRecord, panorai.experimental.deep_learning.depth.ExternalArtifactSpec, panorai.experimental.deep_learning.depth.LoadedSphericalDepthModel, panorai.experimental.deep_learning.depth.Metric3DAssets, panorai.experimental.deep_learning.depth.SphericalMetric3D, panorai.experimental.deep_learning.depth.UpstreamTermsNotAcceptedError, panorai.experimental.deep_learning.depth.acquire_metric3d_convnext_large_v1, panorai.experimental.deep_learning.depth.acquire_metric3d_convnext_tiny_v1, panorai.experimental.deep_learning.depth.load_spherical_metric3d_convnext_large_v1, panorai.experimental.deep_learning.depth.load_spherical_metric3d_convnext_tiny_v1

tangent-da3-metric-depth

Experimental

panorai.experimental.deep_learning

panorai-depth-anything-3-metric-tangent/v1-experimental

DA3MetricTangent, acquire_da3metric_large, load_da3metric_large, panorai.experimental.deep_learning.da3.DA3Assets, panorai.experimental.deep_learning.da3.DA3MetricTangent, panorai.experimental.deep_learning.da3.DA3TermsNotAcceptedError, panorai.experimental.deep_learning.da3.DA3_CANONICAL_FOCAL_PX, panorai.experimental.deep_learning.da3.DA3_CHECKPOINT_REVISION, panorai.experimental.deep_learning.da3.DA3_MODEL_ID, panorai.experimental.deep_learning.da3.DA3_PATCH_SIZE, panorai.experimental.deep_learning.da3.DA3_SOURCE, panorai.experimental.deep_learning.da3.DA3_SOURCE_COMMIT, panorai.experimental.deep_learning.da3.DA3METRIC_LARGE, panorai.experimental.deep_learning.da3.LoadedDA3MetricModel, panorai.experimental.deep_learning.da3.SPHERICAL_DA3_METRIC_DEPTH_INTERFACE, panorai.experimental.deep_learning.da3.acquire_da3metric_large, panorai.experimental.deep_learning.da3.load_da3metric_large

spherical-semantic-segmentation

Experimental

panorai.experimental.deep_learning.segmentation

panorai-spherical-semantic-segmentation/v1

SPHERICAL_MASK_PROPOSALS_INTERFACE, SPHERICAL_PROXY_SEGMENTATION_INTERFACE, SPHERICAL_SEMANTIC_SEGMENTATION_INTERFACE, SAM21_HIERA_LARGE_LICENSE, SAM21_HIERA_LARGE_REPOSITORY, SAM21_HIERA_LARGE_REVISION, IMAGENET_PROXY_VOCABULARY, DenseSemanticEvidence, Sam21Assets, Sam21FileRecord, Sam21HieraLargeSegmenter, Sam21TermsNotAcceptedError, SamMultimaskOutput, SegmentPrompt, SemanticProxyConcept, SphericalBinaryMask, SphericalProxySegmenter, SphericalMaskProposal, SphericalMaskProposalSet, SphericalSeed, SphericalSegment, SphericalSegmentationConfig, SphericalSegmentationResult, SphericalSemanticSegmenter, acquire_sam21_hiera_large, advance_chart, backproject_face_mask_sets, angular_distance_degrees, backproject_face_masks, concept_display_names, concept_evidence_from_imagenet, concept_proxy_names, connected_component_at, consensus_frontiers, extract_mask_face, extract_rgb_face, face_point_direction, fibonacci_coverage_seeds, load_sam21_hiera_large, majority_and_envelope, mask_stability_score, maximum_pairwise_iou, merge_proposals, non_maximum_suppression, partition_proposals_by_origin, pairwise_mask_iou, prompt_from_mask, prompt_grid, proposal_is_accepted, resolve_panoptic_map, select_semantic_seeds, semantic_support_for_mask, solid_angle_weights, weighted_containment, weighted_intersection_over_union

spherical-relative-pose

Experimental

panorai.estimators

panorai-spherical-relative-pose/v1

CalibrationEvaluation, DecoupledPoseReport, EstimateRelativePose, FivePointSample, FivePointSampler, FivePointSamplingDiagnostics, ModelCompetitionReport, ModelEvidence, PoseStabilityReport, RelativePoseAcceptancePolicy, RelativePoseConfidenceCalibrator, RelativePoseOptions, RelativePoseQualityReport, RelativePoseResult, TranslationOrientationReport, SpatiallyWeightedFivePointSampler, SphericalRelativePoseEstimator, UniformFivePointSampler, estimate_relative_pose, native_kernels_available, solve_five_point_essential, spherical_tangent_sampson_error

semantic-object-localization

Experimental

panorai.object_localization

panorai-object-localization/v1

JOINT_MATCH_CLUSTERS_INTERFACE, JointMatchCluster, JointMatchClusterConfig, JointMatchClusterResult, MULTIVIEW_OBJECT_HYPOTHESES_INTERFACE, BearingTrackTriangulation, DirectionalRegionTransfer, HypothesisAffinity, HypothesisAffinityConfig, HypothesisGnomonicRegion, HypothesisPairCues, HypothesisReductionCandidate, HypothesisReductionResult, HypothesisRegionEvaluation, HypothesisTransferEvaluation, HypothesisViewConsistency, HypothesisViewEmbedding, HypothesisViewPairEvaluation, MultiviewObjectHypothesis, MultiviewObjectHypothesisResult, MultiviewSpatialRegion, OBJECT_LOCALIZATION_INTERFACE, OBJECT_LOCALIZATION_STABILITY, ObjectHypothesis, ObjectLocalizationConfig, ObjectLocalizationPipeline, ObjectLocalizationResult, PairObjectLocalizationInput, RegionAssociation, ReducedHypothesisRecord, RegisteredSemanticEvidence, RegisteredBearingObservation, RegisteredBearingTrack, RegisteredPoseInconsistencyError, RegisteredRadialDepth, SEMANTIC_MATCH_PRIOR_INTERFACE, SEMANTIC_REGION_PROPOSALS_INTERFACE, SPHERICAL_ANCHOR_FUSION_INTERFACE, SemanticMatchPrior, SemanticMatchPriorConfig, SemanticQuery, SemanticConcept, SemanticRegionProposalConfig, SemanticRegionProposalResult, SemanticRegionObservation, SemanticTrackObservation, SphericalObjectHypothesisConfig, SphericalObjectHypothesisGenerator, SphericalObjectHypothesisMethod, SphericalObjectHypothesisMethodConfig, SphericalObjectHypothesisMethodResult, SphericalAnchorAffinity, SphericalAnchorCluster, SphericalAnchorClusterDecision, SphericalAnchorDecision, SphericalAnchorFusionConfig, SphericalAnchorFusionResult, SphericalAnchorPairCues, SphericalFOVAnchor, SphericalRegionMetrics, SpatialLocationHypothesis, SymmetricRegionTransfer, assign_region_associations, build_semantic_match_prior, cluster_region_association_matches, evaluate_spherical_region, fuse_registered_spherical_anchors, generate_spherical_fov_anchors, hypothesis_pair_affinity, hypothesis_view_consistency, triangulate_registered_bearing_track, localize_region_association, object_hypothesis_id, propose_region_associations, reduce_object_hypotheses, semantic_region_from_map, semantic_regions_from_map, spherical_region_mask, spherical_anchor_pair_affinity, spherical_solid_angle_weights, symmetric_spherical_region_transfer, transfer_spherical_region

spherical-reconstruction

Experimental

panorai.reconstruction

panorai-spherical-reconstruction/v1

BuildRegisteredReferenceSets, ColorizeSurface, DenseReconstructionWorkspace, EstimateMultiViewRanges, ExtractSurface, FuseTSDF, MultiViewRangeMap, MultiViewRangeSet, RegisteredReferenceSets, RegisteredSphericalScene, RegisteredSphericalView, SphericalBaselinePrior, SphericalCameraPose, SphericalDenseReconstructionResult, SphericalGlobalMapper, SphericalGlobalMapperOptions, SphericalPairwisePoseEdge, SphericalRangePrior, SphericalReconstructionDiagnostics, SphericalReconstructionResult, SphericalTrack, SphericalTrackObservation, SurfaceMesh, TSDFSpec, TSDFVolume, ValidateDenseReconstruction, colorize_surface, extract_surface, fuse_tsdf

metric-spherical-landmark-ba

Experimental

panorai.reconstruction.metric_landmark_ba

panorai-metric-spherical-landmark-ba/v1-experimental

METRIC_SPHERICAL_LANDMARK_BA_INTERFACE, MetricBearingObservation, MetricLandmarkBAOptions, MetricLandmarkBAReport, MetricLandmarkBAResult, MetricRadialRangePrior, MetricScaleGauge, MetricSphericalCamera, MetricSphericalLandmark, refine_metric_spherical_landmarks

spherical-dense-stereo

Experimental

panorai.stereo

panorai-spherical-dense-stereo/v1-experimental

SphericalDenseStereo, SphericalStereoOptions, SphericalStereoResult, classical, panoramic, colorize_spherical_range, estimate_spherical_range, render_spherical_stereo_result

classical-rectified-stereo

Experimental

panorai.stereo.classical

panorai-classical-dense-stereo/v1-experimental

ADCensusConfig, ADCensusCost, AbsoluteDifferenceCost, BirchfieldTomasiCost, BoxCostAggregation, BuildStereoCost, CensusCost, CensusMGMConfig, ClassicalStereoResult, CrossBasedCostAggregation, ELASConfig, ELASSupportPrior, MoreGlobalMatching, OpenCVStereoMatcher, PatchMatchConfig, PatchMatchStereo, RectifiedStereoGeometry, RectifiedStereoPair, RefineStereoDisparity, SelectStereoDisparity, SemiGlobalMatching, StereoBMConfig, StereoCostVolume, StereoDisparityCandidate, StereoSGBMConfig, StereoValidationConfig, TransformStereoCost, ad_census_pipeline, census_mgm_pipeline, disparity_labels, elas_pipeline, patchmatch_pipeline, stereo_bm_pipeline, stereo_sgbm_pipeline

registered-full-sphere-stereo-core

Experimental

panorai.stereo.panoramic

panorai-registered-full-sphere-stereo/v1-experimental

FullSphereMultiViewStereo, FullSphereStereoOptions, FullSphereStereoResult, OverlappingCubemapPlanner, PanoramicStereoPose, RegisteredPanoramaSet, StereoSourceView

panoramic-dense-stereo-workflow

Experimental

panorai.stereo.panoramic

panorai-panoramic-dense-stereo/v1-experimental

BackProjectStereoRange, DenseStereoPerPair, FuseStereoRange, PanoramicStereoInput, PanoramicStereoResult, PlanRectifiedStereoViews, ProjectStereoViewPairs, RectifiedStereoViewPlanner, RectifiedStereoViewSpec, ResolveStereoPose, ResolveStereoScale, SelectStereoViewPairs, SphereNativeStereo, SphericalStereoViewPairer, StereoPairDiagnostic, StereoViewDescriptor, StereoViewPairScore, StereoViewSelectionDiagnostic, StereoViewPlan, ValidatePanoramicStereo, spec_from_axes

spherical-slam

Experimental

panorai.slam

panorai-spherical-slam/v1

EquidistantFisheyeCamera, FisheyeRayProjection, SphericalImageFrame, SphericalIncrementalSLAM, SphericalIncrementalSLAMDiagnostics, SphericalIncrementalSLAMOptions, SphericalIncrementalSLAMResult, SphericalKeyframeSummary, SphericalLocalBAReport, SphericalMapObservation, SphericalMapPoint, SphericalSLAMDiagnostics, SphericalSLAMFrameSummary, SphericalSLAMOptions, SphericalSLAMPose, SphericalSLAMResult, SphericalTrackingResult, SphericalVisualSLAM

rotation-pair-calibration

Experimental

panorai.calibration

panorai-rotation-pair-calibration/v1-experimental

RotationCalibrationOptions, RotationCalibrationResult, calibrate_rotation_pair

robust-model-fitting

Experimental

panorai.model_fitting

panorai-robust-model-fitting/v1-experimental

HomographyModel, ModelFamily, RobustFitOptions, RobustFitResult, RotationModel, fit_homography, fit_rotation, robust_fit

spherical-estimators-auto-experimental

Experimental

panorai.estimators

panorai-estimator/auto-experimental

—

Surface

Stability

Canonical import

Contract

Public components or entries

public-catalog

Stable

panorai.catalog

panorai-catalog/v1

CatalogSurface, DocumentationContext, DocumentationLink, DocumentationSite, PublicCatalog, public_catalog

object-workflow

Stable

panorai

panorai-object-workflow/v1

EquirectangularImage, GnomonicFace, GnomonicFaceSet, SphericalTranspose

spatial-semantic-graph

Experimental

panorai.graph

panorai-spatial-semantic-graph/v1

GRAPH_INTERFACE, GRAPH_STABILITY, CallablePanorAiProvider, DepthProvider, DisabledProvider, EvidenceMode, EvidenceProvider, EvidenceSource, ExternalProvider, GraphArchiveError, GraphBuilderConfig, GraphEvent, GraphQueryFilters, GraphQueryResult, MultiViewPoseProvider, ObjectHypothesisNode, OracleProvider, PairFeatureEvidence, PairwiseLocalizationConfig, PairwiseLocalizationInput, PairwiseLocalizationResult, PoseProvider, PromotionPolicy, RegionAssociationConfig, RegionAssociationInput, RegionAssociationResult, RegionCorrespondenceCandidate, RegionCorrespondenceEdge, RelativePoseEdge, SemanticProvider, SemanticRegionNode, SpatialSemanticGraph, SpatialSemanticGraphBuilder, SpatialSemanticGraphQuery, SpatialSemanticPosterior, SphericalViewNode, TextImageEncoder, assign_region_correspondences, associate_regions, load_graph_archive, localize_region_pair, neighbors, propose_region_correspondences, query_embedding, query_spatial, query_text, replay_graph_archive, save_graph_archive, panorai.graph.association.RegionAssociationConfig, panorai.graph.association.RegionAssociationInput, panorai.graph.association.RegionAssociationResult, panorai.graph.association.assign_region_correspondences, panorai.graph.association.associate_regions, panorai.graph.association.propose_region_correspondences, panorai.graph.builder.GraphBuilderConfig, panorai.graph.builder.SpatialSemanticGraphBuilder, panorai.graph.localization.PairwiseLocalizationConfig, panorai.graph.localization.PairwiseLocalizationInput, panorai.graph.localization.PairwiseLocalizationResult, panorai.graph.localization.localize_region_pair, panorai.graph.observations.deterministic_id, panorai.graph.observations.feature_evidence_from_panorai, panorai.graph.observations.pose_edge_from_panorai, panorai.graph.observations.semantic_region_from_observation, panorai.graph.providers.CallablePanorAiProvider, panorai.graph.providers.DepthProvider, panorai.graph.providers.DisabledProvider, panorai.graph.providers.EvidenceProvider, panorai.graph.providers.ExternalProvider, panorai.graph.providers.MultiViewPoseProvider, panorai.graph.providers.OracleProvider, panorai.graph.providers.PoseProvider, panorai.graph.providers.SemanticProvider, panorai.graph.query.GraphQueryFilters, panorai.graph.query.GraphQueryResult, panorai.graph.query.SpatialSemanticGraphQuery, panorai.graph.query.TextImageEncoder, panorai.graph.query.neighbors, panorai.graph.query.query_embedding, panorai.graph.query.query_spatial, panorai.graph.query.query_text, panorai.graph.serialization.GraphArchiveError, panorai.graph.serialization.load_graph_archive, panorai.graph.serialization.replay_graph_archive, panorai.graph.serialization.save_graph_archive

spherical-ops-algorithms-gateway

Experimental

panorai.ops.spherical

panorai-spherical-algorithms/v1-experimental

algorithms

spherical-mask-rcnn-taxonomy

Experimental

panorai.experimental.deep_learning.mask_rcnn

panorai-spherical-mask-rcnn/v1-experimental

Backbone, BoxHead, MaskHead, MaskRCNNArchitecture, ProposalGenerator, RegionProposalNetwork, RoIAlign, RoIHeads, SphericalMaskRCNN, SphericalMaskRCNNPaper, SphericalMaskRCNNWorkflow, UnboundMaskRCNNError, paper, workflow

spherical-surface-open3d-adapter

Experimental

panorai.pcd

panorai-surface-open3d-adapter/v1-experimental

surface_mesh_to_open3d

Surface

Stability

Canonical import

Contract

Public components or entries

legacy-composition

Compatibility

panorai

panorai-3x-compatibility/v1

EquirectangularImage, GnomonicFace, GnomonicFaceSet, ConfigManager, PanoraiFactory, panorai.projections.GnomonicProjection, panorai.projections.ProjectionRegistry, panorai.projections.base.BaseProjectionStrategy, panorai.projections.base.BaseGridGeneration, panorai.projections.base.BaseInterpolation, panorai.projections.base.BaseCoordinateTransformer, panorai.projections.base.ProjectionError, panorai.projections.base.ConfigurationError, panorai.projections.base.RegistrationError, panorai.projections.base.ProcessingError, panorai.projections.base.GridGenerationError, panorai.projections.base.TransformationError, panorai.projections.base.InterpolationError, panorai.samplers.SamplerRegistry, panorai.samplers.Sampler, panorai.samplers.CubeSampler, panorai.samplers.IcosahedronSampler, panorai.samplers.FibonacciSampler, panorai.samplers.BlueNoiseSampler, panorai.samplers.SpiralSampler, panorai.utils.ResizerConfig, panorai.utils.ImageResizer, panorai.utils.PreprocessEquirectangularImage, panorai.utils.setup_logging

root-convenience-exports

Compatibility

panorai.features

panorai-root-convenience/v1

SphericalFeaturePipeline, __version__

core-geometry-preview

Compatibility

panorai.core.geometry

geometry-v1

CUBE_FACE_BASES, CUBE_FACE_ORDER, ArrayLike, CubemapProjector, CubemapSpec, ERPPointProjection, GnomonicFaceGeometry, GnomonicPointProjection, GnomonicProjector, GnomonicRayProjection, GnomonicSpec, Interpolation, InvalidPolicy, NumpyArray, ProjectionResult, ShapeHW, TensorLike, camera_rays_to_world_points, cubemap_to_equirectangular, equirectangular_to_cubemap, equirectangular_to_gnomonic, erp_pixels_to_rays, gnomonic_face_geometry, gnomonic_intrinsics, gnomonic_pixel_map, gnomonic_pixels_to_rays, gnomonic_rotation, gnomonic_to_equirectangular, rays_to_gnomonic_pixels, rays_to_erp_pixels, relative_camera_pose, tangent_offsets_to_rays, world_points_to_camera_rays

spherical-instance-pipeline-root-convenience

Experimental

panorai.pipeline

panorai-spherical-instance-pipeline/v1-experimental

CAMGuidedSphericalInstances, CAMRegionProposals, SAMMaskRefinement, SphericalCAM, SphericalInstanceFusion

The user-facing spherical computer-vision guide is maintained in How PanorAi executes computer vision on spherical images. It starts from what users can do across projection, image processing, features and matching, two-view geometry, multiview reconstruction, and SLAM. Within each theme it identifies sphere-native, projection-domain, and hybrid routes, independently from C++ acceleration.

ERP data enters canonical geometry, producing projected data and an explicit support mask that meet again in mask-aware reconstruction.

Canonical geometry

panorai.geometry owns the coordinate frame, projection formulas, sampling, layouts, dtype rules, and support masks. Functional calls and immutable projector objects delegate to one engine so NumPy, Torch, cubemap, and gnomonic paths do not redefine the mathematics independently.

Fundamental operations and composition

panorai.core defines immutable specifications and small spherical operations. panorai.core.numpy is the required implementation path and panorai.core.torch is the explicit optional differentiable path. Both consume the same geometry-v1 lattice and tangent-neighbourhood mathematics; native acceleration is an execution choice, not a second numerical contract.

Applications compose these primitives with ordinary language/backend constructs. They do not require a PanorAi pipeline merely to add, subtract, branch, concatenate, or apply pointwise nonlinearities. The typed container boundary lives in panorai.workflow: a composed model runs directly on an array/tensor and uses predict only when it must extract fields from or materialize fields into EquirectangularImage.

Compatibility containers

EquirectangularImage, GnomonicFace, and GnomonicFaceSet retain the 3.0 object-oriented workflow. In 3.1 they can accept canonical geometry specs, but they remain compatibility APIs rather than the source of new geometry semantics.

Validity and blending

Projection returns data together with geometric support. A valid black RGB pixel, label zero, or radial range zero remains valid when its mask is true. An unsupported non-zero value remains unsupported. Blenders consume those explicit masks and never infer validity from numeric values.

Scope boundary

Training pipelines, datasets, checkpoints, research metrics, and vendored model implementations are outside the projection core and are excluded from the 3.1 wheel and sdist. panorai.depth contains only lazy compatibility adapters to separately installed upstream projects; PCD remains an optional compatibility surface. See API stability in 3.x for the supported surface and PanorAi canonical spherical geometry for the mathematical contract.

Evidence and graph boundary

Image processing, features, pose, depth, semantics, reconstruction, stereo, and SLAM own their algorithms and result contracts. panorai.graph consumes those prepared results. Its builder does not detect, match, infer depth, run a network, estimate pose, perform SLAM, or choose a provider.

This direction is intentional:

explicit providers / existing PanorAi domains
                 |
                 v
    typed observations and pair evidence
                 |
       association + spatial posterior
                 |
                 v
    entity lifecycle and lineage events
                 |
                 v
      immutable snapshot -> JSONL/NPZ -> query

Views, semantic region observations, and entity hypotheses are distinct node types. Scale-free and unbounded posteriors remain non-metric; metric summaries are derived only from finite metric support. Correlation groups prevent repeated transformations of the same observation from creating false confidence, and the conservative-v1 policy requires at least two independent views before entity confirmation.

Version boundary

The 3.x line introduces core and workflow additively. The generic Torch layers used by panorai.ops.spherical.nn are Stable on CPU; the remaining low-level specifications, backend facades and workflow adapters keep their separately recorded tiers. It does not remove or warn on established imports. Physical canonical-package changes remain a 4.0 decision and are published in Planned 4.0 destination map.