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Introduce SceneGraphBuilder + SceneGraphBuildConfig to decouple scene graph construction from the verification notebook. The builder handles batch inference, hash encoding, and object node creation internally. - Add SceneGraphBuilder.build_from_room_views() as the main entry point - Add SceneGraphBuildConfig for inference_batch_size and position strategy - Add SceneGraphBuildArtifacts to carry cropped images and debug metadata - Extend ObjectNode with optional detection metadata (label, confidence, bbox_xyxy, source_view_id, position_confidence) - Add RoomView frozen dataclass as a structured view container - Add flatten_room_views() utility to replace inline list comprehensions - Refactor notebooks/verification.py to use the new builder API BREAKING CHANGE: ObjectNode now accepts additional optional fields; direct scene_graph.objects[obj_id] = ObjectNode(...) construction in the notebook is replaced by builder.build_from_room_views(...).
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
"""Scenegraph public API.
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This module exports the main scenegraph objects for easy import:
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from scenegraph import SimpleSceneGraph, RoomNode, ObjectNode
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"""
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from .builder import SceneGraphBuildArtifacts, SceneGraphBuildConfig, SceneGraphBuilder
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from .hash_codec import (
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bits_tensor_to_cam_row,
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bits_tensor_to_hash_bytes,
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cam_row_to_hash_bytes,
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hash_bytes_to_bits_array,
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hash_bytes_to_cam_row,
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)
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from .objectnode import ObjectNode
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from .query import (
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ImageHashPipeline,
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ImageSceneGraphQueryResult,
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query_image_against_scene_graph,
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)
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from .roomnode import RoomNode
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from .scenegraph import SceneGraphMatch, SimpleSceneGraph
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from .software_cam import CamMatch, SoftwareCamIndex, xnor_popcount_score
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__all__ = [
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"CamMatch",
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"ImageHashPipeline",
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"ImageSceneGraphQueryResult",
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"ObjectNode",
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"RoomNode",
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"SceneGraphBuildArtifacts",
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"SceneGraphBuildConfig",
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"SceneGraphBuilder",
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"SceneGraphMatch",
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"SimpleSceneGraph",
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"SoftwareCamIndex",
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"bits_tensor_to_cam_row",
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"bits_tensor_to_hash_bytes",
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"cam_row_to_hash_bytes",
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"hash_bytes_to_bits_array",
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"hash_bytes_to_cam_row",
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"query_image_against_scene_graph",
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"xnor_popcount_score",
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]
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