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Oleksandr Bezdieniezhnykh
af0dbe863a
NetVLAD is the C2 comparative baseline per the engine rule (every production-default backbone ships with a simple-baseline alongside). Runs on the C7 PyTorch FP16 runtime (NOT TRT) so a TRT engine compile bug cannot simultaneously break NetVLAD AND UltraVPR. Production changes: - c2_vpr/net_vlad.py — NetVladStrategy + module-level create() factory. Constructor wires InferenceRuntimeCut + DescriptorIndexCut + NetVladBackbonePreprocessor + DescriptorNormaliser + FaissBridge. embed_query pipeline: preprocess -> runtime.infer -> dual-stage normalisation (intra-cluster THEN global L2) -> VprQuery. retrieve_topk delegates one-line to FaissBridge. - c2_vpr/_net_vlad_architecture.py — Arandjelovic et al. 2016 NetVLAD layer over torchvision VGG16 features + optional Linear PCA projection to descriptor_dim (default 4096; published Pittsburgh reference uses K*D=64*512=32768 raw + Linear(32768, 4096) PCA). - c2_vpr/_preprocessor_net_vlad.py — OpenCV-based image preprocessor: decode -> centre-crop square -> resize (480, 480) -> ImageNet normalisation -> FP16 NCHW. Calibration is not consumed (NetVLAD is calibration-agnostic per published preprocessing chain). - c2_vpr/inference_runtime_cut.py — NEW AZ-507 consumer-side cut mirroring C7 InferenceRuntime; lets c2_vpr stay AZ-507-clean. - c2_vpr/config.py — added netvlad_descriptor_dim: int = 4096 knob. - helpers/descriptor_normaliser.py — added intra_cluster_normalise (DescriptorNormaliser v1.0.0 -> v1.1.0; backward-compatible add). - runtime_root/vpr_factory.py — added _register_strategy_architecture helper that binds (MODEL_NAME, architecture_factory(descriptor_dim)) to C7's architecture registry before delegating to the strategy's create() factory. Keeps the c7 import at L4, preserves AZ-507. - fdr_client/records.py — registered vpr.embed_query, vpr.backbone_error, vpr.preprocess_error record kinds. Tests: - tests/unit/c2_vpr/test_net_vlad.py — 31 tests covering all 11 ACs + preprocessor contract + architecture factory + constructor validation + FDR record emission. - tests/unit/test_az283_descriptor_normaliser.py — +8 tests for the new intra_cluster_normalise. - tests/unit/test_az272_fdr_record_schema.py — +3 fixture payloads. Full unit suite: 1608 passed / 80 env-skipped (+43 new tests). Per-batch code review (batch_46_review.md): PASS_WITH_WARNINGS (4 Low-severity hygiene findings; no Critical/High/Medium). Architectural notes: - The spec implied c2_vpr.net_vlad.create() registers the architecture with C7. That violates AZ-507 (no cross-component imports). Resolved by exposing MODEL_NAME + architecture_factory(descriptor_dim) on the strategy module and having the composition root perform the C7 bind. - C7 PyTorch runtime API names in the spec (forward, load_engine) were outdated; aligned implementation with the live v1.0.0 Protocol (infer, compile_engine + deserialize_engine). Spec hygiene flagged in review F2. Co-authored-by: Cursor <cursoragent@cursor.com>