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Update NetVLAD checkpoint paths and enhance .gitignore
ci/woodpecker/push/02-build-push Pipeline failed
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- Changed paths in documentation and configuration files to reflect the new naming convention for the NetVLAD model, transitioning from `models/netvlad/netvlad.pt` to `models/net_vlad/net_vlad.pt`.
- Updated the `.gitignore` to include additional file types and directories related to input data and locally-generated evidence frames.
- Removed the old NetVLAD checkpoint file as part of the transition to the new naming scheme.

These changes ensure consistency across the project and improve the management of generated files.
This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-05-31 19:27:32 +03:00
parent 97f5f9793c
commit ba70381346
18 changed files with 4195 additions and 24 deletions
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_docs/02_tasks/todo/AZ-965_netvlad_onnx_backbone_provisioning.md
+6 -6
View File
@@ -44,22 +44,22 @@ The user was presented options A-E on 2026-05-29 and skipped the choice. Per "us
## Goal
Provision a NetVLAD-VGG16 `.pt` checkpoint at `models/netvlad/netvlad.pt` + matching `BackboneConfig` entry in `configs/operator_replay.yaml` so the AZ-839 fixture skip-gate clears and the AZ-840 orchestrator can compose c10 (+ c2_vpr) into a real pipeline run.
Provision a NetVLAD-VGG16 `.pt` checkpoint at `models/net_vlad/net_vlad.pt` + matching `BackboneConfig` entry in `configs/operator_replay.yaml` so the AZ-839 fixture skip-gate clears and the AZ-840 orchestrator can compose c10 (+ c2_vpr) into a real pipeline run. File stem MUST equal `c2_vpr.net_vlad.MODEL_NAME == "net_vlad"` — the PyTorch FP16 runtime uses `path.stem` as the architecture-registry lookup key.
## Scope
1. **Write `scripts/mk_netvlad_checkpoint.py`** — generates a deterministic `.pt`:
* Loads `torchvision.models.vgg16(weights="IMAGENET1K_V1")` features, slices `[:-2]` to match `_NetVladVgg16.encoder`.
* Seeds `torch.manual_seed(0)`, instantiates `make_net_vlad_vgg16(num_clusters=64, encoder_dim=512, descriptor_dim=4096)`, overlays ImageNet features into `encoder.*` keys.
* Saves to `models/netvlad/netvlad.pt`.
* Saves to `models/net_vlad/net_vlad.pt`.
* Prints SHA-256 + key composition.
2. **Add `models/**/*.pt`, `*.onnx`, `*.engine` to `.gitattributes` for git-lfs**.
3. **Commit `models/netvlad/netvlad.pt` via git-lfs**.
3. **Commit `models/net_vlad/net_vlad.pt` via git-lfs**.
4. **Update `configs/operator_replay.yaml`**:
```yaml
c2_vpr:
strategy: net_vlad
backbone_weights_path: /opt/models/netvlad/netvlad.pt
backbone_weights_path: /opt/models/net_vlad/net_vlad.pt
netvlad_descriptor_dim: 4096
warn_top1_threshold: 0.30
@@ -67,7 +67,7 @@ Provision a NetVLAD-VGG16 `.pt` checkpoint at `models/netvlad/netvlad.pt` + matc
workspace_mb: 4096
backbones:
- model_name: net_vlad
onnx_path: /opt/models/netvlad/netvlad.pt
onnx_path: /opt/models/net_vlad/net_vlad.pt
expected_input_shape: [3, 480, 480]
input_name: input
```
@@ -78,7 +78,7 @@ Provision a NetVLAD-VGG16 `.pt` checkpoint at `models/netvlad/netvlad.pt` + matc
## Acceptance Criteria
* **AC-1**: `models/netvlad/netvlad.pt` exists in the repo (via git-lfs) with documented provenance + licence.
* **AC-1**: `models/net_vlad/net_vlad.pt` exists in the repo (via git-lfs) with documented provenance + licence.
* **AC-2**: `torch.load(path, weights_only=True)` + `load_state_dict(strict=True)` on `make_net_vlad_vgg16()` succeeds locally (round-trip verified before commit).
* **AC-3**: `configs/operator_replay.yaml` declares the `net_vlad` backbone in `c10_provisioning.backbones` and the `c2_vpr` block with matching `backbone_weights_path`.
* **AC-4**: `JETSON_SSH_ALIAS=<alias> bash scripts/run-tests-jetson.sh` no longer SKIPs `test_az840_e2e_real_flight_orchestration` with the empty-backbones message.