Fix runtime: load local DINOv3 backbones without torch.hub hubconf

ManipDet/models/dinov3_loader.py

@@ -4,6 +4,7 @@ Loads from official facebookresearch/dinov3 repository.
 Supports offline loading via source='local' + backbone_weights_path.
 """
 import os
+import sys
 import torch
 import torch.nn as nn
 from typing import Optional
@@ -77,7 +78,12 @@ def load_dinov3_backbone(
             raise ValueError("weights must be provided when source='local'")
         if not os.path.isdir(weights):
             raise ValueError(f"Local source requires a directory path, got: {weights}")
-        model = torch.hub.load(weights, model_name, source='local', pretrained=False)
+        if weights not in sys.path:
+            sys.path.insert(0, weights)
+        from dinov3.hub import backbones as dinov3_backbones
+        if not hasattr(dinov3_backbones, model_name):
+            raise ValueError(f"Unknown DINOv3 backbone model: {model_name}")
+        model = getattr(dinov3_backbones, model_name)(pretrained=False)
         if backbone_weights_path is not None and os.path.isfile(backbone_weights_path):
             checkpoint = torch.load(backbone_weights_path, map_location='cpu')
             state_dict = checkpoint.get('state_dict') or checkpoint.get('model') or checkpoint.get('model_state_dict') or checkpoint