shdragron
/

RoboGeo-checkpoints

autonomous-driving

3d-object-detection

bev-segmentation

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shdragron commited on 6 days ago

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@@ -44,7 +44,7 @@ platforms of cross-platform transfer.
 Full checksums are in `SHA256SUMS`. Detection checkpoints hold `state_dict` and `meta.CLASSES`;
 segmentation checkpoints hold `state_dict`. All load with `torch.load(path, weights_only=True)`.
-Training and evaluation code: [shdragron/RoboGeo2027](https://github.com/shdragron/RoboGeo2027) (coming soon).
 ## License

 Full checksums are in `SHA256SUMS`. Detection checkpoints hold `state_dict` and `meta.CLASSES`;
 segmentation checkpoints hold `state_dict`. All load with `torch.load(path, weights_only=True)`.
+Training and evaluation code: [shdragron/RoboGeo](https://github.com/shdragron/RoboGeo).
 ## License