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gsg213 / TFGrid

TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction
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Pretrained weights and test.py #1

Open saeid114 opened 1 week ago

saeid114 commented 1 week ago

Hi, this is an excellent work. Do you have any pre-trained weights and can you please share your test.py? Thanks

manueldiaz96 commented 1 week ago

You can find the testing method available under: https://github.com/gsg213/TFGrid/blob/231dfd0923054a5502436b9b3d49af82ae3e360e/src/tools.py#L574

saeid114 commented 6 days ago

Thank you. do you have any pre-trained model?

manueldiaz96 commented 6 days ago

Sorry, since the repo was published a while ago. We did not save the weights.

If you are still interested in BEV segmentation models, I invite you to see the following repo: https://github.com/manueldiaz96/beval

There you can find similar models and their weights.