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During run torchpack dist-run -np 1 python tools/test.py configs/nuscenes/seg/fusion-bev256d2-lss.yaml pretrained/bevfusion-seg.pth --eval map
I had the same problem as #461at first, but I added the following code after line 185 in nusences_converter.py file location = nusc.get( "log", nusc.get("scene", sample["scene_token"])["log_token"] )["location"]
And added location to the info 'location': location,
Rerun nusecenes_converter to regenerate the PKL file, the following error was encountered
AttributeError: 'dict' object has no attribute 'in_range_bev'
The text was updated successfully, but these errors were encountered:
I have also got this problem during run torchpack dist-run -np 1 python tools/test.py configs/nuscenes/seg/fusion-bev256d2-lss.yaml pretrained/bevfusion-seg.pth --eval map.
I don't know how to evaluate the pretrained model for the segmentation variant of BEVFusion. @zhijian-liu do you have any suggestions?
During run
![1](https://private-user-images.githubusercontent.com/124240859/284495251-96b01010-93ea-47c2-874d-0b02736cbd10.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTg2NjA0NzEsIm5iZiI6MTcxODY2MDE3MSwicGF0aCI6Ii8xMjQyNDA4NTkvMjg0NDk1MjUxLTk2YjAxMDEwLTkzZWEtNDdjMi04NzRkLTBiMDI3MzZjYmQxMC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjE3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYxN1QyMTM2MTFaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1hZTc4ZjBjODRjOTBkODM0Nzk5MGVkYzJiYWU2NDk5ZjMwZDFmYWFjMGRlNDZlMTk4OTBmMzI0YmZlZjRmNjQ5JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.dKWewKQHgPCm2_t5Yg1aaRcPXJxrJ6cC9BtWy15O3wI)
![2](https://private-user-images.githubusercontent.com/124240859/284495307-84a683f1-4a49-4b0f-a0e1-5f830d2ddd29.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTg2NjA0NzEsIm5iZiI6MTcxODY2MDE3MSwicGF0aCI6Ii8xMjQyNDA4NTkvMjg0NDk1MzA3LTg0YTY4M2YxLTRhNDktNGIwZi1hMGUxLTVmODMwZDJkZGQyOS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNjE3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDYxN1QyMTM2MTFaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0xMzNmNjk0YmE1NGQ2YWRhOTNjZjI1ZGY3ZmY4NzI1YTM1OWIyYmE5OTE1MmYwZjkyZWY3MmUxNzNkOWYzYzNjJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.7Kh_TpvpFcSEuYwJD9VwRS5mKrDVooMkwpFjD-KOh3w)
torchpack dist-run -np 1 python tools/test.py configs/nuscenes/seg/fusion-bev256d2-lss.yaml pretrained/bevfusion-seg.pth --eval map
I had the same problem as #461at first, but I added the following code after line 185 in
nusences_converter.py
file location = nusc.get( "log", nusc.get("scene", sample["scene_token"])["log_token"] )["location"]
And added location to the info
'location': location,
Rerun nusecenes_converter to regenerate the PKL file, the following error was encountered
AttributeError: 'dict' object has no attribute 'in_range_bev'
The text was updated successfully, but these errors were encountered: