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fix(bev_fusion): revert the addition of TRAFFIC_CONE and BARRIER from the config to match the current released model version - #13506
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xmfcx merged 1 commit intoOct 18, 2026
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…tch the current released model version Signed-off-by: Masaki Baba <masaki.baba.2@tier4.jp>
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October 16, 2026 09:38
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Thank you @a-maumau -san. I compared the files with the released t4base_120m/v2 model. After this PR, ml_package_bevfusion_lidar.param.yaml, ml_package_bevfusion_camera_lidar.param.yaml, and detection_class_remapper.param.yaml are byte-identical to the v2.0 files on Hugging Face. This fixes #13023.
After the merge, please also sync bevfusion_lidar.param.yaml and bevfusion_camera_lidar.param.yaml in autoware_launch, as you wrote. They still have the 7-class yaw_norm_thresholds and the TRAFFIC_CONE and BARRIER scores.
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Description
This PR will revert the changes that was made in #12732 to match the current published model version.
The configs in the autoware launch should be synced after this PR merged.
Related links
Parent Issue:
How was this PR tested?
Tested with sample rosbag and confirmed the output from bevfusion has no issues.
Notes for reviewers
None.
Interface changes
None.
Effects on system behavior
None.