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1765773 | 1 2 3 4 5 6 7 8 9 10 11 | # BEVFormer Sample4 Dataset
Self-contained four-frame continuous sample for the AidLite board demo.
- Each frame contains six original nuScenes camera JPG files under `cameras/`.
- `python/utils.py` preprocesses those JPG files on the board before backbone inference.
- Small raw tensors are still included for BEVFormer metadata: `can_bus`, `shift`, `lidar2img`, and temporal rotation inputs.
- frame 000 uses `encoder_scene_start` semantics.
- frames 001-003 use `encoder_temporal` with the previous live `bev_embed`.
- Paths in `asset_manifest.json` are relative to `/home/aidlux` when copied to the board.
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