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.