code/python/datasets/sample4/README.md

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.