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"CAM_FRONT_LEFT", "path": "code/python/datasets/sample4/frames/sample_003/cameras/CAM_FRONT_LEFT.jpg", "sha256": "1f20956c425bdc84da1bf2610b7214d48930652782394aa0f1f3bef94ce0be35", "bytes": 146337 }, { "name": "CAM_BACK", "path": "code/python/datasets/sample4/frames/sample_003/cameras/CAM_BACK.jpg", "sha256": "34e84e10e04ab229864bd0ddd3067442c0b58e249eeb48088ab417cb259b4985", "bytes": 112516 }, { "name": "CAM_BACK_LEFT", "path": "code/python/datasets/sample4/frames/sample_003/cameras/CAM_BACK_LEFT.jpg", "sha256": "cdf1f064c61add58e17d7011713aebbe40be9d7e8290c8816f585fca3841e033", "bytes": 113884 }, { "name": "CAM_BACK_RIGHT", "path": "code/python/datasets/sample4/frames/sample_003/cameras/CAM_BACK_RIGHT.jpg", "sha256": "eae354ba8407662caa6c50934b6ee306a4e5aaaeec0b0f2e40c2f6b481485d3f", "bytes": 135629 } ] } } } }, "contract": { "image_pipeline": "cv2.imread BGR -> RGB -> normalize(mean=[123.675,116.28,103.53], std=[58.395,57.12,57.375]) -> cv2.resize(800,450) -> CHW -> zero-pad to (6,3,480,800)", "camera_order": [ "CAM_FRONT", "CAM_FRONT_RIGHT", "CAM_FRONT_LEFT", "CAM_BACK", "CAM_BACK_LEFT", "CAM_BACK_RIGHT" ], "model_path": "W8A8 backbone + scene-start/temporal encoder + decoder AidLite QNN contexts", "temporal_state": "scene-start uses reset semantics; temporal frames use previous live bev_embed as prev_bev", "scene_start_inputs": "camera_images + can_bus + lidar2img; no prev_bev/shift input is required for scene-start encoder", "temporal_inputs": "camera_images + can_bus + lidar2img + shift + rotated previous live bev_embed" } }