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"_comment": "BEVFormer board demo runtime config. Paths are relative to the bevformer_delivery_demo root.",
"name": "bevformer_delivery_demo",
"default_variant": "strict_w8a8_train64",
"model_type": "QNN240",
"models": {
"_comment": "Four QNN context binaries used by the board-side full inference chain.",
"backbone": "models/QCS8550/FP16/backbone_context.bin.aidem",
"encoder_scene_start": "models/QCS8550/FP16/scene_start_encoder_context.bin.aidem",
"encoder_temporal": "models/QCS8550/FP16/temporal_encoder_context.bin.aidem",
"decoder": "models/QCS8550/FP16/decoder_context.bin.aidem"
},
"sha256": {
"_comment": "Expected SHA256 values for model integrity audit.",
"backbone": "5eee1fe5cfdd6e5603e9bacf00c9d1bd73d81f4086151fbdb8f591cf425d51c0",
"encoder_scene_start": "7fb661a05e1a1d865e391d5ad6ddd43a83063a4de35c1176268e1f7c93de93ae",
"encoder_temporal": "540798cabfe808601ef17600bb00136f38c6afad0671252830a178cec55030a4",
"decoder": "a1f89cde2a000b11d8411d8ec39d32f448f8eb4572b41b72e7ecdd352f85ac76"
},
"inputs": {
"_comment": "The bundled sample is four continuous frames from raw six-camera JPGs.",
"asset_manifest": "code/python/datasets/sample4/asset_manifest.json",
"frame_count": 4,
"scene_start_indices": [
0
],
"preprocess_workers": 6
},
"postprocess": {
"_comment": "NMSFreeCoder contract and saved detection output format.",
"nms_contract": "code/python/configs/nms_runtime_contract.json",
"output": "frameXXX_final_coordinates.npz"
},
"visualization": {
"_comment": "Camera-grid visualization generated from W8A8 detections and bundled camera JPGs.",
"enabled_by_default": true,
"output": "frameXXX_camera_grid.png + sample4_camera_grid.gif",
"score_thr": 0.25,
"max_boxes": 80
},
"outputs": {
"_comment": "Default output root. If --output_dir is omitted, each run is saved under outputs/YYYY_MM_DD_HH_MM.",
"default_dir": "outputs"
}
}
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