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Add deployment to README (#462)

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@ -196,6 +196,9 @@ torchpack dist-run -np 8 python tools/train.py configs/nuscenes/seg/fusion-bev25
Note: please run `tools/test.py` separately after training to get the final evaluation metrics. Note: please run `tools/test.py` separately after training to get the final evaluation metrics.
## Deployment on TensorRT
[CUDA-BEVFusion](https://github.com/NVIDIA-AI-IOT/Lidar_AI_Solution/tree/master/CUDA-BEVFusion): Best practice for TensorRT, which provides INT8 acceleration solutions and achieves 25fps on ORIN.
## FAQs ## FAQs
Q: Can we directly use the info files prepared by mmdetection3d? Q: Can we directly use the info files prepared by mmdetection3d?