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BEVDet online real-time inference using CUDA, TensorRT, ROS1 & C++.

C++ 51.22% Python 14.15% C 0.78% Cuda 31.09% CMake 2.76%

bevdet-ros-tensorrt's Introduction

BEVDet by TensorRT, C++, ROS

  • This repository contains source code and models for BEVDet online real-time inference using CUDA, TensorRT, ROS1 & C++.

  • Modify the record reference modify

1 ENV

  • ubuntu-20.04、CUDA-11.3、cuDNN-8.6.0、TensorRT-8.5
  • yaml-cpp、Eigen3、libjpeg

2 Build

mkdir -p bev_ws/src
cd bev_ws/src
git clone https://github.com/linClubs/BEVDet-ROS-TensorRT.git
cd ..
catkin_make
source devel/setup.bash

3 Run

  1. generate engine

Generate the onnx TensorRT engine reference to bevdet-tensorrt-cpp engine path as follows.

# engine path
BEVDet-ROS-TensorRT
    └──ckpts
        ├── bev_stage_lt_d.engine
        ├── img_stage_lt_d.engine
        └── lt_d.yaml
  1. data preparation The rosbag folder can be downloaded from Baidu Netdisk

  2. demo test

# 1. start bevdet_node
roslaunch bevdet bevdet_node.launch

# 2  play data
rosbag play nus.bag


References


bevdet-ros-tensorrt's People

Contributors

linclubs avatar

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