vins-fusion gpu， docker， opencv4.5.4(cuda) 复现

目录

• 1. opencv cuda 安装
• 2. CV-Bridge的编译
• 3. Vins-Fusion GPU编译安装
• 4. 运行

 

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代码：https://gitee.com/zheng-yongjie/vins-fusion-gpu-cv4?skip_mobile=true

硬件： jetson xavier nx， 系统 20.04

nvcc -V 可查看cuda版本

本文在docker里面复现

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1. opencv cuda 安装

root@ubuntu:~# pwd
/root
 
wget -O opencv-4.5.4.zip https://github.com/opencv/opencv/archive/4.5.4.zip # check version
wget -O opencv_contrib-4.5.4.zip wget https://github.com/opencv/opencv_contrib/archive/4.5.4.zip
unzip opencv.zip && unzip opencv_contrib-4.5.4.zip
cd opencv-4.5.4/ && mkdir build && cd build
cmake   -D CMAKE_BUILD_TYPE=RELEASE \
        -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.5.4/modules \
        -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda \
        -D CMAKE_INSTALL_PREFIX=/workspace/opencv-4.5.4 \
        -D WITH_CUDA=ON \
        -D CUDA_ARCH_BIN=7.2 \ # nx
        -D CUDA_ARCH_PTX=7.2 \
        -D ENABLE_FAST_MATH=ON \
        -D CUDA_FAST_MATH=ON \
        -D WITH_CUBLAS=ON \
        -D WITH_LIBV4L=ON \
        -D WITH_GSTREAMER=ON \
        -D WITH_GSTREAMER_0_10=OFF \
        -D WITH_QT=OFF \
        -D WITH_OPENGL=ON \
        -D CUDA_NVCC_FLAGS="--expt-relaxed-constexpr" \
        -D WITH_TBB=ON ..
 
export http_proxy=http://IP:7890 # 需要打开 clash 中允许局域网连接
export https_proxy=http://IP:7890
 
make -j8
sudo make install # 安装到：/workspace/opencv-4.5.4 下
 
# 删除下载的安装包即可。（可选）
 
pkg-config --modversion opencv4  # Check opencv Version
 
sudo find /workspace -name "OpenCVConfig.cmake" # 找到 OpenCVConfig.cmake 文件
/workspace/opencv-4.5.4/lib/cmake/opencv4/OpenCVConfig.cmake
 

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2. CV-Bridge的编译

在安装 OpenCV4 后必须重新构建 cv_bridge，这样就不会发生 OutOfMemoryError。

https://github.com/ros-perception/vision_opencv/tree/noetic

直接下载 noetic zip。

root@ubuntu:~/vision_opencv-noetic# pwd
/root/vision_opencv-noetic
root@ubuntu:~/vision_opencv-noetic/cv_bridge# vim CMakeLists.txt # 修改为自己的 opencv 安装路径
 
 20 # set(_opencv_version 4)
 21 # 指定 OpenCVConfig.cmake 的路径
 22 set(OpenCV_DIR "/workspace/opencv-4.5.4/lib/cmake/opencv4")
 
# 编译
mkdir build && cd build
cmake ..
make -j8

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3. Vins-Fusion GPU编译安装

root@ubuntu:/workspace# mkdir -p vins_fusion_gpu_catkin_ws/src 
root@ubuntu:/workspace# cd vins_fusion_gpu_catkin_ws/src && git clone https://gitee.com/jerry-ironman/vins-fusion-gpu-cv4.git 
 
# 在宿主机上更改代码库权限，以方便修改代码。
sudo chown -R 用户名:用户组 vins_fusion_gpu_catkin_ws
 
# 修改 cv_bridge_DIR 和 OpenCV_DIR
vim vins-fusion-gpu-cv4-master/vins_estimator/CMakeLists.txt
 9 set(cv_bridge_DIR /root/vision_opencv-noetic/cv_bridge/build/devel/share/cv_bridge/cmake)
 21 set(OpenCV_DIR "/workspace/opencv-4.5.4/lib/cmake/opencv4")
 
vim vins-fusion-gpu-cv4-master/camera_models/CMakeLists.txt
 16 set(OpenCV_DIR "/workspace/opencv-4.5.4/lib/cmake/opencv4")
 
vim vins-fusion-gpu-cv4-master//loop_fusion/CMakeLists.txt
 9 set(cv_bridge_DIR /root/vision_opencv-noetic/cv_bridge/build/devel/share/cv_bridge/cmake)
 19 set(OpenCV_DIR "/workspace/opencv-4.5.4/lib/cmake/opencv4")
 

编译：

root@ubuntu:/workspace/vins_fusion_gpu_catkin_ws# catkin_make -j8

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4. 运行

更改配置参数， 加入：

use_gpu: 1
use_gpu_acc_flow: 1
 
rosrun vins vins_node src/VINS-Fusion/config/custom/xx.yaml