jeston编译配置cuda加速版opencv

embedded/2024/10/22 9:49:29/

1.源码下载连接

opencv：Releases - OpenCV

opencv-contrib： https://github.com/opencv/opencv_contrib

建议不要下最新版本一般我会下4.5.4 // 4.5.6 // 4.6.0 opencv和opencv-contrib版本要对齐

将下好的opencv和opencv-contrib解压将opencv-contrib解压到opencv的文件夹中

2.卸载无cuda加速的opencv

买板子时，商家装的系统一般会带cpu版本的opencv 如下面的图所示 cuda显示NO 同时记一下你的CUDA arch BIN的数值后面编译会用到，我的是8.7

可以通过在命令行输入下面这个命令查看

sudo jtop

没有这个命令的可以参考下面的文章安装

https://blog.csdn.net/qq_46941656/article/details/119570425

在命令行输入下列三行指令卸载cpu版本opencv

sudo apt purge libopencv*
sudo apt autoremove
sudo apt update

3.安装依赖库

正式编译安装opencv前需要先安装一些依赖库一定要确保全部安装成功！

sudo apt install -y build-essential checkinstall cmake pkg-config yasm git gfortran
sudo apt update
sudo apt install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
sudo apt install -y libjpeg8-dev libjasper-dev libpng12-dev libtiff5-dev libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine2-dev libv4l-dev
sudo apt install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libgtk2.0-dev libtbb-dev libatlas-base-dev libfaac-dev libmp3lame-dev libtheora-dev libvorbis-dev libxvidcore-dev libopencore-amrnb-dev libopencore-amrwb-dev x264 v4l-utils
sudo apt install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

遇到的问题：

1.无法定位libjasper-dev软件包

解决方法

sudo add-apt-repository "deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial main multiverse restricted universe"
sudo apt update
sudo apt install libjasper1 libjasper-dev

2.最后一行的python-dev无法安装

解决方法安装python3-dev替换它

sudo apt install python3 python3-dev

总之基本问题换源或者替换版本就能解决有其他问题及时搜索解决一定要确保依赖项安装成功

4.编译安装opencv

新建build文件夹

cd opencv-4.6.0
mkdir build
cd build

cmake \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX=/usr/local \
-DOPENCV_ENABLE_NONFREE=1 \
-DBUILD_opencv_python2=1 \
-DBUILD_opencv_python3=1 \
-DWITH_FFMPEG=1 \
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda \
-DCUDA_ARCH_BIN=8.7 \
-DCUDA_ARCH_PTX=8.7 \
-DWITH_CUDA=1 \
-DENABLE_FAST_MATH=1 \
-DCUDA_FAST_MATH=1 \
-DWITH_CUBLAS=1 \
-DOPENCV_GENERATE_PKGCONFIG=1 \
-DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib-4.6.0/modules \
..

编译（大概1-3小时）

make -j4

安装

sudo make install

5.验证是否安装成功

输入jtop再次查看发现CUDA变为YES

或者在命令行中输入python3代开python在import cv2 看是否成功

python3
import cv2
cv2.__version__

遇到的问题：

1.我在安装完成后发现jtop变为YES 但是命令行中却不能import成功

这是因为我的python没有cv路径

需要找到cv包的实际安装路径(我是用find指令找到的)把它加到python的系统路径中

sudo find -name"cv2*.* 2>/dev/null

import sys
sys.path.append('/usr/local/lib/python3.8/site-packages')