https://spyjetson.blogspot.com/2020/08/jetson-xavier-nx-opencv-44.html
Xavier NX - OpenCV 4.4
Xavier NX only works with JetPack 4.4 or later. And JetPack 4.4 is provided with OpenCV 4.1.1 installed. In most cases, there is no problem with using OpenCV 4.1.1. However, from OpenCV 4.2+, Super Resolution function is provided as C/C++ API. And from 4.3, it provides Python API. And finally, in 4.4, CUDA GPU acceleration is available. Therefore, it is recommended to use version 4.4 or higher to fully use the Super Resolution function provided by OpenCV. Therefore, to use OpenCV's SuperResolution, you need to delete the OpenCV 4.1.1 version of JetPack 4.4 and install 4.4 newly.
If you are not interested in OpenCV's SuperResolution feature, you do not necessarily need to upgrade to OpenCV 4.4.
Installing OpenCV 4.4
The description from now on can also be applied to Jetson Nano and Jetson TX2 using JetPack 4.4.
One thing to note is -D CUDA_ARCH_BIN="7.2", which specifies CUDA Architecture in the process of creating Makefile using cmake. Nano, TX2, and Xavier have different values. These values are described in JetsonNano-Useful tips before using Nano.
The following is a script file that can be easily installed.
每个板子对应的版本不一样，所以要根据板子修改参数。
opencv4.4_xavier_nx.sh#!/bin/bash
#
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.
#
if [ "$#" -ne 1 ]; then
echo "Usage: $0 <Install Folder>"
exit
fi
folder="$1"
user="nvidia"
passwd="nvidia"
echo "** Remove OpenCV4.1 first"
sudo sudo apt-get purge *libopencv*
echo "** Install requirement"
sudo apt-get update
sudo apt-get install -y build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
sudo apt-get install -y python2.7-dev python3.6-dev python-dev python-numpy python3-numpy
sudo apt-get install -y libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
sudo apt-get install -y libv4l-dev v4l-utils qv4l2 v4l2ucp
sudo apt-get install -y curl
sudo apt-get update
echo "** Download opencv-4.4.0"
cd $folder
curl -L https://github.com/opencv/opencv/archive/4.4.0.zip -o opencv-4.4.0.zip
curl -L https://github.com/opencv/opencv_contrib/archive/4.4.0.zip -o opencv_contrib-4.4.0.zip
unzip opencv-4.4.0.zip
unzip opencv_contrib-4.4.0.zip
cd opencv-4.4.0/
echo "** Building..."
mkdir release
cd release/
cmake -D WITH_CUDA=ON -D ENABLE_PRECOMPILED_HEADERS=OFF -D CUDA_ARCH_BIN="7.2" -D CUDA_ARCH_PTX="" -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.4.0/modules -D WITH_GSTREAMER=ON -D WITH_LIBV4L=ON -D BUILD_opencv_python2=ON -D BUILD_opencv_python3=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j6
sudo make install
echo "** Install opencv-4.4.0 successfully"
echo "** Bye :)"
更多安装脚本
https://github.com/raspberry-pi-maker/NVIDIA-Jetson/tree/master/useful_scripts
#安装脚本给与执行权限 sudo chmod -R 777 opencv4.4_xavier_nx.sh # pwd 查看路径 安装脚本 指定目录 ./opencv4.4_xavier_nx.sh /home/nx/software/opencv44
测试
python3 >>> import cv2 >>> from cv2 import dnn_superres >>> cv2.__version__ '4.4.0'
更多安装
opencv4.4_jetson_nano.sh#!/bin/bash
#
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.
#
if [ "$#" -ne 1 ]; then
echo "Usage: $0 <Install Folder>"
exit
fi
folder="$1"
user="nvidia"
passwd="nvidia"
echo "** Remove OpenCV4.1 first"
sudo sudo apt-get purge *libopencv*
echo "** Install requirement"
sudo apt-get update
sudo apt-get install -y build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
sudo apt-get install -y python2.7-dev python3.6-dev python-dev python-numpy python3-numpy
sudo apt-get install -y libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
sudo apt-get install -y libv4l-dev v4l-utils qv4l2 v4l2ucp
sudo apt-get install -y curl
sudo apt-get update
echo "** Download opencv-4.4.0"
cd $folder
curl -L https://github.com/opencv/opencv/archive/4.4.0.zip -o opencv-4.4.0.zip
curl -L https://github.com/opencv/opencv_contrib/archive/4.4.0.zip -o opencv_contrib-4.4.0.zip
unzip opencv-4.4.0.zip
unzip opencv_contrib-4.4.0.zip
cd opencv-4.4.0/
echo "** Building..."
mkdir release
cd release/
cmake -D WITH_CUDA=ON -D ENABLE_PRECOMPILED_HEADERS=OFF -D CUDA_ARCH_BIN="5.3" -D CUDA_ARCH_PTX="" -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.4.0/modules -D WITH_GSTREAMER=ON -D WITH_LIBV4L=ON -D BUILD_opencv_python2=ON -D BUILD_opencv_python3=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j4
sudo make install
echo "** Install opencv-4.4.0 successfully"
echo "** Bye :)"
#!/bin/bash
#
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.
#
if [ "$#" -ne 1 ]; then
echo "Usage: $0 <Install Folder>"
exit
fi
folder="$1"
user="nvidia"
passwd="nvidia"
echo "** Remove OpenCV4.1 first"
sudo sudo apt-get purge *libopencv*
echo "** Install requirement"
sudo apt-get update
sudo apt-get install -y build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
sudo apt-get install -y python2.7-dev python3.6-dev python-dev python-numpy python3-numpy
sudo apt-get install -y libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
sudo apt-get install -y libv4l-dev v4l-utils qv4l2 v4l2ucp
sudo apt-get install -y curl
sudo apt-get update
echo "** Download opencv-4.4.0"
cd $folder
curl -L https://github.com/opencv/opencv/archive/4.4.0.zip -o opencv-4.4.0.zip
curl -L https://github.com/opencv/opencv_contrib/archive/4.4.0.zip -o opencv_contrib-4.4.0.zip
unzip opencv-4.4.0.zip
unzip opencv_contrib-4.4.0.zip
cd opencv-4.4.0/
echo "** Building..."
mkdir release
cd release/
cmake -D WITH_CUDA=ON -D ENABLE_PRECOMPILED_HEADERS=OFF -D CUDA_ARCH_BIN="6.2" -D CUDA_ARCH_PTX="" -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.4.0/modules -D WITH_GSTREAMER=ON -D WITH_LIBV4L=ON -D BUILD_opencv_python2=ON -D BUILD_opencv_python3=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j4
sudo make install
echo "** Install opencv-4.4.0 successfully"
echo "** Bye :)"