# pip install opencv-python wget https://raw.githubusercontent.com/mdegans/nano_build_opencv/master/build_opencv.sh sudo chmod build_opencv.sh./build_opencv.sh # 如果需要特定版本的opencv: #./build_opencv.sh4.4.0 注意,这个sh脚本会去下载OpenCV的仓库,国内网络可以考虑替换为以下地址: git clone ...
github.com/opencv/openc 解压在同一个文件夹下面 cd opencv-4.5.5 mkdir 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=...
sudo ln -s /usr/lib/python3/dist-packages/sip* /home/sxf/archiconda3/envs/py36/lib/python3.6/site-packages 1. 2. 3. 安装OpenCV 可以先尝试这个两个方法,如果不能用,再往下看编译方法: sudo apt-get install python3-opencv 1. pip install opencv-python 1. 可参考:OpenCV with CUDA for Jets...
OpenCV > 2.4.3 not found. 解决方案:修改两处CMakeLists.txt nano ORB_SLAM3/CMakeLists.txt nano ORB_SLAM3/Thirdparty/DBoW2/CMakeLists.txt 找到"find_package(OpenCV"字样 修改为自身OPENCV版本号 笔者为3.4.10,则无需修改 find_package(OpenCV 3.0 QUIET) #find_package(OpenCV 4.1 QUIET) 1. 2. ...
进行make,然后等,大概2-3个小时 make -j12 # 十二线程编译 make编译完成后,进行安装 sudo make install 4.验证安装结果 python3 -c "import cv2; print('OpenCV with CUDA: ', cv2.cuda.getCudaEnabledDeviceCount() > 0)" 然后有True就ok了的
1 卸载默认安装的 opencv 默认使用 jetpack 安装的 opencv 是没有 cuda 加速的,无法充分利用 Jetson 的 GPU 性能; 通过jetson_release -v 命令进行查看: 1.1 查看 安装的 opencv 版本信息: 代码语言:bash AI代码解释 opencv_version 1.2 查看安装的 jetpack 版本和组件信息: 代码语言:bash AI代码解释 jetson_rel...
JETSON TK1 ~ 安装Cuda和OpenCV3 一:安装Cuda6.51:下载安装包Cuda6.5 2、在TK1上安装软件包:1 2 3 4 5 cd ~/Downloads sudo dpkg -i cuda-repo-l4t-r21.3-6-5-prod_6.5-42_armhf.deb sudo apt-get update sudo apt-get install cuda-toolkit-6-5 sudo usermod -a -G video $USER...
jetson Nano安装pycuda(编译安装版) 代码语言:javascript 运行次数:0 AI代码解释 pip install opencv-python 现在都好智能哎,版本都识别出来了 代码语言:javascript 代码运行次数:0 运行 AI代码解释 WARNING:The scripts f2py,f2py3 and f2py3.6are installedin'/home/yunswj/.local/bin'which is not onPATH....
1.安装CUDA 在https://developer.nvidia.com/linux-tegra-r213下载CUDA 6.5 Toolkit for L4T Rel 21.3和OpenCV4Tegra for L4T 21.x,注意要下对版本。如果你的是R21.5版本的,可以在https://developer.nvidia.com网中搜索jetson tk1,然后找Linux For Tegra R21.5对应的网页。
Building OpenCV with CUDA support is a task and a half. Many folks get a surprise when the try to run the result in Python. Fortunately, there’s a solution. Looky here: Background Python is a general purpose programming language which runs on many different machines, architectures and opera...