NVIDIA jetson编译opencv 源码 python版本
安装 jetson-stats 查看GPU的利用率
sudo apt-get install python3-pip
sudo -H pip3 install jetson-stats
运行 jtop 进行查看
opencv 编译python版本 编译命令
cmake -D CMAKE_INSTALL_PREFIX=/usr/local/opencv-4.6.0 -D CMAKE_BUILD_TYPE=RELEASE -D WITH_OPENGL=ON -D BUILD_TIFF=ON -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_GTK_2_X=ON -D WITH_QT=ON -D WITH_V4L=ON -D WITH_TBB=ON -D WITH_GTK=ON -D ENABLE_FAST_MATH=ON -D WITH_FFMPEG=ON -D WITH_CUDA=OFF -D WITH_CUDNN=OFF -D CUDA_FAST_MATH=ON -D WITH_CUBLAS=ON -D WITH_NVCUVID=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_JAVA=OFF -D INSTALL_C_EXAMPLES=OFF -D BUILD_EXAMPLES=OFF -D WITH_EIGEN=OFF -D BUILD_opencv_python2=OFF -D BUILD_opencv_python3=ON -D PYTHON3_LIBRARY=/home/nvidia/anaconda3/lib -D PYTHON3_INCLUDE_DIR=/home/nvidia/anaconda3/include -D PYTHON3_INCLUDE_DIR=/usr/include/python3.8 -D PYTHON3_INCLUDE_PATH=/usr/include/python3.8 -D HAVE_opencv_python3=ON -D PYTHON3_NUMPY_INCLUDE_DIRS=/home/nvidia/anaconda3/lib/python3.8/site-packages/numpy/core/include -D PYTHON3_PACKAGES_PATH=/home/nvidia/anaconda3/lib/python3.8/site-packages OPENCV_EXTRA_MODULES_PATH=/home/nvidia/library/opencv_contrib-4.6.0/modules ..
Anaconda arm/aarch64 版本
arm/aarch64架构安装conda环境
Index of /anaconda/archive/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror
jetpack 的 torch版本
PyTorch for Jetson - Announcements - NVIDIA Developer Forums
PyTorch for Jetson - Announcements - NVIDIA Developer Forums