https://ngc.nvidia.com/catalog/containers/nvidia:l4t-ml
NVIDIA NGC
ngc.nvidia.com
cuda optimized opencv option:
https://forums.developer.nvidia.com/t/how-to-know-opencv-is-optimized-for-jetson-tx2/68509
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=OFF -D WITH_IPP=OFF -D WITH_1394=OFF -D BUILD_WITH_DEBUG_INFO=OFF -D BUILD_DOCS=OFF -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=OFF -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D WITH_QT=OFF -D WITH_GTK=ON -D WITH_OPENGL=ON -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.5.1/modules -D WITH_V4L=ON -D WITH_FFMPEG=ON -D WITH_XINE=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D OPENCV_GENERATE_PKGCONFIG=ON -D PYTHON2_INCLUDE_DIR=/usr/include/python2.7 -D PYTHON2_NUMPY_INCLUDE_DIRS=/usr/lib/python2.7/dist-packages/numpy/core/include/ -D PYTHON2_PACKAGES_PATH=/usr/lib/python2.7/dist-packages -D PYTHON2_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython2.7.so -D PYTHON3_INCLUDE_DIR=/usr/include/python3.6m -D PYTHON3_NUMPY_INCLUDE_DIRS=/usr/lib/python3/dist-packages/numpy/core/include/ -D PYTHON3_PACKAGES_PATH=/usr/lib/python3/dist-packages -D PYTHON3_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.6m.so -D WITH_CUDA=ON ../
또는
cmake
-D BUILD_EXAMPLES=OFF \
-D BUILD_opencv_python2=OFF \
-D BUILD_opencv_python3=ON \
-D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D CUDA_ARCH_BIN=7.2 \
-D CUDA_ARCH_PTX= \
-D CUDA_FAST_MATH=ON \
-D CUDNN_VERSION='8.0' \
-D CUDNN_LIBRARY=/usr/lib/aarch64-linux-gnu/libcudnn.so.8 \
-D CUDNN_INCLUDE_DIR=/usr/include/aarch64-linux-gnu \
-D EIGEN_INCLUDE_PATH=/usr/include/eigen3 \
-D ENABLE_NEON=ON \
-D OPENCV_ENABLE_NONFREE=ON \
-D OPENCV_EXTRA_MODULES_PATH=/tmp/opencv/opencv_contrib/modules \
-D OPENCV_GENERATE_PKGCONFIG=ON \
-D WITH_CUBLAS=ON \
-D WITH_CUDA=ON \
-D WITH_CUDNN=ON \
-D WITH_GSTREAMER=ON \
-D WITH_LIBV4L=ON \
-D WITH_OPENGL=ON \
-D WITH_FFMPEG
-D BUILD_NEW_PYTHON_SUPPORT=ON \
-D OPENCV_GENERATE_PKGCONFIG=ON \
-D PYTHON2_INCLUDE_DIR=/usr/include/python2.7 \
-D PYTHON2_NUMPY_INCLUDE_DIRS=/usr/lib/python2.7/dist-packages/numpy/core/include/ \
-D PYTHON2_PACKAGES_PATH=/usr/lib/python2.7/dist-packages \
-D PYTHON2_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython2.7.so \
-D PYTHON3_INCLUDE_DIR=/usr/include/python3.6m \
-D PYTHON3_NUMPY_INCLUDE_DIRS=/usr/lib/python3/dist-packages/numpy/core/include/ \
-D PYTHON3_PACKAGES_PATH=/usr/lib/python3/dist-packages \
-D PYTHON3_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.6m.so \
-D BUILD_PERF_TESTS=OFF \
-D BUILD_TESTS=OFF \
-D BUILD_opencv_cudacodec=ON \
-D WITH_QT=ON \
-D BUILD_opencv_cudev=ON \
-D WITH_NVCUVID=ON \
../
https://www.programmersought.com/article/64346542786/
Install mmdetection environment in Jetson tx2 - Programmer Sought
table of Contents surroundings: STEP1 Install pytorch STEP2 install dependent libraries STEP3 Install mmdetectoin, mmcv Compile mmcv Compile mmdetection to sum up Related resources download reference After installing it for several days, I finally installe
www.programmersought.com
젯슨 디바이스 업데이트 : https://docs.nvidia.com/jetson/l4t/index.html#page/Tegra%20Linux%20Driver%20Package%20Development%20Guide/updating_jetson_and_host.html
Tegra Linux Driver
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docs.nvidia.com
deb repository 등록 경로 :/etc/apt/sources.list.d/
ffmpeg -c:v h264_nvv4l2dec -i rtsp://admin:@hict1234@192.168.1.43:554/Streaming/Channels/601 -c:v rawvideo -pix_fmt yuv420p out.yuv
ffmpeg flag documentation:
https://ffmpeg.org/ffmpeg-protocols.html
FFmpeg Protocols Documentation
Table of Contents This document describes the input and output protocols provided by the libavformat library. The libavformat library provides some generic global options, which can be set on all the protocols. In addition each protocol may support so-call
ffmpeg.org
ffmpeg pkgconfig path : /usr/lib/pkgconfig
export PKG_CONFIG_PATH="/usr/local/lib/pkgconfig"
ffmpeg install guide:
https://docs.nvidia.com/video-technologies/video-codec-sdk/ffmpeg-with-nvidia-gpu/
Using FFmpeg with NVIDIA GPU Hardware Acceleration :: NVIDIA Video Codec SDK Documentation
In some situations, it is necessary to perform video decoding in software. For example, consider the situation in which the hardware encoder has more capacity than the decoder. To realize the full potential of the encoder hardware in such cases, it is bene
docs.nvidia.com
configure할때 --enable-pic 추가
도커 run 할때 --cap-add=all 추가
ffmpeg 빌드시 주의사항.
make 전에 export PKG_CONFIG_PATH="/usr/local/lib/pkgconfig" 먼저할것.4.4버전 사용할것. --enable-pic 옵션줄것.
How To Install Jetpack
https://docs.nvidia.com/jetson/jetpack/install-jetpack/index.html
How to Install JetPack :: NVIDIA JetPack Documentation
Starting with JetPack 4.4, upgrading to the next JetPack release can be achieved using a package management tool like apt. Follow the below steps to perform the upgrade: First, upgrade L4T. Please refer to the section "To upgrade to a new point release" in
docs.nvidia.com
sudo nvpmodel -m 2
sudo jetson_clocks
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