arm安装pyrealsense

– Step 1 –

conda install numba
pip install opencv-python
pip install scipy

– Step 2 pyrealsense2 –

很哟可能需要一点点magic

参考 https://github.com/35selim/RealSense-Jetson 编译安装pyrealsense2（这个去官网下个最新版的啊！！）

1. git clone -b v2.54.2 --depth=1 https://github.com/IntelRealSense/librealsense.git

2. cd librealsense && mkdir build && cd build

3. sudo apt-get -y install libssl-dev libxinerama-dev libxcursor-dev libcanberra-gtk-module libcanberra-gtk3-module

4. 更新依赖库
   sudo apt-get update && sudo apt-get upgrade && sudo apt-get dist-upgrade

   安装依赖库
   sudo apt-get install libudev-dev pkg-config libgtk-3-dev
   sudo apt-get install libusb-1.0-0-dev pkg-config
   sudo apt-get install libglfw3-dev
   sudo apt-get install libssl-dev

   sudo apt-get update
   sudo apt-get install build-essential
   sudo apt-get install cmake
   sudo apt-get install libgtk2.0-dev
   sudo apt-get install pkg-config
   sudo apt-get install python-dev python-numpy
   sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libjpeg-dev libpng-dev libtiff-dev
   sudo apt-get install -y libudev-dev

5. sed -i '3iset(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc)\' ../CMakeLists.txt

6. 下条命令记得改 DPYTHON_EXECUTABLE 路径：

   cmake ../ -DBUILD_PYTHON_BINDINGS:bool=true -DPYTHON_EXECUTABLE=[conda_path/envs/StairDetection/bin/python3] -DCMAKE_BUILD_TYPE=release -DBUILD_EXAMPLES=true -DBUILD_GRAPHICAL_EXAMPLES=true -DBUILD_WITH_CUDA:bool=true

   ---

   上面那条命令可以加下面这三个参数，指定安装路径，否则的话，pyrealsense2会随机安装在某个系统python环境下

   -DPYTHON_EXECUTABLE=/home/cetc21/anaconda3/envs/elevation/bin/python -DPYTHON_INCLUDE_DIR=/home/cetc21/anaconda3/envs/elevation/include/python3.8 -DPYTHON_LIBRARY=/home/cetc21/anaconda3/envs/elevation/lib/libpython3.8.so

   ---

   sudo make uninstall && sudo make clean

7. sudo make -j$(($(nproc)-1)) && sudo make install

8. 在make 结束的窗口上，查找一下pybackend2.cpython在哪

9. 改环境变量路径，这个路径要找找pyrealsense2在哪里（见上一步），下图是文件里的内容

   echo 'export PYTHONPATH=$PYTHONPATH:/usr/local/lib/python3.8/pyrealsense2' >> ~/.bashrc