如何对RK3399Pro python环境进行配置呢

opencv，tensorflow，pytorch的安装


本人rk3399pro 安装系统为ubuntu18.04系统。
1.配置环境依赖项


sudo apt-get update
sudo apt-get install build-essential cmake git pkg-config
sudo apt-get install libjpeg8-dev libtiff5-dev  libpng-dev
sudo apt-get install libgtk2.0-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install libatlas-base-dev gfortran  libhdf5-dev libtbb-dev libeigen3-dev
sudo apt-get install gstreamer1.0-tools gstreamer1.0-alsa gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gstreamer1.0-libav
sudo apt-get install libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libgstreamer-plugins-good1.0-dev libgstreamer-plugins-bad1.0-dev


2.安装pip3，numpy，opencv等

这里opencv采用apt形式安装安装版本为3.2，如需要安装高版本需要源码编译。

sudo apt-get install python3-dev
sudo apt-get install python3-pip
sudo pip3 install --upgrade pip
sudo pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
sudo apt-get install python3-numpy
sudo apt-get install python3-opencv


3.安装tensorflow，keras，pytorch

下面一些whl包，rk3399的github也有下载

sudo pip3 install h5py
sudo pip3 install tensorflow-1.13.1-cp36-none-linux_aarch64.whl      
sudo pip3 install onnx-1.4.1-cp36-cp36m-linux_aarch64.whl
sudo pip3 install scipy-1.2.0-cp36-cp36m-linux_aarch64.whl
sudp pip3 install keras==2.1.5
sudo apt-get install python3-matplotlib
sudo pip3 install pillow==6.2.0
sudo apt-get install libopenblas-dev cython3 libatlas-dev m4 libblas-dev cmake
pip3 install pyyaml
sudo pip3 install torch-1.1.0a0+7e73783-cp36-cp36m-linux_aarch64.whl
pip3 install torchvision
#安装rknn python的API
sudo pip3 install rknn_toolkit-1.3.0-cp36-cp36m-linux_aarch64.whl
4.安装图像工具，否则无法显示图片

如何是界面情况下，可能会出现无法显示图片的情况，需要装读图软件。
sudo apt-get install imagemagick

5.添加交换空间

mkdir swap
cd swap
# (1024*4000000=4G)
sudo dd if=/dev/zero of=swapfile bs=1024 count=4000000
sudo mkswap swapfile
chmod 0600 swapfile
sudo swapon swapfile

使用结束释放：
swapoff -a