Jetson Nano Installation

# 扩容操作 2GB -> 4GB # 参考DLI教程
free -m
sudo systemctl disable nvzramconfig
sudo falcate -l 4G /mnt/4GB.swap
sudo chmod 600 /mnt/4GB.swap
sudo mkswap /mnt/4GB.swap
sudo vi /etc /fstab
# /mnt/4GB.swap swap swap defaults 0 0
sudo reboot
free -m

# Docker安装 # 参考DLI教程
mkdir -p ~/nvdli-data
sudo docker run --runtime nvidia -it --rm --network host \
    --volume ~/nvdli-data:/nvdli-nano/data \
    --device /dev/video0 \
    nvcr.io/nvidia/dli/dli-nano-ai:<tag>
echo "sudo docker run --runtime nvidia -it --rm --network host \
    --volume ~/nvdli-data:/nvdli-nano/data \
    --device /dev/video0 \
    nvcr.io/nvidia/dli/dli-nano-ai:v2.0.1-r32.4.4" > docker_dli_run.sh
chmod +x docker_dli_run.sh
./docker_dli_run.sh
# http://192.168.55.1:8888/ # dlinano

# Python3环境
sudo apt update
sudo apt list full-upgrade
sudo apt install python3
sudo apt install python3-pip
# which python3
ln -s /usr/bin/python3 /usr/bin/python
# pip3 -> pip
pip install --upgrade pip
pip install virtualenv

# Headless 支持远程登陆
sudo apt install net-tools
sudo apt install ssh

sudo apt-get update
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev \
     zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran

sudo apt-get install python3-pip
sudo pip3 install -U pip testresources setuptools==49.6.0 

sudo pip3 install -U numpy==1.19.4 future==0.18.2 mock==3.0.5 \
     h5py==2.10.0 keras_preprocessing==1.1.1 \
     keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11

sudo pip3 install --extra-index-url \
     https://developer.download.nvidia.com/compute/redist/jp/v$JP_VERSION tensorflow
sudo apt-get install virtualenv
python3 -m virtualenv -p python3 <chosen_venv_name>

# CUDA
sudo gedit  ~/.bashrc
export CUBA_HOME=/usr/local/cuda-10.2
export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64:$LD_LIBRARY_PATH
export PATH=/usr/local/cuda-10.2/bin:$PATH
source ~/.bashrc