NVIDIA Jetson Nano初期設定①
SDカードなどを用いて、最初のOSイメージを作成し、Jetson Nanoを起動させます。
参考記事：Jetson Nano DeveloperをUSB 接続HDD/SSDルート構成
導入パッケージのアップデート
sudo apt update
sudo apt upgrade -y
SWAP領域作成
SWAP領域は、ディスクアクセスが多いので、USB接続のHDD上にSWAP領域を作成しました。
/dev/sda1 swap swapをSWAPとしました。
また、各種ユーザー領域として、/dev/sda2のパーティションを作成し、両方のパーティションがブート時に自動マウントされるように、/etc/fstabに登録します。また、デバイス名（/dev/sda, /dev/sdbなど）はブート時に変わる場合もあるので、UUIDを用いて、fstabaへの設定をおすすめします。
UUID=75f4a210-081e-4572-8f0a-bffb1f3d84c3 swap swap defaults 0 0
UUIDは、デバイスの以下のコマンドで確認出来ます。
root@jetson:~# ls -l /dev/disk/by-uuid
total 0
lrwxrwxrwx 1 root root 10 10月 1 17:41 408b9b27-133c-475d-8b8e-151ebe91e6e9 -> ../../sda2
lrwxrwxrwx 1 root root 10 10月 1 17:41 75f4a210-081e-4572-8f0a-bffb1f3d84c3 -> ../../sda1
各種パッケージ導入
TensorFlow導入
NVIDIAの開発者コミュニティに記載されている内容で、インストールを行います。
https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html#install
- 前提ソフトをaptコマンドを用いてインストールします。
$ sudo apt install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev
- pip3のアップデートを行います。
$ sudo apt install python3-pip
$ sudo pip3 install -U pip
- NVIDIAの開発サイトからtensorflow-gpuをインストールします。
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v42 tensorflow-gpu
インストールコマンド実行により、以下のパッケージがインストールされました。
Successfully installed absl-py-0.8.0 astor-0.8.0 gast-0.2.2 google-pasta-0.1.7 grpcio-1.24.0 h5py-2.10.0 keras-applications-1.0.8 keras-preprocessing-1.1.0 markdown-3.1.1 numpy-1.17.2 protobuf-3.10.0rc1 setuptools-41.2.0 tensorboard-1.14.0 tensorflow-estimator-1.14.0 tensorflow-gpu-1.14.0+nv19.9 termcolor-1.1.0 werkzeug-0.16.0 wrapt-1.11.2
keras導入
インストール自体は 「pip3 install keras」 なのですが、依存関係のあるscipyのインストールに失敗します。scipyインストールに必要なライブラリーを事前にインストールしておきます。
以下インストール失敗時の画面コピーです。
Downloading https://files.pythonhosted.org/packages/ee/5b/5afcd1c46f97b3c2ac3489dbc95d6ca28eacf8e3634e51f495da68d97f0f/scipy-1.3.1.tar.gz (23.6MB)
|████████████████████████████████| 23.6MB 20.9MB/s
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing wheel metadata ... error
ERROR: Command errored out with exit status 1:
command: /usr/bin/python3 /usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py prepare_metadata_for_build_wheel /tmp/tmp4e1y85sd
cwd: /tmp/pip-install-_nnfhs_r/scipy
Complete output (139 lines):
lapack_opt_info:
lapack_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu']
NOT AVAILABLE
openblas_lapack_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu']
NOT AVAILABLE
openblas_clapack_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas,lapack not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu']
NOT AVAILABLE
flame_info:
customize UnixCCompiler
libraries flame not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu']
NOT AVAILABLE
atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries lapack_atlas not found in /usr/local/lib
customize UnixCCompiler
libraries tatlas,tatlas not found in /usr/local/lib
customize UnixCCompiler
libraries lapack_atlas not found in /usr/lib
customize UnixCCompiler
libraries tatlas,tatlas not found in /usr/lib
customize UnixCCompiler
libraries lapack_atlas not found in /usr/lib/aarch64-linux-gnu
customize UnixCCompiler
libraries tatlas,tatlas not found in /usr/lib/aarch64-linux-gnu
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
NOT AVAILABLE
atlas_3_10_info:
customize UnixCCompiler
libraries lapack_atlas not found in /usr/local/lib
customize UnixCCompiler
libraries satlas,satlas not found in /usr/local/lib
customize UnixCCompiler
libraries lapack_atlas not found in /usr/lib
customize UnixCCompiler
libraries satlas,satlas not found in /usr/lib
customize UnixCCompiler
libraries lapack_atlas not found in /usr/lib/aarch64-linux-gnu
customize UnixCCompiler
libraries satlas,satlas not found in /usr/lib/aarch64-linux-gnu
<class 'numpy.distutils.system_info.atlas_3_10_info'>
NOT AVAILABLE
atlas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries lapack_atlas not found in /usr/local/lib
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
customize UnixCCompiler
libraries lapack_atlas not found in /usr/lib
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in /usr/lib
customize UnixCCompiler
libraries lapack_atlas not found in /usr/lib/aarch64-linux-gnu
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in /usr/lib/aarch64-linux-gnu
<class 'numpy.distutils.system_info.atlas_threads_info'>
NOT AVAILABLE
atlas_info:
customize UnixCCompiler
libraries lapack_atlas not found in /usr/local/lib
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in /usr/local/lib
customize UnixCCompiler
libraries lapack_atlas not found in /usr/lib
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in /usr/lib
customize UnixCCompiler
libraries lapack_atlas not found in /usr/lib/aarch64-linux-gnu
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in /usr/lib/aarch64-linux-gnu
<class 'numpy.distutils.system_info.atlas_info'>
NOT AVAILABLE
accelerate_info:
NOT AVAILABLE
lapack_info:
customize UnixCCompiler
libraries lapack not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu']
NOT AVAILABLE
lapack_src_info:
NOT AVAILABLE
NOT AVAILABLE
setup.py:388: UserWarning: Unrecognized setuptools command ('dist_info --egg-base /tmp/pip-install-_nnfhs_r/scipy/pip-wheel-metadata'), proceeding with generating Cython sources and expanding templates
' '.join(sys.argv[1:])))
Running from scipy source directory.
/usr/local/lib/python3.6/dist-packages/numpy/distutils/system_info.py:1712: UserWarning:
Lapack (http://www.netlib.org/lapack/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [lapack]) or by setting
the LAPACK environment variable.
if getattr(self, '_calc_info_{}'.format(lapack))():
/usr/local/lib/python3.6/dist-packages/numpy/distutils/system_info.py:1712: UserWarning:
Lapack (http://www.netlib.org/lapack/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [lapack_src]) or by setting
the LAPACK_SRC environment variable.
if getattr(self, '_calc_info_{}'.format(lapack))():
Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py", line 207, in <module>
main()
File "/usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py", line 197, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
File "/usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py", line 69, in prepare_metadata_for_build_wheel
return hook(metadata_directory, config_settings)
File "/usr/local/lib/python3.6/dist-packages/setuptools/build_meta.py", line 156, in prepare_metadata_for_build_wheel
self.run_setup()
File "/usr/local/lib/python3.6/dist-packages/setuptools/build_meta.py", line 237, in run_setup
self).run_setup(setup_script=setup_script)
File "/usr/local/lib/python3.6/dist-packages/setuptools/build_meta.py", line 142, in run_setup
exec(compile(code, __file__, 'exec'), locals())
File "setup.py", line 505, in <module>
setup_package()
File "setup.py", line 501, in setup_package
setup(**metadata)
File "/usr/local/lib/python3.6/dist-packages/numpy/distutils/core.py", line 137, in setup
config = configuration()
File "setup.py", line 403, in configuration
raise NotFoundError(msg)
numpy.distutils.system_info.NotFoundError: No lapack/blas resources found.
----------------------------------------
ERROR: Command errored out with exit status 1: /usr/bin/python3 /usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py prepare_metadata_for_build_wheel /tmp/tmp4e1y85sd Check the logs for full command output.
依存ライブラリのインストール
# apt install libatlas-base-dev gfortran
次に、cythonをインストールします。
root@jetson:~# pip3 install -U cython
Collecting cython
Installing collected packages: cython
Successfully installed cython-0.29.13
pip3 install Keras
Kerasインストール後に以下のメッセージが表示されます。
Installing collected packages: scipy, Keras
Successfully installed Keras-2.3.0 scipy-1.3.1
OpenCV導入
NVIDIAのJetson Nanoでは、Open CVインストール向けに各種スクリプトが公開されています。基本的に、公開されているスクリプトを用いれば、簡単にOpenCVを導入することが出来ます。
NVIDIAのCuda対応のOpenCVが、各種バージョン簡単に導入できるのは、非常に助かります。
バージョン３系と４系を複数導入してみましたが、特に問題は起きませんでした。
install_opencv4.0.0_Nano.sh
#!/bin/bash
#
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.
#
if [ "$#" -ne 1 ]; then
echo "Usage: $0 <Install Folder>"
exit
fi
folder="$1"
user="nvidia"
passwd="nvidia"
echo "** Remove OpenCV3.3 first"
sudo sudo apt-get purge *libopencv*
echo "** Install requirement"
sudo apt-get update
sudo apt-get install -y build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
sudo apt-get install -y python2.7-dev python3.6-dev python-dev python-numpy python3-numpy
sudo apt-get install -y libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
sudo apt-get install -y libv4l-dev v4l-utils qv4l2 v4l2ucp
sudo apt-get install -y curl
sudo apt-get update
echo "** Download opencv-4.0.0"
cd $folder
curl -L https://github.com/opencv/opencv/archive/4.0.0.zip -o opencv-4.0.0.zip
curl -L https://github.com/opencv/opencv_contrib/archive/4.0.0.zip -o opencv_contrib-4.0.0.zip
unzip opencv-4.0.0.zip
unzip opencv_contrib-4.0.0.zip
cd opencv-4.0.0/
echo "** Building..."
mkdir release
cd release/
cmake -D WITH_CUDA=ON -D CUDA_ARCH_BIN="5.3" -D CUDA_ARCH_PTX="" -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.0.0/modules -D WITH_GSTREAMER=ON -D WITH_LIBV4L=ON -D BUILD_opencv_python2=ON -D BUILD_opencv_python3=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make -j3
sudo make install
echo "** Install opencv-4.0.0 successfully"
echo "** Bye :)"mkdir opencv
sh install_opencv4.0.0_Nano.sh opencv
(コンパイル/インストールが始まります)
python3-opencv (3.2.0+dfsg-4ubuntu0.1) を設定しています ...
python-opencv (3.2.0+dfsg-4ubuntu0.1) を設定しています ...
libc-bin (2.27-3ubuntu1) のトリガを処理しています ...
** Install opencv-4.1.0 successfully
** Bye 🙂
インストール後の確認
root@jetson:/home/miki# python3
Python 3.6.8 (default, Aug 20 2019, 17:12:48)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
>>> cv2.__version__
'4.1.0'
NVIDIA
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