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  • LattePanda 安装ubuntu 20.04 和 openvino

    千次阅读 2020-08-31 02:09:09
    LattePanda 安装ubuntu 20.04 和 openvino 2020.4 硬件: LattePanda Delta M.2 SSD Intel Neural Computer Stick 2 USB stick 8G 软件: ubuntu 20.04 openvino 第一部分,ubuntu 20.04 系统安装 首先,下载 ...

    LattePanda 安装ubuntu 20.04 和 openvino 2020.4

    硬件:

    • LattePanda Delta
    • M.2 SSD
    • Intel Neural Computer Stick 2
    • USB stick 8G

    软件:

    • ubuntu 20.04
    • openvino

    第一部分,ubuntu 20.04 系统安装

    首先,下载 ubuntu 20.04 iso 文件,然后制作USB 启动盘;Mac 下可以用Disk Utility 工具,将 U盘分区抹去,选择 MS FAT 格式,GUID分区方案
    usb partition
    然后用 etcher刻录
    etcher 界面
    刻录完成后,插入 LattePanda,再接入鼠标和键盘,显示器。
    启动LattePanda Delta 后,多按几次 Del 键,会进入 bios 设置界面。
    将U盘设置为第一启动盘,保存退出。
    出现ubuntu grub安装界面,选择安装即可,我这里选择了 oem 方式玩玩。
    在这里插入图片描述

    系统会显示 LattePanda 的 logo
    在这里插入图片描述
    选择分区方案时,我采用了自定义,以免破坏原来的windows 10 系统;ubuntu 17 开始,不再使用 swap 分区,将所有空闲空间都划分为 ext4 格式,挂载为 root 。
    在这里插入图片描述
    然后就是耐心等待了。
    在这里插入图片描述
    如果你的网络不是特别好,最好跳过所有的在线更新,等后面更改了apt源镜像后,再安装不迟。
    安装完成后,拔出U盘,重启,这里无需额外bios设置,启动盘会是ubuntu,进入桌面后,因为我是OEM安装,再运行一下 oem-config ,来创建最终用户。
    在这里插入图片描述
    重启进入桌面后,主要硬件看起来都工作正常。
    显卡 ok, 可以驱动4K 显示器。
    蓝牙 ok
    wifi ok , 可以连上热点。
    声卡 ok,可以听到启动音乐。
    在这里插入图片描述
    更改apt源镜像,更新系统
    在这里插入图片描述

    通过 Visual Studio Code Insider,安装 PlatformIO 后,刷写 Arduino 也正常,简单跑了个 Python 程序刷新 oled 屏幕也正常。
    看起来一切正常,无需我额外关注硬件驱动。

    第二部分,openvino 及 intel neural computer stick2 驱动

    因为在linux 下安装 openvino 许多次了,习惯性下载了最新的 2020.4 安装包,开始执行依赖安装脚本。
    出错了,许多包文件找不到。

    E: Unable to locate package gudev-1.0
    E: Unable to locate package libusb-1.0.0-dev
    E: Package 'libfluidsynth1' has no installation candidate
    E: Unable to locate package libnettle6
    E: Unable to locate package libopenexr22
    E: Unable to locate package python3.6
    E: Unable to locate package libpython3.6
    

    于是手动修改依赖安装脚本,将出错的包名更换为 逗号后面的新包名,再删除 python3.6 的依赖。

    $ vi ./install_openvino_dependencies.sh
    
    E: Unable to locate package gudev-1.0 ,libgudev-1.0-dev
    E: Unable to locate package libusb-1.0.0-dev, libusb-1.0-0-dev
    E: Package 'libfluidsynth1' has no installation candidate, libfluidsynth2
    E: Unable to locate package libnettle6, libnettle7
    E: Unable to locate package libopenexr22, libopenexr24
    

    这次安装成功了。

    panda@Panda:~/git/l_openvino_toolkit_p_2020.4.287$ sudo -E ./install_openvino_dependencies.sh
    
    This script installs the following OpenVINO 3rd-party dependencies:
      1. GTK+, FFmpeg and GStreamer libraries used by OpenCV
      2. libusb library required for Myriad plugin for Inference Engine
      3. build dependencies for OpenVINO samples
      4. build dependencies for GStreamer Plugins
    
    Hit:1 https://mirrors.tuna.tsinghua.edu.cn/ubuntu focal InRelease
    Get:2 https://mirrors.tuna.tsinghua.edu.cn/ubuntu focal-updates InRelease [111 kB]
    Get:3 https://mirrors.tuna.tsinghua.edu.cn/ubuntu focal-backports InRelease [98.3 kB]
    
    

    然后是 openvino 库安装,自检时依然抱怨不满足先决条件,查看详细信息,发现OS最高支持到 ubuntu 18.04。

    Prerequisites > Missing Prerequisite
    --------------------------------------------------------------------------------
    Detected operating system is not supported. Supported operating systems for this
    release are: 
        - CentOS* 7 (Intel(R) 64);
        - Ubuntu* 16.04 (Intel(R) 64), 18.04 (Intel(R) 64);
        - Yocto  (Intel(R) 64);
    
    --------------------------------------------------------------------------------
    
       1. See next issue [ default ]
       2. Back to Prerequisite summary dialog
    
       h. Help
       b. Back
       q. Quit installation
    
    

    忽视警告强行安装后,很多关键库文件都没有安装。

    --------------------------------------------------------------------------------
    Install location:
        /opt/intel
    
    
    The following components will be installed:
        Model Optimizer                                                          4MB
            Model Optimizer Tool                                                 4MB
    
        Deep Learning Workbench                                                 10MB
            Deep Learning Workbench                                             10MB
    
        Open Model Zoo                                                          58MB
            Open Model Zoo                                                      58MB
    
        Intel(R) Media SDK                                                     128MB
            Intel(R) Media SDK                                                 128MB
    
       Install space required:  292MB
    
    Installation
    --------------------------------------------------------------------------------
    Each component will be installed individually. If you cancel the installation,
    some components might remain on your system. This installation may take several 
    minutes, depending on your system and the options you selected.
    --------------------------------------------------------------------------------
    Installing Model Optimizer Tool component... done
    --------------------------------------------------------------------------------
    Installing Deep Learning Workbench component... done
    --------------------------------------------------------------------------------
    Installing Open Model Zoo component... done
    --------------------------------------------------------------------------------
    Installing Intel(R) Media SDK component... done
    --------------------------------------------------------------------------------
    Finalizing product configuration...
    --------------------------------------------------------------------------------
    
    
    
    
    
    
    
    
    First Part of Installation is Complete
    --------------------------------------------------------------------------------
    The first part of Intel® Distribution of OpenVINO™ toolkit 2020.4 for Linux*
    has been successfully installed in 
    /opt/intel/openvino_2020.4.287.
    
    

    于是决定自行编译安装。

    首先从 这里 https://github.com/openvinotoolkit/openvino 下载源代码。
    再更新子模块

    git submodule update --init --recursive
    

    这里就不编译 opencv 了,太耗时间,用现成的 4.2 ,

    sudo apt install  libopencv-dev python3-opencv
    Reading package lists... Done
    Building dependency tree       
    Reading state information... Done
    The following additional packages will be installed:
      autoconf automake autotools-dev cpp-8 gcc-8 gcc-8-base gdal-data gfortran gfortran-8 gfortran-9 ibverbs-providers javascript-common libaec0
      libarmadillo9 libarpack2 libavcodec-dev libavformat-dev libavresample-dev libavutil-dev libblas3 libcaf-openmpi-3 libcfitsio8 libcharls2 libcoarrays-dev
      libcoarrays-openmpi-dev libdap25 libdapclient6v5 libdc1394-22-dev libepsilon1 libevent-core-2.1-7 libevent-dev libevent-extra-2.1-7
      libevent-openssl-2.1-7 libevent-pthreads-2.1-7 libexif-dev libexif-doc libfabric1 libfreexl1 libfyba0 libgcc-8-dev libgdal26 libgdcm-dev libgdcm3.0
      libgeos-3.8.0 libgeos-c1v5 libgeotiff5 libgfortran-8-dev libgfortran-9-dev libgfortran5 libgl2ps1.4 libgphoto2-dev libhdf4-0-alt libhdf5-103
      libhdf5-openmpi-103 libhwloc-dev libhwloc-plugins libhwloc15 libibverbs-dev libibverbs1 libilmbase-dev libjbig-dev libjpeg-dev libjpeg-turbo8-dev
      libjpeg8-dev libjs-jquery libkmlbase1 libkmldom1 libkmlengine1 liblapack3 liblept5 libltdl-dev liblzma-dev libminizip1 libmpx2 libnetcdf-c++4
      libnetcdf15 libnl-3-dev libnl-route-3-dev libnuma-dev libodbc1 libogdi4.1 libopencv-calib3d-dev libopencv-calib3d4.2 libopencv-contrib-dev
      libopencv-contrib4.2 libopencv-core-dev libopencv-core4.2 libopencv-dnn-dev libopencv-dnn4.2 libopencv-features2d-dev libopencv-features2d4.2
      libopencv-flann-dev libopencv-flann4.2 libopencv-highgui-dev libopencv-highgui4.2 libopencv-imgcodecs-dev libopencv-imgcodecs4.2 libopencv-imgproc-dev
      libopencv-imgproc4.2 libopencv-ml-dev libopencv-ml4.2 libopencv-objdetect-dev libopencv-objdetect4.2 libopencv-photo-dev libopencv-photo4.2
      libopencv-shape-dev libopencv-shape4.2 libopencv-stitching-dev libopencv-stitching4.2 libopencv-superres-dev libopencv-superres4.2 libopencv-ts-dev
      libopencv-video-dev libopencv-video4.2 libopencv-videoio-dev libopencv-videoio4.2 libopencv-videostab-dev libopencv-videostab4.2 libopencv-viz-dev
      libopencv-viz4.2 libopencv4.2-java libopencv4.2-jni libopenexr-dev libopenmpi-dev libopenmpi3 libpmix2 libpng-dev libpng-tools libpq5 libproj15
      libpsm-infinipath1 libpsm2-2 libqhull7 libraw1394-dev libraw1394-tools librdmacm1 libsocket++1 libspatialite7 libsuperlu5 libswresample-dev
      libswscale-dev libsz2 libtbb-dev libtbb2 libtesseract4 libtiff-dev libtiffxx5 libtool liburiparser1 libvtk6.3 libxerces-c3.2 libxnvctrl0 odbcinst
      odbcinst1debian2 opencv-data openmpi-bin openmpi-common proj-bin proj-data python3-numpy
    Suggested packages:
      autoconf-archive gnu-standards autoconf-doc gcc-8-locales gcc-8-multilib gcc-8-doc gfortran-multilib gfortran-doc gfortran-8-multilib gfortran-8-doc
      gfortran-9-multilib gfortran-9-doc apache2 | lighttpd | httpd geotiff-bin gdal-bin libgeotiff-epsg libhdf4-doc libhdf4-alt-dev hdf4-tools
      libhwloc-contrib-plugins libtool-doc liblzma-doc libmyodbc odbc-postgresql tdsodbc unixodbc-bin ogdi-bin opencv-doc openmpi-doc libraw1394-doc
      libtbb-doc gcj-jdk mpi-default-bin python-numpy-doc python3-pytest python3-numpy-dbg
    The following NEW packages will be installed:
      autoconf automake autotools-dev cpp-8 gcc-8 gcc-8-base gdal-data gfortran gfortran-8 gfortran-9 ibverbs-providers javascript-common libaec0
      libarmadillo9 libarpack2 libavcodec-dev libavformat-dev libavresample-dev libavutil-dev libblas3 libcaf-openmpi-3 libcfitsio8 libcharls2 libcoarrays-dev
      libcoarrays-openmpi-dev libdap25 libdapclient6v5 libdc1394-22-dev libepsilon1 libevent-core-2.1-7 libevent-dev libevent-extra-2.1-7
      libevent-openssl-2.1-7 libevent-pthreads-2.1-7 libexif-dev libexif-doc libfabric1 libfreexl1 libfyba0 libgcc-8-dev libgdal26 libgdcm-dev libgdcm3.0
      libgeos-3.8.0 libgeos-c1v5 libgeotiff5 libgfortran-8-dev libgfortran-9-dev libgfortran5 libgl2ps1.4 libgphoto2-dev libhdf4-0-alt libhdf5-103
      libhdf5-openmpi-103 libhwloc-dev libhwloc-plugins libhwloc15 libibverbs-dev libibverbs1 libilmbase-dev libjbig-dev libjpeg-dev libjpeg-turbo8-dev
      libjpeg8-dev libjs-jquery libkmlbase1 libkmldom1 libkmlengine1 liblapack3 liblept5 libltdl-dev liblzma-dev libminizip1 libmpx2 libnetcdf-c++4
      libnetcdf15 libnl-3-dev libnl-route-3-dev libnuma-dev libodbc1 libogdi4.1 libopencv-calib3d-dev libopencv-calib3d4.2 libopencv-contrib-dev
      libopencv-contrib4.2 libopencv-core-dev libopencv-core4.2 libopencv-dev libopencv-dnn-dev libopencv-dnn4.2 libopencv-features2d-dev
      libopencv-features2d4.2 libopencv-flann-dev libopencv-flann4.2 libopencv-highgui-dev libopencv-highgui4.2 libopencv-imgcodecs-dev libopencv-imgcodecs4.2
      libopencv-imgproc-dev libopencv-imgproc4.2 libopencv-ml-dev libopencv-ml4.2 libopencv-objdetect-dev libopencv-objdetect4.2 libopencv-photo-dev
      libopencv-photo4.2 libopencv-shape-dev libopencv-shape4.2 libopencv-stitching-dev libopencv-stitching4.2 libopencv-superres-dev libopencv-superres4.2
      libopencv-ts-dev libopencv-video-dev libopencv-video4.2 libopencv-videoio-dev libopencv-videoio4.2 libopencv-videostab-dev libopencv-videostab4.2
      libopencv-viz-dev libopencv-viz4.2 libopencv4.2-java libopencv4.2-jni libopenexr-dev libopenmpi-dev libopenmpi3 libpmix2 libpng-dev libpng-tools libpq5
      libproj15 libpsm-infinipath1 libpsm2-2 libqhull7 libraw1394-dev libraw1394-tools librdmacm1 libsocket++1 libspatialite7 libsuperlu5 libswresample-dev
      libswscale-dev libsz2 libtbb-dev libtbb2 libtesseract4 libtiff-dev libtiffxx5 libtool liburiparser1 libvtk6.3 libxerces-c3.2 libxnvctrl0 odbcinst
      odbcinst1debian2 opencv-data openmpi-bin openmpi-common proj-bin proj-data python3-numpy python3-opencv
    0 upgraded, 162 newly installed, 0 to remove and 0 not upgraded.
    Need to get 134 MB of archives.
    After this operation, 563 MB of additional disk space will be used.
    Do you want to continue? [Y/n] 
    
    

    完成后,进入 openvino 源目录,安装依赖项

    panda@Panda:~/git/openvino$ chmod +x install_dependencies.sh
    panda@Panda:~/git/openvino$ ./install_dependencies.sh
    The following additional packages will be installed:
      autopoint debhelper dh-autoreconf dh-strip-nondeterminism dwz g++-9-multilib gcc-9-multilib gir1.2-gtk-2.0 gir1.2-harfbuzz-0.0 icu-devtools
      intltool-debian lib32asan5 lib32atomic1 lib32gcc-9-dev lib32gcc-s1 lib32gcc1 lib32gomp1 lib32itm1 lib32quadmath0 lib32stdc++-9-dev lib32stdc++6
      lib32ubsan1 libarchive-cpio-perl libarchive-zip-perl libatk1.0-dev libboost-regex1.71-dev libboost-regex1.71.0 libboost1.71-dev libc6-dev-i386
      libc6-dev-x32 libc6-i386 libc6-x32 libcairo-script-interpreter2 libdatrie-dev libdebhelper-perl libfile-stripnondeterminism-perl libfontconfig1-dev
      libfreetype-dev libfreetype6-dev libfribidi-dev libgdk-pixbuf2.0-dev libgraphite2-dev libharfbuzz-dev libharfbuzz-gobject0 libice-dev libicu-dev
      libmail-sendmail-perl libopenblas-pthread-dev libopenblas0 libopenblas0-pthread libpixman-1-dev libsm-dev libsub-override-perl libsys-hostname-long-perl
      libthai-dev libx32asan5 libx32atomic1 libx32gcc-9-dev libx32gcc-s1 libx32gcc1 libx32gomp1 libx32itm1 libx32quadmath0 libx32stdc++-9-dev libx32stdc++6
      libx32ubsan1 libxcb-render0-dev libxcb-shm0-dev libxcomposite-dev libxcursor-dev libxdamage-dev libxext-dev libxfixes-dev libxft-dev libxi-dev
      libxinerama-dev libxml2-utils libxrandr-dev libxrender-dev pango1.0-tools po-debconf x11proto-input-dev x11proto-randr-dev x11proto-xext-dev
      x11proto-xinerama-dev
    Suggested packages:
      dh-make lib32stdc++6-9-dbg libx32stdc++6-9-dbg libboost1.71-doc libboost-atomic1.71-dev libboost-chrono1.71-dev libboost-container1.71-dev
      libboost-context1.71-dev libboost-contract1.71-dev libboost-coroutine1.71-dev libboost-date-time1.71-dev libboost-exception1.71-dev
      libboost-fiber1.71-dev libboost-filesystem1.71-dev libboost-graph1.71-dev libboost-graph-parallel1.71-dev libboost-iostreams1.71-dev
      libboost-locale1.71-dev libboost-log1.71-dev libboost-math1.71-dev libboost-mpi1.71-dev libboost-mpi-python1.71-dev libboost-numpy1.71-dev
      libboost-program-options1.71-dev libboost-python1.71-dev libboost-random1.71-dev libboost-serialization1.71-dev libboost-stacktrace1.71-dev
      libboost-system1.71-dev libboost-test1.71-dev libboost-thread1.71-dev libboost-timer1.71-dev libboost-type-erasure1.71-dev libboost-wave1.71-dev
      libboost1.71-tools-dev libmpfrc++-dev libntl-dev libcairo2-doc libdatrie-doc freetype2-doc libgraphite2-utils libgtk2.0-doc libice-doc icu-doc
      imagemagick libpango1.0-doc libsm-doc libssl-doc libthai-doc libxext-doc libmail-box-perl
    The following NEW packages will be installed:
      autopoint curl debhelper dh-autoreconf dh-strip-nondeterminism dwz g++-9-multilib g++-multilib gcc-9-multilib gcc-multilib gir1.2-gtk-2.0
      gir1.2-harfbuzz-0.0 icu-devtools intltool-debian lib32asan5 lib32atomic1 lib32gcc-9-dev lib32gcc-s1 lib32gcc1 lib32gomp1 lib32itm1 lib32quadmath0
      lib32stdc++-9-dev lib32stdc++6 lib32ubsan1 libarchive-cpio-perl libarchive-zip-perl libatk1.0-dev libboost-regex-dev libboost-regex1.71-dev
      libboost-regex1.71.0 libboost1.71-dev libc6-dev-i386 libc6-dev-x32 libc6-i386 libc6-x32 libcairo-script-interpreter2 libcairo2-dev libdatrie-dev
      libdebhelper-perl libfile-stripnondeterminism-perl libfontconfig1-dev libfreetype-dev libfreetype6-dev libfribidi-dev libgdk-pixbuf2.0-dev
      libgraphite2-dev libgtk2.0-dev libharfbuzz-dev libharfbuzz-gobject0 libice-dev libicu-dev libmail-sendmail-perl libopenblas-dev libopenblas-pthread-dev
      libopenblas0 libopenblas0-pthread libpango1.0-dev libpixman-1-dev libsm-dev libssl-dev libsub-override-perl libsys-hostname-long-perl libthai-dev
      libx32asan5 libx32atomic1 libx32gcc-9-dev libx32gcc-s1 libx32gcc1 libx32gomp1 libx32itm1 libx32quadmath0 libx32stdc++-9-dev libx32stdc++6 libx32ubsan1
      libxcb-render0-dev libxcb-shm0-dev libxcomposite-dev libxcursor-dev libxdamage-dev libxext-dev libxfixes-dev libxft-dev libxi-dev libxinerama-dev
      libxml2-utils libxrandr-dev libxrender-dev pango1.0-tools po-debconf x11proto-input-dev x11proto-randr-dev x11proto-xext-dev x11proto-xinerama-dev
    0 upgraded, 94 newly installed, 0 to remove and 0 not upgraded.
    Need to get 59.7 MB of archives.
    After this operation, 489 MB of additional disk space will be used.
    

    还需要安装 cython3

    Reading package lists... Done
    Building dependency tree       
    Reading state information... Done
    Suggested packages:
      cython-doc
    The following NEW packages will be installed:
      cython3
    0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
    Need to get 1,474 kB of archives.
    After this operation, 7,038 kB of additional disk space will be used.
    

    完成后,就可以准备编译了,首先修改几个文件,来对应我们的 python 3.8

    1. scripts/setupvars/setupvars.sh, 97 行开始,添加 python 3.8的判断
        if command -v python3.8 >/dev/null 2>&1; then
            python_version=3.8
            python_bitness=$(python3.8 -c 'import sys; print(64 if sys.maxsize > 2**32 else 32)')
        elif command -v python3.7 >/dev/null 2>&1; then
    
    

    129行,注释对 python 2.7 的判断

    #    if [ "$python_version" != "2.7" ]; then
    #        # add path to OpenCV API for Python 3.x
    #        export PYTHONPATH="$INTEL_OPENVINO_DIR/python/python3:$PYTHONPATH"
    #    fi
    
    
    1. model-optimizer/install_prerequisites/install_prerequisites.sh 的 75 行,
        sudo -E apt -y install python3-pip python3-virtualenv libgfortran5
    
    

    因为LattePanda 的cpu 不被支持,GPU又很弱,所以我关闭了 CPU 和 GPU 的编译,执行

    mkdir build && cd build
    cmake -DCMAKE_BUILD_TYPE=Release -DENABLE_CLDNN=OFF -D OpenCV_DIR=/usr/lib/x86_64-linux-gnu/cmake/opencv4  -DENABLE_PYTHON=ON -DPYTHON_EXECUTABLE=/usr/bin/python3 -DPYTHON_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.8.so -DPYTHON_INCLUDE_DIR=/usr/include/python3.8 -DENABLE_MKL_DNN=OFF -DENABLE_SSE42=OFF -DENABLE_PYTHON=ON -DPYTHON_EXECUTABLE=`which python3.8` -DPYTHON_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.8.so -DPYTHON_INCLUDE_DIR=/usr/include/python3.8 -DNGRAPH_ONNX_IMPORT_ENABLE=ON  ..
    -- CMAKE_BUILD_TYPE: Release
    -- Detected 64 bit architecture
    -- Inference Engine enabled features: 
    -- 
    --     CI_BUILD_NUMBER: custom_master_b162f9d5ac8168d64f47a304358c37442d433e86
    --     ENABLE_TESTS = OFF
    --     ENABLE_MKL_DNN = OFF
    --     ENABLE_CLDNN = OFF
    --     ENABLE_LTO = OFF
    --     OS_FOLDER = OFF
    --     TREAT_WARNING_AS_ERROR = ON
    --     ENABLE_INTEGRITYCHECK = OFF
    --     ENABLE_SANITIZER = OFF
    --     ENABLE_THREAD_SANITIZER = OFF
    --     COVERAGE = OFF
    --     ENABLE_SSE42 = OFF
    --     ENABLE_AVX2 = ON
    --     ENABLE_AVX512F = ON
    --     ENABLE_PROFILING_ITT = ON
    -- 
    -- PROJECT ............................... OpenVINO
    -- CMAKE_BINARY_DIR ...................... /home/panda/git/openvino/build
    -- OpenVINO_MAIN_SOURCE_DIR .............. /home/panda/git/openvino
    -- IE_MAIN_SOURCE_DIR .................... /home/panda/git/openvino/inference-engine
    -- CMAKE_GENERATOR ....................... Unix Makefiles
    -- CMAKE_C_COMPILER_ID ................... GNU
    -- CMAKE_BUILD_TYPE ...................... Release
    -- INTEL_VTUNE_DIR is not defined
    -- Could NOT find ITT (missing: Located_ITT_INCLUDE_DIRS Located_ITT_LIBS) 
    CMake Warning at openvino/itt/CMakeLists.txt:26 (message):
      Profiling option enabled, but no ITT library was found
    
    
    -- The name openvino::itt is an ALIAS for itt. It will be exported to the InferenceEngineDeveloperPackage with the original name.
    -- Current hash b162f9d5ac8168d64f47a304358c37442d433e86
    -- NGRAPH_VERSION 0.0.0+b162f9d
    -- NGRAPH_VERSION_SHORT 0.0.0
    -- NGRAPH_WHEEL_VERSION 0.0.0
    -- NGRAPH_API_VERSION 0.0
    -- NGRAPH_ADDRESS_SANITIZER_ENABLE:      OFF
    -- NGRAPH_CODE_COVERAGE_ENABLE:          OFF
    -- NGRAPH_DEBUG_ENABLE:                  OFF
    -- NGRAPH_DEPRECATED_ENABLE:             ON
    -- NGRAPH_DYNAMIC_COMPONENTS_ENABLE:     ON
    -- NGRAPH_EXPORT_TARGETS_ENABLE:         ON
    -- NGRAPH_IE_ENABLE:                     OFF
    -- NGRAPH_IE_STATIC_LIB_ENABLE:          
    -- NGRAPH_INTERPRETER_ENABLE:            ON
    -- NGRAPH_LIB_VERSIONING_ENABLE:         OFF
    -- NGRAPH_ONNX_IMPORT_ENABLE:            ON
    -- NGRAPH_PYTHON_BUILD_ENABLE:           OFF
    -- NGRAPH_TEST_UTIL_ENABLE:              ON
    -- NGRAPH_THREAD_SANITIZER_ENABLE:       OFF
    -- NGRAPH_TOOLS_ENABLE:                  
    -- NGRAPH_UB_SANITIZER_ENABLE:           OFF
    -- NGRAPH_USE_PROTOBUF_LITE:             OFF
    -- NGRAPH_UNIT_TEST_ENABLE:              OFF
    -- NGRAPH_WARNINGS_AS_ERRORS:            OFF
    -- NGRAPH_CXX_STANDARD:                  11
    -- NGRAPH_FORWARD_CMAKE_ARGS -DCMAKE_C_COMPILER=/usr/bin/cc;-DCMAKE_CXX_COMPILER=/usr/bin/c++;-DCMAKE_CXX_STANDARD:STRING=11;-DCMAKE_CXX_STANDARD_REQUIRED:BOOL=ON;-DCMAKE_CXX_EXTENSIONS:BOOL=OFF;-DCMAKE_EXPORT_COMPILE_COMMANDS:BOOL=ON;-DCMAKE_POSITION_INDEPENDENT_CODE:BOOL=ON;-DCMAKE_BUILD_TYPE=Release
    -- Installation directory: /usr/local
    -- NGRAPH_COMMON_CXX_FLAGS -Wformat;-Wformat-security;-D_FORTIFY_SOURCE=2;-fstack-protector-strong;-s;-fsigned-char;-Werror;-ffunction-sections;-fdata-sections;-fdiagnostics-show-option;-Wundef;-Wreturn-type;-Wuninitialized;-Winit-self;-Wmaybe-uninitialized;-Wno-error=maybe-uninitialized;-Wno-error=return-type;-fPIC;-Wno-error=return-type;-Wno-undef
    -- NGRAPH_COMMON_C_FLAGS -Wformat;-Wformat-security;-D_FORTIFY_SOURCE=2;-fstack-protector-strong;-s;-ffunction-sections;-fdata-sections;-fdiagnostics-show-option;-Wundef;-Wreturn-type;-Wuninitialized;-Winit-self;-Wmaybe-uninitialized;-Wno-error=maybe-uninitialized;-Wno-error=return-type;-fPIC;-Wno-error=return-type;-Wno-undef
    -- Compile Flags: -Wformat -Wformat-security -D_FORTIFY_SOURCE=2 -fstack-protector-strong -s -fsigned-char -Werror -ffunction-sections -fdata-sections -fdiagnostics-show-option -Wundef -Wreturn-type -Wuninitialized -Winit-self -Wmaybe-uninitialized -Wno-error=maybe-uninitialized -Wno-error=return-type -fPIC -Wno-error=return-type -Wno-undef -DEIGEN_MPL2_ONLY -DTBB_USE_THREADING_TOOLS -DNGRAPH_DYNAMIC_COMPONENTS_ENABLE
    -- Shared Link Flags:  -Wl,--gc-sections -Wl,--exclude-libs,ALL
    -- CMAKE_CXX_FLAGS_RELEASE -O3 -DNDEBUG
    -- CMAKE_CXX_FLAGS_DEBUG -O0 -g
    -- 
    -- 3.7.1.0
    Generated: /home/panda/git/openvino/build/_deps/ext_onnx-build/onnx/onnx_ngraph_onnx-ml.proto
    Generated: /home/panda/git/openvino/build/_deps/ext_onnx-build/onnx/onnx-operators_ngraph_onnx-ml.proto
    -- 
    -- ******** Summary ********
    --   CMake version         : 3.16.3
    --   CMake command         : /usr/bin/cmake
    --   System                : Linux
    --   C++ compiler          : /usr/bin/c++
    --   C++ compiler version  : 9.3.0
    --   CXX flags             : -Wformat -Wformat-security -D_FORTIFY_SOURCE=2 -fstack-protector-strong -s -fsigned-char -Werror -ffunction-sections -fdata-sections -fdiagnostics-show-option -Wundef -Wreturn-type -Wuninitialized -Winit-self -Wmaybe-uninitialized -Wno-error=maybe-uninitialized -Wno-error=return-type -fPIC -Wno-error=return-type -Wno-undef -Wnon-virtual-dtor
    --   Build type            : Release
    --   Compile definitions   : IE_BUILD_POSTFIX="";NGRAPH_DEPRECATED_ENABLE;PROJECT_ROOT_DIR="/home/panda/git/openvino"
    --   CMAKE_PREFIX_PATH     : 
    --   CMAKE_INSTALL_PREFIX  : /usr/local
    --   CMAKE_MODULE_PATH     : /home/panda/git/openvino/cmake;/home/panda/git/openvino/cmake/download;/home/panda/git/openvino/cmake/cross_compile;/home/panda/git/openvino/ngraph/cmake/Modules/;/home/panda/git/openvino/cmake/Modules/
    -- 
    --   ONNX version          : 1.6.0
    --   ONNX NAMESPACE        : ngraph_onnx
    --   ONNX_BUILD_TESTS      : OFF
    --   ONNX_BUILD_BENCHMARKS : OFF
    --   ONNX_USE_LITE_PROTO   : OFF
    --   ONNXIFI_DUMMY_BACKEND : OFF
    --   ONNXIFI_ENABLE_EXT    : OFF
    -- 
    --   Protobuf compiler     : 
    --   Protobuf includes     : 
    --   Protobuf libraries    : 
    --   BUILD_ONNX_PYTHON     : OFF
    -- The name ngraph::reference is an ALIAS for ngraph_reference. It will be exported to the InferenceEngineDeveloperPackage with the original name.
    -- unit tests disabled
    -- Inference Engine enabled features: 
    -- 
    --     CI_BUILD_NUMBER: custom_master_b162f9d5ac8168d64f47a304358c37442d433e86
    --     ENABLE_TESTS = OFF
    --     ENABLE_MKL_DNN = OFF
    --     ENABLE_CLDNN = OFF
    --     ENABLE_LTO = OFF
    --     OS_FOLDER = OFF
    --     TREAT_WARNING_AS_ERROR = ON
    --     ENABLE_INTEGRITYCHECK = OFF
    --     ENABLE_SANITIZER = OFF
    --     ENABLE_THREAD_SANITIZER = OFF
    --     COVERAGE = OFF
    --     ENABLE_SSE42 = OFF
    --     ENABLE_AVX2 = ON
    --     ENABLE_AVX512F = ON
    --     ENABLE_PROFILING_ITT = ON
    --     ENABLE_GNA = ON
    --     ENABLE_CLDNN_TESTS = OFF
    --     THREADING = TBB
    --     GNA_LIBRARY_VERSION = GNA2
    --     ENABLE_VPU = ON
    --     ENABLE_MYRIAD = ON
    --     ENABLE_MYRIAD_NO_BOOT = OFF
    --     ENABLE_GAPI_TESTS = OFF
    --     GAPI_TEST_PERF = OFF
    --     ENABLE_MYRIAD_MVNC_TESTS = OFF
    --     ENABLE_DATA = OFF
    --     ENABLE_SAME_BRANCH_FOR_MODELS = OFF
    --     ENABLE_BEH_TESTS = OFF
    --     ENABLE_FUNCTIONAL_TESTS = OFF
    --     ENABLE_SAMPLES = ON
    --     ENABLE_SPEECH_DEMO = ON
    --     ENABLE_FUZZING = OFF
    --     VERBOSE_BUILD = OFF
    --     ENABLE_UNSAFE_LOCATIONS = OFF
    --     ENABLE_ALTERNATIVE_TEMP = ON
    --     ENABLE_OPENCV = ON
    --     ENABLE_PYTHON = ON
    --     ENABLE_V7_SERIALIZE = OFF
    --     ENABLE_JAVA = OFF
    --     ENABLE_CPPLINT = ON
    --     ENABLE_CPPLINT_REPORT = OFF
    --     ENABLE_CLANG_FORMAT = ON
    --     ENABLE_TBB_RELEASE_ONLY = ON
    -- 
    -- MODELS_PATH=
    CMake Warning at inference-engine/cmake/vpu_dependencies.cmake:120 (message):
      VPU_OCL_COMPILER is not found.  Some tests will skipped
    Call Stack (most recent call first):
      inference-engine/cmake/dependencies.cmake:43 (include)
      inference-engine/CMakeLists.txt:18 (include)
    
    
    CMake Warning at inference-engine/cmake/dependencies.cmake:304 (message):
      Unable to locate Speech Demo
    Call Stack (most recent call first):
      inference-engine/CMakeLists.txt:18 (include)
    
    
    -- libGNA::API INTERFACE_LIBRARY : /home/panda/git/openvino/inference-engine/temp/gna_02.00.00.1047.1/include
    -- libGNA::KERNEL SHARED_LIBRARY : /home/panda/git/openvino/inference-engine/temp/gna_02.00.00.1047.1/linux/x64/libgna.so
    -- Found Cython version 0.29.17
    -- Register template_plugin to be built in build-plugins/template_plugin
    -- Configuring done
    -- Generating done
    -- Build files have been written to: /home/panda/git/openvino/build
    
    make --jobs=$(nproc --all)
    
    

    稍等片刻就编译完成了。

    [ 98%] Linking CXX shared library ../../../../bin/intel64/Release/lib/libHeteroPlugin.so
    [ 98%] Linking CXX shared library ../../../../bin/intel64/Release/lib/libGNAPlugin.so
    [ 98%] Linking CXX shared library ../../../../../bin/intel64/Release/lib/libmyriadPlugin.so
    [ 98%] Linking CXX shared library ../../../../bin/intel64/Release/lib/libMultiDevicePlugin.so
    [ 98%] Built target MultiDevicePlugin
    [ 98%] Linking CXX shared library ../../../../../bin/intel64/Release/lib/libtemplatePlugin.so
    [ 98%] Built target HeteroPlugin
    [100%] Built target GNAPlugin
    [100%] Built target templatePlugin
    [100%] Built target myriadPlugin
    [100%] Linking CXX executable ../../../../../bin/intel64/Release/myriad_compile
    [100%] Linking CXX executable ../../../../../bin/intel64/Release/myriad_perfcheck
    [100%] Built target myriad_perfcheck
    [100%] Built target myriad_compile
    
    
    

    然后是安装

    sudo make install
    ...
    
    Install the project...
    -- Install configuration: "Release"
    -- Installing: /usr/local/bin/setupvars.sh
    -- Installing: /usr/local/install_dependencies
    ...
    
    
    

    文件默认被安装到 /usr/local 下, 为了与以往的脚本兼容,我手动将这些文件移动了 /opt/intel/openvino 目录下。
    然后安装 神经棒驱动文件

    panda@Panda:/opt/intel/openvino/install_dependencies$ source install_NCS_udev_rules.sh 
    Updating udev rules...
    Udev rules have been successfully installed.
    

    重启系统后,可以测试一下设备

    panda@Panda:/opt/intel/openvino/inference_engine/samples/python/hello_query_device$ lsusb
    Bus 001 Device 013: ID 03e7:2485 Intel Movidius MyriadX
    
    panda@Panda:/opt/intel/openvino/inference_engine/samples/python/hello_query_device$ python3 hello_query_device.py 
    Available devices:
    	Device: MYRIAD
    	Metrics:
    		DEVICE_THERMAL: UNSUPPORTED TYPE
    		OPTIMIZATION_CAPABILITIES: FP16
    		RANGE_FOR_ASYNC_INFER_REQUESTS: 3, 6, 1
    		SUPPORTED_METRICS: DEVICE_THERMAL, OPTIMIZATION_CAPABILITIES, RANGE_FOR_ASYNC_INFER_REQUESTS, SUPPORTED_METRICS, SUPPORTED_CONFIG_KEYS, FULL_DEVICE_NAME, AVAILABLE_DEVICES
    		SUPPORTED_CONFIG_KEYS: DEVICE_ID, EXCLUSIVE_ASYNC_REQUESTS, LOG_LEVEL, VPU_MYRIAD_FORCE_RESET, VPU_MYRIAD_PLATFORM, VPU_CUSTOM_LAYERS, PERF_COUNT, VPU_PRINT_RECEIVE_TENSOR_TIME, CONFIG_FILE, VPU_HW_STAGES_OPTIMIZATION, MYRIAD_ENABLE_FORCE_RESET, MYRIAD_ENABLE_RECEIVING_TENSOR_TIME, MYRIAD_CUSTOM_LAYERS, MYRIAD_ENABLE_HW_ACCELERATION
    		FULL_DEVICE_NAME: Intel Movidius Myriad X VPU
    		AVAILABLE_DEVICES: 1.1-ma2480
    
    	Default values for device configuration keys:
    		DEVICE_ID: 
    		EXCLUSIVE_ASYNC_REQUESTS: NO
    		LOG_LEVEL: LOG_NONE
    		VPU_MYRIAD_FORCE_RESET: NO
    		VPU_MYRIAD_PLATFORM: 
    		VPU_CUSTOM_LAYERS: 
    		PERF_COUNT: NO
    		VPU_PRINT_RECEIVE_TENSOR_TIME: NO
    		CONFIG_FILE: 
    		VPU_HW_STAGES_OPTIMIZATION: YES
    		MYRIAD_ENABLE_FORCE_RESET: NO
    		MYRIAD_ENABLE_RECEIVING_TENSOR_TIME: NO
    		MYRIAD_CUSTOM_LAYERS: 
    		MYRIAD_ENABLE_HW_ACCELERATION: YES
    

    跑个分类模型测试一下
    在这里插入图片描述

    panda@Panda:/opt/intel/openvino/inference_engine/samples/python$ python3 classification_sample/classification_sample.py --input ~/test/beagle.jpeg --model ~/ml/models/public/squeezenet1.1/FP16/squeezenet1.1.xml -d MYRIAD --labels ~/ml/models/synset_words.txt 
    [ INFO ] Creating Inference Engine
    [ INFO ] Loading network files:
    	/home/panda/ml/models/public/squeezenet1.1/FP16/squeezenet1.1.xml
    	/home/panda/ml/models/public/squeezenet1.1/FP16/squeezenet1.1.bin
    [ INFO ] Preparing input blobs
    [ WARNING ] Image /home/panda/test/beagle.jpeg is resized from (168, 300) to (227, 227)
    [ INFO ] Batch size is 1
    [ INFO ] Loading model to the plugin
    [ INFO ] Starting inference in synchronous mode
    [ INFO ] Processing output blob
    [ INFO ] Top 10 results: 
    Image /home/panda/test/beagle.jpeg
    
    classid probability
    ------- -----------
    beagle    0.6635742
    English foxhound 0.2944336
    Walker hound, Walker foxhound0.0374146
     boxer   0.0008821
    Saint Bernard, St Bernard0.0008273
    Greater Swiss Mountain dog0.0006657
    Welsh springer spaniel0.0005026
    basset, basset hound0.0003791
    EntleBucher0.0002651
    American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier0.0002090
    
    
    [ INFO ] This sample is an API example, for any performance measurements please use the dedicated benchmark_app tool
    
    

    一切正常,又可以愉快的玩耍了!

    谢谢阅读,如果您觉得有用,请收藏点赞投票。

    展开全文
  • Panda3D 01 安装 Panda3D

    2020-05-02 18:03:44
    在 Windows 上安装 Panda3D 下载安装程序 首先打开 官网 点击 Get the SDK, 选择自己的平台(这里小编用的是 Windows 平台): 安装 Panda3D 安装就很简单了,只需要跟着安装程序一步步的做就行了 ...

    下载安装程序

    首先打开 官网
    点击 Get the SDK,
    在这里插入图片描述
    选择自己的平台(这里小编用的是 Windows 平台):
    在这里插入图片描述

    安装 Panda3D

    安装就很简单了,只需要跟着安装程序一步步的做就行了

    展开全文
  • PANDA 下载及安装

    万次阅读 2018-09-22 16:05:08
    PANDA非pandas 关于PANDA软件的安装资料非常少 这是个简单的安装过程 PANDA是运行在Linux 下 依赖 matlab和fsl环境 所以安装之前需要先安装 Matlab和FSL 下载地址 :https://www.nitrc.org/projects/panda/ ...

    PANDA非pandas 关于PANDA软件的安装资料非常少 这是个简单的安装过程

    PANDA是运行在Linux 下 依赖 matlab和fsl环境 所以安装之前需要先安装 Matlab和FSL

    下载地址 :https://www.nitrc.org/projects/panda/ 直接下载就是最新版本的

    解压并放在路径下 例 home/username/panda/     

                                             

     想要运行PANDA 需要把PANDA的路径加到Matlab中,打开Matlab 点击Set Path

      

    添加路径 点击 Add with Subfolders...

     

    添加PANDA解压的目录(路径) 点击 Open

    添加后 保存(Save) 注意:可能会报错 直接点Save 就行

    至此 PANDA 路径已经添加完成 打开Matlab 输入 PANDA(大写) 运行PANDA

    PANDA 安装完成

     

        

    展开全文
  • Ubuntu16.04 conda安装sklearn安装sklearnsklearn简介sklearn安装安装pandapanda简介panda安装安装mnemne简介mne安装 安装sklearn sklearn简介 Scikit-learn(sklearn)是机器学习中常用的第三方模块,对常用的机器...

    该博客为《Ubuntu 相关》系列博客的第十六篇,该系列博客主要对Ubuntu安装各种软件或者库进行一个记录,方便重装系统后快速恢复工作。

    安装sklearn

    sklearn简介

    Scikit-learn(sklearn)是机器学习中常用的第三方模块,对常用的机器学习方法进行了封装,包括回归(Regression)、降维(Dimensionality Reduction)、分类(Classfication)、聚类(Clustering)等方法。当我们面临机器学习问题时,便可根据下图来选择相应的方法。Sklearn具有以下特点:

    • 简单高效的数据挖掘和数据分析工具
    • 让每个人能够在复杂环境中重复使用
    • 建立NumPy、Scipy、MatPlotLib之上

    sklearn安装

    1. 激活paddle虚拟环境
    source activate paddle_env
    

    在这里插入图片描述
    2. sklearn安装

    conda install scikit-learn
    

    在这里插入图片描述
    3. 检查是否安装成功
    在这里插入图片描述

    安装panda

    panda简介

    在Python中,pandas是基于NumPy数组构建的,使数据预处理、清洗、分析工作变得更快更简单。pandas是专门为处理表格和混杂数据设计的,而NumPy更适合处理统一的数值数组数据。

    panda安装

     pip install pandas -i https://pypi.tuna.tsinghua.edu.cn/simple
    

    在这里插入图片描述

    安装mne

    mne简介

    mne-python是一款开源的用于EEG/EMG分析、处理和显示的软件。遵循BSD-license协议,由Harvard大学牵头,社区共同开发。主要功能包括:EEG/MEG信号的预处理和去噪,源估计,时频分析,统计测试,功能性连接,机器学习,传感器和源的可视化等等。

    mne支持了大部分常见的原始数据格式,默认的(以及自带的sample data)采用的是一种.fif格式,但同时它也支持如.vhdr,.edf,.bdf,.cnt,.egi,.set等格式。

    mne安装

    pip install mne -i https://pypi.tuna.tsinghua.edu.cn/simple
    

    在这里插入图片描述

    展开全文
  • 如果您以前已经安装Panda,您应该在安装新版本之前卸载它。一旦您的机器清除了所有先前版本的Panda3D,您应该从下载页面下载windows安装程序。运行安装程序,并遵循提示: 安装Panda之后,您应该运行示例程序...
  • 使用高级安装程序安装基于jvm的Panda版本。 安装程序将下载最新版本的Panda并创建必要的文件关联。 它还提供了Panda使用的最新版本的JRE。 :world_map: 资料下载 下载: :brain: 堆栈和动机 创建安装程序的首次...
  • PANDA pipeline的安装与使用-安装(1)

    千次阅读 2016-03-21 20:01:33
    首先在http://www.nitrc.org/projects/panda/这里可以了解到panda的基本知识还有下载方式。 我选用ubuntu14.04作为Linux平台的操作系统。 装Ubuntu很简单,利用UISO配合引导盘直接就可以刷进去,装好了之后会发现...
  • pycharm项目支持包增加Panda3D即可 新建项目py文件测试一下 from math import pi, sin, cos from math import pi, sin, cos from math import pi, sin, cos from direct.showbase.ShowBase import ShowBase ...
  • Part 1:什么是Panda3D [原始网站] [中文...Part 3:使用已安装的Python  将‘C:\Panda3D-1.8.1\python'中的panda.pth复制到‘C:Python27’下。  打开panda.pth,删去原有内容,添加一下两行: C:\Panda3D-1.8...
  • LattePanda Delta拿铁熊猫开发板安装SSD及刷多系统LattePanda Delta开发板简介接口介绍和硬盘选择在eMMC上安装原生镜像在新硬盘上安装系统 LattePanda Delta开发板简介 LattePanda Delta, 数学符号△,它标志着产品...
  • 之前在ubuntu上搭建好的平台遇到了跑图像时提示Error using save Variable 'sample' not found. Error in PANDA>RUNButton_Callback (line 802) eval(cmdString) Error in gui_mainfcn (line 95) feval(vararg
  • Ubuntu 18.04.4 LTS 成功安装FSL+PANDA

    千次阅读 2020-07-18 06:27:37
    背景,我想使用PANDA软件(这个matlab工具包基于fsl),但是发现所有操作都是报错,以为是fsl没有安装好,所以就开启了重装fsl的一系列操作。 如果你只是想使用fsl的话就可以不用看了。 但是你想使用PANDA软件的话...
  • 使用github上提供的scripts/build_ubuntu.sh安装报如下所示的错误:ERROR: DTC (libfdt) version >= 1.4.2 not present. Your options: (1) Preferred: Install the DTC (libfdt) devel package (2) Fetch ...

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