在 Debian 和 Ubuntu 上安裝
安裝 Bazelisk。
按照官方 Bazel 說明文件安裝 Bazelisk。
查看 MediaPipe 存放區。
$ cd $HOME $ git clone --depth 1 https://github.com/google/mediapipe.git # Change directory into MediaPipe root directory $ cd mediapipe安裝 OpenCV 和 FFmpeg。
選項 1：使用套件管理員工具安裝預先編譯的 OpenCV 程式庫。系統會透過
libopencv-video-dev安裝 FFmpeg。作業系統 OpenCV Debian 9 (stretch) 2.4 Debian 10 (buster) 3.2 Debian 11 (bullseye) 4.5 Ubuntu 16.04 LTS 2.4 Ubuntu 18.04 LTS 3.2 Ubuntu 20.04 LTS 4.2 Ubuntu 20.04 LTS 4.2 Ubuntu 21.04 4.5 $ sudo apt-get install -y \ libopencv-core-dev \ libopencv-highgui-dev \ libopencv-calib3d-dev \ libopencv-features2d-dev \ libopencv-imgproc-dev \ libopencv-video-dev注意：在 Debian 11/Ubuntu 21.04 上，如果搭配使用
libopencv-video-dev和 OpenCV 4.5，則應安裝libopencv-contrib-dev。$ sudo apt-get install -y libopencv-contrib-devMediaPipe 的
opencv_linux.BUILD和WORKSPACE已針對 OpenCV 2/3 進行設定，應可在任何架構上正常運作：# WORKSPACE new_local_repository( name = "linux_opencv", build_file = "@//third_party:opencv_linux.BUILD", path = "/usr", ) # opencv_linux.BUILD for OpenCV 2/3 installed from Debian package cc_library( name = "opencv", linkopts = [ "-l:libopencv_core.so", "-l:libopencv_calib3d.so", "-l:libopencv_features2d.so", "-l:libopencv_highgui.so", "-l:libopencv_imgcodecs.so", "-l:libopencv_imgproc.so", "-l:libopencv_video.so", "-l:libopencv_videoio.so", ], )針對 OpenCV 4，您需要考量目前架構而修改
opencv_linux.BUILD：# WORKSPACE new_local_repository( name = "linux_opencv", build_file = "@//third_party:opencv_linux.BUILD", path = "/usr", ) # opencv_linux.BUILD for OpenCV 4 installed from Debian package cc_library( name = "opencv", hdrs = glob([ # Uncomment according to your multiarch value (gcc -print-multiarch): # "include/aarch64-linux-gnu/opencv4/opencv2/cvconfig.h", # "include/arm-linux-gnueabihf/opencv4/opencv2/cvconfig.h", # "include/x86_64-linux-gnu/opencv4/opencv2/cvconfig.h", "include/opencv4/opencv2/**/*.h*", ]), includes = [ # Uncomment according to your multiarch value (gcc -print-multiarch): # "include/aarch64-linux-gnu/opencv4/", # "include/arm-linux-gnueabihf/opencv4/", # "include/x86_64-linux-gnu/opencv4/", "include/opencv4/", ], linkopts = [ "-l:libopencv_core.so", "-l:libopencv_calib3d.so", "-l:libopencv_features2d.so", "-l:libopencv_highgui.so", "-l:libopencv_imgcodecs.so", "-l:libopencv_imgproc.so", "-l:libopencv_video.so", "-l:libopencv_videoio.so", ], )選項 2：執行
setup_opencv.sh，自動從來源建構 OpenCV，並修改 MediaPipe 的 OpenCV 設定。這個選項會自動執行「選項 3」中定義的所有步驟。選項 3：請按照 OpenCV 的說明文件，手動從原始碼建構 OpenCV。
您可能需要修改
WORKSPACE和opencv_linux.BUILD，將 MediaPipe 指向您自己的 OpenCV 程式庫。假設 OpenCV 會安裝至/usr/local/(預設建議使用)。OpenCV 2/3 設定：
# WORKSPACE new_local_repository( name = "linux_opencv", build_file = "@//third_party:opencv_linux.BUILD", path = "/usr/local", ) # opencv_linux.BUILD for OpenCV 2/3 installed to /usr/local cc_library( name = "opencv", linkopts = [ "-L/usr/local/lib", "-l:libopencv_core.so", "-l:libopencv_calib3d.so", "-l:libopencv_features2d.so", "-l:libopencv_highgui.so", "-l:libopencv_imgcodecs.so", "-l:libopencv_imgproc.so", "-l:libopencv_video.so", "-l:libopencv_videoio.so", ], )OpenCV 4 設定：
# WORKSPACE new_local_repository( name = "linux_opencv", build_file = "@//third_party:opencv_linux.BUILD", path = "/usr/local", ) # opencv_linux.BUILD for OpenCV 4 installed to /usr/local cc_library( name = "opencv", hdrs = glob([ "include/opencv4/opencv2/**/*.h*", ]), includes = [ "include/opencv4/", ], linkopts = [ "-L/usr/local/lib", "-l:libopencv_core.so", "-l:libopencv_calib3d.so", "-l:libopencv_features2d.so", "-l:libopencv_highgui.so", "-l:libopencv_imgcodecs.so", "-l:libopencv_imgproc.so", "-l:libopencv_video.so", "-l:libopencv_videoio.so", ], )目前的 FFmpeg 設定是在
ffmpeg_linux.BUILD中定義，應可用於任何架構：# WORKSPACE new_local_repository( name = "linux_ffmpeg", build_file = "@//third_party:ffmpeg_linux.BUILD", path = "/usr" ) # ffmpeg_linux.BUILD for FFmpeg installed from Debian package cc_library( name = "libffmpeg", linkopts = [ "-l:libavcodec.so", "-l:libavformat.so", "-l:libavutil.so", ], )僅適用於在具備 GPU 加速功能的 Linux (非 OS X) 上執行桌面範例。
# Requires a GPU with EGL driver support. # Can use mesa GPU libraries for desktop, (or Nvidia/AMD equivalent). sudo apt-get install mesa-common-dev libegl1-mesa-dev libgles2-mesa-dev # To compile with GPU support, replace --define MEDIAPIPE_DISABLE_GPU=1 # with --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 # when building GPU examples.-
$ export GLOG_logtostderr=1 # if you are running on Linux desktop with CPU only $ bazel run --define MEDIAPIPE_DISABLE_GPU=1 \ mediapipe/examples/desktop/hello_world:hello_world # If you are running on Linux desktop with GPU support enabled (via mesa drivers) $ bazel run --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 \ mediapipe/examples/desktop/hello_world:hello_world # Should print: # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World!
如果您遇到建構錯誤，請參閱疑難排解，尋找一些常見建構問題的解決方案。
在 CentOS 上安裝
免責事項：在 CentOS 上執行 MediaPipe 仍處於實驗階段。
安裝 Bazelisk。
按照官方 Bazel 說明文件安裝 Bazelisk。
查看 MediaPipe 存放區。
$ git clone --depth 1 https://github.com/google/mediapipe.git # Change directory into MediaPipe root directory $ cd mediapipe安裝 OpenCV。
選項 1：使用套件管理工具安裝預先編譯的版本。
$ sudo yum install opencv-devel選項 2：使用原始碼建構 OpenCV。
new_local_repository( name = "linux_opencv", build_file = "@//third_party:opencv_linux.BUILD", path = "/usr/local", ) new_local_repository( name = "linux_ffmpeg", build_file = "@//third_party:ffmpeg_linux.BUILD", path = "/usr/local", ) cc_library( name = "opencv", srcs = glob( [ "lib/libopencv_core.so", "lib/libopencv_highgui.so", "lib/libopencv_imgcodecs.so", "lib/libopencv_imgproc.so", "lib/libopencv_video.so", "lib/libopencv_videoio.so", ], ), hdrs = glob([ # For OpenCV 3.x "include/opencv2/**/*.h*", # For OpenCV 4.x # "include/opencv4/opencv2/**/*.h*", ]), includes = [ # For OpenCV 3.x "include/", # For OpenCV 4.x # "include/opencv4/", ], linkstatic = 1, visibility = ["//visibility:public"], ) cc_library( name = "libffmpeg", srcs = glob( [ "lib/libav*.so", ], ), hdrs = glob(["include/libav*/*.h"]), includes = ["include"], linkopts = [ "-lavcodec", "-lavformat", "-lavutil", ], linkstatic = 1, visibility = ["//visibility:public"], )-
$ export GLOG_logtostderr=1 # Need bazel flag 'MEDIAPIPE_DISABLE_GPU=1' if you are running on Linux desktop with CPU only $ bazel run --define MEDIAPIPE_DISABLE_GPU=1 \ mediapipe/examples/desktop/hello_world:hello_world # Should print: # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World!
如果遇到建構錯誤，請參閱疑難排解，瞭解幾種常見建構問題的解決方法。
在 macOS 上安裝
事前作業：
安裝 Bazelisk。
請按照官方 Bazel 說明文件安裝 Bazelisk。
結帳 MediaPipe 存放區。
$ git clone --depth 1 https://github.com/google/mediapipe.git $ cd mediapipe安裝 OpenCV 和 FFmpeg。
選項 1：使用 HomeBrew 套件管理工具安裝預先編譯的 OpenCV 3 程式庫。FFmpeg 會透過 OpenCV 安裝。
$ brew install opencv@3 # There is a known issue caused by the glog dependency. Uninstall glog. $ brew uninstall --ignore-dependencies glog選項 2：使用 MacPorts 套件管理工具安裝 OpenCV 程式庫。
$ port install opencvnew_local_repository( name = "macos_opencv", build_file = "@//third_party:opencv_macos.BUILD", path = "/opt", ) new_local_repository( name = "macos_ffmpeg", build_file = "@//third_party:ffmpeg_macos.BUILD", path = "/opt", ) cc_library( name = "opencv", srcs = glob( [ "local/lib/libopencv_core.dylib", "local/lib/libopencv_highgui.dylib", "local/lib/libopencv_imgcodecs.dylib", "local/lib/libopencv_imgproc.dylib", "local/lib/libopencv_video.dylib", "local/lib/libopencv_videoio.dylib", ], ), hdrs = glob(["local/include/opencv2/**/*.h*"]), includes = ["local/include/"], linkstatic = 1, visibility = ["//visibility:public"], ) cc_library( name = "libffmpeg", srcs = glob( [ "local/lib/libav*.dylib", ], ), hdrs = glob(["local/include/libav*/*.h"]), includes = ["local/include/"], linkopts = [ "-lavcodec", "-lavformat", "-lavutil", ], linkstatic = 1, visibility = ["//visibility:public"], )請確認已安裝 Python 3 和 Python「six」程式庫。
$ brew install python $ sudo ln -s -f /usr/local/bin/python3.7 /usr/local/bin/python $ python --version Python 3.7.4 $ pip3 install --user six-
$ export GLOG_logtostderr=1 # Need bazel flag 'MEDIAPIPE_DISABLE_GPU=1' as desktop GPU is currently not supported $ bazel run --define MEDIAPIPE_DISABLE_GPU=1 \ mediapipe/examples/desktop/hello_world:hello_world # Should print: # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World!
如果遇到建構錯誤，請參閱疑難排解，瞭解幾種常見建構問題的解決方法。
在 Windows 上安裝
免責事項：在 Windows 上執行 MediaPipe 仍處於實驗階段。
安裝 MSYS2 並編輯
%PATH%環境變數。如果 MSYS2 是安裝至
C:\msys64，請將C:\msys64\usr\bin加入%PATH%環境變數。安裝必要套件。
C:\> pacman -S git patch unzip安裝 Python，並允許執行檔編輯
%PATH%環境變數。從 https://www.python.org/downloads 下載 Python Windows 執行檔，然後安裝。
安裝 Visual C++ Build Tools 2019 和 WinSDK
前往 VisualStudio 網站下載建構工具，並安裝 Microsoft Visual C++ 2019 Redistributable 和 Microsoft Build Tools 2019。
從官方 Microsoft 網站下載並安裝 WinSDK。
安裝 Bazel 或 Bazelisk，並將 Bazel 執行檔的位置新增至
%PATH%環境變數。選項 1：請參閱官方 Bazel 說明文件，瞭解如何安裝 Bazel 6.5.0 以上版本。
選項 2：請按照官方 Bazel 說明文件安裝 Bazelisk。
設定 Bazel 變數。如要進一步瞭解「在 Windows 上建構」，請參閱 Bazel 官方說明文件。
# Please find the exact paths and version numbers from your local version. C:\> set BAZEL_VS=C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools C:\> set BAZEL_VC=C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC C:\> set BAZEL_VC_FULL_VERSION=<Your local VC version> C:\> set BAZEL_WINSDK_FULL_VERSION=<Your local WinSDK version>查看 MediaPipe 存放區。
C:\Users\Username\mediapipe_repo> git clone --depth 1 https://github.com/google/mediapipe.git # Change directory into MediaPipe root directory C:\Users\Username\mediapipe_repo> cd mediapipe安裝 OpenCV。
從 https://opencv.org/releases/ 下載並安裝 Windows 可執行檔。MediaPipe 0.10.x 支援 OpenCV 3.4.10。如果 OpenCV 未安裝在
C:\opencv，請務必編輯WORKSPACE檔案。new_local_repository( name = "windows_opencv", build_file = "@//third_party:opencv_windows.BUILD", path = "C:\\<path to opencv>\\build", )-
C:\Users\Username\mediapipe_repo>bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 --action_env PYTHON_BIN_PATH="C://python_36//python.exe" mediapipe/examples/desktop/hello_world C:\Users\Username\mediapipe_repo>set GLOG_logtostderr=1 C:\Users\Username\mediapipe_repo>bazel-bin\mediapipe\examples\desktop\hello_world\hello_world.exe # should print: # I20200514 20:43:12.277598 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.278597 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.279618 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.279618 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.279618 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.279618 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.279618 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.279618 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.279618 1200 hello_world.cc:56] Hello World! # I20200514 20:43:12.280613 1200 hello_world.cc:56] Hello World!
如果遇到建構錯誤，請參閱疑難排解，瞭解幾種常見建構問題的解決方法。
在 Windows Subsystem for Linux (WSL) 上安裝
按照操作說明安裝適用於 Linux (Ubuntu) 的 Windows 子系統。
安裝 Windows ADB，並在 Windows 中啟動 ADB 伺服器。
啟動 WSL。
安裝所需套件。
username@DESKTOP-TMVLBJ1:~$ sudo apt-get update && sudo apt-get install -y build-essential git python zip adb openjdk-8-jdk安裝 Bazelisk。
按照官方 Bazel 說明文件安裝 Bazelisk。
查看 MediaPipe 存放區。
username@DESKTOP-TMVLBJ1:~$ git clone --depth 1 https://github.com/google/mediapipe.git username@DESKTOP-TMVLBJ1:~$ cd mediapipe安裝 OpenCV 和 FFmpeg。
選項 1：使用套件管理工具安裝預先編譯的 OpenCV 程式庫。FFmpeg 會透過 libopencv-video-dev 安裝。
username@DESKTOP-TMVLBJ1:~/mediapipe$ sudo apt-get install libopencv-core-dev libopencv-highgui-dev \ libopencv-calib3d-dev libopencv-features2d-dev \ libopencv-imgproc-dev libopencv-video-dev選項 2：執行
setup_opencv.sh以從來源自動建構 OpenCV，並修改 MediaPipe 的 OpenCV 設定。方法 3：請按照 OpenCV 的說明文件，手動從原始碼建構 OpenCV。
new_local_repository( name = "linux_opencv", build_file = "@//third_party:opencv_linux.BUILD", path = "/usr/local", ) cc_library( name = "opencv", srcs = glob( [ "lib/libopencv_core.so", "lib/libopencv_highgui.so", "lib/libopencv_imgcodecs.so", "lib/libopencv_imgproc.so", "lib/libopencv_video.so", "lib/libopencv_videoio.so", ], ), hdrs = glob(["include/opencv4/**/*.h*"]), includes = ["include/opencv4/"], linkstatic = 1, visibility = ["//visibility:public"], )-
username@DESKTOP-TMVLBJ1:~/mediapipe$ export GLOG_logtostderr=1 # Need bazel flag 'MEDIAPIPE_DISABLE_GPU=1' as desktop GPU is currently not supported username@DESKTOP-TMVLBJ1:~/mediapipe$ bazel run --define MEDIAPIPE_DISABLE_GPU=1 \ mediapipe/examples/desktop/hello_world:hello_world # Should print: # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World!
如果遇到建構錯誤，請參閱「疑難排解」一文，瞭解幾個常見建構問題的解決方法。
使用 Docker 安裝
這會使用 Docker 映像檔，將 MediaPipe 的安裝作業與系統的其他部分區隔開來。
在主機系統上安裝 Docker。
使用「mediapipe」標記建構 Docker 映像檔。
$ git clone --depth 1 https://github.com/google/mediapipe.git $ cd mediapipe $ docker build --tag=mediapipe . # Should print: # Sending build context to Docker daemon 147.8MB # Step 1/9 : FROM ubuntu:latest # latest: Pulling from library/ubuntu # 6abc03819f3e: Pull complete # 05731e63f211: Pull complete # ........ # See http://bazel.build/docs/getting-started.html to start a new project! # Removing intermediate container 82901b5e79fa # ---> f5d5f402071b # Step 9/9 : COPY . /edge/mediapipe/ # ---> a95c212089c5 # Successfully built a95c212089c5 # Successfully tagged mediapipe:latest-
$ docker run -it --name mediapipe mediapipe:latest root@bca08b91ff63:/mediapipe# GLOG_logtostderr=1 bazel run --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/hello_world # Should print: # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World! # Hello World!
如果遇到建構錯誤，請參閱「疑難排解」一文，瞭解幾個常見建構問題的解決方法。
建構 MediaPipe Android 範例。
$ docker run -it --name mediapipe mediapipe:latest root@bca08b91ff63:/mediapipe# bash ./setup_android_sdk_and_ndk.sh # Should print: # Android NDK is now installed. Consider setting $ANDROID_NDK_HOME environment variable to be /root/Android/Sdk/ndk-bundle/android-ndk-r19c # Set android_ndk_repository and android_sdk_repository in WORKSPACE # Done root@bca08b91ff63:/mediapipe# bazel build -c opt --config=android_arm64 mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu:objectdetectiongpu # Should print: # Target //mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu:objectdetectiongpu up-to-date: # bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu/objectdetectiongpu_deploy.jar # bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu/objectdetectiongpu_unsigned.apk # bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu/objectdetectiongpu.apk # INFO: Elapsed time: 144.462s, Critical Path: 79.47s # INFO: 1958 processes: 1 local, 1863 processwrapper-sandbox, 94 worker. # INFO: Build completed successfully, 2028 total actions