801 lines
25 KiB
Markdown
801 lines
25 KiB
Markdown
---
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layout: default
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title: Installation
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parent: Getting Started
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nav_order: 1
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---
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# Installation
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{: .no_toc }
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1. TOC
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{:toc}
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---
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Note: To interoperate with OpenCV, OpenCV 3.x and above are preferred. OpenCV
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2.x currently works but interoperability support may be deprecated in the
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future.
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Note: If you plan to use TensorFlow calculators and example apps, there is a
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known issue with gcc and g++ version 6.3 and 7.3. Please use other versions.
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Note: To make Mediapipe work with TensorFlow, please set Python 3.7 as the
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default Python version and install the Python "six" library by running `pip3
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install --user six`.
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Note: To build and run Android example apps, see these
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[instructions](./building_examples.md#android). To build and run iOS example
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apps, see these [instructions](./building_examples.md#ios).
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## Installing on Debian and Ubuntu
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1. Checkout MediaPipe repository.
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```bash
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$ git clone https://github.com/google/mediapipe.git
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# Change directory into MediaPipe root directory
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$ cd mediapipe
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```
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2. Install Bazel.
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Follow the official
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[Bazel documentation](https://docs.bazel.build/versions/master/install-ubuntu.html)
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to install Bazel 2.0 or higher.
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For Nvidia Jetson and Raspberry Pi devices with ARM Ubuntu, Bazel needs to
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be built from source.
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```bash
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# For Bazel 3.0.0
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wget https://github.com/bazelbuild/bazel/releases/download/3.0.0/bazel-3.0.0-dist.zip
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sudo apt-get install build-essential openjdk-8-jdk python zip unzip
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unzip bazel-3.0.0-dist.zip
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env EXTRA_BAZEL_ARGS="--host_javabase=@local_jdk//:jdk" bash ./compile.sh
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sudo cp output/bazel /usr/local/bin/
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```
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3. Install OpenCV and FFmpeg.
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Option 1. Use package manager tool to install the pre-compiled OpenCV
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libraries. FFmpeg will be installed via libopencv-video-dev.
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Note: Debian 9 and Ubuntu 16.04 provide OpenCV 2.4.9. You may want to take
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option 2 or 3 to install OpenCV 3 or above.
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```bash
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$ sudo apt-get install libopencv-core-dev libopencv-highgui-dev \
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libopencv-calib3d-dev libopencv-features2d-dev \
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libopencv-imgproc-dev libopencv-video-dev
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```
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Debian 9 and Ubuntu 18.04 install the packages in
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`/usr/lib/x86_64-linux-gnu`. MediaPipe's [`opencv_linux.BUILD`] and
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[`ffmpeg_linux.BUILD`] are configured for this library path. Ubuntu 20.04
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may install the OpenCV and FFmpeg packages in `/usr/local`, Please follow
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the option 3 below to modify the [`WORKSPACE`], [`opencv_linux.BUILD`] and
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[`ffmpeg_linux.BUILD`] files accordingly.
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Moreover, for Nvidia Jetson and Raspberry Pi devices with ARM Ubuntu, the
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library path needs to be modified like the following:
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```bash
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sed -i "s/x86_64-linux-gnu/aarch64-linux-gnu/g" third_party/opencv_linux.BUILD
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```
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Option 2. Run [`setup_opencv.sh`] to automatically build OpenCV from source
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and modify MediaPipe's OpenCV config.
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Option 3. Follow OpenCV's
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[documentation](https://docs.opencv.org/3.4.6/d7/d9f/tutorial_linux_install.html)
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to manually build OpenCV from source code.
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Note: You may need to modify [`WORKSPACE`], [`opencv_linux.BUILD`] and
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[`ffmpeg_linux.BUILD`] to point MediaPipe to your own OpenCV and FFmpeg
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libraries. For example if OpenCV and FFmpeg are both manually installed in
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"/usr/local/", you will need to update: (1) the "linux_opencv" and
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"linux_ffmpeg" new_local_repository rules in [`WORKSPACE`], (2) the "opencv"
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cc_library rule in [`opencv_linux.BUILD`], and (3) the "libffmpeg"
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cc_library rule in [`ffmpeg_linux.BUILD`]. These 3 changes are shown below:
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```bash
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new_local_repository(
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name = "linux_opencv",
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build_file = "@//third_party:opencv_linux.BUILD",
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path = "/usr/local",
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)
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new_local_repository(
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name = "linux_ffmpeg",
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build_file = "@//third_party:ffmpeg_linux.BUILD",
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path = "/usr/local",
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)
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cc_library(
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name = "opencv",
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srcs = glob(
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[
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"lib/libopencv_core.so",
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"lib/libopencv_highgui.so",
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"lib/libopencv_imgcodecs.so",
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"lib/libopencv_imgproc.so",
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"lib/libopencv_video.so",
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"lib/libopencv_videoio.so",
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],
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),
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hdrs = glob([
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# For OpenCV 3.x
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"include/opencv2/**/*.h*",
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# For OpenCV 4.x
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# "include/opencv4/opencv2/**/*.h*",
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]),
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includes = [
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# For OpenCV 3.x
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"include/",
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# For OpenCV 4.x
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# "include/opencv4/",
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],
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linkstatic = 1,
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visibility = ["//visibility:public"],
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)
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cc_library(
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name = "libffmpeg",
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srcs = glob(
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[
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"lib/libav*.so",
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],
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),
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hdrs = glob(["include/libav*/*.h"]),
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includes = ["include"],
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linkopts = [
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"-lavcodec",
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"-lavformat",
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"-lavutil",
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],
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linkstatic = 1,
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visibility = ["//visibility:public"],
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)
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```
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4. For running desktop examples on Linux only (not on OS X) with GPU
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acceleration.
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```bash
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# Requires a GPU with EGL driver support.
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# Can use mesa GPU libraries for desktop, (or Nvidia/AMD equivalent).
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sudo apt-get install mesa-common-dev libegl1-mesa-dev libgles2-mesa-dev
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# To compile with GPU support, replace
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--define MEDIAPIPE_DISABLE_GPU=1
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# with
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--copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11
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# when building GPU examples.
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```
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5. Run the [Hello World desktop example](./hello_world_desktop.md).
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```bash
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$ export GLOG_logtostderr=1
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# if you are running on Linux desktop with CPU only
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$ bazel run --define MEDIAPIPE_DISABLE_GPU=1 \
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mediapipe/examples/desktop/hello_world:hello_world
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# If you are running on Linux desktop with GPU support enabled (via mesa drivers)
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$ bazel run --copt -DMESA_EGL_NO_X11_HEADERS --copt -DEGL_NO_X11 \
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mediapipe/examples/desktop/hello_world:hello_world
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# Should print:
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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```
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If you run into a build error, please read
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[Troubleshooting](./troubleshooting.md) to find the solutions of several common
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build issues.
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## Installing on CentOS
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**Disclaimer**: Running MediaPipe on CentOS is experimental.
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1. Checkout MediaPipe repository.
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```bash
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$ git clone https://github.com/google/mediapipe.git
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# Change directory into MediaPipe root directory
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$ cd mediapipe
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```
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2. Install Bazel.
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Follow the official
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[Bazel documentation](https://docs.bazel.build/versions/master/install-redhat.html)
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to install Bazel 2.0 or higher.
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3. Install OpenCV.
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Option 1. Use package manager tool to install the pre-compiled version.
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Note: yum installs OpenCV 2.4.5, which may have an opencv/gstreamer
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[issue](https://github.com/opencv/opencv/issues/4592).
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```bash
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$ sudo yum install opencv-devel
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```
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Option 2. Build OpenCV from source code.
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Note: You may need to modify [`WORKSPACE`], [`opencv_linux.BUILD`] and
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[`ffmpeg_linux.BUILD`] to point MediaPipe to your own OpenCV and FFmpeg
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libraries. For example if OpenCV and FFmpeg are both manually installed in
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"/usr/local/", you will need to update: (1) the "linux_opencv" and
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"linux_ffmpeg" new_local_repository rules in [`WORKSPACE`], (2) the "opencv"
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cc_library rule in [`opencv_linux.BUILD`], and (3) the "libffmpeg"
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cc_library rule in [`ffmpeg_linux.BUILD`]. These 3 changes are shown below:
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```bash
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new_local_repository(
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name = "linux_opencv",
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build_file = "@//third_party:opencv_linux.BUILD",
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path = "/usr/local",
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)
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new_local_repository(
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name = "linux_ffmpeg",
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build_file = "@//third_party:ffmpeg_linux.BUILD",
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path = "/usr/local",
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)
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cc_library(
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name = "opencv",
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srcs = glob(
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[
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"lib/libopencv_core.so",
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"lib/libopencv_highgui.so",
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"lib/libopencv_imgcodecs.so",
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"lib/libopencv_imgproc.so",
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"lib/libopencv_video.so",
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"lib/libopencv_videoio.so",
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],
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),
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hdrs = glob([
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# For OpenCV 3.x
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"include/opencv2/**/*.h*",
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# For OpenCV 4.x
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# "include/opencv4/opencv2/**/*.h*",
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]),
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includes = [
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# For OpenCV 3.x
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"include/",
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# For OpenCV 4.x
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# "include/opencv4/",
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],
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linkstatic = 1,
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visibility = ["//visibility:public"],
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)
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cc_library(
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name = "libffmpeg",
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srcs = glob(
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[
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"lib/libav*.so",
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],
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),
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hdrs = glob(["include/libav*/*.h"]),
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includes = ["include"],
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linkopts = [
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"-lavcodec",
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"-lavformat",
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"-lavutil",
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],
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linkstatic = 1,
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visibility = ["//visibility:public"],
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)
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```
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4. Run the [Hello World desktop example](./hello_world_desktop.md).
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```bash
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$ export GLOG_logtostderr=1
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# Need bazel flag 'MEDIAPIPE_DISABLE_GPU=1' if you are running on Linux desktop with CPU only
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$ bazel run --define MEDIAPIPE_DISABLE_GPU=1 \
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mediapipe/examples/desktop/hello_world:hello_world
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# Should print:
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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# Hello World!
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```
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If you run into a build error, please read
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[Troubleshooting](./troubleshooting.md) to find the solutions of several common
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build issues.
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## Installing on macOS
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1. Prework:
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* Install [Homebrew](https://brew.sh).
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* Install [Xcode](https://developer.apple.com/xcode/) and its Command Line
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Tools by `xcode-select --install`.
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2. Checkout MediaPipe repository.
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```bash
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$ git clone https://github.com/google/mediapipe.git
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$ cd mediapipe
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```
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3. Install Bazel.
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Option 1. Use package manager tool to install Bazel
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```bash
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$ brew install bazel
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# Run 'bazel version' to check version of bazel
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```
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Option 2. Follow the official
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[Bazel documentation](https://docs.bazel.build/versions/master/install-os-x.html#install-with-installer-mac-os-x)
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to install Bazel 2.0 or higher.
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4. Install OpenCV and FFmpeg.
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Option 1. Use HomeBrew package manager tool to install the pre-compiled
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OpenCV 3.4.5 libraries. FFmpeg will be installed via OpenCV.
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```bash
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$ brew install opencv@3
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# There is a known issue caused by the glog dependency. Uninstall glog.
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$ brew uninstall --ignore-dependencies glog
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```
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Option 2. Use MacPorts package manager tool to install the OpenCV libraries.
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```bash
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$ port install opencv
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```
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Note: when using MacPorts, please edit the [`WORKSPACE`],
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[`opencv_macos.BUILD`], and [`ffmpeg_macos.BUILD`] files like the following:
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```bash
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new_local_repository(
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name = "macos_opencv",
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build_file = "@//third_party:opencv_macos.BUILD",
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path = "/opt",
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)
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new_local_repository(
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name = "macos_ffmpeg",
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build_file = "@//third_party:ffmpeg_macos.BUILD",
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path = "/opt",
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)
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cc_library(
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name = "opencv",
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srcs = glob(
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[
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"local/lib/libopencv_core.dylib",
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"local/lib/libopencv_highgui.dylib",
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"local/lib/libopencv_imgcodecs.dylib",
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"local/lib/libopencv_imgproc.dylib",
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"local/lib/libopencv_video.dylib",
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"local/lib/libopencv_videoio.dylib",
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],
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),
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hdrs = glob(["local/include/opencv2/**/*.h*"]),
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includes = ["local/include/"],
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linkstatic = 1,
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visibility = ["//visibility:public"],
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)
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cc_library(
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name = "libffmpeg",
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srcs = glob(
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[
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"local/lib/libav*.dylib",
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],
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),
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hdrs = glob(["local/include/libav*/*.h"]),
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includes = ["local/include/"],
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linkopts = [
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"-lavcodec",
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"-lavformat",
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"-lavutil",
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],
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linkstatic = 1,
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visibility = ["//visibility:public"],
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)
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```
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5. Make sure that Python 3 and the Python "six" library are installed.
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```
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$ brew install python
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$ sudo ln -s -f /usr/local/bin/python3.7 /usr/local/bin/python
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$ python --version
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Python 3.7.4
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$ pip3 install --user six
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```
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6. Run the [Hello World desktop example](./hello_world_desktop.md).
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|
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```bash
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$ export GLOG_logtostderr=1
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# Need bazel flag 'MEDIAPIPE_DISABLE_GPU=1' as desktop GPU is currently not supported
|
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$ bazel run --define MEDIAPIPE_DISABLE_GPU=1 \
|
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mediapipe/examples/desktop/hello_world:hello_world
|
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|
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# Should print:
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# Hello World!
|
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# Hello World!
|
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# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
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# Hello World!
|
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# Hello World!
|
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```
|
||
|
||
If you run into a build error, please read
|
||
[Troubleshooting](./troubleshooting.md) to find the solutions of several common
|
||
build issues.
|
||
|
||
## Installing on Windows
|
||
|
||
**Disclaimer**: Running MediaPipe on Windows is experimental.
|
||
|
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Note: building MediaPipe Android apps is still not possible on native
|
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Windows. Please do this in WSL instead and see the WSL setup instruction in the
|
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next section.
|
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|
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1. Install [MSYS2](https://www.msys2.org/) and edit the `%PATH%` environment
|
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variable.
|
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If MSYS2 is installed to `C:\msys64`, add `C:\msys64\usr\bin` to your
|
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`%PATH%` environment variable.
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|
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2. Install necessary packages.
|
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|
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```
|
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C:\> pacman -S git patch unzip
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```
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3. Install Python and allow the executable to edit the `%PATH%` environment
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variable.
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Download Python Windows executable from
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https://www.python.org/downloads/windows/ and install.
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4. Install Visual C++ Build Tools 2019 and WinSDK
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Go to https://visualstudio.microsoft.com/visual-cpp-build-tools, download
|
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build tools, and install Microsoft Visual C++ 2019 Redistributable and
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Microsoft Build Tools 2019.
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Download the WinSDK from
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https://developer.microsoft.com/en-us/windows/downloads/windows-10-sdk/ and
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install.
|
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|
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5. Install Bazel and add the location of the Bazel executable to the `%PATH%`
|
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environment variable.
|
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|
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Follow the official
|
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[Bazel documentation](https://docs.bazel.build/versions/master/install-windows.html)
|
||
to install Bazel 2.0 or higher.
|
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|
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6. Set Bazel variables.
|
||
|
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```
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# Find the exact paths and version numbers from your local version.
|
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C:\> set BAZEL_VS=C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools
|
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C:\> set BAZEL_VC=C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC
|
||
C:\> set BAZEL_VC_FULL_VERSION=14.25.28610
|
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C:\> set BAZEL_WINSDK_FULL_VERSION=10.1.18362.1
|
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```
|
||
|
||
7. Checkout MediaPipe repository.
|
||
|
||
```
|
||
C:\Users\Username\mediapipe_repo> git clone https://github.com/google/mediapipe.git
|
||
|
||
# Change directory into MediaPipe root directory
|
||
C:\Users\Username\mediapipe_repo> cd mediapipe
|
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```
|
||
|
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8. Install OpenCV.
|
||
|
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Download the Windows executable from https://opencv.org/releases/ and
|
||
install. We currently use OpenCV 3.4.10. Remember to edit the [`WORKSPACE`]
|
||
file if OpenCV is not installed at `C:\opencv`.
|
||
|
||
```
|
||
new_local_repository(
|
||
name = "windows_opencv",
|
||
build_file = "@//third_party:opencv_windows.BUILD",
|
||
path = "C:\\<path to opencv>\\build",
|
||
)
|
||
```
|
||
|
||
9. Run the [Hello World desktop example](./hello_world_desktop.md).
|
||
|
||
Note: For building MediaPipe on Windows, please add `--action_env
|
||
PYTHON_BIN_PATH="C://path//to//python.exe"` to the build command.
|
||
Alternatively, you can follow
|
||
[issue 724](https://github.com/google/mediapipe/issues/724) to fix the
|
||
python configuration manually.
|
||
|
||
```
|
||
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!
|
||
|
||
```
|
||
|
||
If you run into a build error, please read
|
||
[Troubleshooting](./troubleshooting.md) to find the solutions of several common
|
||
build issues.
|
||
|
||
## Installing on Windows Subsystem for Linux (WSL)
|
||
|
||
Note: The pre-built OpenCV packages don't support cameras in WSL. Unless you
|
||
[compile](https://funvision.blogspot.com/2019/12/opencv-web-camera-and-video-streams-in.html)
|
||
OpenCV with FFMPEG and GStreamer in WSL, the live demos won't work with any
|
||
cameras. Alternatively, you use a video file as input.
|
||
|
||
1. Follow the
|
||
[instruction](https://docs.microsoft.com/en-us/windows/wsl/install-win10) to
|
||
install Windows Sysystem for Linux (Ubuntu).
|
||
|
||
2. Install Windows ADB and start the ADB server in Windows.
|
||
|
||
Note: Windows' and WSL’s adb versions must be the same version, e.g., if WSL
|
||
has ADB 1.0.39, you need to download the corresponding Windows ADB from
|
||
[here](https://dl.google.com/android/repository/platform-tools_r26.0.1-windows.zip).
|
||
|
||
3. Launch WSL.
|
||
|
||
Note: All the following steps will be executed in WSL. The Windows directory
|
||
of the Linux Subsystem can be found in
|
||
C:\Users\YourUsername\AppData\Local\Packages\CanonicalGroupLimited.UbuntuonWindows_SomeID\LocalState\rootfs\home
|
||
|
||
4. Install the needed packages.
|
||
|
||
```bash
|
||
username@DESKTOP-TMVLBJ1:~$ sudo apt-get update && sudo apt-get install -y build-essential git python zip adb openjdk-8-jdk
|
||
```
|
||
|
||
5. Install Bazel.
|
||
|
||
```bash
|
||
username@DESKTOP-TMVLBJ1:~$ curl -sLO --retry 5 --retry-max-time 10 \
|
||
https://storage.googleapis.com/bazel/3.0.0/release/bazel-3.0.0-installer-linux-x86_64.sh && \
|
||
sudo mkdir -p /usr/local/bazel/3.0.0 && \
|
||
chmod 755 bazel-3.0.0-installer-linux-x86_64.sh && \
|
||
sudo ./bazel-3.0.0-installer-linux-x86_64.sh --prefix=/usr/local/bazel/3.0.0 && \
|
||
source /usr/local/bazel/3.0.0/lib/bazel/bin/bazel-complete.bash
|
||
|
||
username@DESKTOP-TMVLBJ1:~$ /usr/local/bazel/3.0.0/lib/bazel/bin/bazel version && \
|
||
alias bazel='/usr/local/bazel/3.0.0/lib/bazel/bin/bazel'
|
||
```
|
||
|
||
6. Checkout MediaPipe repository.
|
||
|
||
```bash
|
||
username@DESKTOP-TMVLBJ1:~$ git clone https://github.com/google/mediapipe.git
|
||
|
||
username@DESKTOP-TMVLBJ1:~$ cd mediapipe
|
||
```
|
||
|
||
7. Install OpenCV and FFmpeg.
|
||
|
||
Option 1. Use package manager tool to install the pre-compiled OpenCV
|
||
libraries. FFmpeg will be installed via libopencv-video-dev.
|
||
|
||
```bash
|
||
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
|
||
```
|
||
|
||
Option 2. Run [`setup_opencv.sh`] to automatically build OpenCV from source
|
||
and modify MediaPipe's OpenCV config.
|
||
|
||
Option 3. Follow OpenCV's
|
||
[documentation](https://docs.opencv.org/3.4.6/d7/d9f/tutorial_linux_install.html)
|
||
to manually build OpenCV from source code.
|
||
|
||
Note: You may need to modify [`WORKSPACE`] and [`opencv_linux.BUILD`] to
|
||
point MediaPipe to your own OpenCV libraries, e.g., if OpenCV 4 is installed
|
||
in "/usr/local/", you need to update the "linux_opencv" new_local_repository
|
||
rule in [`WORKSPACE`] and "opencv" cc_library rule in [`opencv_linux.BUILD`]
|
||
like the following:
|
||
|
||
```bash
|
||
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"],
|
||
)
|
||
```
|
||
|
||
8. Run the [Hello World desktop example](./hello_world_desktop.md).
|
||
|
||
```bash
|
||
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!
|
||
```
|
||
|
||
If you run into a build error, please
|
||
read [Troubleshooting](./troubleshooting.md) to find the solutions of several
|
||
common build issues.
|
||
|
||
## Installing using Docker
|
||
|
||
This will use a Docker image that will isolate mediapipe's installation from the rest of the system.
|
||
|
||
1. [Install Docker](https://docs.docker.com/install/#supported-platforms) on
|
||
your host system.
|
||
|
||
2. Build a docker image with tag "mediapipe".
|
||
|
||
```bash
|
||
$ git clone 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 . /mediapipe/
|
||
# ---> a95c212089c5
|
||
# Successfully built a95c212089c5
|
||
# Successfully tagged mediapipe:latest
|
||
```
|
||
|
||
3. Run the [Hello World desktop example](./hello_world_desktop.md).
|
||
|
||
```bash
|
||
$ 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:hello_world
|
||
|
||
# Should print:
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
# Hello World!
|
||
```
|
||
|
||
If you run into a build error, please
|
||
read [Troubleshooting](./troubleshooting.md) to find the solutions of several
|
||
common build issues.
|
||
|
||
4. Build a MediaPipe Android example.
|
||
|
||
```bash
|
||
$ 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-r18b
|
||
# 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
|
||
```
|
||
|
||
<!-- 5. Uncomment the last line of the Dockerfile
|
||
|
||
```bash
|
||
RUN bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/demo:object_detection_tensorflow_demo
|
||
```
|
||
|
||
and rebuild the image and then run the docker image
|
||
|
||
```bash
|
||
docker build --tag=mediapipe .
|
||
docker run -i -t mediapipe:latest
|
||
``` -->
|
||
|
||
[`WORKSPACE`]: https://github.com/google/mediapipe/blob/master/WORKSPACE
|
||
[`opencv_linux.BUILD`]: https://github.com/google/mediapipe/tree/master/third_party/opencv_linux.BUILD
|
||
[`ffmpeg_linux.BUILD`]:https://github.com/google/mediapipe/tree/master/third_party/ffmpeg_linux.BUILD
|
||
[`opencv_macos.BUILD`]: https://github.com/google/mediapipe/tree/master/third_party/opencv_macos.BUILD
|
||
[`ffmpeg_macos.BUILD`]:https://github.com/google/mediapipe/tree/master/third_party/ffmpeg_macos.BUILD
|
||
[`setup_opencv.sh`]: https://github.com/google/mediapipe/blob/master/setup_opencv.sh
|