This guide will cover building and deploying the native plugin com.unity.webrtc
depends on.
Install dependencies to make development environment.
On windows, first, you need to install Visual Studio 2022. The build process use the clang compiler. To install clang, see MSDN. And chocolatey is used to install.
# Install CUDA
choco install cuda --version=11.0.3
# Install Windows SDK
# WARNING: If you have versions of Windows SDK earlier than Version 22H2,
# compiling the plugin will fail. Make sure to uninstall earlier versions.
choco install -y vcredist2010 vcredist2013 vcredist140 windows-sdk-11-version-22h2-all
# Install Vulkan
choco install vulkan-sdk --version=1.2.182.0
# Install CMake 3.24.3
choco install cmake -y --version=3.24.3
# Install 7zip (used to extract Google's webrtc library after download)
choco install 7zip
# Setting up environment variables
setx CUDA_PATH "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0" /m
setx VULKAN_SDK "C:\VulkanSDK\1.2.182.0" /m
The below commands shows the build process developing environment on Ubuntu 16.04.
# Install clang 11
wget -O - https://apt.llvm.org/llvm-snapshot.gpg.key|sudo apt-key add -
sudo apt-add-repository "deb http://apt.llvm.org/xenial/ llvm-toolchain-xenial-11 main"
sudo apt update
sudo apt install -y clang-11 lld-11
# Install stdlibc++9 for support GLIBCXX_3.4.26
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt update
sudo apt install -y g++-9
sudo ln -sf g++-9 /usr/bin/g++
# Install other packages
sudo apt install -y vulkan-utils libvulkan1 libvulkan-dev libglfw3-dev ninja-build
# Install glad2
sudo pip install git+https://github.com/dav1dde/glad.git@glad2#egg=glad2
# Install CUDA SDK
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-ubuntu1604.pin
sudo mv cuda-ubuntu1604.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/ /"
sudo apt update
sudo apt install -y cuda-toolkit-11-0
# Install CMake 3.22.3
sudo apt install -y libssl-dev
sudo apt purge -y cmake
wget https://github.com/Kitware/CMake/releases/download/v3.24.3/cmake-3.24.3.tar.gz
tar xvf cmake-3.24.3.tar.gz
cd cmake-3.24.3
./bootstrap && make && sudo make install
On macOS, homebrew is used to install CMake. XCode version 11.0.0 or higher is used but Xcode 12 would not work well.
# Install CMake
brew install cmake
On macOS, homebrew is used to install CMake. XCode version 11.0.0 or higher is used but Xcode 12 would not work well.
On Ubuntu (WSL2 on Windows is also working well),
# Download Android NDK r21b
wget https://dl.google.com/android/repository/android-ndk-r21b-linux-x86_64.zip
# Unzip the downloaded NDK file to home directory
unzip android-ndk-r21b-linux-x86_64.zip -d ~/
# Set Android NDK root path to `ANDROID_NDK` environment variable
echo "export ANDROID_NDK=~/android-ndk-r21b/" >> ~/.profile
# Install CMake 3.24.3
sudo apt install -y libssl-dev
sudo apt purge -y cmake
wget https://github.com/Kitware/CMake/releases/download/v3.24.3/cmake-3.24.3.tar.gz
tar xvf cmake-3.24.3.tar.gz
cd cmake-3.24.3
./bootstrap && make && sudo make install
# Install pkg-config, zip
sudo apt install -y pkg-config zip
To build plugin, you need to execute command in the BuildScripts~
folder.
- BuildScripts~/build_plugin_android.sh
- BuildScripts~/build_plugin_mac.sh
- BuildScripts~/build_plugin_ios.sh
- BuildScripts~/build_plugin_linux.sh
- BuildScripts~/build_plugin_win.cmd
- Note: If you encounter
LNK1120
,LNK2001
orLNK2019
errors while running this build script, it's possible that you may need to openPlugin~/build64/webrtc.sln
and build from within Visual Studio 2019 instead. You can also use it for development. (#441)
- Note: If you encounter
Alternatively, after the script has been run, a project ready for your IDE or other build tools is ready for you to use/build with (the name of the folder differs based on the target platform, check the script for more details).
When you run the build, webrtc.dll
will be placed in Packages\com.unity.webrtc\Runtime\Plugins\x86_64
. You should then be able to verify the following settings in the Unity Inspector window.
WARNING: If "Load on startup" is not ticked, your editor will crash when running your project. This may become unticked after you make a change to the plugin. (#444)
The WebRTC
project properties must be adjusted to match your environment in order to build the plugin.
Set the Unity.exe path under Command
and the project path under Command Arguments
. Once set, during debugging the Unity Editor will run and breakpoints will be enabled.