Overview

This project uses obs-studio to switch input streams in the backend. Use obs-node as the node wrapper of obs-studio.

Run locally

npm run build && npm start

Run in docker

1. Create config.json

   wget https://raw.githubusercontent.com/MengLi619/obs-headless-node/master/src/resource/config.json

2. Edit config.json with real environment
3. Run in docker

   docker run \
     --name obs-headless-node \
     -d \
     --rm \ 
     -p 8080:8080 \
     -v "$(pwd)/config.json":/node-app/dist/resource/config.json \
     registry.cn-beijing.aliyuncs.com/mengli/obs-headless-node:latest

Hardware (Nvidia GPU) accelerate installation

Note: We only test the GPU version in ubuntu 20.04 and cuda 11.1, and only one GPU in one machine. Other environment should also work with some small change, but we never test it.

1. Install cuda driver
   https://developer.nvidia.com/cuda-downloads
2. Install docker
   https://docs.docker.com/engine/install/ubuntu
3. Install nvidia-docker2

   distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
   curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
   curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
   sudo apt-get update    
   sudo apt-get install -y nvidia-docker2
   sudo systemctl restart docker

4. Install xorg service, which will run the Xorg from host to support GPU accessibility.

   wget https://raw.githubusercontent.com/MengLi619/obs-headless-node/master/install-xorg-service.sh
   bash install-xorg-service.sh

5. Run docker with nvidia runtime

   docker run -it \
       --name obs-headless-node \
       --privileged \
       --runtime nvidia \
       --rm \
       -p 8080:8080 \
       -e DISPLAY=:99 \
       -v /tmp/.X11-unix:/tmp/.X11-unix \
       -v "$(pwd)/config.json":/node-app/dist/resource/config.json \
       registry.cn-beijing.aliyuncs.com/mengli/obs-headless-node:latest-gpu