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rtsp-simple-server

Build Status Go Report Card Docker Hub

rtsp-simple-server is a simple, ready-to-use and zero-dependency RTSP server and RTSP proxy, a software that allows multiple users to publish and read live video and audio streams over time. RTSP is a standard protocol that describes how to perform these operations with the help of a server, that is contacted by both readers and publishers in order to negotiate a streaming method, then relays the publisher streams to the readers.

Features:

  • Read and publish live streams with UDP and TCP
  • Each stream can have multiple video and audio tracks, encoded with any codec (including H264, H265, VP8, VP9, MP3, AAC, Opus, PCM)
  • Publish multiple streams at once, each in a separate path, that can be read by multiple users
  • Pull and serve streams from other RTSP or RTMP servers, always or on-demand (RTSP proxy)
  • Provide separate authentication for reading and publishing
  • Run custom commands when clients connect, disconnect, read or publish streams
  • Compatible with Linux, Windows and Mac, does not require any dependency or interpreter, it's a single executable

Installation and basic usage

  1. Download and extract a precompiled binary from the release page.

  2. Start the server:

    ./rtsp-simple-server
    
  3. Publish a stream. For instance, you can publish a video file with FFmpeg:

    ffmpeg -re -stream_loop -1 -i file.ts -c copy -f rtsp rtsp://localhost:8554/mystream
    

    or GStreamer:

    gst-launch-1.0 filesrc location=file.mp4 ! qtdemux ! rtspclientsink location=rtsp://localhost:8554/mystream
    
  4. Open the stream. For instance, you can open the stream with VLC:

    vlc rtsp://localhost:8554/mystream
    

    or GStreamer:

    gst-launch-1.0 rtspsrc location=rtsp://localhost:8554/mystream ! rtph264depay ! decodebin ! autovideosink
    

    or FFmpeg:

    ffmpeg -i rtsp://localhost:8554/mystream -c copy output.mp4
    

Advanced usage and FAQs

Usage with Docker

Download and launch the image:

docker run --rm -it --network=host aler9/rtsp-simple-server

The --network=host argument is mandatory since Docker can change the source port of UDP packets for routing reasons, and this makes RTSP routing impossible. This option can be avoided by disabling UDP and exposing the RTSP port:

docker run --rm -it -e RTSP_PROTOCOLS=tcp -p 8554:8554 aler9/rtsp-simple-server

Configuration

To see or change the configuration, edit the rtsp-simple-server.yml file, that is:

  • included the release bundle
  • available in the root folder of the Docker image (/rtsp-simple-server.yml)
  • also available here.

Every configuration parameter can be overridden by environment variables, in the format RTSP_PARAMNAME, where PARAMNAME is the uppercase name of a parameter. For instance, the rtspPort parameter can be overridden in the following way:

RTSP_RTSPPORT=8555 ./rtsp-simple-server

Parameters in maps can be overridden by using underscores, in the following way:

RTSP_PATHS_TEST_SOURCE=rtsp://myurl ./rtsp-simple-server

The configuration can be changed dinamically when the server is running (hot reloading) by editing the configuration file: changes are detected and written over the previous configuration, clients are disconnected only if necessary.

RTSP proxy mode

rtsp-simple-server is also an RTSP proxy, that is usually deployed in one of these scenarios:

  • when there are multiple users that are receiving a stream and the bandwidth is limited; the proxy is used to receive the stream once. Users can then connect to the proxy instead of the original source.
  • when there's a NAT / firewall between a stream and the users; the proxy is installed on the NAT and makes the stream available to the outside world.

Edit rtsp-simple-server.yml and replace everything inside section paths with the following content:

paths:
  proxied:
    # url of the source stream, in the format rtsp://user:pass@host:port/path
    source: rtsp://original-url

After starting the server, users can connect to rtsp://localhost:8554/proxied, instead of connecting to the original url. The server supports any number of source streams, it's enough to add additional entries to the paths section.

Serve a webcam

Edit rtsp-simple-server.yml and replace everything inside section paths with the following content:

paths:
  cam:
    runOnInit: ffmpeg -f v4l2 -i /dev/video0 -f rtsp rtsp://localhost:8554/$RTSP_SERVER_PATH

After starting the server, the webcam is available on rtsp://localhost:8554/cam. The ffmpeg command works only on Linux; for Windows and Mac equivalents, read the ffmpeg wiki.

Serve a Raspberry Pi Camera

Install dependencies:

  1. Gstreamer

    sudo apt install -y gstreamer1.0-tools gstreamer1.0-rtsp
    
  2. gst-rpicamsrc, by following instruction here

Then edit rtsp-simple-server.yml and replace everything inside section paths with the following content:

paths:
  cam:
    runOnInit: gst-launch-1.0 rpicamsrc preview=false bitrate=2000000 keyframe-interval=50 ! video/x-h264,width=1920,height=1080,framerate=25/1 ! rtspclientsink location=rtsp://localhost:8554/$RTSP_SERVER_PATH

After starting the server, the webcam is available on rtsp://localhost:8554/cam.

On-demand publishing

Edit rtsp-simple-server.yml and replace everything inside section paths with the following content:

paths:
  ondemand:
    runOnDemand: ffmpeg -re -stream_loop -1 -i file.ts -c copy -f rtsp rtsp://localhost:8554/$RTSP_SERVER_PATH

The command inserted into runOnDemand will start only when a client requests the path ondemand, therefore the file will start streaming only when requested.

Remuxing, re-encoding, compression

To change the format, codec or compression of a stream, you can use FFmpeg or Gstreamer together with rtsp-simple-server. For instance, to re-encode an existing stream, that is available in the /original path, and publish the resulting stream in the /compressed path, edit rtsp-simple-server.yml and replace everything inside section paths with the following content:

paths:
  all:
  original:
    runOnPublish: ffmpeg -i rtsp://localhost:8554/$RTSP_SERVER_PATH -b:a 64k -c:v libx264 -preset ultrafast -b:v 500k -max_muxing_queue_size 1024 -f rtsp rtsp://localhost:8554/compressed

Authentication

Edit rtsp-simple-server.yml and replace everything inside section paths with the following content:

paths:
  all:
    publishUser: admin
    publishPass: mypassword

Only publishers that provide both username and password will be able to proceed:

ffmpeg -re -stream_loop -1 -i file.ts -c copy -f rtsp rtsp://admin:mypassword@localhost:8554/mystream

It's possible to setup authentication for readers too:

paths:
  all:
    publishUser: admin
    publishPass: mypassword

    readUser: user
    readPass: userpassword

WARNING: RTSP is a plain protocol, and the credentials can be intercepted and read by malicious users (even if hashed, since the only supported hash method is md5, which is broken). If you need a secure channel, use RTSP inside a VPN.

Start on boot with systemd

Systemd is the service manager used by Ubuntu, Debian and many other Linux distributions, and allows to launch rtsp-simple-server on boot.

Download a release bundle from the release page, and put:

  • rtsp-simple-server in /usr/local/bin
  • rtsp-simple-server.yml in /usr/local/etc

Create a file /etc/systemd/system/rtsp-simple-server.service with the following content:

[Unit]
After=network.target
[Service]
ExecStart=/usr/local/bin/rtsp-simple-server /usr/local/etc/rtsp-simple-server.yml
[Install]
WantedBy=multi-user.target

Enable and start the service with:

systemctl enable rtsp-simple-server
systemctl start rtsp-simple-server

Monitoring

There are multiple ways to monitor the server usage over time:

  • The current number of clients, publishers and readers is printed in each log line; for instance, the line:

    2020/01/01 00:00:00 [2/1/1] [client 127.0.0.1:44428] OPTION
    

    means that there are 2 clients, 1 publisher and 1 reader.

  • A metrics exporter, compatible with Prometheus, can be enabled with the option metrics: yes; then the server can be queried for metrics with Prometheus or with a simple HTTP request:

    wget -qO- localhost:9998
    

    Obtaining:

    rtsp_clients{state="idle"} 2 1596122687740
    rtsp_clients{state="publishing"} 15 1596122687740
    rtsp_clients{state="reading"} 8 1596122687740
    rtsp_sources{type="rtsp",state="idle"} 3 1596122687740
    rtsp_sources{type="rtsp",state="running"} 2 1596122687740
    rtsp_sources{type="rtmp",state="idle"} 1 1596122687740
    rtsp_sources{type="rtmp",state="running"} 0 1596122687740
    

    where:

    • rtsp_clients{state="idle"} is the count of clients that are neither publishing nor reading
    • rtsp_clients{state="publishing"} is the count of clients that are publishing
    • rtsp_clients{state="reading"} is the count of clients that are reading
    • rtsp_sources{type="rtsp",state="idle"} is the count of rtsp sources that are not running
    • rtsp_sources{type="rtsp",state="running"} is the count of rtsp sources that are running
    • rtsp_sources{type="rtmp",state="idle"} is the count of rtmp sources that are not running
    • rtsp_sources{type="rtmp",state="running"} is the count of rtmp sources that are running
  • A performance monitor, compatible with pprof, can be enabled with the option pprof: yes; then the server can be queried for metrics with pprof-compatible tools, like:

    docker run --rm -it --network=host golang:1.14 go tool pprof -text http://localhost:9999/debug/pprof/goroutine
    docker run --rm -it --network=host golang:1.14 go tool pprof -text http://localhost:9999/debug/pprof/heap
    docker run --rm -it --network=host golang:1.14 go tool pprof -text http://localhost:9999/debug/pprof/profile?seconds=30
    

Full command-line usage

usage: rtsp-simple-server [<flags>]

rtsp-simple-server v0.0.0

RTSP server.

Flags:
  --help     Show context-sensitive help (also try --help-long and --help-man).
  --version  print version

Args:
  [<confpath>]  path to a config file. The default is rtsp-simple-server.yml.

Compile and run from source

Install Go ≥ 1.14, download the repository, open a terminal in it and run:

go run .

You can perform the entire operation inside Docker with:

make run

Related projects

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