LPMS is a media server that can run independently, or on top of the Livepeer network. It allows you to manipulate / broadcast a live video stream. Currently, LPMS supports RTMP as input format and RTMP/HLS as output formats.
LPMS can be integrated into another service, or run as a standalone service. To try LPMS as a standalone service, simply get the package:
go get -d github.com/livepeer/lpms/cmd/example
Go to the lpms root directory at $GOPATH/src/github.com/livepeer/lpms
. If needed, install the required dependencies; see the Requirements section below. Then build the sample app and run it:
go build cmd/example/main.go
./example
LPMS requires libavcodec (ffmpeg) and friends. See install_ffmpeg.sh
. Running this script will install everything in ~/compiled
. In order to build LPMS, the dependent libraries need to be discoverable by pkg-config and golang. If you installed everything with install_ffmpeg.sh
, then run export PKG_CONFIG_PATH=~/compiled/lib/pkgconfig:$PKG_CONFIG_PATH
so the deps are picked up.
Running golang unit tests (test.sh
) requires the ffmpeg
and ffprobe
executables in addition to the libraries. To ensure the executables are available, run export PATH=~/compiled/bin:$PATH
. Additionally it requires ffmpeg to be build with additional codecs and formats enabled. To build ffmpeg
with all codecs and formats enabled, ensure clang
is installed and then run BUILD_TAGS=debug-video ./install_ffmpeg.sh
. However, none of these are run-time requirements; the executables are not used outside of testing, and the libraries are statically linked by default. Note that dynamic linking may substantially speed up rebuilds if doing heavy development.
The test LPMS server exposes a few different endpoints:
rtmp://localhost:1935/stream/test
for uploading/viewing RTMP video stream.http://localhost:7935/stream/test_hls.m3u8
for consuming the HLS video stream.
Do the following steps to view a live stream video:
-
Start LPMS by running
go run cmd/example/main.go
-
Upload an RTMP video stream to
rtmp://localhost:1935/stream/test
. We recommend using ffmpeg or OBS.For ffmpeg on osx, run:
ffmpeg -f avfoundation -framerate 30 -pixel_format uyvy422 -i "0:0" -c:v libx264 -tune zerolatency -b:v 900k -x264-params keyint=60:min-keyint=60 -c:a aac -ac 2 -ar 44100 -f flv rtmp://localhost:1935/stream/test
For OBS, fill in Settings->Stream->URL to be rtmp://localhost:1935
-
If you have successfully uploaded the stream, you should see something like this in the LPMS output
I0324 09:44:14.639405 80673 listener.go:28] RTMP server got upstream I0324 09:44:14.639429 80673 listener.go:42] Got RTMP Stream: test
-
Now you have a RTMP video stream running, we can view it from the server. Simply run
ffplay http://localhost:7935/stream/test.m3u8
, you should see the hls video playback.
LPMS exposes a few different methods for customization. As an example, take a look at cmd/main.go
.
To create a new LPMS server:
// Specify ports you want the server to run on, and the working directory for
// temporary files. See `core/lpms.go` for a full list of LPMSOpts
opts := lpms.LPMSOpts {
RtmpAddr: "127.0.0.1:1935",
HttpAddr: "127.0.0.1:7935",
WorkDir: "/tmp"
}
lpms := lpms.New(&opts)
To handle RTMP publish:
lpms.HandleRTMPPublish(
//getStreamID
func(url *url.URL) (strmID string) {
return getStreamIDFromPath(reqPath)
},
//getStream
func(url *url.URL, rtmpStrm stream.RTMPVideoStream) (err error) {
return nil
},
//finishStream
func(url *url.URL, rtmpStrm stream.RTMPVideoStream) (err error) {
return nil
})
To handle RTMP playback:
lpms.HandleRTMPPlay(
//getStream
func(ctx context.Context, reqPath string, dst av.MuxCloser) error {
glog.Infof("Got req: ", reqPath)
streamID := getStreamIDFromPath(reqPath)
src := streamDB.db[streamID]
if src != nil {
src.ReadRTMPFromStream(ctx, dst)
} else {
glog.Error("Cannot find stream for ", streamID)
return stream.ErrNotFound
}
return nil
})
To handle HLS playback:
lpms.HandleHLSPlay(
//getHLSBuffer
func(reqPath string) (*stream.HLSBuffer, error) {
streamID := getHLSStreamIDFromPath(reqPath)
buffer := bufferDB.db[streamID]
s := streamDB.db[streamID]
if s == nil {
return nil, stream.ErrNotFound
}
if buffer == nil {
//Create the buffer and start copying the stream into the buffer
buffer = stream.NewHLSBuffer()
bufferDB.db[streamID] = buffer
//Subscribe to the stream
sub := stream.NewStreamSubscriber(s)
go sub.StartHLSWorker(context.Background())
err := sub.SubscribeHLS(streamID, buffer)
if err != nil {
return nil, stream.ErrStreamSubscriber
}
}
return buffer, nil
})
Processing on Nvidia GPUs is supported. To enable this capability, FFmpeg needs to be built with GPU support. See the FFmpeg guidelines on this.
To execute the nvidia tests within the ffmpeg
directory, run this command:
go test --tags=nvidia -run Nvidia
To run the tests on a particular GPU, use the GPU_DEVICE environment variable:
# Runs on GPU number 3
GPU_DEVICE=3 go test --tags=nvidia -run Nvidia
Aside from the tests themselves, there is a sample program that can be used as a reference to the LPMS GPU transcoding API. The sample program can select GPU or software processing via CLI flags. Run the sample program via:
# software processing
go run cmd/transcoding/transcoding.go transcoder/test.ts P144p30fps16x9,P240p30fps16x9 sw
# nvidia processing, GPU number 2
go run cmd/transcoding/transcoding.go transcoder/test.ts P144p30fps16x9,P240p30fps16x9 nv 2
To test transcoding of segments failed on production in Nvidia environment:
-
Install Livepeer from sources by following the installation guide
-
Install Google Cloud SDK
-
Make sure you have access to the bucket with the segments
-
Download the segments:
gsutil cp -r gs://livepeer-production-failed-transcodes /home/livepeer-production-failed-transcodes
-
Run the test
cd transcoder FAILCASE_PATH="/home/livepeer-production-failed-transcodes" go test --tags=nvidia -timeout 6h -run TestNvidia_CheckFailCase
-
After the test has finished, it will display transcoding stats. Per-file results are logged to
results.csv
in the same directory
Thank you for your interest in contributing to LPMS!
To get started:
- Read the contribution guide
- Check out the open issues
- Join the #dev channel in the Discord