Live Profiler for Gstreamer

Real-time profiler plugin for Gstreamer

Open Source License

• GstShark

https://github.com/RidgeRun/gst-shark

• For further information, visit GstShark wiki

https://developer.ridgerun.com/wiki/index.php?title=GstShark

• plotly (for Log Visualizer)

https://plotly.com/

How To Install

• On Ubuntu x64

$ sudo apt install gtk-doc-tools libgraphviz-dev libncurses5-dev libncursesw5-dev
$ ./autogen_ubuntux64.sh
$ make
$ sudo make install

For other environment, visit GstShark wiki

For contribution

Since gst-shark have gst-indent, you should run gst-indent before commit

common/gst-indent <file name>

How To Use Live Profiler

Set environment variable as below.

• GST_DEBUG = "GST_TRACER:7"
• GST_TRACERS = "live"

$ GST_DEBUG="GST_TRACER:7" GST_TRACERS="live"\
     gst-launch-1.0 videotestsrc ! videorate max-rate=15 ! fakesink

Log Visualizer

Requirement

• python 3.x
• plotly
• numpy

Usage

If you want to record log, add LOG_ENABLED environment like below

$ GST_DEBUG="GST_TRACER:7" GST_TRACERS="live" LOG_ENABLED=TRUE\
     gst-launch-1.0 videotestsrc ! videorate max-rate=15 ! fakesink

You should know directory which have log (default path is /nnstreamer/bin/gstshark_<timestamp>)

python3 scripts/graphics/log_visualizer.py --dir=<log directory>

It will open 3 browsers.

Description

Each browser have Two graph and below one is Buffer Timeline graph. User can see which buffers each pad is handling at a specific time.

(1) CPU Usage

User can check CPU usage over time.

(2) Processing time

User can check processing time for each element.

(3) Buffer rate

User can check buffer rate for each pad