Carlos Rodriguez

@DeveloperRachit you can find the PyGstc documentation here: https://developer.ridgerun.com/wiki/index.php?title=GStreamer_Daemon_-_Python_Client We released GstD v0.9.0 yesterday, including this feature, so it is pretty new and the documentation is a work in progress....

You can check out the examples in our wiki page: https://developer.ridgerun.com/wiki/index.php?title=GStreamer_Daemon_-_Python_API#Examples

Hi @barisduzenli , Yes, we do have a great wiki page with tons of information and examples from basic to advanced, you can take a look here: https://developer.ridgerun.com/wiki/index.php?title=GStreamer_Daemon

Hi @dsteger, I'm not able to reproduce this issue using TensorFlow backend. Are you using the latest 0.10 release?

[PR to gst-plugins-bad](https://gitlab.freedesktop.org/gstreamer/gst-plugins-bad/-/merge_requests/1526)

Hi @gsrujana / @gsrujana89 , please checkout our new hierarchical meta architecture https://developer.ridgerun.com/wiki/index.php?title=GstInference/Metadatas/GstInferenceMeta. It will allow you to run multiple models simultaneously. You can run a classification based on the...

- [ ] Extend Prediction to multiple prediction outputs - [ ] Declare multiple output layers - [ ] Integration testing to avoid breaking single output use cases

- [x] Design - [x] Extend Loader to accept pre and post binaries (with pre and post dummy)

Hi @blokfyuh, When using Gstinterpipe, both interpipesrc and interpipesink elements must live under the same process. This means that you must use a single gst-launch or a single C/C++/Python application...

Oh yes, that's because the videotestsrc is not a live source, and it is generating video as fast as your PC can, which tends to increase CPU and memory consumption...