**• Hardware Platform: ** GPU
• DeepStream Version: 5
• TensorRT Version: 7
• NVIDIA GPU Driver Version (valid for GPU only) 450
• Issue Type( questions, new requirements, bugs) questions
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description) Deepstream Python
Hello, I’m a couple weeks new to Deepstream SDK. My app receives multiple RTSP streams and saves some cutout images using OpenCV with the osd probe.
It is based on the Python Sample: apps/deepstream-imagedata-multistream
However, I would like to combine it with apps/deepstream-test1-rtsp-out sample in order to get a RTSP output for every RTSP input received (and processed). I just can’t manage to make it work because RTSP out sample is made for only 1 input. So, my question is:
Is this possible? To batch frames from multiple streams, infer on them, and then send the frames through different RTSP streams?
I thought maybe udp sinks for every stream but I can’t find anything useful
Here’s my pipeline links:
streammux.link(pgie)
pgie.link(tracker)
tracker.link(nvvidconv1)
nvvidconv1.link(filter1)
filter1.link(nvvidconv)
nvvidconv.link(nv_osd)
nv_osd.link(nvvidconv_post_osd)
nvvidconv_post_osd.link(caps)
caps.link(encoder)
encoder.link(rtp_pay)
rtp_pay.link(udpsink)
Thanks a lot in advance.