AW: Decoupling branches

[Thornton, Keith]

Hi,
You might like to try setting a pad probe on the queue's src pad and then dropping two frames for each frame that you pass.

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Von: gstreamer-devel <gstreamer-devel-bounces at lists.freedesktop.org> Im Auftrag von c_mac
Gesendet: Mittwoch, 28. August 2019 21:29
An: gstreamer-devel at lists.freedesktop.org
Betreff: Decoupling branches

I'm a gstreamer newbie. I'm working on doing real time object detection inference on a video stream. My GPU is not powerful enough to process every frame in real time (30 fps), so I am wondering if it would be possible to only send every 3rd frame down the inference branch after the tee and then perhaps introduce some sort of delay in displaying the detection overlay.
I'm using GstInference ( https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FRidgeRun%2Fgst-inference&data=02%7C01%7C%7C625defebca4e494494e108d72f7d0fa1%7C28042244bb514cd680347776fa3703e8%7C1%7C0%7C637030086482442892&sdata=JIMbb0JwvrMvJqJG4Id1DI5eqsUXzMnJFp2TcKZaU%2FU%3D&reserved=0
)- currently reading in from a file because the rest of the video pipeline is still in development. Would like to read from the file at 30 fps but process the frames at 10 fps and only display the overlay on every third frame. Here is my current pipeline: 

gst-launch-1.0 filesrc location=$VIDEO_FILE ! decodebin ! videoconvert ! tee name=t \ t. ! queue ! videoscale ! net.sink_model \ t. ! queue ! net.sink_bypass tinyyolov3 name=net model-location=$MODEL_LOCATION backend=tensorflow backend::input-layer=$INPUT_LAYER backend::output-layer=$OUTPUT_LAYER \ net.src_bypass ! detectionoverlay labels="$(cat $LABELS)" font-scale=2
thickness=2 ! videoconvert ! xvimagesink sync=false 

Is this possible? Any help or alternative approaches would be much appreciated. Right now the entire video rendering is slowed down to the speed of the inference. 



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