• Hardware Platform (Jetson / GPU) Jetson Orin AGX
• DeepStream Version 6.2
• JetPack Version (valid for Jetson only) 5.1.1
• TensorRT Version 8.5.2
• Issue Type( questions, new requirements, bugs) Questions
When monitoring system resources on the Orin I found that the following pipeline is only using 15-30% of the GPU with very low fps (around 2-4 fps).
It is using the same model and configuration found in the deepstream/sources/sample_apps/deepstream-segmentation-test/dstest_segmentation_config_semantic.txt file.
I am not sure what settings should be tweaked to improve fps. I am ok with reduced model accuracy. I tried changing the engine from fp32 to int8 with no improvement in performance. I have the power mode on MAXN as well.
Here is my pipeline:
gst-launch-1.0 v4l2src device=/dev/video0 ! nvvideoconvert ! 'video/x-raw(memory:NVMM), format=NV12' ! \ mx.sink_0 nvstreammux batch-size=1 live-source=1 batched-push-timeout=80000 width=1920 height=1080 \ nvbuf-memory-type=0 name=mx ! queue ! tee name=t ! nvvideoconvert ! comp.sink_1 \ t. ! nvinfer config-file-path=files/configs/semantic_segmentation/primary_gie_config.yml ! nvsegvisual width=1920 \ height=1080 ! nvvideoconvert src-crop=0:0:512:512 ! comp.sink_0 \ compositor name=comp sink_0::zorder=1 sink_0::alpha=0.5 sink_1::zorder=0 ! nvvideoconvert ! queue ! \ nvegltransform ! nveglglessink