Please install rtspserver and try again.
sudo apt-get install libgstrtspserver-1.0
I just want to hook into this conversation and ask what kind of FPS you are getting with deepstream-yolo-app for yolov3 (full, non-tiny). I’ve also tried the GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) darknet fork which has support for Tensor Cores and Cuda Cores.
On the Jetson Xavier i’m able to get about 20FPS using AlexeyAB’s Darknet. The deepstream-yolo-app seems much slower (i’m using the same file, 720p deepstream sample stream). But I don’t know how to accurately measure it.
Because the deepstream yolo app uses all the Xavier hardware parts and is optimized to not use much CPU i figured i would be getting better results than with AlexeyAB’s code.
Any help figuring the FPS out or optimizing the deepstream app further would be much appreciated!
Hello, I was trying to get the patch working for the yolo plugin. But couldn’t get it to run.
** ERROR: main:565: Failed to set pipeline to PAUSED
Quitting
ERROR from src_bin_muxer: Output width not set
Debug info: gstnvstreammux.c(1616): gst_nvstreammux_change_state (): /GstPipeline:pipeline/GstBin:multi_src_bin/GstNvStreamMux:src_bin_muxer
App run failed
I’ve tried changing the sink to 1 and 2, didn’t work for either case. I’ve ensured the gpu-id =0, still didn’t work. Any help would be greatly appreciated. Thanks.
Here’s the forum question I posted.
Hi, where i can place patch file to run
thanks