I’m configuring pipeline for jpeg images’ DeepStream classification. I use Yolo Version 3 model (converted to TensorRT engine for better performance, of course) from DeepStream SDK example and want to classify objects from jpeg file to text output (and save original jpeg file, not jpeg with shapes and labels). Below is my code for gst-launch-1.0:
gst-launch-1.0 giosrc location=http://server-name/image.jpg ! tee name=t ! queue ! filesink location=~/test/`date +%F-%H-%M-%S`.jpg t. ! nvinfer config-file-path=./config_infer_primary_yoloV3.txt batch-size=1 ! nvmsgbroker
Which arguments are needed for nvmsgbroker for redirect json output to console? And is it really possible?