Please provide complete information as applicable to your setup.
• Hardware Platform (GPU)
• DeepStream Version: 6.0
• TensorRT Version 8.0.1
• NVIDIA GPU Driver Version (valid for GPU only): Driver Version: 470.103.01
• Issue Type( questions, new requirements, bugs): questions
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
I have used the same below gst pipeline to test on differece machine.
! nvinfer config-file-path="./config_engine.txt" ! nvvideoconvert ! nvdsosd \ ! nvvideoconvert ! videoconvert ! jpegenc ! jpegparse ! multifilesink location="$(basename $filename)"
And the other application read image and parse data into TensorRT engine inference.
The application always have the same results on difference machines T4, GTX 1080 and 3060
But with above gst pipeline. I got the difference result of the difference machine. The first time I think it was about architechture of hardware will affect to output but the application.
Could anyone help me suggest what will be consider the reason cause difference output from the gst deepstream pipeline?