Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) Tesla T4
• DeepStream Version 6.2 (docker image)
• TensorRT Version 8.5.2
• NVIDIA GPU Driver Version (valid for GPU only) 525.85.12
Hello, I’m constructing a DeepStream pipeline with the following branches:
branch 1: PeopleNet + NvDCF
branch 2: PeopleNet + NvDCF + blood classifier
branch 3: PeopleNet + NvDCF + Gender classifier
branch 4: PeopleNet + NvDCF + ReID
branch 5: PeopleNet + NvDCF + ink/no ink classifier
Since “PeopleNet” and “NvDCF” are common among all the 5 branches what would be the most optimal pipeline design?
One possible solution that I’m thinking would be to use: tee → (nvstreamdemux → nvstreammux)*, right after PeopleNet and NvDCF plugin.
*for each branch
Is it also possible to use Triton server?