Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 6.1.1
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• 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)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
Hello, I put yolo.onnx in deepstream config and created an engine file using the cudaEngine function. I can think of onnx as {0:inputs, 1:outputs} format that does not include nms.
My question is, when cluster-mode=2, is it connecting by inserting a plugin such as batchedNMSDynamicPlugin
, or is it returning to C++ from the host memory every time the model runs?
When I looked up the code, it seems to work in the latter way, but I’m curious