• Hardware Platform (Jetson / GPU) Jetson Xavier NX
• DeepStream Version 5.0
• JetPack Version (valid for Jetson only) 32.4.3
• TensorRT Version 220.127.116.11
• NVIDIA GPU Driver Version (valid for GPU only)
Hello! I’ve trained a classifier model to be used in Python DeepStream 5.0 using the latest TLT 2.0 and operate on one class-id of PGIE. I’m also using libnvds_nvdcf tracker. The thing is that it seems to me that secondary inference is not running in every frame as I would like. Reading the DS Plugin Manual (https://docs.nvidia.com/metropolis/deepstream/dev-guide/index.html#page/DeepStream%20Plugins%20Development%20Guide/deepstream_plugin_details.html) I found there’s an option in SGIE called secondary-reinfer-interval and as the description says, it makes the SGIE to reinfer over the objects in n frames. When I apply that option in SGIE config file it launches the error: GstNvInfer does not have property secondary-reinfer-interval. Am I using the wrong way that option?
Thanks in advance!