I have a usecase where i have to use a numpy array input and apply semantic segmentation on it.
I tried a simple pipeline without inference where i push numpy array (converted to buffer) to the appsrc plugin passing through a converter plugin in the middle and receive the output in a sink. The simple pipeline worked. but when i added nvstreammux and nvinfer plugins, the pipeline hangs, it doesn’t really do anything or show anything after successfully loading my model config, which i am assuming means that the pipeline is stuck somewhere.
So Do you have any suggestions to solve this? is there a special conversion that needs to be added between the appsrc and the nvstreammux plugins to make them compatible?
• Hardware Platform (Jetson / GPU) : Jetson AGX
• DeepStream Version : 5.1
• JetPack Version (valid for Jetson only) : Jetpack 4.5.1
• TensorRT Version 7.1.3