Hi,
I want to use a DNN model using conv3d in Deepstream sdk.
I transformed the pytorch model (.pth) into TensorRT engine (.engine) successfully.
However, as you know, Conv3d requires the input image with 5 dim tensor. (batch, channel, sequence_length, width, height)
I am wondering is there an example test case using Conv3d at deepstream sdk??
I already checked C/C++ Sample Apps and python Apps in GitHub - NVIDIA-AI-IOT/deepstream_python_apps: DeepStream SDK Python bindings and sample applications
It will be very helpful!!
Thanks in advance,
Sincerely,
Joe Jang