So after a lot of tries, I was finally able to develop a TensorRT engine for the detectron2’s mask-rcnn in the docker.
While I did do inference to check the performance, I was wondering if you guys could advice me something.
I want to do real-time inference with a webcam so if you know anything, it would be a big help.
Of course, I am trying to develop the code myself too but it would be a big help if you could perhaps point me to the right direction.
I am also simultaneously doing it on Jetson now that I have updated my jetpack to 5.1.
Thank you all!
TensorRT Version: 18.104.22.168
CUDA Version: 11.8
CUDNN Version: 8.6
Operating System + Version: Ubuntu20.04
Python Version (if applicable): 3.8
PyTorch Version (if applicable): 2
TensorRT for Detection
Docker Image for Jetpack 5.1