In anticipation of the forthcoming JetPack 6.0 release this mid-November, I’ve been busy updating my setup tutorials. Now, you can seamlessly upgrade to CUDA 12.2 and TensorRT 8.6.1. The revised guide also includes steps to compile PyTorch 2.1.0 and OpenCV with CUDA support.
While we await JetPack 6.0’s release, featuring updated libraries and the capability to install the latest Linux kernel, I’m thrilled to share that I’ve successfully deployed nanoSam in Real-Time on the Jetson AGX Orin Developer Kit.
Thanks to @asierarranz and @dusty_nv GitHub - dusty-nv/jetson-containers: Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
and jetsonhacks(youtube channel)
I’ve learnt so much these days!