Deploying ESAM on Jetson Nano NX
Thank you for your great work. I am currently attempting to deploy ESAM on edge devices like Jetson Nano NX, but noticed a significant slowdown in performance. Have you tried deploying ESAM on edge devices before? What might be the potential reasons for such differences?
I believe that the process of mask_generator is very slow.Maybe the clustering or SAM is to blame.
@YZYZYZY Hi! I’m deploying ESAM on a Jetson Orin NX and ran into issues during environment setup. Could you share the exact environment you used (JetPack/CUDA/cuDNN, PyTorch/torchvision, Python, and any specific dependencies), plus any steps or patches you applied on Jetson? Thanks a lot!