Hi, for my internship I want to use MASK-RCNN on a Jetson NANO. I know that you’re unable to train this model on a jetson nano(B01) so I trained it on google colab. Right now I want to deploy the trained model on the jetson and found this topic: https://github.com/NVIDIA/TensorRT/tree/master/samples/opensource/sampleUffMaskRCNN
I came to conclusion that this tutorial that the steps in the topic are supposed to be executed on other hardware (correct me if im wrong). The current situation is as follows:
I have a jetson nano b01 (4gb version), a laptop with an NVIDIA GeForce 940MX and thats about it. For my internship mask-rcnn doesnt have to be executed in realtime so detection time isn’t an issue (as i’ve read that it mask rcnn would be terrible slow on a jetson nano).
- Is there any way for me to run my mask rcnn .h5 model on my jetson nano B01 (with or without converting it) with only using my available hardware?
- Is there a way to deploy a mask-rcnn model (.h5) without changes, on a jetson nano B01?
- Is there a way, with my hardware, to convert the mask rcnn model using the steps in the above mentioned topic?