hello, i already have a retrained model in pytorch, i used mobilenet-v1-ssd-mp-0_675.pth to retrain with my own image dataset.
After doing this I converted the model to the onnx format to be able to work on the jetson nano, and I managed to process images and videos giving the respective results very well.
My question is how can I process images and videos using the pytorch model (“mb1-ssd-Epoch-20-Loss-1.2040329179303213.pth”), in order to compare the performance between the model on my computer and in my jetson.
I used the jetson-inference repo to do that.
Can someone explain then how do I use the .pth file to get results from images and videos?
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