I would like to do semantic segmentation (i.e. run inference) with a neural network trained on Cityscapes such as MobileNet-v3 or Xception_71 . I use PX2 (AutoChaffeur, Ubuntu 16.04, AArch64), so I can only use C++ API rather than Python API, as the latter is just not available. Obviously, I would also need to use TensorRT for my task. I had been wondering if somebody could suggest some particular tutorials I should follow; I know that there’s quite a lot of them on NVIDIA website, but it is precisely this abundance of information that makes me feel a bit at loss… Thanks a lot in advance!
We have provided DLI lab at GTC on this earlier but it is not available in public domain. If you already have a trained model, you can take a look at TensorRT samples on optimizing your model furthur. Let us know if you face any issues. Also, note that the last release on DRIVE PX 2 has TensorRT 4.0 and all the releases now are targetted towards to DRIVE AGX platform. If possible consider upgrading to DRIVE AGX platform to get latest SW stack.
Thanks a lot!