I would like to add face landmarks to
facenet-120 in the jetson-inference examples script for detectNet.
My issue is that the custom dataset training examples are great for training object detectors, but what I’m looking for is a custom keypoint detector. I am essentially trying to recreate RetinaFace but with my custom dataset and for use with detectNet.
I don’t want to use torch2trt just yet, because as soon as I
import torch in a python script it consumes a large amount of RAM, I would love to have the model usable directly by jetson-inference’s detectNet.
Can anyone point me in the right direction to training a face/keypoint detector for use directly with detectnet?