I am using this FaceLandmarks model Facial Landmarks Estimation | NVIDIA NGC . And there is information that it should give around ~115FPS on Jetson Nano with one face but I got only 5-10FPS.
I use this repository for testing: GitHub - NVIDIA-AI-IOT/deepstream_tao_apps: Sample apps to demonstrate how to deploy models trained with TAO on DeepStream
I am running some project with face detection and I got 60FPS with 60FPS real time input and that is awesome but want to add some additional feature. With all standards properties. For example when I remove from pipeline face landmarks element (SGIE) from deepstream_facelandmarks_app.cpp then I see that there is fast face detector working like a charm. What can cause that face landmarks model perform much slower then from ngc documentation?
MAXN mode is on.