peltiern
commented
12 months ago Hi @VieiraJardel ,
I have the same problem as you with the same error on my Jetson Nano. What instructions did you follow to successfully get facial recognition working from a blank SD card (as you indicate in your last sentences) ?
Thank you, Nicolas
Description
1º I’m trying to build a facial recognition system, but I’m getting a Segmentation fault (core dumped) error.
Here are the software versions I’m using:
I followed all the instructions from Simple accelerated face recognition - #19 by AastaLLL
My code is based on this tutorial: https://www.youtube.com/watch?v=eTf3UtnxMdw&list=PLGs0VKk2DiYxP-ElZ7-QXIERFFPkOuP4_&index=44 I triyed build dlib 19.17 19.21 19.22 19.23 and 19.24. I’m facing the same error.
2º I built OpenCV following the JetsonHacks tutorial. I followed the instructions provided in Simple accelerated face recognition - #19 by AastaLLL, but I encountered the same issue: “Segmentation fault (core dumped).”
Here are the versions of the software I’m using:
3º Now I uninstalled dlib and face recognition and reinstalled following Paul McWhorter’s instructions (without building):
sudo apt-get update sudo apt-get install cmake libopenblas-dev liblapack-dev libjpeg-dev sudo apt-get install python3-pip
Swap memory setup (if applicable) wget http://dlib.net/files/dlib-19.17.tar.bz2 tar jxvf dlib-19.17.tar.bz2 gedit cudnn-dlibapi.cpp sudo python3 setup.py install sudo pip3 install face_recognition However, even after these steps, I encountered the same issue: “Segmentation fault (core dumped).”
I tried this on another SD card without building OpenCV and dlib. I successfully completed the installation and achieved 13 FPS with the following configurations:
OpenCV 4.1.1 Dlib 19.24 My CPU usage ranged from 36% to 48%, and my GPU usage fluctuated between 40% and 100%.
Based on my experience, it seems that building OpenCV may not be necessary or could potentially cause conflicts when using the dlib and face_recognition libraries. Can anyone confirm this?