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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:
numpy 1.19.4
OpenCV 4.5.4 (built)
Dlib 19.21
Jetpack 4.6
CUDA 10.2
cuDNN 8.2
3º
Now I uninstalled dlib and face recognition and reinstalled following Paul McWhorter’s instructions (without building):
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?
The text was updated successfully, but these errors were encountered:
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) ?
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?
The text was updated successfully, but these errors were encountered: