Comments (7)
It does! Thanks a lot for your time
from dockerfile-yolov5-jetson.
@ArthropodDodecahedron
Thank you for the report!
What version of L4T Linux are you using?
I'll investigate this issue this weekend.
from dockerfile-yolov5-jetson.
I'm using 4.9.253-tegra.
from dockerfile-yolov5-jetson.
I'm using 4.9.253-tegra.
Thanks, you're using the latest Jetpack for Nano.
from dockerfile-yolov5-jetson.
Should I try downgrading? Also I can run detect.py from inside the docker container, if I do export LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1
inside the container's shell and then run it manually. Now I just need a way to make this permanent.
from dockerfile-yolov5-jetson.
adding
-v LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1
on your docker run command works? like:
sudo docker run -it --rm --runtime nvidia --network host --device /dev/video0:/dev/video0:mrw -e DISPLAY=$DISPLAY -v /tmp/.X11-unix/:/tmp/.X11-unix -v LD_PRELOAD=/usr/lib/aarch64-linux-gnu/libgomp.so.1 yolov5 python3.8 detect.py --source 0
(Sorry I don't have yolov5 jetson nano environment now)
from dockerfile-yolov5-jetson.
0db0bf1
fixes this issue. thanks!
from dockerfile-yolov5-jetson.
Related Issues (14)
- jetpack 4.5 support HOT 2
- Dockerfile Failed to clone 'opencv_extra' at step 15/19 HOT 2
- Purpose of the Dockerfile Base Image if we are installing torch and torchvision? HOT 4
- Is it possible to reduce launch time? HOT 4
- OCI runtime create failed: HOT 2
- Build.sh complains about unknown JetPack version even though I'm on 4.6 HOT 2
- Wrong Python Version HOT 5
- [SOLVED] docker: unknown server OS: .
- Failed to load module "canberra-gtk-module" using MIPI CSI Camera HOT 8
- RuntimeError: CUDA error: device kernel image is invalid HOT 13
- Run Yolov5 on host environment instead of container HOT 2
- Cannot run yolov5 on Python3.6 HOT 2
- Jetsonnano + YOLOv5 could not work on python 3.6.9 HOT 16
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from dockerfile-yolov5-jetson.