probably you have to have ffmpeg libsm6 libxext6
packages installed in the docker container where you use opencv.
Final answer was
docker="ultralytics/ultralytics:latest",
docker_args=["--network=host", "--ipc=host"],
How to replicate on ClearML:
task = Task.create(
script="myscript.py",
packages=["opencv-python==4.6.*", "ultralytics"],
docker="nvcr.io/nvidia/pytorch:22.12-py3",
)
Contents of myscript.py:from ultralytics import YOLO
pip install ultralytics --no-deps
would also work. Is there a way to pass this to clearML?
On local I am able to import ultralytics in this docker imagedocker run --gpus 1 -it
nvcr.io/nvidia/pytorch:22.12-py3# pip install opencv-python==4.6.* ultralytics
# python
>>> from ultralytics import YOLO
>>>
Using docker="ultralytics/ultralytics:latest"
and docker_args=["--privileged"]
seems to work!
@<1717350332247314432:profile|WittySeal70> what's strange is I can import the package in the docker container when I run it outside of clearML
What does ClearML do differently that leads to a failure here?