YOLOV8 Project Dockerfile

[najwabelarbi2]

Hello everyone,
I hope this message find you well,
I am currently working on a project that consist of Counting objects that pass through a conveyor using YOLOV8 and Supervision.
I want to Dockerize my solution (that only contains a main python file), here is my Dockerfile content:

FROM ultralytics/ultralytics:latest-jetsons

RUN pip3 install supervision==0.3.0

COPY main_count.py .

CMD ["python3", "main_count.py"]

After building my docker image and running, I have the following error:

Traceback (most recent call last):
File "main_count.py", line 1, in
import cv2
File "/usr/local/lib/python3.8/dist-packages/cv2/init.py", line 181, in
bootstrap()
File "/usr/local/lib/python3.8/dist-packages/cv2/init.py", line 175, in bootstrap
if __load_extra_py_code_for_module("cv2", submodule, DEBUG):
File "/usr/local/lib/python3.8/dist-packages/cv2/init.py", line 28, in __load_extra_py_code_for_module
py_module = importlib.import_module(module_name)
File "/usr/lib/python3.8/importlib/init.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.8/dist-packages/cv2/mat_wrapper/init.py", line 33, in
cv._registerMatType(Mat)
AttributeError: partially initialized module 'cv2' has no attribute '_registerMatType' (most likely due to a circular import)

What does it mean? how can I solve it? (PS: I'm still new to Docker)

Thank you in advance for your answer

[glenn-jocher]

@najwabelarbi2 hello!

It seems like you're encountering an issue with the OpenCV (cv2) library within your Docker container. The error message suggests there might be a problem with the installation of the cv2 module, possibly due to a circular import or an incomplete installation.

Here are a few steps you can take to troubleshoot this issue:

1. Ensure that OpenCV is installed correctly in your Docker image. You might need to explicitly install it using pip3 install opencv-python-headless or a similar command if it's not already included in the base image.

2. Check for any circular imports in your main_count.py file. A circular import occurs when two modules import each other, either directly or indirectly, which can cause issues like the one you're seeing.

3. Verify that there are no conflicting versions of OpenCV installed in the container. Sometimes, multiple versions or different builds can interfere with each other.

4. Consider clearing the Docker cache and rebuilding the image to ensure that there are no stale or corrupted layers causing the problem.

If you continue to experience issues, you might find additional troubleshooting information in the Ultralytics Docs, which can provide guidance on setting up and using YOLOv8 in various environments.

Best of luck with your object counting project! 🚀