Cv2 import contains nothing

I have been trying to hours to somehow use CUDA with OpenCV’s DNN in Python. However, for now it has been unsuccessful.

I started with

import cv2
net = cv2.dnn.readNet(PATH_TO_WEIGHTS, PATH_TO_CONFIG)

which, at first, was ofc expected to fail as it I use normal opencv-contrib-python. I then removed that one from my virtual environment and followed How to use OpenCV DNN Module with NVIDIA GPUs on Linux to compile OpenCV. I downloaded & compiled OpenCV, I did not forget make install. I have file in /usr/local/lib/python3.9/site-packages/cv2/python-3.9/. I made a symlink to that file in site-packages of my virtual environment’s Python.

However, if I try to import cv2, it does not seem to work. I cannot print cv2.__version__ (AttributeError: module 'cv2' has no attribute '__version__') or do pretty much anything else.

What step am I missing?

You can use print(cv2.getBuildInformation())

I am afraid that you are missing the point. __version__ is just an example, I cannot do ANYTHING.

Anyway, after like 10th re-installation, it seems to work.pkg-config --modversion opencv4 was giving me 4.6.0 so the installation itself was successful, and the problem was somewhere else. I am not sure where but in the end I had to build outside of my virtual env for Python 3.9. Then, after it worked for that Python, it worked in the virtual env once I updated Numpy & Python version, but that took a loot of time indeed.

the title of your question is misleading. I’ve fixed that.

your python seems broken, or you made a mess when you tried to install OpenCV for python.

remove all of that, start fresh. and show us every single command you executed. and avoid containers, virtual machines, virtual environments, … that just complicates everything, and you aren’t ready yet to complicate your life, and nobody willing to help will tolerate needless complications.

is there any chance, you have something else named cv2 in your env
(a .py file, a (even empty !) directory) ?

pip and other tools sometimes do not clean up properly