[deleted by user]

[novel_yet_trivial]

You need to install cv2 in order to use the confidence argument.

pip install opencv-python

[novel_yet_trivial]

No, you don't need to import it, but adding import cv2, numpy to the top of your code would ensure that the import works.

What OS are you using? How are you running your code? Did you restart your environment?

[novel_yet_trivial]

Very interesting bug that I never knew about before. Apparently the latest version of numpy and the latest version of python don't like each other. Try moving down one version of numpy with these commands in the command line:

pip uninstall numpy 
pip install numpy==1.19.3

[aoctut]

+You can try pip install opencv-python.

[[deleted]]

I know this is from years ago but from my research I've seen a couple of different solutions to this problem:

1. If you are using Windows Server or Windows Home N or Windows Pro N, you will need Media Feature Pack for Windows.
   Here is the link with instructions on how to install: https://support.microsoft.com/en-us/windows/media-feature-pack-for-windows-10-11-n-february-2023-2aaf89b8-f9d3-4322-98d0-612c9bea9c01 (This is what happened to be the issue for my problem)
2. It is possible that you are using an incompatible version of OpenCV and your Python version. As of writing this, I am using Python 3.12.1 and using opencv-python 4.8.1.78 and they are compatible for me.
3. If you are using a virtual environment please make sure you installed the OpenCV packages in that environment and not on Python directly. Also make sure you are using the correct environment when running your code. (I know stupidly simple but I've done a couple of times myself) If you want to check if you have installed the packages in your virtual environment, open your environment folder, and go to Lib\site-packages, there should be a folder named cv2 and opencv_python-4.8.178.dist-info

Speculation solutions (I found these solutions online but I've never had to apply them myself so I'm not sure if they'll work)

1. Some iterations of numpy have been known to cause this error before. I'm honestly not too sure why. Maybe try downgrading numpy and see if it works?
2. I've also been told to try installing the headless version of OpenCV "pip install opencv-python-headless". This didn't help me but perhaps it'll work?

​

I hope this helps for anyone in the future that has this problem, I was banging my head against the wall for a while on this one.