Import cv2 typeerror: ‘numpy._dtypemeta’ object is not subscriptable

by

When encountering the error message “TypeError: ‘numpy._dtypemeta’ object is not subscriptable” while trying to import the cv2 module, it is likely caused by an issue with the NumPy library. This error usually occurs if there is a conflict between different versions of NumPy or if the library is not installed correctly.

To resolve this issue, follow the steps below:

  1. Check NumPy Version: Verify which version of NumPy is currently installed. You can do this by running the following code:
import numpy as np
print(np.__version__)

If an older version of NumPy is installed (e.g., pre-1.20.0), it is recommended to update it to the latest version. You can update NumPy by executing the following command:

pip install --upgrade numpy
  1. Check OpenCV Installation: Ensure that OpenCV is installed correctly. Run the following code to import the OpenCV module and check its version:
import cv2
print(cv2.__version__)

If OpenCV is not installed or an older version is present, you can install/upgrade OpenCV using the following command:

pip install --upgrade opencv-python

Make sure to install the appropriate version of OpenCV compatible with your Python version.

  1. Check conflicting Packages: Third-party packages that depend on NumPy might cause conflicts. Temporarily uninstall any packages that may cause interferences and test the import again. Common conflicting packages include numpydoc, sphinxcontrib, and tensorflow.
pip uninstall <conflicting_package>
  1. Reinstalling Packages: If the above steps do not resolve the issue, you can try uninstalling and reinstalling both NumPy and OpenCV:
pip uninstall numpy
pip uninstall opencv-python

pip install numpy
pip install opencv-python

After performing these steps, the “TypeError: ‘numpy._dtypemeta’ object is not subscriptable” error should be resolved.

Example:

<div class="code">
  <p>import numpy as np</p>
  <p>print(np.__version__)</p>
  
  <p>import cv2</p>
  <p>print(cv2.__version__)</p>
</div>

Read more interesting post

Leave a comment