cv2.findEssentialMat w/ USAC_ACCURATE throws LAPACK/Eigen error from pypi wheel

Expected behaviour

I expect the library not to crash or throw an error:

Actual behaviour

error: OpenCV(4.5.3) /tmp/pip-req-build-l1r0y34w/opencv/modules/calib3d/src/usac/essential_solver.cpp:197: error: (-213:The function/feature is not implemented) To use essential matrix solver LAPACK or Eigen has to be installed! in function 'estimate'

but I installed this from the pypi wheel. I would expect auditwheel or delocate to have provided the Eigen dependencies

Steps to reproduce

• example code

!pip install opencv_python==4.5.3.56

then

            i2Ei1, inlier_mask = cv2.findEssentialMat(
                uv_norm_i1[match_indices[:, 0]],
                uv_norm_i2[match_indices[:, 1]],
                K,
                method=cv2.USAC_ACCURATE,
                threshold=self._estimation_threshold_px / fx,
                prob=RANSAC_SUCCESS_PROB,
            )

• operating system + architecture (e.g. x86)

uname -a
Linux 9f3c72e6a869 5.4.104+ #1 SMP Sat Jun 5 09:50:34 PDT 2021 x86_64 x86_64 x86_64 GNU/Linux

• opencv-python version

import cv2
cv2.__version__
4.5.3

Issue submission checklist

• This is not a generic OpenCV usage question (looking for help for coding, other usage questions, homework etc.)
• I have read the README of this repository and understand that this repository provides only an automated build toolchain for OpenCV Python packages (there is no actual OpenCV code here)
• The issue is related to the build scripts in this repository, to the pre-built binaries or is a feature request (such as "please enable this additional dependency")
• I'm using the latest version of opencv-python