Manual build using provided Docker images fails

Expected behaviour

I'm trying to build opencv-python-headless for Python 3.10 with only several modules (core, imgproc, videoio) using the provided Docker image with OpenCV dependencies, and using the provided instructions for manual builds.

I spin up the following Docker container quay.io/opencv-ci/opencv-python-manylinux2014-x86-64:20231006 and execute the following code in the container shell:

cd ~
git clone --recursive https://github.com/opencv/opencv-python.git
cd ~/opencv-python
git checkout -b 78
export CMAKE_ARGS="-DBUILD_LIST=core,imgproc,videoio" ENABLE_HEADLESS=1
python3.10 -m pip wheel . --verbose > out.txt 2>&1

Actual behaviour

The build fails with the error below and the full output of pip wheel . --verbose can be viewed in out.txt.

  Copying files from CMake output
  Traceback (most recent call last):
    File "/opt/_internal/cpython-3.10.13/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module>
      main()
    File "/opt/_internal/cpython-3.10.13/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
      json_out['return_val'] = hook(**hook_input['kwargs'])
    File "/opt/_internal/cpython-3.10.13/lib/python3.10/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 251, in build_wheel
      return _build_backend().build_wheel(wheel_directory, config_settings,
    File "/tmp/pip-build-env-v332t_75/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 230, in build_wheel
      return self._build_with_temp_dir(['bdist_wheel'], '.whl',
    File "/tmp/pip-build-env-v332t_75/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 215, in _build_with_temp_dir
      self.run_setup()
    File "/tmp/pip-build-env-v332t_75/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 267, in run_setup
      super(_BuildMetaLegacyBackend,
    File "/tmp/pip-build-env-v332t_75/overlay/lib/python3.10/site-packages/setuptools/build_meta.py", line 158, in run_setup
      exec(compile(code, __file__, 'exec'), locals())
    File "setup.py", line 535, in <module>
      main()
    File "setup.py", line 267, in main
      skbuild.setup(
    File "/tmp/pip-build-env-v332t_75/overlay/lib/python3.10/site-packages/skbuild/setuptools_wrap.py", line 706, in setup
      _classify_installed_files(
    File "setup.py", line 409, in _classify_installed_files_override
      with open(config_py, 'w') as opencv_init_config:
  FileNotFoundError: [Errno 2] No such file or directory: '_skbuild/linux-x86_64-3.10/cmake-install/python/cv2/config-3.py'
  error: subprocess-exited-with-error
  
  × Building wheel for opencv-python-headless (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> See above for output.

I also tried adding -DPYTHON3_LIMITED_API=ON to CMAKE_ARGS but the result is the same.

And I noticed that there is no folder python in _skbuild/linux-x86_64-3.10/cmake-install, let alone any config files.

Steps to reproduce

• see the code above
• Windows 10 using Docker Desktop 4.25.0
• manylinux2014-x86-64
• opencv-python-headless 4.8.1.78

Since the error is related to scikit-build, maybe @henryiii could also help? Thanks a lot to everyone! 🙏

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

Reproduce the documented manual build in the provided Docker image using the shown CMAKE_ARGS and pip wheel command. Start with setup.py, especially _classify_installed_files_override, and inspect the _skbuild/linux-x86_64-3.10/cmake-install output; done means the selected core, imgproc, and videoio modules produce a wheel successfully.