Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

cv2.namedWindow('test', cv2.WINDOW_AUTOSIZE) results in an error:

QObject::moveToThread: Current thread (0xca9110) is not the object's thread (0x1256140).
Cannot move to target thread (0xca9110)

here is the version:

cv2.__version__
Out[3]: '3.3.0'
QtCore.QT_VERSION_STR
Out[7]: '5.6.2'

Summary Installing opencv-python on aarch64 via pip using command "pip3 install opencv-python" throws error: No matching distribution found for opencv-python

Problem description opencv-python doesn't have wheel for aarch64 on PyPI repository. So, while installing opencv-python via pip on aarch64, it throws an error " No matching distribution found for opencv-python".

Expected Output Pip should be able to download opencv-python wheel from PyPI repository.

@opencv-pythonl-team, please let me know if I can help you building wheel/uploading to PyPI repository. I am curious to make opencv-pythonl wheel available for aarch64. It will be a great opportunity for me to work with you.

Hello,

with the recent update, in Opencv 3.4.3, the non-free algorithms such as SIFT and SURF are no more available.

>>> import cv2
>>> cv2.__version__
'3.4.3'
>>> cv2.xfeatures2d.SIFT_create()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
cv2.error: OpenCV(3.4.3) /io/opencv_contrib/modules/xfeatures2d/src/sift.cpp:1207: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'create'

>>> cv2.xfeatures2d.SURF_create()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
cv2.error: OpenCV(3.4.3) /io/opencv_contrib/modules/xfeatures2d/src/surf.cpp:1016: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'create'

As the error messages say, the library should be recompiled with -D OPENCV_ENABLE_NONFREE=1. Would it be possible to reintroduce these algorithms in the pip package?

After doing a simple pip install opencv-python or pip install opencv-contrib-python and trying to import the library, I ran into this issue:

λ python
Python 3.5.2 |Anaconda 4.2.0 (64-bit)| (default, Jul  5 2016, 11:41:13) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Anaconda3\lib\site-packages\cv2\__init__.py", line 7, in <module>
    from . import cv2
ImportError: DLL load failed: The specified module could not be found.

The readme suggests installing the Visual C++ Redistributable for Visual Studio 2015 but I already had it installed (actually had Visual Studio itself installed as well).

Checking the dependencies of the pyd binary in this package (using dumpbin which comes with Visual Studio):

λ dumpbin.exe C:\Anaconda3\Lib\site-packages\cv2\cv2.cp35-win_amd64.pyd /IMPORTS | grep dll
    python3.dll
    python35.dll
    MSVFW32.dll
    AVIFIL32.dll
    AVICAP32.dll
    KERNEL32.dll
    USER32.dll
    GDI32.dll
    ole32.dll
    OLEAUT32.dll
    COMDLG32.dll
    ADVAPI32.dll

After checking if these were in the PATH I was surprised to find that python3.dll was the only one that wasn't!

Although python3.dll comes with the standard CPython install, it's not packaged with Anaconda for some reason. ContinuumIO/anaconda-issues#1394 references this and it seems like it's just not supported(?).

As a workaround suggested in that thread, I solved this by just copying python3.dll from the official CPython 3.5.2 binaries (specifically from the Windows x86-64 embeddable zip file) into C:\Anaconda3, although I imagine it would work being anywhere in your PATH.

I thought I'd share this bit of troubleshooting since Anaconda is a popular distribution among academics and so is OpenCV, so I figure I might not be the only one running into this issue. Maybe a note in the readme might help others until Anaconda resolves this?

Alternatively, the menpo/opencv3 Anaconda package would also work but I don't think it supports ffmpeg nor opencv-contrib.

For reference, I'm running on Python 3.5.2 which came with Anaconda 4.2.0 (official installer), although conda info reports a slightly newer version:

λ conda info
Current conda install:

               platform : win-64
          conda version : 4.3.16
       conda is private : False
      conda-env version : 4.3.16
    conda-build version : 2.0.2
         python version : 3.5.2.final.0
       requests version : 2.12.4
       root environment : C:\Anaconda3  (writable)
    default environment : C:\Anaconda3
       envs directories : C:\Anaconda3\envs
                          C:\Users\Talmo\AppData\Local\conda\conda\envs
                          C:\Users\Talmo\.conda\envs
          package cache : C:\Anaconda3\pkgs
                          C:\Users\Talmo\AppData\Local\conda\conda\pkgs
           channel URLs : https://repo.continuum.io/pkgs/free/win-64
                          https://repo.continuum.io/pkgs/free/noarch
                          https://repo.continuum.io/pkgs/r/win-64
                          https://repo.continuum.io/pkgs/r/noarch
                          https://repo.continuum.io/pkgs/pro/win-64
                          https://repo.continuum.io/pkgs/pro/noarch
                          https://repo.continuum.io/pkgs/msys2/win-64
                          https://repo.continuum.io/pkgs/msys2/noarch
            config file : None
           offline mode : False
             user-agent : conda/4.3.16 requests/2.12.4 CPython/3.5.2 Windows/10 Windows/10.0.15063

Cheers and thanks for all the work you put into this repo!

Reproduce:

• pip install --upgrade pip setuptools wheel
• CMAKE_ARGS="-DOPENCV_ENABLE_NONFREE=ON" pip install -v --no-binary=opencv-contrib-python opencv-contrib-python

Related commit: https://github.com/opencv/opencv-python/commit/6a1f61b8d7e413059dbf0b9e897579c8305c327f#diff-60f61ab7a8d1910d86d9fda2261620314edcae5894d5aaa236b821c7256badd7R389

Related PR: https://github.com/opencv/opencv-python/pull/563

Error:

Configuring Project
    Working directory:
      /tmp/pip-install-ais_cble/opencv-python_36817dc5e0834847b9d8f8f1dc7bd3c4/_skbuild/linux-x86_64-3.8/cmake-build
    Command:
      cmake /tmp/pip-install-ais_cble/opencv-python_36817dc5e0834847b9d8f8f1dc7bd3c4/opencv -G Ninja -DCMAKE_INSTALL_PREFIX:PATH=/tmp/pip-install-ais_cble/opencv-python_36817dc5e0834847b9d8f8f1dc7bd3c4/_skbuild/linux-x86_64-3.8/cmake-install -DPYTHON_EXECUTABLE:FILEPATH=/home/elmeri/.venv/ml/bin/python3.8 -DPYTHON_VERSION_STRING:STRING=3.8.12 -DPYTHON_INCLUDE_DIR:PATH=/usr/include/python3.8 -DPYTHON_LIBRARY:FILEPATH=/usr/lib/libpython3.8.so -DSKBUILD:INTERNAL=TRUE -DCMAKE_MODULE_PATH:PATH=/tmp/pip-build-env-bo2trral/overlay/lib/python3.8/site-packages/skbuild/resources/cmake -DPYTHON3_EXECUTABLE=/home/elmeri/.venv/ml/bin/python3.8 -DPYTHON3_INCLUDE_DIR=/usr/include/python3.8 -DPYTHON3_LIBRARY=/usr/lib/libpython3.8.so -DBUILD_opencv_python3=ON -DBUILD_opencv_python2=OFF -DBUILD_opencv_java=OFF -DOPENCV_PYTHON3_INSTALL_PATH=python -DINSTALL_CREATE_DISTRIB=ON -DBUILD_opencv_apps=OFF -DBUILD_opencv_freetype=OFF -DBUILD_SHARED_LIBS=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_DOCS=OFF -DOPENCV_ENABLE_NONFREE=ON -DCMAKE_BUILD_TYPE:STRING=Release

  Copying files from CMake output
  Traceback (most recent call last):
    File "/home/elmeri/.venv/ml/lib/python3.8/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 349, in <module>
      main()
    File "/home/elmeri/.venv/ml/lib/python3.8/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 331, in main
      json_out['return_val'] = hook(**hook_input['kwargs'])
    File "/home/elmeri/.venv/ml/lib/python3.8/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 248, in build_wheel
      return _build_backend().build_wheel(wheel_directory, config_settings,
    File "/tmp/pip-build-env-bo2trral/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 221, in build_wheel
      return self._build_with_temp_dir(['bdist_wheel'], '.whl',
    File "/tmp/pip-build-env-bo2trral/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 207, in _build_with_temp_dir
      self.run_setup()
    File "/tmp/pip-build-env-bo2trral/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 258, in run_setup
      super(_BuildMetaLegacyBackend,
    File "/tmp/pip-build-env-bo2trral/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 150, in run_setup
      exec(compile(code, __file__, 'exec'), locals())
    File "setup.py", line 496, in <module>
      main()
    File "setup.py", line 248, in main
      skbuild.setup(
    File "/tmp/pip-build-env-bo2trral/overlay/lib/python3.8/site-packages/skbuild/setuptools_wrap.py", line 625, in setup
      _classify_installed_files(cmake_manifest, package_data, package_prefixes,
    File "setup.py", line 381, in _classify_installed_files_override
      with open('scripts/__init__.py', 'r') as custom_init:
  FileNotFoundError: [Errno 2] No such file or directory: 'scripts/__init__.py'
  Building wheel for opencv-python (pyproject.toml) ... error
  ERROR: Failed building wheel for opencv-python
Failed to build opencv-python
ERROR: Could not build wheels for opencv-python, which is required to install pyproject.toml-based projects

See https://github.com/opencv/opencv/issues/18079 for background.

I do not own a Mac so I cannot fix this easily by myself without trial and error which will take a lot of time. As a summary, Info.plist file should exist in the packages.

Similar issue in PyQt (note that their package structure is different): https://riverbankcomputing.com/pipermail/pyqt/2020-January/042419.html

Related things in this repository:

• Some Qt related stuff is already copied during the build process to the packages: https://github.com/skvark/opencv-python/blob/master/patches/patchQtPlugins
• Some Qt related environment variables are set during import https://github.com/skvark/opencv-python/blob/master/cv2/init.py

Expected behaviour

imshow displays image

Actual behaviour

when calling cv2.imshow(), I mostly get a small window with the correct name but containing only a black screen. It does work sometimes however but it is unpredictable. This issue was not encountered in previous versions of opencv-contrib-python.

Steps to reproduce

• example code

import cv2 import os import imutils

image = cv2.imread("ref_image.png")

cv2.imshow("test", image) cv2.waitKey(0)

cv2.destroyAllWindows()

• operating system : Ubuntu 20.04
• architecture (e.g. x86): x64
• python version: 3.8
• opencv-python version: opencv-contrib-python 4.3.36

PR Description

This PR introduces Major Fixes and updates like OpenSSL for opencv-python's FFmpeg backend.

Fixes

#204 #193

Changes

• Major Fixes and updates for Docker files (both x86 & x86-64)
• Enabled FFmpeg backend with OpenSSL
• Removed libjpeg-turbo libs build from scratch

OpenCV 4.50 supports building for Apple Silicon (view release notes, PR https://github.com/opencv/opencv/pull/18094 was merged and released in 4.50). Now that the size limit for the project on PyPI has been increased, is there any chance we get prebuilt wheels for macOS arm64? The build script supports cross compilation from x86_64 to arm64, so I don't think dedicated Apple Silicon CI hardware is needed.

These two has been put into opencv_contrib

I see opencv_contrib from this article http://www.pyimagesearch.com/2015/07/16/where-did-sift-and-surf-go-in-opencv-3/

BTW: thanks for your great job.

Expected behaviour

I'm using ORB FE = cv2.ORB_create(self.MAX_FEATURES) as features extractor to do registration.

Actual behaviour

But when I call TargetKP, TargetDesc = FE.detectAndCompute(ImTarget, None), I get a segmentation fault error: Fatal Python error: Segmentation fault.

I have to use the option -X faulthandler to be able to find the line that generates this error, and it the one I mentioned above TargetKP, TargetDesc = FE.detectAndCompute(ImTarget, None), but I just get this line, nothing more, not trace.

Steps to reproduce

• example code FE = cv2.ORB_create(2013) TargetKP, TargetDesc = FE.detectAndCompute(ImTarget, None)

ImTarget being a 23K x 29K pixels image encoded on 8 bits. For the record, it is dense with information as it is a tissues section, so full of overlapping cells.

• operating system Linux Centos 7

• opencv-python version 4.5.1

System Information

OpenCV python version: 4.7.0.68 Operating System / Platform: quay.io/pypa/manylinux_2_24_x86_64 Python version: 3.8+ ZLIB version: 1.2.8

OpenCV python version: 4.7.0.68 Operating System / Platform: quay.io/pypa/manylinux2014 Python version: 3.8+ ZLIB version: 1.2.7

Detailed description

The latest opencv (4.7.0.68) requires ZLIB >= 1.2.9. This upgrade introduces fatal backward compatibility issue, since the dominant platforms like manylinux2014 and manylinux_2_24_x86_64 can't meet the requirement, especially the related wheels are shipped with platform tag manylinux2014_x86_64. As a consequence, running the latest opencv (4.7.0.68) on those platforms raises the version ZLIB_1.2.9 not found error.

Steps to reproduce

docker run --rm -it quay.io/pypa/manylinux2014_x86_64

/opt/python/cp38-cp38/bin/pip install opencv-python-headless
/opt/python/cp38-cp38/bin/python -c 'import cv2 as cv'

docker run --rm -it quay.io/pypa/manylinux_2_24_x86_64

/opt/python/cp38-cp38/bin/pip install opencv-python-headless
/opt/python/cp38-cp38/bin/python -c 'import cv2 as cv'

The log of pip:

[[email protected] /]# /opt/python/cp38-cp38/bin/pip install opencv-python-headless
Collecting opencv-python-headless
  Downloading opencv_python_headless-4.7.0.68-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (49.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.2/49.2 MB 9.1 MB/s eta 0:00:00
Collecting numpy>=1.17.0
  Downloading numpy-1.24.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.3/17.3 MB 9.8 MB/s eta 0:00:00
Installing collected packages: numpy, opencv-python-headless
Successfully installed numpy-1.24.1 opencv-python-headless-4.7.0.68

Example of the error:

[email protected]:/# /opt/python/cp38-cp38/bin/python -c 'import cv2 as cv'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/opt/python/cp38-cp38/lib/python3.8/site-packages/cv2/__init__.py", line 181, in <module>
    bootstrap()
  File "/opt/python/cp38-cp38/lib/python3.8/site-packages/cv2/__init__.py", line 153, in bootstrap
    native_module = importlib.import_module("cv2")
  File "/opt/python/cp38-cp38/lib/python3.8/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
ImportError: /lib/x86_64-linux-gnu/libz.so.1: version `ZLIB_1.2.9' not found (required by /opt/_internal/cpython-3.8.16/lib/python3.8/site-packages/cv2/../opencv_python_headless.libs/libpng16-186fce2e.so.16.37.0)

Issue submission checklist

• [X] I report the issue, it's not a question
• [X] I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
• [X] I updated to the latest OpenCV version and the issue is still there
• [X] There is reproducer code and related data files (videos, images, onnx, etc)

Expected behaviour

I am currently trying to write a video after applying some mediapipe operations. The video with (size: 1080 x 1920, codec: MPEG-4 AAC, Timed Metadata, HEVC) is able to be written by the cv.VideoWriter class, but for some reason a video with (size: 720 x 1080, codec: Timed Metadata, H.264, MPEG-4 AAC) is not being written. I assumed it was due to the H.264 codec. But, I'm not sure how to fix it at the moment. Apologies, if this is an easy fix!

For additional info, the larger video was recorded from a video and the smaller video was downloaded from facebook messenger, which is why i assume they have different codec formats.

Actual behaviour

Both video formats should be able to be written using cv.VideoWriter class. Also, i have tried saving the video without any of the mediapipe operations. The behaviour is the same. When I view the frames with cv.imshow(), the frames are flipped for the 1080 x 1980 as well.

Steps to reproduce

• example code

# OpenCV Capture
cap = cv.VideoCapture(args.input if args.input else 0)

# Create a VideoWriter object so we can save the video output
fourcc = cv.VideoWriter_fourcc(*'mp4v')
output_frames_per_second = 30.0
out = cv.VideoWriter(os.path.join(OUTPUT_DIR, args.output_filename),  
                        fourcc, 
                        output_frames_per_second, 
                        (args.width, args.height))

while cap.isOpened():
    hasFrame, frame = cap.read()
    print(hasFrame)
    if not hasFrame:
        # cv.waitKey()
        break
    
    # Flip image vertically if model type is mediatype
    if args.model_type == 'mediapipe':
        frame = cv.flip(frame, -1)
    # Get Pose Joints
    points = pose.returnPoints(frame)

    # Draw Pose Joints on frame
    pose.drawJoints(frame, points)

    # Display Frame
    # cv.imshow('OpenPose using OpenCV', frame)

    # Write the frame to the output video file
    out.write(frame)

if args.model_type == 'media':
    pose.close()

# Stop when the video is finished
cap.release()
     
# Release the video recording
out.release()

• operating system mac os Ventura
• architecture (e.g. x86) ARM (silicon)
• opencv-python version opencv-contrib-python==4.6.0.66 opencv-python==4.5.5.64

Hello, I would like to determine the pose of my board. I used all provided functions from the library (opencv in python)

Actual behaviour

I was able to detect the marker + id and the corners correctly. But when I use the function cv2.aruco.estimatePoseCharucoBoard(...) it returns me not the correct pose ( in my understanding). I would have expected, that the z-axis will point to the camera and the board is placed in the x-y plane. By drawing the pose of the complete board and also the poses of the single markers I was able to visualize the mistake. Code and image results are attached.

Steps to reproduce

OpenCV => opencv-contrib-python 4.5.5.64 Env: Python 3.8

Here my code:

import numpy as np
import cv2
from cv2 import aruco
from PIL import Image

file = "img_left.png"
img = Image.open(file) 
np_img = np.array(img)
np_img_3c = np.stack([np_img, np_img, np_img], axis=-1)
np_img_result = np.copy(np_img_3c)

"setup"
arucoDict = aruco.Dictionary_get(aruco.DICT_6X6_250)
arucoParams = aruco.DetectorParameters_create()

"create the charuco board"
calibration_board = aruco.CharucoBoard_create(squaresX=5, squaresY=7, squareLength=0.072, markerLength=0.062, dictionary=arucoDict)
img_board = calibration_board.draw((200*3,200*3))
cv2.imwrite('sample_board.png',img_board)


"camera parameters"
fx = 1632.677490234375 
fy = 1632.677490234375 
cx = 640. 
cy = 480.
cameraMatrix = np.array([[fx, 0, cx], [0, fy, cy], [0.,0.,1.]])
distorsionCoeff = np.array([0.0, 0.0, 0.0, 0.0])

"detect markers"
(marker_corners, marker_ids, rejected) = aruco.detectMarkers(np_img_3c, arucoDict, parameters=arucoParams)
"draw detected markers"
img2 = aruco.drawDetectedMarkers(np_img_result, marker_corners, marker_ids)
detected = Image.fromarray(img2)
detected.save("1_detected_markers.png")

"interpolate corners"
_, charuco_corners, charuco_ids = cv2.aruco.interpolateCornersCharuco(marker_corners, marker_ids, np_img_3c, calibration_board, cameraMatrix=cameraMatrix, distCoeffs=distorsionCoeff)

"draw detected corners"
img1 = aruco.drawDetectedCornersCharuco(np_img_result, charuco_corners, charuco_ids, (255, 0, 0))
img_corners = Image.fromarray(img1)
img_corners.save("2_detected_corners.png")

"get pose of board"
valid, rvec, tvec = aruco.estimatePoseCharucoBoard(charuco_corners, charuco_ids, calibration_board, cameraMatrix, distorsionCoeff, np.empty(1), np.empty(1), useExtrinsicGuess=False)

img_result = cv2.drawFrameAxes(np.copy(np_img_3c), cameraMatrix, distorsionCoeff, rvec, tvec, 0.08)
img_calib_result = Image.fromarray(img_result)
img_calib_result.save("3_calib_pose.png")


"get pose of single markers"
rvecs, tvecs, objPoints = aruco.estimatePoseSingleMarkers(marker_corners, markerLength=0.062, cameraMatrix=cameraMatrix, distCoeffs=distorsionCoeff)
img_single_pose = np.copy(np_img_3c)
for i in range(len(rvecs)):
    img_single_pose = cv2.drawFrameAxes(img_single_pose, cameraMatrix, distorsionCoeff, rvecs[i], tvecs[i], 0.05)
img_single_pose = Image.fromarray(img_single_pose)
img_single_pose.save("4_calib_single_pose.png")

Find attached the result: Detection of markers and coners works:

Resulting pose and single marker pose

In my understanding the z-axis (blue) should point to the camera. Am I right? Hope you can help me.

Best regard, Patrick

System Information

OpenCV version: 4.6.0 Operating System / Platform: Ubuntu 20.04 Python 3.8.10 (default, Jun 22 2022, 20:18:18)

Detailed description

cv2.readNet().forward() produces wrong results using manually built OpenCV compared to the wheel published on PyPi - opencv-contrib-python-headless.

The output of .forward() is off by few pixels (5-10), confidence is off, sometimes significantly.

Concerns YOLOv5 (default model) converted to ONNX using their converting script.

When it produces correct results:

• CPU inference with opencv-contrib-python-headless from PyPi
• CUDA inference with manually built opencv-contrib-python-headless

When results are wrong:

• CPU inference with manually built opencv-contrib-python-headless

So apparently my manual built is not using some BLAS/CPU library that official build is using? Still looks like a bug, given that inference does work and it does produce results that look sane (but in reality are off).

Steps to reproduce

1. Clone yolov5 repo
2. Convert model to ONNX using export.py
3. Run resulting yolov5s.onnx using cv2.dnn on sample image converted to png.
4. Inference should be on CPU using provided build (below)
5. Raw output from net.forward() will be wrong, while it's right with opencv binaries from pypi.

Build details:

General configuration for OpenCV 4.6.0 =====================================
  Version control:               4.6.0

  Extra modules:
    Location (extra):            /usr/src/opencv-python/opencv_contrib/modules
    Version control (extra):     4.6.0

  Platform:
    Timestamp:                   2022-12-02T17:57:18Z
    Host:                        Linux 5.15.0-1023-aws x86_64
    CMake:                       3.25.0
    CMake generator:             Ninja
    CMake build tool:            /usr/bin/ninja
    Configuration:               Release

  CPU/HW features:
    Baseline:                    SSE SSE2 SSE3
      requested:                 SSE3
    Dispatched code generation:  SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX
      requested:                 SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
      SSE4_1 (15 files):         + SSSE3 SSE4_1
      SSE4_2 (1 files):          + SSSE3 SSE4_1 POPCNT SSE4_2
      FP16 (0 files):            + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
      AVX (4 files):             + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
      AVX2 (28 files):           + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
      AVX512_SKX (4 files):      + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX

  C/C++:
    Built as dynamic libs?:      NO
    C++ standard:                11
    C++ Compiler:                /usr/bin/c++  (ver 9.4.0)
    C++ flags (Release):         -fsigned-char -ffast-math -W -Wall -Wreturn-type -Wnon-virtual-dtor -Waddress -Wsequence-point -Wformat -Wformat-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG  -DNDEBUG
    C++ flags (Debug):           -fsigned-char -ffast-math -W -Wall -Wreturn-type -Wnon-virtual-dtor -Waddress -Wsequence-point -Wformat -Wformat-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Wsuggest-override -Wno-delete-non-virtual-dtor -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -fvisibility-inlines-hidden -g  -O0 -DDEBUG -D_DEBUG
    C Compiler:                  /usr/bin/cc
    C flags (Release):           -fsigned-char -ffast-math -W -Wall -Wreturn-type -Waddress -Wsequence-point -Wformat -Wformat-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -O3 -DNDEBUG  -DNDEBUG
    C flags (Debug):             -fsigned-char -ffast-math -W -Wall -Wreturn-type -Waddress -Wsequence-point -Wformat -Wformat-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Wno-comment -Wimplicit-fallthrough=3 -Wno-strict-overflow -fdiagnostics-show-option -Wno-long-long -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections  -msse -msse2 -msse3 -fvisibility=hidden -g  -O0 -DDEBUG -D_DEBUG
    Linker flags (Release):      -Wl,--exclude-libs,libippicv.a -Wl,--exclude-libs,libippiw.a   -Wl,--gc-sections -Wl,--as-needed -Wl,--no-undefined  
    Linker flags (Debug):        -Wl,--exclude-libs,libippicv.a -Wl,--exclude-libs,libippiw.a   -Wl,--gc-sections -Wl,--as-needed -Wl,--no-undefined  
    ccache:                      NO
    Precompiled headers:         NO
    Extra dependencies:          /lib/openblas-base/libopenblas.so /usr/lib/x86_64-linux-gnu/libpng.so /usr/lib/x86_64-linux-gnu/libz.so Iconv::Iconv m pthread cudart_static dl rt nppc nppial nppicc nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cudnn cufft -L/usr/local/cuda/lib64 -L/usr/lib/x86_64-linux-gnu
    3rdparty dependencies:       libprotobuf ade ittnotify libjpeg-turbo libwebp libtiff libopenjp2 IlmImf ippiw ippicv

  OpenCV modules:
    To be built:                 barcode bioinspired core cudaarithm cudabgsegm cudacodec cudafilters cudaimgproc cudalegacy cudawarping cudev dnn dnn_objdetect dnn_superres fuzzy gapi hfs img_hash imgcodecs imgproc intensity_transform line_descriptor ml phase_unwrapping photo plot python3 quality reg tracking video videoio wechat_qrcode xphoto
    Disabled:                    calib3d features2d flann highgui objdetect world
    Disabled by dependency:      aruco bgsegm ccalib cudafeatures2d cudaobjdetect cudaoptflow cudastereo datasets dpm face mcc optflow rapid rgbd saliency shape stereo stitching structured_light superres surface_matching text videostab xfeatures2d ximgproc xobjdetect
    Unavailable:                 alphamat cvv freetype hdf java julia matlab ovis python2 sfm ts viz
    Applications:                -
    Documentation:               NO
    Non-free algorithms:         NO

  GUI: 
    VTK support:                 NO

  Media I/O: 
    ZLib:                        /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.11)
    JPEG:                        libjpeg-turbo (ver 2.1.2-62)
    WEBP:                        build (ver encoder: 0x020f)
    PNG:                         /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.6.37)
    TIFF:                        build (ver 42 - 4.2.0)
    JPEG 2000:                   build (ver 2.4.0)
    OpenEXR:                     build (ver 2.3.0)
    HDR:                         YES
    SUNRASTER:                   YES
    PXM:                         YES
    PFM:                         YES

  Video I/O:
    DC1394:                      NO
    FFMPEG:                      NO
      avcodec:                   NO
      avformat:                  NO
      avutil:                    NO
      swscale:                   NO
      avresample:                NO
    GStreamer:                   NO
    v4l/v4l2:                    YES (linux/videodev2.h)

  Parallel framework:            pthreads

  Trace:                         YES (with Intel ITT)

  Other third-party libraries:
    Intel IPP:                   2020.0.0 Gold [2020.0.0]
           at:                   /usr/src/opencv-python/_skbuild/linux-x86_64-3.8/cmake-build/3rdparty/ippicv/ippicv_lnx/icv
    Intel IPP IW:                sources (2020.0.0)
              at:                /usr/src/opencv-python/_skbuild/linux-x86_64-3.8/cmake-build/3rdparty/ippicv/ippicv_lnx/iw
    VA:                          NO
    Lapack:                      YES (/lib/openblas-base/libopenblas.so)
    Eigen:                       NO
    Custom HAL:                  NO
    Protobuf:                    build (3.19.1)

  NVIDIA CUDA:                   YES (ver 11.6, CUFFT CUBLAS FAST_MATH)
    NVIDIA GPU arch:             35 37 50 52 60 61 70 75 80 86
    NVIDIA PTX archs:

  cuDNN:                         YES (ver 8.4.0)

  OpenCL:                        YES (no extra features)
    Include path:                /usr/src/opencv-python/opencv/3rdparty/include/opencl/1.2
    Link libraries:              Dynamic load

  Python 3:
    Interpreter:                 /usr/bin/python3 (ver 3.8.10)
    Libraries:                   /usr/lib/x86_64-linux-gnu/libpython3.8.so (ver 3.8.10)
    numpy:                       /tmp/pip-build-env-i7jl326l/overlay/lib/python3.8/site-packages/numpy/core/include (ver 1.17.3)
    install path:                python/cv2/python-3

  Python (for build):            /usr/bin/python3

  Install to:                    /usr/src/opencv-python/_skbuild/linux-x86_64-3.8/cmake-install
-----------------------------------------------------------------

Issue submission checklist

• [X] I report the issue, it's not a question
• [X] I checked the problem with documentation, FAQ, open issues, forum.opencv.org, Stack Overflow, etc and have not found any solution
• [X] I updated to the latest OpenCV version and the issue is still there
• [X] There is reproducer code and related data files (videos, images, onnx, etc)

Expected behaviour

cv2 could be successfully imported.

Actual behaviour

After I install the opencv-python or opencv-python-headless, I import cv2, it will raise a exception:

AttributeError: partially initialized module 'cv2' has no attribute 'gapi_wip_gst_GStreamerPipeline' (most likely due to a circular import)

Steps to reproduce

OS: ubuntu22.04 in docker. opencv-version: 4.6.0.66

Issue submission checklist

• [x] This is not a generic OpenCV usage question (looking for help for coding, other usage questions, homework etc.)

P.S.: I can solve this issue using the answer. I use the version 4.5.5.62, everything will be ok. However, that is the problem, I do not know why the new version will cause the error.

Thank you.