解决opencv中使用cv2.imshow不显示图片问题
opencv
OpenCV: 开源计算机视觉库
项目地址：https://gitcode.com/gh_mirrors/opencv31/opencv
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在使用opencv中的cv2.imshow显示图片的时候总会出现如下错误：cv2.error: OpenCV(4.8.1) D:\a\opencv-python\opencv-python\opencv\modules\highgui\src\window.cpp:1272: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvShowImage'
1：查找了很多资料发现是在安装opencv的时候安装顺序出现了问题，于是执行下面代码，重新安装imshow就能成功显示图片了
pip uninstall opencv-python
pip uninstall opencv-contrib-python
pip install opencv-contrib-python
pip install opencv-python
二：模块冲突，卸载opencv-contrib-python，查看以下几种包之间依赖
大概率解决问题。
opencv-python: 只包含opencv库的主要模块. 一般不推荐安装.
opencv-contrib-python: 包含主要模块和contrib模块, 功能基本完整, 推荐安装.
opencv-python-headless: 和opencv-python一样, 但是没有GUI功能, 无外设系统可用.
opencv-contrib-python-headless: 和opencv-contrib-python一样但是没有GUI功能. 无外设系统可用
GitHub 加速计划 / opencv31 / opencv
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OpenCV: 开源计算机视觉库
最近提交(Master分支：4 个月前 )
1f47f5ba
imgproc: replace assertion in cornerSubPix with descriptive error #28404
Replace CV_Assert with explicit bounds check for initial corners in cornerSubPix.
This provides a descriptive runtime error instead of abrupt termination,
improving error handling for Python and C++ users.
No algorithmic or behavioral change for valid inputs.
Fixes #25139 (Related to #7276).
### Pull Request Readiness Checklist
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
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