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opencv | Open Source Computer Vision Library | Computer Vision library

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kandi X-RAY | opencv Summary

opencv is a C++ library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. opencv has no bugs, it has no vulnerabilities and it has medium support. However opencv has a Non-SPDX License. You can download it from GitHub.
Open Source Computer Vision Library

kandi-support Support

  • opencv has a medium active ecosystem.
  • It has 60896 star(s) with 50971 fork(s). There are 2643 watchers for this library.
  • There were 1 major release(s) in the last 6 months.
  • There are 2010 open issues and 6782 have been closed. On average issues are closed in 208 days. There are 113 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of opencv is 4.5.5

quality kandi Quality

  • opencv has 0 bugs and 0 code smells.

securitySecurity

  • opencv has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • opencv code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.

license License

  • opencv has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

buildReuse

  • opencv releases are available to install and integrate.
  • It has 792998 lines of code, 4581 functions and 801 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
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opencv Key Features

Open Source Computer Vision Library

opencv Examples and Code Snippets

  • OpenCV numpy to cv::Mat conversion
  • Padding scipy affine_transform output to show non-overlapping regions of transformed images
  • Ignoring numbers in OpenCV corner detection
  • Remove horizontal lines with Open CV
  • Unknown OpenCV exception while using EasyOcr
  • Colab: (0) UNIMPLEMENTED: DNN library is not found
  • ERROR: Could not build wheels for pycairo, which is required to install pyproject.toml-based projects
  • Finding straight lines from tightly coupled lines and noise curvy lines
  • Circular objects rotate angle detection
  • Could not find a version that satisfies the requirement psycopg2

OpenCV numpy to cv::Mat conversion

PyMODINIT_FUNC PyInit_cv2();

Community Discussions

Trending Discussions on opencv
  • OpenCV numpy to cv::Mat conversion
  • Padding scipy affine_transform output to show non-overlapping regions of transformed images
  • Ignoring numbers in OpenCV corner detection
  • Remove horizontal lines with Open CV
  • Unknown OpenCV exception while using EasyOcr
  • Colab: (0) UNIMPLEMENTED: DNN library is not found
  • ERROR: Could not build wheels for pycairo, which is required to install pyproject.toml-based projects
  • Finding straight lines from tightly coupled lines and noise curvy lines
  • Circular objects rotate angle detection
  • Could not find a version that satisfies the requirement psycopg2
Trending Discussions on opencv

QUESTION

OpenCV numpy to cv::Mat conversion

Asked 2022-Apr-05 at 12:36

I inherited an application with opencv, shiboken and pyside and my first task was to update to qt6, pyside6 and opencv 4.5.5. This has gone well so far, I can import the module and make class instances etc. However I have a crash when passing numpy arrays:

I am passing images in the form of numpy arrays through python to opencv and I am using pyopencv_to to convert from the array to cv::Mat. This worked in a previous version of opencv (4.5.3), but with 4.5.5 it seems to be broken.

When I try to pass an array through pyopencv_to, I get the exception opencv_ARRAY_API was nullptr. My predecessor solved this by directly calling PyInit_cv2(), which was apparently previously included via a header. But I cannot find any header in the git under the tag 4.5.3 that defines this function. Is this a file that is generated? I can see there is a pycompat.hpp, but that does not include the function either.

Is there a canonical way to initialize everything so that numpy arrays can be passed properly? Or a tutorial anyone can point me to? My searches have so far not produced any useful hints.

Thanks a lot in advance! :)

ANSWER

Answered 2022-Apr-05 at 12:36

I finally found a solution. I dont know if this is the correct way of doing it, but it works.

I made a header file that contains

PyMODINIT_FUNC PyInit_cv2();

as a forward declaration and then copied over everything in the modules/python/src2 directory. I assumed this was already happening in the cv2.cpp file, because there is already exactly that line (in cv2.cpp).

But just adding that include works perfectly fine, apparently. Now I can call the init function when my own module is initialized and it seems to properly set all the needed state.

Source https://stackoverflow.com/questions/71690714

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

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