kandi X-RAY | opencv_contrib Summary
kandi X-RAY | opencv_contrib Summary
This repository is intended for the development of so-called "extra" modules, contributed functionality. New modules quite often do not have stable API, and they are not well-tested. Thus, they shouldn't be released as a part of official OpenCV distribution, since the library maintains binary compatibility, and tries to provide decent performance and stability. So, all the new modules should be developed separately, and published in the opencv_contrib repository at first. Later, when the module matures and gains popularity, it is moved to the central OpenCV repository, and the development team provides production-quality support for this module.
Top functions reviewed by kandi - BETA
opencv_contrib Key Features
opencv_contrib Examples and Code Snippets
Trending Discussions on opencv_contrib
I'm using the following Make to build OpenCV from source,...
ANSWERAnswered 2022-Feb-10 at 18:05
I think that you've installed ffmpeg 5 and OpenCV is not yet compatible with it. Please try the following:
I am trying to speed up some multi-camera system that relies on calculation of fundamental matrices between each camera pair.
Please notice the following is pseudocode.
@ means matrix multiplication,
| means concatenation.
I have code to calculate
F for each pair
calculate_f(camera_matrix1_3x4, camera_matrix1_3x4), and the naiive solution is
ANSWERAnswered 2022-Jan-03 at 13:58
Numpy is clearly not optimized for working on small matrices. The parsing of CPython input objects, internal checks and function calls introduce a significant overhead which is far bigger than the execution time need to perform the actual computation. Not to mention the creation of many temporary arrays is also expensive. One solution to solve this problem is to use Numba or Cython.
Moreover, the computation of the determinant can be optimized a lot since you know the exact size of the matrix and a part of the matrix does not always change. Indeed, using a basic algebraic expression for the 4x4 determinant help compilers to optimize a lot the overall computation thanks to the common sub-expression elimination (not performed by the CPython interpreter) and the removal of complex loops/conditionals in
Here is the resulting code:
I'm starting a project with OpenCV with ROS and i need to use xfeatures2d that is in opencv_contrib. I follow this instructions and modify my CMake File in this way:...
ANSWERAnswered 2021-Dec-02 at 14:19
I found a solution in Github:
I am trying to optimize my detector created with OpenCV in python using the GPU. The error I am encountering is the following:
cv2.error: OpenCV(4.5.1) c:\opencv_build\opencv_contrib-4.5.1\modules\cudalegacy\src\cuda\ncvhaarobjectdetection.cu:2079: error: (-215:Assertion failed) haar.ClassifierSize.height > 0 && haar.ClassifierSize.width > 0 in function 'loadFromXML'
The error arises when calling this function:...
ANSWERAnswered 2021-Nov-17 at 09:50
the CUDA cascade classifier cannot read the output from the traincascade tool properly.
you either need to train an LBP cascade (instead of HAAR), or fall back to the 2.x haartraining tool.
A Linux newbie here. On Linux Mint, python 3.8, under Anaconda, trying to install opencv-contrib-python by...
ANSWERAnswered 2021-Nov-04 at 16:11
Removing Anaconda and working with the python supplied with my Linux distro solved the issue.
In docker multi-stage build, How do I prevent other stages running in parallel to a specific stage?
I have a multistage Dockerfile. one of the stages builds opencv stack....
ANSWERAnswered 2021-Nov-02 at 12:42
I am making a cross platform Java application that uses Computer Vision (OpenCV). I need to receive video from a webcam. Currently using standard OpenCV methods:...
ANSWERAnswered 2021-Oct-10 at 22:07
Again I answer my own question...
Thanks @ChristophRackwitz! After your question whether the camera works in python, I checked it (I don't know why I didn't do it before). And so, the camera in python (with opencv-contrib-python) works without problems, so I realized that the problem was with Java (JDK) itself.
I have JDK 8 installed with this commands:
I'm trying to run this code but it did not because I am not able to download this file from GitHub. Is there anyone who knows how I can download this file?
This is the link to the file with the filename
I'm getting this error when running my program:...
ANSWERAnswered 2021-Jun-12 at 21:14
Go to the main section of the GitHub repository: https://github.com/codingforentrepreneurs/OpenCV-Python-Series
- Press the code button and then download as zip.
- Unzip the file in your downloads.
- Navigate to
src/recognisersand the file
face-trainner.ymlshould be there.
- Use that file how you want in your project (discard of the rest if you have no need for it).
Also make sure that you have typed the correct file name in your program with the two 'n's (
I am trying to build OpenCV with external modules, but haven't been able to come up with a clean solution.
I have successfully built OpenCV using CMake (rules_foreign_cc). But to be able to build with external modules I need to download a separate repo (opencv_contrib) and then build using the path to the second repo as a build argument.
Is there a way I can do this without having to create a git repo of my own that combines these two git repos?...
ANSWERAnswered 2021-Jun-01 at 18:34
I'm currently working on opencv vers.
4.5.1 and I want to use SIFT and SURF but I run into the well known problem that they're patented. I already know that under
4.5.1 there is the possibility to use the flags
DBUILD_opencv_xfeatures2d=ON. But when I use the following command for cmake
ANSWERAnswered 2021-May-14 at 19:15
Build OpenCV with the following command:
No vulnerabilities reported
Select the opencv source code folder and the folder where binaries will be built (the 2 upper forms of the interface).
Press the configure button. You will see all the opencv build parameters in the central interface.
Browse the parameters and look for the form called OPENCV_EXTRA_MODULES_PATH (use the search form to focus rapidly on it).
Complete this OPENCV_EXTRA_MODULES_PATH by the proper pathname to the <opencv_contrib>/modules value using its browse button.
Press the configure button followed by the generate button (the first time, you will be asked which makefile style to use).
Build the opencv core with the method you chose (make and make install if you chose Unix makefile at step 6).
To run, linker flags to contrib modules will need to be added to use them in your code/IDE. For example to use the aruco module, "-lopencv_aruco" flag will be added.
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