Updated April 18, 2023
Introduction to OpenCV contrib
OpenCV contrib is a specialized module present in the Python programming language, which is exclusively needed for the system to run SURF feature descriptions alongside the OpenCV module present in the open-source library. It must be noted that deserve algorithm is subjected to be encryption with copy rights, and hence it should only be used for learning and development processes or personal use and should not be used for any production purposes unless the copyright status of the module is completely understood and addressed by the user. OpenCV provides for pre-compiled Java jars and all files on their website.
However, if you use the pre-bundled OpenCV jar files and DLL files, you will get errors when working through the programs that are developed around the OpenCV tutorials. This is especially seen when dealing with the org.feature packages that will not be found and will prevent the quote from being compiled.
Syntax for inducting OpenCV contrib() on the system:
cmake - DOPEN CV _ EXTRA_MODULES_ PATH = < open cv _ contrib > / modules <opencv _ source _ directory >Please note, if the user has followed the above specified standard procedure for creating the build directory in the OpenCV folder created by the user, the below command needs to run if the above command does not prove to be useful.
mkdir build && cd buildcmake - D CMAKE _ BUILD _ TYPE = Release DOPENCV _ EXTRA _ MODULES _ PATH = < opencv _ contrib > / modules -D CMAKE _ INSTALL _ PREFIX = / usr / * local ..makeHow to Enable System to Use OpenCV contrib()?
In order to run the tutorial, we need to download the OpenCV source code from one of the licensed downloading websites, such as GitHub and OpenCV contract source code from GitHub.
Firstly, you have to create a folder called opt OpenCV workspace; well, we will check for the source code, which has to be downloaded and placed from the GitHub website or any other authenticated website to this folder location. This step has to be executed for both the OpenCV library as well as OpenCV contrib. You can also do the same by running a git clone.
Next, we will create a folder to build our code into it. The user can name it as anything (here – Build). We also need to create a text batch file that can be renamed as anything (Here – Build_OpenCV.bat); this step must be repeated every time the compiler needs to be run.
We need to firstly download the OpenCV contract what installing it into our system. Once it is downloaded, we need to save it to our folder in the C drive within our programs or a specific folder if needed. This file needs to be then further extracted for installing it into our system. In addition to the above, we also need to download the latest version available for the platform and install it on our system. Please note that it is important to add CMake to the system path while installing the platform into the system; once the installation is complete, open the CMake. It will provide a prompt for the source code which we want to build; go to the OpenCV folder that we created and choose the file that needs to be loaded.
Here we choose where to build the binaries and change the name you need to provide according to your preferences. Now you have to hit also configure, select the current Visual Studio that you would be using, and select the platform structure you will use and hit the finish and for configure. If all the information you have provided is correct, you will see a message to be prompted “configuration done” that ensures that configuring the system is complete.
Error Encountered After Installation
From the user is trying to install OpenCV for the Brighton programming language in addition to the modules using the Raspberry Pi system, the user might be one to follow the set of instructions that have been provided on the OpenCV website using different variations as per the requirement of the system, but while using the various methods for installing with trial and error methods, one has to configure how to concretely install pip 2 install the contract method in the OpenCV platform.
The OpenCV contract Python programming language can be stated to be in the pay package list and available on the python platform induction website. The user will need to run the pip3 installation upgrading the pip as PyPI as per the suggestions made on the page. The following error might be encountered if the user needs to try installing directly from the website link.
OpenCV contrib based on Python programming language consists of pre-existing Lee compiled binaries designed to work specifically for certain architectures only. The pip has been built only for x86_64 bits and x86 (with an exception for ARM builds, the reason for the requirement of Pi). The user also needs to be aware that the compilation for OpenCV has to be done by themselves as they are not invariably available in the binaries with respect to the air and processors.
Conclusion
The OpenCV contrib is a very versatile pre-existing library which is offered by the Python programming language and can also be installed for using in different programming languages such as Java and C++. This provides for pre-constructed functions which enable the user 2 use a Harry of different commands, which reduces the verbosity and increases the compilation time for complex programs for running various applications.
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