OpenCV configuration issue, why does openCV get an error when installing it?

I use yes.

Just include the lib folder in the open installation directory to the lib directory of the vc.

Hehe, if not, you may need to recompile it.

good luck

I've also encountered the same problem, you try it first: copy all the contents of the bin folder in the installation directory to C: Windows System32, and the problem is enough to solve.

The steps to install and configure OpenCV are as follows:

2.Configure environment variables: Configure environment variables in the system properties to use OpenCV.

You need to add the bin directory of OpenCV to the environment variable path. This way, when you run the opencv command, the system will be able to find the corresponding file.

3.Configure the project: Configure the OpenCV library and header file path in your IDE. This way, when you call the OpenCV function, the system will find the corresponding libraries and header files.

4.Test**: Write a test program that runs and verifies that OpenCV is working properly.

The above profile is the main step to install and configure OpenCV. Please note that different operating systems may vary, so please adjust the specific steps according to your operating system and version.

Why install opencvAn error will be reported.

Hello, there are a variety of errors that may occur when installing OpenCV, which can be caused by a variety of factors such as the system environment, compiler, library files, paths, etc. Here are a few examples of possible error scenarios:1

Missing dependencies: OpenCV relies on many third-party libraries, such as libjpeg, libpng, libtiff, libjasper, etc., and if these libraries are not installed or the path is set incorrectly, there will be a missing dependency error. 2.

Compiler incompatibility: OpenCV can be compiled using a variety of compilers, and there may be incompatibilities between different compilers with a high number, so you need to choose the right compiler. 3.

Version mismatch: The version of OpenCV is related to the system environment, compiler, dependent libraries, etc., and if the version does not match, various errors will also occur. 4.

The path is set incorrectly: The installation path, library and header file path of OpenCV need to be set correctly, otherwise the relevant files cannot be found during compilation or runtime, and an error will occur. 5.

System environment issues: Some operating systems or software versions may be incompatible with OpenCV and need to be adjusted on a case-by-case basis. In conclusion, there are various factors that need to be paid attention to when installing OpenCV and make appropriate adjustments according to the specific situation to avoid errors.

About the learning method of OpenCV.

1.Prepare the study materials, at that time I used the book "Learning OpenCV" - Yu Shiqi et al. - Tsinghua University Press. In fact, it is also said, similar to a translation manual, students who have the ability can read the English manual that comes with OpenCV, which is in the installation directory of OpenCV, and the format is doc or pdf version;

2.After configuring the environment of OpenCV, it is recommended to operate under the Windows platform at the beginning, so that it is quick to get started, and then go to Linux to operate; In VC6, you need to use the version, this version does not support the CV namespace; In the later VS platform, almost all OpenCV versions can be used;

3.Running program: definitely start to do the reading of the image, display; Then carry out grayscale, binarization, flipping, rotation, ROI and other operations of the image; It's best to try to draw some line points and the like by reading the **pixel value with a pointer on the image, so that you will have a deeper understanding of the image data format of OpenCV;

4.After doing step 3, you have entered the hall of opencv, and the following is to read more documents, study more, and communicate more; It's not a matter of a day or two, it's hard work and you need to persevere.

OpenCV is just a tool that implements many useful algorithms in the field of computer vision.

Before learning OpenCV, please learn the basics of computer vision, and it is recommended to learn at least one theoretical book on computer vision and one theoretical book on image processing.

With the above basic theoretical foundation, and then learn OpenCV, you can watch the tutorial, but more should be to see the sedan car test documents. The reference documentation of opencv is very complete, and if you don't understand Kaishou, you can search on the Internet again, and you have to grasp what is the use of this function, under what circumstances, and what is the input and output to learn.

In addition, about and above versions.

I recommend that beginners start with a lot of MAT, as some functions are difficult for novices to understand.

In fact, the version is strong enough, I have done a lot of projects, all of them are used, for newbies, it is enough for you to gnaw for a year. Of course, there are many algorithms in the above version, but in fact, many algorithms are rarely used. So it's a good idea to start with.