- OpenCV is a open source library, which can be easily installed and is simple-to-use.

- It supports multiple languages like C, C++, Java and python.

- It supports multiple operating systems like Windows, Linux and Mac OS, iOS. Review collected by and hosted on G2.com.

Documentation is not that good. You can get information, not enough but. Review collected by and hosted on G2.com.

- It is open source, also easy to install and setup.

- Powerful API for face detection and image processing.

- Multiple language support. Review collected by and hosted on G2.com.

Frankly, no dislikes as it is the only one I rely on for image processing tasks, really a great computer vision library. Review collected by and hosted on G2.com.

The support for different programming languages. I used to use it with C, now as I shifted to Python still using the same for meeting the purpose. Review collected by and hosted on G2.com.

Documentation is not that good. New developer may face some problems while learning through documentation. Review collected by and hosted on G2.com.

A lot of high quality algorithms are available and due to the vast amount of users, it's easy to get help and find information, e.g. on stackoverflow Review collected by and hosted on G2.com.

The quality and style of the included algorithms varies quite a lot depending on original author. A more uniform "look and feel" and stricter rules about documentation for accepted algorithms would be appreciated. Review collected by and hosted on G2.com.

Feature matching, Feature detection and description is what I particularly like about it. Review collected by and hosted on G2.com.

It can get tricky with orb feature matching sometimes. Review collected by and hosted on G2.com.

It's ease of programming and flexibility to program in C++ or Python Review collected by and hosted on G2.com.

The installation process. But that's a one time thing. So it's fine.

Also the documentation has some room for improvement Review collected by and hosted on G2.com.

the new feature of dynamic dispatching is good, also it can now be built as C++ 11 library using the flag ENABLE_CXX11. Provides good support for basic shape detection e.g Circle,rectangle etc.The relative upgrade in OpenCV helps speed improvement in our core & imgproc perf tests. Review collected by and hosted on G2.com.

For images where lighting condition are not very good it may not work perfectly. POC for Text recognition ,result use to vary as per the picture quality and lighting condition. Review collected by and hosted on G2.com.

could work on multiple projects in interactive design and computer graphics Review collected by and hosted on G2.com.

very tough to integrate with any IDE

The libraries part

should develop their own IDE Review collected by and hosted on G2.com.

- Wonderful SDK for image processing

- It is used even in the academical world for research, so it is really a bleeding edge technology

- Since it's written in C++, it is performant and easily linkable to existing projects of any kind through bridges

- It has a really wide and detailed documentation

- There is a huge community, so it is easy to find tutorials or get help

- It has a really nice Python bridge that is wonderful to prototype your algorithms Review collected by and hosted on G2.com.

- I used it mainly with Swift, but since there isn't a proper bridge yet I had to rely on Objective-C++ to write a bridge to interact with my Swift code. It is ok, any iOS developer should be able to do the same, anyway it would be nice in the future to have a real Swift porting/bridge that leverage the power and expressiveness of the language.

- It is really low level, so if you need a quick solution it could require more time than expected to make it work. Review collected by and hosted on G2.com.

It's a great all in one tool for image processing. Review collected by and hosted on G2.com.

It feels slower and integrates less well into code than an equivalent image processing library Review collected by and hosted on G2.com.