OpenCv was basically developed for c++ and as the world progressed they transformed the library into python library.I have used its python library to perform various computer vision applications like gesture recognition ,face recognition,color tracking,eye ball tracking and many more and I was easily able to implement those using opencv library for python.It is very simple to use and just by viewing certain examples you can easily code your requirement. Review collected by and hosted on G2.com.

openCV is so far the best CV library for python so it has nothing to dislike about it. Review collected by and hosted on G2.com.

OpenCv was created for c++ and as the world advanced they changed the library into python library. I have utilized its python library to perform different PC vision applications like signal acknowledgment ,confront recognition, color tracking, eye ball following and numerous increasingly and I was effectively ready to actualize those utilizing open cv library for python. It is exceptionally easy to utilize and just by review certain illustrations you can without much of a stretch code your necessity. Review collected by and hosted on G2.com.

This is a great product so it is difficult to find things that I dislike. Review collected by and hosted on G2.com.

We've used OpenCV on a handful of projects. For each one, we've been able to accomplish a difficult Computer Vision (CV) task with relatively little engineering effort. This doesn't mean it hasn't taken any work, but that it's taken significantly less work and expertise than building a custom solution. Using OpenCV with an adapter like Cylon to a high-level language allows for rapid prototyping of ideas that include or rely on CV. Review collected by and hosted on G2.com.

OpenCV, when used with its native interface, is often difficult to implement against. You need a developer knowledgeable about CV and that also knows either C or C++. This is not easy to find in the current job market. In general, OpenCV paired with adapters to higher level languages alleviate this need. Particularly on the server side, working in node.js is very natural and allows the front and backend stack to stay in the same language. Review collected by and hosted on G2.com.

Open CV is the best computer vision library.There are many things which I like the most about open CV.You can easily track faces in a image.You can easily convert any image to grayscale for manipulation. You can also take any source such as a image or a video stream easily.You can easily track objects in an image and there are many more features about it.OpenCV is also available for python due to which you can combine the power of python with computer vision. Review collected by and hosted on G2.com.

OpenCV is best cross platform CV library and there is nothing to dislike about it. Review collected by and hosted on G2.com.

It provide everything needed for computer vision in machine learning or AI.You can easily detect the contours from the source and manipulate them according to your need.I have developed many programs using openCV.You can easily save image using imwrite or else similiarly read using imread from any local source.Also you can use live stream from camera as a source stream.You can easily convert any frame to b/w using openCV,So openCV is a perfect open source computer vision library according to me. Review collected by and hosted on G2.com.

Seriously openCv is like GOD to us because without openCV we will have to code each and every line required for CV so no other thing like openCV exists,it is best. Review collected by and hosted on G2.com.

Open CV provides tons of features that makes it very adaptable to almost every situations. For instance there is built in methods for the output of your neural networks, or for debugging image processing and so on and so forth. Moreover, classic tasks are made super easy, like face tracking, or even simply convert images to / from greyscale or any available image type (and there is a lot). Review collected by and hosted on G2.com.

The documentation could be better. It can be a hassle to find out what you should give exactly to some functions especially when you are working on the compatibility between two libraries. As it is low level coding, it can take quite a lot more time than expected to complete a task and ensure there is no side effects. Review collected by and hosted on G2.com.

The best part about OpenCV is that its open source. The main advtanges of using Open CV is that it supports Deep Learning frameworks TensorFlow, Torch/PyTorch and Caffe. Hardware acceleration is a handy feature along with support for multiple Operating Systems. Review collected by and hosted on G2.com.

Open CV is maintained on an older version of C so there are many limitations of its use. Other languages like C#, PERL, Ruby and Haskell require using wrappers. User interface can be improved too. Last stable release was 3 months ago and no major improvements have been made since then. Review collected by and hosted on G2.com.

OpenCV is a powerful computer vision toolkit that allowed me to quickly try computer vision concepts and algorithms hands-on. I was able to quickly ramp up my CV expertise as well as expand the possibilities of my interactive prototypes by using this well designed toolkit. I've been able to build interactive tabletops, kinect-based gesture interfaces, as well as simple image manipulation algorithms using this toolkit. Review collected by and hosted on G2.com.

The documentation of the toolkit could be improved by adding more visual examples, videos, and live try-it-yourself demos (very similar to W3Schools) where possible. Some of the matrix concepts can be daunting for someone who's not formally trained in Computer Graphics. Those concepts could be made easier. Review collected by and hosted on G2.com.

The community behind the project is excellent and do their best to provide quality support. Submitting issues is easy and are usually responded to quickly. Review collected by and hosted on G2.com.

Since this is a free project the support and documentation are usually not as good as a paid alternative, understandably so. Many tasks above the basic level require a lot of development and customization with varied results. Review collected by and hosted on G2.com.

It is open source.That is the biggest plus point in contrast to Matlab which also has great image processing functions. I use it all the time especially when I need to to rapid prototyping with python as openCV supports python Review collected by and hosted on G2.com.

The support is very limited.There is an online community but still very limited Review collected by and hosted on G2.com.