OpenCV Reviews & Product Details

What I like most about OpenCV is how powerful and flexible it is for working with images and videos. It provides a huge collection of algorithms for tasks like object detection, image processing and video analysis.

Another big advantage is that it’s open-source, so it’s widely used in both industry and research. Review collected by and hosted on G2.com.

The biggest downside is the learning curve. While it offers many features, understanding how to use them effectively, especially for advanced tasks, can be challenging for beginners. Review collected by and hosted on G2.com.

1. As a Data Scientist, I have to work on computer vision projects involving complex image processing tasks. The OpenCV library makes it easy to manipulate the image data as per our requirements.

2. It is fast and with a lot of inbuilt functionalities along with classical and State-of-the-art algorithms, which makes our job easier.

3. It has very good memory management which makes it efficient. Review collected by and hosted on G2.com.

I faced some issues while displaying images using the OpenCV library. It used to freeze the display window on my Macbook. Later I had to replace it with matplotlib. Other than this it has been a boon to us for all kinds of computer vision tasks. Review collected by and hosted on G2.com.

The first thing I like about OpenCV is, it's free of cost. I don't have to pay to use it. Another thing I like is it occupies very little memory. OpenCV wrote in C++ language, so it is swift. Using OpenCV, I can do many image-related operations like edge detection, masking, pattern matching, etc. I can use it in Python language, which is very easy. Review collected by and hosted on G2.com.

I don't like that if I wrote the code in an older version of the OpenCV package. And when I tried to use it in a newer version, then it threw me an error. So I have to check some functions to correct it. Review collected by and hosted on G2.com.

An image processing library that makes you feel like Hari Seldon when used with TensorFlow. An open-source library with many algorithms for image processing and machine learning. It is platform independent and has a bsd license. It has local binary pattern, fisher faces and eigenfaces algorithms ready for face scanning and face recognition. It was also used in interesting fields such as agriculture. Review collected by and hosted on G2.com.

I'm happy with Opencv, but sometimes it's slow. Review collected by and hosted on G2.com.

As a new start-up, open-source software is important because of its cost. Review collected by and hosted on G2.com.

improving the accuracy of image recognition Review collected by and hosted on G2.com.

Good question. I never got the chance to find out. Review collected by and hosted on G2.com.

I just tried getting started with OpenCV and immediately ran into trouble. This program works off the old DOS like shell, so goodbye using a GUI (graphical user interface). It takes over 200 GBytes to fit on the hard drive, so I couldn't put it on my C drive. The program doesn't like operating from any other drive and immediately failed. I'm really saddened that this OpenCV doesn't even work on my computer. I had saved my money to enroll in this course, only to be very disappointed. I hope I get my money back because I'm totally broke and have no job. Review collected by and hosted on G2.com.

We can easily use prebuilt classifiers and its opensource, which is awesome Review collected by and hosted on G2.com.

its hard to use because its different versions are different in syntax Review collected by and hosted on G2.com.

I love the fact that one can perform resizing, transformation, and many other image processing techniques on images with the use of simple functions. Sometimes, I even choose to edit my photos using OpenCV rather than commercial image editors. Review collected by and hosted on G2.com.

OpenCV is very perfect for me at the moment, I haven't had any reason to dislike it. Review collected by and hosted on G2.com.

In OpenCV, I primarily like the way it effortlessly detects the objects in a live image(from a camera module); image recognition is what I find quite better in OpenCV. Another feature of OpenCV is Color masking ad colour tracking, which I use a lot in my one the projects for differentiation if the objects in the image. It takes very less time to detect an object with optimum accuracy in OpenCV compared to other similar libraries. As it is written in Python integration ease and performance both are high. Review collected by and hosted on G2.com.

So far so best library for image recognition, and I have not complains using it til the date. Review collected by and hosted on G2.com.