OpenCV AI Kit (OAK)

What do you like best about OpenCV?

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.

What do you dislike about OpenCV?
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.

What problems is OpenCV solving and how is that benefiting you?
OpenCV is a very powerful library that is being used for various tasks like Image Processing, Object detection, Image recognition, OCR and many more.
OpenCV has helped me :

1. In solving complex tasks in Kaggle competitions(Computer Vision). For example, Detecting digits/numbers in an image when the background is a checkerboard(black and white patches). Here, we had to modify the background into a desired one so that we could fetch the numbers using the contours function in OpenCV and then apply a model trained on the MNIST dataset to identify the number. It surely was a very interesting competition.

2. Also helped me in working with some real-world Face Recognition and Object detection tasks as well.