In this post, we will learn how to squeeze the maximum performance out of OpenCV's Deep Neural Network (DNN) module using Intel's OpenVINO toolkitpost, we compared the performance of OpenCV and other ...
In this post, we will compare the performance of various Deep Learning inference frameworks on a few computer vision tasks on the CPU. Surprisingly, with one exception, the OpenCV port of various ...
In a mobile environment like Android, if you choose OpenCV for production, one of your important goals is to bring down the size of the library and also make it performance ready. OpenCV is an ...
A few weeks back we published a post about Universal Sentence Encoders. We discussed how to use the encoders and their application in Semantic Similarity Analysis. In this post, we will use the ...
In this post, we will show how to use Hu Moments for shape matching. You will learn the following What are image moments?How are image moments calculated?What are Hu moment invariants (or Hu ...
OpenCV released OpenCV-3.4.4 and OpenCV-4.0.0 on 20th November. There have been a lot of bug fixes and other changes in these versions. The release highlights are as follows: OpenCV is now C++11 ...
Empowering innovation through education, LearnOpenCV provides in-depth tutorials, code, and guides in AI, Computer Vision, and Deep Learning. Led by Dr. Satya Mallick, we're dedicated to nurturing a community keen on technology breakthroughs.
