In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...
1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat, the output of an image ...
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 this tutorial, we will understand an important concept called "Selective Search" in Object Detection. We will also share OpenCV code in C++ and Python. Object Detection vs. Object ...
In this post, we will learn the details of the Histogram of Oriented Gradients (HOG) feature descriptor. We will learn what is under the hood and how this descriptor is calculated internally by ...
This is a multipart post on image recognition and object detection. In this part, we will briefly explain image recognition using traditional computer vision techniques. I refer to techniques that ...
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.
