Search Results for: mac os – Page 19
It gives me immense pleasure to announce the best project award for our online course “Computer Vision for Faces” (cv4faces). These awards are given out twice a year to the
In this tutorial, we will learn about facial landmark detection using OpenCV with no external dependencies. I have written several posts about Facial Landmark Detection and its applications. You can
In this post, we will share C++ and Python code for writing a barcode and QR code scanner using a library called ZBar and OpenCV. The Python code works in
A master wordsmith can tell a heart breaking story in just a few words. For sale: baby shoes, never worn. A great artist can do so much with so little!
In this post, we will learn about Principal Component Analysis (PCA) — a popular dimensionality reduction technique in Machine Learning. Our goal is to form an intuitive understanding of PCA
If you haven’t been to the Wizarding World of Harry Potter or don’t know what an ‘interactive wand’ is, you are kinda missing out on a really well designed experience
This is an old blog and some information might be obsolete. We have published new instructions. You can find them here: Setup exe installers for Windows Install OpenCV from source
In this article, we will learn about autoencoders in deep learning. We will show a practical implementation of using a Denoising Autoencoder on the MNIST handwritten digits dataset as an
The first batch of our course on Computer Vision for Faces has graduated and I am very excited to announce the Best Project Award for our course. It has a
In this post, we will introduce several new concepts associated with the general problem of classification involving more than two classes. This is sometimes referred to as multinomial regression or
In this article, we will learn about feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons. They form the basis of many important Neural Networks being used
In this tutorial, we will learn how to create a High Dynamic Range (HDR) image using multiple images taken with different exposure settings. We will share code in both C++
