We take these M x N pixel grids and then apply algorithms to them, such as face detection and recognition, template matching, and even deep learning applied directly to the raw pixel intensities. Images are represented as a grid of pixels, in either single or multiple channels. Take a second, clear your mind, and consider how we represent images. This example will run on Python 2.7/Python 3.4+ and OpenCV 2.4.X/OpenCV 3.0+.
#Slic toolkit download code#
Looking for the source code to this post? Jump Right To The Downloads Section I’d be happy to discuss superpixels, I’m sure a ton of other PyImageSearch readers would be interested too.īut before we dive into some code, let’s discuss what exactly a superpixel is and why it has important applications in the computer vision domain. In one of Jitendra Malik’s YouTube videos, he explains superpixels. Opening my inbox, I found an excellent question from dedicated PyImageSearch reader Sriharsha Annamaneni, who wrote in and asked: Luckily, I woke up this morning to an email that practically cured me of my caffeine free woes and interminable eyelid twitching. And I don’t miss the occasional beer.īut man, these caffeine headaches are the worst. Which is a real challenge when you enjoy a frothy beer as much as I do. However, to combat this persistent, often distracting nuisance, I’ve started sleeping more regularly, drinking substantially less caffeine (I was only drinking two cups of coffee a day to begin with), and consuming next to no alcohol. As you can imagine, I’m not exactly happy. That’s currently what’s going on with me - and it’s been going on for over two weeks. Have you ever had a horrible case of eyelid twitching? One where your eyelid just won’t stop spazzing out, no matter what you do? Click here to download the source code to this post