You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Last updated on July 9, 2021. So, here I am. Riding the Amtrak 158 train, coming home after a long business trip. It’s hot. The AC is barely working. A baby is screaming right next to me while the accompanying…
Read More of OpenCV and Python Color Detection
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? That’s currently what’s going on with me — and it’s been going on for over two…
Read More of Segmentation: A SLIC Superpixel Tutorial using Python
A few days ago, I got an email from a PyImageSearch reader asking about circle detection. See below for the gist: Hey Adrian, Love your blog. I saw your post on detecting rectangles/squares in images, but I was wondering, how…
Read More of Detecting Circles in Images using OpenCV and Hough Circles
So you’ve extracted color histograms from a set of images… But how are you going to compare them for similarity? You’ll need a distance function to handle that. But which one? How you choose? And how do you compare histograms…
Read More of How-To: 3 Ways to Compare Histograms using OpenCV and Python
Ever see A Scanner Darkly? The movie was shot digitally, but then an animated feel was given to it in the post-processing steps — but it was a painstaking process. For each frame in the movie, animators traced over the…
Read More of Color Quantization with OpenCV using K-Means Clustering
About a month ago, I spent a morning down at the beach, walking along the sand, letting the crisp, cold water lap against my feet. It was tranquil, relaxing. I then took out my iPhone and snapped a few photos…
Read More of Super fast color transfer between images
I have some big news to announce today… Besides writing a ton of blog posts about computer vision, image processing, and image search engines, I’ve been behind the scenes, working on a second book. And you may be thinking, hey,…
Read More of Announcing “Case Studies: Solving real world problems with computer vision”
In my last post, I mentioned that tiny, one pixel shifts in images can kill the performance your Restricted Boltzmann Machine + Classifier pipeline when utilizing raw pixels as feature vectors. Today I am going to continue that discussion. And…
Read More of Applying deep learning and a RBM to MNIST using Python
Can you tell the difference between the two images above? Probably not. The one on the right has been shifted one pixel down. And while it still looks like the same image to us, to a Restricted Boltzmann Machine, this…
Read More of How 1 pixel shifts in images can kill your RBM performance
