Editor’s note: This post is part of the Silicon Valley Data Science Trainspotting series, a deep dive into the visual and audio detection components of the SVDS Caltrain project. Let them know your favorite part of the series and make comments on the original article here. The first step in developing our Caltrain project was creating a proof of […]
This was originally posted on the Silicon Valley Data Science blog. At Silicon Valley Data Science, we have a slight obsession with the Caltrain. Our interest stems from the fact that half of our employees rely on the Caltrain to get to work each day. We also want to give back to the community, and […]
Act I: Google Research Summer Internship 2011 Disclaimer: The following post was brought out of the archives on Andrej Karpathy’s blog for your viewing here. Hanging out at Google in 2011 The thread of this paper begins in Summer of 2011, when I accepted a summer internship offer from Google Research. My project involved Deep Learning for videos, as […]
This is a long overdue blog post on Reinforcement Learning (RL). RL is hot! You may have noticed that computers can now automatically learn to play ATARI games (from raw game pixels!), they are beating world champions at Go, simulated quadrupeds are learning to run and leap, and robots are learning how to perform complex manipulation […]
In a few lines of Python, Adrian Rosebrock, a computer vision expert, shows how to stitch together two photos of a landscape into one large panorama using OpenCV. The process involves: detecting key points, matching descriptors, estimating a homographic matrix with the RANSAC algorithm, and finally applying a warping transformation.
This may be why self-driving cars will be safer than human driven ones. Using OpenCV and Python and the fact that we all have a head, two arms, a torso, and two legs, Adrian Rosebrock, a Computer Vision & Machine Learning expert, guides us through pedestrians detection with impressive results. He explains methodologies such as […]
Adrian Rosebrock (@PyImageSearch) is an expert in computer vision. In this blog post Rosebrock creates a dataset out of Time magazine’s covers from the 1920s to now and exposes some interesting findings using python and the opencv image processing package. An excellent python script is given and explained. This is a great post that combines creating […]