Sundog Software’s subsidiary, Sundog Education, has released another new course: Autonomous Cars: Deep Learning and Computer Vision in Python!
I’ll be honest – we’re posting about it here mostly for SEO purposes. But, I bet a lot of you who are interested in real-time 3D computer graphics are also curious about the field of computer vision. This course delves into using Python’s OpenCV library for processing images, and doing things like detecting lane markings from the cameras on self-driving cars with edge detection algorithms. A wide variety of techniques for extracting objects (such as street signs and pedestrians) in images are covered using OpenCV, and it also shows how to use modern deep neural networks to classify objects in images as well. The Tensorflow library and its Keras API make this pretty easy to do!
An intro to machine learning is also included, so you can talk the same language as the engineers you might ultimately work with on autonomous vehicles. Some of the hottest employers are dabbling in this field, including Google, Apple, Tesla, Uber, and many more.
There are lots of hands-on examples using real images from real cars to work with. It’s a lot of fun, so please check it out!