Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should check out [Kurokesu]’s example project for detecting pedestrians. It goes into detail on exactly what software is used, how it is configured, and how to train with a dataset.
The application uses a USB camera and the back end work is done with Darknet, which is an open source framework for neural networks. Running on that framework is the YOLO (You Only Look Once) real-time object detection system. To get useful results, the system must be trained on large amounts of sample…
Latest posts by Peter Bordes (see all)
- The Joy Of Properly Designed Embedded Systems - March 20, 2019
- Facebook Halts Ad Targeting Cited in Bias Complaints - March 20, 2019
- How to be a better boss, according to Google - March 20, 2019
More from Around the Web