Joseph Redmon: How computers learn to recognize objects instantly | TED Talk | TED.com
Posted by jpluimers on 2020/01/09
On my list of things to play with: [WayBack] Joseph Redmon: How computers learn to recognize objects instantly | TED Talk | TED.com
It is about the super fast YOLO (You Only Look Once) engine that runs a full frame through a neural network performing object classification for all objects.
It can classify many frames per second.
More links on how to install it and get going:
- [WayBack] YOLO: Real-Time Object Detection Detect Pascal VOC object categories using YOLO. The YOLO system uses a single neural network to directly predict bounding boxes and probabilities for an image. It’s fast and accurate, check it out!
- [WayBack] YOLO: Real-Time Object Detection You only look once (YOLO) is a state-of-the-art, real-time object detection system.
- [WayBack] YOLO: Real Time Object Detection · pjreddie/darknet Wiki · GitHub darknet – Convolutional Neural Networks
- [WayBack] Installing Darknet Darknet is easy to install and run. This post will guide you through it.
- [WayBack] Darknet: Open Source Neural Networks in C Darknet: Open Source Neural Networks in C.
- [WayBack] GitHub – pjreddie/darknet: Convolutional Neural Networks darknet – Convolutional Neural Networks
–jeroen
The Wiert Corner - irregular stream of stuff 
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