Deep Drowsiness Detection using YOLO, Pytorch and Python

Want to leverage YOLO object detection for safety? One great implementation is using it to determine when drivers might be feeling a little drowsy. In this video we’re going to do exactly that using a fine tuned, customer object detection model powered by YOLO and PyTorch! In this video you’ll learn how to: 1. Instal Ultralytics YOLOv5 2. Detect Objects from Images 3. Detect Objects from Pre-Recorded Videos 4. Detect Objects in Real Time Using OpenCV 5. Fine Tuning a Drowsiness Model using YOLOv5 and PyTorch 6. Perform Real Time Drowsiness Detection Get the code: GitHub: Links Ultralytics YOLOv5: PyTorch Installation: COCO Classes: LabelImg: Chapters 0:00 - Start 0:48 - Introduction 1:18 - Gameplan 2:23 - How it Works 3:05 - Tutorial Start 4:12 - 1. Install and Import