YOLOv4 Starter Course - Introduction
  • Introduction to the Course
  • How to take this course & Join the Private Facebook Group
  • YOLOv4 Theory
  • YOLOv4 Theory Quiz -
  • YOLOv4 Prerequisites: Installations of Anaconda Python, Open CV etc.
  • YOLOv4 Object Detection on Image and Video
  • Detect Objects on Images and Video
  • Darknet Code Explanation YOLOv4 on Webcam
  • Social Distancing Monitoring App
  • Social Distancing Monitoring Exercise
  • Lecture 8: Count Parked Cars
  • Lecture 9: DeepSORT Intuition - How DeepSORT Object Tracking Works
  • Lecture 10: Robust Tracking with YOLOv4 and DeepSORT
  • [Bonus] YOLOv5 Chess Piece Detection - Video
  • [Bonus] Bernie Sanders Detector
  • [Bonus] YOLOV4 on Ubuntu
  • [ADDITIONAL LECTURE] YOLOv5 Controversy - Is YOLOv5 Real?
  • [ADDITIONAL LECTURE] YOLOv1 - YOLOv3 Evolution
  • Bonus Lecture
YOLOv4 Trainers Course
  • Lecture 1: Introduction to Data Annotation - Video
  • Lecture 2: YOLOv4 format for Image Labelling
  • Lecture 3: YOLOv4 Labelling Tools
  • Lecture 4: Web-scaping Data
  • Lecture 5: Annotating Images with LabelImg
  • Activity 1: Label Objects on this image
  • Lecture 6: Labelling on Video using LabelImg
  • Lecture 7: Labelling on Video Using Darklabel
  • Activity 2: Label Objects on this Video
  • Lecture 8: Annotation Summary
  • Lecture 9: Data Annotation Key Take-away
  • Lecture 9: Introduction How to Create Custom Dataset
  • Lecture 10: Toolkit for Downloading Image Datasets
  • Lecture 11: Downloading Images from Specific Classes
  • Activity 3: Download Images for your Classes
  • Lecture 12: Converting Downloaded Files to YOLOv4 format
  • Lecture 13: Data Augmentation using Rotational Transform
  • Lecture 14: Summary - Key Takeaways for Custom Datasets
  • Lecture 15: Introduction to Training YOLOV4 with DarkNet Framework
  • Lecture 16: Step 1 - Configuring the files for Training
  • Lecture 17: Step 2 - Creating the obj.names file
  • Lecture 18: Step 3 - Dataset Placement for Training
  • Lecture 19: Step 4 - Train Test metafiles
  • Lecture 20: Step 5 - Training YOLOv4
  • Lecture 21: Trained YOLOv4 Execution on Image and Video for Mask Detection
  • Activity 5: Train on your own dataset
  • Lecture 22: When to Stop Training
  • Lecture 23: Summary - Key Takeaways
YOLOv4 PyQT Course
  • Lecture 1: Introduction to Object Detection with PyQt
  • Lecture 2: Installing PyQt
  • Lecture 3: GUI Layout using PyQt Designer
  • Lecture 4: Integrating PyQt with YOLOv4
  • Lecture 5: Code Explanation
  • Lecture 6: Adding GUI Widgets - Counting Objects
  • Lecture 7: Adding Widgets - Slider Threshold
  • Lecture 8: Adding Widgets - Class Filter using Checkbox Widget
  • Lecture 9: Adding Widgets - Real-Time Live Plot Graph Widget
  • Lecture 10: Social Distancing in PyQt Activity
  • Lecture 11: Conclusion
  • Bonus Section: Facial Recognition Attendance GUI - PyQt_Course
  • Bonus Lecture - Where to from here - YOLOR