Full YOLOv4 Pro Course Bundle [Video]

By Ritesh Kanjee
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  1. Introduction to the Course

About this video

This course is a perfect fit if you want to natively train your own YOLOv4 neural network. You’ll start off with a gentle introduction to the world of computer vision with YOLOv4, install darknet, and build libraries for YOLOv4 to implement YOLOv4 on images and videos in real-time.

You’ll even solve current and relevant real-world problems by building your own social distancing monitoring app and implementing vehicle tracking using the robust DeepSORT algorithm.

After that, you’ll learn more techniques and best practices/rules of how to take your Python implementations and develop GUIs for your YOLOv4 apps using PyQT.

Then, you’ll be labeling your own dataset from scratch, converting standard datasets into YOLOv4 format, amplifying your dataset 10x, and employing data augmentation to significantly increase the diversity of available data for training models, without collecting new data.

Finally, you’ll develop your own Mask Detection app to detect whether a person is wearing their mask and to flag an alert.

By the end of this course, you’d be able to implement and train your own custom CNNs with YOLOv4. It will help you in solving real-world problems, freelancing AI projects, getting that opportunity in AI, and tackling your research work by saving time and money. The world is your oyster; just start exploring the world once you have skills in AI.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Full-YOLOv4-Pro-Course-Bundle

Publication date:
October 2021
Publisher
Packt
Duration
4 hours 42 minutes
ISBN
9781803236780

About the Author

  • Ritesh Kanjee

    Augmented Startups, previously Arduino Startups, with over 42000+ students, has over 8 years in Printed Circuit Board (PCB) design as well in image processing and embedded control. Augmented Startups also has expertise in Augmented Reality and Artificial Intelligence in which he shall be introducing new technologies.

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Full YOLOv4 Pro Course Bundle [Video]
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