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Full YOLOv4 Pro Course Bundle
Full YOLOv4 Pro Course Bundle

Full YOLOv4 Pro Course Bundle: Become a professional YOLOv4 AI object detection developer in 2 weeks

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Profile Icon Ritesh Kanjee
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Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2 (1 Ratings)
Video Oct 2021 4hrs 42mins 1st Edition
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Profile Icon Ritesh Kanjee
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Free Trial
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2 (1 Ratings)
Video Oct 2021 4hrs 42mins 1st Edition
Video
NZ$14.99 NZ$29.99
Subscription
Free Trial
Video
NZ$14.99 NZ$29.99
Subscription
Free Trial

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Key benefits

  • Social distancing app to calculate the distance between people to determine if they are at risk
  • Object counting app for counting cars in a parking lot and DeepSORT to track vehicles in traffic
  • Mask detection app to detect whether or not a person is wearing a mask; if not, flagging an alert

Description

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

Who is this book for?

This course is for developers, researchers, and students who have at least some programming experience and want to become proficient in AI for computer vision and visual recognition. An individual with machine learning knowledge and who wants to break into neural networks or AI for visual understanding, a scientist looking to apply deep learning + computer vision algorithms, individuals looking to utilize computer vision algorithms in their own projects will highly benefit from this course. A high-range PC/laptop, Windows 10, and CUDA Nvidia GPU graphics card are pre-requisites.

What you will learn

  • YOLOv4 detection on images
  • Execute YOLOv4 detection on videos and webcam
  • How to natively train your own custom YOLOv4 detector
  • Prepare files to train and set up configuration files
  • Integrate YOLOv4 with PyQT
  • Social distancing GUI with PyQT

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 26, 2021
Length: 4hrs 42mins
Edition : 1st
Language : English
ISBN-13 : 9781803236780
Category :
Languages :
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What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Oct 26, 2021
Length: 4hrs 42mins
Edition : 1st
Language : English
ISBN-13 : 9781803236780
Category :
Languages :
Tools :

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Table of Contents

7 Chapters
Introduction to the Course Chevron down icon Chevron up icon
Object Detection with YOLOv4 Chevron down icon Chevron up icon
YOLOv4 Starter Summary Chevron down icon Chevron up icon
Labelling a New Dataset in YOLOv4 Format Chevron down icon Chevron up icon
Creating Custom Dataset in YOLOv4 Format Chevron down icon Chevron up icon
Training YOLOv4 Using Darknet Framework Chevron down icon Chevron up icon
PyQT User Interface for Object Detection with YOLOv4 Chevron down icon Chevron up icon

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