Learn OpenCV- Build # 30 Apps with OpenCV, YOLOv8 YOLO-NAS

Learn OpenCV: Build # 30 Apps with OpenCV, YOLOv8 & YOLO-NAS, available at $94.99, has an average rating of 4.24, with 87 lectures, based on 138 reviews, and has 1222 subscribers.

You will learn about Understand basics of OpenCV Use OpenCV to work with Image and Video Files Apply different image processing techniques with OpenCV including Blurring, Dilation, Erosion, Edge Detection, Finding and Drawing Contours, Warp Perspective Use Haar Cascades Classifiers to Detection Face, License Plate etc Use OpenCV to create Real-World Applications including Optical Mark Recognition, Lane Detection, QR & Bar Code Detection, Object Size Measurement etc Use OpenCV to create Advanced Projects/ Applications including Basket Ball Shot Predictor, Parking Space Counter, Pong Game using Hand Gestures, Gesture Vol Cnt Understand the fundamentals of Object Detection and learn how to use YOLO Algorithm to do Object Detection with YOLOv8 and YOLO-NAS Understand the basics of Object Segmentation and learn how to do Object Segmentation with YOLOv8 and how to train YOLOv8 Segmentation Model on Custom Data Understand the Basics of Object Tracking and how to integrate the SOTA Object Tracking Algorithms i.e. SORT and DeepSORT with YOLOv8 and YOLO-NAS Build Real World Applications with YOLOv8 and YOLO-NAS including Potholes Detection, Personal Protective Equipment Detection, Vehicles Intensity Heatmaps etc Learn Optical Character Recognition and create different apps i.e. License Plate Detection and Recognition, Multi-Cam License Plate Detection and Recognition, Use Object Detection and Object Tracking Algorithms to create different Real World Applications including Vehicles Counting (Entering & Leaving) using YOLO-NAS Learn how to integrate Object Tracking with an Object Detection Model trained on a Custom Dataset Learn how to detection Grocery Items in a Retail Store with YOLO-NAS. Understand the Segment Anything Model (SAM) and how to do Image and Video Segmentation with YOLO-NAS and Segment Anything Model (SAM) Understand the Basics of Pose Estimation and Learn how to implement Pose Estimation using OpenCV and MediaPipe Create Real World Applications using OpenCV and MediaPipe including Bicep Curl Counter and Push-Ups Counter This course is ideal for individuals who are For Everyone who is interested in Computer Vision or For Everyone who wants to learn the OpenCV and latest YOLOv8 and YOLO-NAS version or For Everyone who study Computer Vision and want to know how to use YOLO for Object Detection or For Everyone who aims to build Deep learning Apps with Computer Vision It is particularly useful for For Everyone who is interested in Computer Vision or For Everyone who wants to learn the OpenCV and latest YOLOv8 and YOLO-NAS version or For Everyone who study Computer Vision and want to know how to use YOLO for Object Detection or For Everyone who aims to build Deep learning Apps with Computer Vision.

Enroll now: Learn OpenCV: Build # 30 Apps with OpenCV, YOLOv8 & YOLO-NAS

Summary

Title: Learn OpenCV: Build # 30 Apps with OpenCV, YOLOv8 & YOLO-NAS

Price: $94.99

Average Rating: 4.24

Number of Lectures: 87

Number of Published Lectures: 87

Number of Curriculum Items: 87

Number of Published Curriculum Objects: 87

Original Price: $44.99

Quality Status: approved

Status: Live

What You Will Learn

Understand basics of OpenCV

Use OpenCV to work with Image and Video Files

Apply different image processing techniques with OpenCV including Blurring, Dilation, Erosion, Edge Detection, Finding and Drawing Contours, Warp Perspective

Use Haar Cascades Classifiers to Detection Face, License Plate etc

Use OpenCV to create Real-World Applications including Optical Mark Recognition, Lane Detection, QR & Bar Code Detection, Object Size Measurement etc

Use OpenCV to create Advanced Projects/ Applications including Basket Ball Shot Predictor, Parking Space Counter, Pong Game using Hand Gestures, Gesture Vol Cnt

Understand the fundamentals of Object Detection and learn how to use YOLO Algorithm to do Object Detection with YOLOv8 and YOLO-NAS

Understand the basics of Object Segmentation and learn how to do Object Segmentation with YOLOv8 and how to train YOLOv8 Segmentation Model on Custom Data

Understand the Basics of Object Tracking and how to integrate the SOTA Object Tracking Algorithms i.e. SORT and DeepSORT with YOLOv8 and YOLO-NAS

Build Real World Applications with YOLOv8 and YOLO-NAS including Potholes Detection, Personal Protective Equipment Detection, Vehicles Intensity Heatmaps etc

Learn Optical Character Recognition and create different apps i.e. License Plate Detection and Recognition, Multi-Cam License Plate Detection and Recognition,

Use Object Detection and Object Tracking Algorithms to create different Real World Applications including Vehicles Counting (Entering & Leaving) using YOLO-NAS

Learn how to integrate Object Tracking with an Object Detection Model trained on a Custom Dataset

Learn how to detection Grocery Items in a Retail Store with YOLO-NAS.

Understand the Segment Anything Model (SAM) and how to do Image and Video Segmentation with YOLO-NAS and Segment Anything Model (SAM)

Understand the Basics of Pose Estimation and Learn how to implement Pose Estimation using OpenCV and MediaPipe

Create Real World Applications using OpenCV and MediaPipe including Bicep Curl Counter and Push-Ups Counter

Who Should Attend

For Everyone who is interested in Computer Vision

For Everyone who wants to learn the OpenCV and latest YOLOv8 and YOLO-NAS version

For Everyone who study Computer Vision and want to know how to use YOLO for Object Detection

For Everyone who aims to build Deep learning Apps with Computer Vision

Target Audiences

For Everyone who is interested in Computer Vision

For Everyone who wants to learn the OpenCV and latest YOLOv8 and YOLO-NAS version

For Everyone who study Computer Vision and want to know how to use YOLO for Object Detection

For Everyone who aims to build Deep learning Apps with Computer Vision

Welcome to the Course, we will start with the basics of OpenCV. From there, we’ll dive into creating real-world applications using OpenCV.  Next up, we’ll explore different Object Detection Algorithms  i.e. YOLOv8 and YOLO-NAS. We will create different applications using YOLOv8 and YOLO-NAS. In this course, we’ll not only implement Object Tracking from scratch using OpenCV but also explore top-notch Object Tracking Algorithms like SORT and DeepSORT.  Moreover, we’ll also focus on Pose Estimation in this course as well. With the help of MediaPipe and OpenCV, we’ll uncover the secrets of estimating poses. We’ll apply this knowledge to develop practical applications, such as a Bicep Curl Counter and Push-Ups Counter, bringing your skills to life.

This course covers all this and more, including the following topics:

Basics of OpenCV.

Different image processing techniques with OpenCV including Blurring, Dilation, Erosion, Edge Detection, Finding  and Drawing Contours,  Warp Perspective.

Haar Cascades Classifiers to Detection Face, License Plate etc.

Using OpenCV to create Real-World Applications including Optical Mark Recognition, Lane Detection,  QR & Bar Code Detection, Object Size Measurement etc.

Using OpenCV to create Advanced Projects/ Applications including Basket Ball Shot Predictor, Parking Space Counter, Pong Game using Hand Gestures, Gesture Volume Control.

Fundamentals of  Object Detection and  how to use YOLO Algorithm to do Object Detection with YOLOv8 and YOLO-NAS.

Basics of Object Segmentation and learn how to do Object Segmentation with YOLOv8  and how to train YOLOv8  Segmentation Model on Custom Data.

Basics of Object Tracking and how to integrate the SOTA Object Tracking Algorithms i.e. SORT and DeepSORT with YOLOv8 and YOLO-NAS.

Build Real World Applications with YOLOv8 and YOLO-NAS including Potholes Detection, Personal Protective Equipment Detection,  Vehicles Intensity Heatmaps etc.

Basics of Optical Character Recognition and create different apps i.e. License Plate Detection and Recognition, Multi-Cam License Plate Detection and Recognition.

Using Object Detection and Object Tracking Algorithms to create different Real World Applications including  Vehicles Counting (Entering & Leaving) using YOLO-NAS.

Integrate Object Tracking with an Object Detection Model trained on a Custom Dataset.

Grocery Items in a Retail Store with YOLO-NAS.

Understand the Segment Anything Model (SAM) and how to do Image and Video Segmentation with YOLO-NAS and Segment Anything Model (SAM).

Basics of Pose Estimation and Learn how to implement Pose Estimation using OpenCV and MediaPipe.

Create Real World Applications using OpenCV and MediaPipe including Bicep Curl Counter and Push-Ups Counter.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installations

Chapter 2: Introduction to OpenCV

Lecture 1: Introduction

Lecture 2: Basic Functions

Lecture 3: Resizing and Cropping

Lecture 4: Shapes and Texts

Lecture 5: Warp Perspective

Lecture 6: Joining Images

Lecture 7: Color Detection

Lecture 8: Drawing Contours and Shape Detection

Lecture 9: Face Detection using OpenCV

Lecture 10: Number Plate Detection using OpenCV

Lecture 11: Document Scanner using OpenCV

Chapter 3: OpenCV Projects

Lecture 1: Detect Mouse Clicks on an Image and Creating a Warp Perspective

Lecture 2: QR Code and Bar Code Detection

Lecture 3: Lane Detection

Lecture 4: Object Size Measurement using OpenCV

Lecture 5: OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python – Part 1

Lecture 6: OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python – Part 2

Lecture 7: OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python – Part 3

Lecture 8: OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python – Part 4

Lecture 9: OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python – Part 5

Lecture 10: OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python – Part 6

Chapter 4: Advanced OpenCV Projects

Lecture 1: Basketball Shot Predictor

Lecture 2: Parking Space Counter using OpenCV

Lecture 3: Pong Game using Hand Gestures | OpenCV | Python

Lecture 4: Gesture Volume Control using OpenCV

Chapter 5: YOLOv8

Lecture 1: Introduction to YOLO

Lecture 2: Overview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNN

Lecture 3: Introduction to YOLOv8

Lecture 4: Objects Detection with YOLOv8 – Google Colab

Lecture 5: Read and Display an Image using OpenCV

Lecture 6: Read and Display a Video using OpenCV

Lecture 7: Read, Write and Display a video using OpenCV

Lecture 8: Capture Video from Camera using OpenCV

Lecture 9: Object Detection on Images using YOLOv8

Lecture 10: Object Detection on Videos using YOLOv8

Lecture 11: Object Detection in Real Time with Webcam using YOLOv8

Lecture 12: Object Tracking from Scratch with YOLOv8 and OpenCV Part 1

Lecture 13: Object Tracking from Scratch with YOLOv8 and OpenCV Part 2

Lecture 14: Object Tracking from Scratch with YOLOv8 and OpenCV Part 3

Lecture 15: Object Tracking from Scratch with YOLOv8 and OpenCV Part 4

Lecture 16: Object Tracking from Scratch with YOLOv8 and OpenCV Part 5

Lecture 17: Object Tracking from Scratch with YOLOv8 and OpenCV Part 6

Lecture 18: Predict Trajectory of a Basket Ball with Kalman Filter Part 1

Lecture 19: Predict Trajectory of a Basket Ball with Kalman Filter Part 2

Lecture 20: Predict Trajectory of a Basket Ball with Kalman Filter Part 3

Chapter 6: Training Custom YOLOv8

Lecture 1: Personal Protective Equipment (PPE) Detection| Google Colab| Part 1

Lecture 2: PPE Detection Part 2| Live Webcam Testing

Chapter 7: YOLOv8 Object Segmentation

Lecture 1: YOLOv8 Segmentation

Lecture 2: Run YOLOv8 Segmentation on Google Colab

Lecture 3: YOLOv8 Segmentation on Custom Dataset | Potholes Segmentation | Part 1

Lecture 4: YOLOv8 Segmentation on Custom Dataset | Potholes Segmentation | Part 2

Lecture 5: YOLOv8 Segmentation on Custom Dataset | Potholes Segmentation | Part 3

Chapter 8: YOLO-NAS

Lecture 1: YOLO-NAS : A New Foundation Model for Object Detection

Lecture 2: Whats New in YOLO-NAS | Is YOLO-NAS the Future of Object Detection?

Lecture 3: Object Detection with YOLO-NAS – Google Colab

Lecture 4: Read and Display Image using OpenCV

Lecture 5: Read and Display Video using OpenCV

Lecture 6: Read Display and Write Video using OpenCV

Lecture 7: Capture Video from Camera using OpenCV

Lecture 8: Object Detection on Images using YOLO-NAS

Lecture 9: Object Detection on Videos using YOLO-NAS

Lecture 10: Object Tracking using YOLO-NAS and SORT Algorithm

Lecture 11: Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking

Lecture 12: Object Tracking using YOLO-NAS and SORT on Custom Dataset (Ship Detection)

Lecture 13: Introduction to Object Tracking using YOLO-NAS and DeepSORT Algorithm

Lecture 14: Object Tracking using YOLO-NAS and DeepSORT Algorithm

Lecture 15: Object Tracking with YOLO-NAS and DeepSORT Custom Dataset (Vehicles Detection)

Chapter 9: YOLO-NAS Apps

Lecture 1: Potholes Detection using YOLO-NAS

Lecture 2: Grocery Items Detection in a Retail Store with YOLO-NAS

Lecture 3: Personal Protective Equipment (PPE) Detection using YOLO-NAS

Lecture 4: Vehicle Intensity Heatmaps | YOLO-NAS | Intro

Lecture 5: Vehicle Intensity Heatmaps | YOLO-NAS | Complete Tutorial

Chapter 10: Image and Video Segmentation using YOLO-NAS and Segment Anything Model (SAM)

Lecture 1: Image and Video Segmentation using YOLO-NAS and Segment Anything Model (SAM)

Chapter 11: Optical Character Recognition – Text Detection with Tesseract, Paddle & Easy OCR

Lecture 1: Install Tesseract-OCR

Lecture 2: Read Text from Image using Tesseract OCR

Lecture 3: Detecting Characters from Image using Tesseract OCR

Lecture 4: Detecting Words from Image using Tesseract OCR

Lecture 5: Text Detection with PaddleOCR

Lecture 6: Text Recogniton with PaddleOCR

Lecture 7: License Plate Detection and Recognition with YOLO-NAS and Paddle OCR

Lecture 8: License Plate Detection and Recognition with YOLO-NAS and Tesseract OCR

Lecture 9: Multi-Cam Number Plate Detection and Recognition with YOLO-NAS and EasyOCR

Chapter 12: Pose Estimation

Lecture 1: Pose Estimation using OpenCV and MediaPipe

Lecture 2: Bicep Curl Counter with OpenCV and MediaPipe

Lecture 3: Push-Ups Counter with OpenCV and MediaPipe

Instructors

Muhammad Moin
Instructor

Rating Distribution

1 stars: 4 votes

2 stars: 2 votes

3 stars: 13 votes

4 stars: 25 votes

5 stars: 94 votes

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