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:
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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: What's 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
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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
Frequently Asked Questions
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