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

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Muhammad Moin

24:43:25

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1. Introduction

1. Introduction.mp4

03:41

2. Installations.mp4

02:47

2. Introduction to OpenCV

1.1 Section 01 R.zip

1. Introduction.mp4

19:19

2. Basic Functions.mp4

18:30

3.1 Section 01 R.zip

3. Resizing and Cropping.mp4

12:02

4.1 Section 01 R.zip

4. Shapes and Texts.mp4

09:49

5. Warp Perspective.mp4

11:45

6.1 Section 01 R.zip

6. Joining Images.mp4

07:00

7.1 Section 01 R.zip

7. Color Detection.mp4

13:03

8.1 Section 01 R.zip

8. Drawing Contours and Shape Detection.mp4

22:34

9.1 Section 01 R.zip

9. Face Detection.mp4

09:12

10. Number Plate Detection.mp4

12:29

11.1 Section 01 R.zip

11. Document Scanner.mp4

34:09

3. OpenCV Projects

1.1 Section 02 R.zip

1. Detect Mouse Clicks on an Image and Creating a Warp Perspective.mp4

23:07

2.1 Section 02 R.zip

2. QR Code and Bar Code Detection.mp4

24:26

3. Lane Detection.mp4

17:42

4.1 Section 02 R.zip

4. Object Size Measurement using OpenCV.mp4

39:34

5.1 Project Optical Mark Recognition Recording.zip

5. OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python - Part 1.mp4

11:08

6.1 Project Optical Mark Recognition Recording.zip

6. OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python - Part 2.mp4

12:24

7.1 Project Optical Mark Recognition Recording.zip

7. OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python - Part 3.mp4

13:03

8.1 Project Optical Mark Recognition Recording.zip

8. OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python - Part 4.mp4

15:22

9.1 Project Optical Mark Recognition Recording.zip

9. OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python - Part 5.mp4

16:17

10.1 Project Optical Mark Recognition Recording.zip

10. OPTICAL MARK RECOGNITION (OMR) MCQ Automated Grading- OpenCV Python - Part 6.mp4

10:45

4. Advanced OpenCV Projects

1.1 Basket Ball Shot Predictor Recording.zip

1. Basketball Shot Predictor.mp4

53:25

2.1 Project Parking Space Counter Recording.zip

2. Parking Space Counter using OpenCV.mp4

44:18

3.1 Project Pong Game Recording.zip

3. Pong Game using Hand Gestures OpenCV Python.mp4

01:07:08

4.1 Project Gesture Volume Control Recording.zip

4. Gesture Volume Control using OpenCV.mp4

46:09

5. YOLOv8

1. Introduction to YOLO.mp4

20:42

2. Overview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNN.mp4

23:29

3. Introduction to YOLOv8.mp4

08:14

4.1 demo.mp4

00:43

4.2 image1.zip

4.3 yolov8 complete tutorial final.zip

4.4 yolov8 complete tutorial.zip

4. Objects Detection with YOLOv8 - Google Colab.mp4

25:20

5.1 Object Tracking OpenCV Recording.zip

5. Read and Display an Image using OpenCV.mp4

12:09

6. Read and Display a Video using OpenCV.mp4

08:42

7. Read, Write and Display a video using OpenCV.mp4

05:02

8. Capture Video from Camera using OpenCV.mp4

02:56

9.1 Object Tracking OpenCV Recording.zip

9. Object Detection on Images using YOLOv8.mp4

07:57

10. Object Detection on Videos using YOLOv8.mp4

19:22

11. Object Detection in Real Time with Webcam using YOLOv8.mp4

04:11

12.1 Object Tracking OpenCV Recording.zip

12. Object Tracking from Scratch with YOLOv8 and OpenCV -- Part 1.mp4

09:44

13. Object Tracking from Scratch with YOLOv8 and OpenCV -- Part 2.mp4

12:25

14.1 Object Tracking OpenCV Recording.zip

14. Object Tracking from Scratch with YOLOv8 and OpenCV -- Part 3.mp4

08:29

15. Object Tracking from Scratch with YOLOv8 and OpenCV -- Part 4.mp4

07:32

16. Object Tracking from Scratch with YOLOv8 and OpenCV -- Part 5.mp4

06:49

17.1 Object Tracking OpenCV Recording.zip

17. Object Tracking from Scratch with YOLOv8 and OpenCV -- Part 6.mp4

06:27

18.1 PREDICTING TRAJECTORY KALMAN FILTER.zip

18. Predict Trajectory of an Object with Kalman Filter -- Part 1.mp4

04:21

19.1 PREDICTING TRAJECTORY KALMAN FILTER.zip

19. Predict Trajectory of an Object with Kalman Filter -- Part 2.mp4

10:43

20.1 PREDICTING TRAJECTORY KALMAN FILTER.zip

20. Predict Trajectory of an Object with Kalman Filter -- Part 3.mp4

31:29

6. Training Custom YOLOv8

1.1 AllFiles PPE.zip

1.2 best.zip

1.3 ppe detection step by step complete final.zip

1. Personal Protective Equipment (PPE) Detection Google Colab Part 1.mp4

27:52

2.1 AllFiles PPE.zip

2.2 best.zip

2.3 ppe detection step by step complete final.zip

2.4 predictions.zip

2. PPE Detection Part 2 Live Webcam Testing.mp4

03:17

7. YOLOv8 Object Segmentation

1. YOLOv8 Segmentation.mp4

02:56

2.1 yolov8 segmentation colab.zip

2. Run YOLOv8 Segmentation on Google Colab.mp4

11:37

3. YOLOv8 Segmentation on Custom Dataset Potholes Segmentation Part 1.mp4

00:22

4.1 UploadFilesComplete.zip

4. YOLOv8 Segmentation on Custom Dataset Potholes Segmentation Part 2.mp4

16:37

5.1 UploadFilesComplete.zip

5. YOLOv8 Segmentation on Custom Dataset Potholes Segmentation Part 3.mp4

17:22

8. YOLO-NAS

1. YOLO-NAS A New Foundation Model for Object Detection.mp4

05:34

2. Whats New in YOLO-NAS Is YOLO-NAS the Future of Object Detection.mp4

05:05

3.1 yolonas object detection images videos updated.zip

3. Object Detection with YOLO-NAS - Google Colab.mp4

16:05

4.1 YOLO NAS Object Tracking Pycharm.zip

4. Read and Display Image using OpenCV.mp4

12:27

5.1 YOLO NAS Object Tracking Pycharm.zip

5. Read and Display Video using OpenCV.mp4

11:32

6. Read Display and Write Video using OpenCV.mp4

05:25

7. Capture Video from Camera using OpenCV.mp4

03:17

8.1 YOLO NAS Object Tracking Pycharm.zip

8. Object Detection on Images using YOLO-NAS.mp4

08:13

9. Object Detection on Videos using YOLO-NAS.mp4

30:12

10. Object Tracking using YOLO-NAS and SORT Algorithm.mp4

32:34

11. Vehicles Counting (Entering and Leaving) using YOLO-NAS and SORT Object Tracking.mp4

33:28

12. Object Tracking using YOLO-NAS and SORT on Custom Dataset (Ship Detection).mp4

19:41

13.1 YOLO NAS DeepSORT Video.zip

13. Introduction to Object Tracking using YOLO-NAS and DeepSORT Algorithm.mp4

00:59

14. Object Tracking using YOLO-NAS and DeepSORT Algorithm.mp4

55:10

15. Object Tracking with YOLO-NAS and DeepSORT Custom Dataset (Vehicles Detection).mp4

13:31

9. YOLO-NAS Apps

1.1 train yolonas custom dataset potholes complete (1).zip

1. Potholes Detection using YOLO-NAS.mp4

43:46

2.1 train yolonas retail store.zip

2. Grocery Items Detection in a Retail Store with YOLO-NAS.mp4

27:37

3.1 train yolonas custom dataset ppe.zip

3. Personal Protective Equipment (PPE) Detection using YOLO-NAS.mp4

23:03

4. Vehicle Intensity Heatmaps YOLO-NAS Intro.mp4

00:20

5.1 Vehicles Intensity Heatmap YOLONAS.zip

5. Vehicle Intensity Heatmaps YOLO-NAS Complete Tutorial.mp4

38:51

10. Image and Video Segmentation using

1.1 video image segmentation yolonas sam (1).zip

1.2 yolonas+sam imagesegementation using yolonas and segment anything model (1).zip

1. Image and Video Segmentation using YOLO-NAS and Segment Anything Model (SAM).mp4

16:51

11. Optical Character Recognition

1. Install Tesseract-OCR.mp4

05:08

2.1 Project Tesseract OCR Recording.zip

2. Read Text from Image using Tesseract OCR.mp4

07:08

3.1 Project Tesseract OCR Recording.zip

3. Detecting Characters from Image using Tesseract OCR.mp4

10:40

4.1 Project Tesseract OCR Recording.zip

4. Detecting Words from Image using Tesseract OCR.mp4

07:13

5.1 Project Paddle OCR Recording.zip

5. Text Detection with PaddleOCR.mp4

10:40

6.1 Project Paddle OCR Recording.zip

6. Text Recogniton with PaddleOCR.mp4

07:32

7.1 Licence plate detection recognition.zip

7. License Plate Detection and Recognition with YOLO-NAS and Paddle OCR.mp4

26:10

8.1 Licence plate detection recognition.zip

8. License Plate Detection and Recognition with YOLO-NAS and Tesseract OCR.mp4

12:09

9.1 MultiCam Licence plate Course.zip

9. Multi-Cam Number Plate Detection and Recognition with YOLO-NAS and EasyOCR.mp4

32:05

12. Pose Estimation

1.1 PoseEstimation Recording.zip

1. Pose Estimation using OpenCV and MediaPipe.mp4

42:04

2.1 PoseEstimation Recording.zip

2. Bicep Curl Counter with OpenCV and MediaPipe.mp4

23:30

3. Push-Ups Counter with OpenCV and MediaPipe.mp4

07:28

Description

OpenCV, Object Detection, Object Tracking, Object Segmentation, YOLOv8, YOLO-NAS, Train Custom Dataset, Pose Estimation

What You'll 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 is this for?

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

What You Need to Know?

Python Programming experience is an advantage but not required

Laptop/PC

More details

Description
Welcome to the Course, we will start with the basics of OpenCV. From there, we'll dive into creating real-world applications using OpenCV.Â Next up, we'll explore different Object Detection AlgorithmsÂ 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.Â 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, FindingÂ and Drawing Contours,Â Warp Perspective.
Haar Cascades Classifiers to Detection Face, License Plate etc.
Using OpenCV to create Real-World Applications including Optical Mark Recognition, Lane Detection,Â 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 ofÂ Object Detection andÂ 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 YOLOv8Â and how to train YOLOv8Â 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,Â 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 includingÂ 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.

Who this course is for:
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

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Machine Learning | Computer Vision Engineer with over 3 years of experience working in AI product development. I have worked on state of the art Object Detection and Tracking algorithms including YOLOv8, YOLOv7, YOLOR, YOLOv4 in Tracking I have reviewed and implemented, SORT, DeepSORT and ByteTrack in different projects. I also have an hands on experience on Classical and Traditional Machine Learning Algorithms. I have also reviewed and implemented state of the art Deep Learning Algorithms in different project which include VGG16, ResNet50, GoogLeNet, MobileNet. I have expertise in Natural Language and Time Series Forecasting as well and done plenty of project for different clients as well. I have created a real time Stock Price Forecasting Web App using state of the art Time Series Forecasting Model. I have done deployment on AWS servers, Google Cloud and Heroku as well.

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