Learn Practical Approach to OpenCV using Kotlin

سرفصل های دوره

Less theory but more code to build complex OpenCV applications

1. Introduction to the course

1. Introduction to course - 1

2. Introduction to course - 2

3. Requirement to develop in this course

2. Setup your machine for OpenCV

1. Project GitHub project link for the course.html

2. Windows OpenCV installation - 1

3. Windows OpenCV installation - 2

4. Windows OpenCV installation - 3

5. Linux OpenCV installation from official documentation.html

6. Linux OpenCV installation - 1

7. Linux OpenCV installation - 2.html

8. Mac OpenCV installation.html

9. Project Modification in build.gralde file of the project

10. Project Take checkout of the project and start playing on it

3. Image Filters

1. Introduction

2. Negative change image to negative image - 1

3. Negative change image to negative image - 2

4. Negative change image to negative image - 3

5. Thresholding Introduction of Threshold API

6. Thresholding Binary Thresholding (convert image to black and white)

7. Thresholding OTSU thresholding (convert image to black and white)

8. Thresholding Fixing image for thresholding

9. Thresholding trying different parameters and code refactoring

10. Grayscale Filter

11. Denoising FastNL Mean Denoise API (remove noise from image) - 1

12. Denoising FastNL Mean Denoise API (remove noise from image) - 2

13. Denoising FastNL Mean Denoise API (remove noise from image) - 3

14. Sharpening difference between gaussian blur and Laplacian filter - 1

15. Sharpening implementation using Laplacian filter - 2

16. Sharpening sharpen color image using Laplacian and Gaussian in YUV - 3.1

17. Sharpening sharpen color image using Laplacian and Gaussian in YUV - 3.2

18. Sharpening Code refactoring - 5

19. Smoothing Introduction

20. Smoothing Gaussian filter implementation

21. Smoothing Bilateral filter implementation

22. Smoothing smoothing to specific region in the image

23. Smoothing Test code refactoring

24. Crisper Image Intro to unsharp masking

25. Crisper Image unsharp masking implementation

26. Section Summary

4. Image Transformations

1. Introduction of Transformations

2. Rotation Introduction of rotation API

3. Rotation Implementation of rotation

4. Rotation Refactoring code

5. Rotation Understanding rotation matrix 2d and warp affine

6. Rotation Enhancement of rotation code for any angle rotation

7. Scaling Understanding scaling transformation

8. Scaling Scaleing up image using inter linear and inter cubic

9. Scaling Scaling down

10. Scaling scaling differently in x and y direction

11. Translation Understanding translation

12. Translation Implementation of translation

13. Perspective Understanding perspective transformation

14. Perspective Implementation of perspective transformation

15. Perspective Refactoring and enhancing perspective transform

16. Section Summary

5. Contrast Enhancements

1. Histogram Introduction to histogram equalization

2. Histogram Histogram equalization for gray image

3. Histogram Histogram equalization for color image

4. Gamma Correction Introduction

5. Gamma Correction Gamma correction implementation grayscale image - 1

6. Gamma Correction Gamma correction implementation grayscale image - 2

7. Gamma Correction Gamma correction on color image

8. Adaptive Histogram Histogram CLAHE introduction

9. Adaptive Histogram Applying Histogram CLAHE on grayscale image

10. Adaptive Histogram Applying Histogram CLAHE on color image

11. Saturation correction Adjusting Contrast and brightness

12. Saturation correction Applying on gray and color image

13. Comparison of different algorithms Introduction

14. Comparison of different algorithms with imadjust algorithm (from matlab)

15. Custom enhancement Introduction

16. Custom enhancement algorithm explaination

17. Custom enhancement imadjust for gray image implementation

18. Custom enhancement code refactoring

19. Custom enhancement Add test for color image before coding

20. Custom enhancement 4. run test 1 continue and implement for color image

21. Custom enhancement Refactoring and testing color image

22. Section Summary

6. Text and Complex Operations

1. Introduction

2. Text Operation Add text task to do

3. Text Operation OpenCV documentation walkthrough

4. Text Operation add text to image

5. Text Operation add rectangle enclosing text

6. Text Operation add rotated text in image

7. Text Operation fix text intensity issue for rotated text added

8. Advanced Text Operation explanation of refactored code

9. Advanced Text Operation Implementation for add text with perspective transform

10. Advanced Text Operation refactoring code

11. Section Summary

7. [Advanced] Building image editor application using learnt concepts

1. Intro

2. design explanation

3. Snapshot(memento design pattern)

4. Command (command design pattern)

5. Code refactoring

6. Implementation - editor and state manager - 1

7. Implementation - editor and state manager - 2

8. Implementation - editor and state manager - 3

9. Implementation - editor and state manager - 4

10. Implementaion of snapshot class

11. Implementation editor and backup manager - 1

12. Implementation editor and backup manager - 2

13. Implementation editor and backup manager - 3

14. Implementation editor and backup manager - 4

15. Implementation editor and client Introduction

16. Implementation editor and client 1

17. Implementation editor and client 2

18. Implementation editor and client 3

19. Implementation editor and client 4

20. Implementation editor and client 5

21. Refactoring code 1

22. Refactoring code 2

23. Refactoring code 3

24. Section Summary

8. Publishing image editor code as library

1. Introduction

2. add publishing and publish manually

3. fix publishing issue

4. access the published library in different project

5. recap of what done and how to test

6. add GitHub action for publishing package - 1

7. add GitHub action for publishing package - 2

8. refactor Gradle build and library publish workflow

9. fix workflow issue

10. add caching 1

11. add caching 2

12. successful running of publish library workflow

13. add CI test pipeline

14. recap and summary

9. [Advanced] Building document scanner app for Android using our library

1. Android app introduction

2. Android Project setup

3. Steps to import OpenCV SDK

4. Code review and fix dependency issue

5. Code walkthrough

6. summary

10. [Advanced] [Extra] Automatic document detection in image

1. Intro to auto detection feature

2. Algorithm walkthrough

3. Understanding each step using OpenCV API

4. Detect region of interest code walkthrough

5. summary

11. Wrap up

1. Ending note

“کورس یادگیری کامل Cisco CCNP Security 300-710 SNCF” به سبد خرید شما اضافه شد. مشاهده سبد خرید

139,000 تومان

خرید اشتراک افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: Udemy