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Learn OpenCV in Python - Computer Vision Projects

Augmented Startups via YouTube

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Overview

This course on OpenCV in Python aims to teach learners the fundamentals of OpenCV and how to apply them in real-world Computer Vision projects. By the end of the course, students will be able to develop 6 advanced Computer Vision applications. The course covers topics such as image manipulation, video processing, object detection, and image classification. The teaching method includes hands-on coding exercises and project-based learning. This course is intended for individuals interested in pursuing a career in Computer Vision and AI, as well as professionals looking to enhance their skills in OpenCV and Computer Vision projects.

Syllabus

1. Introduction
2. Downloading and Installing OpenCV
3. Reading an Image
4. Displaying an Image
5. Saving an Image
6. Accessing Image Properties
7. Changing Color Space
8. Resizing the Image
9.Displaying Text
10. Drawing a Line
11.Drawing a Circle
12. Drawing a Rectangle
13. Drawing an Ellipse
14. Display images in multiple modes
15. Playing Webcam video
16. Capture videos using OpenCV
17. Playing vieo from file
18. Basic operations on images using OpenCV
19. Access pixel values and modify them
20. Access image properties
21. Setting Region of Image
22. Splitting and merging images
23. Change the image color
24. Blend two different images
25. Apply different filters on image
26. Image thresholding
27. Contour detection and shape detection
28. Color detection
29. Object replacing in 2D image using OpenCV
30. Projects Overview
31. Project 1 - Face Detection and Blurring
32. Project 2 - Deep Image Classification
33. Project 3 - Object Detection
34. Project 4 - Object Tracking
35. Project 5 - Image Warp Perspective
36. Project 6 - Optical Flow
37. Recap

Taught by

Augmented Startups

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