OpenCV Python Course — Learn Computer Vision and AI
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Learn computer vision in this OpenCV course using Python! You will learn the basics (read/write images and videos, color channels, resizing, histogram, convolution, filtering, and gradients) to advanced topics (edge detection, line detection, feature detection, object tracking, pose estimation, camera calibration, depth estimation). By the end of this course, you will have a solid foundation in computer vision and be ready to tackle real-world problems for robotics and CV applications.
Below is an outline of the course. Feel free to skip to any section.
📖 Basic
0:00 Introduction
1:15 Installing OpenCV Python in VS Code
2:35 What are images?
6:23 Read and Write Images
13:38 Read and Write Videos
24:59 Read and Write Pixels
36:01 RGB Color Channels
51:41 Grayscale
56:13 HSV Color
1:06:56 Image Resizing
1:15:13 Image Histogram
1:25:19 2D Convolution
1:31:08 Average Filtering
1:36:10 Median Filtering
1:40:32 Gaussian Filtering
1:50:06 Image Thresholding
🚀 Advanced
2:00:46 Image Gradient
2:07:50 Canny Edge Detection
2:15:42 Line Detection with Hough Line Transform
2:28:02 Harris Corner Detection
2:36:44 SIFT Feature Detection
2:42:50 Optical Flow Object Tracking
2:53:15 Camera Calibration
3:07:18 Pose Estimation
3:15:28 Depth Estimation using Depth Map
For additional topics in computer vision using OpenCV Python, checkout this playlist:
• OpenCV Python with Classical Computer Visi...
To learn Computer Vision using AI, checkout this playlist:
• Computer Vision Applications using AI (Pyt...
For even more Computer Vision Applications, checkout this playlist:
• Playlist
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