OpenCV Python for Beginners - Full Course in 10 Hours - Learn Computer Vision with OpenCV

Welcome to this courese on OpenCV Python Tutorial For Beginners.
OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python.
it is Open Source and free. opencv is easy to use and install.

Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV.

At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science.

Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems.

#ProgrammingKnowledge #ComputerVision #OpenCV

1 - Introduction to OpenCV
2 - How to Install OpenCV for Python on Windows 10
3 - How to Read, Write, Show Images in OpenCV
4 - How to Read, Write, Show Videos from Camera in OpenCV
5 - Draw geometric shapes on images using Python OpenCV
6 - Setting Camera Parameters in OpenCV Python
7 - Show Date and Time on Videos using OpenCV Python
8 - Handle Mouse Events in OpenCV
9 - More Mouse Event Examples in OpenCV Python
11- Bitwise Operations (bitwise AND, OR, NOT and XOR)
12 - How to Bind Trackbar To OpenCV Windows
13 - Object Detection and Object Tracking Using HSV Color Space
14 - Simple Image Thresholding
15 - Adaptive Thresholding
16 - matplotlib with OpenCV
17 - Morphological Transformations
18 - Smoothing Images | Blurring Images OpenCV
19 - Image Gradients and Edge Detection
20 - Canny Edge Detection in OpenCV
21 - Image Pyramids with Python and OpenCV
22 - Image Blending using Pyramids in OpenCV
22 - Image Blending using Pyramids in OpenCV
23 - Find and Draw Contours with OpenCV in Python
24 - Motion Detection and Tracking Using Opencv Contours
25 - Detect Simple Geometric Shapes using OpenCV in Python
26 - Understanding image Histograms using OpenCV Python
27 - Template matching using OpenCV in Python
28 - Hough Line Transform Theory
29 - Hough Line Transform using HoughLines method in OpenCV
30 - Probabilistic Hough Transform using HoughLinesP in OpenCV
31 - Road Lane Line Detection with OpenCV (Part 1)
32 - Road Lane Line Detection with OpenCV (Part 2)
33 - Road Lane Line Detection with OpenCV (Part 3)
34 - Circle Detection using OpenCV Hough Circle Transform
35 - Face Detection using Haar Cascade Classifiers
36 - Eye Detection Haar Feature based Cascade Classifiers
37 - Detect Corners with Harris Corner Detector in OpenCV
38 - Detect Corners with Shi Tomasi Corner Detector in OpenCV
39 - How to Use Background Subtraction Methods in OpenCV
40 - Mean Shift Object Tracking
41 - Object Tracking Camshift Method

#ProgrammingKnowledge #ComputerVision #OpenCV
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DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!

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1. Introduction 0:11
2. Install Python 5:30
3. Install OpenCV 11:42
4. Getting Started with images on pycharm 15:30
5. How to Read, Write, Show Videos from Camera in OpenCV 32:41
6. Draw geometric shapes on images using Python OpenCV 48:45
7. Setting Camera Parameters in OpenCV Python 1:04:25
8. Handle Mouse Events in OpenCV 1:17:37
9. More Mouse Event Examples in OpenCV Python 1:34:03
10. Basic operations on images : cv.split, cv.merge, cv.resize, cv.add, cv.addWeighted, ROI 1:47:40
11. Bitwise Operators 2:04:28
12. Python Opencv trackbar 2:17:10
13. Object Detection and Object Tracking Using HSV Color Space 2:35:23
14. Simple Image Thresholding 2:54:48
15. Adaptive thresholding 3:07:32
16. Matplotlib with OpenCV 3:17:06
17. Morphological Transformations using OpenCV 3:31:41
18. Smoothing and Blurring Images in OpenCV 3:53:35
19. Image Gradients in OpenCV 4:11:07
20 - Canny Edge Detection in OpenCV 4:24:57
21 - Image Pyramids with Python and OpenCV 4:32:10
22 - Image Blending using Pyramids in OpenCV 4:52:25
23 - Find and Draw Contours with OpenCV in Python 5:13:40
24 - Motion Detection and Tracking Using Opencv Contours 5:24:07
25 - Detect Simple Geometric Shapes using OpenCV in Python 5:43:03
26 - Understanding image Histograms using OpenCV Python 6:01:26
27 - Template matching using OpenCV in Python 6:17:16
28 - Hough Line Transform Theory 6:36:04
29 - Hough Line Transform using HoughLines method in OpenCV 6:48:13
30 - Probabilistic Hough Transform using HoughLinesP in OpenCV 7:00:26
31 - Road Lane Line Detection with OpenCV (Part 1) 7:10:46
32 - Road Lane Line Detection with OpenCV (Part 2) 7:26:27
33 - Road Lane Line Detection with OpenCV (Part 3) 7:46:58
34 - Circle Detection using OpenCV Hough Circle Transform 7:55:33
35 - Face Detection using Haar Cascade Classifiers 8:07:22
36 - Eye Detection Haar Feature based Cascade Classifiers 8:19:24
37 - Detect Corners with Harris Corner Detector in OpenCV 8:26:16
38 - Detect Corners with Shi Tomasi Corner Detector in OpenCV 8:37:22
39 - How to Use Background Subtraction Methods in OpenCV 8:44:07
40 - Mean Shift Object Tracking 8:57:01
41 - Object Tracking Camshift Method 9:17:10

Stil working through it.

[dicktonyboy]

Stunning set of videos - greatly appreciated. Thank you for making your skill freely available for all.

[saurabhshastri]

Your videos have been extremely helpful to me for learning computer vision.
Thank you very much!!!
Hope you continue the great work.

[StickDoesCS]

probably the most comprehensive guide I've seen on this topic. Job well done!

[nikkigilpatrick]

This is a VERY thorough explanation and helped bridge the gap from class to learning. Thank you for your time of creating this video!

[joaosalomao]

Thank you for this great content, it's really good to learn with all of your knowledge

[TechWithRushabh]

If you have python installed the skip to => 11:43

[sanjeevkumarsuryawanshi]

sir very awesome video this is, I watch all the videos in a week and practice also it helps me a lot. it is the best video of OCV in youtube

[DarkLambfromthesun]

Brilliant. Thank you for such great content!

[juancarloslopez]

Thank you for sharing this open CV course!!

[mohamedmokdad]

Many many thanks for this very cleverly illustrated and complete great work on understanding OpenCV. Very clear steps and no hesitation in progressing though the tutorial. Anyone would like to understand OpenCV should use this tutorial and it's the best one I could find on the net. I hope to see more from you.

[pushpindersingh]

Thank you!! your videos are very well explained. It is extremely helpful

[moneyadmin]

Thank you for this wonderful course, for those of us who do not have English as our first language, we appreciate the subtitles, please.

[keshavbansal]

Pretty extensive course, thank you so much <3

[flamboyantperson]

Wow this is very interesting. I am going to follow full series.

[tmtguitar]

thank you for the video! very useful to start working with opencv

[demkademkovski]

OMG You are so cool, I always wanted to learn ML and CV and could not find a good tutorial.
Thank you so much, you are amazing bro

[benyounesoukarfifstm]

Hi Sir, thank you very much for this great job.

[automationtesting]

Really useful information. Keep up the good work!!!

[tkcreations]

Thanks for your wonderful teaching and dedication.