you need to learn Python RIGHT NOW!! // EP 1

you need to learn Python RIGHT NOW!! // EP 1



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0:00 ⏩ Intro
1:23 ⏩ FREE Python lab
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3:20 ⏩ What is Python?
4:16 ⏩ DEEP DIVE: Hello World!!
4:43 ⏩ “Strings”
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Learn OPENCV in 9 Hours with Python

Learn OPENCV in 9 Hours with Python



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.

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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
10 – cv.split, cv.merge, cv.resize, cv.add, cv.addWeighted, ROI
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

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