OpenCV Python For Beginners | Hands on Computer Vision
4.6 (119 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
6,085 students enrolled

OpenCV Python For Beginners | Hands on Computer Vision

Hands on Practical Examples with OpenCV & Python
Highest Rated
4.6 (119 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
6,085 students enrolled
Created by Yogesh Patel
Last updated 10/2019
English
English [Auto]
Current price: $69.99 Original price: $99.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 11 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Basics of NumPy
  • Face Detection with OpenCV
  • Draw shapes on images and videos with OpenCV
  • Smoothing, blurring, thresholding, and morphological operations with OpenCV
  • Objects Tracking with OpenCV
  • Histograms with OpenCV
  • Find Car Lane lines with OpenCV
Course content
Expand all 49 lectures 10:59:50
+ Install and Setup Python
5 lectures 45:31
How to install Python 3 on Mac
07:00
How To Install PyCharm In Windows 10
12:15
How To Install PyCharm In Mac
08:13
How To Install PyCharm In Ubuntu 18.04 + Create and Run First Python Project
10:17
+ Numpy
4 lectures 52:47
Introduction + Installing numpy
12:24
Python List Vs Numpy Array
12:54
Basic properties and Methods in NumPy Array
13:29
Creating specific arrays, Reshape and more
14:00
+ Install OpenCV
2 lectures 17:33
How to Install OpenCV for Python on Windows 10
10:12
How To Install OpenCV 4 for Python on Ubuntu 18.04 Linux
07:21
+ OpenCV Basics
7 lectures 01:34:35
How to Read, Write, Show Images in OpenCV
17:37
How to Read, Write, Show Videos from Camera in OpenCV
16:27
Draw geometric shapes on images using Python OpenCV
15:58
Setting Camera Parameters in OpenCV Python
05:27
Show Date and Time on Videos using OpenCV Python
08:19
Handle Mouse Events in OpenCV
16:46
More Mouse Event Examples in OpenCV Python
14:01
+ Core Operations
3 lectures 48:49
cv.split, cv.merge, cv.resize, cv.add, cv.addWeighted, ROI
17:09
Bitwise Operations (bitwise AND, OR, NOT and XOR)
13:10
How to Bind Trackbar To OpenCV Windows
18:30
+ Image Processing in OpenCV
15 lectures 04:06:27
Object Detection and Object Tracking Using HSV Color Space
19:51
Simple Image Thresholding
13:08
Adaptive Thresholding
10:02
matplotlib with OpenCV
14:48
Morphological Transformations
22:17
Smoothing Images | Blurring Images OpenCV
17:55
Image Gradients and Edge Detection
14:24
Canny Edge Detection in OpenCV
07:39
Image Pyramids with Python and OpenCV
20:40
Image Blending using Pyramids in OpenCV
21:32
Find and Draw Contours with OpenCV in Python
10:50
Motion Detection and Tracking Using Opencv Contours
19:15
Detect Simple Geometric Shapes using OpenCV in Python
18:49
Understanding image Histograms using OpenCV Python
16:10
Template matching using OpenCV in Python
19:07
+ Hough Transform
4 lectures 48:10
Probabilistic Hough Transform using HoughLinesP in OpenCV
10:47
Hough Line Transform Theory
12:37
Hough Line Transform using HoughLines method in OpenCV
12:41
Circle Detection using OpenCV Hough Circle Transform
12:05
+ Road Lane Line Detection Mini Project
3 lectures 45:25
Road Lane Line Detection with OpenCV (Part 1)
15:58
Road Lane Line Detection with OpenCV (Part 2)
20:46
Road Lane Line Detection with OpenCV (Part 3)
08:41
+ Face and Eye Detection
2 lectures 19:33
Face Detection using Haar Cascade Classifiers
12:21
Eye Detection Haar Feature based Cascade Classifiers
07:12
Requirements
  • Basic programming skills in python language python would be beneficial.
  • A Windows, Mac or Linux computer.
  • All you need is a PC and a working internet connection
Description

Welcome to this 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.

The goal of this course is to provide you with a working knowledge of OpenCV with Python. We'll start with the basics, starting from installing OpenCV with Python on Windows, Mac, and Ubuntu. Then we will see how to create your first OpenCV python script. Then we will dive deep into the amazing world of computer vision Using OpenCV and learn the most important concepts about computer vision using OpenCV .

So Let's get started !!!

Who this course is for:
  • Anyone who wants to code
  • New Programmers and Developers
  • Beginners
  • Students