OpenCV Python For Beginners - Hands on Computer Vision

OpenCV Python For Beginners | Hands on Computer Vision, available at $59.99, has an average rating of 3.8, with 54 lectures, based on 214 reviews, and has 6499 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone who wants to code or New Programmers and Developers or Beginners or Students It is particularly useful for Anyone who wants to code or New Programmers and Developers or Beginners or Students.

Enroll now: OpenCV Python For Beginners | Hands on Computer Vision

Summary

Title: OpenCV Python For Beginners | Hands on Computer Vision

Price: $59.99

Average Rating: 3.8

Number of Lectures: 54

Number of Published Lectures: 54

Number of Curriculum Items: 54

Number of Published Curriculum Objects: 54

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Anyone who wants to code

New Programmers and Developers

Beginners

Students

Target Audiences

Anyone who wants to code

New Programmers and Developers

Beginners

Students

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 !!!

Course Curriculum

Chapter 1: Install and Setup Python

Lecture 1: How to Install Python 3 on Windows 10

Lecture 2: How to install Python 3 on Mac

Lecture 3: How To Install PyCharm In Windows 10

Lecture 4: How To Install PyCharm In Windows 11

Lecture 5: How To Install PyCharm In Mac

Lecture 6: How To Install PyCharm In Ubuntu 18.04 + Create and Run First Python Project

Lecture 7: How To Install PyCharm In Ubuntu 20.04 + Create and Run First Python Project

Chapter 2: Numpy

Lecture 1: Introduction + Installing numpy

Lecture 2: Python List Vs Numpy Array

Lecture 3: Basic properties and Methods in NumPy Array

Lecture 4: Creating specific arrays, Reshape and more

Chapter 3: Introduction to OpenCV

Lecture 1: Introduction to OpenCV

Chapter 4: Install OpenCV

Lecture 1: How to Install OpenCV for Python on Windows 10

Lecture 2: How To Install OpenCV 4 for Python on Ubuntu 18.04 Linux

Chapter 5: OpenCV Basics

Lecture 1: How to Read, Write, Show Images in OpenCV

Lecture 2: How to Read, Write, Show Videos from Camera in OpenCV

Lecture 3: Draw geometric shapes on images using Python OpenCV

Lecture 4: Setting Camera Parameters in OpenCV Python

Lecture 5: Show Date and Time on Videos using OpenCV Python

Lecture 6: Handle Mouse Events in OpenCV

Lecture 7: More Mouse Event Examples in OpenCV Python

Chapter 6: Core Operations

Lecture 1: cv.split, cv.merge, cv.resize, cv.add, cv.addWeighted, ROI

Lecture 2: Bitwise Operations (bitwise AND, OR, NOT and XOR)

Lecture 3: How to Bind Trackbar To OpenCV Windows

Chapter 7: Image Processing in OpenCV

Lecture 1: Object Detection and Object Tracking Using HSV Color Space

Lecture 2: Simple Image Thresholding

Lecture 3: Adaptive Thresholding

Lecture 4: matplotlib with OpenCV

Lecture 5: Morphological Transformations

Lecture 6: Smoothing Images | Blurring Images OpenCV

Lecture 7: Image Gradients and Edge Detection

Lecture 8: Canny Edge Detection in OpenCV

Lecture 9: Image Pyramids with Python and OpenCV

Lecture 10: Image Blending using Pyramids in OpenCV

Lecture 11: Find and Draw Contours with OpenCV in Python

Lecture 12: Motion Detection and Tracking Using Opencv Contours

Lecture 13: Detect Simple Geometric Shapes using OpenCV in Python

Lecture 14: Understanding image Histograms using OpenCV Python

Lecture 15: Template matching using OpenCV in Python

Chapter 8: Hough Transform

Lecture 1: Probabilistic Hough Transform using HoughLinesP in OpenCV

Lecture 2: Hough Line Transform Theory

Lecture 3: Hough Line Transform using HoughLines method in OpenCV

Lecture 4: Circle Detection using OpenCV Hough Circle Transform

Chapter 9: Road Lane Line Detection Mini Project

Lecture 1: Road Lane Line Detection with OpenCV (Part 1)

Lecture 2: Road Lane Line Detection with OpenCV (Part 2)

Lecture 3: Road Lane Line Detection with OpenCV (Part 3)

Chapter 10: Face and Eye Detection

Lecture 1: Face Detection using Haar Cascade Classifiers

Lecture 2: Eye Detection Haar Feature based Cascade Classifiers

Chapter 11: Detect Corners

Lecture 1: Detect Corners with Harris Corner Detector

Lecture 2: Detect Corners with Shi Tomasi Corner Detector

Chapter 12: Background Subtraction Methods

Lecture 1: How to Use Background Subtraction Methods in OpenCV

Chapter 13: Object Tracking

Lecture 1: Object Tracking Meanshift Method

Lecture 2: Object Tracking Camshift Method

Chapter 14: Stand Alone Executable

Lecture 1: Creating a Stand Alone Executable

Instructors

Yogesh Patel
Software Developer and Programming Enthusiast

Rating Distribution

1 stars: 5 votes

2 stars: 3 votes

3 stars: 30 votes

4 stars: 88 votes

5 stars: 88 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!