Hands on Computer Vision with OpenCV 4 Python 3 - Beginner

Hands on Computer Vision with OpenCV 4 & Python 3 | Beginner, available at $19.99, has an average rating of 3.7, with 34 lectures, based on 15 reviews, and has 77 subscribers.

You will learn about Basics of NumPy Opencv Basics Opencv 4 with Python 3 Face Detection with OpenCV Histograms with OpenCV Objects Tracking with OpenCV Draw shapes on images Video processing with OpenCV Good knowledge of image processing and computer vision Practical and real life examples of computer vision This course is ideal for individuals who are Anyone who is interested in Computer vision or image processing or Anyone who is interested in object tracking, face detection, and image editing or Anyone who is interested to see real examples of computer vision and find solution for them It is particularly useful for Anyone who is interested in Computer vision or image processing or Anyone who is interested in object tracking, face detection, and image editing or Anyone who is interested to see real examples of computer vision and find solution for them.

Enroll now: Hands on Computer Vision with OpenCV 4 & Python 3 | Beginner

Summary

Title: Hands on Computer Vision with OpenCV 4 & Python 3 | Beginner

Price: $19.99

Average Rating: 3.7

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Basics of NumPy

Opencv Basics

Opencv 4 with Python 3

Face Detection with OpenCV

Histograms with OpenCV

Objects Tracking with OpenCV

Draw shapes on images

Video processing with OpenCV

Good knowledge of image processing and computer vision

Practical and real life examples of computer vision

Who Should Attend

Anyone who is interested in Computer vision or image processing

Anyone who is interested in object tracking, face detection, and image editing

Anyone who is interested to see real examples of computer vision and find solution for them

Target Audiences

Anyone who is interested in Computer vision or image processing

Anyone who is interested in object tracking, face detection, and image editing

Anyone who is interested to see real examples of computer vision and find solution for them

Welcome to this on OpenCV Python Tutorial For Beginners.

You are going to learn computer vision & image processing from scratch. We’ll start with the basics, starting from installing OpenCV.

Then we will dive deep into the opencv world to learn the most important concepts about computer vision using OpenCV .

You will find real world examples and we will add more by the time.

If you are looking to learn opencv and computer vision from zero, then you are in the correct place, and do not worry, we will add more examples day by day.

Course Curriculum

Chapter 1: About The Course

Lecture 1: About the course

Chapter 2: Introduction

Lecture 1: Install Python 3 – Windows

Lecture 2: Install Opencv 4

Lecture 3: Install Jupyter

Chapter 3: OpenCV Basics

Lecture 1: Opencv Basics – read, write and display the image

Lecture 2: Opencv Drawing Functions 1 – Lines

Lecture 3: Opencv Drawing Functions 2 – Rectangles – Circles

Lecture 4: 7- Opencv Drawing Functions 3 – Text

Lecture 5: 8- Opencv Drawing Functions 4 – Polylines

Lecture 6: 9- Opencv Generate Images

Lecture 7: 10- Opencv – Understanding the image

Lecture 8: 11- Opencv – Image Transformations

Lecture 9: 12- Opencv – get and set pixel value in the image

Lecture 10: 13- Opencv – ROI – Copy and Paste

Lecture 11: 14- Opencv – Sum two images – Add and AddWeight

Chapter 4: Working with Video in OpenCV

Lecture 1: 15- Working with Videos – Opencv – reading video

Lecture 2: 16- More about Videos and Frames in Opencv

Lecture 3: 17- Opencv – Video Writer – Create Videos

Chapter 5: Image Processing Basics with OpenCV

Lecture 1: 18- Opencv – Simple Image Thresholding

Lecture 2: 19- Opencv – Color Tracking – Color Filtering

Lecture 3: 20 – Opencv – Understanding image Histograms

Lecture 4: 21 – Opencv – Smoothing Images – Image Noise Removal

Lecture 5: 22 – Opencv – Edge detection – Canny, Sobel, and Laplacian filter

Lecture 6: 23 – Opencv – Working with Contours

Lecture 7: 24 – Opencv – Morphological Transformations

Chapter 6: Shape, Object and Face Detection and Tracking

Lecture 1: 25 – Opencv – Basic motion detection, Image subtraction and Background removal

Lecture 2: 26 – Opencv – Motion detection and Tracking

Lecture 3: 27 – Opencv – Template Matching

Lecture 4: 28 – Opencv – Simple Geometric Shapes Detection

Lecture 5: 29 – Opencv – Detecting the Lines, Hough Line Transform

Lecture 6: 30 – Opencv – Fourier Transform

Lecture 7: 31 – Opencv – Face and eyes detection

Lecture 8: 32 – Opencv – Feature Detection and Description

Lecture 9: 33 – Opencv – Feature Matching and Object Detection

Instructors

Tom Science and Technology
Ai Engineer

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 7 votes

4 stars: 4 votes

5 stars: 3 votes

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