Computer Vision with Python

Computer Vision with Python, available at $19.99, has an average rating of 4.05, with 31 lectures, 3 quizzes, based on 131 reviews, and has 17332 subscribers.

You will learn about Do image processing Use basic Computer Vision techniques Build: Image Similarity app Build: Search Engine app Build: Face Detection app Build: Object Detection app using templates Build: Object Detection app using Keypoints This course is ideal for individuals who are For anyone interested in Computer Vision and knows the basics of Python programming It is particularly useful for For anyone interested in Computer Vision and knows the basics of Python programming.

Enroll now: Computer Vision with Python

Summary

Title: Computer Vision with Python

Price: $19.99

Average Rating: 4.05

Number of Lectures: 31

Number of Quizzes: 3

Number of Published Lectures: 31

Number of Published Quizzes: 3

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: €139.99

Quality Status: approved

Status: Live

What You Will Learn

Do image processing
Use basic Computer Vision techniques
Build: Image Similarity app
Build: Search Engine app
Build: Face Detection app
Build: Object Detection app using templates
Build: Object Detection app using Keypoints

Who Should Attend

For anyone interested in Computer Vision and knows the basics of Python programming

Target Audiences

For anyone interested in Computer Vision and knows the basics of Python programming

Introduction course to Computer Vision with Python.�

Make Computer Vision Apps?
Learn Computer Vision theory?
Build a strong portfolio with Computer Vision & Image Processing Projects?
Looking to add Computer Vision algorithms in your current software project ?

Whatever be your motivation to learn Computer Vision, I can assure you that you’ve come to the right course.

This course is tailor made for an individual who wishes to transition
quickly from an absolute beginner to a Computer Vision expert in a few
weeks. The most difficult concepts are explained in plain and simple
manner using code examples.

We will build:

Multimedia apps
Image Similarity apps
Obect Detection apps
Face detection apps
Reverse Image Search app

I personally guarantee this is the number one course for you. This
may not be your first OpenCV course, but trust me – It will definitely
be your last.�

I assure you, that you will receive fast, friendly, responsive support by email, and on the Udemy.

Don’t believe me? I offer a full money back guarantee, so long as you request it within 30 days of your purchase of the course.

Also the course is updated on a regular basis to add more new and exciting content.

Join the course right now. So what are you waiting for ?

Let’s meet at the other side of the course.

Course Curriculum

Chapter 1: Inroduction

Lecture 1: Intro

Chapter 2: Install OpenCV

Lecture 1: Installation

Chapter 3: Media with Python

Lecture 1: Load Image

Lecture 2: Color to Grayscale Conversion

Lecture 3: Metadata

Chapter 4: Image Theory

Lecture 1: Pixels and coordinates

Lecture 2: Pixel Access

Lecture 3: Change Pixels in Image

Lecture 4: Draw lines, rectangles, circles

Lecture 5: Text on images

Lecture 6: Resize Image

Lecture 7: Cut Image

Chapter 5: Feature Extraction

Lecture 1: Feature Vectors

Lecture 2: Color-mean Features Theory

Lecture 3: Demo: Color-mean Features

Lecture 4: Code: Color-mean features

Lecture 5: Histogram features

Lecture 6: Code: Grayscale Histogram Features

Lecture 7: Texture Features (Local Binary Pattern)

Lecture 8: Code: Texture-based Features (Local Binary Pattern)

Chapter 6: App: Image Similarity

Lecture 1: Theory: Image Similarity

Lecture 2: App: Image Similarity

Chapter 7: Apps: Reverse Image Search

Lecture 1: Theory: Reverse Image Search Engine

Lecture 2: App: Reverse Image Search

Chapter 8: App: Object Detection using Template Matching

Lecture 1: Theory: Template Matching

Lecture 2: App: Object Detection app using Templates

Chapter 9: App: Face Detection

Lecture 1: App: Face Detection using Haar Cascade

Lecture 2: Theory: Haar Features

Chapter 10: App: Real Life Object Detection using Keypoints

Lecture 1: Object Detection using keypoints

Lecture 2: Code: Keypoint Extraction

Lecture 3: App: Object Detection using Keypoints

Instructors

Frank Anemaet
Supercharge Your Career

Rating Distribution

1 stars: 5 votes
2 stars: 8 votes
3 stars: 29 votes
4 stars: 43 votes
5 stars: 46 votes

Frequently Asked Questions

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

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