Computer Vision with Python



Introduction to Computer Vision, make vision apps

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

Description

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.

English
language

Content

Inroduction

Intro

Install OpenCV

Installation

Media with Python

Load Image
Color to Grayscale Conversion
Metadata
Quiz 1

Image Theory

Pixels and coordinates
Pixel Access
Change Pixels in Image
Draw lines, rectangles, circles
Text on images
Resize Image
Cut Image
Section Quiz

Feature Extraction

Feature Vectors
Color-mean Features Theory
Demo: Color-mean Features
Code: Color-mean features
Histogram features
Code: Grayscale Histogram Features
Texture Features (Local Binary Pattern)
Code: Texture-based Features (Local Binary Pattern)
Quiz on Feature Vectors

App: Image Similarity

Theory: Image Similarity
App: Image Similarity

Apps: Reverse Image Search

Theory: Reverse Image Search Engine
App: Reverse Image Search

App: Object Detection using Template Matching

Theory: Template Matching
App: Object Detection app using Templates

App: Face Detection

App: Face Detection using Haar Cascade
Theory: Haar Features

App: Real Life Object Detection using Keypoints

Object Detection using keypoints
Code: Keypoint Extraction
App: Object Detection using Keypoints

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