The Complete Computer Vision Bootcamp: From Zero to Expert!

The Complete Computer Vision Bootcamp: From Zero to Expert!, available at $69.99, has an average rating of 4.5, with 54 lectures, based on 15 reviews, and has 1207 subscribers.

You will learn about Become an advanced, confident, and modern Computer Vision expert from scratch Become job-ready by understanding how Computer Vision really works behind the scenes Computer Vision fundamentals: digital image, discretization and quantification, color spaces, etc. How to think and work like a developer: problem-solving, researching, workflows Digital image processing: gray level transformations, geometric transformations, convolution, image enhancement and smoothing, morphological filters, etc. Get fast and friendly support in the Q&A area Complex concepts like the 'Mahalanobis' classifier, object identification, etc. Image segmentation: región growing, split & merge, watershed, k-means, normalized cuts, etc. Practice your skills with 50+ challenges and assignments (solutions included) This course is ideal for individuals who are Take this course if you want to gain a true and deep understanding of Computer Vision or Take this course if you have been trying to learn Computer Vision but: 1) still don't really understand Computer Vision, or 2) still don't feel confident to work real projects or Take this course if you already know Computer Vision and are looking for an advanced course. This course includes expert topics! or Take this course if you are interested in face recognition, early diagnosis of diseases, detection and location of objects and people, gestural interaction with systems, robot guidance or automatic driving It is particularly useful for Take this course if you want to gain a true and deep understanding of Computer Vision or Take this course if you have been trying to learn Computer Vision but: 1) still don't really understand Computer Vision, or 2) still don't feel confident to work real projects or Take this course if you already know Computer Vision and are looking for an advanced course. This course includes expert topics! or Take this course if you are interested in face recognition, early diagnosis of diseases, detection and location of objects and people, gestural interaction with systems, robot guidance or automatic driving.

Enroll now: The Complete Computer Vision Bootcamp: From Zero to Expert!

Summary

Title: The Complete Computer Vision Bootcamp: From Zero to Expert!

Price: $69.99

Average Rating: 4.5

Number of Lectures: 54

Number of Published Lectures: 51

Number of Curriculum Items: 54

Number of Published Curriculum Objects: 51

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Become an advanced, confident, and modern Computer Vision expert from scratch
Become job-ready by understanding how Computer Vision really works behind the scenes
Computer Vision fundamentals: digital image, discretization and quantification, color spaces, etc.
How to think and work like a developer: problem-solving, researching, workflows
Digital image processing: gray level transformations, geometric transformations, convolution, image enhancement and smoothing, morphological filters, etc.
Get fast and friendly support in the Q&A area
Complex concepts like the 'Mahalanobis' classifier, object identification, etc.
Image segmentation: región growing, split & merge, watershed, k-means, normalized cuts, etc.
Practice your skills with 50+ challenges and assignments (solutions included)

Who Should Attend

Take this course if you want to gain a true and deep understanding of Computer Vision
Take this course if you have been trying to learn Computer Vision but: 1) still don't really understand Computer Vision, or 2) still don't feel confident to work real projects
Take this course if you already know Computer Vision and are looking for an advanced course. This course includes expert topics!
Take this course if you are interested in face recognition, early diagnosis of diseases, detection and location of objects and people, gestural interaction with systems, robot guidance or automatic driving

Target Audiences

Take this course if you want to gain a true and deep understanding of Computer Vision
Take this course if you have been trying to learn Computer Vision but: 1) still don't really understand Computer Vision, or 2) still don't feel confident to work real projects
Take this course if you already know Computer Vision and are looking for an advanced course. This course includes expert topics!
Take this course if you are interested in face recognition, early diagnosis of diseases, detection and location of objects and people, gestural interaction with systems, robot guidance or automatic driving

You’ve just stumbled upon the most complete, in-depth Computer Vision course online.

Whether you want to:

– build the skills you need to get your first Computer Vision programming job

– move to a more senior software developer position

– become a computer scientist mastering in computation

– or just learn Computer Vision to be able to work with your own projects quickly.

…this complete Computer Vision Masterclass is the course you need to do all of this, and more.

This course is designed to give you the Computer Vision skills you need to become a Computer Vision expert. By the end of the course, you will understand Computer Vision extremely well and be able to work with your own Computer Vision projects and be productive as a computer scientist and software developer.

What makes this course a bestseller?

Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Computer Vision course. It’s designed with simplicity and seamless progression in mind through its content.

This course assumes no previous coding experience and takes you from absolute beginner core concepts. You will learn the core Computer Vision skills and master logic programming. It’s a one-stop shop to learn Computer Vision. If you want to go beyond the core content you can do so at any time.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

Understand the formation mechanisms of Digital Images and their characteristics.
Compare and select the most appropriate Image Preprocessing Tools depending on the problem to be solved.
Segment and Label the regions of an image based on their common characteristics and/or differences.
Know, design and efficiently apply the most suitable Descriptors for the characterization of Regions, Contours or Singular Points of an image.
Detect and recognize the presence of certain Items in an image.
Correctly carry out experiments aimed at evaluating the chosen or proposed methods, their limitations and weak points, based on objective results.
Detect Motion in a scene and Track Targets.

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have 7 days a week.

This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

There’s no risk either!

This course comes with a 30-day money-back guaranteed by Udemy. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I’ll refund you 100%, every last penny no questions asked.

You either end up with Computer Vision skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

You literally can’t lose.

Ready to get started, developer?

Enroll nowusing the “Add to Cart” button on the right, and get started on your way to creative, advanced Computer Vision brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, Computer Vision is waiting!)

Course Curriculum

Chapter 1: Introducción

Lecture 1: Introduction to the Course

Lecture 2: Working in MATLAB

Chapter 2: The Digital Image

Lecture 1: Basic Concepts

Lecture 2: Discretization of the Image

Lecture 3: Working with Images

Lecture 4: Domain Evaluation

Lecture 5: How to Save an Image

Lecture 6: Mesh Function

Chapter 3: Image Quantification

Lecture 1: Introduction to Colour Quantification

Lecture 2: RGB and HSI Models

Chapter 4: Image Preprocessing

Lecture 1: Introduction to Image Preprocessing

Lecture 2: Image Information Retrieval

Lecture 3: Gray Level Histogram

Lecture 4: Histogram Equalization

Lecture 5: Affine Transformation

Lecture 6: Arithmetic Operations

Lecture 7: Quality Control Project – Statement

Lecture 8: Quality Control Project – Solution – Part 1

Lecture 9: Quality Control Project – Solution – Part 2

Lecture 10: Introduction to Convolution

Lecture 11: Working with Convolution

Lecture 12: Image Noise and Smoothing Filters

Lecture 13: Contour Detection

Chapter 5: Morphological Image Processing

Lecture 1: Introduction to Morphological Image Processing

Lecture 2: Dilations

Lecture 3: Erosions

Lecture 4: Morphological Gradients

Lecture 5: Distance Transform

Lecture 6: Conditional Dilation and Reconstruction

Lecture 7: Challenge 1 – Wrench Reconstruction

Lecture 8: Challenge 2 – Greek Symbols

Lecture 9: Challenge 3 – Closed Holes

Lecture 10: Opening and Closing

Lecture 11: Gear Detection

Lecture 12: Skeletons

Lecture 13: Morphology for Multilevel Images

Lecture 14: Noise Elimination

Lecture 15: Final Applications

Lecture 16: Multilevel Reconstruction – Capping of Cell Nuclei

Lecture 17: Multilevel Reconstruction – Border Structures

Lecture 18: Regional Maxima and Minima

Chapter 6: Image Binarization

Lecture 1: Introduction to Image Binarization

Lecture 2: Techniques to Binarize an Image

Lecture 3: Labeling

Chapter 7: Image Segmentation

Lecture 1: Introduction to Image Segmentation

Lecture 2: Canny Edge Detector

Lecture 3: Watershed

Lecture 4: Automatic Markers Acquisition

Lecture 5: Separation of Objects

Lecture 6: K-Means Clustering

Lecture 7: K-Means Clustering Application

Instructors

Lucas Bazilio
Engineer and Mathematician

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 5 votes
5 stars: 8 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!

Menu