Computer Vision and Deep Learning A-Z: Opencv Pytorch python

Computer Vision and Deep Learning A-Z: Opencv Pytorch python, available at $27.99, has an average rating of 3.85, with 15 lectures, based on 17 reviews, and has 1023 subscribers.

You will learn about One who want to start their carrier in computer vision. Students in college who want to get a jump start on their computer vision research Anyone interested in using Deep Learning for Computer Vision should join on. Software developers and engineers that wish to learn more about computer vision This course is ideal for individuals who are If you want to learn more about Computer Vision and Deep Learning, Or are you already a seasoned pro. Regardless of your skill level. It is particularly useful for If you want to learn more about Computer Vision and Deep Learning, Or are you already a seasoned pro. Regardless of your skill level.

Enroll now: Computer Vision and Deep Learning A-Z: Opencv Pytorch python

Summary

Title: Computer Vision and Deep Learning A-Z: Opencv Pytorch python

Price: $27.99

Average Rating: 3.85

Number of Lectures: 15

Number of Published Lectures: 15

Number of Curriculum Items: 15

Number of Published Curriculum Objects: 15

Original Price: ₹2,899

Quality Status: approved

Status: Live

What You Will Learn

One who want to start their carrier in computer vision.
Students in college who want to get a jump start on their computer vision research
Anyone interested in using Deep Learning for Computer Vision should join on.
Software developers and engineers that wish to learn more about computer vision

Who Should Attend

If you want to learn more about Computer Vision and Deep Learning, Or are you already a seasoned pro. Regardless of your skill level.

Target Audiences

If you want to learn more about Computer Vision and Deep Learning, Or are you already a seasoned pro. Regardless of your skill level.

What you’ll learn

This new era is being revolutionized by computer you can see around yourself and have a look. How fast the things are changing I am here to tech you the computer vision from very basic to very advance. This journey will be mostly project basis. I mean that we will learn the concept and will see how to utilize these concept to build the amazing application.

As an instructor I want you to write the code buy your self rather than copy paste from the given one this will give you addition confidence in writing the code.

In this course we will work on things are remote heart rate measurement, iris tracking, sudoko solver, Face-recognition system, ANPR(Automatic number-plate recognition) I will try my best to cover most of the technique we can use to solve the given problem and your suggestions will be always welcomed you me.

We will also cover the deep Learning and machine learning to solve the given problem.

Are there any course requirements or prerequisites?

Must know basic python

Who this course is for:

If you want to learn more about Computer Vision and Deep Learning, Or are you already a seasoned pro. Regardless of your skill level.

Amar Jeet Kushwaha

Course Curriculum

Chapter 1: Introduction to Images

Lecture 1: What is an Image

Lecture 2: Reading an Image

Lecture 3: Converting Image to GayImage

Lecture 4: Read Feed From Camara

Lecture 5: ReadFeedFromVideo

Chapter 2: Basic Image Processing Operations

Lecture 1: Drawing With OpenCV

Lecture 2: ImageTranslation

Lecture 3: ImageRotation

Lecture 4: Customize Shape Drawing fillConvexPoly, fillPoly

Chapter 3: Image Similarity Calculation

Lecture 1: Image Similarity Calculation Code Implementation

Chapter 4: Morphological image processing

Lecture 1: Erosion and Dilation of images

Chapter 5: Object Detecting and tracking

Lecture 1: Find and Determine the shape of object using Contours in OpenCV

Lecture 2: Image Masking

Lecture 3: Automatic Number Plate Detection and Recognition

Lecture 4: Face Detection using harcaschade

Instructors

Amar Jeet Kushwaha
I teach machines

Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 1 votes
5 stars: 12 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?

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