Complete Computer Vision Bootcamp, Zero-Hero in Python

Complete Computer Vision Bootcamp, Zero-Hero in Python, available at $19.99, has an average rating of 4.2, with 47 lectures, based on 23 reviews, and has 84 subscribers.

You will learn about You will Learn How to Code in Python and some advance library of Python. Understand how to do numpy operation and use numpy in images. Perform Image Manipulation using OpenCV Learn how to create your own images. Learn how to Draw on image using mouse. Real Time Edge Detection Using webcam. Image Processing Techniques like, Color Mapping, Image Thresholding, Image Blending, Edge Detection Learn how to apply openCv in you own field. Learn how to build a resume project. Learn how to Use Webcam for real time Image Processing. This course is ideal for individuals who are Beginner at Computer Vision. And want to learn advance concepts in Computer Vision. or Beginner at OpenCV. And want to learn advance concepts in OpenCV with Python. or Beginner in Image Processing. And want to learn advance concepts of Image Processing using Python. It is particularly useful for Beginner at Computer Vision. And want to learn advance concepts in Computer Vision. or Beginner at OpenCV. And want to learn advance concepts in OpenCV with Python. or Beginner in Image Processing. And want to learn advance concepts of Image Processing using Python.

Enroll now: Complete Computer Vision Bootcamp, Zero-Hero in Python

Summary

Title: Complete Computer Vision Bootcamp, Zero-Hero in Python

Price: $19.99

Average Rating: 4.2

Number of Lectures: 47

Number of Published Lectures: 47

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

You will Learn How to Code in Python and some advance library of Python.

Understand how to do numpy operation and use numpy in images.

Perform Image Manipulation using OpenCV

Learn how to create your own images.

Learn how to Draw on image using mouse.

Real Time Edge Detection Using webcam.

Image Processing Techniques like, Color Mapping, Image Thresholding, Image Blending, Edge Detection

Learn how to apply openCv in you own field.

Learn how to build a resume project.

Learn how to Use Webcam for real time Image Processing.

Who Should Attend

Beginner at Computer Vision. And want to learn advance concepts in Computer Vision.

Beginner at OpenCV. And want to learn advance concepts in OpenCV with Python.

Beginner in Image Processing. And want to learn advance concepts of Image Processing using Python.

Target Audiences

Beginner at Computer Vision. And want to learn advance concepts in Computer Vision.

Beginner at OpenCV. And want to learn advance concepts in OpenCV with Python.

Beginner in Image Processing. And want to learn advance concepts of Image Processing using Python.

Welcome to the Complete Computer Vision Bootcamp Course With OpenCv Python 2020.

Highest Rated Course

This Course is will teach you Computer Vision and Image Processing Techniques From Basic to Advance Level.

This Course Provide all high quality content to learn and become Industry level Expert. We worked Really hard to explain the concepts of Computer Vision and Image Processing and the necessary mathematics behind each concept. You will get a Clear Idea about how computer understand and work with images and video Data.

We will Start with a Short Python course where you will learn to code in python and will have clear understanding of python syntax and some advance concepts like python generators along with Object Oriented Programming. So Even if Your are a complete Beginner, you are going to learn everything provided in this course.

After python Crash Course we will start with numpy and images basics, there we will learn how to read images as numpy array and to manipulate images with numpy.

Then we will move on to Image basics with openCV, there you willl learn how to open, create and to draw on the created blank image.

After that you will learn

Image Processing Techniques Using OpenCv like: Color Mapping, Image Blending, Image Thresholding, Morphology, Real Time Edge Detection Using Webcam and OpenCv in Python.

Then We will Make a Project which is in demand and you can directly put it in your resume.

Overall After Completing This Course You will be Expert in Computer Vision and Image Processing.

Course Curriculum

Chapter 1: Course Content Overview

Lecture 1: Course Content

Chapter 2: Environment Setup

Lecture 1: Anaconda and OpenCV Installation

Chapter 3: Python Crash Course

Lecture 1: Python Strings

Lecture 2: Python Numbers

Lecture 3: Python Arithmetic Operations

Lecture 4: Booleans And Conditional Statements

Lecture 5: While Loop and For Loop In Python

Lecture 6: Data Structures (List Tuples Dictionaries

Lecture 7: Functions In Python

Lecture 8: Lambda Expression (Anonymous Functions)

Lecture 9: Python Generator Concept

Lecture 10: Object-Oriented Programming In Python

Chapter 4: Numpy and Images Basics

Lecture 1: Numpy

Lecture 2: Image Introduction

Lecture 3: Images with Numpy

Chapter 5: Images with OpenCV Basics

Lecture 1: Image Basics With OpenCV

Lecture 2: Opening Images with OpenCV

Lecture 3: Drawing On image

Lecture 4: Drawing on Image Using Mouse

Lecture 5: Drawing on Image By Dragging Mouse

Lecture 6: Making RGB Slider using Trackbar in OpenCV

Chapter 6: Image Processing Techniques

Lecture 1: Section Introduction

Lecture 2: Color Mapping

Lecture 3: Image Arithmetic

Lecture 4: Image Thresholding

Lecture 5: Test Assignment 01 Problem Statement

Lecture 6: Test Assignment 01 Solution

Lecture 7: Blurring And Smoothing Images

Lecture 8: Morphology Part -A

Lecture 9: Morphology Part -B

Lecture 10: Test Assignment 02 – Problem Statement

Lecture 11: Test Assignment 02 – Solution

Chapter 7: WebCam Basics With OpenCV

Lecture 1: Section Introduction

Lecture 2: Histogram Analysis

Lecture 3: Edge Detection Part-A

Lecture 4: Edge Detection Part-B

Lecture 5: Using Webcam By OpenCV

Lecture 6: Reading Video Files Using OpenCV

Chapter 8: Project – Air Stylus Pen

Lecture 1: Section Introduction

Lecture 2: Motivation and Features Selection

Lecture 3: How will we Draw

Lecture 4: Air Stylus Introduction

Lecture 5: (Code Along) – Initialization

Lecture 6: (Code Along) – User Interface Design

Lecture 7: (Code Along) – Backend Part – A

Lecture 8: (Code Along) – Backend Part – B

Lecture 9: End [OPTIONAL]

Instructors

Aman Anand
Computer Science Engineer From Amity University, India

Rajat Bansal
SWE (Site Reliability Engineer)

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 4 votes

5 stars: 16 votes

Frequently Asked Questions

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