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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