Published 9/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.93 GB | Duration: 3h 52m
Implement OpenCV methods to solve real world problems.
What you’ll learn
Basics of image processing.
Some functions of numpy.
Learn to use OpenCV from scratch.
Make projects to solve real word problem.
Requirements
Basic programming knowledge.
Description
Computer Vision enables us to track humans and other object in real time. OpenCV – one of the popular Python libraries – allows us to explore the potential of Computer Vision without getting us caught up in syntax error. We will start from the installation process right up to creating exciting projects such as detecting colors, shapes humans, and even vehicle number plates. So if you are a beginner don’t worry this course is for you. We will skip all the boring theory stuff and focus on the practical implementation. So you can get the computer vision skill set you have always. By the end of the course, you will become familiar with the core principle of OpenCV and apply different techniques to solve real world problems using Computer Vision.This is a practical approach, so don’t expect too much from the theory, since you are going to learn the basic intuition of Computer Vision using OpenCV in Python. You will learn the basic intuition of different features provided by OpenCV library and then, we will implement and test them using PyCharm IDE.At the end of this course, you will be able to use your knowledge to create your own projects.
Overview
Section 1: Introduction
Lecture 1 Downloading Python and Pycharm
Lecture 2 What is RGB?
Lecture 3 Know your IDE
Section 2: Basics
Lecture 4 Read- images, video, webcam
Lecture 5 Accessing webcam (Code)
Lecture 6 Some functions
Lecture 7 Resizing and cropping
Lecture 8 Shapes and Texts on Image
Lecture 9 Joining images
Lecture 10 Warp Perspective
Section 3: Advance
Lecture 11 Color Detection
Lecture 12 Color Detection (Code)
Lecture 13 Real-time Contour/Shape Detection
Lecture 14 Shape Detection (Code)
Lecture 15 Face Detection
Lecture 16 Face Detection (Code)
Lecture 17 Creating your own Cascade file
Section 4: Projects
Lecture 18 Space Drawing
Lecture 19 Space Drawing (Code)
Lecture 20 Document Scanner
Lecture 21 Document Scanner (Code)
Lecture 22 Number Plate Detector
Lecture 23 Number Plate Detector (Code)
Beginner python developers willing to learn computer vision.,High school students who want to pursue further studies in Artificial Intelligence.,Undergraduate students who are studying subjects related to Artificial Intelligence.,Anyone interested in Artificial Intelligence or Computer Vision.
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