OpenCV Practical with Python 3 Complete Projects + CODE

OpenCV Practical with Python – 3 Complete Projects + CODE, available at $54.99, has an average rating of 3.55, with 50 lectures, based on 37 reviews, and has 316 subscribers.

You will learn about 3 Different Projects Using OpenCV PROJECT 1 : Motion Detector App [ Which Detects Any Motion in Webcam or Video] PROJECT 2 : Building a Hand Detector App [Which Detects Motion of Your Hand] PROJECT 3 : Face Recognition App This course is ideal for individuals who are Data Science / Machine Learning Enthusiastic or Who Wants to Acquire Practical OpenCV Knowledge and Skills or Who Wants To Level Up there OpenCV knowledge It is particularly useful for Data Science / Machine Learning Enthusiastic or Who Wants to Acquire Practical OpenCV Knowledge and Skills or Who Wants To Level Up there OpenCV knowledge.

Enroll now: OpenCV Practical with Python – 3 Complete Projects + CODE

Summary

Title: OpenCV Practical with Python – 3 Complete Projects + CODE

Price: $54.99

Average Rating: 3.55

Number of Lectures: 50

Number of Published Lectures: 50

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

3 Different Projects Using OpenCV

PROJECT 1 : Motion Detector App [ Which Detects Any Motion in Webcam or Video]

PROJECT 2 : Building a Hand Detector App [Which Detects Motion of Your Hand]

PROJECT 3 : Face Recognition App

Who Should Attend

Data Science / Machine Learning Enthusiastic

Who Wants to Acquire Practical OpenCV Knowledge and Skills

Who Wants To Level Up there OpenCV knowledge

Target Audiences

Data Science / Machine Learning Enthusiastic

Who Wants to Acquire Practical OpenCV Knowledge and Skills

Who Wants To Level Up there OpenCV knowledge

***  THIS COURSE IS NOT FOR BEGINNERS ****

*** ONLY FOR INTERMEDIATE LEVEL USER ****

Do you want to Make Practical Application Using Python and OpenCV?

If yes then this course is designed for you.

In this course, we are going to make 3 Interactive Projects using Python+ OpenCV

1. Project # 1: Building a Motion Detector App

2. Project # 2: Building a Hand Detector App

3. Project #3 : Face Recognition App

Before Taking the Course:

You SHOULD HAVE the Basic Knowledge in OpenCV and Python. Here we just Develop the app and its features – 100% Practical.

What is OpenCV?

OpenCV (Open Source Computer Vision) is an open source library of computer vision, image analysis and machine learning. To do this, it has an infinity of algorithms that allow, just by writing a few lines of code, identifying faces, recognizing objects, classifying them, detecting hand movements

OpenCV is a multiplatform library available for Windows, Mac, Linux and Android distributed under BSD license. It can be programmed with C, C ++, Python, Java and Matlab.

Course Curriculum

Chapter 1: Overview and Environment Setup

Lecture 1: Meet Your Instructor!

Lecture 2: Course Curriculum Overview

Chapter 2: Tools For OpenCV

Lecture 1: Matlab vs. C++ vs. Python – Matlab pros and cons

Lecture 2: [NOTE] Matlab vs. C++ vs. Python – Matlab pros and cons

Lecture 3: Matlab vs. C++ vs. Python – C++ pros and cons

Lecture 4: [STUDY NOTE] Matlab vs. C++ vs. Python – C++ pros and cons

Lecture 5: Matlab vs. C++ vs. Python – Python pros and cons

Lecture 6: [NOTE] Matlab vs. C++ vs. Python – Python pros and cons

Chapter 3: OpenCV Introduction and Environment Setup

Lecture 1: What is OpenCV?

Lecture 2: [ STUDY NOTE] What is OpenCV

Lecture 3: Environment Setup – Managing Python Versions

Lecture 4: [STUDY NOTE] Environment Setup – Managing Python Versions

Lecture 5: Environment Setup – Installing pyenv

Lecture 6: [STUDY NOTE] Environment Setup – Installing pyenv

Lecture 7: Environment Setup – Installing venv and Opencv

Lecture 8: [STUDY NOTE] Environment Setup – Installing venv and Opencv

Chapter 4: Project #1 : Building a Motion Detector App

Lecture 1: PROJECT Motion Detection Part#1

Lecture 2: [ STUDY NOTE ] PROJECT Motion Detection Part#1

Lecture 3: [CODE] PROJECT PART #1

Lecture 4: Motion Detection PROJECT Part#2

Lecture 5: Motion Detection PROJECT Part#3

Lecture 6: Motion Detection PROJECT Part#4

Lecture 7: Motion Detection PROJECT Part#5

Lecture 8: Motion Detection PROJECT Part#6

Lecture 9: [FULL CODE] Building a Motion Detector App

Chapter 5: Project #2 : Building a Hand Detector App

Lecture 1: Hand Detector PROJECT Part #1

Lecture 2: Hand Detector PROJECT Part #2

Lecture 3: Hand Detector PROJECT Part #3

Lecture 4: Hand Detector PROJECT Part #4

Lecture 5: Hand Detector PROJECT Part #5

Lecture 6: Hand Detector PROJECT Part #6

Lecture 7: Hand Detector PROJECT Part #7

Lecture 8: Hand Detector PROJECT Part #8

Lecture 9: [FULL CODE] Building a Hand Detector App

Chapter 6: Project #3 : Face Recognition App

Lecture 1: Face Recognition PROJECT Part #1

Lecture 2: Face Recognition PROJECT Part #2

Lecture 3: Face Recognition PROJECT Part #3

Lecture 4: [STUDY NOTE ] Face Recognition PROJECT Part #3

Lecture 5: Face Recognition PROJECT Part #4

Lecture 6: [STUDY NOTE] Face Recognition PROJECT Part #4

Lecture 7: [COMMAND USED IN THIS LECTURE ] Face Recognition PROJECT Part #4

Lecture 8: Face Recognition PROJECT Part #5

Lecture 9: Face Recognition PROJECT Part #6

Lecture 10: Face Recognition PROJECT Part #7

Lecture 11: Face Recognition PROJECT Part #8

Lecture 12: Face Recognition PROJECT Part #9

Lecture 13: Face Recognition PROJECT Part #10

Lecture 14: Face Recognition Part #11

Lecture 15: Face Recognition PROJECT Part #12

Lecture 16: Face Recognition PROJECT Part #13

Instructors

Up Degree
New Skills Everyday!

Rating Distribution

1 stars: 5 votes

2 stars: 3 votes

3 stars: 5 votes

4 stars: 7 votes

5 stars: 17 votes

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