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Keep shoppingOpenCV Practical with Python - 3 Complete Projects + CODE
318 students
OpenCV Practical with Python - 3 Complete Projects + CODE
OpenCV to Computer Vision app Like Face Recognition, Motion Detector, Hand Detector
Created byUp Degree
Last updated 11/2019
English
What you'll 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
Explore related topics
Course content
6 sections • 50 lectures • 3h 15m total length
Requirements
- THIS IS AN INTERMEDIATE LEVEL COURSE NOT FOR BEGINNERS
- You need to know the BASIC concepts of OpenCV and Python (MUST)
- Basic Linux Command Knowledge is an Added Advantage
Description
*** 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
Project # 1: Building a Motion Detector App
Project # 2: Building a Hand Detector App
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.
Who this course is for:
- Data Science / Machine Learning Enthusiastic
- Who Wants to Acquire Practical OpenCV Knowledge and Skills
- Who Wants To Level Up there OpenCV knowledge