Computer Vision – Beginner Course

Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

This course introduces the fundamentals of computer vision, focusing on hand detection and finger counting. You’ll learn how to use the MediaPipe library to access and process camera input, detect hands, and analyze finger positions. Key concepts include image formation, hand landmarks, and finger-counting algorithms. The course culminates in developing a practical application using Streamlit.

What Will You Learn?

  • Understand the basics of image formation and representation
  • Apply image processing techniques for real-world tasks
  • Set up and use the MediaPipe library for hand detection
  • Recognize and analyze hand landmarks for finger counting
  • Integrate camera input into applications
  • Push projects to GitHub for version control
  • Build interactive applications with Streamlit
  • Complete a capstone project demonstrating practical computer vision skills

Course Content

Live Demo

  • Live Demo
    00:47

Computer Vision

Image and it’s Formation

Image Processing Techniques

Mediapipe

Initial Setup

Hand Detection and Finger Recognization

Integrate Camera Click

Pushing to GitHub

Add-On: Streamlit Integration

Capstone Project

Student Ratings & Reviews

No Review Yet
No Review Yet
Karkadigm
Simplfied Learning Experience

Get in Touch