Professional Certificate In Computer Vision With Opencv

Master OpenCV and MediaPipe: Learn Image Processing, Object Detection, Gesture Control, and Real-time Applications.

What you'll learn

Gain hands-on experience with OpenCV to process and manipulate images and videos.

Master real-time applications such as hand tracking, pose estimation, and gesture recognition with MediaPipe.

Learn advanced techniques like feature detection, object recognition, and image segmentation.

Build and deploy machine learning models for computer vision tasks like object detection and face recognition.

Requirements

Basic knowledge of Python programming. Familiarity with computer science and programming fundamentals. No prior experience in computer vision is required.

Description

This comprehensive course is designed to guide you through the essentials and advanced concepts of computer vision using OpenCV and MediaPipe. You will start by understanding the basics of image processing, including loading, displaying, and saving images. As you progress, you'll dive into intermediate topics like image filtering, edge detection, and contour analysis. The course also covers advanced applications such as pose estimation, hand tracking, and facial recognition with MediaPipe.Throughout the course, you will work on practical projects, such as building a document scanner, creating a real-time gesture-controlled media player, and applying machine learning models for object detection and face recognition. By the end of the course, you'll be equipped to integrate OpenCV and MediaPipe in your projects, design custom computer vision applications, and deploy real-time systems for various industries.The course includes hands-on exercises, mini-projects, and a capstone project that helps solidify your learning. Whether you're an aspiring computer vision developer or an AI enthusiast, this course provides the skills necessary to tackle real-world computer vision problems and enhance your career.Master OpenCV and MediaPipe: Learn Image Processing, Object Detection, Gesture Control, and Real-time Applications."Join 'Master OpenCV & MediaPipe' to learn image processing, object detection, and real-time apps!"

Overview

Section 1: Introduction

Lecture 1 Day 1: Introduction

Lecture 2 Day 2: Image Basics

Lecture 3 Day 3: Basic Image Operations

Lecture 4 Day 4: Drawing and Editing

Lecture 5 Day 5: Video Processing Basics

Lecture 6 Day 6: Image Thresholding

Lecture 7 Day 7: Recap and Mini-Project

Section 2: WEEK2

Lecture 8 Day 8: Image Filtering and Edge Detection

Lecture 9 Day 9: Contour Detection

Lecture 10 Day 10: Feature Detection and Matching

Lecture 11 Day 11: Morphological Operations

Lecture 12 Day 12: Image Transformations

Lecture 13 Day 13: Histograms and Color Normalization

Lecture 14 Day 14: Mini-Project

Section 3: Week 3: MediaPipe and Advanced Applications

Lecture 15 Day 15: Introduction to MediaPipe

Lecture 16 Day 16: Hand Tracking

Lecture 17 Day 17: Pose Estimation

Lecture 18 Day 18: Face Detection and Landmarks

Lecture 19 Day 19: Integration of MediaPipe Features

Lecture 20 Day 20: Recap and Mini-Project

Section 4: Week 4: Machine Learning with OpenCV

Lecture 21 Day 21: Machine Learning Basics

Lecture 22 Day 22: Object Detection

Lecture 23 Day 23: Face Recognition

Lecture 24 Day 24: Image Segmentation

Lecture 25 Day 25: Custom Model Integration

Lecture 26 Day 26: Practice and Mini-Project

Lecture 27 Day 27: Capstone Project Kickoff

Lecture 28 Day 28: Capstone Project Development

Lecture 29 Day 29: Capstone Project Finalization

Lecture 30 Day 30: Showcase and Wrap-Up

Aspiring computer vision developers, AI enthusiasts, and Python programmers. Students or professionals seeking to enhance their skills in computer vision, image processing, and machine learning. Anyone interested in building real-time applications using OpenCV and MediaPipe.