Advanced Computer Vision with Python - Full Course

Overview

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Dive into state-of-the-art computer vision techniques through this comprehensive 7-hour course. Master advanced concepts by building five practical projects using Python libraries like OpenCV and Mediapipe. Begin with the fundamentals of hand tracking, pose estimation, face detection, and face mesh before applying these skills to create innovative applications. Develop a gesture-controlled volume system, design a finger counter, craft an AI personal trainer, build a virtual painter, and construct a virtual mouse. Suitable for beginners and experienced programmers alike, the course offers step-by-step guidance through each module and project, ensuring a solid grasp of advanced computer vision principles and their real-world applications.

Syllabus

Intro .
Chapter 1 - Hand Tracking - Basics .
Chapter 1 - Hand Tracking - Module.
Chapter 2 - Pose Estimation - Basics.
Chapter 2 - Pose Estimation - Module.
Chapter 3 - Face Detection - Basics.
Chapter 3 - Face Detection - Module.
Chapter 4 - Face Mesh - Basics.
Chapter 4 - Face Mesh - Module.
Project 1 - Gesture Volume Control.
Project 2 - Finger Counter.
Project 3 - AI Personal Trainer.
Project 4 - AI Virtual Painter.
Project 5 - AI Virtual Mouse.