Computer Vision Mastery: OpenCV & MediaPipe for Real-World Applications
Learn computer vision fundamentals using OpenCV, MediaPipe, and CVZone to build real-time detection systems and gesture-controlled applications. Ideal for Python developers and beginners seeking practical skills in face recognition, object detection, and AI-powered visual projects.
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What you'll learn— skills you'll gain
- Install and configure OpenCV in a Python virtual environment
- Read, display, and manipulate images using cv2 image processing functions
- Capture live video feeds from webcams and process frames in real-time
- Save processed images and video frames to disk in various formats
- Implement face detection, hand landmark detection, and gesture recognition using MediaPipe
- Add professional bounding boxes, text overlays, and watermarks using CVZone
- Build complete camera applications with custom visual overlays and annotations
- Integrate multiple computer vision models into cohesive, functional applications
Course content
VIDEO file: OpenCV 1.mp4
VIDEO file: OpenCV 2.mp4
VIDEO file: OpenCV 3.mp4
VIDEO file: OpenCV 4.mp4
About this course
Master the fundamentals of computer vision and learn to build intelligent visual applications from scratch. This comprehensive course takes you from basic image manipulation to advanced real-time detection systems using industry-standard libraries. You'll start by installing and configuring OpenCV, then progress through image reading, display, and manipulation techniques. Learn to capture live video feeds from webcams, save processed images, and create functional camera applications. The course then introduces MediaPipe, Google's powerful framework for building perception pipelines, enabling you to implement face detection, hand landmark detection, and gesture recognition with minimal code. Finally, you'll discover CVZone, a high-level library that simplifies MediaPipe integration and allows you to add professional-quality bounding boxes, text overlays, and watermarks to your projects. By the end, you'll have the skills to build face recognition systems, object detection applications, gesture-controlled interfaces, and more. Perfect for beginners wanting to enter computer vision, intermediate Python developers seeking specialized skills, or anyone building AI-powered visual applications.
Meet your instructor
AI Agents & GenAI Mentor | AI Coach to 300K+ | Founder @GetSetCode | Ex-OpenAI UC Dev
Hello, I am Arbaz Khan, a Computer Science Engineer. I have experience in IoT, Python, Data Science, and learning New Technologies. Also, I am good at C, C++, JAVA. I love to Automate things like Home Automation and other tasks using Python Programming Language. I'm also running my own startup named GetSetCode were We are working on innovative real-time projects related to AI, ML, IOT, Automation, and Robotics.