Paul McWhorter Courses

AI for Everyone - Face Recognition with OpenCV

Learn to implement face recognition using OpenCV and Python. Covers model training, face detection in images, and practical demonstrations with a webcam.

• YouTube
• 24 minutes
• On-Demand
• Free Video

AI for Everyone - Face Recognition with OpenCV

Learn face recognition using OpenCV and Python. Covers importing images, setting up environments, finding faces, encoding, and labeling. Practical guide for implementing facial recognition in computer vision projects.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

AI for Everyone - Tracking an Object Based on Color in OpenCV

Learn to track objects by color using OpenCV with step-by-step instructions. Create masks, use trackbars for model training, and apply techniques for effective color-based object detection.

• YouTube
• 59 minutes
• On-Demand
• Free Video

AI for Everyone - Understanding the HSV Color Space

Explore the HSV color space for effective object tracking in OpenCV. Learn about hue, saturation, and value components to enhance your computer vision projects.

• YouTube
• 53 minutes
• On-Demand
• Free Video

AI for Everyone - Creating and Using Trackbars in OpenCV

Learn to create and use trackbars in OpenCV for dynamic parameter control in real-time video processing, with step-by-step guidance suitable for beginners.

• YouTube
• 40 minutes
• On-Demand
• Free Video

AI for Everyone - Processing Mouse Clicks and Events in OpenCV

Learn to process mouse clicks and events in OpenCV for interactive AI applications. Step-by-step tutorial covers creating programs, handling global events, and implementing right-click functionality.

• YouTube
• 34 minutes
• On-Demand
• Free Video

AI for Everyone - Understanding ROI in OpenCV

Learn to create, manipulate, and animate Regions of Interest (ROI) in OpenCV, optimizing AI computations and enhancing image processing efficiency.

• YouTube
• 45 minutes
• On-Demand
• Free Video

AI for Everyone - Creating Checkerboard Pattern in OpenCV

Learn to create a checkerboard pattern using OpenCV and Python, mastering numpy slice functions and array manipulation for visual programming projects.

• YouTube
• 39 minutes
• On-Demand
• Free Video

AI for Everyone - Faster Launch of Webcam and Smoother Video in OpenCV on Windows

Learn to optimize webcam performance in OpenCV on Windows, including faster launch and smoother video capture, with practical coding examples and hardware recommendations.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Python 3D Graphics - Understanding 3D Graphic Parameters

Learn to create and manipulate 3D graphics in Python using VPython. Explore parameters, design techniques, and bring your models to life with step-by-step guidance for beginners.

• YouTube
• 32 minutes
• On-Demand
• Free Video

AI for Everyone - Introduction to Artificial Intelligence for Absolute Beginners

Beginner-friendly introduction to AI concepts, Python, and OpenCV, covering face, hand, and body detection techniques for absolute beginners.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Introduction to Animating Objects in Vpython

Learn to animate objects in Vpython with hands-on examples. Explore creating and manipulating visual elements like boxes, cylinders, and arrows while mastering key concepts such as loops and positioning.

• YouTube
• 24 minutes
• On-Demand
• Free Video

AI on the Jetson Nano - Running the Raspberry Pi Camera in OpenCV

Learn to launch and view Raspberry Pi camera and webcam streams on Jetson Nano using OpenCV. Covers setup, camera settings, and basic image processing techniques for AI applications.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Understanding How to Use a Stepper Motor

Learn to control stepper motors with Arduino, including direction and speed adjustments. Hands-on tutorial covers wiring, programming, and troubleshooting for precise motor control in various applications.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Axis IMU - Passing Data From Arduino to Python

Learn to transmit data from Arduino to Python, enabling advanced 3D visualizations and sophisticated data processing for IMU sensors. Explore code implementation and data handling techniques.

• YouTube
• 38 minutes
• On-Demand
• Free Video