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Comprehensive OpenCV C++ tutorial covering image processing, computer vision techniques, and practical projects. Ideal for beginners and those seeking hands-on implementation skills in computer vision.
Learn face recognition with real-time database integration using computer vision techniques. Develop skills in encoding, database management, and attendance tracking through hands-on projects and practical implementations.
Learn to create real-world computer vision applications using Arduino, from basic exercises to exciting projects like gesture control and face tracking. Gain practical knowledge to build your own innovative ideas.
Comprehensive tutorial on creating realistic deepfakes using Deep Face Lab, covering theory, step-by-step process, and practical implementation for both GPU and CPU users.
Learn object detection fundamentals and apply skills in four practical projects, including car counting, people counting, PPE detection, and poker hand recognition using YOLO and computer vision techniques.
Learn to build a computer vision system that accurately counts and identifies money and coins using OpenCV, covering setup, image processing, object detection, and color analysis.
Learn to create a virtual shirt try-on system using computer vision techniques. Explore pose detection, image manipulation, and interactive features for a realistic digital fitting experience.
Learn to create a virtual coffee machine interface using computer vision techniques, including hand detection, selection modes, and interactive elements.
Learn to detect American Sign Language hand signs using computer vision techniques, from setup to customization, with practical coding examples and hands-on training.
Learn to build a Rock Paper Scissors game using OpenCV and Python, covering webcam integration, hand detection, AI opponent moves, and scoring system implementation.
Learn to build an AI typing tutor using OpenCV and Python, integrating computer vision techniques with Unity for an interactive and engaging learning experience.
Learn 3D head tracking and car movement in computer vision, integrating face detection with Unity for interactive camera control and smooth motion simulation.
Learn to implement 3D hand tracking in virtual environments using Python, OpenCV, and Unity. Gain practical skills in computer vision and real-time data transfer for interactive applications.
Learn to overlay PNG images and logos on images and webcams using OpenCV, plus create rotating gear mechanisms with image rotation techniques in this hands-on computer vision tutorial.
Learn computer vision fundamentals and apply them to real-world projects using Jetson Nano. Develop skills in eye tracking, self-driving car simulation, and face recognition with hands-on experience.
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