
English | February 3, 2025 | ASIN: B0DVZKJK42 | 333 pages | PDF | 3.62 Mb
Hands-On Python and Computer Vision: A Practical Guide with OpenCV Are you ready to unlock the potential of computer vision and transform the way machines perceive the world? Hands-On Python and Computer Vision: A Practical Guide with OpenCV is your step-by-step guide to mastering image processing, object detection, deep learning, and real-world vision applications. Why This Book? What You’ll Learn Who Should Read This Book? Why Choose This Book Over Others?
Master the Power of Computer Vision with Python and OpenCV
• Comprehensive & Hands-On – Covers fundamental to advanced OpenCV techniques with practical examples.
• Real-World Projects – Learn by building image classifiers, facial recognition systems, object detection models, and video processing pipelines.
• AI & Deep Learning Integration – Explore how OpenCV works with TensorFlow, PyTorch, and YOLO to enhance vision-based AI solutions.
• Optimized for Python – Uses Python 3.x for easy, efficient, and scalable implementations.
• For Beginners & Professionals – Whether you're a student, developer, researcher, or AI enthusiast, this book provides the skills needed to build powerful vision-based applications.
• Setting up OpenCV and Python for computer vision projects
• Image processing techniques: resizing, filtering, edge detection, and thresholding
• Feature detection, object tracking, and contour analysis
• Real-time video processing and motion analysis
• Integrating OpenCV with machine learning and deep learning frameworks
• Building real-world applications like face mask detection, gesture recognition, and surveillance systems
• Beginners looking to get started with Python-based computer vision
• Developers & Engineers seeking practical OpenCV applications
• AI & Machine Learning Enthusiasts integrating vision-based intelligence
• Researchers & Students exploring advanced image processing techniques
• Clear Explanations & Code Examples – Every concept is explained with easy-to-follow Python code.
• Practical Approach – Less theory, more hands-on coding and real-world projects.
• Updated & Relevant – Covers the latest OpenCV features and AI-powered applications.
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