Hands-On Python And Computer Vision: A Practical Guide With Opencv
English | February 3, 2025 | ASIN: B0DVZKJK42 | 333 pages | EPUB | 3.62 Mb
Hands-On Python and Computer Vision: A Practical Guide with OpenCV
Master the Power of Computer Vision with Python and 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?
• 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.
What You'll Learn
• 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
Who Should Read This Book?
• 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
Why Choose This Book Over Others?
• 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.
Hands-On Python And Computer Vision: A Practical Guide With Opencv
