Książka Neural Network Computer Vision with OpenCV 5 Gopi Krishna Nuti

Neural Network Computer Vision with OpenCV 5

Język: Angielski
Oprawa: Miękka
Wydawca: BPB Publications
Dostępność: Dostępna u dostawcy
Wysyłamy za 9-15 dni
162.04
Unlocking computer vision with Python and OpenCVDESCRIPTION Neural Network Computer Vision with Ope...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2023
strony
266
EAN
9789355516961
ISBN
9355516967
Enbook ID
44666418
Waga
503
Wymiary
191 x 235 x 14

Pełny opis

Unlocking computer vision with Python and OpenCV


DESCRIPTION 

Neural Network Computer Vision with OpenCV equips you with professional skills and knowledge to build intelligent vision systems using OpenCV. It creates a sequential pathway for understanding morphological operations, edge and corner detection, object localization, image classification, segmentation, and advanced applications like face detection and recognition, and optical character recognition. 


This book offers a practical roadmap to explore the nuances of image processing with detailed discussions on each topic, supported by hands-on Python code examples. The readers will learn the basics of neural networks, deep learning and CNNs by using deep learning frameworks like Keras, Tensorflow, PyTorch, Caffe etc. They will be able to utilize OpenCV DNN module to classify images by using  models like Inception V3, Resnet 101, Mobilenet V2. Moreover, the book will help to successfully Implement object detection using YOLOv3, SSD and R-CNN models. The character detection and recognition models are also covered in depth with code examples.


You will gain a deeper understanding of how these techniques impact real-world scenarios and learn to harness the potential of Python and OpenCV to solve complex problems. Whether you are building intelligent systems, automating processes, or working on image-related projects, this book equips you with the skills to revolutionize your approach to visual data.


WHAT YOU WILL LEARN

Acquire expertise in image manipulation techniques.

Apply knowledge to practical scenarios in computer vision.

Implement robust systems for face detection and recognition.

Enhance projects with accurate object localization capabilities.

Extract text information from images effectively.


WHO THIS BOOK IS FOR

This book is designed for those with basic Python skills, from beginners to intermediate-level readers. Whether you are building intelligent robots that perceive their surroundings or crafting advanced vision systems for object detection and image analysis, this book will equip you with the tools and skills to push the boundaries of AI perception.





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