Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models
July 19 2022
Author: Akshay Kulkarni，Adarsha Shivananda，Nitin Ranjan Sharma(Author)
Publisher finelybook 出版社: Apress; 1st ed. edition (July 19 2022)
Language 语言: English
Print Length 页数: 362 pages
ISBN-10: 1484282728
ISBN-13: 9781484282724
Book Description
Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.
The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you through the implementation of image classification problems, object detection techniques, and transfer learning while training and running inference. The book covers image segmentation and an anomaly detection model. And it discusses the fundamentals of video processing for computer vision tasks putting images into videos. The book concludes with an explanation of the complete model building process for deep learning frameworks using optimized techniques with highlights on model AI explainability.
After reading this book, you will be able to build your own computer vision projects using transfer learning and PyTorch.
What You Will Learn
Solve problems in computer vision with PyTorch.
Implement transfer learning and perform image classification, object detection, image segmentation, and other computer vision applications
Design and develop production-grade computer vision projects for real-world industry problems
Interpret computer vision models and solve business problems
