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Computer vision projects with PyTorch : design and develop production-grade models / Akshay Kulkarni, Adarsha Shivananda, Nitin Ranjan Sharma.

Kulkarni, Akshay, author.; Shivananda, Adarsha, author.; Sharma, Nitin Ranjan, author.
2022
TA1634
Available Online
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Title
Computer vision projects with PyTorch : design and develop production-grade models / Akshay Kulkarni, Adarsha Shivananda, Nitin Ranjan Sharma.
Author
Kulkarni, Akshay, author.
ISBN
9781484282731 (electronic bk.)
1484282736 (electronic bk.)
9781484282724
1484282728
DOI
https://doi.org/10.1007/978-1-4842-8273-1
Published
New York, NY : Apress, [2022]
Copyright
©2022
Language
English
Description
1 online resource (xvi, 346 pages) : illustrations
Item Number
10.1007/978-1-4842-8273-1 doi
Call Number
TA1634
Dewey Decimal Classification
006.3/7
Summary
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 Who This Book Is For Data scientists and machine learning engineers interested in building computer vision projects and solving business problems.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 1, 2022).
Added Author
Shivananda, Adarsha, author.
Sharma, Nitin Ranjan, author.
Available in Other Form
Print version: 9781484282724
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Chapter 1: The Building Blocks of Computer Vision
Chapter 2: Image Classification
Chapter 3: Building Object Detection Model
Chapter 4: Building Image Segmentation Model
Chapter 5: Image-Based Search and Recommendation System
Chapter 6: Pose Estimation
Chapter 7: Image Anomaly Detection
Chapter 8: Image Super-Resolution
Chapter 9: Video Analytics
Chapter 10: Explainable AI for Computer Vision.

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