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portada See Like a Machine. Computer Vision Mastery with PyTorch: Detection, Segmentation, and Real-Time Inference (en Inglés)
Formato
Libro Físico
Año
2026
Idioma
Inglés
N° páginas
324
Encuadernación
Tapa Blanda
Dimensiones
22.9x15.2x1.7 cm
ISBN13
9798257900730

See Like a Machine. Computer Vision Mastery with PyTorch: Detection, Segmentation, and Real-Time Inference (en Inglés)

Richard Boozman (Autor) · Independently published · Tapa Blanda

See Like a Machine. Computer Vision Mastery with PyTorch: Detection, Segmentation, and Real-Time Inference (en Inglés) - RICHARD BOOZMAN

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Reseña del libro "See Like a Machine. Computer Vision Mastery with PyTorch: Detection, Segmentation, and Real-Time Inference (en Inglés)"

Detection, segmentation, and real time inference for modern AI systems

Machines do not just see.
They interpret.

From self driving cars to medical imaging and intelligent surveillance, computer vision powers systems that understand the visual world at scale.

"See Like a Machine" is a practical, hands on guide to mastering computer vision using PyTorch and Python.

This book takes you from foundational concepts to building high performance, real time vision systems used in modern AI applications.


Why computer vision is essential today

Visual data is everywhere.

To unlock its value, systems must be able to:

detect objects in images and videosegment scenes at the pixel leveltrack movement over timeinterpret spatial relationshipsrun efficiently in real time

This book shows you how to build these capabilities from the ground up.


What you will learnfundamentals of computer vision and deep learningworking with tensors and image data in PyTorchbuilding object detection modelssemantic and instance segmentation techniquesconvolutional neural networks for vision taskstraining and optimizing modelsreal time inference pipelinesperformance tuning and GPU accelerationevaluating and improving model accuracydeploying vision systems in real applications
From images to intelligent systems

Throughout the book, you will learn how to:

process and prepare visual datasetstrain detection and segmentation modelsimplement real time vision systemsoptimize models for speed and accuracyintegrate vision into larger AI pipelinesdeploy models in production environments

Each chapter focuses on practical implementation.


Practical applicationsobject detection in video streamsautonomous vehicle perceptionmedical image analysissecurity and surveillance systemsindustrial inspectionaugmented reality systems

These examples reflect real world use cases.


Who this book is formachine learning engineersdata scientistsAI developerscomputer vision enthusiastsPython programmers entering AI

If you want to master computer vision and build systems that can truly understand visual data, this book provides the roadmap.

See with data.
Understand with models.
Build intelligent vision systems.

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