Description
Hands-On Computer Vision is designed as a practical guide to designing and implementing computer vision algorithms. It covers fundamental concepts such as image preprocessing, edge detection, and image segmentation from basic to advanced levels, without requiring extensive prior knowledge in the field.
In various sections, the reader will learn how to build vision systems for applications such as self-driving cars, facial recognition, and video processing. By combining mathematical foundations and software implementations, the author teaches the skills necessary to solve complex visual problems using convolutional neural networks (CNNs).
Book Features
- Learning to build object recognition and image segmentation systems from scratch.
- Using the TensorFlow 2 framework to implement deep models.
- Review of popular architectures such as Inception, ResNet, and YOLO.
- Learn how to implement visual models on mobile devices and the web.
- Coverage of biological and mathematical topics related to human and machine vision.
Book specifications
- Publisher: Springer
- Instructor/Author: Wei Shen
- Number of pages: 362
- Number of chapters: 19
- Format: PDF
Headings Hands-On Computer Vision
Pictures
User Guide
Extract the file and run it with the appropriate software.
Download link
File(s) password: www.downloadly.ir
File size
18.3 MB
