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Python Image Processing Cookbook

You're reading from Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

Product type Paperback

Published in Apr 2020

Publisher Packt

ISBN-13 9781789537147

Length 438 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Computer Vision

Author (1):

Sandipan Dey

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Table of Contents (11) Chapters

Preface

1. Image Manipulation and Transformation

2. Image Enhancement FREE CHAPTER

3. Image Restoration

4. Binary Image Processing

5. Image Registration

6. Image Segmentation

7. Image Classification

8. Object Detection in Images

9. Face Recognition, Image Captioning, and More

10. Other Books You May Enjoy

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Classifying traffic signs using a deep learning model (with PyTorch)

In this recipe, you will learn how to train a custom neural network from scratch using PyTorch and use the model's predictions to classify traffic signs. We shall use the German Traffic Sign Recognition Benchmark (GTSRB) dataset (https://sid.erda.dk/public/archives/daaeac0d7ce1152aea9b61d9f1e19370/published-archive.html) as the input images for training/testing. The images are labeled with 43 different traffic signs. The dataset contains 39,209 training and 12,630 test images. For this recipe, it is also recommended that you use a computer with GPU(s) in it to make the training process faster.

Getting ready

First, download the compressed pickled dataset...

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Authors (1)

Sandipan Dey

Sandipan Dey

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses. He is a regular blogger (sandipanweb) and is a machine learning education enthusiast.

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