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Python Image Processing Cookbook
book

Python Image Processing Cookbook

by Sandipan Dey
April 2020
Intermediate to advanced
438 pages
12h 2m
English
Packt Publishing
Content preview from Python Image Processing Cookbook

Getting ready

First, download the compressed pickled dataset from https://s3-us-west-1.amazonaws.com/udacity-selfdrivingcar/traffic-signs-data.zip. Extract it to the traffic_signs folder inside the images folder (it contains three pickled files, with the images for training, validation, and testing, respectively). Here is the summary of the pickled dataset:

  • 34,799 training images
  • 4,410 validation images
  • 12,630 testing images
  • Image size = (32, 32)
  • 43 unique classes

Import the following packages to start with:

import pickleimport numpy as npimport pandas as pdimport matplotlib.pylab as pltimport seaborn as snsimport cv2 import torchfrom torch.utils.data.dataset import Datasetfrom torch.utils.data import DataLoaderimport torchvision.transforms ...
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Publisher Resources

ISBN: 9781789537147