GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — BuildingMachineLearningSystemsWithPython/ch10 at master · luispedro/BuildingMachineLearningSystemsWithPython

Expand file tree

/

ch10

/
Copy path

Directory actions

More options

More options

Directory actions

More options

More options

Latest commit

 

History

History
History
/

ch10

/
Copy path

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
.gitignore
.gitignore
 
 
README.rst
README.rst
 
 
chapter.py
chapter.py
 
 
download.sh
download.sh
 
 
features.py
features.py
 
 
figure10.py
figure10.py
 
 
large_classification.py
large_classification.py
 
 
lena-ring.py
lena-ring.py
 
 
neighbors.py
neighbors.py
 
 
scene00.jpg
scene00.jpg
 
 
simple_classification.py
simple_classification.py
 
 
threshold.py
threshold.py
 
 
thresholded_figure.py
thresholded_figure.py
 
 

README.rst

Outline

Chapter 10

Support code for Chapter 10: Pattern Recognition & Computer Vision

Data

This chapter relies on a publicly available dataset (which can be downloaded using the download.sh script inside the data/ directory) as well the dataset that is packaged with the repository at ../SimpleImageDataset/.

Running download.sh will retrieve the other dataset into a directory AnimTransDistr/.

Scripts

chapter.py
Code as written in the book.
thresholded_figure.py
Computes the thresholded figures, including after Gaussian blurring
lena-ring.py
Lena image with center in focus and blurred edges
figure10.py
Just paste two images next to each others
features.py
Contains the color histogram function from the book as well as a simple wrapper around mahotas.texture.haralick
simple_classification.py
Classify SimpleImageDataset with texture features + color histogram features
large_classification.py
Classify AnimTransDistr with both texture and SURF features.
neighbors.py
Computes image neighbors as well as the neighbor figure from the book.
You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.