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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Manipulating images in parallel using Repa

Repa is a powerful library for manipulating high-dimensional arrays in parallel. We will use it to read and edit the pixels of an image.

Getting ready

Install Developer's Image Library (DevIL), a cross-platform image manipulation toolkit. It can be downloaded from http://openil.sourceforge.net/download.php or through apt-get on Debian systems as follows:

$ sudo apt-get install libdevil-dev

Install the Repa package from cabal for the DevIL toolkit as follows:

$ cabal install repa-devil

Create two images named image1.png and image2.png that have the same dimensions, which are shown as follows:

Getting ready

Here comes the second image:

Getting ready

How to do it…

  1. Import the following libraries as follows:
    import System.Environment (getArgs)
    import Data.Word (Word8)
    import qualified Data.Array.Repa as R
    import Data.Array.Repa hiding ((++))
    import Data.Array.Repa.IO.DevIL (runIL, readImage, 
      writeImage, IL, Image(RGB))
    import Data.Array.Repa.Repr.ForeignPtr (F)
  2. Read the...
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