imagehaskellneural-networkresolutionjuicy-pixels

How to convert an image from DynamicImage type to Image arr cs e? Using JuicyPixels and HIP libraries


I am using the JuicyPixels image processing library to ingest an image and convert it into a Matrix type. I want to change the resolution of the image to a user specified dimension, so I can feed it into a neural network.

My program so far reads an image and converts the image to a Data.Matrix Matrix. The image type goes from DynamicImage -> Image Pixel8 ->[[Int]] -> Matrix Int

I have tried using the resize function from Haskell Image Processing (HIP) library but it takes and outputs a type Image arr cs e which I don't know how to process.

Here is my code so far:


import Codec.Picture         
import Codec.Picture.Types
import Control.Arrow
import Data.Ratio 
import Data.Monoid
import Graphics.Image.Processing
import qualified Graphics.Image as I
import qualified Data.Matrix as M
import System.FilePath.Posix (splitExtension)

-- take image input with the filepath given as a DynamicImage type
to2DMatrix :: FilePath -> String -> (Int, Int) -> IO ()
to2DMatrix fp = do
    image <- readImage fp
    case image of
      Left _ -> putStrLn $ "Sorry, not a supported codec for " ++ fp
      Right dynimg -> do
        -- convert dynamic image to greyscale and then to a 2d matrix
        let rle = twoDToMatrix $ pixelToInt $ greyscaleImage $ changeResolution dynimg 
        let (name, _) = splitExtension fp
        writeFile (name ++ ".txt") (show rle)
      Right _ -> putStrLn "Unhandled file type"

changeResolution :: DynamicImage -> String -> (Int, Int)  -> DynamicImage
changeResolution border (dim1, dim2) img = I.resize border (dim1, dim2) img

-- convert DynamicImage to a Pixel8 image
greyscaleImage :: DynamicImage -> Image Pixel8
greyscaleImage = convertRGB8 >>> pixelMap greyscalePixel

-- convert PixelsRGB8 image to Pixel8 image
greyscalePixel :: PixelRGB8 -> Pixel8
greyscalePixel (PixelRGB8 r g b) = round (wr + wg + wb)
  where wr = toRational r * (3 % 10)
        wg = toRational g * (59 % 100)
        wb = toRational b * (11 % 100)

-- convert Pixel8 image to a 2-d matrix of integers
pixelToInt :: Image Pixel8 -> [[Int]]
pixelToInt =
  map reverse . reverse .  snd . pixelFold -- because of the direction pixelFold works in, and the direction
    (\(lastY, ps:pss) x y p ->             -- you add things to lists, reverse and map reverse are necessary
      if y == lastY                        -- to make the output not mirrored horizontaly and vertically
        then (y, (fromIntegral p:ps):pss)
        else (y, [fromIntegral p]:ps:pss))
    (0,[[]])

-- converts list of lists to Data.Matrix type Matrix
twoDToMatrix :: [[Int]] -> M.Matrix Int
twoDToMatrix lists = M.fromLists lists

EDIT: Changed the program to remove changeResolution function since I realized I can just convert the image to grayscale using the convert function or by using readImageY. Here's the updated code:

to2DMatrix :: FilePath -> Border(Interface.Pixel I.Y Word8) -> (Int, Int) -> IO ()
to2DMatrix fp bor (dim1, dim2)= do
    eimg <- I.readImageExact VS fp
    case eimg of
      Left _ -> putStrLn $ "Sorry, not a supported codec for " ++ fp
      Right img -> do
        let imgGray :: Interface.Image VS I.Y Word8
            imgGray = convert (img)
        let new_res :: Interface.Image VS I.Y Word8
            new_res = I.resize imgGray bor (dim1, dim2) 
        let rle = twoDToMatrix $ pixelToInt $ toJPImageY8 new_res
        let (name, _) = splitExtension fp
        writeFile (name ++ ".txt") (show rle)

I get the following error. How do you convert from arr to VS?

Couldn't match expected type ‘Interface.Image VS I.Y Word8’
                  with actual type ‘Interface.Image arr0 I.Y Word8
                                    -> Interface.Image arr0 I.Y Word8’
    • In the expression: resize imgGray bor (dim1, dim2)
      In an equation for ‘new_res’:
          new_res = resize imgGray bor (dim1, dim2)
      In the expression:
        do let imgGray :: Interface.Image VS I.Y Word8
               imgGray = convert (img)
           let new_res :: Interface.Image VS I.Y Word8
               new_res = resize imgGray bor ...
           let rle = twoDToMatrix $ pixelToInt $ toJPImageY8 new_res
           let (name, _) = splitExtension fp
           ....
   |
34 |             new_res = I.resize imgGray bor (dim1, dim2)
   |                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Solution

  • The resize function in the Haskell Image Processing (HIP) library uses Image arr cs e type so I found it easier to read the image with the HIP library, instead of using JuicyPixels.

    The types go from Image VS Y Double -> Image VS Y Word8 -> Pixel8 -> [[Int]] -> Matrix Int.

    Another advantage of using HIP is that we can read the image in grayscale Pixel Y instead of doing the conversions later. Here is the code with the changes:

    import Codec.Picture         
    import Codec.Picture.Types
    import Graphics.Image.Processing
    import qualified Graphics.Image as I
    import qualified Graphics.Image.Interface as Interface
    import Graphics.Image.ColorSpace
    import Data.Word (Word8)
    import qualified Data.Matrix as M
    
    to2DMatrix :: FilePath  -> (Int, Int) -> IO (Maybe (M.Matrix Int)) 
    to2DMatrix fp (dim1, dim2)= do
        eimg <- I.readImageY VS fp 
        let new_res :: Interface.Image VS I.Y Word8
            new_res = I.resize Bilinear Edge  (dim1, dim2) $ Interface.map conv eimg
        let rle = twoDToMatrix $ pixelToInt $ toJPImageY8 new_res
        return $ Just (rle)
    
    conv :: Interface.Pixel I.Y Double -> Interface.Pixel I.Y Word8 
    conv d = fmap Interface.toWord8 d
    
    pixelToInt :: Image Pixel8 -> [[Int]]
    pixelToInt =
      map reverse . reverse .  snd . pixelFold
        (\(lastY, ps:pss) x y p ->
          if y == lastY 
            then (y, (fromIntegral p:ps):pss)
            else (y, [fromIntegral p]:ps:pss))
        (0,[[]])
    twoDToMatrix :: [[Int]] -> M.Matrix Int
    twoDToMatrix lists = M.fromLists lists
    

    conv converts the each pixel from Double to toWord8. The image needs to have Word8 precision for toJPImageY8 function.