如何将图像从DynamicImage类型转换为Image arr cs e？使用JuicyPixels和HIP库。

Question

我正在使用JuicyPixels图像处理库来摄取图像并将其转换为矩阵类型。我想把图像的分辨率改为用户指定的维度，这样我就可以把它输入神经网络。

到目前为止，我的程序读取一张图像，并将图像转换为Data.Matrix矩阵。图像类型从 DynamicImage -> Image Pixel8 ->[[Int]] -> Matrix Int

我试着使用Haskell图像处理(HIP)库中的resize函数，但它需要并输出的类型是 Image arr cs e 我不知道如何处理。

这是我目前的代码。

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: 修改了程序，删除了 changeResolution 函数，因为我意识到，我可以直接使用 convert 函数或通过使用 readImageY. 这是更新后的代码。

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)

我得到以下错误信息 你如何从 arr 到 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)
   |                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Answer 1

该 resize 功能 Haskell图像处理（HIP）中的 图书馆 用途 Image arr cs e 类型，所以我发现用HIP库读取图像比用JuicyPixels更容易。

类型从 Image VS Y Double -> Image VS Y Word8 -> -> -> -&gt Pixel8 -> -> -> -> [[Int]] -&gt；-&gt；-&gt；-&gt。Matrix Int.

使用HIP的另一个好处是，我们可以读取灰度图像。Pixel Y 而不是以后再做转换。下面是修改后的代码。

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 将每个像素从 Double 到 toWord8. 图像需要有 Word8 精度 toJPImageY8 职能。