57 lines
2.2 KiB
Haskell
57 lines
2.2 KiB
Haskell
{-# LANGUAGE DeriveAnyClass #-}
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{-# LANGUAGE DeriveGeneric #-}
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{-# LANGUAGE OverloadedStrings #-}
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{-# LANGUAGE RecordWildCards #-}
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{-# LANGUAGE ScopedTypeVariables #-}
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{-# LANGUAGE TupleSections #-}
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module Main where
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import Codec.Picture
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import Codec.Picture.Extra (scaleBilinear)
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import Data.Bits
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import qualified Data.BKTree as BK
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import Data.List (foldl')
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import Data.Word (Word64)
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import Options.Generic
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import Pipes
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import Pipes.Files
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import qualified Pipes.Prelude as P
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import Pipes.Safe (runSafeT)
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data Cmd = Cmd { source :: FilePath
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, target :: FilePath
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, recursive :: Bool
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} deriving (Show, Generic, ParseRecord)
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data Fingerprint =
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Fingerprint { imagePath :: FilePath
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, hash :: !Word64
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} deriving Show
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instance BK.Metric Fingerprint where
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-- hamming distance
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distance (Fingerprint _ a) (Fingerprint _ b) =
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let xored = a `xor` b
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in foldr (\shiftA acc -> acc + if 1 `shift` shiftA .&. xored > 0 then 1 else 0) 0 [0..63]
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fingerprint :: DynamicImage -> Word64
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fingerprint = hash . grey . scale . convertRGB8
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where
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scale :: Image PixelRGB8 -> Image PixelRGB8
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scale = scaleBilinear 8 8
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grey :: Image PixelRGB8 -> Image Pixel8
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grey = pixelMap (\(PixelRGB8 r g b) -> ceiling ((fromIntegral r * (0.3 :: Double)) + (fromIntegral g * 0.59) + (fromIntegral b * 0.11)))
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hash :: Image Pixel8 -> Word64
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hash img = -- the average fingerprint method
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let avg = fromIntegral (foldl' (\acc (x,y) -> acc + fromIntegral (pixelAt img x y)) (0 :: Int) [(x,y) | x <- [0..7], y <- [0..7]] `div` 64)
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in foldr (\(shiftA, b) acc -> if b then 1 `shift` shiftA .|. acc else acc) 0 $ zip [0..] [pixelAt img x y > avg | x <- [0..7], y <- [0..7]]
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main :: IO ()
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main = do
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Cmd{..} <- getRecord "Image duplicate finder"
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runSafeT $
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runEffect $
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for (find source (glob "*.jpg" <> regular) >-> P.mapM (\path -> fmap (path,) <$> liftIO (readImage path)) >-> P.map (fmap (\(path, img) -> Fingerprint path (fingerprint img)))) (liftIO . print)
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