module Main
where
-import qualified Data.Array.Repa as R (map, reshape)
-import qualified Data.Array.Repa.IO.BMP as R (writeComponentsToBMP)
+import qualified Data.Array.Repa as R
import System.Environment (getArgs)
-import Grid (make_grid, zoom)
-import MRI
-import Values (drop_z, zoom_shape)
+import Grid (zoom)
+import MRI (
+ flip_x,
+ flip_y,
+ mri_shape,
+ mri_slice3d,
+ read_word16s,
+ round_array,
+ swap_bytes,
+ write_values_slice_to_bitmap,
+ write_word16s,
+ z_slice
+ )
-zoom_factor :: (Int, Int, Int)
-zoom_factor = (1,2,2)
+in_file :: FilePath
+in_file = "./data/mri.bin"
main :: IO ()
-main = do
--- args <- getArgs
--- let color = head args
- let in_file = "./data/mri.bin"
+main = main3d
+
+main3d :: IO ()
+main3d = do
+ (s:_) <- getArgs
+ let scale = read s :: Int
+ let zoom_factor = (scale, scale, scale)
+ let out_file = "output.bin"
+ arr <- read_word16s in_file
+ let arr' = swap_bytes arr
+ let arrMRI = R.reshape mri_shape arr'
+ dbl_data <- R.computeUnboxedP $ R.map fromIntegral arrMRI
+ output <- zoom dbl_data zoom_factor
+ word16_output <- R.computeUnboxedP $ round_array output
+ write_word16s out_file word16_output
+ return ()
+
+
+main2d :: IO ()
+main2d = do
+ (s:_) <- getArgs
+ let scale = read s :: Int
+ let zoom_factor = (1, scale, scale)
let out_file = "output.bmp"
arr <- read_word16s in_file
- let arrBrack = bracket_array arr
- let arrInv = flip_x $ flip_y arrBrack
- let arrSlice = z_slice 50 arrInv
+ arrSlice <- R.computeUnboxedP $ z_slice 50 $ flip_x $ flip_y $ swap_bytes arr
let arrSlice' = R.reshape mri_slice3d arrSlice
- let dbl_data = R.map fromIntegral arrSlice'
- let g = make_grid 1 dbl_data
- let output = zoom g zoom_factor
- let mri_slice2d = drop_z $ zoom_shape zoom_factor mri_slice3d
- let colors = values_to_colors $ R.reshape mri_slice2d output
- let routput = R.map (\(red, _, _) -> red) colors
- let goutput = R.map (\(_, green, _) -> green) colors
- let boutput = R.map (\(_, _, blue) -> blue) colors
- R.writeComponentsToBMP out_file routput goutput boutput
+
+ -- If zoom isn't being inlined we need to extract the slice before hand,
+ -- and convert it to the require formed.
+ dbl_data <- R.computeUnboxedP $ R.map fromIntegral arrSlice'
+ output <- zoom dbl_data zoom_factor
+ arrSlice0 <- R.computeUnboxedP $ z_slice 0 output
+
+ write_values_slice_to_bitmap arrSlice0 out_file