X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=src%2FMain.hs;h=1a716836c5db52096e7c15e6caaf45e307ba83cc;hb=b6ce041d136d56fb3d0638c4abadbae64b94b2e5;hp=bc63265195b474f1ca4da545ec67148709533c93;hpb=5a878334c2ca29fcaf7b5e5c8c9700d866134a22;p=spline3.git

diff --git a/src/Main.hs b/src/Main.hs
index bc63265..1a71683 100644
--- a/src/Main.hs
+++ b/src/Main.hs
@@ -1,24 +1,60 @@
 module Main
 where
 
-import Data.Array.Repa (
-  DIM3,
-  Z(..),
-  (:.)(..),
-  toList
+import qualified Data.Array.Repa as R
+import System.Environment (getArgs)
+
+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
   )
 
-import Values
---import Grid(make_grid, zoom)
+in_file :: FilePath
+in_file = "./data/mri.bin"
 
-mri_shape :: DIM3
-mri_shape = (Z :. 256 :. 256 :. 109)
 
 main :: IO ()
-main = do
-  mridata <- read_values_3d mri_shape "./data/mridata.txt"
-  let tmp = Data.Array.Repa.toList mridata
-  print tmp
---  let g = make_grid 1 (Data.Array.Repa.toList mridata2)
---  let output = zoom g 2
---  print "Hello, world."
+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
+  arrSlice <- R.computeUnboxedP $ z_slice 50 $ flip_x $ flip_y $ swap_bytes arr
+  let arrSlice' = R.reshape mri_slice3d arrSlice
+
+  -- 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