Merge branch 'uncached_vector'

[spline3.git] / src / Main.hs

diff --git a/src/Main.hs b/src/Main.hs
index 8376ce954ff9f840d2b88f11b65a2393a283cd5f..8a1efdb76de21e6b94421e63e6ebd07630ff5990 100644 (file)
--- a/src/Main.hs
+++ b/src/Main.hs
@@ -1,104 +1,31 @@
 module Main
 where
 
-import Cube
-import Face
-import Grid
-import Misc (flatten)
-import Point
-import RealFunction
-import Tetrahedron
-import ThreeDimensional
+import Data.Array.Repa (
+  DIM3,
+  Z(..),
+  (:.)(..),
+  )
 
-trilinear :: [[[Double]]]
-trilinear = [ [ [ 1, 2, 3 ],
-                [ 1, 3, 5 ],
-                [ 1, 4, 7 ] ],
-              [ [ 1, 2, 3 ],
-                [ 1, 4, 7 ],
-                [ 1, 6, 11 ] ],
-              [ [ 1, 2, 3 ],
-                [ 1, 5, 9 ],
-                [ 1, 8, 15 ]]]
+import System.Environment (getArgs)
 
-zeros :: [[[Double]]]
-zeros = [ [ [ 0, 0, 0 ],
-            [ 0, 0, 0 ],
-            [ 0, 0, 0 ] ],
-          --
-          [ [ 0, 0, 0 ],
-            [ 0, 0, 0 ],
-            [ 0, 0, 0 ] ],
-          --
-          [ [ 0, 0, 0 ],
-            [ 0, 0, 0 ],
-            [ 0, 0, 0 ]]]
+import Grid (make_grid, zoom)
+import Values (read_values_3d, write_values_1d)
+
+mri_shape :: DIM3
+mri_shape = (Z :. 256 :. 256 :. 1)
 
-dummy :: [[[Double]]]
-dummy = [ [ [ 0, 1, 2 ],
-            [ 3, 4, 5 ],
-            [ 6, 7, 8 ] ],
-          --
-          [ [ 9, 10, 11 ],
-            [ 12, 13, 14 ],
-            [ 15, 16, 17 ] ],
-          --
-          [ [ 18, 19, 20 ],
-            [ 21, 22, 23 ],
-            [ 24, 25, 26 ]]]
 
 
-find_point_value :: RealFunction Point
-find_point_value p = poly p
-    where
-      g0 = make_grid 1 trilinear
-      the_cubes = flatten (cubes g0)
-      good_cubes = filter ((flip contains_point) p) the_cubes
-      target_cube = good_cubes !! 0
-      good_tets = filter ((flip contains_point) p) (tetrahedrons target_cube)
-      target_tetrahedron = good_tets !! 0
-      poly = polynomial target_tetrahedron
 
 main :: IO ()
 main = do
-  putStrLn $ show $ find_point_value (0,0,0)
-  putStrLn $ show $ find_point_value (1,0,0)
-  putStrLn $ show $ find_point_value (2,0,0)
-  putStrLn $ show $ find_point_value (0,1,0)
-  putStrLn $ show $ find_point_value (1,1,0)
-  putStrLn $ show $ find_point_value (2,1,0)
-  putStrLn $ show $ find_point_value (0,2,0)
-  putStrLn $ show $ find_point_value (1,2,0)
-  putStrLn $ show $ find_point_value (2,2,0)
-  putStrLn $ show $ find_point_value (0,0,1)
-  putStrLn $ show $ find_point_value (1,0,1)
-  putStrLn $ show $ find_point_value (2,0,1)
-  putStrLn $ show $ find_point_value (0,1,1)
-  putStrLn $ show $ find_point_value (1,1,1)
-  putStrLn $ show $ find_point_value (2,1,1)
-  putStrLn $ show $ find_point_value (0,2,1)
-  putStrLn $ show $ find_point_value (1,2,1)
-  putStrLn $ show $ find_point_value (2,2,1)
-  putStrLn $ show $ find_point_value (0,0,2)
-  putStrLn $ show $ find_point_value (1,0,2)
-  putStrLn $ show $ find_point_value (2,0,2)
-  putStrLn $ show $ find_point_value (0,1,2)
-  putStrLn $ show $ find_point_value (1,1,2)
-  putStrLn $ show $ find_point_value (2,1,2)
-  putStrLn $ show $ find_point_value (0,2,2)
-  putStrLn $ show $ find_point_value (1,2,2)
-  putStrLn $ show $ find_point_value (2,2,2)
-  -- let g0 = make_grid 1 trilinear
-  -- let the_cubes = flatten (cubes g0)
-  -- putStrLn $ show $ the_cubes
-  -- let p = (2, 0, 0)
-  -- let target_cubes = filter ((flip contains_point) p) the_cubes
-  -- putStrLn $ show $ target_cubes
-  -- let target_cube = (take 1 target_cubes) !! 0
-  -- putStrLn $ show $ target_cube
-  -- let target_tetrahedra = filter ((flip contains_point) p) (tetrahedrons target_cube)
-  -- let target_tetrahedron = (take 1 target_tetrahedra) !! 0
-  -- putStrLn $ show $ target_tetrahedron
-  -- let poly = polynomial target_tetrahedron
-  -- putStrLn $ show $ poly
-  -- putStrLn $ show $ poly p
+  args <- getArgs
+  let color = head args
+  let in_file  = "./data/MRbrain.40." ++ color
+  let out_file = "MRbrain.40." ++ color ++ ".out"
+  mridata <- read_values_3d mri_shape in_file
+
+  let g = make_grid 1 mridata
+  let output = zoom g (4,4,1)
+  write_values_1d output out_file