From: Tomas Musil <tomik.musil@gmail.com>
Date: Wed, 24 Oct 2012 13:01:00 +0000 (+0200)
Subject: better vector class
X-Git-Url: http://git.tomasm.cz/imago.git/commitdiff_plain/db4fb6da5dc88a3944352cff38cb92f68bead88c?ds=sidebyside;hp=04fed003945a46c6399db7eb94e81f2b215b87a8

better vector class
---

diff --git a/gridf.py b/gridf.py
index 50beb81..23e4d04 100644
--- a/gridf.py
+++ b/gridf.py
@@ -16,7 +16,7 @@ class MyGaussianBlur(ImageFilter.Filter):
     def filter(self, image):
         return image.gaussian_blur(self.radius)
 
-class V():
+class V(object):
     def __init__(self, x, y):
         self.x = x
         self.y = y
@@ -30,16 +30,29 @@ class V():
     def __rmul__(self, other):
         return V(other * self.x, other * self.y)
 
-    def t(self):
-        return (self.x, self.y)
+    def __len__(self):
+        return 2;
 
+    def __getitem__(self, key):
+        if key == 0:
+            return self.x
+        elif key == 1:
+            return self.y
+        elif type(key) != int:
+            raise TypeError("V indices must be integers") 
+        else:
+            raise KeyError("V index ({}) out of range".format(key))
+
+    def __iter__(self):
+        yield self.x
+        yield self.y
+
+    @property
     def normal(self):
         return V(-self.y, self.x)
 
 def projection(point, line, vector):
-    n = vector.normal()
-    l2 = g_line(point.t(), (point + n).t())
-    return V(*intersection(l2, g_line(*line)))
+    return V(*intersection(g_line(point, point + vector.normal), g_line(*line)))
     
 def error_surface(lines, a, b, c, d, hough, size, v1):
     import matplotlib.pyplot as plt
@@ -132,8 +145,8 @@ def find(lines, size, l1, l2, bounds, hough, do_something):
     return grid, grid_lines
 
 def get_grid(a, b, c, d, hough, size):
-    l1 = hough.lines_from_list([a.t(), b.t()])
-    l2 = hough.lines_from_list([c.t(), d.t()])
+    l1 = hough.lines_from_list([a, b])
+    l2 = hough.lines_from_list([c, d])
     c = intersections_from_angl_dist([l1, l2], size, get_all=True)
     #TODO do something when a corner is outside the image
     corners = (c[0] + c[1])