Broke the scantron module into several pieces.

scantron/__init__.py

@@ -0,0 +1,4 @@
+from generator import ScantronGenerator
+from parser import ScantronParser
+from data import ScantronField
+from reportlab.lib.units import inch

scantron/data.py

@@ -0,0 +1,8 @@
+#!/usr/bin/env python2
+
+
+class ScantronField:
+    def __init__(self, name, label, fieldType):
+        self.name = name
+        self.label = label
+        self.fieldType = fieldType

scantron.py → scantron/generator.py

@@ -5,67 +5,8 @@
 from reportlab.pdfgen import canvas
 from qrcode import *
 
-import numpy as np
-import scipy as sp
-from scipy import ndimage
-from PIL import Image, ImageDraw
-import math
 
-
-class ScantronParser:
-    def __init__(self):
-        pass
-
-
-    def scan(self, data, path):
-        img = Image.open(path).convert('RGB')
-        im = sp.misc.fromimage(img, flatten=True)
-        im = np.where(im > 128, 0, 1)
-        label_im, num = ndimage.label(im, structure=np.ones((3, 3)).tolist())
-        centroids = ndimage.measurements.center_of_mass(im, label_im, xrange(1, 
-                num+1))
-        slices = ndimage.find_objects(label_im)
-
-        squares = []
-
-        for i in range(len(slices)):
-            sub_img = np.where(label_im[slices[i]] == i + 1, 1, 0)
-            num_ones = np.sum(sub_img)
-            num_all = sub_img.size
-            shape = sub_img.shape
-
-            ratio = float(shape[0]) / float(shape[1])
-            darkness = float(num_ones)/float(num_all)
-
-            if darkness > 0.95 and abs(ratio - 1.0) < 0.1 and shape[0] > 14:
-                x1, x2 = slices[i][1].start, slices[i][1].stop
-                y1, y2 = slices[i][0].start, slices[i][0].stop
-
-                draw = ImageDraw.Draw(img)
-                draw.rectangle([x1, y1, x2, y2], outline='blue')
-                del draw
-
-                squares.append(i)
-
-        if len(squares) != 3:
-            print('Could not uniquely identify the three page markers.')
-            raise Exception
-
-        squares = zip(squares, map(lambda s: sum(centroids[s]), squares))
-        squares = sorted(squares, key=lambda x: x[1])
-
-        for s in squares:
-            print('square ' + str(s))
-
-        tl = centroids[squares[0][0]]
-        bl = centroids[squares[1][0]]
-        br = centroids[squares[2][0]]
-
-        rotation = math.atan2(bl[1] - tl[1], bl[0] - tl[0])
-        print('rotation: ' + str(rotation))
-
-
-class Scantron:
+class ScantronGenerator:
     def __init__(self, filename, spacing=0.3*inch):
         self._fontSize = 0.15*inch
 
@@ -217,10 +158,3 @@ def populate(self, data, matches=1, collate='on'):
 
     def save(self):
         self._canvas.save()
-
-
-class Field:
-    def __init__(self, name, label, fieldType):
-        self.name = name
-        self.label = label
-        self.fieldType = fieldType

scantron/parser.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python2
+
+import numpy as np
+import scipy as sp
+from scipy import ndimage
+from PIL import Image, ImageDraw
+import math
+
+
+class ScantronParser:
+    def __init__(self):
+        pass
+
+
+    def scan(self, data, path):
+        img = Image.open(path).convert('RGB')
+        im = sp.misc.fromimage(img, flatten=True)
+        im = np.where(im > 128, 0, 1)
+        label_im, num = ndimage.label(im, structure=np.ones((3, 3)).tolist())
+        centroids = ndimage.measurements.center_of_mass(im, label_im, xrange(1, 
+                num+1))
+        slices = ndimage.find_objects(label_im)
+
+        squares = []
+
+        for i in range(len(slices)):
+            sub_img = np.where(label_im[slices[i]] == i + 1, 1, 0)
+            num_ones = np.sum(sub_img)
+            num_all = sub_img.size
+            shape = sub_img.shape
+
+            ratio = float(shape[0]) / float(shape[1])
+            darkness = float(num_ones)/float(num_all)
+
+            if darkness > 0.95 and abs(ratio - 1.0) < 0.1 and shape[0] > 14:
+                x1, x2 = slices[i][1].start, slices[i][1].stop
+                y1, y2 = slices[i][0].start, slices[i][0].stop
+
+                draw = ImageDraw.Draw(img)
+                draw.rectangle([x1, y1, x2, y2], outline='blue')
+                del draw
+
+                squares.append(i)
+
+        if len(squares) != 3:
+            print('Could not uniquely identify the three page markers.')
+            raise Exception
+
+        squares = zip(squares, map(lambda s: sum(centroids[s]), squares))
+        squares = sorted(squares, key=lambda x: x[1])
+
+        for s in squares:
+            print('square ' + str(s))
+
+        tl = centroids[squares[0][0]]
+        bl = centroids[squares[1][0]]
+        br = centroids[squares[2][0]]
+
+        rotation = math.atan2(bl[1] - tl[1], bl[0] - tl[0])
+        print('rotation: ' + str(rotation))