From 064b1b66a5371eecf907f94f672ba995e1de4451 Mon Sep 17 00:00:00 2001 From: Philipp Schrader Date: Sun, 19 May 2013 10:54:54 -0700 Subject: [PATCH] Broke the scantron module into several pieces. --- scantron/__init__.py | 4 ++ scantron/data.py | 8 ++++ scantron.py => scantron/generator.py | 68 +--------------------------- scantron/parser.py | 60 ++++++++++++++++++++++++ 4 files changed, 73 insertions(+), 67 deletions(-) create mode 100644 scantron/__init__.py create mode 100755 scantron/data.py rename scantron.py => scantron/generator.py (69%) create mode 100755 scantron/parser.py diff --git a/scantron/__init__.py b/scantron/__init__.py new file mode 100644 index 0000000..dce0486 --- /dev/null +++ b/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 diff --git a/scantron/data.py b/scantron/data.py new file mode 100755 index 0000000..2b30f89 --- /dev/null +++ b/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 diff --git a/scantron.py b/scantron/generator.py similarity index 69% rename from scantron.py rename to scantron/generator.py index b8ebb5a..df3be18 100755 --- a/scantron.py +++ b/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 diff --git a/scantron/parser.py b/scantron/parser.py new file mode 100755 index 0000000..f120092 --- /dev/null +++ b/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))