-
Notifications
You must be signed in to change notification settings - Fork 0
/
numberToImage.py
204 lines (150 loc) · 5.9 KB
/
numberToImage.py
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
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
from PIL import Image
from PIL import ImageFont
from PIL import ImageDraw
from PIL import ImageFilter
from imutils import contours, object_detection
import matplotlib.pyplot as plt
import numpy as np
import random as r
import cv2
import os
import copy
import sys
seed = 4338834047466071313
r.seed(seed)
def numberToImage(lp, style='current'):
text = ''
# Standard size for Chilean LPs is 360x130
canvas = Image.new('RGB', (1080, 390), 'white')
# Mosaic canvas
mosaic = Image.new(
'RGB',
(600, 600),
(r.randint(0, 256), r.randint(0, 256), r.randint(0, 256))
)
# mosaic.show()
if(style == 'current'):
font = ImageFont.truetype('./fonts/cargo2.ttf', 200, encoding='unic')
elif(style == 'old'):
font = ImageFont.truetype('./fonts/helveticacond.otf',
250, encoding='unic')
draw = ImageDraw.Draw(canvas, 'RGBA')
draw.text((100, 50), lp, 'black', font)
canvas_cp = copy.deepcopy(canvas)
canvas_cp.thumbnail((180, 65))
mosaic.paste(canvas_cp, (20, 20))
text += getBoundingBoxes(canvas_cp, lp, xoffset=20, yoffset=20)
# mosaic.show()
# canvas = canvas.transform((1080, 390), Image.EXTENT,
# (200, 50, 700, 100))
canvas_blur, mosaic = blurImage(canvas, mosaic, coords=(300, 20))
text += getBoundingBoxes(canvas_cp, lp, xoffset=300, yoffset=20)
# Repeat four times for different transformations
for i in range(4):
canvas_dist = randomlyDistortImage(canvas)
canvas_dist_cp = copy.deepcopy(canvas_dist)
canvas_dist_cp.thumbnail((180, 65))
mosaic.paste(canvas_dist_cp, (20, 20 + (1+i)*120))
text += getBoundingBoxes(canvas_dist_cp, lp, xoffset=20, yoffset=20 + (1+i)*120)
canvas_dist_blur, mosaic = blurImage(canvas_dist, mosaic, coords=(300, 20 + (1+i)*120))
text += getBoundingBoxes(canvas_dist_cp, lp, xoffset=300, yoffset=20 + (1+i)*120)
text = "".join([s for s in text.strip().splitlines(True) if s.strip()])
text = str(len(text.split('\n'))) + '\n' + text
# canvas = randomlyDistortImage(canvas)
mosaic.show()
# canvas.show()
# getBoundingBoxes(mosaic, lp)
writeTextToFile(text, mosaic)
# canvas.show()
def getBoundingBoxes(img, lp, xoffset=0, yoffset=0):
cv2_img = np.array(img)
cv2_original_image = copy.deepcopy(cv2_img)
cv2_img_grey = cv2.cvtColor(cv2_img, cv2.COLOR_RGB2GRAY)
ret, thresh = cv2.threshold(cv2_img_grey, 127, 255, 0)
im2, cnts, h = cv2.findContours(thresh, 1, 2)
cnts, boundingBoxes = contours.sort_contours(cnts, method='left-to-right')
bb = np.asarray(boundingBoxes)
# Eliminate greater (first) bounding box
bb = bb[1:]
# Convert to TL, TR, BR, BL style and back, and eliminate
# smaller boxes for letters that contain more than one
bb[:, 2:] = bb[:, 2:] + bb[:, :2]
bb = object_detection.non_max_suppression(bb, overlapThresh=0.8)
bb[:, 2:] = bb[:, 2:] - bb[:, :2]
# Sort bounding boxes by X position (left-to-right)
bb = bb[np.argsort(bb[:, 0])]
bb[:, 0] = bb[:, 0] + xoffset
bb[:, 1] = bb[:, 1] + yoffset
# bb_text = str(len(bb)) + '\n'
bb_text = ''
lp = ''.join(lp.split())
for i, box in enumerate(bb):
rectangle(cv2_img, (255, 0, 0), 3, *box)
bb_text += str(box[0]) + ' ' + str(box[1]) + ' ' + str(box[2]) + ' ' \
+ str(box[3]) + ' ' + lp[i] + '\n'
return bb_text
def writeTextToFile(text, img):
# Save label files
i = 0
while os.path.exists('data/labels/license_plate_img_%s.txt' % i):
i += 1
file = open('data/labels/license_plate_img_%s.txt' % i, 'w+')
file.write(text)
file.close()
img.save('data/images/license_plate_img_%s.jpg' % i)
def blurImage(img, mosaic, coords):
img = img.filter(ImageFilter.GaussianBlur(r.randint(0, 4)))
blur_cp = copy.deepcopy(img)
blur_cp.thumbnail((180, 65))
mosaic.paste(blur_cp, coords)
return img, mosaic
def randomlyDistortImage(img):
width, height = img.size
# Plane A to plane B (topL, topR, bottomR, bottomL)
coeffs = find_coeffs(
[(0, 0), (1080, 0), (1080, 390), (0, 390)],
[(r.randint(0, 80), r.randint(0, 45)),
(r.randint(1000, 1070), r.randint(0, 45)),
(r.randint(900, 1070), r.randint(280, 390)),
(r.randint(0, 80), r.randint(250, 390))])
# Perspective transform
img = img.transform((width + 180, height + 65),
Image.PERSPECTIVE, coeffs, Image.BICUBIC)
return img
def find_coeffs(pa, pb):
matrix = []
for p1, p2 in zip(pa, pb):
matrix.append([p1[0], p1[1], 1, 0, 0, 0, -p2[0]*p1[0], -p2[0]*p1[1]])
matrix.append([0, 0, 0, p1[0], p1[1], 1, -p2[1]*p1[0], -p2[1]*p1[1]])
A = np.matrix(matrix, dtype=np.float)
B = np.array(pb).reshape(8)
res = np.dot(np.linalg.inv(A.T * A) * A.T, B)
return np.array(res).reshape(8)
def rectangle(image, color, thickness, x, y, w, h, label=None):
"""Draw a rectangle.
Parameters
----------
x : float | int
Top left corner of the rectangle (x-axis).
y : float | int
Top let corner of the rectangle (y-axis).
w : float | int
Width of the rectangle.
h : float | int
Height of the rectangle.
label : Optional[str]
A text label that is placed at the top left corner of the
rectangle.
"""
pt1 = int(x), int(y)
pt2 = int(x + w), int(y + h)
cv2.rectangle(image, pt1, pt2, color, thickness)
if label is not None:
text_size = cv2.getTextSize(
label, cv2.FONT_HERSHEY_PLAIN, 1, thickness)
center = pt1[0] + 5, pt1[1] + 5 + text_size[0][1]
pt2 = pt1[0] + 10 + text_size[0][0], pt1[1] + 10 + \
text_size[0][1]
cv2.rectangle(image, pt1, pt2, color, -1)
cv2.putText(image, label, center, cv2.FONT_HERSHEY_PLAIN,
1, (255, 255, 255), thickness)