forked from lozuwa/impy
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathColorAugmenters_test.py
executable file
·188 lines (173 loc) · 6.53 KB
/
ColorAugmenters_test.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
"""
package: Images2Dataset
class: DataAugmentation
Author: Rodrigo Loza
Description: Test class for data augmentation.
"""
# Libraries
import unittest
import math
import numpy as np
import cv2
from ColorAugmenters import *
class ColorAugmenters_test(unittest.TestCase):
def setUp(self):
img_path = os.path.join(os.getcwd(), "tests/cars_dataset/images/cars0.png")
assert os.path.isfile(img_path)
# Image
self.frame = cv2.imread(img_path)
# Augmenters
self.augmenter = ColorAugmenters()
# Testing options
self.visualize = True
self.waitTime = 500
self.windowSize = (800, 800)
def tearDown(self):
pass
# def test_invert_color(self):
# if (self.visualize):
# frame = self.augmenter.invertColor(frame = self.frame,
# CSpace = [True, True, True])
# cv2.namedWindow("__invertColor__", 0)
# # cv2.resizeWindow("__invertColor__", self.windowSize)
# cv2.imshow("__invertColor__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# def test_histogram_equalization(self):
# if (self.visualize):
# # Type 0
# frame = self.augmenter.histogramEqualization(frame = self.frame,
# equalizationType = 0)
# cv2.namedWindow("__equalizationType__", 0)
# # cv2.resizeWindow("__equalizationType__", self.windowSize);
# cv2.imshow("__equalizationType__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# self.assertEqual(self.frame.shape[0], frame.shape[0])
# self.assertEqual(self.frame.shape[1], frame.shape[1])
# self.assertEqual(self.frame.dtype, frame.dtype)
# # Type 1
# frame = self.augmenter.histogramEqualization(frame = self.frame,
# equalizationType = 1)
# cv2.namedWindow("__equalizationType__", 1)
# # cv2.resizeWindow("__equalizationType__", self.windowSize);
# cv2.imshow("__equalizationType__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# self.assertEqual(self.frame.shape[0], frame.shape[0])
# self.assertEqual(self.frame.shape[1], frame.shape[1])
# self.assertEqual(self.frame.dtype, frame.dtype)
# def test_change_brightness(self):
# if (self.visualize):
# c = 0.4
# for i in range(10):
# frame = self.augmenter.changeBrightness(frame = self.frame,
# coefficient = c)
# cv2.namedWindow("__changeBrightness__", 0)
# # cv2.resizeWindow("__changeBrightness__", self.windowSize);
# cv2.imshow("__changeBrightness__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# self.assertEqual(self.frame.shape[0], frame.shape[0])
# self.assertEqual(self.frame.shape[1], frame.shape[1])
# self.assertEqual(self.frame.dtype, frame.dtype)
# c += 0.2
# def test_sharpening(self):
# if (self.visualize):
# w = 0.2
# for i in range(10):
# frame = self.augmenter.sharpening(frame = self.frame,
# weight = w)
# cv2.namedWindow("__sharpening__", 0)
# # cv2.resizeWindow("__sharpening__", self.windowSize);
# cv2.imshow("__sharpening__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# self.assertEqual(self.frame.shape[0], frame.shape[0])
# self.assertEqual(self.frame.shape[1], frame.shape[1])
# self.assertEqual(self.frame.dtype, frame.dtype)
# w += 0.2
# def test_add_gaussian_noise(self):
# if (self.visualize):
# frame = self.augmenter.addGaussianNoise(frame = self.frame,
# coefficient = 0.5)
# cv2.namedWindow("__addGaussianNoise__", 0)
# # cv2.resizeWindow("__addGaussianNoise__", self.windowSize);
# cv2.imshow("__addGaussianNoise__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# def test_gaussian_blur(self):
# if (self.visualize):
# vals = [5,7,9,10,15]
# for each in vals:
# print(each)
# frame = self.augmenter.gaussianBlur(frame = self.frame,
# sigma = each)
# cv2.namedWindow("__gaussianBlur__", 0)
# cv2.imshow("__gaussianBlur__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
def test_average_blur(self):
if (self.visualize):
for i in range(5):
frame = self.augmenter.averageBlur(frame = self.frame,
kernelSize = [i+2, i+2])
cv2.namedWindow("__averageBlur__", 0)
cv2.imshow("__averageBlur__", frame)
cv2.waitKey(self.waitTime)
cv2.destroyAllWindows()
self.assertEqual(self.frame.shape[0], frame.shape[0])
self.assertEqual(self.frame.shape[1], frame.shape[1])
self.assertEqual(self.frame.dtype, frame.dtype)
# def test_median_blur(self):
# if (self.visualize):
# vals = [1,3,5,7,9]
# for each in vals:
# frame = self.augmenter.medianBlur(frame = self.frame,
# coefficient = each)
# cv2.namedWindow("__medianBlur__", 0)
# cv2.imshow("__medianBlur__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# self.assertEqual(self.frame.shape[0], frame.shape[0])
# self.assertEqual(self.frame.shape[1], frame.shape[1])
# self.assertEqual(self.frame.dtype, frame.dtype)
# def test_bilateral_blur(self):
# if (self.visualize):
# ds = [1,3,5,7,9]
# scs = []
# sss = []
# for d, sc, ss in zip(ds, scs, sss):
# frame = self.augmenter.bilateralBlur(frame = self.frame,
# d = d,
# sigmaColor = sc,
# sigmaSpace = ss)
# cv2.namedWindow("__bilateralBlur__", 0)
# cv2.imshow("__bilateralBlur__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# self.assertEqual(self.frame.shape[0], frame.shape[0])
# self.assertEqual(self.frame.shape[1], frame.shape[1])
# self.assertEqual(self.frame.dtype, frame.dtype)
# def test_shift_colors(self):
# if (self.visualize):
# frame = self.augmenter.shiftColors(frame = self.frame)
# cv2.namedWindow("__shiftColors__", 0)
# # cv2.resizeWindow("__shiftColors__", self.windowSize);
# cv2.imshow("__shiftColors__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
# self.assertEqual(self.frame.shape[0], frame.shape[0])
# self.assertEqual(self.frame.shape[1], frame.shape[1])
# self.assertEqual(self.frame.dtype, frame.dtype)
# def test_fancyPCA(self):
# if (self.visualize):
# frame = self.augmenter.fancyPCA(frame = self.frame)
# # cv2.imwrite("/home/pfm/Downloads/fff.jpg", frame)
# cv2.namedWindow("__fancyPCA__", 0)
# # cv2.resizeWindow("__fancyPCA__", self.windowSize);
# cv2.imshow("__fancyPCA__", frame)
# cv2.waitKey(self.waitTime)
# cv2.destroyAllWindows()
if __name__ == "__main__":
unittest.main()