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
205
206
|
#!/usr/bin/env python
"""Algorithm serialization test."""
from __future__ import print_function
import base64
import json
import tempfile
import os
import cv2 as cv
import numpy as np
from tests_common import NewOpenCVTests
class MyData:
def __init__(self):
self.A = 97
self.X = np.pi
self.name = 'mydata1234'
def write(self, fs, name):
fs.startWriteStruct(name, cv.FileNode_MAP|cv.FileNode_FLOW)
fs.write('A', self.A)
fs.write('X', self.X)
fs.write('name', self.name)
fs.endWriteStruct()
def read(self, node):
if (not node.empty()):
self.A = int(node.getNode('A').real())
self.X = node.getNode('X').real()
self.name = node.getNode('name').string()
else:
self.A = self.X = 0
self.name = ''
class filestorage_io_test(NewOpenCVTests):
strings_data = ['image1.jpg', 'Awesomeness', '../data/baboon.jpg']
R0 = np.eye(3,3)
T0 = np.zeros((3,1))
def write_data(self, fname):
fs = cv.FileStorage(fname, cv.FileStorage_WRITE)
R = self.R0
T = self.T0
m = MyData()
fs.write('iterationNr', 100)
fs.startWriteStruct('strings', cv.FileNode_SEQ)
for elem in self.strings_data:
fs.write('', elem)
fs.endWriteStruct()
fs.startWriteStruct('Mapping', cv.FileNode_MAP)
fs.write('One', 1)
fs.write('Two', 2)
fs.endWriteStruct()
fs.write('R_MAT', R)
fs.write('T_MAT', T)
m.write(fs, 'MyData')
fs.release()
def read_data_and_check(self, fname):
fs = cv.FileStorage(fname, cv.FileStorage_READ)
n = fs.getNode('iterationNr')
itNr = int(n.real())
self.assertEqual(itNr, 100)
n = fs.getNode('strings')
self.assertTrue(n.isSeq())
self.assertEqual(n.size(), len(self.strings_data))
for i in range(n.size()):
self.assertEqual(n.at(i).string(), self.strings_data[i])
n = fs.getNode('Mapping')
self.assertEqual(int(n.getNode('Two').real()), 2)
self.assertEqual(int(n.getNode('One').real()), 1)
R = fs.getNode('R_MAT').mat()
T = fs.getNode('T_MAT').mat()
self.assertEqual(cv.norm(R, self.R0, cv.NORM_INF), 0)
self.assertEqual(cv.norm(T, self.T0, cv.NORM_INF), 0)
m0 = MyData()
m = MyData()
m.read(fs.getNode('MyData'))
self.assertEqual(m.A, m0.A)
self.assertEqual(m.X, m0.X)
self.assertEqual(m.name, m0.name)
n = fs.getNode('NonExisting')
self.assertTrue(n.isNone())
fs.release()
def run_fs_test(self, ext):
fd, fname = tempfile.mkstemp(prefix="opencv_python_sample_filestorage", suffix=ext)
os.close(fd)
self.write_data(fname)
self.read_data_and_check(fname)
os.remove(fname)
def test_xml(self):
self.run_fs_test(".xml")
def test_yml(self):
self.run_fs_test(".yml")
def test_json(self):
self.run_fs_test(".json")
def test_base64(self):
fd, fname = tempfile.mkstemp(prefix="opencv_python_sample_filestorage_base64", suffix=".json")
os.close(fd)
np.random.seed(42)
self.write_base64_json(fname)
os.remove(fname)
@staticmethod
def get_normal_2d_mat():
rows = 10
cols = 20
cn = 3
image = np.zeros((rows, cols, cn), np.uint8)
image[:] = (1, 2, 127)
for i in range(rows):
for j in range(cols):
image[i, j, 1] = (i + j) % 256
return image
@staticmethod
def get_normal_nd_mat():
shape = (2, 2, 1, 2)
cn = 4
image = np.zeros(shape + (cn,), np.float64)
image[:] = (0.888, 0.111, 0.666, 0.444)
return image
@staticmethod
def get_empty_2d_mat():
shape = (0, 0)
cn = 1
image = np.zeros(shape + (cn,), np.uint8)
return image
@staticmethod
def get_random_mat():
rows = 8
cols = 16
cn = 1
image = np.random.rand(rows, cols, cn)
return image
@staticmethod
def decode(data):
# strip $base64$
encoded = data[8:]
if len(encoded) == 0:
return b''
# strip info about datatype and padding
return base64.b64decode(encoded)[24:]
def write_base64_json(self, fname):
fs = cv.FileStorage(fname, cv.FileStorage_WRITE_BASE64)
mats = {'normal_2d_mat': self.get_normal_2d_mat(),
'normal_nd_mat': self.get_normal_nd_mat(),
'empty_2d_mat': self.get_empty_2d_mat(),
'random_mat': self.get_random_mat()}
for name, mat in mats.items():
fs.write(name, mat)
fs.release()
data = {}
with open(fname) as file:
data = json.load(file)
for name, mat in mats.items():
buffer = b''
if mat.size != 0:
if hasattr(mat, 'tobytes'):
buffer = mat.tobytes()
else:
buffer = mat.tostring()
self.assertEqual(buffer, self.decode(data[name]['data']))
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
|
