-
Notifications
You must be signed in to change notification settings - Fork 5.5k
/
image.py
167 lines (119 loc) · 4.58 KB
/
image.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
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from PIL import Image
from paddle.utils import try_import
__all__ = []
_image_backend = 'pil'
def set_image_backend(backend):
"""
Specifies the backend used to load images in class :ref:`api_paddle_datasets_ImageFolder`
and :ref:`api_paddle_datasets_DatasetFolder` . Now support backends are pillow and opencv.
If backend not set, will use 'pil' as default.
Args:
backend (str): Name of the image load backend, should be one of {'pil', 'cv2'}.
Examples:
.. code-block:: python
import os
import shutil
import tempfile
import numpy as np
from PIL import Image
from paddle.vision import DatasetFolder
from paddle.vision import set_image_backend
set_image_backend('pil')
def make_fake_dir():
data_dir = tempfile.mkdtemp()
for i in range(2):
sub_dir = os.path.join(data_dir, 'class_' + str(i))
if not os.path.exists(sub_dir):
os.makedirs(sub_dir)
for j in range(2):
fake_img = Image.fromarray((np.random.random((32, 32, 3)) * 255).astype('uint8'))
fake_img.save(os.path.join(sub_dir, str(j) + '.png'))
return data_dir
temp_dir = make_fake_dir()
pil_data_folder = DatasetFolder(temp_dir)
for items in pil_data_folder:
break
# should get PIL.Image.Image
print(type(items[0]))
# use opencv as backend
# set_image_backend('cv2')
# cv2_data_folder = DatasetFolder(temp_dir)
# for items in cv2_data_folder:
# break
# should get numpy.ndarray
# print(type(items[0]))
shutil.rmtree(temp_dir)
"""
global _image_backend
if backend not in ['pil', 'cv2', 'tensor']:
raise ValueError(
"Expected backend are one of ['pil', 'cv2', 'tensor'], but got {}".format(
backend
)
)
_image_backend = backend
def get_image_backend():
"""
Gets the name of the package used to load images
Returns:
str: backend of image load.
Examples:
.. code-block:: python
from paddle.vision import get_image_backend
backend = get_image_backend()
print(backend)
"""
return _image_backend
def image_load(path, backend=None):
"""Load an image.
Args:
path (str): Path of the image.
backend (str, optional): The image decoding backend type. Options are
`cv2`, `pil`, `None`. If backend is None, the global _imread_backend
specified by :ref:`api_paddle_vision_set_image_backend` will be used. Default: None.
Returns:
PIL.Image or np.array: Loaded image.
Examples:
.. code-block:: python
import numpy as np
from PIL import Image
from paddle.vision import image_load, set_image_backend
fake_img = Image.fromarray((np.random.random((32, 32, 3)) * 255).astype('uint8'))
path = 'temp.png'
fake_img.save(path)
set_image_backend('pil')
pil_img = image_load(path).convert('RGB')
# should be PIL.Image.Image
print(type(pil_img))
# use opencv as backend
# set_image_backend('cv2')
# np_img = image_load(path)
# # should get numpy.ndarray
# print(type(np_img))
"""
if backend is None:
backend = _image_backend
if backend not in ['pil', 'cv2', 'tensor']:
raise ValueError(
"Expected backend are one of ['pil', 'cv2', 'tensor'], but got {}".format(
backend
)
)
if backend == 'pil':
return Image.open(path)
elif backend == 'cv2':
cv2 = try_import('cv2')
return cv2.imread(path)