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
|
# coding: utf-8
# /*##########################################################################
#
# Copyright (C) 2018 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ###########################################################################*/
__authors__ = ["V. Valls"]
__license__ = "MIT"
import numpy
from .DataModel import DataModel
class MaskedImageModel(DataModel):
"""Image cleaned up by setting masked pixels to NaN"""
def __init__(self, parent=None, image=None, mask=None):
super(MaskedImageModel, self).__init__(parent=parent)
self.__image = image
self.__mask = mask
image.changed.connect(self.__invalidateValue)
mask.changed.connect(self.__invalidateValue)
self.__value = None
def __computeImageData(self):
image = self.__image.value()
if image is None:
return None
mask = self.__mask.value()
if mask is None:
return image
if mask.shape != image.shape:
return image
image = image.astype(copy=True, dtype=numpy.float32)
image[mask != 0] = float("nan")
return image
def __invalidateValue(self):
self.__value = None
self.wasChanged()
def value(self):
if self.__value is None:
self.__value = self.__computeImageData()
return self.__value
|
