def insertLayer(self, index, name=None, data=None):
'''
insert a new image as layer
...add new / override existing layer
...show dialog when data.shape != self.image.shape
'''
if data is not None:
try:
self.image = np.insert(self.image, index, data, axis=0)
except IndexError:
index = -1
self.image = np.insert(self.image, index, data, axis=0)
except (ValueError, MemoryError):
if index == 0 and len(self.image) == 1:
#replace, if only has one layer
self.image = np.expand_dims(data, axis=0)
else:
if type(data) == list:
data = data[0]
s1 = self.image[0].shape
s2 = data.shape
#LAYER COLOR IS DIFFERENT:
c1 = isColor(self.image[0])
c2 = isColor(data)
if c1 and not c2:
data = toColor(data)
s2 = data.shape
elif not c1 and c2:
self.image = toColor(self.image)
s1 = self.image[0].shape
if s1 != s2:
#NEW LAYER SHAPE DOESNT FIT EXISTING:
###show DIALOG#####
d = DifferentShapeDialog(name, s1, s2)
d.exec_()
r = d.opt
if r == d.optNewDisplay:
self.moveLayerToNewImage = index
return
elif r == d.optCut:
data = data[0:s1[0],0:s1[1]]
if data.shape != s1:
d = np.zeros(s1)
d[0:s2[0], 0:s2[1]]=data
data = d
elif r == d.optResize:
data = cv2.resize(data, (s1[1],s1[0]))
elif r == d.optWarp:
data = PerspectiveTransformation(self.image[-1]).fitImg(data)
self.image = np.insert(self.image, index, data, axis=0)
self.currentIndex = index
self.setImage(self.image)
return self.image[index]
def insertLayer(self, index, name=None, data=None):
'''
insert a new image as layer
...add new / override existing layer
...show dialog when data.shape != self.image.shape
'''
if data is not None:
try:
self.image = np.insert(self.image, index, data, axis=0)
except IndexError:
index = -1
self.image = np.insert(self.image, index, data, axis=0)
except (ValueError, MemoryError):
if index == 0 and len(self.image) == 1:
# replace, if only has one layer
self.image = np.expand_dims(data, axis=0)
else:
if isinstance(data, list):
data = data[0]
s1 = self.image[0].shape
s2 = data.shape
# LAYER COLOR IS DIFFERENT:
c1 = isColor(self.image[0])
c2 = isColor(data)
if c1 and not c2:
data = toColor(data)
s2 = data.shape
elif not c1 and c2:
self.image = toColor(self.image)
s1 = self.image[0].shape
if s1 != s2:
if isRot90(s1, s2):
print('Image is rotated 90DEG.')
data = rot90(data)
else:
# NEW LAYER SHAPE DOESNT FIT EXISTING:
###show DIALOG#####
d = DifferentShapeDialog(name, s1, s2)
d.exec_()
r = d.opt
if r == d.optNewDisplay:
self.moveLayerToNewImage = index
return
elif r == d.optCut:
data = data[0:s1[0], 0:s1[1]]
if data.shape != s1:
d = np.zeros(s1)
d[0:s2[0], 0:s2[1]] = data
data = d
elif r == d.optResize:
data = cv2.resize(data, (s1[1], s1[0]))
elif r == d.optWarp:
data = PerspectiveImageStitching(
self.image[-1]).fitImg(data)
self.image = np.insert(self.image, index, data, axis=0)
self.currentIndex = index
self.setImage(self.image)
return self.image[index]
def activate(self):
w = self.display.widget
w.setImage(toColor(w.image))
def activate(self):
w = self.display.widget
w.setImage(toColor(w.image))