def _reconstruct_pixmaps_fast (self, axis=2) :
pal = self.palette()
data = self.image()
#rotation
tr = QTransform()
tr.rotate(self._transform)
#construct pixmaps
pix = []
if len(data.shape) == 4:
vdim = data.shape[3]
else:
vdim = 1
# when viewing in Z and in Z only, we can use
# the system's native LUT
forceNativeLut = False #True if axis == 2 else False
# set to true to copy img to a c_contiguous buffer
make_contiguous = False if (vdim == 1 or axis!=2) else True
for z in xrange(data.shape[axis]) :
if axis == 0 :
dat = data[z,:,:]
elif axis == 1 :
dat = data[:,z,:]
else :
dat = data[:,:,z]
if make_contiguous:
dat = dat.copy()
dat = to_pix(dat,
lut=pal,
forceNativeLut=forceNativeLut)
pix.append(dat.transformed(tr) )
self._pixmaps = pix
self._current_slice = min(max(self._current_slice,0),len(pix) - 1)
def _reconstruct_pixmaps_fast(self, axis=2):
pal = self.palette()
data = self.image()
#rotation
tr = QTransform()
tr.rotate(self._transform)
#construct pixmaps
pix = []
if len(data.shape) == 4:
vdim = data.shape[3]
else:
vdim = 1
# when viewing in Z and in Z only, we can use
# the system's native LUT
forceNativeLut = False #True if axis == 2 else False
# set to true to copy img to a c_contiguous buffer
make_contiguous = False if (vdim == 1 or axis != 2) else True
for z in xrange(data.shape[axis]):
if axis == 0:
dat = data[z, :, :]
elif axis == 1:
dat = data[:, z, :]
else:
dat = data[:, :, z]
if make_contiguous:
dat = dat.copy()
dat = to_pix(dat, lut=pal, forceNativeLut=forceNativeLut)
pix.append(dat.transformed(tr))
self._pixmaps = pix
self._current_slice = min(max(self._current_slice, 0), len(pix) - 1)
def _reconstruct_pixmaps(self, axis=2):
pal = self.palette()
data = self.image()
#rotation
tr = QTransform()
tr.rotate(self._transform)
#construct pixmaps
pix = []
# Manage also colored images.
if len(data.shape) == 4 and data.shape[-1] in (3, 4):
if data.dtype != uint8:
raise Exception(
"Only uint8 RGB[A] images supported, got %s instead" %
str(data.dtype))
pal = None
for z in xrange(data.shape[axis]):
if axis == 0:
dat = data[z, :, :]
elif axis == 1:
dat = data[:, z, :]
else:
dat = data[:, :, z]
if pal is not None:
dat = pal[dat]
if isinstance(data, SpatialImage):
dat = SpatialImage(dat)
#img = QImage(dat,
# data.shape[0],
# data.shape[1],
# QImage.Format_ARGB32)
dat = to_pix(dat)
pix.append(dat.transformed(tr))
self._pixmaps = pix
self._current_slice = min(max(self._current_slice, 0), len(pix) - 1)
def _reconstruct_pixmaps (self, axis=2) :
pal = self.palette()
data = self.image()
#rotation
tr = QTransform()
tr.rotate(self._transform)
#construct pixmaps
pix = []
# Manage also colored images.
if len(data.shape) == 4 and data.shape[-1] in (3,4):
if data.dtype != uint8:
raise Exception("Only uint8 RGB[A] images supported, got %s instead"%str(data.dtype))
pal = None
for z in xrange(data.shape[axis]) :
if axis == 0 :
dat = data[z,:,:]
elif axis == 1 :
dat = data[:,z,:]
else :
dat = data[:,:,z]
if pal is not None:
dat = pal[dat]
if isinstance(data, SpatialImage):
dat=SpatialImage(dat)
#img = QImage(dat,
# data.shape[0],
# data.shape[1],
# QImage.Format_ARGB32)
dat = to_pix (dat)
pix.append(dat.transformed(tr) )
self._pixmaps = pix
self._current_slice = min(max(self._current_slice,0),len(pix) - 1)
