def _get_kernel_data(self, data, subkernel=True):
self.fold(data)
if self.kernel is None:
raise PSFErr('notset')
kernel = self.kernel
dep = None
indep = None
lo = None
hi = None
if isinstance(kernel, Data):
dep = numpy.asarray(kernel.get_dep())
indep = kernel.get_indep()
elif callable(kernel):
dep = kernel(*self.model.args, **self.model.kwargs)
indep = self.model.args
kshape = self.model.kshape
if subkernel:
(dep, newshape) = self.model.init_kernel(dep)
if (numpy.array(kshape) != numpy.array(newshape)).any():
newindep = []
for axis in indep:
args = extract_kernel(axis,
self.model.kshape,
self.model.size,
self.model.center,
self.model.lo,
self.model.hi,
self.model.width,
self.model.radial)
newaxis = args[0]
lo = args[3] # subkernel offsets (lower bound)
hi = args[4] # subkernel offsets (upper bound)
newindep.append(newaxis)
indep = newindep
kshape = newshape
if self.model.frac is not None:
info('PSF frac: %s' % self.model.frac)
if numpy.isscalar(kshape):
kshape = [kshape]
return (indep, dep, kshape, lo, hi)
def init_kernel(self, kernel):
# If PSF dataset, normalize before kernel extraction
# if not self.is_model and self.norm:
if self.norm:
kernel = normalize(kernel)
(kernel, kshape, self.frac, lo,
hi) = extract_kernel(kernel, self.kshape, self.size, self.center,
self.lo, self.hi, self.width, self.radial)
# If PSF model, then normalize integrated volume to 1, after
# kernel extraction
# if self.is_model and self.norm:
# self.frac = 1.0
# kernel = normalize(kernel)
# Find brightest pixel of PSF--assume that is the origin
# Just assuming that the origin is half of szs1 can lead to
# unwanted pixel shifts--but this assumes that origin should
# be centered on brightest pixel.
brightPixel = list(numpy.where(kernel == kernel.max())).pop()
# if more than one pixel qualifies as brightest, such as const2D
# use the middle of subkernel -- assumes the user provided center at
# time of kernel extraction, so that should be middle of subkernel.
origin = None
if (not numpy.isscalar(brightPixel)) and len(brightPixel) != 1:
origin = set_origin(kshape)
else:
# brightPixel is a NumPy index (int64) which - as of NumPy 1.18
# and Python 3.8 - causes a TypeError with the message
# "only integer scalar arrays can be converted to a scalar index"
# to be thrown here if sent directly to set_origin. So
# we convert to a Python integer type.
#
origin = set_origin(kshape, int(brightPixel))
if self.origin is None:
self.origin = origin
if self.is_model and not self.frozen:
# if the kernel model has thawed parameters, clear the old FFT and
# recompute the kernel FFT at each model evaluation
self._tcd.clear_kernel_fft()
return (kernel, kshape)
def init_kernel(self, kernel):
# If PSF dataset, normalize before kernel extraction
# if not self.is_model and self.norm:
if self.norm:
kernel = normalize(kernel)
(kernel, kshape, self.frac,
lo, hi) = extract_kernel(kernel, self.kshape, self.size, self.center,
self.lo, self.hi, self.width, self.radial)
# If PSF model, then normalize integrated volume to 1, after
# kernel extraction
# if self.is_model and self.norm:
# self.frac = 1.0
# kernel = normalize(kernel)
# Find brightest pixel of PSF--assume that is the origin
# Just assuming that the origin is half of szs1 can lead to
# unwanted pixel shifts--but this assumes that origin should
# be centered on brightest pixel.
brightPixel = list(numpy.where(kernel == kernel.max())).pop()
origin = None
# if more than one pixel qualifies as brightest, such as const2D
# use the middle of subkernel -- assumes the user provided center at
# time of kernel extraction, so that should be middle of subkernel.
if (not numpy.isscalar(brightPixel)) and len(brightPixel) != 1:
origin = set_origin(kshape)
else:
origin = set_origin(kshape, brightPixel)
if self.origin is None:
self.origin = origin
if self.is_model and not self.frozen:
# if the kernel model has thawed parameters, clear the old FFT and
# recompute the kernel FFT at each model evaluation
self._tcd.clear_kernel_fft()
return (kernel, kshape)
