def add_op(volumes,
onGrid=None,
boundingGrid=None,
subregion='all',
step=1,
gridSubregion='all',
gridStep=1,
inPlace=False,
scaleFactors=None,
modelId=None):
volumes = filter_volumes(volumes)
if boundingGrid is None and not inPlace:
boundingGrid = (onGrid is None)
if onGrid is None:
onGrid = volumes[:1]
onGrid = filter_volumes(onGrid, 'onGrid')
subregion = parse_subregion(subregion)
step = parse_step(step)
gridSubregion = parse_subregion(gridSubregion, 'gridSubregion')
gridStep = parse_step(gridStep, 'gridStep')
if inPlace:
if boundingGrid or gridStep != 1 or gridSubregion != 'all':
raise CommandError, "Can't use inPlace option with boundingGrid or gridStep or gridSubregion options"
for gv in onGrid:
if not gv.data.writable:
raise CommandError, "Can't modify volume in place: %s" % gv.name
if not gv in volumes:
raise CommandError, "Can't change grid in place"
if isinstance(scaleFactors, basestring):
scaleFactors = parse_floats(scaleFactors, 'scaleFactors', len(volumes))
modelId = parse_model_id(modelId)
for gv in onGrid:
add_operation(volumes, subregion, step, gv, gridSubregion, gridStep,
boundingGrid, inPlace, scaleFactors, modelId)
def add_op(volumes, onGrid = None, boundingGrid = None,
subregion = 'all', step = 1,
gridSubregion = 'all', gridStep = 1,
inPlace = False, scaleFactors = None, modelId = None):
volumes = filter_volumes(volumes)
if boundingGrid is None and not inPlace:
boundingGrid = (onGrid is None)
if onGrid is None:
onGrid = volumes[:1]
onGrid = filter_volumes(onGrid, 'onGrid')
subregion = parse_subregion(subregion)
step = parse_step(step)
gridSubregion = parse_subregion(gridSubregion, 'gridSubregion')
gridStep = parse_step(gridStep, 'gridStep')
if inPlace:
if boundingGrid or gridStep != 1 or gridSubregion != 'all':
raise CommandError, "Can't use inPlace option with boundingGrid or gridStep or gridSubregion options"
for gv in onGrid:
if not gv.data.writable:
raise CommandError, "Can't modify volume in place: %s" % gv.name
if not gv in volumes:
raise CommandError, "Can't change grid in place"
if isinstance(scaleFactors, basestring):
scaleFactors = parse_floats(scaleFactors, 'scaleFactors', len(volumes))
modelId = parse_model_id(modelId)
for gv in onGrid:
add_operation(volumes, subregion, step,
gv, gridSubregion, gridStep,
boundingGrid, inPlace, scaleFactors, modelId)
def map_statistics(operation, volume, step=1, subregion='all'):
from VolumeViewer import Volume
vlist = [m for m in volume if isinstance(m, Volume)]
if len(vlist) == 0:
raise CommandError('No volume specified')
from Commands import parse_step, parse_subregion
subregion_arg = subregion
subregion = parse_subregion(subregion)
step_arg = step
step = parse_step(step)
import VolumeStatistics as VS
for v in vlist:
m = v.matrix(step=step, subregion=subregion)
mean, sd, rms = VS.mean_sd_rms(m)
descrip = v.name
if step_arg != 1:
descrip += ', step %s' % step_arg
if subregion_arg != 'all':
descrip += ', subregion %s' % subregion_arg
msg = '%s: mean = %.5g, SD = %.5g, RMS = %.5g' % (descrip, mean, sd,
rms)
VS.message(msg, show_reply_log=True)
def map_sum(operation, volume, aboveThreshold=None, step=1, subregion='all'):
from VolumeViewer import Volume
vlist = [m for m in volume if isinstance(m, Volume)]
if len(vlist) == 0:
raise CommandError('No volume specified')
from Commands import parse_step, parse_subregion
subregion_arg = subregion
subregion = parse_subregion(subregion)
step_arg = step
step = parse_step(step)
import numpy
import VolumeStatistics as VS
for v in vlist:
m = v.matrix(step=step, subregion=subregion)
if aboveThreshold is None:
s = m.sum(dtype=numpy.float64)
else:
ma = (m >= aboveThreshold)
na = ma.sum(dtype=numpy.int64)
mt = ma.astype(m.dtype)
mt *= m
s = mt.sum(dtype=numpy.float64)
descrip = v.name
if step_arg != 1:
descrip += ', step %s' % step_arg
if subregion_arg != 'all':
descrip += ', subregion %s' % subregion_arg
if not aboveThreshold is None:
descrip += ', level >= %.5g, npoints %d' % (aboveThreshold, na)
msg = '%s: sum = %.5g' % (descrip, s)
VS.message(msg, show_reply_log=True)
def scale_op(volumes,
shift=0,
factor=1,
type=None,
subregion='all',
step=1,
modelId=None):
volumes = filter_volumes(volumes)
check_number(shift, 'shift')
check_number(factor, 'factor')
if not type is None:
import numpy as n
types = {
'int8': n.int8,
'uint8': n.uint8,
'int16': n.int16,
'uint16': n.uint16,
'int32': n.int32,
'uint32': n.uint32,
'float32': n.float32,
'float64': n.float64,
}
if type in types:
type = types[type]
else:
raise CommandError, ('Unknown data value type "%s", use %s' %
(type, ', '.join(types.keys())))
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from scale import scaled_volume
for v in volumes:
scaled_volume(v, factor, shift, type, step, subregion, modelId)
def morph_op(volumes, frames = 25, start = 0, playStep = 0.04,
playDirection = 1, playRange = None, addMode = False,
constantVolume = False, scaleFactors = None,
hideOriginalMaps = True, subregion = 'all', step = 1,
modelId = None):
volumes = filter_volumes(volumes)
check_number(frames, 'frames', int, nonnegative = True)
check_number(start, 'start')
check_number(playStep, 'playStep', nonnegative = True)
if playRange is None:
if addMode:
prange = (-1.0,1.0)
else:
prange = (0.0,1.0)
else:
prange = parse_floats(playRange, 'playRange', 2)
check_number(playDirection, 'playDirection')
sfactors = parse_floats(scaleFactors, 'scaleFactors', len(volumes))
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
vs = [tuple(v.matrix_size(step = step, subregion = subregion))
for v in volumes]
if len(set(vs)) > 1:
sizes = ' and '.join([str(s) for s in vs])
raise CommandError, "Volume grid sizes don't match: %s" % sizes
from MorphMap import morph_maps
morph_maps(volumes, frames, start, playStep, playDirection, prange,
addMode, constantVolume, sfactors,
hideOriginalMaps, subregion, step, modelId)
def scale_op(volumes, shift = 0, factor = 1, type = None,
subregion = 'all', step = 1, modelId = None):
volumes = filter_volumes(volumes)
check_number(shift, 'shift')
check_number(factor, 'factor')
if not type is None:
import numpy as n
types = {'int8': n.int8,
'uint8': n.uint8,
'int16': n.int16,
'uint16': n.uint16,
'int32': n.int32,
'uint32': n.uint32,
'float32': n.float32,
'float64': n.float64,
}
if type in types:
type = types[type]
else:
raise CommandError, ('Unknown data value type "%s", use %s'
% (type, ', '.join(types.keys())))
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from scale import scaled_volume
for v in volumes:
scaled_volume(v, factor, shift, type, step, subregion, modelId)
def fourier_op(volumes, subregion = 'all', step = 1, modelId = None):
volumes = filter_volumes(volumes)
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from fourier import fourier_transform
for v in volumes:
fourier_transform(v, step, subregion, modelId)
def laplacian_op(volumes, subregion = 'all', step = 1, modelId = None):
volumes = filter_volumes(volumes)
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from laplace import laplacian
for v in volumes:
laplacian(v, step, subregion, modelId)
def z_flip_op(volumes, subregion='all', step=1, inPlace=False, modelId=None):
volumes = filter_volumes(volumes)
subregion = parse_subregion(subregion)
step = parse_step(step)
check_in_place(inPlace, volumes[:1])
modelId = parse_model_id(modelId)
for v in volumes:
zflip_operation(v, subregion, step, inPlace, modelId)
def resample_op(volumes, onGrid = None, boundingGrid = False,
subregion = 'all', step = 1,
gridSubregion = 'all', gridStep = 1,
modelId = None):
volumes = filter_volumes(volumes)
if onGrid is None:
raise CommandError, 'Resample operation must specify onGrid option'
subregion = parse_subregion(subregion)
step = parse_step(step)
gridSubregion = parse_subregion(gridSubregion, 'gridSubregion')
gridStep = parse_step(gridStep, 'gridStep')
onGrid = filter_volumes(onGrid, 'onGrid')
modelId = parse_model_id(modelId)
for v in volumes:
for gv in onGrid:
add_operation([v], subregion, step,
gv, gridSubregion, gridStep,
boundingGrid, False, None, modelId)
def laplacian_op(volumes, subregion='all', step=1, modelId=None):
volumes = filter_volumes(volumes)
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from laplace import laplacian
for v in volumes:
laplacian(v, step, subregion, modelId)
def fourier_op(volumes, subregion='all', step=1, modelId=None):
volumes = filter_volumes(volumes)
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from fourier import fourier_transform
for v in volumes:
fourier_transform(v, step, subregion, modelId)
def z_flip_op(volumes, subregion = 'all', step = 1,
inPlace = False, modelId = None):
volumes = filter_volumes(volumes)
subregion = parse_subregion(subregion)
step = parse_step(step)
check_in_place(inPlace, volumes[:1])
modelId = parse_model_id(modelId)
for v in volumes:
zflip_operation(v, subregion, step, inPlace, modelId)
def gaussian_op(volumes, sDev=1.0, subregion='all', step=1, modelId=None):
volumes = filter_volumes(volumes)
check_number(sDev, 'sDev', positive=True)
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from gaussian import gaussian_convolve
for v in volumes:
gaussian_convolve(v, sDev, step, subregion, modelId)
def gaussian_op(volumes, sDev = 1.0,
subregion = 'all', step = 1, modelId = None):
volumes = filter_volumes(volumes)
check_number(sDev, 'sDev', positive = True)
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from gaussian import gaussian_convolve
for v in volumes:
gaussian_convolve(v, sDev, step, subregion, modelId)
def resample_op(volumes,
onGrid=None,
boundingGrid=False,
subregion='all',
step=1,
gridSubregion='all',
gridStep=1,
modelId=None):
volumes = filter_volumes(volumes)
if onGrid is None:
raise CommandError, 'Resample operation must specify onGrid option'
subregion = parse_subregion(subregion)
step = parse_step(step)
gridSubregion = parse_subregion(gridSubregion, 'gridSubregion')
gridStep = parse_step(gridStep, 'gridStep')
onGrid = filter_volumes(onGrid, 'onGrid')
modelId = parse_model_id(modelId)
for v in volumes:
for gv in onGrid:
add_operation([v], subregion, step, gv, gridSubregion, gridStep,
boundingGrid, False, None, modelId)
def boxes_op(volumes, markers, size = 0, useMarkerSize = False,
subregion = 'all', step = 1, modelId = None):
volumes = filter_volumes(volumes)
check_number(size, 'size')
if size <= 0 and not useMarkerSize:
raise CommandError, 'Must specify size or enable useMarkerSize'
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from boxes import boxes
for v in volumes:
boxes(v, markers, size, useMarkerSize, step, subregion, modelId)
def bin_op(volumes, subregion='all', step=1, binSize=(2, 2, 2), modelId=None):
volumes = filter_volumes(volumes)
subregion = parse_subregion(subregion)
step = parse_step(step)
if isinstance(binSize, int):
binSize = (binSize, binSize, binSize)
elif isinstance(binSize, basestring):
binSize = parse_ints(binSize, 'binSize', 3)
modelId = parse_model_id(modelId)
from bin import bin
for v in volumes:
bin(v, binSize, step, subregion, modelId)
def permute_axes_op(volumes, axisOrder = 'xyz',
subregion = 'all', step = 1, modelId = None):
volumes = filter_volumes(volumes)
ao = {'xyz':(0,1,2), 'xzy':(0,2,1), 'yxz':(1,0,2),
'yzx':(1,2,0), 'zxy':(2,0,1), 'zyx':(2,1,0)}
if not axisOrder in ao:
raise CommandError, 'Axis order must be xyz, xzy, zxy, zyx, yxz, or yzx'
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from permute import permute_axes
for v in volumes:
permute_axes(v, ao[axisOrder], step, subregion, modelId)
def bin_op(volumes, subregion = 'all', step = 1,
binSize = (2,2,2), modelId = None):
volumes = filter_volumes(volumes)
subregion = parse_subregion(subregion)
step = parse_step(step)
if isinstance(binSize, int):
binSize = (binSize, binSize, binSize)
elif isinstance(binSize, basestring):
binSize = parse_ints(binSize, 'binSize', 3)
modelId = parse_model_id(modelId)
from bin import bin
for v in volumes:
bin(v, binSize, step, subregion, modelId)
def octant_complement_op(volumes, center = None, iCenter = None,
subregion = 'all', step = 1, inPlace = False,
fillValue = 0, modelId = None):
volumes = filter_volumes(volumes)
center = parse_floats(center, 'center', 3)
iCenter = parse_floats(iCenter, 'iCenter', 3)
subregion = parse_subregion(subregion)
step = parse_step(step)
check_in_place(inPlace, volumes)
check_number(fillValue, 'fillValue')
modelId = parse_model_id(modelId)
outside = False
for v in volumes:
octant_operation(v, outside, center, iCenter, subregion, step,
inPlace, fillValue, modelId)
def median_op(volumes, binSize = 3, iterations = 1,
subregion = 'all', step = 1, modelId = None):
volumes = filter_volumes(volumes)
check_number(iterations, 'iterations', positive = True)
binSize = parse_step(binSize, 'binSize', require_3_tuple = True)
for b in binSize:
if b <= 0 or b % 2 == 0:
raise CommandError, 'Bin size must be positive odd integer, got %d' % b
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from median import median_filter
for v in volumes:
median_filter(v, binSize, iterations, step, subregion, modelId)
def boxes_op(volumes,
markers,
size=0,
useMarkerSize=False,
subregion='all',
step=1,
modelId=None):
volumes = filter_volumes(volumes)
check_number(size, 'size')
if size <= 0 and not useMarkerSize:
raise CommandError, 'Must specify size or enable useMarkerSize'
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from boxes import boxes
for v in volumes:
boxes(v, markers, size, useMarkerSize, step, subregion, modelId)
def median_op(volumes,
binSize=3,
iterations=1,
subregion='all',
step=1,
modelId=None):
volumes = filter_volumes(volumes)
check_number(iterations, 'iterations', positive=True)
binSize = parse_step(binSize, 'binSize', require_3_tuple=True)
for b in binSize:
if b <= 0 or b % 2 == 0:
raise CommandError, 'Bin size must be positive odd integer, got %d' % b
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from median import median_filter
for v in volumes:
median_filter(v, binSize, iterations, step, subregion, modelId)
def octant_complement_op(volumes,
center=None,
iCenter=None,
subregion='all',
step=1,
inPlace=False,
fillValue=0,
modelId=None):
volumes = filter_volumes(volumes)
center = parse_floats(center, 'center', 3)
iCenter = parse_floats(iCenter, 'iCenter', 3)
subregion = parse_subregion(subregion)
step = parse_step(step)
check_in_place(inPlace, volumes)
check_number(fillValue, 'fillValue')
modelId = parse_model_id(modelId)
outside = False
for v in volumes:
octant_operation(v, outside, center, iCenter, subregion, step, inPlace,
fillValue, modelId)
def morph_op(volumes,
frames=25,
start=0,
playStep=0.04,
playDirection=1,
playRange=None,
addMode=False,
constantVolume=False,
scaleFactors=None,
hideOriginalMaps=True,
subregion='all',
step=1,
modelId=None):
volumes = filter_volumes(volumes)
check_number(frames, 'frames', int, nonnegative=True)
check_number(start, 'start')
check_number(playStep, 'playStep', nonnegative=True)
if playRange is None:
if addMode:
prange = (-1.0, 1.0)
else:
prange = (0.0, 1.0)
else:
prange = parse_floats(playRange, 'playRange', 2)
check_number(playDirection, 'playDirection')
sfactors = parse_floats(scaleFactors, 'scaleFactors', len(volumes))
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
vs = [
tuple(v.matrix_size(step=step, subregion=subregion)) for v in volumes
]
if len(set(vs)) > 1:
sizes = ' and '.join([str(s) for s in vs])
raise CommandError, "Volume grid sizes don't match: %s" % sizes
from MorphMap import morph_maps
morph_maps(volumes, frames, start, playStep, playDirection, prange,
addMode, constantVolume, sfactors, hideOriginalMaps, subregion,
step, modelId)
def permute_axes_op(volumes,
axisOrder='xyz',
subregion='all',
step=1,
modelId=None):
volumes = filter_volumes(volumes)
ao = {
'xyz': (0, 1, 2),
'xzy': (0, 2, 1),
'yxz': (1, 0, 2),
'yzx': (1, 2, 0),
'zxy': (2, 0, 1),
'zyx': (2, 1, 0)
}
if not axisOrder in ao:
raise CommandError, 'Axis order must be xyz, xzy, zxy, zyx, yxz, or yzx'
subregion = parse_subregion(subregion)
step = parse_step(step)
modelId = parse_model_id(modelId)
from permute import permute_axes
for v in volumes:
permute_axes(v, ao[axisOrder], step, subregion, modelId)
