def get_measurement_columns(self, pipeline):
'''Return columns that define the measurements produced by this module'''
result = get_object_measurement_columns(self.straightened_objects_name.value)
if self.wants_measurements:
nsegments = self.number_of_segments.value
nstripes = self.number_of_stripes.value
if nsegments > 1:
result += [(self.straightened_objects_name.value,
"_".join((C_WORM, ftr,
group.straightened_image_name.value,
self.get_scale_name(None, segment))),
cpmeas.COLTYPE_FLOAT)
for ftr, group, segment
in product((FTR_MEAN_INTENSITY, FTR_STD_INTENSITY),
self.images,
range(nsegments))]
if nstripes > 1:
result += [(self.straightened_objects_name.value,
"_".join((C_WORM, ftr,
group.straightened_image_name.value,
self.get_scale_name(stripe, None))),
cpmeas.COLTYPE_FLOAT)
for ftr, group, stripe
in product((FTR_MEAN_INTENSITY, FTR_STD_INTENSITY),
self.images,
range(nstripes))]
if nsegments > 1 and nstripes > 1:
result += [(self.straightened_objects_name.value,
"_".join((C_WORM, ftr,
group.straightened_image_name.value,
self.get_scale_name(stripe, segment))),
cpmeas.COLTYPE_FLOAT)
for ftr, group, stripe, segment
in product((FTR_MEAN_INTENSITY, FTR_STD_INTENSITY),
self.images,
range(nstripes),
range(nsegments))]
return result
def get_measurement_columns(self, pipeline):
'''Return columns that define the measurements produced by this module'''
result = get_object_measurement_columns(self.straightened_objects_name.value)
if self.wants_measurements:
nsegments = self.number_of_segments.value
nstripes = self.number_of_stripes.value
if nsegments > 1:
result += [(self.straightened_objects_name.value,
"_".join((C_WORM, ftr,
group.straightened_image_name.value,
self.get_scale_name(None, segment))),
cpmeas.COLTYPE_FLOAT)
for ftr, group, segment
in product((FTR_MEAN_INTENSITY, FTR_STD_INTENSITY),
self.images,
range(nsegments))]
if nstripes > 1:
result += [(self.straightened_objects_name.value,
"_".join((C_WORM, ftr,
group.straightened_image_name.value,
self.get_scale_name(stripe, None))),
cpmeas.COLTYPE_FLOAT)
for ftr, group, stripe
in product((FTR_MEAN_INTENSITY, FTR_STD_INTENSITY),
self.images,
range(nstripes))]
if nsegments > 1 and nstripes > 1:
result += [(self.straightened_objects_name.value,
"_".join((C_WORM, ftr,
group.straightened_image_name.value,
self.get_scale_name(stripe, segment))),
cpmeas.COLTYPE_FLOAT)
for ftr, group, stripe, segment
in product((FTR_MEAN_INTENSITY, FTR_STD_INTENSITY),
self.images,
range(nstripes),
range(nsegments))]
return result
def get_measurement_scales(self, pipeline, object_name, category,
measurement, image_name):
result = []
if image_name in self.get_measurement_images(
pipeline, object_name, category, measurement):
nsegments = self.number_of_segments.value
nstripes = self.number_of_stripes.value
if nsegments > 1:
result += [self.get_scale_name(None, segment)
for segment in range(nsegments)]
if nstripes > 1:
result += [self.get_scale_name(stripe, None)
for stripe in range(nstripes)]
if nstripes > 1 and nsegments > 1:
result += [self.get_scale_name(h, v)
for h,v in product(
range(nstripes),
range(nsegments))]
return result
def get_measurement_scales(self, pipeline, object_name, category,
measurement, image_name):
result = []
if image_name in self.get_measurement_images(
pipeline, object_name, category, measurement):
nsegments = self.number_of_segments.value
nstripes = self.number_of_stripes.value
if nsegments > 1:
result += [self.get_scale_name(None, segment)
for segment in range(nsegments)]
if nstripes > 1:
result += [self.get_scale_name(stripe, None)
for stripe in range(nstripes)]
if nstripes > 1 and nsegments > 1:
result += [self.get_scale_name(h, v)
for h,v in product(
range(nstripes),
range(nsegments))]
return result
