def get_scaled_cutout_wdht(self, x1, y1, x2, y2, new_wd, new_ht,
method='basic'):
"""Extract a region of the image defined by corners (x1, y1) and
(x2, y2) and resample it to fit dimensions (new_wd, new_ht).
`method` describes the method of interpolation used, where the
default "basic" is nearest neighbor.
"""
if method in ('basic', 'view'):
shp = self.shape
(view, (scale_x, scale_y)) = \
trcalc.get_scaled_cutout_wdht_view(shp, x1, y1, x2, y2,
new_wd, new_ht)
newdata = self._slice(view)
else:
data_np = self._get_data()
(newdata, (scale_x, scale_y)) = \
trcalc.get_scaled_cutout_wdht(data_np, x1, y1, x2, y2,
new_wd, new_ht,
interpolation=method,
logger=self.logger)
res = Bunch.Bunch(data=newdata, scale_x=scale_x, scale_y=scale_y)
return res
def get_scaled_cutout_wdht(self,
x1,
y1,
x2,
y2,
new_wd,
new_ht,
method='basic'):
"""Extract a region of the image defined by corners (x1, y1) and
(x2, y2) and resample it to fit dimensions (new_wd, new_ht).
`method` describes the method of interpolation used, where the
default "basic" is nearest neighbor.
"""
if method in ('basic', 'view'):
shp = self.shape
(view, (scale_x, scale_y)) = \
trcalc.get_scaled_cutout_wdht_view(shp, x1, y1, x2, y2,
new_wd, new_ht)
newdata = self._slice(view)
else:
data_np = self._get_data()
(newdata, (scale_x, scale_y)) = \
trcalc.get_scaled_cutout_wdht(data_np, x1, y1, x2, y2,
new_wd, new_ht,
interpolation=method,
logger=self.logger)
res = Bunch.Bunch(data=newdata, scale_x=scale_x, scale_y=scale_y)
return res
def get_scaled_cutout_wdht(self, x1, y1, x2, y2, new_wd, new_ht, method="bicubic"):
newdata, (scale_x, scale_y) = trcalc.get_scaled_cutout_wdht(
self._get_data(), x1, y1, x2, y2, new_wd, new_ht, interpolation=method
)
res = Bunch.Bunch(data=newdata, scale_x=scale_x, scale_y=scale_y)
return res
def get_scaled_cutout_wdht(self, x1, y1, x2, y2, new_wd, new_ht,
method='basic'):
newdata, (scale_x, scale_y) = trcalc.get_scaled_cutout_wdht(
self._get_data(), x1, y1, x2, y2, new_wd, new_ht,
interpolation=method, logger=self.logger)
res = Bunch.Bunch(data=newdata, scale_x=scale_x, scale_y=scale_y)
return res
def get_scaled_cutout_wdht(self, x1, y1, x2, y2, new_wd, new_ht):
data = self.get_data()
(newdata, (scale_x, scale_y)) = trcalc.get_scaled_cutout_wdht(data, x1, y1, x2, y2, new_wd, new_ht)
res = Bunch.Bunch(data=newdata, scale_x=scale_x, scale_y=scale_y)
return res
def get_scaled_cutout_by_dims(self, x1, y1, x2, y2, dst_wd, dst_ht,
method='basic'):
if method == 'basic':
return self.get_scaled_cutout_wdht(x1, y1, x2, y2, dst_wd, dst_ht)
data = self._get_data()
newdata, (scale_x, scale_y) = trcalc.get_scaled_cutout_wdht(
data, x1, y1, x2, y2, dst_wd, dst_ht, interpolation=method)
res = Bunch.Bunch(data=newdata, scale_x=scale_x, scale_y=scale_y)
return res
def get_scaled_cutout_by_dims(self,
x1,
y1,
x2,
y2,
dst_wd,
dst_ht,
method='basic'):
if method == 'basic':
return self.get_scaled_cutout_wdht(x1, y1, x2, y2, dst_wd, dst_ht)
data = self._get_data()
newdata, (scale_x, scale_y) = trcalc.get_scaled_cutout_wdht(
data, x1, y1, x2, y2, dst_wd, dst_ht, interpolation=method)
res = Bunch.Bunch(data=newdata, scale_x=scale_x, scale_y=scale_y)
return res
