def find_tf_peak(self):
## print 'grabbing ordered_idx_tf from find_tf_peak'
o_idx = self.ordered_idx_tf()
if o_idx.shape in ( (), (0,) ):
print 'no features, all masked'
return
if self.ana_xform in ('absmax', 'max'):
tf_pk_idx = o_idx[-self.tf_order]
else:
tf_pk_idx = o_idx[self.tf_order-1]
## print 'grabbing beam_sig from find_tf_peak'
ti, fi = unravel_index(tf_pk_idx, self.beam_sig.shape[1:])
# update state of tf_idx and send new image signal
self.tf_idx = ti, fi
def find_alldim_peak(self):
## print 'grabbing ordered_idx_alldim from find_alldim_peak'
o_idx = self.ordered_idx_alldim()
if o_idx.shape in ( (), (0,) ):
print 'no features, all masked'
return
if self.ana_xform in ('absmax', 'max'):
# find the (last-order) unmasked ordered index
all_pk_idx = o_idx[-self.all_order]
else:
# find the lowest order unmasked index
all_pk_idx = o_idx[self.all_order-1]
## print 'grabbing beam_sig from find_alldim_peak'
vx, ti, fi = unravel_index(all_pk_idx, self.beam_sig.shape)
# update state and send off the new image signal
self.vox_idx = vx
self.tf_idx = ti, fi
self.signal_new_vox()
self.signal_new_image()