def find_columns(self):
"""Get columns in a section of the image
"""
portion = iulib.bytearray()
iulib.extract_subimage(portion, self.inverted, 0, 0,
self.inverted.dim(0), self.topptr)
projection = high_pass_median(iulib.numpy(portion).sum(axis=1), 0.20)
posscols = self.get_possible_columns(projection)
bestcols = self.filter_columns(posscols, int(self._params.get("columns", 1)))
self.columns.extend(bestcols)
def find_columns(self):
"""Get columns in a section of the image
"""
portion = iulib.bytearray()
iulib.extract_subimage(portion, self.inverted, 0, 0,
self.inverted.dim(0), self.topptr)
projection = high_pass_median(iulib.numpy(portion).sum(axis=1), 0.20)
posscols = self.get_possible_columns(projection)
bestcols = self.filter_columns(posscols,
int(self._params.get("columns", 1)))
self.columns.extend(bestcols)
def remove_border(narray, average_char_height):
"""Try and remove anything that's in a likely
border region and return the subimage."""
na = iulib.numpy(narray)
hpr = na.sum(axis=0)
vpr = na.sum(axis=1)
hhp = high_pass_median(hpr, 5.0 / average_char_height)
vhp = high_pass_median(vpr, 5.0 / average_char_height)
vidx = vhp.nonzero()[0]
hidx = hhp.nonzero()[0]
b = iulib.bytearray()
iulib.extract_subimage(b, narray, int(vidx[0]), int(hidx[0]),
int(vidx[-1]), int(hidx[-1]))
return b
def remove_border(narray, average_char_height):
"""Try and remove anything that's in a likely
border region and return the subimage."""
na = iulib.numpy(narray)
hpr = na.sum(axis=0)
vpr = na.sum(axis=1)
hhp = high_pass_median(hpr, 5.0 / average_char_height)
vhp = high_pass_median(vpr, 5.0 / average_char_height)
vidx = vhp.nonzero()[0]
hidx = hhp.nonzero()[0]
b = iulib.bytearray()
iulib.extract_subimage(b, narray, int(vidx[0]), int(hidx[0]),
int(vidx[-1]), int(hidx[-1]))
return b
def get_lines_by_projection(narray, highpass=0.001):
"""Extract regions of blackness."""
hpr = iulib.numpy(narray).sum(axis=0)
hps = high_pass_max(hpr, highpass)
regions = []
gotline = None
count = 0
for val in hps:
if val != 0:
if gotline is None:
gotline = count
else:
if not gotline is None:
regions.append((gotline, count))
gotline = None
count += 1
return regions
def get_lines_by_projection(narray, highpass=0.001):
"""Extract regions of blackness."""
hpr = iulib.numpy(narray).sum(axis=0)
hps = high_pass_max(hpr, highpass)
regions = []
gotline = None
count = 0
for val in hps:
if val != 0:
if gotline is None:
gotline = count
else:
if not gotline is None:
regions.append((gotline, count))
gotline = None
count += 1
return regions
def get_horizontal_projection(narray):
"""Accumulate image rows."""
return iulib.numpy(narray).sum(axis=0)
def get_vertical_projection(narray):
"""Accumulate image columns."""
return iulib.numpy(narray).sum(axis=1)
def get_horizontal_projection(narray):
"""Accumulate image rows."""
return iulib.numpy(narray).sum(axis=0)
def get_vertical_projection(narray):
"""Accumulate image columns."""
return iulib.numpy(narray).sum(axis=1)