def filter_and_bbox(imageIn):
from gamera.toolkits.ocr.classes import Page
my_filter(imageIn)
#p = StepTwo(imageIn)
p = Page(imageIn)
p.segment()
return show_lines(p)
print "rotated with", rotation, "angle"
if (opt.auto_group):
cknn = knn.kNNInteractive(
[], ["aspect_ratio", "volume64regions", "moments", "nholes_extended"],
0)
cknn.from_xml_filename(opt.trainfile)
if (opt.ccsfilter):
the_ccs = ccs
else:
the_ccs = img.cc_analysis()
median_cc = int(median([cc.nrows for cc in the_ccs]))
autogroup = ClassifyCCs(cknn)
autogroup.parts_to_group = 3
autogroup.grouping_distance = max([2, median_cc / 8])
p = Page(img, classify_ccs=autogroup)
if opt.verbosity > 0:
print "autogrouping glyphs activated."
print "maximal autogroup distance:", autogroup.grouping_distance
else:
p = Page(img)
if opt.verbosity > 0:
print "start page segmentation..."
t = time.time()
p.segment()
if opt.verbosity > 0:
t = time.time() - t
print "\t segmentation done [", t, "sec]"
