def ccs_overall(self):
""" Segment image in inside/outside staves,text,dynamics and return the
ccs for each of these segments as a dict:
return {
'all'
'outside'
'inside'
'text'
'classified'
}
"""
ret = {}
if self._ccs is None:
baseimg = self.without_staves()
ccs = set(baseimg.cc_analysis())
stavey = self.ms().get_staffpos()
if stavey is None:
raise NoStavesException,"No stafflines, no need for anything here. Abort"
cond = inout_staff_condition(self.ms().get_staffpos())
ret["all"] = ccs
ret["outside"] = [ c for c in ccs if not cond(c)]
ret["inside"] = [ c for c in ccs if cond(c)]
assert (len(ret['outside'])+len(ret["inside"]) == len(ccs))
ret["text"] = self._text().possible_text_ccs(image=self.without_insidestaves_info(),ccs=ret["outside"])
self._ccs = ret
else:
self.l.debug("Cached")
ret = self._ccs
if not "classified" in ret and not self.classifier is None:
ret["classified"] = self._classified_ccs(ccs_remove(ret['outside'],ret['text']))
self._ccs = ret
return ret
def _rembase(staffpos, image):
if isinstance(image, gamera.core.Image):
ccs = image.cc_analysis()
else:
ccs = image
cond = inout_staff_condition(staffpos)
return ccs, cond
def _rembase(staffpos,image):
if isinstance(image,gamera.core.Image):
ccs = image.cc_analysis()
else:
ccs = image
cond = inout_staff_condition(staffpos)
return ccs,cond
def ccs_overall(self):
""" Segment image in inside/outside staves,text,dynamics and return the
ccs for each of these segments as a dict:
return {
'all'
'outside'
'inside'
'text'
'classified'
}
"""
ret = {}
if self._ccs is None:
baseimg = self.without_staves()
ccs = set(baseimg.cc_analysis())
stavey = self.ms().get_staffpos()
if stavey is None:
raise NoStavesException, "No stafflines, no need for anything here. Abort"
cond = inout_staff_condition(self.ms().get_staffpos())
ret["all"] = ccs
ret["outside"] = [c for c in ccs if not cond(c)]
ret["inside"] = [c for c in ccs if cond(c)]
assert (len(ret['outside']) + len(ret["inside"]) == len(ccs))
ret["text"] = self._text().possible_text_ccs(
image=self.without_insidestaves_info(), ccs=ret["outside"])
self._ccs = ret
else:
self.l.debug("Cached")
ret = self._ccs
if not "classified" in ret and not self.classifier is None:
ret["classified"] = self._classified_ccs(
ccs_remove(ret['outside'], ret['text']))
self._ccs = ret
return ret
from sheetmusic import MusicImage
from within import inout_staff_condition
import os.path
if os.path.isfile("lvbp0.tif"):
mi = MusicImage("lvbp0.tif")
rgb = mi.to_rgb().to_onebit().to_rgb()
# Painting inside staff things green
cond = inout_staff_condition(mi.ms().get_staffpos())
ccs = [ c for c in mi.ccs(False,False) if cond(c)]
for c in ccs:
rgb.highlight(c,RGBPixel(0,255,0))
# Painting relevant ccs' red.
ccs = mi.ccs()
for c in ccs:
rgb.highlight(c,RGBPixel(255,0,0))
# Painting text yellow
ccs = mi.possible_text_ccs()
for c in ccs:
rgb.highlight(c,RGBPixel(255,255,0))
rgb.save_PNG("lvbp0_relevant_ccs.png")
mi = MusicImage("debussyp0.tif")
rgb = mi.to_rgb().to_onebit().to_rgb()
cond = inout_staff_condition(mi.ms().get_staffpos())
ccs = [ c for c in mi.ccs(False,False) if cond(c)]
for c in ccs:
rgb.highlight(c,RGBPixel(0,255,0))
ccs = mi.ccs()
for c in ccs:
rgb.highlight(c,RGBPixel(255,0,0))
from sheetmusic import MusicImage
from within import inout_staff_condition
import os.path
if os.path.isfile("lvbp0.tif"):
mi = MusicImage("lvbp0.tif")
rgb = mi.to_rgb().to_onebit().to_rgb()
# Painting inside staff things green
cond = inout_staff_condition(mi.ms().get_staffpos())
ccs = [c for c in mi.ccs(False, False) if cond(c)]
for c in ccs:
rgb.highlight(c, RGBPixel(0, 255, 0))
# Painting relevant ccs' red.
ccs = mi.ccs()
for c in ccs:
rgb.highlight(c, RGBPixel(255, 0, 0))
# Painting text yellow
ccs = mi.possible_text_ccs()
for c in ccs:
rgb.highlight(c, RGBPixel(255, 255, 0))
rgb.save_PNG("lvbp0_relevant_ccs.png")
mi = MusicImage("debussyp0.tif")
rgb = mi.to_rgb().to_onebit().to_rgb()
cond = inout_staff_condition(mi.ms().get_staffpos())
ccs = [c for c in mi.ccs(False, False) if cond(c)]
for c in ccs:
rgb.highlight(c, RGBPixel(0, 255, 0))
ccs = mi.ccs()
for c in ccs:
rgb.highlight(c, RGBPixel(255, 0, 0))
