import sys
import re
import yaml
sys.path.append("..")
from sheetmusic import MusicImage
if __name__ == '__main__':
FORMAT = "%(asctime)-15s %(levelname)s [%(name)s.%(funcName)s] %(message)s"
logging.basicConfig(level=logging.DEBUG,format=FORMAT,filename="counter.log")
init_gamera()
for imgname in sys.argv[1:]:
m = re.match(r"^(.*)\.[^\.]+$",imgname)
noend = m.group(1)
mi = MusicImage(imgname,training_filename="../preomr_edited_cnn.xml")
c = mi.ccs_overall()
cl = dict([ (k,len(v)) for k,v in c.iteritems() ])
outf = "%s-colorseg.yaml"%noend
with open(outf,"w") as f:
data = {'text':{'found':cl['text'],'count':cl['text']},
'dynamics':{'found':cl['classified'], 'count':cl['classified']
}
}
print "%s"%data
yaml.dump(data,f)
logging.debug("Wrote %s",outf)
import yaml
sys.path.append("..")
from sheetmusic import MusicImage
if __name__ == '__main__':
FORMAT = "%(asctime)-15s %(levelname)s [%(name)s.%(funcName)s] %(message)s"
logging.basicConfig(level=logging.DEBUG,
format=FORMAT,
filename="counter.log")
init_gamera()
for imgname in sys.argv[1:]:
m = re.match(r"^(.*)\.[^\.]+$", imgname)
noend = m.group(1)
mi = MusicImage(imgname, training_filename="../preomr_edited_cnn.xml")
c = mi.ccs_overall()
cl = dict([(k, len(v)) for k, v in c.iteritems()])
outf = "%s-colorseg.yaml" % noend
with open(outf, "w") as f:
data = {
'text': {
'found': cl['text'],
'count': cl['text']
},
'dynamics': {
'found': cl['classified'],
'count': cl['classified']
}
}
print "%s" % data
yaml.dump(data, f)
