def feature_params(self, ch_name):
fgroups = defaultdict(dict)
for group, features in FEATURE_MAP.iteritems():
if self.settings.get(SECTION_NAME_FEATURE_EXTRACTION,
self._resolve_name(ch_name, group)):
for feature, params in features.iteritems():
if params is not None:
for pname, value in params.iteritems():
# special case, same parameters for haralick features
if feature.startswith("haralick"):
option = "%s_%s" %(self._resolve_name(ch_name, pname), "haralick")
else:
option = "%s_%s" %(self._resolve_name(ch_name, pname), feature)
option = self.settings("FeatureExtraction", option)
if isinstance(value, (list, tuple)) and \
isinstance(option, basestring):
fgroups[feature][pname] = eval(option)
else:
fgroups[feature][pname] = option
else:
fgroups[feature] = params # = None
return fgroups
def feature_params(self, ch_name):
# XXX unify list and dict
f_categories = list()
f_cat_params = dict()
# unfortunateley some classes expect empty list and dict
if not self.settings.get(SECTION_NAME_PROCESSING,
self._resolve_name(ch_name,
'featureextraction')):
return f_categories, f_cat_params
for category, feature in FEATURE_MAP.iteritems():
if self.settings.get(SECTION_NAME_FEATURE_EXTRACTION,
self._resolve_name(ch_name, category)):
f_categories += feature
if category in DEFAULT_FEATURE_PARAMS:
f_cat_params[category] = {}
for option in DEFAULT_FEATURE_PARAMS[category]:
option_key = self._resolve_name(ch_name, '%s_%s' % (option, category.split('_')[-1]))
f_cat_params[category][option] = DEFAULT_FEATURE_PARAMS[category][option]
if self.settings.has_option(SECTION_NAME_FEATURE_EXTRACTION, option_key):
str_opt = self.settings.get(SECTION_NAME_FEATURE_EXTRACTION, option_key)
default_type = type(DEFAULT_FEATURE_PARAMS[category][option])
if type(str_opt) != types.StringType:
f_cat_params[category][option] = str_opt
elif len(str_opt) > 0:
if default_type is types.StringType :
# in this case the default type is a string.
f_cat_params[category][option] = str_opt
else:
f_cat_params[category][option] = eval(str_opt) #tuple([int(x) for x in str_opt.split(',')])
found_type = type(f_cat_params[category][option])
if found_type != default_type:
if default_type in [types.ListType, types.TupleType]:
f_cat_params[category][option] = [f_cat_params[category][option]]
#print 'f_categories'
#print f_categories
#print 'f_cat_params'
#print f_cat_params
return f_categories, f_cat_params
def feature_params(self, ch_name):
# XXX unify list and dict
f_categories = list()
f_cat_params = dict()
# unfortunateley some classes expect empty list and dict
if not self.settings.get(
SECTION_NAME_PROCESSING,
self._resolve_name(ch_name, 'featureextraction')):
return f_categories, f_cat_params
for category, feature in FEATURE_MAP.iteritems():
if self.settings.get(SECTION_NAME_FEATURE_EXTRACTION,
self._resolve_name(ch_name, category)):
f_categories += feature
if category in DEFAULT_FEATURE_PARAMS:
f_cat_params[category] = {}
for option in DEFAULT_FEATURE_PARAMS[category]:
option_key = self._resolve_name(
ch_name,
'%s_%s' % (option, category.split('_')[-1]))
f_cat_params[category][
option] = DEFAULT_FEATURE_PARAMS[category][option]
if self.settings.has_option(
SECTION_NAME_FEATURE_EXTRACTION, option_key):
str_opt = self.settings.get(
SECTION_NAME_FEATURE_EXTRACTION, option_key)
default_type = type(
DEFAULT_FEATURE_PARAMS[category][option])
if type(str_opt) != types.StringType:
f_cat_params[category][option] = str_opt
elif len(str_opt) > 0:
if default_type is types.StringType:
# in this case the default type is a string.
f_cat_params[category][option] = str_opt
else:
f_cat_params[category][option] = eval(
str_opt
) #tuple([int(x) for x in str_opt.split(',')])
found_type = type(f_cat_params[category][option])
if found_type != default_type:
if default_type in [
types.ListType, types.TupleType
]:
f_cat_params[category][option] = [
f_cat_params[category][option]
]
#print 'f_categories'
#print f_categories
#print 'f_cat_params'
#print f_cat_params
return f_categories, f_cat_params