def fextract(self):
"""Extract features"""
self.load_char_dicts()
for dirname, char_dict in (("eval", self.eval_char_dict),
("train", self.train_char_dict)):
for char_code, char_list in char_dict.items():
output_dir = os.path.join(self.FEATURES_ROOT, dirname)
if not os.path.exists(output_dir):
os.makedirs(output_dir)
sequence_set = []
for character in char_list:
writing = character.get_writing()
char_features = self.get_feature_vectors(writing)
sequence_set.append(char_features)
output_file = os.path.join(output_dir,
str(char_code) + ".sset")
self.print_verbose(output_file + " (%d chars)" % \
len(sequence_set))
sset = SequenceSet(sequence_set)
sset.write(output_file)
def fextract(self):
"""Extract features"""
self.load_char_dicts()
for dirname, char_dict in (("eval", self.eval_char_dict),
("train", self.train_char_dict)):
for char_code, char_list in char_dict.items():
output_dir = os.path.join(self.FEATURES_ROOT, dirname)
if not os.path.exists(output_dir):
os.makedirs(output_dir)
sequence_set = []
for character in char_list:
writing = character.get_writing()
char_features = self.get_feature_vectors(writing)
sequence_set.append(char_features)
output_file = os.path.join(output_dir,
str(char_code) + ".sset")
self.print_verbose(output_file + " (%d chars)" % \
len(sequence_set))
sset = SequenceSet(sequence_set)
sset.write(output_file)
def get_sequence_set(self, file_path):
return SequenceSet.from_file(file_path)
def get_sequence_set(self, file_path):
return SequenceSet.from_file(file_path)