def test_keep_categories_with_unique_id(self):
label_map_proto = string_int_label_map_pb2.StringIntLabelMap()
label_map_string = """
item {
id:2
name:'cat'
}
item {
id:1
name:'child'
}
item {
id:1
name:'person'
}
item {
id:1
name:'n00007846'
}
"""
text_format.Merge(label_map_string, label_map_proto)
categories = label_map_util.convert_label_map_to_categories(
label_map_proto, max_num_classes=3)
self.assertListEqual([{
'id': 2,
'name': u'cat'
}, {
'id': 1,
'name': u'child'
}], categories)
def _generate_label_map(num_classes):
label_map_proto = string_int_label_map_pb2.StringIntLabelMap()
for i in range(1, num_classes + 1):
item = label_map_proto.item.add()
item.id = i
item.name = 'label_' + str(i)
item.display_name = str(i)
return label_map_proto
def load_labelmap(path):
"""Loads label map proto.
Args:
path: path to StringIntLabelMap proto text file.
Returns:
a StringIntLabelMapProto
"""
with tf.gfile.GFile(path, 'r') as fid:
label_map_string = fid.read()
label_map = string_int_label_map_pb2.StringIntLabelMap()
try:
text_format.Merge(label_map_string, label_map)
except text_format.ParseError:
label_map.ParseFromString(label_map_string)
_validate_label_map(label_map)
return label_map
def _load_labelmap(labelmap_path):
"""Loads labelmap from the labelmap path.
Args:
labelmap_path: Path to the labelmap.
Returns:
A dictionary mapping class name to class numerical id.
"""
label_map = string_int_label_map_pb2.StringIntLabelMap()
with open(labelmap_path, 'r') as fid:
label_map_string = fid.read()
text_format.Merge(label_map_string, label_map)
labelmap_dict = {}
for item in label_map.item:
labelmap_dict[item.name] = item.id
return labelmap_dict