本文整理匯總了Python中object_detection.protos.string_int_label_map_pb2.StringIntLabelMap方法的典型用法代碼示例。如果您正苦於以下問題：Python string_int_label_map_pb2.StringIntLabelMap方法的具體用法？Python string_int_label_map_pb2.StringIntLabelMap怎麽用？Python string_int_label_map_pb2.StringIntLabelMap使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類object_detection.protos.string_int_label_map_pb2的用法示例。
在下文中一共展示了string_int_label_map_pb2.StringIntLabelMap方法的9個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: load_labelmap
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
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 示例2: load_labelmap
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
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)
return label_map 示例3: _load_labelmap
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
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 示例4: _load_labelmap
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
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
A list with dictionaries, one dictionary per category.
"""
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 = {}
categories = []
for item in label_map.item:
labelmap_dict[item.name] = item.id
categories.append({'id': item.id, 'name': item.name})
return labelmap_dict, categories 示例5: create_categories_from_labelmap
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
def create_categories_from_labelmap(label_map_path, use_display_name=True):
"""Reads a label map and returns categories list compatible with eval.
This function converts label map proto and returns a list of dicts, each of
which has the following keys:
'id': an integer id uniquely identifying this category.
'name': string representing category name e.g., 'cat', 'dog'.
Args:
label_map_path: Path to `StringIntLabelMap` proto text file.
use_display_name: (boolean) choose whether to load 'display_name' field
as category name. If False or if the display_name field does not exist,
uses 'name' field as category names instead.
Returns:
categories: a list of dictionaries representing all possible categories.
"""
label_map = load_labelmap(label_map_path)
max_num_classes = max(item.id for item in label_map.item)
return convert_label_map_to_categories(label_map, max_num_classes,
use_display_name) 示例6: create_category_index_from_labelmap
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
def create_category_index_from_labelmap(label_map_path, use_display_name=True):
"""Reads a label map and returns a category index.
Args:
label_map_path: Path to `StringIntLabelMap` proto text file.
use_display_name: (boolean) choose whether to load 'display_name' field
as category name. If False or if the display_name field does not exist,
uses 'name' field as category names instead.
Returns:
A category index, which is a dictionary that maps integer ids to dicts
containing categories, e.g.
{1: {'id': 1, 'name': 'dog'}, 2: {'id': 2, 'name': 'cat'}, ...}
"""
categories = create_categories_from_labelmap(label_map_path, use_display_name)
return create_category_index(categories) 示例7: _generate_label_map
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
def _generate_label_map(self, 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 示例8: _validate_label_map
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
def _validate_label_map(label_map):
"""Checks if a label map is valid.
Args:
label_map: StringIntLabelMap to validate.
Raises:
ValueError: if label map is invalid.
"""
for item in label_map.item:
if item.id < 1:
raise ValueError('Label map ids should be >= 1.') 示例9: test_keep_categories_with_unique_id
# 需要導入模塊: from object_detection.protos import string_int_label_map_pb2 [as 別名]
# 或者: from object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap [as 別名]
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)