Python object_detection.protos.string_int_label_map_pb2.StringIntLabelMap() Examples

The following are 30 code examples of object_detection.protos.string_int_label_map_pb2.StringIntLabelMap(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module object_detection.protos.string_int_label_map_pb2 , or try the search function .
Example #1
Source File: label_map_util.py    From Traffic-Rule-Violation-Detection-System with MIT License 6 votes vote down vote up 
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
Example #2
Source File: label_map_util.py    From BMW-TensorFlow-Inference-API-CPU with Apache License 2.0 6 votes vote down vote up 
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
Example #3
Source File: label_map_util.py    From vehicle_counting_tensorflow with MIT License 6 votes vote down vote up 
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)
Example #4
Source File: oid_od_challenge_evaluation.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 6 votes vote down vote up 
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
Example #5
Source File: label_map_util.py    From vehicle_counting_tensorflow with MIT License 6 votes vote down vote up 
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)
Example #6
Source File: label_map_util.py    From DOTA_models with Apache License 2.0 6 votes vote down vote up 
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
Example #7
Source File: label_map_util.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 6 votes vote down vote up 
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
Example #8
Source File: oid_od_challenge_evaluation.py    From vehicle_counting_tensorflow with MIT License 6 votes vote down vote up 
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
Example #9
Source File: label_map_util.py    From object_detector_app with MIT License 6 votes vote down vote up 
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
Example #10
Source File: oid_vrd_challenge_evaluation.py    From vehicle_counting_tensorflow with MIT License 6 votes vote down vote up 
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
Example #11
Source File: oid_vrd_challenge_evaluation.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 6 votes vote down vote up 
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
Example #12
Source File: label_map_util.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 6 votes vote down vote up 
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
Example #13
Source File: label_map_util.py    From ros_people_object_detection_tensorflow with Apache License 2.0 6 votes vote down vote up 
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
Example #14
Source File: label_map_util.py    From ros_tensorflow with Apache License 2.0 6 votes vote down vote up 
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
Example #15
Source File: label_map_util.py    From moveo_ros with MIT License 6 votes vote down vote up 
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
Example #16
Source File: label_map_util.py    From Hands-On-Machine-Learning-with-OpenCV-4 with MIT License 6 votes vote down vote up 
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
Example #17
Source File: label_map_util.py    From yolo_v2 with Apache License 2.0 6 votes vote down vote up 
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
Example #18
Source File: label_map_util.py    From HereIsWally with MIT License 6 votes vote down vote up 
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
Example #19
Source File: label_map_util.py    From tensorflow with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
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
Example #20
Source File: label_map_util.py    From garbage-object-detection-tensorflow with MIT License 6 votes vote down vote up 
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
Example #21
Source File: label_map_util.py    From Gun-Detector with Apache License 2.0 6 votes vote down vote up 
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
Example #22
Source File: label_map_util.py    From object_centric_VAD with MIT License 6 votes vote down vote up 
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)
Example #23
Source File: label_map_util.py    From object_centric_VAD with MIT License 6 votes vote down vote up 
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)
Example #24
Source File: label_map_util.py    From object_centric_VAD with MIT License 6 votes vote down vote up 
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
Example #25
Source File: label_map_util.py    From Person-Detection-and-Tracking with MIT License 6 votes vote down vote up 
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
Example #26
Source File: oid_vrd_challenge_evaluation.py    From Person-Detection-and-Tracking with MIT License 6 votes vote down vote up 
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
Example #27
Source File: label_map_util_test.py    From Hands-On-Machine-Learning-with-OpenCV-4 with MIT License 5 votes vote down vote up 
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
Example #28
Source File: label_map_util_test.py    From moveo_ros with MIT License 5 votes vote down vote up 
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
Example #29
Source File: label_map_util.py    From tensorflow with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
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.')
Example #30
Source File: label_map_util_test.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
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