Python tensorflow.lookup() Examples

The following are 10 code examples of tensorflow.lookup(). 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 tensorflow , or try the search function .
Example #1
Source File: tf_example_decoder.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def __init__(self,
               tensor_key,
               table,
               shape_keys=None,
               shape=None,
               default_value=''):
    """Initializes the LookupTensor handler.

    Simply calls a vocabulary (most often, a label mapping) lookup.

    Args:
      tensor_key: the name of the `TFExample` feature to read the tensor from.
      table: A tf.lookup table.
      shape_keys: Optional name or list of names of the TF-Example feature in
        which the tensor shape is stored. If a list, then each corresponds to
        one dimension of the shape.
      shape: Optional output shape of the `Tensor`. If provided, the `Tensor` is
        reshaped accordingly.
      default_value: The value used when the `tensor_key` is not found in a
        particular `TFExample`.

    Raises:
      ValueError: if both `shape_keys` and `shape` are specified.
    """
    self._table = table
    super(LookupTensor, self).__init__(tensor_key, shape_keys, shape,
                                       default_value)
Example #2
Source File: tf_example_decoder.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def tensors_to_item(self, keys_to_tensors):
    unmapped_tensor = super(LookupTensor, self).tensors_to_item(keys_to_tensors)
    return self._table.lookup(unmapped_tensor)
Example #3
Source File: tf_example_decoder.py    From Person-Detection-and-Tracking with MIT License 5 votes vote down vote up 
def __init__(self,
               tensor_key,
               table,
               shape_keys=None,
               shape=None,
               default_value=''):
    """Initializes the LookupTensor handler.

    Simply calls a vocabulary (most often, a label mapping) lookup.

    Args:
      tensor_key: the name of the `TFExample` feature to read the tensor from.
      table: A tf.lookup table.
      shape_keys: Optional name or list of names of the TF-Example feature in
        which the tensor shape is stored. If a list, then each corresponds to
        one dimension of the shape.
      shape: Optional output shape of the `Tensor`. If provided, the `Tensor` is
        reshaped accordingly.
      default_value: The value used when the `tensor_key` is not found in a
        particular `TFExample`.

    Raises:
      ValueError: if both `shape_keys` and `shape` are specified.
    """
    self._table = table
    super(LookupTensor, self).__init__(tensor_key, shape_keys, shape,
                                       default_value)
Example #4
Source File: tf_example_decoder.py    From Person-Detection-and-Tracking with MIT License 5 votes vote down vote up 
def tensors_to_item(self, keys_to_tensors):
    unmapped_tensor = super(LookupTensor, self).tensors_to_item(keys_to_tensors)
    return self._table.lookup(unmapped_tensor)
Example #5
Source File: tf_example_decoder.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def __init__(self,
               tensor_key,
               table,
               shape_keys=None,
               shape=None,
               default_value=''):
    """Initializes the LookupTensor handler.

    Simply calls a vocabulary (most often, a label mapping) lookup.

    Args:
      tensor_key: the name of the `TFExample` feature to read the tensor from.
      table: A tf.lookup table.
      shape_keys: Optional name or list of names of the TF-Example feature in
        which the tensor shape is stored. If a list, then each corresponds to
        one dimension of the shape.
      shape: Optional output shape of the `Tensor`. If provided, the `Tensor` is
        reshaped accordingly.
      default_value: The value used when the `tensor_key` is not found in a
        particular `TFExample`.

    Raises:
      ValueError: if both `shape_keys` and `shape` are specified.
    """
    self._table = table
    super(LookupTensor, self).__init__(tensor_key, shape_keys, shape,
                                       default_value)
Example #6
Source File: tf_example_decoder.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def tensors_to_item(self, keys_to_tensors):
    unmapped_tensor = super(LookupTensor, self).tensors_to_item(keys_to_tensors)
    return self._table.lookup(unmapped_tensor)
Example #7
Source File: tf_example_decoder.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def __init__(self,
               tensor_key,
               table,
               shape_keys=None,
               shape=None,
               default_value=''):
    """Initializes the LookupTensor handler.

    Simply calls a vocabulary (most often, a label mapping) lookup.

    Args:
      tensor_key: the name of the `TFExample` feature to read the tensor from.
      table: A tf.lookup table.
      shape_keys: Optional name or list of names of the TF-Example feature in
        which the tensor shape is stored. If a list, then each corresponds to
        one dimension of the shape.
      shape: Optional output shape of the `Tensor`. If provided, the `Tensor` is
        reshaped accordingly.
      default_value: The value used when the `tensor_key` is not found in a
        particular `TFExample`.

    Raises:
      ValueError: if both `shape_keys` and `shape` are specified.
    """
    self._table = table
    super(LookupTensor, self).__init__(tensor_key, shape_keys, shape,
                                       default_value)
Example #8
Source File: tf_example_decoder.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def tensors_to_item(self, keys_to_tensors):
    unmapped_tensor = super(LookupTensor, self).tensors_to_item(keys_to_tensors)
    return self._table.lookup(unmapped_tensor)
Example #9
Source File: tf_example_decoder.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 5 votes vote down vote up 
def __init__(self,
               tensor_key,
               table,
               shape_keys=None,
               shape=None,
               default_value=''):
    """Initializes the LookupTensor handler.

    Simply calls a vocabulary (most often, a label mapping) lookup.

    Args:
      tensor_key: the name of the `TFExample` feature to read the tensor from.
      table: A tf.lookup table.
      shape_keys: Optional name or list of names of the TF-Example feature in
        which the tensor shape is stored. If a list, then each corresponds to
        one dimension of the shape.
      shape: Optional output shape of the `Tensor`. If provided, the `Tensor` is
        reshaped accordingly.
      default_value: The value used when the `tensor_key` is not found in a
        particular `TFExample`.

    Raises:
      ValueError: if both `shape_keys` and `shape` are specified.
    """
    self._table = table
    super(LookupTensor, self).__init__(tensor_key, shape_keys, shape,
                                       default_value)
Example #10
Source File: tf_example_decoder.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 5 votes vote down vote up 
def tensors_to_item(self, keys_to_tensors):
    unmapped_tensor = super(LookupTensor, self).tensors_to_item(keys_to_tensors)
    return self._table.lookup(unmapped_tensor)