base class for tf exceptions. Because tf.Exception is the base class for other exceptions, you can catch all tf exceptions by writing:
try:
# do some tf work
except tf.Exception:
print "some tf exception happened"
Parameters: |
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The Transformer object is the core of tf. It maintains a time-varying graph of transforms, and permits asynchronous graph modification and queries:
>>> import rospy
>>> import tf
>>> import geometry_msgs.msg
>>> t = tf.Transformer(True, rospy.Duration(10.0))
>>> t.getFrameStrings()
[]
>>> m = geometry_msgs.msg.TransformStamped()
>>> m.header.frame_id = 'THISFRAME'
>>> m.child_frame_id = 'CHILD'
>>> m.transform.translation.x = 2.71828183
>>> m.transform.rotation.w = 1.0
>>> t.setTransform(m)
>>> t.getFrameStrings()
['/CHILD', '/THISFRAME']
>>> t.lookupTransform('THISFRAME', 'CHILD', rospy.Time(0))
((2.71828183, 0.0, 0.0), (0.0, 0.0, 0.0, 1.0))
>>> t.lookupTransform('CHILD', 'THISFRAME', rospy.Time(0))
((-2.71828183, 0.0, 0.0), (0.0, 0.0, 0.0, 1.0))
The transformer refers to frames using strings, and represents transformations using translation (x, y, z) and quaternions (x, y, z, w) expressed as Python a tuple. Transformer also does not mandate any particular linear algebra library. Transformer does not handle ROS messages directly; the only ROS type it uses is rospy.Time().
To use tf with ROS messages, see TransformerROS and TransformListener.
- allFramesAsDot() → string¶
- Returns a string representing all frames, intended for use with Graphviz.
- allFramesAsString() → string¶
- Returns a human-readable string representing all frames
- setTransform(transform, authority = "")¶
Parameters:
- transform – transform object, see below
- authority – string giving authority for this transformation.
Adds a new transform to the Transformer graph. transform is an object with the following structure:
header stamp time stamp, rospy.Time frame_id string, parent frame child_frame_id string, child frame transform translation x float y float z float rotation x float y float z float w floatThese members exactly match those of a ROS TransformStamped message.
- waitForTransform(target_frame, source_frame, time, timeout, polling_sleep_duration = rospy.Duration(0.01))¶
Parameters:
- target_frame – transformation target frame in tf, string
- source_frame – transformation source frame in tf, string
- time – time of the transformation, use rospy.Time() to indicate present time.
- timeout – how long this call should block while waiting for the transform, as a rospy.Duration
Raises: tf.Exception
Waits for the given transformation to become available. If the timeout occurs before the transformation becomes available, raises tf.Exception.
- waitForTransformFull(target_frame, target_time, source_frame, source_time, fixed_frame)¶
Parameters:
- target_frame – transformation target frame in tf, string
- target_time – time of transformation in target_frame, a rospy.Time
- source_frame – transformation source frame in tf, string
- source_time – time of transformation in target_frame, a rospy.Time
- fixed_frame – reference frame common to both target_frame and source_frame.
- timeout – how long this call should block while waiting for the transform, as a rospy.Duration
Raises: tf.Exception
Extended version of waitForTransform().
- canTransform(target_frame, source_frame, time) → bool¶
Parameters:
- target_frame – transformation target frame in tf, string
- source_frame – transformation source frame in tf, string
- time – time of the transformation, use rospy.Time() to indicate present time.
Returns True if the Transformer can determine the transform from source_frame to target_frame at time.
- canTransformFull(target_frame, target_time, source_frame, source_time, fixed_frame) → bool¶
- Extended version of canTransform().
- chain(target_frame, target_time, source_frame, source_time, fixed_frame) → list¶
Parameters:
- target_frame – transformation target frame in tf, string
- target_time – time of transformation in target_frame, a rospy.Time
- source_frame – transformation source frame in tf, string
- source_time – time of transformation in target_frame, a rospy.Time
- fixed_frame – reference frame common to both target_frame and source_frame.
Returns: list of tf frames
Raises: tf.ConnectivityException, tf.LookupException
returns the chain of frames connecting source_frame to target_frame.
- clear() → None¶
- Clear all transformations.
- frameExists(frame_id) → Bool¶
Parameter: frame_id – a tf frame, string returns True if frame frame_id exists in the Transformer.
- getFrameStrings -> list
- returns all frame names in the Transformer as a list.
- getLatestCommonTime(source_frame, target_frame) → time¶
Parameters:
- target_frame – transformation target frame in tf, string
- source_frame – transformation source frame in tf, string
Returns: a rospy.Time for the most recent time at which the transform is available
Raises: tf.Exception
Determines the most recent time for which Transformer can compute the transform between the two given frames. Raises tf.Exception if transformation is not possible.
- lookupTransform(target_frame, source_frame, time) -> (position, quaternion)¶
Parameters:
- target_frame – transformation target frame in tf, string
- source_frame – transformation source frame in tf, string
- time – time of the transformation, use rospy.Time() to indicate most recent common time.
Returns: position as a translation (x, y, z) and orientation as a quaternion (x, y, z, w)
Raises: tf.ConnectivityException, tf.LookupException, or tf.ExtrapolationException
Returns the transform from source_frame to target_frame at time. Raises one of the exceptions if the transformation is not possible.
Note that a time of zero means latest common time, so:
t.lookupTransform("a", "b", rospy.Time())is equivalent to:
t.lookupTransform("a", "b", t.getLatestCommonTime("a", "b"))
- lookupTransformFull(target_frame, target_time, source_frame, source_time, fixed_frame) → position, quaternion¶
Parameters:
- target_frame – transformation target frame in tf, string
- target_time – time of transformation in target_frame, a rospy.Time
- source_frame – transformation source frame in tf, string
- source_time – time of transformation in target_frame, a rospy.Time
- fixed_frame – reference frame common to both target_frame and source_frame.
Raises: tf.ConnectivityException, tf.LookupException, or tf.ExtrapolationException
Extended version of lookupTransform().
- lookupTwist(tracking_frame, observation_frame, time, averaging_interval) → linear, angular¶
Parameters:
- tracking_frame (str) – The frame to track
- observation_frame (str) – The frame from which to measure the twist
- time (rospy.Time) – The time at which to get the velocity
- duration (rospy.Duration) – The period over which to average
Returns: a tuple with linear velocity as (x, y, z) and angular velocity as (x, y, z)
Raises: tf.ConnectivityException, tf.LookupException, or tf.ExtrapolationException
Simplified version of tf.lookupTwistFull().
Return the linear and angular velocity of the moving_frame in the reference_frame. tf considers time - duration / 2 to time + duration / 2 as the initial interval, and will shift by up to duration / 2 to avoid no data.
New in version 1.1.
- lookupTwistFull(tracking_frame, observation_frame, reference_frame, reference_point, reference_point_frame, time, averaging_interval) → linear, angular¶
Parameters:
- tracking_frame (str) – The frame to track
- observation_frame (str) – The frame from which to measure the twist
- reference_frame (str) – The reference frame in which to express the twist
- reference_point (x, y, z) – The reference point with which to express the twist
- reference_point_frame (str) – The frame_id in which the reference point is expressed
- time (rospy.Time) – The time at which to get the velocity
- duration (rospy.Duration) – The period over which to average
Returns: a tuple with linear velocity as (x, y, z) and angular velocity as (x, y, z)
Raises: tf.ConnectivityException, tf.LookupException, or tf.ExtrapolationException
Return the linear and angular velocity of the moving_frame in the reference_frame. tf considers time - duration / 2 to time + duration / 2 as the initial interval, and will shift by up to duration / 2 to avoid no data.
New in version 1.1.
- getTFPrefix() → str¶
Returns: the TF Prefix that the transformer is running with Returns the tf_prefix this transformer is running with.