tf (Python)¶

exception Exception¶

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"

exception ConnectivityException¶: subclass of Exception. Raised when that the fixed_frame tree is not connected between the frames requested.

exception LookupException¶: subclass of Exception. Raised when a tf method has attempted to access a frame, but the frame is not in the graph. The most common reason for this is that the frame is not being published, or a parent frame was not set correctly causing the tree to be broken.

exception ExtrapolationException¶: subclass of Exception Raised when a tf method would have required extrapolation beyond current limits.

Transformer¶

class tf.Transformer(interpolating, cache_time = rospy.Duration(10))¶

Parameters:	interpolating – Whether to interpolate transformations. cache_time – how long tf should retain transformation information in the past.

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             float
These 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¶

Parameters: 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.

TransformerROS¶

class tf.TransformerROS¶

TransformerROS extends the base class tf.Transformer, adding methods for handling ROS messages.

asMatrix(target_frame, hdr)¶

Parameters:	target_frame – the tf target frame, a string hdr – a message header
Returns:	a `numpy.matrix` 4x4 representation of the transform
Raises :	any of the exceptions that `lookupTransform()` can raise

Uses lookupTransform() to look up the transform for ROS message header hdr to frame target_frame, and returns the transform as a numpy.matrix 4x4.

fromTranslationRotation(translation, rotation)¶

Parameters:	translation – translation expressed as a tuple (x,y,z) rotation – rotation quaternion expressed as a tuple (x,y,z,w)
Returns:	a `numpy.matrix` 4x4 representation of the transform
Raises :	any of the exceptions that `lookupTransform()` can raise

Converts a transformation from tf.Transformer into a representation as a 4x4 matrix.

transformPoint(target_frame, ps)¶

Parameters:	target_frame – the tf target frame, a string ps – the geometry_msgs.msg.PointStamped message
Returns:	new geometry_msgs.msg.PointStamped message, in frame target_frame
Raises :	any of the exceptions that `lookupTransform()` can raise

Transforms a geometry_msgs PointStamped message to frame target_frame, returns a new PointStamped message.

transformPointCloud(target_frame, point_cloud)¶

Parameters:	target_frame – the tf target frame, a string ps – the sensor_msgs.msg.PointCloud message
Returns:	new sensor_msgs.msg.PointCloud message, in frame target_frame
Raises :	any of the exceptions that `lookupTransform()` can raise

Transforms a geometry_msgs PoseStamped message to frame target_frame, returns a new PoseStamped message.

transformPose(target_frame, ps)¶

Parameters:	target_frame – the tf target frame, a string ps – the geometry_msgs.msg.PoseStamped message
Returns:	new geometry_msgs.msg.PoseStamped message, in frame target_frame
Raises :	any of the exceptions that `lookupTransform()` can raise

Transforms a geometry_msgs PoseStamped message to frame target_frame, returns a new PoseStamped message.

transformQuaternion(target_frame, ps)¶

Parameters:	target_frame – the tf target frame, a string ps – the geometry_msgs.msg.QuaternionStamped message
Returns:	new geometry_msgs.msg.QuaternionStamped message, in frame target_frame
Raises :	any of the exceptions that `lookupTransform()` can raise

Transforms a geometry_msgs QuaternionStamped message to frame target_frame, returns a new QuaternionStamped message.

transformVector3(target_frame, v3s)¶

Parameters:	target_frame – the tf target frame, a string v3s – the geometry_msgs.msg.Vector3Stamped message
Returns:	new geometry_msgs.msg.Vector3Stamped message, in frame target_frame
Raises :	any of the exceptions that `lookupTransform()` can raise

Transforms a geometry_msgs Vector3Stamped message to frame target_frame, returns a new Vector3Stamped message.

TransformListener¶

class tf.TransformListener(*args)¶

TransformListener is a subclass of tf.TransformerROS that subscribes to the "/tf" message topic, and calls tf.Transformer.setTransform() with each incoming transformation message.

In this way a TransformListener object automatically stays up to to date with all current transforms. Typical usage might be:

import tf
from geometry_msgs.msg import PointStamped

class MyNode:

    def __init__(self):

        self.tl = tf.TransformListener()
        rospy.Subscriber("/sometopic", PointStamped, self.some_message_handler)
        ...
    
    def some_message_handler(self, point_stamped):

        # want to work on the point in the "world" frame
        point_in_world = self.tl.transformPoint("world", point_stamped)
        ...

TransformBroadcaster¶

class tf.TransformBroadcaster¶

TransformBroadcaster is a convenient way to send transformation updates on the "/tf" message topic.

sendTransform(translation, rotation, time, child, parent)¶

Parameters:	translation – the translation of the transformtion as a tuple (x, y, z) rotation – the rotation of the transformation as a tuple (x, y, z, w) time – the time of the transformation, as a rospy.Time() child – child frame in tf, string parent – parent frame in tf, string

Broadcast the transformation from tf frame child to parent on ROS topic "/tf".

tf (Python)¶

Transformer¶

TransformerROS¶

TransformListener¶

TransformBroadcaster¶

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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`

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`

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