How to use transform_out method in pandera

Best Python code snippet using pandera_python

twist_frame_integrator.py

Source:twist_frame_integrator.py Github

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1#!/usr/bin/env python2import roslib; roslib.load_manifest('lcsr_tf_tools')3import rospy4import tf5import geometry_msgs.msg as geometry_msgs6import threading7import math8import PyKDL9import copy10def multiply_quat(q0,q1):11 [x0,y0,z0,w0] = q012 [x1,y1,z1,w1] = q113 return ( (w0*x1 + x0*w1 + y0*z1 - z0*y1),14 (w0*y1 - x0*z1 + y0*w1 + z0*x1),15 (w0*z1 + x0*y1 - y0*x1 + z0*w1),16 (w0*w1 - x0*x1 - y0*y1 - z0*z1) )17class TwistFrameIntegrator(object):18 def __init__(self):19 # Get the node params20 self.linear_multiplier = rospy.get_param('~linear_multiplier')21 self.angular_multiplier = rospy.get_param('~angular_multiplier')22 self.broadcast_rate = rospy.get_param('~broadcast_rate')23 self.body_fixed = rospy.get_param('~body_fixed')24 # Initialize the frame we're going to publish25 xyzw = [float(f) for f in rospy.get_param('~xyzw','0 0 0 1').split()]26 xyzw_offset = [float(f) for f in rospy.get_param('~xyzw_offset','0 0 0 1').split()]27 xyz = [float(f) for f in rospy.get_param('~xyz','0 0 0').split()]28 rospy.logwarn("xyzw: " + str(xyzw))29 rospy.logwarn("xyz: " + str(xyz))30 self.transform = PyKDL.Frame(31 PyKDL.Rotation.Quaternion(*xyzw)*PyKDL.Rotation.Quaternion(*xyzw_offset),32 PyKDL.Vector(*xyz))33 self.transform_out = PyKDL.Frame()34 self.rotation = self.transform.M.GetQuaternion()35 self.time = rospy.Time.now()36 self.frame_id = rospy.get_param('~frame_id')37 self.child_frame_id = rospy.get_param('~child_frame_id')38 # Synchronization39 self.broadcast_lock = threading.Lock()40 # Initialze TF structures41 self.broadcaster = tf.TransformBroadcaster()42 # Subscribe to twist inputs43 self.twist_sub = rospy.Subscriber(44 "twist", geometry_msgs.Twist,45 self.twist_cb)46 self.twiststamped_sub = rospy.Subscriber(47 "twist_stamped", geometry_msgs.TwistStamped,48 self.twiststamped_cb)49 # Broadcast the frame at a given rate50 self.broadcast_thread = threading.Thread(target=self.broadcast_loop)51 self.broadcast_thread.start()52 def broadcast_loop(self):53 """54 Broadcast the integrated TF frame at a fixed rate.55 """56 rate = rospy.Rate(self.broadcast_rate)57 while not rospy.is_shutdown():58 # Acquire broadcast lock59 self.broadcast_lock.acquire()60 # Broadcast the frame61 try:62 self.broadcaster.sendTransform(63 (self.transform_out.p.x(), self.transform_out.p.y(), self.transform_out.p.z()),64 self.transform_out.M.GetQuaternion(),65 rospy.Time.now(),66 self.child_frame_id,67 self.frame_id)68 except Exception as ex:69 rospy.logerr("Failed to broadcast transform: "+str(ex))70 # Release broadcast lock71 self.broadcast_lock.release()72 # Don't spam TF73 rate.sleep()74 def twiststamped_cb(self,msg):75 """76 This callback pulls the twist out of a TwistStamped message. For now,77 it disregards the origin frame.78 """79 twist_cb(msg.twist)80 def twist_cb(self,msg):81 """82 This callback integrates the linear and angular velocities into a TF83 frame, and then broadcasts the frame.84 """85 try:86 # Acquire broadcast lock87 self.broadcast_lock.acquire()88 # Convert angular rotation vector to quaternion89 q_velocity = (90 msg.angular.x * math.sin(self.angular_multiplier/2),91 msg.angular.y * math.sin(self.angular_multiplier/2),92 msg.angular.z * math.sin(self.angular_multiplier/2),93 math.cos(self.angular_multiplier/2))94 q_velocity_norm = math.sqrt(math.pow(q_velocity[0],2) + math.pow(q_velocity[1],2) + math.pow(q_velocity[2],2) + math.pow(q_velocity[3],2))95 q_velocity = [i/q_velocity_norm for i in q_velocity]96 if self.body_fixed:97 # Integrate linear velocity in local frame98 self.transform.p += self.transform.M*(self.linear_multiplier*PyKDL.Vector(msg.linear.x,msg.linear.y,msg.linear.z))99 # Integrate angular velocity in local frame100 self.rotation = multiply_quat(self.rotation,q_velocity)101 self.transform.M = PyKDL.Rotation.Quaternion(*self.rotation)102 103 # Copy this transform104 self.transform_out = PyKDL.Frame(self.transform)105 else:106 # Integrate linear velocity107 self.transform.p += self.linear_multiplier*PyKDL.Vector(msg.linear.x,msg.linear.y,msg.linear.z)108 # Integrate angular velocity109 self.rotation = multiply_quat(q_velocity,self.rotation)110 self.transform.M = PyKDL.Rotation.Quaternion(*self.rotation)111 # Invert the transform to get parent-frame relative transform112 self.transform_out = self.transform113 self.transform_out.M.DoRotZ(-math.pi/2)114 self.transform_out.M.DoRotX(-math.pi/2)115 finally:116 # Release broadcast lock117 self.broadcast_lock.release()118def main():119 rospy.init_node('twist_frame_integrator')120 121 twist_frame_integrator = TwistFrameIntegrator()122 rospy.loginfo("Spinning...")123 rospy.spin()124 rospy.loginfo("Done.")125if __name__ == '__main__':...

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LinkedTransformTest.py

Source:LinkedTransformTest.py Github

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1import unittest2from kivy.event import EventDispatcher3from .LinkedTransform import LinkedTransform4import numpy as np5import cv26from pathlib import Path7class LinkedTransformMock(LinkedTransform):8 def __init__(self, *args, **kwargs):9 self.received = []10 super().__init__(*args, **kwargs)11 def receive_frame(self, frame: np.ndarray):12 self.received.append(frame)13class SimpleObserver(EventDispatcher):14 pass15class LinkedTransformTest(unittest.TestCase):16 @classmethod17 def get_test_image(cls) -> np.ndarray:18 return cv2.imread(str((Path(__file__).parent.parent / Path('resource/test/Archaeologist-Tux-icon.png'))))19 def test_frames_are_passed_through(self):20 transform_in = LinkedTransform()21 transform_out = LinkedTransformMock()22 transform_in.attach_sink(transform_out)23 frame = LinkedTransformTest.get_test_image()24 transform_in.receive_frame(frame)25 self.assertIn(frame, transform_out.received, 'Transform didn\'t passthrough the frame')26 def test_frame_is_being_transformed(self):27 transform_in = LinkedTransform()28 transform_out = LinkedTransformMock()29 transform_in.attach_sink(transform_out)30 frame = LinkedTransformTest.get_test_image()31 transform_in.transform_fn = np.transpose32 transform_in.receive_frame(frame)33 self.assertTrue((frame.T == transform_out.received).all())34 def test_observer_is_being_notified(self):35 transform_in = LinkedTransform()36 transform_out = LinkedTransformMock()37 transform_in.attach_sink(transform_out)38 results = {'received': False, 'processed': False}39 def register_frame_received(*args):40 results['received'] = True41 def register_frame_processed(*args):42 results['processed'] = True43 transform_in.bind(on_frame_received=register_frame_received, on_frame_processed=register_frame_processed)44 frame = LinkedTransformTest.get_test_image()45 transform_in.receive_frame(frame)46 self.assertTrue(results['received'], 'Observer did not receive "on_frame_received" event')...

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PoseAverage.py

Source:PoseAverage.py Github

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1from geometry_msgs.msg import Transform2import tf.transformations as tr3import math4class PoseAverage(object):5 def __init__(self):6 self.translation = [0.0, 0.0, 0.0]7 self.n = 08 self.sum_sines = 09 self.sum_cosines = 010 def add_pose(self, transform_in):11 self.n += 112 translation_in = transform_in.translation13 self.translation = [(self.translation[0]*(self.n - 1) + translation_in.x)/self.n,\14 (self.translation[1]*(self.n - 1) + translation_in.y)/self.n,\15 (self.translation[2]*(self.n - 1) + translation_in.z)/self.n]16 rotation_in = transform_in.rotation17 quaternion = (rotation_in.x, rotation_in.y, rotation_in.z, rotation_in.w)18 theta_in = tr.euler_from_quaternion(quaternion)[2]19 self.sum_sines += math.sin(theta_in)20 self.sum_cosines += math.cos(theta_in)21 def get_average(self):22 if self.n == 0:23 return None24 transform_out = Transform()25 theta_out = math.atan2(self.sum_sines, self.sum_cosines)26 trans = transform_out.translation27 rot = transform_out.rotation28 (trans.x,trans.y,trans.z)=self.translation29 (rot.x,rot.y,rot.z,rot.w)=tr.quaternion_from_euler(0,0,theta_out)...

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