def se2_from_se3(mat): #print 'mat\n', mat, mat.shape t, r = tfu.matrix_as_tf(mat) x = t[0] y = t[1] theta = tr.euler_from_quaternion(r)[2] return x,y,theta
def se2_from_se3(mat): #print 'mat\n', mat, mat.shape t, r = tfu.matrix_as_tf(mat) x = t[0] y = t[1] theta = tr.euler_from_quaternion(r)[2] return x, y, theta
def make_target_marker(self): #, scale=.2, color=stdm.ColorRGBA(.5,.5,.5,.5)): if self.is_current_task_frame: scale = .3 color = stdm.ColorRGBA(1,0,0,.5) else: scale = .2 color = stdm.ColorRGBA(.5,.5,.5,.5) name = 'target_' + self.tagid if not self.tag_database.has_id(self.tagid): return p_ar = self.tag_database.get(self.tagid)['target_location'] m_ar = tfu.tf_as_matrix(p_ar) map_T_ar = tfu.transform('map', self.tagid, self.tf_listener, t=0) p_map = tfu.matrix_as_tf(map_T_ar * m_ar) pose = p_map int_marker = interactive_marker(name, (pose[0], (0,0,0,1)), scale) int_marker.header.frame_id = 'map' #self.tagid int_marker.description = '' int_marker.controls.append(make_sphere_control(name, scale/2.)) int_marker.controls[0].markers[0].color = color int_marker.controls += make_directional_controls(name) self.server_lock.acquire() self.marker_server.insert(int_marker, self.marker_cb) self.server_lock.release() self.target_marker = int_marker if self.menu != None: self._make_menu()
def get_current_pose(self): frame = str(self.frame_box.currentText()) self.tf_listener.waitForTransform(frame, ROBOT_FRAME_NAME, rospy.Time(), rospy.Duration(2.)) p_base = tfu.transform(frame, ROBOT_FRAME_NAME, self.tf_listener) \ * tfu.tf_as_matrix(([0., 0., 0., 1.], tr.quaternion_from_euler(0,0,0))) p_base_tf = tfu.matrix_as_tf(p_base) for value, vr in zip(p_base_tf[0], [self.xline, self.yline, self.zline]): vr.setValue(value) for value, vr in zip(tr.euler_from_quaternion(p_base_tf[1]), [self.phi_line, self.theta_line, self.psi_line]): vr.setValue(np.degrees(value))
def toggle_point(self): if self.has_point: self.server.erase(self.target_marker.name) else: p_ar = self.tag_database.get(self.tagid)['target_location'] m_ar = tfu.tf_as_matrix(p_ar) map_T_ar = tfu.transform('map', self.tagid, self.tf_listener, t=0) p_map = tfu.matrix_as_tf(map_T_ar * m_ar) self.make_target_marker('target_' + self.tagid, p_map) self.server.applyChanges() self.has_point = not self.has_point
def process_feedback(self, feedback): name = feedback.marker_name ar_match = re.search('^ar_', name) target_match = re.search('^target_', name) if ar_match != None and feedback.event_type == ims.InteractiveMarkerFeedback.BUTTON_CLICK: self.toggle_point() if target_match != None and feedback.event_type == ims.InteractiveMarkerFeedback.POSE_UPDATE: m_ar = tfu.tf_as_matrix(pose_to_tup(feedback.pose)) ar_T_map = tfu.transform(self.tagid, 'map', self.tf_listener, t=0) p_ar = tfu.matrix_as_tf(ar_T_map * m_ar) self.tag_database.update_target_location(self.tagid, p_ar)
def learnable_behavior_menu_cb(self, menu_item, full_action_path, int_feedback): clicked_action = full_action_path folder, action_name = pt.split(full_action_path) all_actions = glob.glob(pt.join(folder, '*')) nonmatchings = [] for a in all_actions: if a != clicked_action: nonmatchings.append(a) if len(nonmatchings) > 1: rospy.logerr('Found too many items in %s. There can only be two behaviors.' % folder) return clicked_complement = nonmatchings[0] rospy.loginfo('clicked %s, complement is %s' % (clicked_action, clicked_complement)) p_tll = tfu.tf_as_matrix(HEAD_MARKER_LOC) self.tf_listener.waitForTransform('map', 'torso_lift_link', rospy.Time.now(), rospy.Duration(10)) map_T_tll = tfu.transform('map', 'torso_lift_link', self.tf_listener, t=0) p_map = tfu.matrix_as_tf(map_T_tll * p_tll) #Create two markers actionid = self.action_marker_manager.create_action('map', tagid=None, loc=p_map, name=pt.split(clicked_action)[1]) self.action_marker_manager._action_selection_menu_cb(actionid, menu_item, clicked_action, int_feedback) cactionid = self.action_marker_manager.create_action('map', tagid=None, loc=p_map, name=pt.split(clicked_complement)[1]) self.action_marker_manager._action_selection_menu_cb(cactionid, menu_item, clicked_complement, int_feedback) self.action_marker_manager.marker_db.set_property(actionid, 'complement', cactionid) self.action_marker_manager.marker_db.set_property(cactionid, 'complement', actionid)
def marker_cb(self, feedback): name = feedback.marker_name ar_match = re.search('^ar_', name) target_match = re.search('^target_', name) #if feedback.event_type == ims.InteractiveMarkerFeedback.MOUSE_DOWN: # print name, feedback print 'called', feedback_to_string(feedback.event_type), feedback.marker_name, feedback.control_name if ar_match != None and feedback.event_type == ims.InteractiveMarkerFeedback.MOUSE_DOWN: #print 'lock acq' self.toggle_point() #print 'toggle!' if target_match != None and feedback.event_type == ims.InteractiveMarkerFeedback.POSE_UPDATE: m_ar = tfu.tf_as_matrix(pose_to_tup(feedback.pose)) ar_T_map = tfu.transform(self.tagid, 'map', self.tf_listener, t=0) p_ar = tfu.matrix_as_tf(ar_T_map * m_ar) self.tag_database.update_target_location(self.tagid, p_ar) sphere_match = re.search('_sphere$', feedback.control_name) menu_match = re.search('_menu$', feedback.control_name) if ((sphere_match != None) or (menu_match != None)) and target_match != None and feedback.event_type == ims.InteractiveMarkerFeedback.MOUSE_DOWN: self.frame_selected_cb(self.tagid)
def _to_map_frame(self, p_ar): m_ar = tfu.tf_as_matrix(p_ar) self.tf_listener.waitForTransform('map', self.frame, rospy.Time.now(), rospy.Duration(10)) map_T_ar = tfu.transform('map', self.frame, self.tf_listener, t=0) p_map = tfu.matrix_as_tf(map_T_ar * m_ar) return p_map