RDaneelOlivav

"""Launch P2D NDT mapper."""

from ament_index_python import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node

import os

RDaneelOlivav

# params/lanelet2_map_publisher.param.yaml
---

/**:
   ros__parameters:
     map_osm_file: "/home/ubuntu/dev_ws/src/simple_2.osm"
     # The earth-map transform is given by the point cloud map, but when the osm file is projected
     # into the map frame, they might not match exactly. These parameters allow specifying a small
     # correction to the position of the map frame origin for the purpose of this projection. 
     # Added as part of issue #847. The values are in degrees.

RDaneelOlivav

from ament_index_python import get_package_share_directory
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.actions import IncludeLaunchDescription
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.conditions import IfCondition
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node

import os

RDaneelOlivav

from ament_index_python import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.actions import IncludeLaunchDescription
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node

import os

RDaneelOlivav

<?xml version="1.0" encoding="UTF-8"?>
<osm version="0.6" generator="VMB">
  <MetaInfo format_version="1" map_version="2"/>
  <node id="1" lat="55.93537665507091" lon="91.39912235773816" version="1">
    <tag k="mgrs_code" v="46UDH0-1000"/>
    <tag k="local_x" v="-4.9385"/>
    <tag k="local_y" v="44.7099"/>
    <tag k="ele" v="-0.1885"/>
  </node>
  <node id="2" lat="55.934627115703044" lon="91.39911938300014" version="1">

RDaneelOlivav

source1:
  type: RosKinect
  module: 'object_recognition_ros.io'
  parameters:
    rgb_frame_id: '/head_camera_rgb_optical_frame'
    rgb_image_topic: '/head_camera/rgb/image_raw'
    rgb_camera_info: '/head_camera/rgb/camera_info'
    depth_image_topic: '/head_camera/depth_registered/image_raw'
    depth_camera_info: '/head_camera/depth_registered/camera_info'
    #

RDaneelOlivav

#!/usr/bin/env python
import sys
import rospy
import math
import tf
import geometry_msgs.msg

if __name__ == '__main__':
    rospy.init_node('tf_listener_turtle')

RDaneelOlivav

#! /usr/bin/env python
import rospy
import time
import tf
from turtle_tf_3d.get_model_gazebo_pose import GazeboModel


def handle_turtle_pose(pose_msg, robot_name):
    br = tf.TransformBroadcaster()

RDaneelOlivav

[Colors]
(  254,  3,   3) 0.000000 10 RedBall

[Thresholds]
( 29:81, 85:111, 178:253 ) 

RDaneelOlivav

<launch>
  
  <arg name="rgb_raw_image_topic" default="/mira/mira/camera1/image_raw"/>
  <arg name="color_file_path" default="$(find my_blob_tracking_pkg)/color_files/colors.txt"/>
  
  <!-- Location of the cmvision color file -->
  <param name="cmvision/color_file" type="string" 
         value="$(arg color_file_path)" />

  <!-- Turn debug output on or off -->