rtabmap_demos tests and docs (#1462)

* rtabmap_demos tests and docs

* added bag testing

* added rtabmap_examples launch tests

* updating demo bag download paths

* added netherdrone demo

* Fixed rgb-only callback with lidar rejected.  Updated lidar params

* Added back OrbitOriented rviz view to ros2, with optional octomap wll clipping

* fixing ci

* lidar demo added intermediate_nodes option

* added netherdrone as demo test

* running rtabmap_demos tests on ci

* added rtabmap_launch tests, fixed ground_truth_base_frame_id usage

* ficing rolling

* updating demo test harnest

* densify golden trajectories to avoid tf missing

* fixing tf steps

* updated min icp ratio for netherdrone demo

* fixing image_transport arg->params

* export pose opt=0

* lets process all frames

* updated netherdrone golden

* fixing publishers queue size just for tests

* added playdback demo doc

* Adding more logs to debug ci

* Fixing QOS for CI to reliable, added find-object demo test

* name threads

* fixing camera info expected transient on lyrical/rolling. Fixing find_object not appearing idle

* 30 Hz polling backward comp

* fixing test tf sim lock

* fixing lyrical qos bag parsing

* faster replay

* lockstep

* fixing clock deadlock

* Added test on shutdown

* updated netherdrone golden poses

* Extended stereo outdoor test

* updated shutdown test

* updated test

* multi-thread flaky test

* adding backtrace when test fails

* increased closure slack for netherdrone

* g2o gauss newton on stereo

* adjusted maximum optimizer iterations

* updated default iterations

* Added netherdrone in list of demos
This commit is contained in:
matlabbe
2026-10-10 12:23:49 -07:00
committed by GitHub
parent cb2117f1ed
commit 82f0754bf7
80 changed files with 18405 additions and 98 deletions
@@ -1,7 +1,7 @@
# Requirements:
# find_object_2d package installed
# Download rosbag:
# * demo_find_object.db3: https://drive.google.com/file/d/1web54yQkxeGFr2UwOjKeoajGGDm0fZXT/view?usp=drive_link
# * demo_find_object_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/demo_find_object_bag.zip
#
# Example:
#
@@ -9,7 +9,7 @@
# $ ros2 launch rtabmap_demos find_object_demo.launch.py
#
# Rosbag:
# $ ros2 bag play demo_find_object.db3 --clock
# $ ros2 bag play demo_find_object_bag --clock
#
from launch import LaunchDescription
@@ -38,6 +38,15 @@ def generate_launch_description():
'RGBD/NeighborLinkRefining': 'true', # Do odometry correction with consecutive laser scans
'Reg/Strategy': '1', # 0=Visual, 1=ICP, 2=Visual+ICP
'Reg/Force3DoF': 'true', # 2D SLAM
# The objects find_object_2d detects become landmarks (see find_object_to_landmarks.py,
# which sets their covariance from these, as rtabmap does for its own markers).
# Range and bearing only (GTSAM): the objects' orientation is the least reliable
# part of find_object_2d's estimate. Linear: the range variance (m^2), angular:
# the bearing variance (rad^2).
'Marker/VarianceLinear': '0.001',
'Marker/VarianceAngular': '0.01',
'Marker/VarianceOrientationIgnored': 'true',
'Optimizer/Strategy': '2', # GTSAM
}
remappings=[
@@ -63,6 +72,7 @@ def generate_launch_description():
# Launch arguments
DeclareLaunchArgument('rtabmap_viz', default_value='false', description='Launch RTAB-Map UI (optional).'),
DeclareLaunchArgument('rviz', default_value='true', description='Launch RVIZ (optional).'),
DeclareLaunchArgument('find_object_gui', default_value='true', description='Show the Find-Object window (false: headless).'),
DeclareLaunchArgument('localization', default_value='false', description='Launch in localization mode.'),
DeclareLaunchArgument('rviz_cfg', default_value=config_rviz, description='Configuration path of rviz2.'),
@@ -73,12 +83,16 @@ def generate_launch_description():
# Uncompress images for find_object
Node(
package='image_transport', executable='republish', name='republish_rgb', output='screen',
# The transports: as arguments up to humble, as parameters from jazzy.
arguments=['compressed', 'raw'],
parameters=[{'in_transport': 'compressed', 'out_transport': 'raw'}],
remappings=[('in/compressed', '/camera/data_throttled_image/compressed'),
('out', '/camera/data_throttled_image')]),
Node(
package='image_transport', executable='republish', name='republish_depth', output='screen',
# The transports: as arguments up to humble, as parameters from jazzy.
arguments=['compressedDepth', 'raw'],
parameters=[{'in_transport': 'compressedDepth', 'out_transport': 'raw'}],
remappings=[('in/compressedDepth', '/camera/data_throttled_image_depth/compressedDepth'),
('out', '/camera/data_throttled_image_depth')]),
@@ -119,11 +133,15 @@ def generate_launch_description():
# Find-Object
Node(
package='find_object_2d', executable='find_object_2d', output='screen',
parameters=[{'gui': True,
parameters=[{'gui': LaunchConfiguration('find_object_gui'),
'subscribe_depth': True,
'settings_path': config_find_object,
'objects_path': data_find_object}],
remappings=[('rgb/image_rect_color', '/camera/data_throttled_image'),
('depth_registered/image_raw', '/camera/data_throttled_image_depth'),
('depth_registered/camera_info', '/camera/data_throttled_camera_info')]),
# Its detections as landmarks for rtabmap (landmark_detections)
Node(
package='rtabmap_demos', executable='find_object_to_landmarks.py', output='screen',
parameters=[parameters]),
])
@@ -87,6 +87,10 @@ def generate_launch_description():
'robot_ns', default_value='a200_0000',
description='Robot namespace.'),
DeclareLaunchArgument(
'rtabmap_viz', default_value='true', choices=['true', 'false'],
description='Start rtabmap_viz.'),
# Nodes to launch
Node(
package='rtabmap_sync', executable='rgbd_sync', output='screen',
@@ -121,6 +125,7 @@ def generate_launch_description():
remappings=remappings),
Node(
condition=IfCondition(LaunchConfiguration('rtabmap_viz')),
package='rtabmap_viz', executable='rtabmap_viz', output='screen',
namespace=robot_ns,
parameters=[rtabmap_parameters, shared_parameters,
@@ -100,6 +100,10 @@ def generate_launch_description():
'robot_ns', default_value='a200_0000',
description='Robot namespace.'),
DeclareLaunchArgument(
'rtabmap_viz', default_value='true', choices=['true', 'false'],
description='Start rtabmap_viz.'),
DeclareLaunchArgument(
'use_camera', default_value='true',
description='Use camera for global loop closure / re-localization.'),
@@ -139,6 +143,7 @@ def generate_launch_description():
remappings=remappings),
Node(
condition=IfCondition(LaunchConfiguration('rtabmap_viz')),
package='rtabmap_viz', executable='rtabmap_viz', output='screen',
namespace=robot_ns,
parameters=[rtabmap_parameters, shared_parameters,
@@ -25,6 +25,7 @@
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument
from launch.substitutions import LaunchConfiguration
from launch.conditions import IfCondition
from launch_ros.actions import Node
@@ -97,6 +98,10 @@ def generate_launch_description():
'robot_ns', default_value='a200_0000',
description='Robot namespace.'),
DeclareLaunchArgument(
'rtabmap_viz', default_value='true', choices=['true', 'false'],
description='Start rtabmap_viz.'),
# Nodes to launch
Node(
package='rtabmap_sync', executable='rgbd_sync', output='screen',
@@ -127,6 +132,7 @@ def generate_launch_description():
arguments=['-d']),
Node(
condition=IfCondition(LaunchConfiguration('rtabmap_viz')),
package='rtabmap_viz', executable='rtabmap_viz', output='screen',
namespace=robot_ns,
parameters=[rtabmap_parameters, shared_parameters,
@@ -1,10 +1,10 @@
# Requirements:
# Download one or more rosbags:
# * map1.db3: https://drive.google.com/file/d/1XajzWm0u1Tk7m7x63ybcKVMXj80r5P6r/view?usp=drive_link
# * map2.db3: https://drive.google.com/file/d/1_FxEalE2O-DQKq2tRpLIpDn5Mbvu0jZc/view?usp=drive_link
# * map3.db3: https://drive.google.com/file/d/1dJzMOoRPA28gQZUIWCeAa08Qn4wG9oRw/view?usp=drive_link
# * map4.db3: https://drive.google.com/file/d/19Y6yye0ndIIwdhEWMwTdoiSy9WlKS44c/view?usp=drive_link
# * map5.db3: https://drive.google.com/file/d/1zCx4Q4SftPplQtW1xeG-W3OkbTxwd5GD/view?usp=drive_link
# * map1_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/map1_bag.zip
# * map2_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/map2_bag.zip
# * map3_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/map3_bag.zip
# * map4_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/map4_bag.zip
# * map5_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/map5_bag.zip
#
# Example:
#
@@ -13,12 +13,12 @@
# $ ros2 launch rtabmap_demos multisession_mapping_demo.launch.py
#
# Rosbag:
# $ ros2 bag play map1.db3 --clock
# $ ros2 bag play map1_bag --clock
# when done, you can play the next bag(s):
# $ ros2 bag play map2.db3 --clock
# $ ros2 bag play map3.db3 --clock
# $ ros2 bag play map4.db3 --clock
# $ ros2 bag play map5.db3 --clock
# $ ros2 bag play map2_bag --clock
# $ ros2 bag play map3_bag --clock
# $ ros2 bag play map4_bag --clock
# $ ros2 bag play map5_bag --clock
#
# Refer to this paper for more info: https://arxiv.org/abs/2407.15305
#
@@ -0,0 +1,151 @@
# Description:
# 3D lidar SLAM with an Ouster OS1-32 turning on a motorized mast (a dynamixel
# joint), carried by a drone frame. The mast rotation sweeps the lidar's 32 beams
# over the whole sphere, but it also moves the lidar by a few degrees during each
# sweep: scans are deskewed point by point with TF, using the IMU orientation for
# the base and the joint states for the mast. This is rtabmap_examples'
# lidar3d_assemble.launch.py, set up for the bag: scans are assembled over half a
# turn of the mast, so each node of the map holds a full sphere.
#
# Note: the camera's rotation relative to the lidar (box_link -> camera_link in the
# bags' TF) was calibrated with rtabmap's rtabmap-lidarCameraCalibration tool; its
# translation is as measured.
#
# Requirements:
# Download one or more rosbags, the consecutive minutes of the same run:
# * netherdrone_ouster_vertige_bag_0.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/netherdrone_ouster_vertige_bag_0.zip
# * netherdrone_ouster_vertige_bag_1.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/netherdrone_ouster_vertige_bag_1.zip
# * netherdrone_ouster_vertige_bag_2.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/netherdrone_ouster_vertige_bag_2.zip
# * netherdrone_ouster_vertige_bag_3.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/netherdrone_ouster_vertige_bag_3.zip
# * netherdrone_ouster_vertige_bag_4.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/netherdrone_ouster_vertige_bag_4.zip
# * netherdrone_ouster_vertige_bag_5.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/netherdrone_ouster_vertige_bag_5.zip
#
# Example:
#
# SLAM:
# $ ros2 launch rtabmap_demos netherdrone_lidar3d_demo.launch.py
#
# Rosbag:
# $ ros2 bag play netherdrone_ouster_vertige_bag_0 --clock
# or, to play the bags one after the other:
# $ ros2 bag play netherdrone_ouster_vertige_bag_0 --clock && \
# ros2 bag play netherdrone_ouster_vertige_bag_1 --clock && \
# ros2 bag play netherdrone_ouster_vertige_bag_2 --clock && \
# ros2 bag play netherdrone_ouster_vertige_bag_3 --clock && \
# ros2 bag play netherdrone_ouster_vertige_bag_4 --clock && \
# ros2 bag play netherdrone_ouster_vertige_bag_5 --clock
#
import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import DeclareLaunchArgument, IncludeLaunchDescription
from launch.conditions import IfCondition
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration, PythonExpression
from launch_ros.actions import Node
def generate_launch_description():
lidar3d_assemble_launch = os.path.join(
get_package_share_directory('rtabmap_examples'), 'launch', 'lidar3d_assemble.launch.py')
config_rviz = os.path.join(
get_package_share_directory('rtabmap_demos'), 'config', 'demo_lidar3d.rviz')
config_rtabmap_viz = os.path.join(
get_package_share_directory('rtabmap_demos'), 'config', 'demo_lidar3d_gui.ini')
camera = LaunchConfiguration('camera')
rgbd_image_topic = PythonExpression(
["'/camera/rgbd_image' if '", camera, "'.lower() == 'true' else ''"])
return LaunchDescription([
# Launch arguments
DeclareLaunchArgument('rtabmap_viz', default_value='true', description='Launch RTAB-Map UI (optional).'),
DeclareLaunchArgument('rtabmap_viz_cfg', default_value=config_rtabmap_viz, description='Configuration path of rtabmap_viz.'),
DeclareLaunchArgument('rviz', default_value='true', description='Launch RVIZ (optional).'),
DeclareLaunchArgument('rviz_cfg', default_value=config_rviz, description='Configuration path of rviz2.'),
DeclareLaunchArgument('localization', default_value='false', description='Launch in localization mode.'),
DeclareLaunchArgument('voxel_size', default_value='0.3',
description='Voxel size (m) of the downsampled lidar point cloud. In this bag, the median range is 5-7 m and the farthest points are ~23 m.'),
DeclareLaunchArgument('camera', default_value='true',
description='Add the camera images to the map, with a depth made from the lidar, for visual loop closure detection (bag-of-words). Registration stays lidar only.'),
DeclareLaunchArgument('lidar_range_min', default_value='0.84',
description='Lidar points closer than this (m) are ignored. About 6% of each scan hits the drone itself, all within 0.6 m; the surroundings start at ~0.9 m.'),
DeclareLaunchArgument('assembler_voxel_size', default_value='0.05',
description='Voxel size (m) of the assembled clouds added to the map; 0 keeps every point (larger database, e.g., for camera-lidar calibration).'),
DeclareLaunchArgument('assembling_time', default_value='4.3',
description='How long (s) scans are assembled before being added to the map. The mast turns at 42 deg/s: 4.3 s is half a turn, in which the lidar\'s scanning plane sweeps the whole sphere.'),
DeclareLaunchArgument('intermediate_nodes', default_value='false',
description='Also save every odometry pose (10 Hz) between the map\'s nodes in the database.'),
IncludeLaunchDescription(
PythonLaunchDescriptionSource(lidar3d_assemble_launch),
launch_arguments={
'use_sim_time': 'true',
'frame_id': 'base_link',
'lidar_topic': '/os_cloud_node/points',
# The fixed frame for deskewing (base_link_stabilized) is made from its
# orientation.
'imu_topic': '/imu/data_filtered',
'voxel_size': LaunchConfiguration('voxel_size'),
'max_correspondence_distance': '1.0',
'icp_outlier_ratio': '0.3',
'odom_key_frame_threshold': '0.9',
'min_loop_closure_overlap': '0.1',
'odom_local_map_size': '20000',
'assembler_voxel_size': LaunchConfiguration('assembler_voxel_size'),
'rgbd_image_topic': rgbd_image_topic,
# The images are raw (k1=-0.34): rectify them, so that the lidar projected
# into them as their depth (gen_depth) lines up.
'rectify_images': 'true',
'gen_depth': camera,
'lidar_range_min': LaunchConfiguration('lidar_range_min'),
'expected_update_rate': '15.0', # the Ouster runs at 10 Hz
'assembling_time': LaunchConfiguration('assembling_time'),
# Look TF up at every point's own time ("t" field) rather than
# interpolating between the first and last points of the sweep: exact,
# for more TF lookups.
'deskewing_slerp': 'false',
'rtabmap_viz': LaunchConfiguration('rtabmap_viz'),
'rtabmap_viz_cfg': LaunchConfiguration('rtabmap_viz_cfg'),
'localization': LaunchConfiguration('localization'),
'intermediate_nodes': LaunchConfiguration('intermediate_nodes'),
}.items()),
# Camera image and calibration, together in one topic for rtabmap. Both have
# the same stamps. The camera has no depth: rtabmap makes it from the lidar.
Node(
condition=IfCondition(camera),
package='rtabmap_sync', executable='rgb_sync', output='screen',
parameters=[{
'use_sim_time': True,
'approx_sync': False,
'image_transport': 'compressed'}],
remappings=[('rgb/image', '/camera/image_raw'),
('rgb/camera_info', '/camera/camera_info'),
('rgbd_image', '/camera/rgbd_image')]),
# Orientation from the gyro and accelerometer of /imu/data_raw. Its own
# orientation (despite the name, it has one) is off from the accelerometer by a
# constant ~2 deg in roll and ~4 deg in pitch, so it is not used.
Node(
package='imu_complementary_filter', executable='complementary_filter_node', output='screen',
parameters=[{
'use_sim_time': True,
'use_mag': False,
'publish_tf': False,
'do_bias_estimation': True,
'do_adaptive_gain': True}],
remappings=[('imu/data_raw', '/imu/data_raw'),
('imu/data', '/imu/data_filtered')]),
Node(
package='rviz2', executable='rviz2', name='rviz2', output='screen',
condition=IfCondition(LaunchConfiguration('rviz')),
parameters=[{'use_sim_time': True}],
arguments=['-d', LaunchConfiguration('rviz_cfg')]),
])
@@ -1,6 +1,6 @@
# Requirements:
# Download rosbag:
# * demo_mapping.db3: https://drive.google.com/file/d/1v9qJ2U7GlYhqBJr7OQHWbDSCfgiVaLWb/view?usp=drive_link
# * demo_mapping_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/demo_mapping_bag.zip
#
# Example:
#
@@ -8,7 +8,7 @@
# $ ros2 launch rtabmap_demos robot_mapping_demo.launch.py rviz:=true rtabmap_viz:=true
#
# Rosbag:
# $ ros2 bag play demo_mapping.db3 --clock
# $ ros2 bag play demo_mapping_bag --clock
#
from launch import LaunchDescription
@@ -43,11 +43,11 @@ def generate_launch_description():
'RGBD/OptimizeFromGraphEnd': 'false', # Optimize graph from initial node so /map -> /odom transform will be generated
'RGBD/OptimizeMaxError': '4', # Reject any loop closure causing large errors (>3x link's covariance) in the map
'Reg/Force3DoF': 'true', # 2D SLAM
'Grid/FromDepth': 'false', # Create 2D occupancy grid from laser scan
'Grid/Sensor': '0', # Create 2D occupancy grid from laser scan
'Mem/STMSize': '30', # increased to 30 to avoid adding too many loop closures on just seen locations
'RGBD/LocalRadius': '5', # limit length of proximity detections
'Icp/CorrespondenceRatio': '0.2', # minimum scan overlap to accept loop closure
'Icp/PM': 'false',
'Icp/Strategy': '0', # 0=PCL, 1=libpointmatcher
'Icp/PointToPlane': 'false',
'Icp/MaxCorrespondenceDistance': '0.15',
'Icp/VoxelSize': '0.05'
@@ -1,7 +1,7 @@
# Requirements:
# Download one or both rosbags:
# * stereo_outdoorA.db3: https://drive.google.com/file/d/1O7mCXg_sw4tZY1S88a-n96O6OulmqvqI/view?usp=drive_link
# * stereo_outdoorB.db3: https://drive.google.com/file/d/1mSu7418Fkbe-hIz2-3Mi936PrWuD2un_/view?usp=drive_link
# * stereo_outdoorA_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/stereo_outdoorA_bag.zip
# * stereo_outdoorB_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/stereo_outdoorB_bag.zip
#
# Example:
#
@@ -9,9 +9,9 @@
# $ ros2 launch rtabmap_demos stereo_outdoor_demo.launch.py rviz:=true rtabmap_viz:=true
#
# Rosbag:
# $ ros2 bag play stereo_outdoorA.db3 --clock
# $ ros2 bag play stereo_outdoorA_bag --clock
# when done, you can play the secon bag:
# $ ros2 bag play stereo_outdoorB.db3 --clock
# $ ros2 bag play stereo_outdoorB_bag --clock
#
from launch import LaunchDescription
@@ -44,6 +44,7 @@ def generate_launch_description():
'OdomF2M/MaxSize': '1000',
'GFTT/MinDistance': '10',
'GFTT/QualityLevel': '0.00001',
'Optimizer/Iterations': '30', # With g2o (rtabmap built without GTSAM), Levenberg-Marquardt needs ~25 iterations to converge on this graph
#'Kp/DetectorStrategy': '6', # Uncommment to match ros1 noetic results, but opencv should be built with xfeatures2d
#'Vis/FeatureType': '6' # Uncommment to match ros1 noetic results, but opencv should be built with xfeatures2d
}
@@ -72,13 +73,17 @@ def generate_launch_description():
Node(
package='image_transport', executable='republish', name='republish_left', output='screen',
namespace='stereo_camera',
# The transports: as arguments up to humble, as parameters from jazzy.
arguments=['compressed', 'raw'],
parameters=[{'in_transport': 'compressed', 'out_transport': 'raw'}],
remappings=[('in/compressed', 'left/image_raw_throttle/compressed'),
('out', 'left/image_raw')]),
Node(
package='image_transport', executable='republish', name='republish_right', output='screen',
namespace='stereo_camera',
# The transports: as arguments up to humble, as parameters from jazzy.
arguments=['compressed', 'raw'],
parameters=[{'in_transport': 'compressed', 'out_transport': 'raw'}],
remappings=[('in/compressed', 'right/image_raw_throttle/compressed'),
('out', 'right/image_raw')]),
@@ -1,7 +1,7 @@
# Requirements:
# Download one or both rosbags:
# * stereo_outdoorA.db3: https://drive.google.com/file/d/1O7mCXg_sw4tZY1S88a-n96O6OulmqvqI/view?usp=drive_link
# * stereo_outdoorB.db3: https://drive.google.com/file/d/1mSu7418Fkbe-hIz2-3Mi936PrWuD2un_/view?usp=drive_link
# * stereo_outdoorA_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/stereo_outdoorA_bag.zip
# * stereo_outdoorB_bag.zip: https://github.com/introlab/rtabmap_ros/releases/download/0.23.13/stereo_outdoorB_bag.zip
#
# This is the "composition" variant of stereo_outdoor_demo.launch.py: the whole
# pipeline (image_proc rectification, stereo synchronization, visual odometry
@@ -16,9 +16,9 @@
# $ ros2 launch rtabmap_demos stereo_outdoor_demo_composition.launch.py rviz:=true rtabmap_viz:=true
#
# Rosbag:
# $ ros2 bag play stereo_outdoorA.db3 --clock
# $ ros2 bag play stereo_outdoorA_bag --clock
# when done, you can play the secon bag:
# $ ros2 bag play stereo_outdoorB.db3 --clock
# $ ros2 bag play stereo_outdoorB_bag --clock
#
from launch import LaunchDescription
@@ -123,13 +123,17 @@ def generate_launch_description():
Node(
package='image_transport', executable='republish', name='republish_left', output='screen',
namespace='stereo_camera',
# The transports: as arguments up to humble, as parameters from jazzy.
arguments=['compressed', 'raw'],
parameters=[{'in_transport': 'compressed', 'out_transport': 'raw'}],
remappings=[('in/compressed', 'left/image_raw_throttle/compressed'),
('out', 'left/image_raw')]),
Node(
package='image_transport', executable='republish', name='republish_right', output='screen',
namespace='stereo_camera',
# The transports: as arguments up to humble, as parameters from jazzy.
arguments=['compressed', 'raw'],
parameters=[{'in_transport': 'compressed', 'out_transport': 'raw'}],
remappings=[('in/compressed', 'right/image_raw_throttle/compressed'),
('out', 'right/image_raw')]),