ros2_numpy

Note: This is the same as the original ros_numpy package by eric-wieser and ros2_numpy package by box-robotics just edited to be OS independent and installable using pip.

Pointcloud manipulation is updated ros2_numpy.pointcloud2 to be compatible with ROS2. It now gives a structured numpy array with the fields x, y, z, rgb, intensity. The rgb field is a 3-tuple of uint8 values. The intensity field is a float32 value. The x, y, z fields are float32 values.

This project is a fork of ros2_numpy to work with ROS 2. It provides tools for converting ROS messages to and from numpy arrays. In the ROS 2 port, the module has been renamed to ros2_numpy. Users are encouraged to update their application code to import the module as shown below.

pip install ros2-numpy
import ros2_numpy as rnp

Prefacing your calls like rnp.numpify(...) or rnp.msgify(...) should help future proof your codebase while the ROS 2 ports are API compatible.

This module contains two core functions:

• arr = numpify(msg, ...) - try to get a numpy object from a message
• msg = msgify(MessageType, arr, ...) - try and convert a numpy object to a message

Currently supports:

• sensor_msgs.msg.PointCloud2 ↔ structured dict: # See PointCloud2 message type in ros2

  data = {"xyz": np.random.rand(100, 3), "rgb": np.random.rand(100, 3)}
  msg = ros2_numpy.msgify(PointCloud2, data)
  

  data = ros2_numpy.numpify(msg)
  

• sensor_msgs.msg.Image ↔ 2/3-D np.array, similar to the function of cv_bridge, but without the dependency on cv2

• nav_msgs.msg.OccupancyGrid ↔ np.ma.array

• geometry.msg.Vector3 ↔ 1-D np.array. hom=True gives [x, y, z, 0]

• geometry.msg.Point ↔ 1-D np.array. hom=True gives [x, y, z, 1]

• geometry.msg.Quaternion ↔ 1-D np.array, [x, y, z, w]

• geometry.msg.Transform ↔ 4×4 np.array, the homogeneous transformation matrix

• geometry.msg.Pose ↔ 4×4 np.array, the homogeneous transformation matrix from the origin

Support for more types can be added with:

@ros2_numpy.converts_to_numpy(SomeMessageClass)
def convert(my_msg):
    return np.array(...)

@ros2_numpy.converts_from_numpy(SomeMessageClass)
def convert(my_array):
    return SomeMessageClass(...)

Any extra args or kwargs to numpify or msgify will be forwarded to your conversion function

Future work

• Add simple conversions for:

  • geometry_msgs.msg.Inertia