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1 | initial version |
I have not benchmarked this with rclpy but we saw the same behavior with rospy and roscpp where actually just subscribing to the /tf
topic in python takes that order of magnitude CPU to receive the firehose of high frequency data.
To that end we created the tf2 buffer_server. It providea an action based API for querying transforms from another node. You can find some pointers in the tf2 MIgration notes: http://wiki.ros.org/tf2/Migration
The c++ implementation of the Listener be default provides this API. And you can just create the buffer_client and point it at an existing buffer_server running on a neighboring c++ node.
2 | No.2 Revision |
I have not benchmarked this with rclpy but we saw the same behavior with rospy and roscpp where actually just subscribing to the /tf
topic in python takes that order of magnitude CPU to receive the firehose of high frequency data.
To that end we created the tf2 buffer_server. It providea an action based API for querying transforms from another node. You can find some pointers in the tf2 MIgration notes: http://wiki.ros.org/tf2/Migration
The c++ implementation of the Listener be default provides this API. And you can just create the buffer_client and point it at an existing buffer_server running on a neighboring c++ node.
The ROS 2 implementation parallels the ROS 1 implementation.