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feat(autoware_lidar_centerpoint): added the cuda_blackboard to centerpoint #9453
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feat(autoware_lidar_centerpoint): added the cuda_blackboard to centerpoint #9453
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…point Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
Thank you for contributing to the Autoware project! 🚧 If your pull request is in progress, switch it to draft mode. Please ensure:
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@knzo25 Thank you for your great work 🎉 Do you have any documentation for the cuda_blackboard package? Just a simple API references and overall design in a readme would be helpful to review the PRs. |
@kminoda |
@kminoda |
…terpoint Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
...eption/autoware_image_projection_based_fusion/src/pointpainting_fusion/pointpainting_trt.cpp
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Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
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Great improvement, as cuda blackboard is 🚀! Apart from review comments, please take a look on pre-commit log (missing header).
perception/autoware_lidar_centerpoint/include/autoware/lidar_centerpoint/centerpoint_trt.hpp
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perception/autoware_lidar_centerpoint/launch/lidar_centerpoint.launch.xml
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Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #9453 +/- ##
==========================================
+ Coverage 25.92% 25.93% +0.01%
==========================================
Files 1383 1383
Lines 106873 106810 -63
Branches 40931 40897 -34
==========================================
- Hits 27708 27704 -4
+ Misses 76459 76399 -60
- Partials 2706 2707 +1
*This pull request uses carry forward flags. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
…autoware.universe into feat/cuda_blackboard_centerpoint
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LGTM for centerpoint!
This PR can be safely merged once autowarefoundation/autoware#5924 is merged and is tested with the perception evaluator |
…rt the blackboard yet) Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
… the blackboard Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
Executing the evaluator here : TIERIV INTERNAL LINK Update: tests pass |
Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
…autoware.universe into feat/cuda_blackboard_centerpoint
Signed-off-by: Kenzo Lobos-Tsunekawa <kenzo.lobos@tier4.jp>
…autoware.universe into feat/cuda_blackboard_centerpoint
@YoshiRi @badai-nguyen @tzhong518 |
Description
This is part of the series of PR related to #9722
List of PRs:
Depending on your machine and how many nodes are in a container, the following branch may also be required:
https://github.com/knzo25/launch_ros/tree/fix/load_composable_node
There seems to be a but in ROS where if you send too many services at once some will be lost and
ros_launch
can not handle that.Related links
Parent Issue:
How was this PR tested?
The sensing/perception pipeline was tested until centerpoint for TIER IV's taxi using the logging simulator.
The following tests were executed in a laptop equipped with a RTX 4060 (laptop) GPU and a Intel(R) Core(TM) Ultra 7 165H (22 cores)
Notes for reviewers
Note 1:
The main branch that I used for development is
feat/cuda_acceleration_and_transport_layer2
.However, the changes were too big so I split the PRs. That being said, development, if any will still be on that branch (and then cherrypicked to the respective PRs), and the review changes will be cherrypicked into the development branch.
Note 2:
Now that the cuda blackboard itself has been added to autoware, this PR can be tested in a standalone fashion as well
Note 3:
Due to a missing feature in the blackboard, the following version is needed for now: autowarefoundation/cuda_blackboard#1
How that feature will be merged into autoware is explained in the respective PR
Interface changes
An additional topic is added to perform type negotiation:
Example:
input/pointcloud
->input/pointcloud
andinput/pointcloud/cuda
Effects on system behavior
Enabling this preprocessing in the launchers should provide a much reduced latency and cpu usage (at the cost of a higher GPU usage)