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chore(tier4_perception_launch): enable to use argument centerpoint_model_name #1182

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MasatoSaeki
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@MasatoSaeki MasatoSaeki commented Oct 2, 2024

Description

This PR enable to use argument centerpoint_model_name.

This PR need to merge following universe PR at same time.

Tests performed

I have checked it work correctory by sample rosbag in my local pc.
And also checked whether it can change model. (A part of model is failed but it is no problem because it depend on another repos.)

Not applicable.

Effects on system behavior

Not applicable.

Interface changes

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Signed-off-by: MasatoSaeki <[email protected]>
Signed-off-by: MasatoSaeki <[email protected]>
@MasatoSaeki MasatoSaeki marked this pull request as ready for review October 3, 2024 02:24
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@YoshiRi YoshiRi left a comment

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LGTM with minor comment

@@ -19,12 +19,13 @@
<arg name="detected_objects_filter_method" default="lanelet_filter" description="options: lanelet_filter, position_filter"/>
<arg name="detected_objects_validation_method" default="obstacle_pointcloud" description="options: obstacle_pointcloud, occupancy_grid (must be used with laserscan_based_occupancy_grid_map)"/>
<arg name="data_path" default="$(env HOME)/autoware_data" description="packages data and artifacts directory path"/>
<arg name="lidar_detection_model" default="centerpoint" description="options: `transfusion`, `centerpoint`, `apollo`, `pointpainting`, `clustering`"/>
<arg name="lidar_detection_model" default="centerpoint" description="specify lidar detection model type and optionally can add model name like `centerpoint/centerpoint_sigma`"/>
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@YoshiRi YoshiRi Oct 23, 2024

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I prefer to add following statement.
"If the model name is not declared, the default model in lidar_dnn_detector.launch.xml will be used. "

Signed-off-by: MasatoSaeki <[email protected]>
Signed-off-by: MasatoSaeki <[email protected]>
@MasatoSaeki MasatoSaeki merged commit 8699901 into autowarefoundation:main Oct 24, 2024
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@MasatoSaeki MasatoSaeki deleted the chore/use_centerpoint_model_name branch October 28, 2024 02:20
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3 participants