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Merge pull request autowarefoundation#842 from tier4/sync-tier4-upstream
chore: sync upstream
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27 changes: 27 additions & 0 deletions
27
...h/config/perception/object_recognition/detection/lidar_model/centerpoint_sigma.param.yaml
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/**: | ||
ros__parameters: | ||
class_names: ["CAR", "TRUCK", "BUS", "BICYCLE", "PEDESTRIAN"] | ||
point_feature_size: 4 | ||
max_voxel_size: 40000 | ||
point_cloud_range: [-76.8, -76.8, -4.0, 76.8, 76.8, 6.0] | ||
voxel_size: [0.32, 0.32, 10.0] | ||
downsample_factor: 1 | ||
encoder_in_feature_size: 9 | ||
# post-process params | ||
circle_nms_dist_threshold: 0.5 | ||
iou_nms_target_class_names: ["CAR"] | ||
iou_nms_search_distance_2d: 10.0 | ||
iou_nms_threshold: 0.1 | ||
yaw_norm_thresholds: [0.3, 0.3, 0.3, 0.3, 0.0] | ||
score_threshold: 0.35 | ||
has_variance: true | ||
has_twist: true | ||
trt_precision: fp16 | ||
densification_num_past_frames: 1 | ||
densification_world_frame_id: map | ||
|
||
# weight files | ||
encoder_onnx_path: "$(var model_path)/pts_voxel_encoder_$(var model_name).onnx" | ||
encoder_engine_path: "$(var model_path)/pts_voxel_encoder_$(var model_name).engine" | ||
head_onnx_path: "$(var model_path)/pts_backbone_neck_head_$(var model_name).onnx" | ||
head_engine_path: "$(var model_path)/pts_backbone_neck_head_$(var model_name).engine" |
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283 changes: 139 additions & 144 deletions
283
...nning/lane_driving/behavior_planning/behavior_path_planner/avoidance/avoidance.param.yaml
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