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fix(lidar_model): add centerpoint_sigma param file #1086

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Original file line number Diff line number Diff line change
@@ -1,28 +1,21 @@
/**:
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
cloud_capacity: 2000000
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"
trt_precision: fp16
cloud_capacity: 2000000
post_process_params:
# 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
densification_params:
world_frame_id: map
num_past_frames: 1
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