bev-project/configs/nuscenes/det/centerhead/lssfpn/camera+radar/default.yaml

73 lines
1.7 KiB
YAML

data:
train:
dataset:
ann_file: nuscenes_radar/nuscenes_radar_infos_train_radar.pkl
val:
ann_file: nuscenes_radar/nuscenes_radar_infos_val_radar.pkl
test:
ann_file: nuscenes_radar/nuscenes_radar_infos_val_radar.pkl
augment2d:
resize: [[0.38, 0.55], [0.48, 0.48]]
augment3d:
scale: [0.9, 1.1]
rotate: [0, 0]
translate: 0.5
model:
encoders:
lidar: null
camera:
vtransform:
type: LSSTransform
image_size: ${image_size}
xbound: [-51.2, 51.2, 0.8]
ybound: [-51.2, 51.2, 0.8]
zbound: [-10.0, 10.0, 20.0]
dbound: [1.0, 60.0, 1.0]
radar:
voxelize_reduce: false
voxelize:
max_num_points: 20
point_cloud_range: ${point_cloud_range}
voxel_size: ${radar_voxel_size}
max_voxels: [30000, 60000]
backbone:
type: RadarEncoder
pts_voxel_encoder:
type: RadarFeatureNet
in_channels: 45
feat_channels: [128, 128, 128, 64]
with_distance: false
point_cloud_range: ${point_cloud_range}
voxel_size: ${radar_voxel_size}
norm_cfg:
type: BN1d
eps: 1.0e-3
momentum: 0.01
pts_middle_encoder:
type: PointPillarsScatter
in_channels: 64
output_shape: [128, 128]
pts_bev_encoder: null
heads:
object:
test_cfg:
nms_type:
- circle
- rotate
- rotate
- circle
- rotate
- rotate
nms_scale:
- [1.0]
- [1.0, 1.0]
- [1.0, 1.0]
- [1.0]
- [1.0, 1.0]
- [2.5, 4.0]