bev-project/configs/nuscenes/det/transfusion/secfpn/lidar/voxelnet.yaml

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2022-06-03 12:21:18 +08:00
model:
encoders:
lidar:
voxelize:
max_num_points: 10
point_cloud_range: ${point_cloud_range}
voxel_size: ${voxel_size}
max_voxels: [90000, 120000]
backbone:
type: SparseEncoder
in_channels: 5
sparse_shape: [1024, 1024, 41]
output_channels: 128
order:
- conv
- norm
- act
encoder_channels:
- [16, 16, 32]
- [32, 32, 64]
- [64, 64, 128]
- [128, 128]
encoder_paddings:
- [0, 0, 1]
- [0, 0, 1]
- [0, 0, [1, 1, 0]]
- [0, 0]
block_type: basicblock