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Collections: |
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- Name: PointPillars |
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Metadata: |
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Training Techniques: |
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- AdamW |
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Architecture: |
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- Feature Pyramid Network |
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Paper: |
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URL: https://arxiv.org/abs/1812.05784 |
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Title: 'PointPillars: Fast Encoders for Object Detection from Point Clouds' |
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README: configs/pointpillars/README.md |
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Code: |
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URL: https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/voxel_encoders/pillar_encoder.py#L13 |
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Version: v0.6.0 |
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Models: |
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- Name: pointpillars_hv_secfpn_8xb6-160e_kitti-3d-car |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_8xb6-160e_kitti-3d-car.py |
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Metadata: |
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Training Data: KITTI |
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Training Memory (GB): 5.4 |
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Training Resources: 8x V100 GPUs |
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Results: |
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- Task: 3D Object Detection |
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Dataset: KITTI |
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Metrics: |
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AP: 77.6 |
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Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_secfpn_6x8_160e_kitti-3d-car/hv_pointpillars_secfpn_6x8_160e_kitti-3d-car_20220331_134606-d42d15ed.pth |
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- Name: pointpillars_hv_secfpn_8xb6-160e_kitti-3d-3class |
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Alias: pointpillars_kitti-3class |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_8xb6-160e_kitti-3d-3class.py |
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Metadata: |
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Training Data: KITTI |
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Training Memory (GB): 5.5 |
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Training Resources: 8x V100 GPUs |
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Results: |
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- Task: 3D Object Detection |
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Dataset: KITTI |
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Metrics: |
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AP: 64.07 |
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Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_secfpn_6x8_160e_kitti-3d-3class/hv_pointpillars_secfpn_6x8_160e_kitti-3d-3class_20220301_150306-37dc2420.pth |
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- Name: pointpillars_hv_secfpn_sbn-all_8xb4-2x_nus-3d |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb4-2x_nus-3d.py |
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Metadata: |
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Training Data: nuScenes |
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Training Memory (GB): 16.4 |
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Training Resources: 8x V100 GPUs |
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Results: |
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- Task: 3D Object Detection |
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Dataset: nuScenes |
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Metrics: |
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mAP: 34.33 |
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NDS: 49.1 |
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Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d_20210826_225857-f19d00a3.pth |
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- Name: pointpillars_hv_secfpn_sbn-all_8xb4-amp-2x_nus-3d |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb4-amp-2x_nus-3d.py |
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Metadata: |
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Training Techniques: |
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- AdamW |
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- Mixed Precision Training |
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Training Resources: 8x TITAN Xp |
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Architecture: |
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- Hard Voxelization |
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Training Data: nuScenes |
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Training Memory (GB): 8.37 |
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Results: |
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- Task: 3D Object Detection |
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Dataset: nuScenes |
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Metrics: |
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mAP: 35.19 |
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NDS: 50.27 |
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Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_secfpn_sbn-all_fp16_2x8_2x_nus-3d_20201020_222626-c3f0483e.pth |
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Code: |
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Version: v0.7.0 |
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- Name: pointpillars_hv_fpn_sbn-all_8xb4-2x_nus-3d |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb4-2x_nus-3d.py |
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Metadata: |
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Training Data: nuScenes |
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Training Memory (GB): 16.3 |
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Training Resources: 8x V100 GPUs |
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Results: |
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- Task: 3D Object Detection |
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Dataset: nuScenes |
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Metrics: |
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mAP: 39.71 |
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NDS: 53.15 |
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Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_4x8_2x_nus-3d_20210826_104936-fca299c1.pth |
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- Name: pointpillars_hv_fpn_sbn-all_8xb4-amp-2x_nus-3d |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb4-amp-2x_nus-3d.py |
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Metadata: |
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Training Techniques: |
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- AdamW |
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- Mixed Precision Training |
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Training Resources: 8x TITAN Xp |
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Architecture: |
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- Hard Voxelization |
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Training Data: nuScenes |
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Training Memory (GB): 8.40 |
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Results: |
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- Task: 3D Object Detection |
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Dataset: nuScenes |
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Metrics: |
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mAP: 39.26 |
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NDS: 53.26 |
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Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/fp16/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d/hv_pointpillars_fpn_sbn-all_fp16_2x8_2x_nus-3d_20201021_120719-269f9dd6.pth |
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Code: |
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Version: v0.7.0 |
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- Name: pointpillars_hv_secfpn_sbn-all_8xb2-2x_lyft-3d |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_8xb2-2x_lyft-3d.py |
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Metadata: |
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Training Data: Lyft |
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Training Memory (GB): 12.2 |
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Training Resources: 8x V100 GPUs |
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Results: |
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- Task: 3D Object Detection |
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Dataset: Lyft |
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Metrics: |
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Private Score: 13.8 |
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Public Score: 14.1 |
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Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_secfpn_sbn-all_2x8_2x_lyft-3d_20210829_100455-82b81c39.pth |
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- Name: pointpillars_hv_fpn_sbn-all_8xb2-2x_lyft-3d |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_fpn_sbn-all_8xb2-2x_lyft-3d.py |
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Metadata: |
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Training Data: Lyft |
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Training Memory (GB): 9.2 |
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Training Resources: 8x V100 GPUs |
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Results: |
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- Task: 3D Object Detection |
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Dataset: Lyft |
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Metrics: |
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Private Score: 14.0 |
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Public Score: 15.0 |
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Weights: https://download.openmmlab.com/mmdetection3d/v1.0.0_models/pointpillars/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d/hv_pointpillars_fpn_sbn-all_2x8_2x_lyft-3d_20210822_095429-0b3d6196.pth |
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- Name: pointpillars_hv_secfpn_sbn_2x16_2x_waymoD5-3d-car |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_sbn_2x16_2x_waymoD5-3d-car.py |
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Metadata: |
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Training Data: Waymo |
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Training Memory (GB): 7.76 |
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Training Resources: 8x GeForce GTX 1080 Ti |
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Results: |
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- Task: 3D Object Detection |
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Dataset: Waymo |
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Metrics: |
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mAP@L1: 70.2 |
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mAPH@L1: 69.6 |
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mAP@L2: 62.6 |
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mAPH@L2: 62.1 |
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Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-car_20200901_204315-302fc3e7.pth |
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- Name: pointpillars_hv_secfpn_sbn_2x16_2x_waymoD5-3d-3class |
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Alias: pointpillars_waymod5-3class |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_16xb2-2x_waymoD5-3d-3class.py |
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Metadata: |
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Training Data: Waymo |
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Training Memory (GB): 8.12 |
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Training Resources: 8x GeForce GTX 1080 Ti |
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Results: |
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- Task: 3D Object Detection |
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Dataset: Waymo |
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Metrics: |
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mAP@L1: 64.7 |
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mAPH@L1: 57.6 |
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mAP@L2: 58.4 |
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mAPH@L2: 52.1 |
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Weights: https://download.openmmlab.com/mmdetection3d/v0.1.0_models/pointpillars/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class/hv_pointpillars_secfpn_sbn_2x16_2x_waymoD5-3d-3class_20200831_204144-d1a706b1.pth |
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- Name: pointpillars_hv_secfpn_sbn_2x16_2x_waymo-3d-car |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_16xb2-2x_waymo-3d-car.py |
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Metadata: |
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Training Data: Waymo |
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Training Memory (GB): 7.76 |
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Training Resources: 8x GeForce GTX 1080 Ti |
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Results: |
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- Task: 3D Object Detection |
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Dataset: Waymo |
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Metrics: |
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mAP@L1: 72.1 |
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mAPH@L1: 71.5 |
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mAP@L2: 63.6 |
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mAPH@L2: 63.1 |
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- Name: pointpillars_hv_secfpn_sbn_2x16_2x_waymo-3d-3class |
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In Collection: PointPillars |
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Config: configs/pointpillars/pointpillars_hv_secfpn_sbn-all_16xb2-2x_waymo-3d-3class.py |
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Metadata: |
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Training Data: Waymo |
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Training Memory (GB): 8.12 |
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Training Resources: 8x GeForce GTX 1080 Ti |
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Results: |
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- Task: 3D Object Detection |
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Dataset: Waymo |
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Metrics: |
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mAP@L1: 68.8 |
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mAPH@L1: 63.3 |
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mAP@L2: 62.6 |
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mAPH@L2: 57.6 |
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