Unverified Commit 93dc5dfc authored by twang's avatar twang Committed by GitHub
Browse files

[Enhance] Update SECOND benchmark on Waymo (#205)

* Enhance SECOND benchmark on Waymo

* Update log link
parent 04cf8929
...@@ -10,7 +10,7 @@ model = dict( ...@@ -10,7 +10,7 @@ model = dict(
max_num_points=10, max_num_points=10,
point_cloud_range=[-76.8, -51.2, -2, 76.8, 51.2, 4], point_cloud_range=[-76.8, -51.2, -2, 76.8, 51.2, 4],
voxel_size=voxel_size, voxel_size=voxel_size,
max_voxels=(60000, 60000)), max_voxels=(80000, 90000)),
voxel_encoder=dict(type='HardSimpleVFE', num_features=5), voxel_encoder=dict(type='HardSimpleVFE', num_features=5),
middle_encoder=dict( middle_encoder=dict(
type='SparseEncoder', type='SparseEncoder',
......
...@@ -25,7 +25,7 @@ We implement SECOND and provide the results and checkpoints on KITTI dataset. ...@@ -25,7 +25,7 @@ We implement SECOND and provide the results and checkpoints on KITTI dataset.
| Backbone | Load Interval | Class | Lr schd | Mem (GB) | Inf time (fps) | mAP@L1 | mAPH@L1 | mAP@L2 | **mAPH@L2** | Download | | Backbone | Load Interval | Class | Lr schd | Mem (GB) | Inf time (fps) | mAP@L1 | mAPH@L1 | mAP@L2 | **mAPH@L2** | Download |
| :-------: | :-----------: |:-----:| :------:| :------: | :------------: | :----: | :-----: | :-----: | :-----: | :------: | | :-------: | :-----------: |:-----:| :------:| :------: | :------------: | :----: | :-----: | :-----: | :-----: | :------: |
| [SECFPN](./hv_second_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py)|5|3 Class|2x|8.12||58.0|53.5|51.5|48.3|[log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_sbn_2x16_2x_waymoD5-3d-3class/hv_second_secfpn_sbn_2x16_2x_waymoD5-3d-3class_20201003_105141.log.json)| | [SECFPN](./hv_second_secfpn_sbn_2x16_2x_waymoD5-3d-3class.py)|5|3 Class|2x|8.12||58.0|53.5|51.5|48.3|[log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/second/hv_second_secfpn_sbn_4x8_2x_waymoD5-3d-3class/hv_second_secfpn_sbn_4x8_2x_waymoD5-3d-3class_20201115_112448.log.json)|
| above @ Car|||2x|8.12||58.5|57.9|51.6|51.1| | | above @ Car|||2x|8.12||58.5|57.9|51.6|51.1| |
| above @ Pedestrian|||2x|8.12||63.9|54.9|56.0|48.0| | | above @ Pedestrian|||2x|8.12||63.9|54.9|56.0|48.0| |
| above @ Cyclist|||2x|8.12||48.6|47.6|46.8|45.8| | | above @ Cyclist|||2x|8.12||48.6|47.6|46.8|45.8| |
......
...@@ -17,9 +17,9 @@ db_sampler = dict( ...@@ -17,9 +17,9 @@ db_sampler = dict(
rate=1.0, rate=1.0,
prepare=dict( prepare=dict(
filter_by_difficulty=[-1], filter_by_difficulty=[-1],
filter_by_min_points=dict(Car=5, Pedestrian=10, Cyclist=10)), filter_by_min_points=dict(Car=5, Pedestrian=5, Cyclist=5)),
classes=class_names, classes=class_names,
sample_groups=dict(Car=6, Pedestrian=8, Cyclist=10), sample_groups=dict(Car=15, Pedestrian=10, Cyclist=10),
points_loader=dict( points_loader=dict(
type='LoadPointsFromFile', load_dim=5, use_dim=[0, 1, 2, 3, 4])) type='LoadPointsFromFile', load_dim=5, use_dim=[0, 1, 2, 3, 4]))
...@@ -68,7 +68,7 @@ test_pipeline = [ ...@@ -68,7 +68,7 @@ test_pipeline = [
] ]
data = dict( data = dict(
samples_per_gpu=2, samples_per_gpu=4,
workers_per_gpu=4, workers_per_gpu=4,
train=dict( train=dict(
type='RepeatDataset', type='RepeatDataset',
......
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