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Commit 208611a4 authored by wangtai's avatar wangtai Committed by zhangwenwei
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Update configs/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_lyft-3d.py,... 

Update configs/pointpillars/hv_pointpillars_secfpn_sbn-all_4x8_2x_lyft-3d.py, configs/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_lyft-3d.py, configs/_base_/datasets/lyft-3d.py files
parent 1185f0b1
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Showing with 128 additions and 4 deletions
configs/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_1x16_2x_lyft-3d.py 0 → 100644
View file @ 208611a4
_base_ = [
'../_base_/models/hv_pointpillars_fpn_lyft.py',
'../_base_/datasets/lyft-3d.py',
'../_base_/schedules/schedule_2x.py',
'../_base_/default_runtime.py',
]
# model settings
model = dict(
type='MVXFasterRCNN',
pretrained=dict(pts='open-mmlab://regnetx_400mf'),
pts_backbone=dict(
_delete_=True,
type='NoStemRegNet',
arch=dict(w0=24, wa=24.48, wm=2.54, group_w=16, depth=22, bot_mul=1.0),
out_indices=(1, 2, 3),
frozen_stages=-1,
strides=(1, 2, 2, 2),
base_channels=64,
stem_channels=64,
norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01),
norm_eval=False,
style='pytorch'),
pts_neck=dict(in_channels=[64, 160, 384]))
configs/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_4x8_2x_nus-3d.py
View file @ 208611a4
_base_ = [
'../_base_/models/pointpillars_second_fpn.py',
'../_base_/models/hv_pointpillars_fpn_nus.py',
'../_base_/datasets/nus-3d.py',
'../_base_/schedules/schedule_2x.py',
'../_base_/default_runtime.py',
......
configs/regnet/hv_pointpillars_regnet-400mf_fpn_sbn-all_range100_2x8_2x_lyft-3d.py 0 → 100644
View file @ 208611a4
_base_ = [
'../_base_/models/hv_pointpillars_fpn_range100_lyft.py',
'../_base_/datasets/range100_lyft-3d.py',
'../_base_/schedules/schedule_2x.py',
'../_base_/default_runtime.py',
]
# model settings
model = dict(
type='MVXFasterRCNN',
pretrained=dict(pts='open-mmlab://regnetx_400mf'),
pts_backbone=dict(
_delete_=True,
type='NoStemRegNet',
arch=dict(w0=24, wa=24.48, wm=2.54, group_w=16, depth=22, bot_mul=1.0),
out_indices=(1, 2, 3),
frozen_stages=-1,
strides=(1, 2, 2, 2),
base_channels=64,
stem_channels=64,
norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01),
norm_eval=False,
style='pytorch'),
pts_neck=dict(in_channels=[64, 160, 384]))
configs/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_1x16_2x_lyft-3d.py 0 → 100644
View file @ 208611a4
_base_ = './hv_pointpillars_regnet-400mf_fpn_sbn-all_1x16_2x_lyft-3d.py'
# model settings
model = dict(
pts_neck=dict(
type='SECONDFPN',
_delete_=True,
norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01),
in_channels=[64, 160, 384],
upsample_strides=[1, 2, 4],
out_channels=[128, 128, 128]),
pts_bbox_head=dict(
type='Anchor3DHead',
in_channels=384,
feat_channels=384,
anchor_generator=dict(
_delete_=True,
type='AlignedAnchor3DRangeGenerator',
ranges=[[-80, -80, -1.0715024, -80, -80, -1.0715024],
[-80, -80, -0.3033737, -80, -80, -0.3033737],
[-80, -80, -0.3519405, -80, -80, -0.3519405],
[-80, -80, -0.8871424, -80, -80, -0.8871424],
[-80, -80, -0.6276341, -80, -80, -0.6276341],
[-80, -80, -1.3220503, -80, -80, -1.3220503],
[-80, -80, -1.0709302, -80, -80, -1.0709302],
[-80, -80, -0.9122268, -80, -80, -0.9122268],
[-80, -80, -1.8012227, -80, -80, -1.8012227]],
sizes=[
[1.92, 4.75, 1.71], # car
[2.84, 10.24, 3.44], # truck
[2.92, 12.70, 3.42], # bus
[2.42, 6.52, 2.34], # emergency vehicle
[2.75, 8.17, 3.20], # other vehicle
[0.96, 2.35, 1.59], # motorcycle
[0.63, 1.76, 1.44], # bicycle
[0.76, 0.80, 1.76], # pedestrian
[0.35, 0.73, 0.50] # animal
],
rotations=[0, 1.57],
reshape_out=True)))
configs/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_4x8_2x_nus-3d.py
View file @ 208611a4
......@@ -36,4 +36,3 @@ model = dict(
custom_values=[0, 0],
rotations=[0, 1.57],
reshape_out=True)))
# model training and testing settings
configs/regnet/hv_pointpillars_regnet-400mf_secfpn_sbn-all_range100_2x8_2x_lyft-3d.py 0 → 100644
View file @ 208611a4
_base_ = \
'./hv_pointpillars_regnet-400mf_fpn_sbn-all_range100_2x8_2x_lyft-3d.py'
# model settings
model = dict(
pts_neck=dict(
type='SECONDFPN',
_delete_=True,
norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01),
in_channels=[64, 160, 384],
upsample_strides=[1, 2, 4],
out_channels=[128, 128, 128]),
pts_bbox_head=dict(
type='Anchor3DHead',
in_channels=384,
feat_channels=384,
anchor_generator=dict(
_delete_=True,
type='AlignedAnchor3DRangeGenerator',
ranges=[[-100, -100, -1.0715024, -100, -100, -1.0715024],
[-100, -100, -0.3033737, -100, -100, -0.3033737],
[-100, -100, -0.3519405, -100, -100, -0.3519405],
[-100, -100, -0.8871424, -100, -100, -0.8871424],
[-100, -100, -0.6276341, -100, -100, -0.6276341],
[-100, -100, -1.3220503, -100, -100, -1.3220503],
[-100, -100, -1.0709302, -100, -100, -1.0709302],
[-100, -100, -0.9122268, -100, -100, -0.9122268],
[-100, -100, -1.8012227, -100, -100, -1.8012227]],
sizes=[
[1.92, 4.75, 1.71], # car
[2.84, 10.24, 3.44], # truck
[2.92, 12.70, 3.42], # bus
[2.42, 6.52, 2.34], # emergency vehicle
[2.75, 8.17, 3.20], # other vehicle
[0.96, 2.35, 1.59], # motorcycle
[0.63, 1.76, 1.44], # bicycle
[0.76, 0.80, 1.76], # pedestrian
[0.35, 0.73, 0.50] # animal
],
rotations=[0, 1.57],
reshape_out=True)))
configs/second/hv_second_secfpn_6x8_80e_kitti-3d-3class.py
View file @ 208611a4
_base_ = [
'../_base_/models/hv_second_secfpn.py',
'../_base_/models/hv_second_secfpn_kitti.py',
'../_base_/datasets/kitti-3d-3class.py',
'../_base_/schedules/cyclic_40e.py', '../_base_/default_runtime.py'
]
configs/second/hv_second_secfpn_6x8_80e_kitti-3d-car.py
View file @ 208611a4
_base_ = [
'../_base_/models/hv_second_secfpn.py',
'../_base_/models/hv_second_secfpn_kitti.py',
'../_base_/datasets/kitti-3d-car.py', '../_base_/schedules/cyclic_40e.py',
'../_base_/default_runtime.py'
]
......
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