|
|
model = dict( |
|
|
type="TemporalMaxer", |
|
|
projection=dict( |
|
|
type="TemporalMaxerProj", |
|
|
in_channels=2048, |
|
|
out_channels=512, |
|
|
arch=(2, 0, 5), |
|
|
conv_cfg=dict(kernel_size=3), |
|
|
norm_cfg=dict(type="LN"), |
|
|
), |
|
|
neck=dict( |
|
|
type="FPNIdentity", |
|
|
in_channels=512, |
|
|
out_channels=512, |
|
|
num_levels=6, |
|
|
), |
|
|
rpn_head=dict( |
|
|
type="TemporalMaxerHead", |
|
|
num_classes=20, |
|
|
in_channels=512, |
|
|
feat_channels=512, |
|
|
num_convs=2, |
|
|
cls_prior_prob=0.01, |
|
|
prior_generator=dict( |
|
|
type="PointGenerator", |
|
|
strides=[1, 2, 4, 8, 16, 32], |
|
|
regression_range=[(0, 4), (4, 8), (8, 16), (16, 32), (32, 64), (64, 10000)], |
|
|
), |
|
|
loss_normalizer=100, |
|
|
loss_normalizer_momentum=0.9, |
|
|
loss=dict( |
|
|
cls_loss=dict(type="FocalLoss"), |
|
|
reg_loss=dict(type="DIOULoss"), |
|
|
), |
|
|
assigner=dict( |
|
|
type="AnchorFreeSimOTAAssigner", |
|
|
iou_weight=2, |
|
|
cls_weight=1.0, |
|
|
center_radius=1.5, |
|
|
keep_percent=1.0, |
|
|
confuse_weight=0.0, |
|
|
), |
|
|
), |
|
|
) |
|
|
|
