|
|
model = dict( |
|
|
type="ETAD", |
|
|
projection=dict( |
|
|
type="ConvSingleProj", |
|
|
in_channels=400, |
|
|
out_channels=256, |
|
|
num_convs=1, |
|
|
conv_cfg=dict(groups=4), |
|
|
norm_cfg=dict(type="GN", num_groups=16), |
|
|
), |
|
|
neck=dict( |
|
|
type="LSTMNeck", |
|
|
in_channels=256, |
|
|
out_channels=256, |
|
|
conv_cfg=dict(groups=4), |
|
|
norm_cfg=dict(type="GN", num_groups=16), |
|
|
), |
|
|
rpn_head=dict( |
|
|
type="TemporalEvaluationHead", |
|
|
in_channels=256, |
|
|
num_classes=2, |
|
|
shared=True, |
|
|
conv_cfg=dict(groups=4), |
|
|
loss=dict(pos_thresh=0.5, gt_type=["startness", "endness"]), |
|
|
), |
|
|
roi_head=dict( |
|
|
type="ETADRoIHead", |
|
|
stages=dict( |
|
|
number=3, |
|
|
loss_weight=[1, 1, 1], |
|
|
pos_iou_thresh=[0.7, 0.8, 0.9], |
|
|
), |
|
|
proposal_generator=dict( |
|
|
type="ProposalMapSampling", |
|
|
tscale=128, |
|
|
dscale=128, |
|
|
sampling_ratio=0.06, |
|
|
strategy="random", |
|
|
), |
|
|
proposal_roi_extractor=dict( |
|
|
type="ROIAlignExtractor", |
|
|
roi_size=16, |
|
|
extend_ratio=0.5, |
|
|
base_stride=1, |
|
|
), |
|
|
proposal_head=dict( |
|
|
type="ETADHead", |
|
|
in_channels=256, |
|
|
roi_size=16, |
|
|
feat_channels=512, |
|
|
fcs_num=3, |
|
|
fcs_channels=128, |
|
|
loss=dict( |
|
|
cls_weight=1.0, |
|
|
reg_weight=5.0, |
|
|
boundary_weight=10.0, |
|
|
), |
|
|
), |
|
|
), |
|
|
) |
|
|
|
