|
|
tscale = 256 |
|
|
model = dict( |
|
|
type="VSGN", |
|
|
projection=dict( |
|
|
type="VSGNPyramidProj", |
|
|
in_channels=2048, |
|
|
out_channels=256, |
|
|
pyramid_levels=[2, 4, 8, 16, 32], |
|
|
), |
|
|
neck=dict( |
|
|
type="VSGNFPN", |
|
|
in_channels=256, |
|
|
out_channels=256, |
|
|
num_levels=5, |
|
|
), |
|
|
rpn_head=dict( |
|
|
type="VSGNRPNHead", |
|
|
in_channels=256, |
|
|
num_layers=4, |
|
|
num_classes=1, |
|
|
iou_thr=0.6, |
|
|
anchor_generator=dict( |
|
|
pyramid_levels=[2, 4, 8, 16, 32], |
|
|
tscale=tscale, |
|
|
anchor_scale=[7, 7.5], |
|
|
), |
|
|
tem_head=dict( |
|
|
type="TemporalEvaluationHead", |
|
|
in_channels=256, |
|
|
num_classes=3, |
|
|
loss=dict(pos_thresh=0.5, gt_type=["startness", "endness", "actionness"]), |
|
|
), |
|
|
loss_cls=dict(type="BalancedCEloss"), |
|
|
loss_loc=dict(type="GIoULoss"), |
|
|
), |
|
|
roi_head=dict( |
|
|
type="VSGNRoIHead", |
|
|
in_channels=256, |
|
|
iou_thr=0.7, |
|
|
roi_extractor=dict(type="CornerExtractor", beta=8.0, base_stride=2, tscale=tscale), |
|
|
loss_loc=dict(type="GIoULoss"), |
|
|
), |
|
|
) |
|
|
|
