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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"), # CE for THUMOS, Sigmoid for ANET
loss_loc=dict(type="GIoULoss"), # this is only a placeholder
),
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"), # this is only a placeholder
),
)
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