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model = dict(
type="GTAD",
projection=dict(
type="ConvSingleProj",
num_convs=1,
in_channels=400,
out_channels=256,
conv_cfg=dict(groups=4),
),
neck=dict(
type="GCNeXt",
in_channels=256,
out_channels=256,
k=3,
groups=32,
),
rpn_head=dict(
type="GCNextTemporalEvaluationHead",
in_channels=256,
num_classes=2,
loss=dict(pos_thresh=0.5, gt_type=["startness", "endness"]),
),
roi_head=dict(
type="StandardProposalMapHead",
proposal_generator=dict(type="DenseProposalMap", tscale=100, dscale=100),
proposal_roi_extractor=dict(
type="GTADExtractor",
in_channels=256,
out_channels=512,
tscale=100,
dscale=100,
),
proposal_head=dict(
type="PEMHead", # FC_head
in_channels=512,
feat_channels=128,
num_convs=3,
num_classes=2,
kernel_size=1,
loss=dict(
cls_loss=dict(type="BalancedBCELoss", pos_thresh=0.9),
reg_loss=dict(type="BalancedL2Loss", high_thresh=0.7, low_thresh=0.3, weight=5.0),
),
),
),
)
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