Spaces:
Sleeping
Sleeping
File size: 916 Bytes
186701e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
_base_ = './rtmdet_s_syncbn_fast_8xb32-300e_coco.py'
widen_factor = 0.5
model = dict(
bbox_head=dict(
type='RTMDetInsSepBNHead',
head_module=dict(
type='RTMDetInsSepBNHeadModule',
use_sigmoid_cls=True,
widen_factor=widen_factor),
loss_mask=dict(
type='mmdet.DiceLoss', loss_weight=2.0, eps=5e-6,
reduction='mean')),
test_cfg=dict(
multi_label=True,
nms_pre=1000,
min_bbox_size=0,
score_thr=0.05,
nms=dict(type='nms', iou_threshold=0.6),
max_per_img=100,
mask_thr_binary=0.5))
_base_.test_pipeline[-2] = dict(
type='LoadAnnotations', with_bbox=True, with_mask=True, _scope_='mmdet')
val_dataloader = dict(dataset=dict(pipeline=_base_.test_pipeline))
test_dataloader = val_dataloader
val_evaluator = dict(metric=['bbox', 'segm'])
test_evaluator = val_evaluator
|