-
Notifications
You must be signed in to change notification settings - Fork 556
/
r3det_kld_r50_fpn_1x_dota_oc.py
45 lines (44 loc) · 1.37 KB
/
r3det_kld_r50_fpn_1x_dota_oc.py
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
33
34
35
36
37
38
39
40
41
42
43
44
45
_base_ = ['../r3det/r3det_r50_fpn_1x_dota_oc.py']
angle_version = 'oc'
model = dict(
bbox_head=dict(
reg_decoded_bbox=True,
loss_bbox=dict(
_delete_=True,
type='GDLoss_v1',
loss_type='kld',
fun='log1p',
tau=1.0,
loss_weight=1.0)),
refine_heads=[
dict(
type='RotatedRetinaRefineHead',
num_classes=15,
in_channels=256,
stacked_convs=4,
feat_channels=256,
assign_by_circumhbbox=None,
anchor_generator=dict(
type='PseudoAnchorGenerator', strides=[8, 16, 32, 64, 128]),
bbox_coder=dict(
type='DeltaXYWHAOBBoxCoder',
angle_range=angle_version,
norm_factor=None,
edge_swap=False,
proj_xy=False,
target_means=(0.0, 0.0, 0.0, 0.0, 0.0),
target_stds=(1.0, 1.0, 1.0, 1.0, 1.0)),
loss_cls=dict(
type='FocalLoss',
use_sigmoid=True,
gamma=2.0,
alpha=0.25,
loss_weight=1.0),
reg_decoded_bbox=True,
loss_bbox=dict(
type='GDLoss_v1',
loss_type='kld',
fun='log1p',
tau=1.0,
loss_weight=1.0))
])