【文件属性】:
文件名称:matlab中批量导入图像代码-DnCNN:超越高斯去噪器:深度CNN的残差学习以进行图像去噪(TIP,2017年)
文件大小:143.56MB
文件格式:ZIP
更新时间:2021-05-20 00:20:51
系统开源
matlab中批量导入图像代码
消息:
最先进的降噪性能
可用于即插即用的图像恢复
-18/12/2019
I
recommend
to
use
the
PyTorch
code
for
training
and
testing.
The
model
parameters
of
MatConvnet
and
PyTorch
are
same.
合并批量归一化(PyTorch)
import
torch
import
torch
.
nn
as
nn
def
merge_bn
(
model
):
'''
merge
all
'Conv+BN'
(or
'TConv+BN')
into
'Conv'
(or
'TConv')
based
on
https://github.com/pytorch/pytorch/pull/901
by
Kai
Zhang
(cskaizhang@gmail.com)
https://github.com/cszn/DnCNN
01/01/2019
'''
prev_m
=
None
for
k
,
m
in
list
(
model
.
named_ch