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体验新版 GitCode,发现更多精彩内容 >>
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43046bfa
编写于
6月 03, 2020
作者:
S
seven
浏览文件
操作
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差异文件
modify save file name
上级
3fef7f9a
变更
2
隐藏空白更改
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Showing
2 changed file
with
10 addition
and
29 deletion
+10
-29
paddlex/interpret/core/interpretation_algorithms.py
paddlex/interpret/core/interpretation_algorithms.py
+8
-27
paddlex/interpret/visualize.py
paddlex/interpret/visualize.py
+2
-2
未找到文件。
paddlex/interpret/core/interpretation_algorithms.py
浏览文件 @
43046bfa
...
...
@@ -107,7 +107,6 @@ class CAM(object):
axes
[
1
].
set_title
(
"CAM"
)
if
save_outdir
is
not
None
:
os
.
makedirs
(
save_outdir
,
exist_ok
=
True
)
save_fig
(
data_
,
save_outdir
,
'cam'
)
if
visualization
:
...
...
@@ -219,7 +218,7 @@ class LIME(object):
self
.
lime_interpreter
,
l
,
w
)
temp
,
mask
=
self
.
lime_interpreter
.
get_image_and_mask
(
l
,
positive_only
=
Fals
e
,
positive_only
=
Tru
e
,
hide_rest
=
False
,
num_features
=
num_to_show
)
axes
[
ncols
+
i
].
imshow
(
mark_boundaries
(
temp
,
mask
))
...
...
@@ -227,7 +226,6 @@ class LIME(object):
"label {}, first {} superpixels"
.
format
(
ln
,
num_to_show
))
if
save_outdir
is
not
None
:
os
.
makedirs
(
save_outdir
,
exist_ok
=
True
)
save_fig
(
data_
,
save_outdir
,
'lime'
,
self
.
num_samples
)
if
visualization
:
...
...
@@ -412,7 +410,6 @@ class NormLIMEStandard(object):
self
.
_lime
.
lime_interpreter
.
local_weights
=
lime_weights
if
save_outdir
is
not
None
:
os
.
makedirs
(
save_outdir
,
exist_ok
=
True
)
save_fig
(
data_
,
save_outdir
,
'normlime'
,
self
.
num_samples
)
if
visualization
:
...
...
@@ -596,7 +593,6 @@ class NormLIME(object):
self
.
_lime
.
lime_interpreter
.
local_weights
=
lime_weights
if
save_outdir
is
not
None
:
os
.
makedirs
(
save_outdir
,
exist_ok
=
True
)
save_fig
(
data_
,
save_outdir
,
'normlime'
,
self
.
num_samples
)
if
visualization
:
...
...
@@ -674,26 +670,11 @@ def get_cam(image_show,
def
save_fig
(
data_
,
save_outdir
,
algorithm_name
,
num_samples
=
3000
):
import
matplotlib.pyplot
as
plt
if
isinstance
(
data_
,
str
):
if
algorithm_name
==
'cam'
:
f_out
=
"{}_{}.png"
.
format
(
algorithm_name
,
data_
.
split
(
'/'
)[
-
1
])
else
:
f_out
=
"{}_{}_s{}.png"
.
format
(
algorithm_name
,
data_
.
split
(
'/'
)[
-
1
],
num_samples
)
plt
.
savefig
(
os
.
path
.
join
(
save_outdir
,
f_out
))
if
algorithm_name
==
'cam'
:
f_out
=
"{}_{}.png"
.
format
(
algorithm_name
,
data_
.
split
(
'/'
)[
-
1
])
else
:
n
=
0
if
algorithm_name
==
'cam'
:
f_out
=
'cam-{}.png'
.
format
(
n
)
else
:
f_out
=
'{}_s{}-{}.png'
.
format
(
algorithm_name
,
num_samples
,
n
)
while
os
.
path
.
exists
(
os
.
path
.
join
(
save_outdir
,
f_out
)):
n
+=
1
if
algorithm_name
==
'cam'
:
f_out
=
'cam-{}.png'
.
format
(
n
)
else
:
f_out
=
'{}_s{}-{}.png'
.
format
(
algorithm_name
,
num_samples
,
n
)
continue
plt
.
savefig
(
os
.
path
.
join
(
save_outdir
,
f_out
))
logging
.
info
(
'The image of intrepretation result save in {}'
.
format
(
os
.
path
.
join
(
save_outdir
,
f_out
)))
f_out
=
"{}_{}_s{}.png"
.
format
(
save_outdir
,
algorithm_name
,
num_samples
)
plt
.
savefig
(
f_out
)
logging
.
info
(
'The image of intrepretation result save in {}'
.
format
(
f_out
))
paddlex/interpret/visualize.py
浏览文件 @
43046bfa
...
...
@@ -58,7 +58,7 @@ def lime(img_file, model, num_samples=3000, batch_size=50, save_dir='./'):
interpreter
=
get_lime_interpreter
(
img
,
model
,
num_samples
=
num_samples
,
batch_size
=
batch_size
)
img_name
=
osp
.
splitext
(
osp
.
split
(
img_file
)[
-
1
])[
0
]
interpreter
.
interpret
(
img
,
save_dir
=
save_dir
)
interpreter
.
interpret
(
img
,
save_dir
=
osp
.
join
(
save_dir
,
img_name
)
)
def
normlime
(
img_file
,
...
...
@@ -111,7 +111,7 @@ def normlime(img_file,
save_dir
=
save_dir
,
normlime_weights_file
=
normlime_weights_file
)
img_name
=
osp
.
splitext
(
osp
.
split
(
img_file
)[
-
1
])[
0
]
interpreter
.
interpret
(
img
,
save_dir
=
save_dir
)
interpreter
.
interpret
(
img
,
save_dir
=
osp
.
join
(
save_dir
,
img_name
)
)
def
get_lime_interpreter
(
img
,
model
,
num_samples
=
3000
,
batch_size
=
50
):
...
...
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