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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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487e14b8
编写于
5月 25, 2020
作者:
K
Kentaro Wada
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
Fix image orienation in instance_segmentation/labelme2voc.py
上级
9b5bb5ae
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
65 addition
and
68 deletion
+65
-68
examples/instance_segmentation/labelme2voc.py
examples/instance_segmentation/labelme2voc.py
+65
-68
未找到文件。
examples/instance_segmentation/labelme2voc.py
浏览文件 @
487e14b8
...
@@ -4,14 +4,12 @@ from __future__ import print_function
...
@@ -4,14 +4,12 @@ from __future__ import print_function
import
argparse
import
argparse
import
glob
import
glob
import
json
import
os
import
os
import
os.path
as
osp
import
os.path
as
osp
import
sys
import
sys
import
imgviz
import
imgviz
import
numpy
as
np
import
numpy
as
np
import
PIL.Image
import
labelme
import
labelme
...
@@ -66,73 +64,72 @@ def main():
...
@@ -66,73 +64,72 @@ def main():
f
.
writelines
(
'
\n
'
.
join
(
class_names
))
f
.
writelines
(
'
\n
'
.
join
(
class_names
))
print
(
'Saved class_names:'
,
out_class_names_file
)
print
(
'Saved class_names:'
,
out_class_names_file
)
for
label_file
in
glob
.
glob
(
osp
.
join
(
args
.
input_dir
,
'*.json'
)):
for
filename
in
glob
.
glob
(
osp
.
join
(
args
.
input_dir
,
'*.json'
)):
print
(
'Generating dataset from:'
,
label_file
)
print
(
'Generating dataset from:'
,
filename
)
with
open
(
label_file
)
as
f
:
base
=
osp
.
splitext
(
osp
.
basename
(
label_file
))[
0
]
label_file
=
labelme
.
LabelFile
(
filename
=
filename
)
out_img_file
=
osp
.
join
(
args
.
output_dir
,
'JPEGImages'
,
base
+
'.jpg'
)
base
=
osp
.
splitext
(
osp
.
basename
(
filename
))[
0
]
out_cls_file
=
osp
.
join
(
out_img_file
=
osp
.
join
(
args
.
output_dir
,
'SegmentationClass'
,
base
+
'.npy'
)
args
.
output_dir
,
'JPEGImages'
,
base
+
'.jpg'
)
out_clsp_file
=
osp
.
join
(
out_cls_file
=
osp
.
join
(
args
.
output_dir
,
'SegmentationClassPNG'
,
base
+
'.png'
)
args
.
output_dir
,
'SegmentationClass'
,
base
+
'.npy'
)
if
not
args
.
noviz
:
out_clsp_file
=
osp
.
join
(
out_clsv_file
=
osp
.
join
(
args
.
output_dir
,
'SegmentationClassPNG'
,
base
+
'.png'
)
args
.
output_dir
,
if
not
args
.
noviz
:
'SegmentationClassVisualization'
,
out_clsv_file
=
osp
.
join
(
base
+
'.jpg'
,
args
.
output_dir
,
)
'SegmentationClassVisualization'
,
out_ins_file
=
osp
.
join
(
base
+
'.jpg'
,
args
.
output_dir
,
'SegmentationObject'
,
base
+
'.npy'
)
out_insp_file
=
osp
.
join
(
args
.
output_dir
,
'SegmentationObjectPNG'
,
base
+
'.png'
)
if
not
args
.
noviz
:
out_insv_file
=
osp
.
join
(
args
.
output_dir
,
'SegmentationObjectVisualization'
,
base
+
'.jpg'
,
)
data
=
json
.
load
(
f
)
img_file
=
osp
.
join
(
osp
.
dirname
(
label_file
),
data
[
'imagePath'
])
img
=
np
.
asarray
(
PIL
.
Image
.
open
(
img_file
))
PIL
.
Image
.
fromarray
(
img
).
save
(
out_img_file
)
cls
,
ins
=
labelme
.
utils
.
shapes_to_label
(
img_shape
=
img
.
shape
,
shapes
=
data
[
'shapes'
],
label_name_to_value
=
class_name_to_id
,
)
)
ins
[
cls
==
-
1
]
=
0
# ignore it.
out_ins_file
=
osp
.
join
(
args
.
output_dir
,
'SegmentationObject'
,
base
+
'.npy'
)
# class label
out_insp_file
=
osp
.
join
(
labelme
.
utils
.
lblsave
(
out_clsp_file
,
cls
)
args
.
output_dir
,
'SegmentationObjectPNG'
,
base
+
'.png'
)
np
.
save
(
out_cls_file
,
cls
)
if
not
args
.
noviz
:
if
not
args
.
noviz
:
out_insv_file
=
osp
.
join
(
clsv
=
imgviz
.
label2rgb
(
args
.
output_dir
,
label
=
cls
,
'SegmentationObjectVisualization'
,
img
=
imgviz
.
rgb2gray
(
img
),
base
+
'.jpg'
,
label_names
=
class_names
,
)
font_size
=
15
,
loc
=
'rb'
,
img
=
labelme
.
utils
.
img_data_to_arr
(
label_file
.
imageData
)
)
imgviz
.
io
.
imsave
(
out_img_file
,
img
)
imgviz
.
io
.
imsave
(
out_clsv_file
,
clsv
)
cls
,
ins
=
labelme
.
utils
.
shapes_to_label
(
# instance label
img_shape
=
img
.
shape
,
labelme
.
utils
.
lblsave
(
out_insp_file
,
ins
)
shapes
=
label_file
.
shapes
,
np
.
save
(
out_ins_file
,
ins
)
label_name_to_value
=
class_name_to_id
,
if
not
args
.
noviz
:
)
instance_ids
=
np
.
unique
(
ins
)
ins
[
cls
==
-
1
]
=
0
# ignore it.
instance_names
=
[
str
(
i
)
for
i
in
range
(
max
(
instance_ids
)
+
1
)]
insv
=
imgviz
.
label2rgb
(
# class label
label
=
ins
,
labelme
.
utils
.
lblsave
(
out_clsp_file
,
cls
)
img
=
imgviz
.
rgb2gray
(
img
),
np
.
save
(
out_cls_file
,
cls
)
label_names
=
instance_names
,
if
not
args
.
noviz
:
font_size
=
15
,
clsv
=
imgviz
.
label2rgb
(
loc
=
'rb'
,
label
=
cls
,
)
img
=
imgviz
.
rgb2gray
(
img
),
imgviz
.
io
.
imsave
(
out_insv_file
,
insv
)
label_names
=
class_names
,
font_size
=
15
,
loc
=
'rb'
,
)
imgviz
.
io
.
imsave
(
out_clsv_file
,
clsv
)
# instance label
labelme
.
utils
.
lblsave
(
out_insp_file
,
ins
)
np
.
save
(
out_ins_file
,
ins
)
if
not
args
.
noviz
:
instance_ids
=
np
.
unique
(
ins
)
instance_names
=
[
str
(
i
)
for
i
in
range
(
max
(
instance_ids
)
+
1
)]
insv
=
imgviz
.
label2rgb
(
label
=
ins
,
img
=
imgviz
.
rgb2gray
(
img
),
label_names
=
instance_names
,
font_size
=
15
,
loc
=
'rb'
,
)
imgviz
.
io
.
imsave
(
out_insv_file
,
insv
)
if
__name__
==
'__main__'
:
if
__name__
==
'__main__'
:
...
...
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