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体验新版 GitCode,发现更多精彩内容 >>
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bc84c2f5
编写于
3月 30, 2018
作者:
K
Kentaro Wada
浏览文件
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电子邮件补丁
差异文件
tutorial -> single_image
上级
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README.md
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README.md
浏览文件 @
bc84c2f5
...
...
@@ -87,12 +87,12 @@ Run `labelme --help` for detail.
```
bash
labelme
# Open GUI
labelme examples/
tutorial
/apc2016_obj3.jpg
# Specify file
labelme examples/
tutorial/apc2016_obj3.jpg
-O
examples/tutorial
/apc2016_obj3.json
# Close window after the save
labelme examples/
tutorial
/apc2016_obj3.jpg
--nodata
# Not include image data but relative image path in JSON file
labelme examples/
tutorial
/apc2016_obj3.jpg
\
labelme examples/
single_image
/apc2016_obj3.jpg
# Specify file
labelme examples/
single_image/apc2016_obj3.jpg
-O
examples/single_image
/apc2016_obj3.json
# Close window after the save
labelme examples/
single_image
/apc2016_obj3.jpg
--nodata
# Not include image data but relative image path in JSON file
labelme examples/
single_image
/apc2016_obj3.jpg
\
--labels
highland_6539_self_stick_notes,mead_index_cards,kong_air_dog_squeakair_tennis_ball
# Specify label list
labelme examples/
tutorial
/
# Open directory to annotate all images in it
labelme examples/
single_image
/
# Open directory to annotate all images in it
```
The annotations are saved as a
[
JSON
](
http://www.json.org/
)
file. The
...
...
@@ -103,7 +103,7 @@ file includes the image itself.
To view the json file quickly, you can use utility script:
```
bash
labelme_draw_json examples/
tutorial
/apc2016_obj3.json
labelme_draw_json examples/
single_image
/apc2016_obj3.json
```
<img
src=
".readme/apc2016_obj3_draw_json.jpg"
width=
"70%"
/>
...
...
@@ -114,26 +114,26 @@ To convert the json to set of image and label, you can run following:
```
bash
labelme_json_to_dataset examples/
tutorial/apc2016_obj3.json
-o
examples/tutorial
/apc2016_obj3_json
labelme_json_to_dataset examples/
single_image/apc2016_obj3.json
-o
examples/single_image
/apc2016_obj3_json
```
It generates standard files from the JSON file.
-
[
img.png
](
examples/
tutorial
/apc2016_obj3_json/img.png
)
: Image file.
-
[
label.png
](
examples/
tutorial
/apc2016_obj3_json/label.png
)
: Int32 label file.
-
[
label_viz.png
](
examples/
tutorial
/apc2016_obj3_json/label_viz.png
)
: Visualization of
`label.png`
.
-
[
label_names.txt
](
examples/
tutorial
/apc2016_obj3_json/label_names.txt
)
: Label names for values in
`label.png`
.
-
[
img.png
](
examples/
single_image
/apc2016_obj3_json/img.png
)
: Image file.
-
[
label.png
](
examples/
single_image
/apc2016_obj3_json/label.png
)
: Int32 label file.
-
[
label_viz.png
](
examples/
single_image
/apc2016_obj3_json/label_viz.png
)
: Visualization of
`label.png`
.
-
[
label_names.txt
](
examples/
single_image
/apc2016_obj3_json/label_names.txt
)
: Label names for values in
`label.png`
.
Note that loading
`label.png`
is a bit difficult
(
`scipy.misc.imread`
,
`skimage.io.imread`
may not work correctly),
and please use
`PIL.Image.open`
to avoid unexpected behavior:
```
python
# see examples/
tutorial
/load_label_png.py also.
# see examples/
single_image
/load_label_png.py also.
>>>
import
numpy
as
np
>>>
import
PIL.Image
>>>
label_png
=
'examples/
tutorial
/apc2016_obj3_json/label.png'
>>>
label_png
=
'examples/
single_image
/apc2016_obj3_json/label.png'
>>>
lbl
=
np
.
asarray
(
PIL
.
Image
.
open
(
label_png
))
>>>
print
(
lbl
.
dtype
)
dtype
(
'int32'
)
...
...
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