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wenyuanbo
tic
Commits
ad4c142b
Commit
ad4c142b
authored
Oct 03, 2018
by
Alexander Pivovarov
Committed by
Tianqi Chen
Oct 03, 2018
Browse files
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Change cat image extension to png to match its download URL (#1800)
parent
31bb62bc
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Showing
7 changed files
with
8 additions
and
7 deletions
+8
-7
.gitignore
+1
-0
nnvm/tests/python/frontend/coreml/model_zoo/__init__.py
+1
-1
tutorials/nnvm/deploy_model_on_mali_gpu.py
+1
-1
tutorials/nnvm/deploy_model_on_rasp.py
+1
-1
tutorials/nnvm/from_keras.py
+2
-2
tutorials/nnvm/from_mxnet.py
+1
-1
tutorials/nnvm/from_mxnet_to_webgl.py
+1
-1
No files found.
.gitignore
View file @
ad4c142b
...
@@ -179,6 +179,7 @@ perf
...
@@ -179,6 +179,7 @@ perf
*.h5
*.h5
synset.txt
synset.txt
cat.jpg
cat.jpg
cat.png
docs.tgz
docs.tgz
cat.png
cat.png
*.mlmodel
*.mlmodel
...
...
nnvm/tests/python/frontend/coreml/model_zoo/__init__.py
View file @
ad4c142b
...
@@ -25,7 +25,7 @@ def get_resnet50():
...
@@ -25,7 +25,7 @@ def get_resnet50():
def
get_cat_image
():
def
get_cat_image
():
url
=
'https://gist.githubusercontent.com/zhreshold/bcda4716699ac97ea44f791c24310193/raw/fa7ef0e9c9a5daea686d6473a62aacd1a5885849/cat.png'
url
=
'https://gist.githubusercontent.com/zhreshold/bcda4716699ac97ea44f791c24310193/raw/fa7ef0e9c9a5daea686d6473a62aacd1a5885849/cat.png'
dst
=
'cat.
jp
g'
dst
=
'cat.
pn
g'
real_dst
=
os
.
path
.
abspath
(
os
.
path
.
join
(
os
.
path
.
dirname
(
__file__
),
dst
))
real_dst
=
os
.
path
.
abspath
(
os
.
path
.
join
(
os
.
path
.
dirname
(
__file__
),
dst
))
download
(
url
,
real_dst
)
download
(
url
,
real_dst
)
img
=
Image
.
open
(
real_dst
)
.
resize
((
224
,
224
))
img
=
Image
.
open
(
real_dst
)
.
resize
((
224
,
224
))
...
...
tutorials/nnvm/deploy_model_on_mali_gpu.py
View file @
ad4c142b
...
@@ -91,7 +91,7 @@ block = get_model('resnet18_v1', pretrained=True)
...
@@ -91,7 +91,7 @@ block = get_model('resnet18_v1', pretrained=True)
######################################################################
######################################################################
# In order to test our model, here we download an image of cat and
# In order to test our model, here we download an image of cat and
# transform its format.
# transform its format.
img_name
=
'cat.
jp
g'
img_name
=
'cat.
pn
g'
download
(
'https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true'
,
img_name
)
download
(
'https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true'
,
img_name
)
image
=
Image
.
open
(
img_name
)
.
resize
((
224
,
224
))
image
=
Image
.
open
(
img_name
)
.
resize
((
224
,
224
))
...
...
tutorials/nnvm/deploy_model_on_rasp.py
View file @
ad4c142b
...
@@ -88,7 +88,7 @@ block = get_model('resnet18_v1', pretrained=True)
...
@@ -88,7 +88,7 @@ block = get_model('resnet18_v1', pretrained=True)
######################################################################
######################################################################
# In order to test our model, here we download an image of cat and
# In order to test our model, here we download an image of cat and
# transform its format.
# transform its format.
img_name
=
'cat.
jp
g'
img_name
=
'cat.
pn
g'
download
(
'https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true'
,
img_name
)
download
(
'https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true'
,
img_name
)
image
=
Image
.
open
(
img_name
)
.
resize
((
224
,
224
))
image
=
Image
.
open
(
img_name
)
.
resize
((
224
,
224
))
...
...
tutorials/nnvm/from_keras.py
View file @
ad4c142b
...
@@ -56,8 +56,8 @@ from PIL import Image
...
@@ -56,8 +56,8 @@ from PIL import Image
from
matplotlib
import
pyplot
as
plt
from
matplotlib
import
pyplot
as
plt
from
keras.applications.resnet50
import
preprocess_input
from
keras.applications.resnet50
import
preprocess_input
img_url
=
'https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true'
img_url
=
'https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true'
download
(
img_url
,
'cat.
jp
g'
)
download
(
img_url
,
'cat.
pn
g'
)
img
=
Image
.
open
(
'cat.
jp
g'
)
.
resize
((
224
,
224
))
img
=
Image
.
open
(
'cat.
pn
g'
)
.
resize
((
224
,
224
))
plt
.
imshow
(
img
)
plt
.
imshow
(
img
)
plt
.
show
()
plt
.
show
()
# input preprocess
# input preprocess
...
...
tutorials/nnvm/from_mxnet.py
View file @
ad4c142b
...
@@ -33,7 +33,7 @@ from mxnet.gluon.utils import download
...
@@ -33,7 +33,7 @@ from mxnet.gluon.utils import download
from
PIL
import
Image
from
PIL
import
Image
from
matplotlib
import
pyplot
as
plt
from
matplotlib
import
pyplot
as
plt
block
=
get_model
(
'resnet18_v1'
,
pretrained
=
True
)
block
=
get_model
(
'resnet18_v1'
,
pretrained
=
True
)
img_name
=
'cat.
jp
g'
img_name
=
'cat.
pn
g'
synset_url
=
''
.
join
([
'https://gist.githubusercontent.com/zhreshold/'
,
synset_url
=
''
.
join
([
'https://gist.githubusercontent.com/zhreshold/'
,
'4d0b62f3d01426887599d4f7ede23ee5/raw/'
,
'4d0b62f3d01426887599d4f7ede23ee5/raw/'
,
'596b27d23537e5a1b5751d2b0481ef172f58b539/'
,
'596b27d23537e5a1b5751d2b0481ef172f58b539/'
,
...
...
tutorials/nnvm/from_mxnet_to_webgl.py
View file @
ad4c142b
...
@@ -148,7 +148,7 @@ def download_image():
...
@@ -148,7 +148,7 @@ def download_image():
from
PIL
import
Image
from
PIL
import
Image
url
=
"https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true"
url
=
"https://github.com/dmlc/mxnet.js/blob/master/data/cat.png?raw=true"
img_name
=
"cat.
jp
g"
img_name
=
"cat.
pn
g"
gluon
.
utils
.
download
(
url
,
img_name
)
gluon
.
utils
.
download
(
url
,
img_name
)
image
=
Image
.
open
(
img_name
)
.
resize
((
224
,
224
))
image
=
Image
.
open
(
img_name
)
.
resize
((
224
,
224
))
...
...
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