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e4f0fbd1
编写于
5月 05, 2020
作者:
D
dongdaxiang
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差异文件
add mobilenet and resnet50 tutorial
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02b7063d
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4
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4 changed file
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python/examples/mobilenet/daisy.jpg
python/examples/mobilenet/daisy.jpg
+0
-0
python/examples/mobilenet/mobilenet_tutorial.py
python/examples/mobilenet/mobilenet_tutorial.py
+32
-0
python/examples/resnet_v2_50/daisy.jpg
python/examples/resnet_v2_50/daisy.jpg
+0
-0
python/examples/resnet_v2_50/resnet50_v2_tutorial.py
python/examples/resnet_v2_50/resnet50_v2_tutorial.py
+32
-0
未找到文件。
python/examples/mobilenet/daisy.jpg
0 → 100644
浏览文件 @
e4f0fbd1
38.8 KB
python/examples/mobilenet/mobilenet_tutorial.py
0 → 100644
浏览文件 @
e4f0fbd1
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
paddle_serving_client
import
Client
from
paddle_serving_app.reader
import
Sequential
,
File2Image
,
Resize
from
paddle_serving_app.reader
import
CenterCrop
,
RGB2BGR
,
Transpose
,
Div
,
Normalize
client
=
Client
()
client
.
load_client_config
(
"mobilenet_v2_imagenet_client/serving_client_conf.prototxt"
)
client
.
connect
([
"127.0.0.1:9393"
])
seq
=
Sequential
([
File2Image
(),
Resize
(
256
),
CenterCrop
(
224
),
RGB2BGR
(),
Transpose
((
2
,
0
,
1
)),
Div
(
255
),
Normalize
([
0.485
,
0.456
,
0.406
],
[
0.229
,
0.224
,
0.225
],
True
)
])
image_file
=
"daisy.jpg"
img
=
seq
(
image_file
)
fetch_map
=
client
.
predict
(
feed
=
{
"image"
:
img
},
fetch
=
[
"feature_map"
])
print
(
fetch_map
[
"feature_map"
].
reshape
(
-
1
))
python/examples/resnet_v2_50/daisy.jpg
0 → 100644
浏览文件 @
e4f0fbd1
38.8 KB
python/examples/resnet_v2_50/resnet50_v2_tutorial.py
0 → 100644
浏览文件 @
e4f0fbd1
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
paddle_serving_client
import
Client
from
paddle_serving_app.reader
import
Sequential
,
File2Image
,
Resize
,
CenterCrop
from
apddle_serving_app.reader
import
RGB2BGR
,
Transpose
,
Div
,
Normalize
client
=
Client
()
client
.
load_client_config
(
"resnet_v2_50_imagenet_client/serving_client_conf.prototxt"
)
client
.
connect
([
"127.0.0.1:9393"
])
seq
=
Sequential
([
File2Image
(),
Resize
(
256
),
CenterCrop
(
224
),
RGB2BGR
(),
Transpose
((
2
,
0
,
1
)),
Div
(
255
),
Normalize
([
0.485
,
0.456
,
0.406
],
[
0.229
,
0.224
,
0.225
],
True
)
])
image_file
=
"daisy.jpg"
img
=
seq
(
image_file
)
fetch_map
=
client
.
predict
(
feed
=
{
"image"
:
img
},
fetch
=
[
"feature_map"
])
print
(
fetch_map
[
"feature_map"
].
reshape
(
-
1
))
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