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acc4304c
编写于
3月 11, 2020
作者:
G
guru4elephant
浏览文件
操作
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电子邮件补丁
差异文件
add gpu web service scripts
上级
4969600f
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
62 addition
and
11 deletion
+62
-11
python/examples/imagenet/get_model.sh
python/examples/imagenet/get_model.sh
+1
-1
python/examples/imagenet/image_classification_service_gpu.py
python/examples/imagenet/image_classification_service_gpu.py
+40
-0
python/examples/imagenet/image_http_client.py
python/examples/imagenet/image_http_client.py
+9
-4
python/examples/imagenet/image_rpc_client.py
python/examples/imagenet/image_rpc_client.py
+12
-6
未找到文件。
python/examples/imagenet/get_model.sh
浏览文件 @
acc4304c
wget https://paddle-serving.bj.bcebos.com/imagenet-example/conf_and_model.tar.gz
wget
--no-check-certificate
https://paddle-serving.bj.bcebos.com/imagenet-example/conf_and_model.tar.gz
tar
-xzvf
conf_and_model.tar.gz
python/examples/imagenet/image_classification_service_gpu.py
0 → 100644
浏览文件 @
acc4304c
# 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_server_gpu.web_service
import
WebService
import
sys
import
os
import
base64
from
image_reader
import
ImageReader
class
ImageService
(
WebService
):
def
preprocess
(
self
,
feed
=
{},
fetch
=
[]):
reader
=
ImageReader
()
if
"image"
not
in
feed
:
raise
(
"feed data error!"
)
sample
=
base64
.
b64decode
(
feed
[
"image"
])
img
=
reader
.
process_image
(
sample
)
res_feed
=
{}
res_feed
[
"image"
]
=
img
.
reshape
(
-
1
)
return
res_feed
,
fetch
image_service
=
ImageService
(
name
=
"image"
)
image_service
.
load_model_config
(
sys
.
argv
[
1
])
gpu_ids
=
os
.
environ
[
"CUDA_VISIBLE_DEVICES"
]
gpus
=
[
int
(
x
)
for
x
in
gpu_ids
.
split
(
","
)]
image_service
.
set_gpus
(
gpus
)
image_service
.
prepare_server
(
workdir
=
sys
.
argv
[
2
],
port
=
int
(
sys
.
argv
[
3
]),
device
=
"gpu"
)
image_service
.
run_server
()
python/examples/imagenet/image_http_client.py
浏览文件 @
acc4304c
...
...
@@ -15,17 +15,22 @@
import
requests
import
base64
import
json
import
time
def
predict
(
image_path
,
server
):
image
=
base64
.
b64encode
(
open
(
image_path
).
read
())
req
=
json
.
dumps
({
"image"
:
image
,
"fetch"
:
[
"score"
]})
r
=
requests
.
post
(
server
,
data
=
req
,
headers
=
{
"Content-Type"
:
"application/json"
})
print
(
r
.
json
()[
"score"
])
#
print(r.json()["score"])
if
__name__
==
"__main__"
:
server
=
"http://127.0.0.1:9
393
/image/prediction"
server
=
"http://127.0.0.1:9
292
/image/prediction"
image_path
=
"./data/n01440764_10026.JPEG"
predict
(
image_path
,
server
)
start
=
time
.
time
()
for
i
in
range
(
1000
):
predict
(
image_path
,
server
)
print
(
i
)
end
=
time
.
time
()
print
(
end
-
start
)
python/examples/imagenet/image_rpc_client.py
浏览文件 @
acc4304c
...
...
@@ -15,15 +15,21 @@
import
sys
from
image_reader
import
ImageReader
from
paddle_serving_client
import
Client
import
time
client
=
Client
()
client
.
load_client_config
(
sys
.
argv
[
1
])
client
.
connect
([
"127.0.0.1:9
393
"
])
client
.
connect
([
"127.0.0.1:9
292
"
])
reader
=
ImageReader
()
with
open
(
"./data/n01440764_10026.JPEG"
)
as
f
:
img
=
f
.
read
()
img
=
reader
.
process_image
(
img
).
reshape
(
-
1
)
fetch_map
=
client
.
predict
(
feed
=
{
"image"
:
img
},
fetch
=
[
"score"
])
start
=
time
.
time
()
for
i
in
range
(
1000
):
with
open
(
"./data/n01440764_10026.JPEG"
)
as
f
:
img
=
f
.
read
()
img
=
reader
.
process_image
(
img
).
reshape
(
-
1
)
fetch_map
=
client
.
predict
(
feed
=
{
"image"
:
img
},
fetch
=
[
"score"
])
print
(
i
)
end
=
time
.
time
()
print
(
end
-
start
)
print
(
fetch_map
[
"score"
])
#
print(fetch_map["score"])
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