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dc822505
编写于
12月 08, 2020
作者:
W
wangjiawei04
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电子邮件补丁
差异文件
fix test_client in cascade rcnn
上级
87af40e9
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3
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python/examples/cascade_rcnn/000000570688.jpg
python/examples/cascade_rcnn/000000570688.jpg
+0
-0
python/examples/cascade_rcnn/label_list.txt
python/examples/cascade_rcnn/label_list.txt
+81
-0
python/examples/cascade_rcnn/test_client.py
python/examples/cascade_rcnn/test_client.py
+40
-0
未找到文件。
python/examples/cascade_rcnn/000000570688.jpg
0 → 100644
浏览文件 @
dc822505
135.1 KB
python/examples/cascade_rcnn/label_list.txt
0 → 100644
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dc822505
background
person
bicycle
car
motorcycle
airplane
bus
train
truck
boat
traffic light
fire hydrant
stop sign
parking meter
bench
bird
cat
dog
horse
sheep
cow
elephant
bear
zebra
giraffe
backpack
umbrella
handbag
tie
suitcase
frisbee
skis
snowboard
sports ball
kite
baseball bat
baseball glove
skateboard
surfboard
tennis racket
bottle
wine glass
cup
fork
knife
spoon
bowl
banana
apple
sandwich
orange
broccoli
carrot
hot dog
pizza
donut
cake
chair
couch
potted plant
bed
dining table
toilet
tv
laptop
mouse
remote
keyboard
cell phone
microwave
oven
toaster
sink
refrigerator
book
clock
vase
scissors
teddy bear
hair drier
toothbrush
python/examples/cascade_rcnn/test_client.py
0 → 100644
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# 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
*
import
numpy
as
np
preprocess
=
Sequential
([
File2Image
(),
BGR2RGB
(),
Div
(
255.0
),
Normalize
([
0.485
,
0.456
,
0.406
],
[
0.229
,
0.224
,
0.225
],
False
),
Resize
(
800
,
1333
),
Transpose
((
2
,
0
,
1
)),
PadStride
(
32
)
])
postprocess
=
RCNNPostprocess
(
"label_list.txt"
,
"output"
)
client
=
Client
()
client
.
load_client_config
(
"serving_client/serving_client_conf.prototxt"
)
client
.
connect
([
'127.0.0.1:9292'
])
im
=
preprocess
(
'000000570688.jpg'
)
fetch_map
=
client
.
predict
(
feed
=
{
"image"
:
im
,
"im_info"
:
np
.
array
(
list
(
im
.
shape
[
1
:])
+
[
1.0
]),
"im_shape"
:
np
.
array
(
list
(
im
.
shape
[
1
:])
+
[
1.0
])
},
fetch
=
[
"multiclass_nms_0.tmp_0"
],
batch
=
True
)
fetch_map
[
"image"
]
=
'000000570688.jpg'
print
(
fetch_map
)
postprocess
(
fetch_map
)
print
(
fetch_map
)
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