"src/vscode:/vscode.git/clone" did not exist on "ef7aa28052f9c8893911a223e52e760c953d0a8e"
pipeline_rpc_client.py 1.46 KB
Newer Older
LDOUBLEV's avatar
LDOUBLEV committed
1
2
3
4
5
6
7
8
9
10
11
12
13
# 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.
LDOUBLEV's avatar
LDOUBLEV committed
14
15
16
17
try:
    from paddle_serving_server_gpu.pipeline import PipelineClient
except ImportError:
    from paddle_serving_server.pipeline import PipelineClient
LDOUBLEV's avatar
LDOUBLEV committed
18
19
20
import numpy as np
import requests
import json
LDOUBLEV's avatar
LDOUBLEV committed
21
import cv2
LDOUBLEV's avatar
LDOUBLEV committed
22
23
24
import base64
import os

LDOUBLEV's avatar
LDOUBLEV committed
25
client = PipelineClient()
tink2123's avatar
tink2123 committed
26
client.connect(['127.0.0.1:18091'])
LDOUBLEV's avatar
LDOUBLEV committed
27

LDOUBLEV's avatar
LDOUBLEV committed
28
29
30
31
32

def cv2_to_base64(image):
    return base64.b64encode(image).decode('utf8')


tink2123's avatar
tink2123 committed
33
34
35
36
37
38
import argparse
parser = argparse.ArgumentParser(description="args for paddleserving")
parser.add_argument("--image_dir", type=str, default="../../doc/imgs/")
args = parser.parse_args()
test_img_dir = args.image_dir

LDOUBLEV's avatar
LDOUBLEV committed
39
for img_file in os.listdir(test_img_dir):
LDOUBLEV's avatar
LDOUBLEV committed
40
    with open(os.path.join(test_img_dir, img_file), 'rb') as file:
LDOUBLEV's avatar
LDOUBLEV committed
41
42
        image_data = file.read()
    image = cv2_to_base64(image_data)
LDOUBLEV's avatar
LDOUBLEV committed
43

44
45
46
    for i in range(1):
        ret = client.predict(feed_dict={"image": image}, fetch=["res"])
        print(ret)