# 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. try: from paddle_serving_server_gpu.pipeline import PipelineClient except ImportError: from paddle_serving_server.pipeline import PipelineClient import numpy as np import requests import json import cv2 import base64 import os client = PipelineClient() client.connect(['127.0.0.1:18090']) def cv2_to_base64(image): return base64.b64encode(image).decode('utf8') test_img_dir = "imgs/" for img_file in os.listdir(test_img_dir): with open(os.path.join(test_img_dir, img_file), 'rb') as file: image_data = file.read() image = cv2_to_base64(image_data) for i in range(1): ret = client.predict(feed_dict={"image": image}, fetch=["res"]) print(ret) #print(ret)